Financial hydroelectric enterprise data intelligent analysis system

Abstract

The invention discloses a financial hydropower enterprise data intelligent analysis system, and relates to the technical field of financial management. According to the financial water and electricity enterprise data intelligent analysis system, project budget, project plan starting and ending dates and project responsible department information are extracted from a project plan, project budget quota division is carried out according to a preset department management hierarchy distribution proportion, financial docking personnel are determined to be responsible persons, and at the same time, the project budget quota is divided according to the preset department management hierarchy distribution proportion. The method enhances the understanding and control degree of a person in charge to a project, provides support for the smooth development of financial management work, and can achieve the intelligent pre-auditing processing of invoice reimbursement through the standardized process drawing of invoice reimbursement, thereby reducing the workload of financial staff, providing guarantee for the efficient development of financial work, and improving the efficiency of the financial management work. And budget reimbursement early warning and financial report automatic generation can be carried out in combination with project progress information and residual project budget, so that functionality is more diversified, and more diversified data reference conditions are provided for enterprise management.

Description

Technical Field

[0001] The present invention relates to the technical field of financial management, and in particular to a financial data intelligent analysis system for hydropower enterprises. Background Art

[0002] In modern enterprise management, accounting information is an important basis for enterprise operation decision-making. Traditional accounting information processing mainly relies on manual operation and simple software tools. These methods are inefficient and prone to errors when processing large amounts of complex accounting data. With the expansion of enterprise scale and the increase of economic activities, the volume of accounting information has shown explosive growth. Traditional accounting information processing methods can no longer meet the needs of enterprises for data processing speed and accuracy. For the financial management of hydropower enterprises, the focus includes six major systems: account books, accounting subject structure, accounting rules, authority control, period-end closing, and financial reports. Financial management constructed through standardized accounting language and flexible business support capabilities provides data support for the comprehensive management of hydropower enterprises.

[0003] As described in application number 202410419058.3, an accounting information calculation system and method based on big data can make full use of the advantages of big data technology, automatically process large amounts of accounting data from different data sources, support flexible accounting rule configuration, provide real-time and accurate accounting results, and present them to users through intuitive reports and charts; it can not only improve the efficiency and accuracy of accounting, but also help enterprises better understand and utilize accounting information, and support enterprise decision-making and risk management.

[0004] Based on the retrieval of the above information, it can be seen that conventional financial management lacks risk warning for project budgets, and the workload that financial management needs to handle still mainly relies on manual operations by accountants. When the project invoice is reimbursed, the financial docking personnel are not unified, and the business quality of the docking personnel is uneven, which is not conducive to the smooth development of financial work. In addition, the issuance date of the financial report is relatively fixed, and it is impossible to generate financial reports conveniently and flexibly according to the actual situation, which affects the company's effective understanding and control of the project operation status. For this reason, a financial hydropower enterprise data intelligent analysis system is proposed. By extracting data from the project plan, project budget planning and docking responsible persons are designated, which improves the project management personnel's understanding and control of the project, reduces the workload of financial management personnel, and improves the functionality of financial management. Summary of the invention

[0005] 1. Technical issues to be resolved

[0006] In view of the deficiencies in the prior art, the present invention provides a financial intelligent analysis system for hydropower enterprise data, which solves the problems that conventional financial management lacks risk warning for project budgets, the financial liaison personnel are not unified, and the business quality of the liaison personnel is uneven, which is not conducive to the smooth development of financial work, and the issuance date of financial reports is relatively fixed, and it is impossible to generate financial reports conveniently and flexibly according to actual conditions, which affects the company's effective understanding and control of the project operation status.

[0007] (II) Technical solution

[0008] To achieve the above purpose, the present invention is implemented through the following technical solutions: a financial data intelligent analysis system for hydropower enterprises, including a financial intelligent processing platform, the financial intelligent processing platform includes a project classification unit, a plan processing unit, a reimbursement review unit, a risk warning unit and a quota supervision unit, the project classification unit is respectively connected with the plan processing unit, the risk warning unit and the quota supervision unit, the plan processing unit is connected with the reimbursement review unit, the reimbursement review unit is respectively connected with the risk warning unit and the quota supervision unit, and the risk warning unit is connected with the quota supervision unit;

[0009] The project classification unit is used to establish corresponding project classifications according to different projects of the hydropower enterprise.

[0010] The present invention is further configured as follows: the plan processing unit includes a plan keyword extraction module, a financial analysis module and a risk allocation module, the plan keyword extraction module is connected to the financial analysis module, and the financial analysis module is connected to the risk allocation module.

