CN110766307A - Intelligent power grid real-time fund monitoring method, device, equipment and medium - Google Patents

Intelligent power grid real-time fund monitoring method, device, equipment and medium Download PDF

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Publication number
CN110766307A
CN110766307A CN201910986387.5A CN201910986387A CN110766307A CN 110766307 A CN110766307 A CN 110766307A CN 201910986387 A CN201910986387 A CN 201910986387A CN 110766307 A CN110766307 A CN 110766307A
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China
Prior art keywords
fund
information
distribution
plan
fund distribution
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CN201910986387.5A
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Inventor
赵东升
汪飞跃
蔡捷飞
李成鸿
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Southern Power Grid Digital Grid Research Institute Co Ltd
CSG Finance Co Ltd
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Southern Power Grid Digital Grid Research Institute Co Ltd
CSG Finance Co Ltd
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Priority to CN201910986387.5A priority Critical patent/CN110766307A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The application relates to an intelligent power grid real-time fund monitoring method, an intelligent power grid real-time fund monitoring device, computer equipment and a storage medium. The method comprises the following steps: obtaining fund distribution historical data from each business system; analyzing the fund distribution historical data to obtain a fund distribution index; acquiring fund distribution plan information and fund distribution actual information of the current period; analyzing the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information; and predicting the fund distribution plan in the next period according to the fund distribution plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result. By adopting the method, the fund distribution plan of the next period can be filled based on the forecast fund distribution plan of the next period, the accuracy of the filled fund distribution plan is improved, the value of the fund account is accurately adjusted, and the efficiency of fund operation management is improved.

Description

Intelligent power grid real-time fund monitoring method, device, equipment and medium
Technical Field
The application relates to the technical field of computer information processing, in particular to an intelligent power grid real-time fund monitoring method and device, computer equipment and a storage medium.
Background
With the expansion of each business, each enterprise has trillions of capital involved each year, and companies can involve a large amount of capital management, so that the capital management is reasonable, and the basic targets of the financial related departments for the capital management are achieved. Most of the current fund operation management depends on manual management and fund plan management.
With the increase of service expansion and fund operation complexity, the current fund management mode has serious problems, such as: with the expansion of fund business, the fund size is larger and larger, the transaction amount is also increased rapidly, particularly in the peak period of fund transaction at the end of the month or the end of the year, when a plurality of people operate one fund account simultaneously, the account fund shortage often occurs.
Therefore, the current capital operation management is inefficient.
Disclosure of Invention
In view of the foregoing, there is a need to provide an intelligent power grid real-time fund monitoring method, device, computer device and storage medium capable of improving fund operation management efficiency.
An intelligent power grid real-time fund monitoring method, the method comprising:
obtaining fund distribution historical data from each business system;
analyzing the fund distribution historical data to obtain a fund distribution index;
acquiring fund distribution plan information and fund distribution actual information of the current period;
analyzing the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information;
and predicting the fund distribution plan in the next period according to the fund distribution plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result.
In one embodiment, the method further comprises:
acquiring the value of a fund account in real time;
analyzing the fund distribution plan information of the current period and the value of the fund account to determine fund adjustment information;
and adjusting the value of the fund account according to the fund adjustment information.
In one embodiment, the method further comprises:
obtaining the difference value between the value of the fund account and the value in the fund allocation plan information of the current period;
when the difference value is smaller than or equal to a preset value, acquiring the information of a manager corresponding to the fund account;
and sending a reminding message to the manager according to the information.
In one embodiment, the step of analyzing the fund distribution history data to obtain a fund distribution index includes:
performing data modeling according to the fund distribution historical data to obtain a data model;
and performing index analysis according to the business data processing logics and the data models to obtain fund distribution indexes.
In one embodiment, the method further comprises:
when a fund flow checking request which is sent by a terminal and carries checking range information is received, acquiring corresponding fund distribution historical data according to the checking range information;
carrying out fund flow analysis on the fund distribution historical data to obtain fund flow data;
and generating a fund flow chart according to the fund flow data, and sending the fund flow chart to the terminal.
