CN114782152A - Financial report management system based on artificial intelligence internet - Google Patents
Financial report management system based on artificial intelligence internet Download PDFInfo
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- CN114782152A CN114782152A CN202210338180.9A CN202210338180A CN114782152A CN 114782152 A CN114782152 A CN 114782152A CN 202210338180 A CN202210338180 A CN 202210338180A CN 114782152 A CN114782152 A CN 114782152A
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Abstract
The invention discloses an artificial intelligence internet-based financial report management system, which comprises a processor, a human-computer interaction module, a data entry module, a data storage module, a data backup module, a calculation module, a report generation module and a budget early warning module, wherein the processor is used for processing, calculating and executing commands of all modules of the whole financial report management system; the invention can check the difference between the budget amount and the total value of the expenditure amounts of each department in real time and in time, and the comparison result is directly sent to the communication terminal of the manager, so that the expenditure conditions of each department can be transmitted to the manager in real time.
Description
Technical Field
The invention relates to the field of report management systems, in particular to a financial report management system based on an artificial intelligence internet.
Background
Finance is a necessary and very core department in each company, manages all income and expense properties of the whole enterprise, so that the finance work needs to be in a state of being lean and refined, and a set of finance report management system is needed, and is mainly used for carrying out detailed registration and management on information such as income, expense use, amount, time, period and the like.
Firstly, the existing artificial intelligence internet-based financial report management system does not have the function of budget early warning, and needs financial staff to count, calculate the expenditure of each department and then summarize so as to know the residual amount of budget money, thereby greatly increasing the financial workload and having the risk of errors; secondly, the existing financial report management system based on the artificial intelligence internet cannot report the expenditure conditions of each department to a manager in time, so that the management of enterprise expenses is inconvenient.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the existing financial report management system based on the artificial intelligence internet does not have the function of budget early warning, because each department of an enterprise needs expenditure, and the budget is limited, the existing report management system needs financial staff to count, calculate the expenditure of each department, and then summarize, so that the residual amount of budget money is known, the financial workload is greatly increased, and the risk of error exists; secondly, the existing financial report management system based on the artificial intelligence internet cannot report the expenditure conditions of each department to a manager in time, so that the management of enterprise expenses is inconvenient.
The invention solves the technical problems through the following technical scheme, and the financial report management system based on the artificial intelligence internet comprises a processor, a man-machine interaction module, a data entry module, a data storage module, a data backup module, a calculation module, a report generation module and a budget early warning module;
the processor is used for processing, calculating and executing commands of all modules of the whole financial report management system;
the human-computer interaction module is used for performing operations such as storage, reading and writing on the financial report management system;
the data storage module is used for storing the uploaded financial report data;
the data backup module is used for backing up and storing financial report data;
the report generation module is used for generating various data and the format of the report;
the budget early warning module is used for early warning budget and reminding the budget value.
Preferably, the budget early warning module comprises a total budget entry unit, a department A expense entry unit, a department B expense entry unit, a department C expense entry unit, a department N expense entry unit, a summary clearing unit, a comparison unit, an MCU unit and an IOT unit.
Preferably, the budget warning module specifically comprises the following processing steps:
the method comprises the following steps: the manager records the budget amount of the whole project in the total budget recording unit;
step two: when each department operates the project, respectively inputting the daily expense from a department A expense input unit, a department B expense input unit, a department C expense input unit and a department N expense input unit;
step three: the collecting and clearing unit collects and counts the daily expenses recorded by the department A expense recording unit, the department B expense recording unit, the department C expense recording unit and the department N expense recording unit;
step four: the comparison module compares the summarized data with the data input by the total budget input unit;
step five: the comparison result is sent to external terminal through the IOT unit after being handled by the MCU unit, and the administrator in time handles after looking over through the terminal.
Preferably, the data backup module includes a data backup unit, a data compression unit and a partition unit, the data compression unit compresses data, the data backup unit stores the compressed data, and the partition unit partitions the data stored in the data backup unit into an a-region, a b-region and a c-region.
Preferably, the calculation module calculates the stored financial data by a processor command, in particular, the data is analyzed by a logistic regression algorithm, the logistic regression function being defined as:
wherein the independent variable z is financial data, the range g (z) is [0,1], and the logistic regression algorithm comprises the following steps:
s1: training by using the existing financial data, and calculating a regression coefficient with the best classification effect;
s2: calculating a group of regression coefficients obtained by training input new data, and judging the category corresponding to the new data;
s3: the model was tested for overall variability and significance of the regression coefficients.
Preferably, the report generation module includes a report template storage unit, a report package and a read-write unit, the report package drives the report template storage unit to work to generate a proper report from the uploaded data, and the user modifies, deletes and copies the report through the read-write module.