[0011] The present invention is further configured as follows: the plan keyword extraction module is used to extract the project budget, the project plan start and end date and the project responsible department from the project plan;

[0012] The financial analysis module is used to establish a percentage gradient budget allocation rule and obtain specific information of the person in charge of different management levels of the project responsible department, wherein the percentage gradient budget allocation rule includes setting the allocation ratio of different management levels according to the management relationship of the project responsible department and calculating the corresponding project budget amount of the corresponding management level;

[0013] The risk sharing module is used to grant a corresponding project budget to a specific person in charge according to the percentage gradient budget division rule as the project budget amount of the person in charge. The calculation formula includes:

[0014] Z1=A×V1

[0015] Z2=B×V2

[0016] Z3=C×V3

[0017] A+B+C=1

[0018] In the formula, V1 is the allocation ratio corresponding to A, A is the highest-level project management person in charge, Z1 is A's project budget amount, V2 is the allocation ratio corresponding to B, B is the second-highest-level project management person in charge, Z2 is B's project budget amount, V3 is the allocation ratio corresponding to C, C is the third-level project management person in charge, and Z3 is C's project budget amount.

[0019] The present invention is further configured as follows: the reimbursement review unit includes a reimbursement standardization processing module, a pre-review processing module, a financial review module and a defect feedback module; the reimbursement standardization processing module is connected to the pre-review processing module; the pre-review processing module is respectively connected to the financial review module and the defect feedback module; and the financial review module is connected to the defect feedback module.

[0020] The present invention is further configured as follows: the reimbursement standardization processing module is used to establish a standardized process for invoice reimbursement data with a person-in-charge mark;

[0021] The pre-audit processing module is used to pre-audit the invoice data to be reimbursed according to the standardized process, obtain the person in charge information corresponding to the invoice to be reimbursed, and extract the amount to be reimbursed in the invoice to be reimbursed, and compare it with the remaining project budget of the corresponding person in charge:

[0022] K=UY

[0023] In the formula, U is the amount to be reimbursed, Y is the remaining project budget, when K is less than zero, the budget is judged to be sufficient, and when K is greater than or equal to zero, the budget is judged to be exceeded;

[0024] The financial audit module is used for financial personnel to perform quality inspection on the invoice data to be reimbursed when the budget is sufficient. After the quality inspection passes, the invoice reimbursement is completed. After the quality inspection fails, the invoice data to be reimbursed is marked as unqualified quality as a quality abnormality mark;

[0025] The defect feedback module is used to compare the amount to be reimbursed corresponding to the invoice to be reimbursed with the remaining project budget of other responsible persons when the budget is overspent, screen out the responsible persons with sufficient budget, and feedback the over-budget information and the information of the responsible persons with sufficient budget to the responsible persons corresponding to the invoice to be reimbursed;

[0026] It is also used to feedback the quality abnormality mark of the invoice data to be reimbursed to the person in charge of the corresponding invoice to be reimbursed.

[0027] The present invention is further configured as follows: the risk warning unit includes a project progress analysis module and a reimbursement warning module, and the project progress analysis module is connected to the reimbursement warning module;

[0028] The financial audit module is connected to the reimbursement warning module.

[0029] The present invention is further configured as follows: the project progress analysis module is used to extract invoice issuance date information from the reimbursement data of completed invoice reimbursement, and compare it with the project plan start and end dates to obtain project progress information corresponding to the invoice issuance date;

[0030] The reimbursement warning module is used to count the amount of previously completed invoice reimbursements for the same project after completing an invoice reimbursement, as the reimbursed budget, obtain the ratio of the reimbursed budget to the project budget, and perform a project budget reimbursement warning in combination with the project progress information corresponding to the invoice issuance date, specifically including:

[0031]

[0032] Where, T is the invoice issuance date, T e is the project end date, T s is the project start date, W1 is the weight ratio of project progress information, R i is the reimbursed budget, R I is the project budget, W2 is the project budget weight ratio, and W1 is greater than W2. When Q is greater than zero, no budget reimbursement warning will be issued. When Q is less than or equal to zero, a budget reimbursement warning for the corresponding project will be issued and a financial report will be generated.

[0033] The present invention is further configured as follows: the credit supervision unit includes a credit analysis module, a credit migration record module, a large amount monitoring module and a cumulative monitoring module, the credit analysis module is connected to the credit migration record module, and the credit migration record module is respectively connected to the large amount monitoring module and the cumulative monitoring module;

[0034] The risk sharing module is connected to the credit limit analysis module.

[0035] The present invention is further configured as follows: the quota analysis module is used to obtain the remaining project budget quota information of the corresponding person in charge after completing an invoice reimbursement;

[0036] The quota migration record module is used to record the time information and quota information of the budget quota when one person in charge allocates the budget quota to another person in charge;

[0037] The large amount monitoring module is used to set the large amount monitoring standard. When the allocated budget exceeds the large amount monitoring standard, all project leaders are notified to determine whether the allocated budget is valid. When all project leaders determine that the allocated budget is valid, all leaders are marked for the allocated budget. Otherwise, the allocated budget is invalid and invoice reimbursement cannot be performed.

[0038] The cumulative monitoring module is used to set a monitoring standard for the total amount of the cumulative divided budget quota. When the total amount of the divided budget quota obtained by a responsible person exceeds the monitoring standard, the responsible person is subject to key behavior monitoring.