In one embodiment, the method further comprises:
when a fund data display instruction is triggered, acquiring the fund distribution index, fund information of a fund account, fund transfer-out information, fund plan execution deviation information and fund flow data;
and sending the fund distribution index, the fund information of the fund account, the fund transfer-out information, the fund plan execution deviation information and the fund flow data to a corresponding display terminal for displaying.
In one embodiment, after the step of performing a fund distribution plan prediction for the next period on the fund distribution plan execution deviation information and the fund distribution index and obtaining a fund distribution plan prediction result, the method further includes:
acquiring historical service information and predicted service information of the next period;
analyzing according to the historical service information and the predicted service information of the next period to obtain service comparison data;
adjusting the fund distribution plan prediction result according to the business comparison data to obtain an updated fund distribution plan prediction result;
and submitting the fund distribution plan of the next period according to the updated fund distribution plan prediction result.
An intelligent, grid real-time fund monitoring device, the device comprising:
the historical data acquisition module is used for acquiring fund distribution historical data from each business system;
the fund distribution index obtaining module is used for analyzing the fund distribution historical data to obtain a fund distribution index;
the information acquisition module is used for acquiring fund distribution plan information and fund distribution actual information of the current period;
the execution deviation obtaining module is used for analyzing the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information;
and the prediction module is used for predicting the fund distribution plan in the next period according to the fund plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method.
According to the intelligent power grid real-time fund monitoring method, the intelligent power grid real-time fund monitoring device, the computer equipment and the storage medium, each fund distribution index is analyzed according to the fund distribution historical data of each service system, the fund plan execution deviation information is analyzed according to the fund distribution plan information and the fund distribution actual information of the current period, and the fund distribution plan of the next period is predicted according to the fund plan execution deviation information and the fund distribution index. The fund distribution plan of the next period can be filled based on the forecast fund distribution plan of the next period, the accuracy of the filled fund distribution plan can be improved, the numerical value of the fund account can be accurately adjusted, the problems of insufficient numerical value of the fund account or excessive numerical value of the fund account are avoided, and the efficiency of fund operation management is improved.
Drawings
FIG. 1 is a diagram illustrating an exemplary implementation of an intelligent real-time grid fund monitoring method;
FIG. 2 is a schematic flow chart of an intelligent real-time grid fund monitoring method in one embodiment;
FIG. 3 is a schematic flow chart of an intelligent real-time grid fund monitoring method in another embodiment;
FIG. 4 is a block diagram of an embodiment of an intelligent real-time grid fund monitoring device;
FIG. 5 is a block diagram of an intelligent real-time power grid fund monitoring device in another embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The intelligent power grid real-time fund monitoring method can be applied to the application environment shown in fig. 1. Wherein the terminal 102 communicates with the server 104 via a network. Wherein, the server 104 acquires fund distribution historical data from each business system; analyzing the fund distribution historical data to obtain a fund distribution index; acquiring fund distribution plan information and fund distribution actual information of the current period; analyzing the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information; and predicting the fund distribution plan in the next period according to the fund distribution plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result. Or the terminal 102 and the server 104 interact to realize an intelligent power grid real-time fund monitoring method, and the server 104 acquires fund distribution historical data from each service system; analyzing the fund distribution historical data to obtain a fund distribution index; the server 104 acquires the fund distribution plan information and the fund distribution actual information of the current period from the terminal 102; the server 104 analyzes the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information; and predicting the fund distribution plan in the next period according to the fund distribution plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result. The terminal 102 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, an intelligent real-time capital monitoring method for a power grid is provided, which is illustrated by taking the method as an example applied to the server in fig. 1, and includes the following steps:
step S220, obtaining fund distribution historical data from each business system.
The fund distribution historical data refers to data information generated in the past fund distribution process, and taking the fund of an enterprise as an example, the fund distribution historical data comprises the following data: historical fund plan information, historical fund collection records, historical fund payment records, historical loan records, historical ticket transaction information, and the like. The business system is a business system for generating fund distribution historical data, and by taking the fund of an enterprise as an example, historical fund plan information can be acquired from a settlement business system, historical fund collection records and historical fund payment records can be acquired from an online banking business system, historical loan records can be acquired from a credit business system, and historical bill transaction information can be acquired from a bill business system. The fund distribution historical data can be obtained by a data extraction tool such as an ETL (ETL is an ETL tool, and is a process of loading data of business systems to a data warehouse after extraction, cleaning and conversion), a key (key is an open-source ETL tool), and each business system. Or acquiring fund distribution historical data from each business system by calling a data acquisition interface.