Preferably, the comparison unit includes a text storage package, an editing program package and an RTC clock, the text storage package stores a fixed text format, the editing program package edits the exceeding information into a text when the budget exceeds, and the RTC clock attaches the current network time when sending the information.
Preferably, the artificial intelligence based internet financial report management system comprises the following specific processing steps:
s1: financial staff use the man-machine interaction module to enter the financial data to be uploaded into the data entry module;
s2: the data recording module receives the data and then the data storage module and the data backup module perform double storage;
s3: the calculation module calculates the stored financial data through a processor command;
s4: and the report generation module generates a financial report template, and the calculation module transmits the calculated financial data into the report to finish the uploading work of the financial report.
Compared with the prior art, the invention has the following advantages:
when enterprise employees need to pay for a certain project, a manager records the budget amount of the whole project in a total budget recording unit, each department records the current expense from a department A expense recording unit, a department B expense recording unit, a department C expense recording unit and a department N expense recording unit when operating the project, a summary clearing unit performs summary statistics on the current expense recorded by the department A expense recording unit, the department B expense recording unit, the department C expense recording unit and the department N expense recording unit, a comparison module compares the summarized data with the data recorded by the total budget recording unit to budget, and can check the difference between the budget amount and the total value of the expenditure amounts of each department in real time, so that each department can make reasonable reduction work aiming at the expenditure;
after the comparison, the comparison result is processed by the MCU unit and then is sent to the external terminal through the IOT unit, and the expenditure conditions of all departments can be conveyed to a manager in real time, so that the manager can find out the expenditure problems of all departments in time, and correction measures can be taken conveniently and timely.
Drawings
FIG. 1 is a system block diagram of the present invention;
FIG. 2 is a block diagram of a budget warning module system according to the present invention.
Detailed Description
The following examples are given for the detailed implementation and the specific operation procedures, but the scope of the present invention is not limited to the following examples.
As shown in fig. 1-2, the present embodiment provides a technical solution: a financial report management system based on an artificial intelligence internet comprises a processor, a man-machine interaction module, a data entry module, a data storage module, a data backup module, a calculation module, a report generation module and a budget early warning module;
the processor is used for processing, calculating and executing commands of all modules of the whole financial report management system;
the man-machine interaction module is used for performing storage, reading and writing and other operations on the financial report management system;
the data storage module is used for storing the uploaded financial report data;
the data backup module is used for backing up and storing the financial report data;
the report generation module is used for generating various data and the format of the report;
the budget early warning module is used for early warning budget and reminding the budget value.
The budget early warning module comprises a total budget entry unit, a department A expense entry unit, a department B expense entry unit, a department C expense entry unit, a department N expense entry unit, a summary clearing unit, a comparison unit, an MCU unit and an IOT unit.
The budget early warning module comprises the following specific processing steps:
the method comprises the following steps: the manager records the budget amount of the whole project in the total budget recording unit;
step two: when each department operates the project, the daily expense is respectively input from a department A expense input unit, a department B expense input unit, a department C expense input unit and a department N expense input unit;
step three: the collecting and clearing unit collects and counts the daily expenses recorded by the department A expense recording unit, the department B expense recording unit, the department C expense recording unit and the department N expense recording unit;
step four: the comparison module compares the summarized data with the data input by the total budget input unit;
step five: the comparison result is sent to the external terminal through the IOT unit after being processed by the MCU unit, and a manager timely processes the comparison result after checking the comparison result through the terminal.
The data backup module comprises a data backup unit, a data compression unit and a partition unit, wherein the data compression unit compresses data, the data backup unit stores the compressed data, and the partition unit partitions the data stored in the data backup unit into an a area, a b area and a c area.
The calculation module calculates the stored financial data through a processor command, specifically, the data is analyzed by using a logistic regression algorithm, and the logistic regression function is defined as:
wherein the independent variable z is financial data, the range g (z) is [0,1], and the logistic regression algorithm comprises the following steps:
s1: training by using the existing financial data, and calculating a regression coefficient with the best classification effect;
s2: calculating a group of regression coefficients obtained by training input new data, and judging the category corresponding to the new data;
s3: the model was tested for overall variability and significance of the regression coefficients.
The report generation module comprises a report template storage unit, a report package and a read-write unit, wherein the report package drives the report template storage unit to work to generate the uploaded data into a proper report, and a user modifies, deletes and copies the report through the read-write module.
The comparison unit comprises a text storage package, an editing program package and an RTC clock, the text storage package stores a fixed text format, the editing program package edits exceeding information into a text when the budget is exceeded, and the RTC clock attaches the current network time when sending the information.
The financial report management system based on the artificial intelligence internet comprises the following specific processing steps:
s1: financial staff use the man-machine interaction module to input the financial data to be uploaded into the data entry module;
s2: the data recording module receives the data and then the data storage module and the data backup module perform double storage;
s3: the calculation module calculates the stored financial data through a processor command;
s4: and the report generation module generates a financial report template, and the calculation module transmits the calculated financial data into the report to finish the uploading work of the financial report.