[0039] The present invention also discloses a method for using a financial hydropower enterprise data intelligent analysis system, which specifically includes the following steps:

[0040] S1. Use the plan keyword extraction module to extract the project budget, project start and end dates and project responsible department from the project plan, and establish a percentage gradient budget division rule, where the percentage gradient budget division rule includes setting the allocation ratio of different management levels according to the management relationship of the project responsible department, calculating the corresponding project budget amount of the corresponding management level, and obtaining the specific person in charge of different management levels of the project responsible department through the financial analysis module. The risk sharing module grants the corresponding project budget to the specific person in charge according to the percentage gradient budget division rule as the project budget amount of the person in charge. The calculation formula includes:

[0041] Z1=A×V1

[0042] Z2=B×V2

[0043] Z3=C×V3

[0044] A+B+C=1

[0045] In the formula, V1 is the allocation ratio corresponding to A, A is the highest-level project management person in charge, Z1 is A's project budget, V2 is the allocation ratio corresponding to B, B is the second-highest-level project management person in charge, Z2 is B's project budget, V3 is the allocation ratio corresponding to C, C is the third-level project management person in charge, and Z3 is C's project budget;

[0046] S2. A standardized process for invoice reimbursement data with a person in charge mark is established through the reimbursement standardization processing module. The pre-audit processing module pre-audits the invoice data to be reimbursed according to the standardized process, obtains the person in charge information corresponding to the invoice to be reimbursed, and extracts the data on the amount to be reimbursed from the invoice to be reimbursed, and compares it with the remaining project budget of the corresponding person in charge:

[0047] K=UY

[0048] Where U is the amount to be reimbursed, Y is the remaining project budget, when K is less than zero, the budget is judged to be sufficient and go to S4, when K is greater than or equal to zero, the budget is judged to be in excess and go to S3;

[0049] S3. When the budget exceeds the limit, the defect feedback module compares the amount to be reimbursed corresponding to the invoice to be reimbursed with the remaining project budget of other responsible persons, selects the responsible persons with sufficient budget, and feeds back the excess information and the information of the responsible persons with sufficient budget to the responsible persons corresponding to the invoice to be reimbursed;

[0050] S4. When the budget is sufficient, the financial audit module allows financial personnel to conduct quality inspection on the invoice data to be reimbursed. After the quality inspection passes, the invoice reimbursement is completed. If the quality inspection fails, the unqualified parts of the invoice data to be reimbursed are marked as quality abnormalities. The quality abnormality marks of the invoice data to be reimbursed are fed back to the person in charge of the corresponding invoices to be reimbursed through the defect feedback module;

[0051] S5. After completing an invoice reimbursement, the reimbursement warning module counts the amount of previously completed invoice reimbursements for the same project as the reimbursed budget, obtains the ratio of the reimbursed budget to the project budget, extracts the invoice issuance date information from the reimbursement data of the completed invoice reimbursement through the project progress analysis module, and compares it with the project plan start and end dates to obtain the project progress information corresponding to the invoice issuance date. Combined with the project progress information corresponding to the invoice issuance date, the project budget reimbursement warning is issued, specifically including:

[0052]

[0053] Where, T is the invoice issuance date, T e is the project end date, T s is the project start date, W1 is the weight ratio of project progress information, R i is the reimbursed budget, R I is the project budget, W2 is the project budget weight ratio, and W1 is greater than W2. When Q is greater than zero, no budget reimbursement warning will be issued. When Q is less than or equal to zero, a budget reimbursement warning for the corresponding project will be issued and a financial report will be generated.

[0054] S6. After completing an invoice reimbursement, the quota analysis module obtains the remaining project budget quota information of the corresponding person in charge. When one person in charge allocates the budget quota to another person in charge, the quota migration record module is used to record the time information and quota information of the allocated budget quota. The large-amount monitoring module is used to set the large-amount monitoring standard. When the allocated budget quota exceeds the large-amount monitoring standard, all project persons in charge are notified to determine whether the allocated budget quota is valid. When all project persons in charge determine that the allocated budget quota is valid, all person in charge marks are added to the allocated budget quota. Otherwise, the allocated budget quota is determined to be invalid and invoice reimbursement cannot be made. The cumulative monitoring module is used to set the monitoring standard for the total amount of the accumulated allocated budget quota. When the total amount of the allocated budget quota obtained by a person in charge exceeds the monitoring standard, the person in charge is subject to key behavior monitoring.

[0055] (III) Beneficial effects

[0056] The present invention provides a financial data intelligent analysis system for hydropower enterprises. It has the following beneficial effects:

[0057] (1) The present invention extracts the project budget, project start and end dates, and project responsible department information from the project plan, divides the project budget according to the preset department management level allocation ratio, determines the financial liaison personnel as the person in charge, and strengthens the person in charge's understanding and control of the project, providing support for the smooth development of financial management work. In addition, through the formulation of a standardized process for invoice reimbursement, it can realize intelligent pre-audit processing of invoice reimbursement to reduce the workload of financial personnel and provide guarantees for the efficient development of financial work. It can also combine project progress information and remaining project budget to conduct budget reimbursement warnings and automatically generate financial reports, no longer limited to the generation of financial reports at fixed times, and provide timely and effective conditions for enterprises to understand the financial management of projects. The functionality is more diversified, providing more diversified data reference conditions for enterprise management.