Step S240, analyzing the fund distribution historical data to obtain a fund distribution index.
The fund distribution index is an index which needs to be referred in the process of carrying out fund distribution, such as: some common statistical indicators, such as the pay-by-pass rate, the flowability ratio, etc. Taking the fund of an enterprise as an example, the reserve payment rate is the inch head/absorption deposit of a bank account, the inch head of the bank account refers to the balance of the bank account, and the absorption deposit is the total asset of the enterprise; the liquidity ratio is liquidity aggregate/liquidity liability aggregate. The data model can be established through the fund distribution historical data, the fund distribution index is generated according to the business logic and the data model, and when the fund distribution index needs to be used, the corresponding fund distribution index can be directly inquired without repeated calculation and processing.
Step S260, the fund distribution plan information and the fund distribution actual information of the current period are acquired.
Wherein the fund distribution plan information refers to how funds are expected to be distributed during the current period. The actual fund distribution information refers to the actual fund distribution condition in the current period. Taking the fund of the enterprise as an example, the fund distribution plan information comprises the current period plan collection amount, the current period plan payment amount, the current period plan loan amount and the like, and the fund distribution actual information comprises the current period actual collection amount, the current period actual payment amount, the current period actual loan amount and the like.
Specifically, the manner of obtaining the fund distribution plan information of the current period may also be: according to a layer-by-layer summarizing mode of a current 'division-headquarter' of an enterprise or a layered grading mode of a 'lower-level unit-upper-level unit-financial division-headquarter', the capital plans of three-level units and the lower-level units are summarized by the second-level member units, and the capital plans of all-level member units are filled according to the past capital conditions, and the like; and summarizing all the fund plans to obtain fund distribution plan information. The fill period for the fund plan may be a day, week, or month. Taking a day as a period, the capital plan can be planned to be filled in by each unit every morning every day, and after filling in of each unit is completed, the capital distribution plan information is obtained in a gathering manner; taking a week as a period, filling the fund plan by each unit every Monday of every week, and summarizing to obtain fund distribution plan information after filling of each unit is completed; and taking the week as a month period, filling the fund plan by each unit at the beginning of each month, and summarizing to obtain the fund distribution plan information after filling of each unit is completed.
Specifically, the manner of obtaining the actual fund allocation information of the current period may also be: the actual fund distribution information of the current period may be obtained by acquiring the historical fund distribution data generated in the current period from each business system and analyzing the historical fund distribution data generated in the current period, or may be obtained by analyzing the historical fund distribution data acquired in step S220.
Step S280, the fund distribution plan information and the fund distribution actual information are analyzed to obtain fund plan execution deviation information.
The fund plan execution deviation information is difference data between the fund distribution plan information and the fund distribution actual information, such as: the plan in the fund distribution plan information of the current period is that the payment amount is 1 ten thousand, finally the payment amount in the fund distribution actual information of the current period is 2 ten thousand, and the fund plan execution deviation information can be expressed as a difference value between the fund distribution plan information and the fund distribution actual information or a ratio of the fund distribution plan information and the fund distribution actual information, is used for reflecting the difference between the fund distribution plan information and the fund distribution actual information, can provide a basis for providing a plan next time, and reduces the difference as much as possible.
And step S300, predicting the fund distribution plan of the next period according to the fund distribution plan execution deviation information and the fund distribution index, and obtaining a fund distribution plan prediction result.
The fund distribution plan prediction result is a fund distribution plan of the next period predicted according to fund distribution plan execution deviation information determined by the fund distribution plan information of the current period and the fund distribution actual information, and the fund distribution index. The optimal fund distribution plan can be calculated by utilizing a linear programming method of the metrological economics based on the fund distribution plan execution deviation information and the fund distribution indexes, and the calculated optimal fund distribution plan is used as a fund distribution plan prediction result.