In summary, when the invention is used, firstly, a financial staff uses the human-computer interaction module to record financial data to be uploaded into the data recording module, the data recording module receives the data and then the data storage module and the data backup module perform double storage, the data compression unit compresses the data, the data backup unit stores the compressed data, the partition unit partitions the data stored by the data backup unit into a region a, a region b and a region c. When each department operates the project, the current day expenses are respectively input from the department A expense input unit, the department B expense input unit, the department C expense input unit and the department N expense input unit, the summary and clearing unit summarizes and counts the current day expenses input by the department A expense input unit, the department B expense input unit, the department C expense input unit and the department N expense input unit, the comparison module compares the summarized data with the data input by the total budget input unit, the comparison result is processed by the MCU unit and then is sent to an external terminal through the IOT unit, and a manager timely processes the data after checking the data through the terminal.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless explicitly specified otherwise.
Although embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are exemplary and not to be construed as limiting the present invention, and that changes, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.
Claims (8)
1. A financial report management system based on an artificial intelligence internet is characterized by comprising a processor, a man-machine interaction module, a data entry module, a data storage module, a data backup module, a calculation module, a report generation module and a budget early warning module;
the processor is used for processing, calculating and executing commands of all modules of the whole financial report management system;
the man-machine interaction module is used for performing storage, reading and writing and other operations on the financial report management system;
the data storage module is used for storing the uploaded financial report data;
the data backup module is used for backing up and storing financial report data;
the report generation module is used for generating various data and the format of the report;
the budget early warning module is used for early warning budget and reminding a budget value.
2. The artificial intelligence based internet financial report management system of claim 1 further comprising: the budget early warning module comprises a total budget entry unit, a department A expense entry unit, a department B expense entry unit, a department C expense entry unit, a department N expense entry unit, a summary clearing unit, a comparison unit, an MCU unit and an IOT unit.
3. An artificial intelligence based internet financial report management system according to claim 2 and further comprising: the budget early warning module comprises the following specific processing steps:
the method comprises the following steps: the manager records the budget amount of the whole project in the total budget recording unit;
step two: when each department operates the project, respectively inputting the daily expense from a department A expense input unit, a department B expense input unit, a department C expense input unit and a department N expense input unit;
step three: the collecting and clearing unit collects and counts the daily expenses recorded by the department A expense recording unit, the department B expense recording unit, the department C expense recording unit and the department N expense recording unit;
step four: the comparison module compares the summarized data with the data input by the total budget input unit;
step five: the comparison result is sent to the external terminal through the IOT unit after being processed by the MCU unit, and a manager timely processes the comparison result after checking the comparison result through the terminal.
4. The artificial intelligence based internet financial report management system of claim 1 further comprising: the data backup module comprises a data backup unit, a data compression unit and a partition unit, wherein the data compression unit compresses data, the data backup unit stores the compressed data, and the partition unit partitions the data stored in the data backup unit into an area a, an area b and an area c.
5. The artificial intelligence based internet financial report management system of claim 1 further comprising: the calculation module calculates the stored financial data through a processor command, specifically, the data is analyzed by using a logistic regression algorithm, and the logistic regression function is defined as:
wherein the independent variable z is financial data, the range g (z) is [0,1], and the logistic regression algorithm comprises the following steps:
s1: training by using the existing financial data, and calculating a regression coefficient with the best classification effect;
s2: calculating a group of regression coefficients obtained by training input new data, and judging the category corresponding to the new data;
s3: the model was tested for overall variability and significance of the regression coefficients.
6. The artificial intelligence based internet financial report management system of claim 1 further comprising: the report generation module comprises a report template storage unit, a report program package and a reading and writing unit, the report program package drives the report template storage unit to work to generate the uploaded data into a proper report, and a user modifies, deletes and copies the report through the reading and writing module.
7. The artificial intelligence based internet financial reporting management system of claim 2 wherein: the comparison unit comprises a text storage package, an editing program package and an RTC clock, wherein the text storage package stores a fixed text format, the editing program package edits exceeding information into a text when the budget is exceeded, and the RTC clock attaches the current network time when sending the information.
8. The artificial intelligence based internet financial report management system of claim 1 further comprising: the financial report management system based on the artificial intelligence internet comprises the following specific processing steps:
s1: financial staff use the man-machine interaction module to input the financial data to be uploaded into the data entry module;
s2: the data recording module receives the data and then the data storage module and the data backup module perform double storage;
s3: the calculation module calculates the stored financial data through a processor command;
s4: and the report generation module generates a financial report template, and the calculation module transmits the calculated financial data into a report to finish the uploading work of the financial report.
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