[0058] (2) The present invention provides a reference for enterprises to understand the specific application direction of project budgets by formulating project budget quotas for different management levels and monitoring the trend of the quotas. At the same time, combined with the project progress information, it can also provide indirect reference conditions for enterprises to understand the management capabilities of persons in charge at different management levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 It is a system principle block diagram of the present invention;

[0060] Figure 2 It is a system principle block diagram of the plan processing unit and the quota supervision unit of the present invention;

[0061] Figure 3 It is a system principle block diagram of the reimbursement review unit and risk warning unit of the present invention.

[0062] In the figure, 1. Financial intelligent processing platform; 2. Project classification unit; 3. Plan processing unit; 4. Reimbursement review unit; 5. Risk warning unit; 6. Quota supervision unit; 7. Plan keyword extraction module; 8. Financial analysis module; 9. Risk sharing module; 10. Reimbursement standardization processing module; 11. Pre-review processing module; 12. Financial review module; 13. Defect feedback module; 14. Project progress analysis module; 15. Reimbursement warning module; 16. Quota analysis module; 17. Quota migration record module; 18. Large amount monitoring module; 19. Cumulative monitoring module. DETAILED DESCRIPTION

[0063] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0064] See also Figure 1-3 , the embodiment of the present invention provides the following two technical solutions:

[0065] Embodiment 1

[0066] A financial intelligent analysis system for hydropower enterprise data includes a financial intelligent processing platform 1 composed of a project classification unit 2, a plan processing unit 3, a reimbursement review unit 4 and a risk warning unit 5. The project classification unit 2 is connected to the plan processing unit 3 and the risk warning unit 5 respectively, the plan processing unit 3 is connected to the reimbursement review unit 4, and the reimbursement review unit 4 is connected to the risk warning unit 5. The project classification unit 2 is used to build corresponding project classifications according to different projects of the hydropower enterprise.

[0067] As a preferred solution, in order to achieve the acquisition of key data, the plan processing unit 3 includes a plan keyword extraction module 7, a financial analysis module 8 and a risk allocation module 9. The plan keyword extraction module 7 is used to extract the project budget, the project start and end date and the project responsible department from the project plan;

[0068] The plan keyword extraction module 7 is connected to the financial analysis module 8. The financial analysis module 8 is used to establish a percentage gradient budget division rule and obtain the specific person in charge information of different management levels of the project responsible department. The percentage gradient budget division rule includes setting the allocation ratio of different management levels according to the management relationship of the project responsible department and calculating the corresponding project budget amount of the corresponding management level;

[0069] The financial analysis module 8 is connected to the risk allocation module 9. The risk allocation module 9 is used to grant the corresponding project budget to the specific person in charge according to the percentage gradient budget division rule. As the project budget amount of the person in charge, the calculation formula includes:

[0070] Z1=A×V1

[0071] Z2=B×V2

[0072] Z3=C×V3

[0073] A+B+C=1

[0074] In the formula, V1 is the allocation ratio corresponding to A, A is the highest-level project management person in charge, Z1 is A's project budget amount, V2 is the allocation ratio corresponding to B, B is the second-highest-level project management person in charge, Z2 is B's project budget amount, V3 is the allocation ratio corresponding to C, C is the third-level project management person in charge, and Z3 is C's project budget amount.

[0075] As a preferred solution, in order to realize intelligent review of invoice reimbursement and reduce the workload of financial staff, the reimbursement review unit 4 includes a reimbursement standardization processing module 10, a pre-review processing module 11, a financial review module 12 and a defect feedback module 13. The reimbursement standardization processing module 10 is used to establish a standardized process for invoice reimbursement data with a person in charge mark;

[0076] The reimbursement standardization processing module 10 is connected to the pre-audit processing module 11. The pre-audit processing module 11 is used to pre-audit the invoice data to be reimbursed according to the standardized process, obtain the information of the person in charge corresponding to the invoice to be reimbursed, and extract the data of the amount to be reimbursed in the invoice to be reimbursed, and compare it with the remaining project budget of the corresponding person in charge:

[0077] K=UY

[0078] In the formula, U is the amount to be reimbursed, Y is the remaining project budget, when K is less than zero, the budget is judged to be sufficient, and when K is greater than or equal to zero, the budget is judged to be exceeded;

[0079] The pre-audit processing module 11 is connected to the financial audit module 12. The financial audit module 12 is used for the financial personnel to perform quality inspection on the invoice data to be reimbursed when the budget is sufficient. After the quality inspection passes, the invoice reimbursement is completed. After the quality inspection fails, the invoice data to be reimbursed is marked as unqualified quality as a quality abnormality mark;

[0080] The pre-audit processing module 11 is connected to the defect feedback module 13, and the financial audit module 12 is connected to the defect feedback module 13. The defect feedback module 13 is used to compare the amount to be reimbursed corresponding to the invoice to be reimbursed with the remaining project budget of other responsible persons when the budget is overspent, screen out the responsible persons with sufficient budget, and feedback the over-budget information and the information of the responsible persons with sufficient budget to the responsible persons corresponding to the invoice to be reimbursed;

[0081] It is also used to feedback the quality abnormality mark of the invoice data to be reimbursed to the person in charge of the corresponding invoice to be reimbursed.