In the intelligent power grid real-time fund monitoring method, each fund distribution index is analyzed according to the obtained fund distribution historical data of each service system, the fund distribution plan information and the fund distribution actual information of the current period are obtained, the fund plan execution deviation information is analyzed, and the fund distribution plan of the next period is predicted according to the fund plan execution deviation information and the fund distribution index. The fund distribution plan of the next period can be filled based on the forecast fund distribution plan of the next period, the accuracy of the filled fund distribution plan can be improved, the numerical value of the fund account can be accurately adjusted, the problems of insufficient numerical value of the fund account or excessive numerical value of the fund account are avoided, and the efficiency of fund operation management is improved.
In one embodiment, the intelligent power grid real-time fund monitoring method further comprises the following steps:
acquiring the value of a fund account in real time; analyzing the fund distribution plan information and the value of the fund account in the current period to determine fund adjustment information; and adjusting the value of the fund account according to the fund adjustment information.
The value of the fund account can be the account balance of the enterprise in each bank, and the account balance of the enterprise in each bank can be monitored in real time. The fund adjustment information refers to the amount of money required to adjust the account balance of each bank. And adjusting the value of the fund account according to the fund adjustment information, wherein the adjustment can be realized by calling an intelligent contract. Specifically, according to the fund distribution plan information of the current period, for example, 1 ten thousand yuan needs to be deducted from the account b of the bank a in the fund distribution plan information of the current period, if the balance of the account b of the bank a needs to be at least 1 ten thousand yuan before deducting, the balance of the account b of the bank a can be obtained, whether the balance is 1 ten thousand yuan is judged, and if only 9000 yuan exists, at least 1000 yuan is required to be transferred to the account b of the bank a from the accounts of other banks or other accounts of the bank a, so that the balance of the account b of the bank a is at least 1 ten thousand yuan. The value of the fund account is obtained in real time, and the balance of the account can be adjusted in time so as to smoothly complete payment.
In one embodiment, the intelligent power grid real-time fund monitoring method further comprises the following steps:
obtaining the difference value between the value of the fund account and the value in the fund allocation plan information of the current period; when the difference value is smaller than or equal to a preset value, acquiring the information of a manager corresponding to the fund account; and sending a reminding message to the manager according to the information.
The manner of obtaining the difference between the value of the fund account and the value in the fund allocation plan information of the current period may specifically be: the value of the fund account is subtracted by the value of the value in the fund allocation plan information for the current period. The preset value may be 0 or a value greater than 0, and when the difference is smaller than or equal to the preset value, for example: when the numerical value in the fund distribution plan information of the current period is equal to the numerical value of the fund account, acquiring the information of a manager corresponding to the fund account; and sending a reminding message to the manager according to the information. The method can remind the manager to manually adjust the value of the fund account in time, and can also remind the server to automatically call an intelligent contract to adjust the value of the fund account after the reminding message is sent.
In one embodiment, the step of analyzing the historical data of the fund distribution to obtain the fund distribution index comprises the following steps: performing data modeling according to the fund distribution historical data to obtain a data model; and performing index analysis according to the business data processing logics and the data models to obtain fund distribution indexes.
Data modeling is a process of information systems that defines and analyzes the requirements of data and the corresponding support it needs. The data model is an abstraction of data characteristics, describes static characteristics, dynamic behaviors and constraint conditions of the system from an abstraction level, and provides an abstract framework for information representation and operation of the database system. Service data processing logic refers to logic that processes service data, such as: if the reserve rate needs to be obtained, the head of the bank account and the absorption deposit need to be obtained, and the reserve rate is obtained through the head of the bank account/the absorption deposit. Through the established data modeling, the data modeling can be obtained for analysis according to the needs of each business, and the reference can be made to the staff based on the obtained fund allocation index.
In one embodiment, the intelligent power grid real-time fund monitoring method further comprises the following steps:
when a fund flow checking request which is sent by a terminal and carries checking range information is received, acquiring corresponding fund distribution historical data according to the checking range information; carrying out fund flow analysis on the fund distribution historical data to obtain fund flow data; a fund flow graph is generated according to the fund flow data, and the fund flow graph is sent to the terminal.
The fund flow checking request refers to a request sent to a server through a terminal when a user needs to check the fund flow condition in a certain time, and the fund flow condition in the certain time can be limited to be checked when the request is sent. After receiving the fund flow checking request, the server acquires corresponding fund distribution historical data based on the checking range information; carrying out fund flow analysis on the fund distribution historical data to obtain fund flow data; a fund flow graph is generated according to the fund flow data, and the fund flow graph is sent to the terminal. The user can conveniently and visually check the wanted information.
In one embodiment, the intelligent power grid real-time fund monitoring method further comprises the following steps:
when a capital data display instruction is triggered, acquiring a capital distribution index, capital information of a capital account, capital transfer-out information, capital plan execution deviation information and capital movement data; and sending the fund distribution index, the fund information of the fund account, the fund transfer-out information, the fund plan execution deviation information and the fund flow data to a corresponding display terminal for displaying.
The fund distribution index is the fund distribution index analyzed according to the fund distribution historical data, and when the real-time fund distribution index is analyzed according to the fund distribution historical data in real time, the displayed fund distribution index can be updated in real time. The fund information of the fund account comprises information of each fund account and the value of the corresponding fund account. The fund transfer-out information refers to the amount of the transferred-out fund, the transfer-out account information and the receiver information. The fund plan execution bias information is fund plan execution bias information for the current cycle. Capital movement data capital movement analysis is performed on the historical capital allocation data to obtain capital movement data. The fund distribution index, the fund information of the fund account, the fund transfer-out information, the fund plan execution deviation information and the fund flow data can be updated in real time or periodically. And through displaying of the fund data, the visualized visual data display function is realized, and the fund condition is mastered in time.
In one embodiment, after the step of performing a fund distribution plan prediction for the next period on the fund distribution plan execution deviation information and the fund distribution index and obtaining a fund distribution plan prediction result, the method further comprises the following steps:
acquiring historical service information and predicted service information of the next period; analyzing according to the historical service information and the predicted service information of the next period to obtain service comparison data; adjusting the fund distribution plan prediction result according to the business comparison data to obtain an updated fund distribution plan prediction result; and submitting the fund distribution plan of the next period according to the updated fund distribution plan prediction result.
The historical service information is data of each past service, such as: the history requires the services handled and the funds actually required. The expected traffic information of the next cycle is the traffic expected to be handled in the next cycle. The business comparison data is used for determining the fund required by the business which is expected to be handled in the next period according to the business which needs to be handled historically and the fund actually required, and adjusting the fund distribution plan prediction result by combining the fund required by the business which is expected to be handled in the next period to obtain the updated fund distribution plan prediction result; and submitting the fund distribution plan of the next period according to the updated fund distribution plan prediction result. The accuracy of the filled fund distribution plan can be improved, and the value of the fund account can be accurately adjusted.
In an embodiment, as shown in fig. 3, an intelligent power grid real-time fund monitoring method is exemplified by taking fund management performed by a specific business scenario financial department as an example, and the specific implementation manner is as follows:
a hierarchical grading mode based on 'lower-level unit-upper-level unit-financial company division-headquarter'; taking a day as a period, filling the fund plan in each unit every morning every day, and collecting the fund plans filled by each unit through a terminal by a server to obtain a total fund plan (namely fund distribution plan information); dynamically and visually monitoring the position of the bank fund in real time, and automatically acquiring the latest position information of the bank (namely the information of the fund account and the value of the fund account); the financial department schedules the fund (i.e. adjusts the value of the fund account) according to the fund plan and the real-time monitoring bank position information, such as: scheduling according to the plan filled by each unit and business department and the real-time condition of capital, for example, member units plan to apply for a large payment (preferably in the same bank payment), the management department can prepare payment amount in advance, when member units initiate application, the large payment information can be monitored, whether the bank account is sufficient or not can be checked according to the real-time capital monitoring information, if not, the capital is allocated to the bank account from other accounts, so that the payment can be completed smoothly.