[0082] As a preferred solution, in order to increase the functionality of financial management, the risk warning unit 5 includes a project progress analysis module 14 and a reimbursement warning module 15. The project progress analysis module 14 is used to extract the invoice issuance date information from the reimbursement data of the completed invoice reimbursement, and compare it with the project plan start and end dates to obtain the project progress information corresponding to the invoice issuance date;

[0083] The project progress analysis module 14 is connected to the reimbursement warning module 15, and the financial audit module 12 is connected to the reimbursement warning module 15. The reimbursement warning module 15 is used to count the amount of previously completed invoice reimbursements for the same project after completing an invoice reimbursement, as the reimbursed budget, obtain the ratio of the reimbursed budget to the project budget, and perform a project budget reimbursement warning in combination with the project progress information corresponding to the invoice issuance date, specifically including:

[0084]

[0085] Where, T is the invoice issuance date, T e is the project end date, T s is the project start date, W1 is the weight ratio of project progress information, R i is the reimbursed budget, R I is the project budget, W2 is the project budget weight ratio, and W1 is greater than W2. When Q is greater than zero, no budget reimbursement warning will be issued. When Q is less than or equal to zero, a budget reimbursement warning for the corresponding project will be issued and a financial report will be generated.

[0086] In this embodiment, the processing speed of invoice reimbursement is improved through intelligent pre-audit, the workload of financial personnel is reduced, and budget reimbursement warnings can be issued based on the project budget and the total amount of invoice reimbursement, providing early warning functionality for financial management.

[0087] Embodiment 2

[0088] This embodiment is an improvement of the previous embodiment. A financial data intelligent analysis system for hydropower enterprises further includes a quota supervision unit 6. The quota supervision unit 6 is connected to the project classification unit 2, the reimbursement review unit 4 and the risk warning unit 5 respectively. Specifically, the quota supervision unit 6 includes a quota analysis module 16, a quota migration record module 17, a large amount monitoring module 18 and a cumulative monitoring module 19. The risk sharing module 9 is connected to the quota analysis module 16. The quota analysis module 16 is used to obtain the remaining project budget quota information of the corresponding person in charge after completing an invoice reimbursement.

[0089] The quota analysis module 16 is connected to the quota migration recording module 17. The quota migration recording module 17 is used to record the time information and quota information of the budget quota when one person in charge allocates the budget quota to another person in charge;

[0090] The quota migration record module 17 is connected to the large-amount monitoring module 18. The large-amount monitoring module 18 is used to set the large-amount monitoring standard. When the divided budget quota exceeds the large-amount monitoring standard, all project leaders are notified to determine whether the divided budget quota is valid. When all project leaders determine that the divided budget quota is valid, all leaders are marked for the divided budget quota. Otherwise, the divided budget quota is determined to be invalid and invoice reimbursement cannot be performed.

[0091] The quota migration recording module 17 is connected to the cumulative monitoring module 19. The cumulative monitoring module 19 is used to set the monitoring standard for the total amount of the accumulated divided budget quota. When the total amount of the divided budget quota obtained by a responsible person exceeds the monitoring standard, the responsible person is subject to key behavior monitoring.

[0092] The advantage of the second embodiment over the first embodiment is that the connection between different persons in charge is strengthened by dividing the budget quota, and the division flow of the budget quota provides indirect data support for the enterprise to judge the working ability of the person in charge.

[0093] A method for using a financial hydropower enterprise data intelligent analysis system, specifically comprising the following steps:

[0094] S1. Use the plan keyword extraction module 7 to extract the project budget, project start and end dates and project responsible department from the project plan, and establish a percentage gradient budget division rule, where the percentage gradient budget division rule includes setting the allocation ratio of different management levels according to the management relationship of the project responsible department, calculating the corresponding project budget amount of the corresponding management level, and obtaining the specific person in charge information of different management levels of the project responsible department through the financial analysis module 8. The risk sharing module 9 grants the corresponding project budget to the specific person in charge according to the percentage gradient budget division rule as the project budget amount of the person in charge. The calculation formula includes:

[0095] Z1=A×V1

[0096] Z2=B×V2

[0097] Z3=C×V3

[0098] A+B+C=1

[0099] In the formula, V1 is the allocation ratio corresponding to A, A is the highest-level project management person in charge, Z1 is A's project budget, V2 is the allocation ratio corresponding to B, B is the second-highest-level project management person in charge, Z2 is B's project budget, V3 is the allocation ratio corresponding to C, C is the third-level project management person in charge, and Z3 is C's project budget;

[0100] S2. A standardized process for invoice reimbursement data with a person in charge mark is established through the reimbursement standardization processing module 10. The pre-audit processing module 11 pre-audits the invoice data to be reimbursed according to the standardized process, obtains the person in charge information corresponding to the invoice to be reimbursed, and extracts the data of the amount to be reimbursed from the invoice to be reimbursed, and compares it with the remaining project budget of the corresponding person in charge:

[0101] K=UY

[0102] Where U is the amount to be reimbursed, Y is the remaining project budget, when K is less than zero, the budget is judged to be sufficient and go to S4, when K is greater than or equal to zero, the budget is judged to be in excess and go to S3;

[0103] S3. When the budget is exceeded, the defect feedback module 13 compares the amount to be reimbursed corresponding to the invoice to be reimbursed with the remaining project budget of other responsible persons, selects the responsible persons with sufficient budget, and feeds back the excess information and the information of the responsible persons with sufficient budget to the responsible persons corresponding to the invoice to be reimbursed;

[0104] S4. When the budget is sufficient, the financial audit module 12 allows the financial personnel to perform quality inspection on the invoice data to be reimbursed. After the quality inspection passes, the invoice reimbursement is completed. After the quality inspection fails, the unqualified quality of the invoice data to be reimbursed is marked as a quality abnormality mark, and the quality abnormality mark of the invoice data to be reimbursed is fed back to the person in charge of the corresponding invoice to be reimbursed through the defect feedback module 13;

[0105] S5. After completing an invoice reimbursement, the reimbursement warning module 15 counts the amount of previously completed invoice reimbursements for the same project as the reimbursed budget, obtains the ratio of the reimbursed budget to the project budget, extracts the invoice issuance date information from the reimbursement data of the completed invoice reimbursement through the project progress analysis module 14, and compares it with the project plan start and end date to obtain the project progress information corresponding to the invoice issuance date, and performs a project budget reimbursement warning in combination with the project progress information corresponding to the invoice issuance date, specifically including:

[0106]

[0107] Where, T is the invoice issuance date, T e is the project end date, T s is the project start date, W1 is the weight ratio of project progress information, R i is the reimbursed budget, R I is the project budget, W2 is the project budget weight ratio, and W1 is greater than W2. When Q is greater than zero, no budget reimbursement warning will be issued. When Q is less than or equal to zero, a budget reimbursement warning for the corresponding project will be issued and a financial report will be generated.

[0108] S6. After completing an invoice reimbursement, the quota analysis module 16 obtains the remaining project budget quota information of the corresponding person in charge. When one person in charge allocates the budget quota to another person in charge, the quota migration record module 17 records the time information and quota information of the allocated budget quota. The large-amount monitoring standard is set using the large-amount monitoring module 18. When the allocated budget quota exceeds the large-amount monitoring standard, all project persons in charge are notified to determine whether the allocated budget quota is valid. When all project persons in charge determine that the allocated budget quota is valid, all person in charge marks are added to the allocated budget quota. Otherwise, the allocated budget quota is determined to be invalid and invoice reimbursement cannot be made. The monitoring standard for the cumulative total amount of allocated budget quotas is set through the cumulative monitoring module 19. When the total amount of allocated budget quotas obtained by a person in charge exceeds the monitoring standard, the person in charge is subject to key behavior monitoring.

Claims

1. A financial data intelligent analysis system for hydropower enterprises, comprising a financial intelligent processing platform (1), characterized in that: The financial intelligent processing platform (1) comprises a project classification unit (2), a plan processing unit (3), a reimbursement review unit (4), a risk warning unit (5) and a quota supervision unit (6); the project classification unit (2) is connected to the plan processing unit (3), the risk warning unit (5) and the quota supervision unit (6) respectively; the plan processing unit (3) is connected to the reimbursement review unit (4); the reimbursement review unit (4) is connected to the risk warning unit (5) and the quota supervision unit (6) respectively; and the risk warning unit (5) is connected to the quota supervision unit (6); The project classification unit (2) is used to establish corresponding project classifications according to different projects of the hydropower enterprise.

2. According to claim 1, a financial hydropower enterprise data intelligent analysis system is characterized by: The plan processing unit (3) comprises a plan keyword extraction module (7), a financial analysis module (8) and a risk allocation module (9); the plan keyword extraction module (7) is connected to the financial analysis module (8), and the financial analysis module (8) is connected to the risk allocation module (9).