Acquiring fund data (namely fund distribution historical data) of an automatic acquisition settlement system, a bill system, a credit system and an online banking system through a data acquisition interface; the fund data comprises fund plans, fund receipts, payment records, loan records, bill transaction information and the like; the data of each service system is processed, a data model is built, and corresponding index information (namely fund distribution index) is generated, such as some common statistical indexes, such as spare payment rate, liquidity proportion and the like.
And performing fund plan execution deviation analysis and fund change condition analysis based on each total fund plan, actual fund usage records, index information, data models, fund data and the like to obtain fund plan execution deviation (namely the fund plan execution deviation information) and the fund change condition (namely the fund flow data). For example, each business department and unit fills in a daily fund plan, and the fund plan execution deviation is obtained according to the comparison between the actual fund use condition and the fund plan after the day is over. And inquiring the analysis range according to the selection of the user, and acquiring different data of fund change to form a fund change analysis chart display. The method can also be displayed through a chart of a large screen: bank position information, payment condition, payment rate, fund plan execution deviation analysis, fund change condition analysis and the like of each business department and unit. The fund data can be automatically predicted according to specific business logic by combining a large amount of historical data analysis, and a fund plan is guided; such as five years worth of funds, payment records, loan records, bill transaction records, daily balance of funds records, and the like. For example, dynamic management and prediction of the assets and liabilities, an optimal asset allocation scheme is obtained by using a linear programming method of the metrological economics through establishing a model according to the past capital flow condition and loan interest rate condition analysis. And a new early warning reminding mechanism can be added, the warning value of the service is set, and the risk of fund scheduling is early warned in combination with fund data monitoring.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 4, there is provided an intelligent power grid real-time fund monitoring device, comprising: a historical data acquisition module 310, a fund allocation indicator acquisition module 320, an information acquisition module 330, an execution deviation acquisition module 340, and a prediction module 350, wherein:
a historical data acquisition module 310, configured to acquire fund distribution historical data from each business system;
a fund distribution index obtaining module 320, configured to analyze the fund distribution historical data to obtain a fund distribution index;
an information obtaining module 330, configured to obtain fund distribution plan information and fund distribution actual information of the current period;
an execution deviation obtaining module 340, configured to analyze the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information;
and the prediction module 350 is configured to perform fund distribution plan prediction in the next period according to the fund plan execution deviation information and the fund distribution index, and obtain a fund distribution plan prediction result.
Referring to fig. 5, in an embodiment, the intelligent power grid real-time fund monitoring apparatus further includes a fund adjustment module 360, configured to obtain a value of a fund account in real time; analyzing the fund distribution plan information and the value of the fund account in the current period to determine fund adjustment information; and adjusting the value of the fund account according to the fund adjustment information.
In one embodiment, the intelligent power grid real-time fund monitoring device further comprises a reminding module 370, configured to obtain a difference value between the value of the fund account and the value in the fund allocation plan information of the current period; when the difference value is smaller than or equal to a preset value, acquiring the information of a manager corresponding to the fund account; and sending a reminding message to the manager according to the information.
In one embodiment, the fund allocation indicator obtaining module 320 is further configured to: performing data modeling according to the fund distribution historical data to obtain a data model; and performing index analysis according to the business data processing logics and the data models to obtain fund distribution indexes.
In one embodiment, the intelligent power grid real-time fund monitoring device further comprises a fund flow chart generation module 380, configured to obtain corresponding fund distribution historical data according to the viewing range information when a fund flow viewing request carrying the viewing range information and sent by a terminal is received; carrying out fund flow analysis on the fund distribution historical data to obtain fund flow data; a fund flow graph is generated according to the fund flow data, and the fund flow graph is sent to the terminal.
In one embodiment, the intelligent power grid real-time fund monitoring device further comprises a display module 390 for acquiring fund distribution index, fund information of fund account, fund transfer-out information, fund plan execution deviation information and fund flow data when a fund data display instruction is triggered; and sending the fund distribution index, the fund information of the fund account, the fund transfer-out information, the fund plan execution deviation information and the fund flow data to a corresponding display terminal for displaying.
In one embodiment, the intelligent power grid real-time fund monitoring device further comprises a plan adjusting module 400, configured to obtain historical business information and predicted business information of a next period; analyzing according to the historical service information and the predicted service information of the next period to obtain service comparison data; adjusting the fund distribution plan prediction result according to the business comparison data to obtain an updated fund distribution plan prediction result; and submitting the fund distribution plan of the next period according to the updated fund distribution plan prediction result.
For specific limitations of the intelligent power grid real-time fund monitoring device, reference may be made to the above limitations of the intelligent power grid real-time fund monitoring method, which is not described herein again. All or part of the modules in the intelligent power grid real-time fund monitoring device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 6. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used to store historical data relating to funds. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an intelligent method of real-time capital monitoring of a power grid.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is provided a computer device comprising a memory storing a computer program and a processor implementing the following steps when the processor executes the computer program:
obtaining fund distribution historical data from each business system; analyzing the fund distribution historical data to obtain a fund distribution index; acquiring fund distribution plan information and fund distribution actual information of the current period; analyzing the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information; and predicting the fund distribution plan in the next period according to the fund distribution plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring the value of a fund account in real time; analyzing the fund distribution plan information and the value of the fund account in the current period to determine fund adjustment information; and adjusting the value of the fund account according to the fund adjustment information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: obtaining the difference value between the value of the fund account and the value in the fund allocation plan information of the current period; when the difference value is smaller than or equal to a preset value, acquiring the information of a manager corresponding to the fund account; and sending a reminding message to the manager according to the information.
In one embodiment, the processor, when executing the computer program, further performs the steps of: performing data modeling according to the fund distribution historical data to obtain a data model; and performing index analysis according to the business data processing logics and the data models to obtain fund distribution indexes.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when a fund flow checking request which is sent by a terminal and carries checking range information is received, acquiring corresponding fund distribution historical data according to the checking range information; carrying out fund flow analysis on the fund distribution historical data to obtain fund flow data; a fund flow graph is generated according to the fund flow data, and the fund flow graph is sent to the terminal.
In one embodiment, the processor, when executing the computer program, further performs the steps of: when a capital data display instruction is triggered, acquiring a capital distribution index, capital information of a capital account, capital transfer-out information, capital plan execution deviation information and capital movement data; and sending the fund distribution index, the fund information of the fund account, the fund transfer-out information, the fund plan execution deviation information and the fund flow data to a corresponding display terminal for displaying.
In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring historical service information and predicted service information of the next period; analyzing according to the historical service information and the predicted service information of the next period to obtain service comparison data; adjusting the fund distribution plan prediction result according to the business comparison data to obtain an updated fund distribution plan prediction result; and submitting the fund distribution plan of the next period according to the updated fund distribution plan prediction result.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
obtaining fund distribution historical data from each business system; analyzing the fund distribution historical data to obtain a fund distribution index; acquiring fund distribution plan information and fund distribution actual information of the current period; analyzing the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information; and predicting the fund distribution plan in the next period according to the fund distribution plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring the value of a fund account in real time; analyzing the fund distribution plan information and the value of the fund account in the current period to determine fund adjustment information; and adjusting the value of the fund account according to the fund adjustment information.
In one embodiment, the computer program when executed by the processor further performs the steps of: obtaining the difference value between the value of the fund account and the value in the fund allocation plan information of the current period; when the difference value is smaller than or equal to a preset value, acquiring the information of a manager corresponding to the fund account; and sending a reminding message to the manager according to the information.
In one embodiment, the computer program when executed by the processor further performs the steps of: performing data modeling according to the fund distribution historical data to obtain a data model; and performing index analysis according to the business data processing logics and the data models to obtain fund distribution indexes.
In one embodiment, the computer program when executed by the processor further performs the steps of: when a fund flow checking request which is sent by a terminal and carries checking range information is received, acquiring corresponding fund distribution historical data according to the checking range information; carrying out fund flow analysis on the fund distribution historical data to obtain fund flow data; a fund flow graph is generated according to the fund flow data, and the fund flow graph is sent to the terminal.