3. The financial hydropower enterprise data intelligent analysis system according to claim 2 is characterized by: The plan keyword extraction module (7) is used to extract the project budget, the project start and end dates and the project responsible department from the project plan; The financial analysis module (8) is used to establish a percentage gradient budget division rule and obtain specific information of persons in charge of different management levels of the project responsible department, wherein the percentage gradient budget division rule includes setting the allocation ratio of different management levels according to the management relationship of the project responsible department and calculating the corresponding project budget amount of the corresponding management level; The risk sharing module (9) is used to grant a corresponding project budget to a specific person in charge according to the percentage gradient budget division rule, as the project budget amount of the person in charge, and the calculation formula includes: Z1=A×V1 Z2=B×V2 Z3=C×V3 A+B+C=1 In the formula, V1 is the allocation ratio corresponding to A, A is the highest-level project management person in charge, Z1 is A's project budget amount, V2 is the allocation ratio corresponding to B, B is the second-highest-level project management person in charge, Z2 is B's project budget amount, V3 is the allocation ratio corresponding to C, C is the third-level project management person in charge, and Z3 is C's project budget amount.

4. The financial hydropower enterprise data intelligent analysis system according to claim 3 is characterized by: The reimbursement review unit (4) comprises a reimbursement standardization processing module (10), a pre-review processing module (11), a financial review module (12) and a defect feedback module (13); the reimbursement standardization processing module (10) is connected to the pre-review processing module (11); the pre-review processing module (11) is connected to the financial review module (12) and the defect feedback module (13) respectively; and the financial review module (12) is connected to the defect feedback module (13).

5. The financial hydropower enterprise data intelligent analysis system according to claim 4 is characterized by: The reimbursement standardization processing module (10) is used to establish a standardized process for invoice reimbursement data with a person-in-charge mark; The pre-audit processing module (11) is used to pre-audit the invoice data to be reimbursed according to the standardized process, obtain the information of the person in charge corresponding to the invoice to be reimbursed, and extract the data of the amount to be reimbursed in the invoice to be reimbursed, and compare it with the remaining project budget of the corresponding person in charge: K=UY In the formula, U is the amount to be reimbursed, Y is the remaining project budget, when K is less than zero, the budget is judged to be sufficient, and when K is greater than or equal to zero, the budget is judged to be exceeded; The financial audit module (12) is used for allowing financial personnel to perform quality inspection on the invoice data to be reimbursed when the budget is sufficient. After the quality inspection passes, the invoice reimbursement is completed. After the quality inspection fails, the invoice data to be reimbursed is marked as unqualified quality as a quality abnormality mark; The defect feedback module (13) is used to compare the amount to be reimbursed corresponding to the invoice to be reimbursed with the remaining project budget of other responsible persons when the budget is overspent, screen out the responsible persons with sufficient budget, and feed back the overspent information and the information of the responsible persons with sufficient budget to the responsible persons corresponding to the invoice to be reimbursed; It is also used to feedback the quality abnormality mark of the invoice data to be reimbursed to the person in charge of the corresponding invoice to be reimbursed.

6. The financial hydropower enterprise data intelligent analysis system according to claim 5 is characterized by: The risk warning unit (5) comprises a project progress analysis module (14) and a reimbursement warning module (15), and the project progress analysis module (14) is connected to the reimbursement warning module (15); The financial audit module (12) is connected to the reimbursement warning module (15).

7. The financial hydropower enterprise data intelligent analysis system according to claim 6 is characterized by: The project progress analysis module (14) is used to extract the invoice issuance date information from the reimbursement data of the completed invoice reimbursement, and compare it with the project plan start and end dates to obtain the project progress information corresponding to the invoice issuance date; The reimbursement warning module (15) is used to count the amount of previously completed invoice reimbursements for the same project after completing an invoice reimbursement, as the reimbursed budget, obtain the ratio of the reimbursed budget to the project budget, and perform a project budget reimbursement warning in combination with the project progress information corresponding to the invoice issuance date, specifically including: Where, T is the invoice issuance date, T e is the project end date, T s is the project start date, W1 is the weight ratio of project progress information, R i is the reimbursed budget, R I is the project budget, W2 is the project budget weight ratio, and W1 is greater than W2. When Q is greater than zero, no budget reimbursement warning will be issued. When Q is less than or equal to zero, a budget reimbursement warning for the corresponding project will be issued and a financial report will be generated.

8. The financial hydropower enterprise data intelligent analysis system according to claim 7 is characterized by: The credit supervision unit (6) includes a credit analysis module (16), a credit migration record module (17), a large amount monitoring module (18) and a cumulative monitoring module (19), wherein the credit analysis module (16) is connected to the credit migration record module (17), and the credit migration record module (17) is connected to the large amount monitoring module (18) and the cumulative monitoring module (19) respectively; The risk sharing module (9) is connected to the credit limit analysis module (16).