In one embodiment, the computer program when executed by the processor further performs the steps of: when a capital data display instruction is triggered, acquiring a capital distribution index, capital information of a capital account, capital transfer-out information, capital plan execution deviation information and capital movement data; and sending the fund distribution index, the fund information of the fund account, the fund transfer-out information, the fund plan execution deviation information and the fund flow data to a corresponding display terminal for displaying.
In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring historical service information and predicted service information of the next period; analyzing according to the historical service information and the predicted service information of the next period to obtain service comparison data; adjusting the fund distribution plan prediction result according to the business comparison data to obtain an updated fund distribution plan prediction result; and submitting the fund distribution plan of the next period according to the updated fund distribution plan prediction result.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. An intelligent power grid real-time fund monitoring method, the method comprising:
obtaining fund distribution historical data from each business system;
analyzing the fund distribution historical data to obtain a fund distribution index;
acquiring fund distribution plan information and fund distribution actual information of the current period;
analyzing the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information;
and predicting the fund distribution plan in the next period according to the fund distribution plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result.
2. The method of claim 1, further comprising:
acquiring the value of a fund account in real time;
analyzing the fund distribution plan information of the current period and the value of the fund account to determine fund adjustment information;
and adjusting the value of the fund account according to the fund adjustment information.
3. The method of claim 2, further comprising:
obtaining the difference value between the value of the fund account and the value in the fund allocation plan information of the current period;
when the difference value is smaller than or equal to a preset value, acquiring the information of a manager corresponding to the fund account;
and sending a reminding message to the manager according to the information.
4. The method of claim 1, wherein the step of analyzing the allocation history data to obtain an allocation indicator comprises:
performing data modeling according to the fund distribution historical data to obtain a data model;
and performing index analysis according to the business data processing logics and the data models to obtain fund distribution indexes.
5. The method of claim 4, further comprising:
when a fund flow checking request which is sent by a terminal and carries checking range information is received, acquiring corresponding fund distribution historical data according to the checking range information;
carrying out fund flow analysis on the fund distribution historical data to obtain fund flow data;
and generating a fund flow chart according to the fund flow data, and sending the fund flow chart to the terminal.
6. The method of claim 5, further comprising:
when a fund data display instruction is triggered, acquiring the fund distribution index, fund information of a fund account, fund transfer-out information, fund plan execution deviation information and fund flow data;
and sending the fund distribution index, the fund information of the fund account, the fund transfer-out information, the fund plan execution deviation information and the fund flow data to a corresponding display terminal for displaying.
7. The method of claim 1, wherein after the step of performing a next cycle of fund distribution plan prediction on the fund plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result, the method further comprises:
acquiring historical service information and predicted service information of the next period;
analyzing according to the historical service information and the predicted service information of the next period to obtain service comparison data;
adjusting the fund distribution plan prediction result according to the business comparison data to obtain an updated fund distribution plan prediction result;
and submitting the fund distribution plan of the next period according to the updated fund distribution plan prediction result.
8. An intelligent real-time capital monitoring device for a power grid, the device comprising:
the historical data acquisition module is used for acquiring fund distribution historical data from each business system;
the fund distribution index obtaining module is used for analyzing the fund distribution historical data to obtain a fund distribution index;
the information acquisition module is used for acquiring fund distribution plan information and fund distribution actual information of the current period;
the execution deviation obtaining module is used for analyzing the fund distribution plan information and the fund distribution actual information to obtain fund plan execution deviation information;
and the prediction module is used for predicting the fund distribution plan in the next period according to the fund plan execution deviation information and the fund distribution index to obtain a fund distribution plan prediction result.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
CN201910986387.5A 2019-10-17 2019-10-17 Intelligent power grid real-time fund monitoring method, device, equipment and medium Pending CN110766307A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113409039A (en) * 2021-07-14 2021-09-17 首约科技(北京)有限公司 Capital flow management method and system for bringing up cash of network car booking driver

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113409039A (en) * 2021-07-14 2021-09-17 首约科技(北京)有限公司 Capital flow management method and system for bringing up cash of network car booking driver

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Application publication date: 20200207