9. The financial hydropower enterprise data intelligent analysis system according to claim 8 is characterized by: The quota analysis module (16) is used to obtain the remaining project budget quota information of the corresponding person in charge after completing an invoice reimbursement; The quota migration recording module (17) is used to record the time information and quota information of the budget quota when one person in charge allocates the budget quota to another person in charge; The large amount monitoring module (18) is used to set a large amount monitoring standard. When the allocated budget amount exceeds the large amount monitoring standard, all project leaders are notified to determine whether the allocated budget amount is valid. When all project leaders determine that the allocated budget amount is valid, all leaders are marked on the allocated budget amount. Otherwise, the allocated budget amount is determined to be invalid and invoice reimbursement cannot be made. The cumulative monitoring module (19) is used to set a monitoring standard for the total amount of the cumulative divided budget quota. When the total amount of the divided budget quota obtained by a responsible person exceeds the monitoring standard, the responsible person is subject to key behavior monitoring.

10. The financial hydropower enterprise data intelligent analysis system according to claim 9 is characterized by: The method of using the system specifically includes the following steps: S1. Extract the project budget, project start and end dates and project responsible department from the project plan by using the plan keyword extraction module (7), and establish a percentage gradient budget division rule, wherein the percentage gradient budget division rule includes setting the allocation ratio of different management levels according to the management relationship of the project responsible department, calculating the corresponding project budget amount of the corresponding management level, obtaining the specific person in charge information of different management levels of the project responsible department through the financial analysis module (8), and the risk allocation module (9) grants the corresponding project budget to the specific person in charge according to the percentage gradient budget division rule as the project budget amount of the person in charge. The calculation formula includes: Z1=A×V1 Z2=B×V2 Z3=C×V3 A+B+C=1 In the formula, V1 is the allocation ratio corresponding to A, A is the highest-level project management person in charge, Z1 is A's project budget, V2 is the allocation ratio corresponding to B, B is the second-highest-level project management person in charge, Z2 is B's project budget, V3 is the allocation ratio corresponding to C, C is the third-level project management person in charge, and Z3 is C's project budget; S2. A standardized process for reimbursement data of invoices with person-in-charge marks is established through the reimbursement standardization processing module (10). The pre-audit processing module (11) pre-audits the invoice data to be reimbursed according to the standardized process, obtains the person-in-charge information corresponding to the invoice to be reimbursed, and extracts the data of the amount to be reimbursed from the invoice to be reimbursed, and compares it with the remaining project budget of the corresponding person-in-charge: K=UY Where U is the amount to be reimbursed, Y is the remaining project budget, when K is less than zero, the budget is judged to be sufficient and go to S4, when K is greater than or equal to zero, the budget is judged to be in excess and go to S3; S3. When the budget is exceeded, the defect feedback module (13) compares the amount to be reimbursed corresponding to the invoice to be reimbursed with the remaining project budget of other responsible persons, selects the responsible persons with sufficient budget, and feeds back the excess information and the information of the responsible persons with sufficient budget to the responsible persons corresponding to the invoice to be reimbursed; S4. When the budget is sufficient, the financial audit module (12) allows the financial personnel to perform quality inspection on the invoice data to be reimbursed. After the quality inspection passes, the invoice reimbursement is completed. If the quality inspection fails, the unqualified parts of the invoice data to be reimbursed are marked as quality abnormalities. The quality abnormality marks of the invoice data to be reimbursed are fed back to the person in charge of the corresponding invoices to be reimbursed through the defect feedback module (13); S5. After completing an invoice reimbursement, the reimbursement warning module (15) collects statistics on the amount of previously completed invoice reimbursements for the same project as the reimbursed budget, obtains the ratio of the reimbursed budget to the project budget, extracts the invoice issuance date information from the reimbursement data of the completed invoice reimbursement through the project progress analysis module (14), and compares it with the project planned start and end dates to obtain the project progress information corresponding to the invoice issuance date. Combined with the project progress information corresponding to the invoice issuance date, a project budget reimbursement warning is issued, specifically including: Where, T is the invoice issuance date, T e is the project end date, T s is the project start date, W1 is the weight ratio of project progress information, R i is the reimbursed budget, R I is the project budget, W2 is the project budget weight ratio, and W1 is greater than W2. When Q is greater than zero, no budget reimbursement warning will be issued. When Q is less than or equal to zero, a budget reimbursement warning for the corresponding project will be issued and a financial report will be generated. S6. After completing an invoice reimbursement, the quota analysis module (16) obtains the remaining project budget quota information of the corresponding person in charge. When a person in charge allocates a budget quota to another person in charge, the quota migration record module (17) records the time information and quota information of the allocated budget quota. The large-amount monitoring module (18) sets the large-amount monitoring standard. When the allocated budget quota exceeds the large-amount monitoring standard, all project persons in charge are notified to determine whether the allocated budget quota is valid. When all project persons in charge determine that the allocated budget quota is valid, all person in charge marks are added to the allocated budget quota. Otherwise, the allocated budget quota is determined to be invalid and invoice reimbursement cannot be performed. The cumulative monitoring module (19) sets the monitoring standard for the total amount of the accumulated allocated budget quota. When the total amount of the allocated budget quota obtained by a person in charge exceeds the monitoring standard, the person in charge is subject to key behavior monitoring.

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