CN114580948B - Water service annual budget analysis system - Google Patents
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Abstract
The invention discloses a water service annual budget analysis system, which comprises a data acquisition module, a cloud storage module, a revenue calculation and cost calculation module and a budget audit module; the data acquisition module is used for being connected with a management system of a preset type of business department to acquire management data of the business department; the cloud storage module is used for storing management data, a budget calculation model and managing the management data by a manager; the income calculating and cost calculating module is used for calculating the annual budget of the water service of a preset type based on the management data and the budget calculating model; the budget auditing module is used for displaying the annual budget of the water affairs. The invention enables the auditor to directly check the original data of the corresponding service department during budget audit, thereby not only facilitating the budget audit, but also effectively improving the accuracy of the budget audit result.
Description
Technical Field
The invention relates to the field of budget analysis, in particular to a water service annual budget analysis system.
Background
The traditional water service budget generally adopts an Excel table format, adopts a general template and manually fills in the water service budget step by step. The total budget is generally formed by multi-layer declaration and multi-layer combination, the data at the bottommost layer is generally difficult to trace, and the budget audit is difficult due to the lack of reference data.
Disclosure of Invention
The invention aims to disclose a water service annual budget analysis system, which solves the problem of difficulty in auditing caused by acquiring water service budget in a step-by-step reporting mode in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a water service annual budget analysis system comprises a data acquisition module, a cloud storage module, a revenue calculation and cost calculation module and a budget audit module;
the data acquisition module is used for being connected with a management system of a preset type of business department to acquire management data of the business department;
the cloud storage module is used for storing management data, a budget calculation model and managing the management data by a manager;
the income calculating and cost calculating module is used for calculating the annual budget of the water service of a preset type based on the management data and the budget calculating model;
the budget auditing module is used for displaying the annual budget of the water affairs.
Preferably, the preset types of business departments comprise a financial department, a production department, an operation department and a human resource department.
Preferably, the cloud storage module comprises a storage submodule and a management submodule;
the storage submodule is used for storing the management data and the budget calculation model;
and the management submodule is used for managing the management data by a manager.
Preferably, the managing the management data includes modifying the management data, exporting the management data, and querying the management data.
Preferably, the management submodule comprises an identity recognition unit and a management unit;
the identity recognition unit is used for carrying out identity recognition on the manager and judging whether the manager has corresponding management authority;
the management unit is used for modifying the management data, exporting the management data and inquiring the management data by a manager with corresponding management authority.
Preferably, the identity identifying subunit comprises an image acquiring subunit, an image identifying subunit and a storage subunit;
the image acquisition subunit is used for acquiring a face image of a manager;
the storage subunit is used for storing the face images of all the persons with corresponding management authority;
the image identification subunit is used for judging whether the face image with the similarity between the face image and the face image acquired by the image acquisition subunit is greater than a preset similarity threshold exists in the storage subunit;
if yes, the management personnel is indicated to have corresponding management authority;
if not, the administrator does not have corresponding management authority.
Preferably, the annual water service budget of the preset type comprises a main business income budget, a cost budget and a profit budget.
Preferably, the budget calculation model includes an income budget calculation model, a cost budget calculation model, and a profit budget calculation model.
Preferably, the budget auditing module includes a display screen of the computing terminal.
Preferably, the computing terminal comprises a smart phone, a tablet computer, a notebook computer and a desktop computer.
The management data of the business department are directly acquired by the data acquisition module, then the management data are stored in the cloud storage module for storage, and then the annual budget is calculated based on the management data. By the adoption of the setting mode, the problem of difficulty in auditing caused by the fact that the water service budget is acquired in a step-by-step reporting mode can be solved. The invention can directly check the original data of the corresponding business department when the auditor performs budget audit, thereby not only facilitating the budget audit, but also effectively improving the accuracy of the budget audit result.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a diagram of an exemplary embodiment of an annual budget analysis system for water services according to the present invention.
Fig. 2 is a diagram of an exemplary embodiment of a cloud storage module according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention and are not to be construed as limiting the present invention.
In one embodiment, as shown in fig. 1, the present invention provides a water service annual budget analysis system, comprising: the system comprises a data acquisition module, a cloud storage module, a revenue calculation and cost calculation module and a budget auditing module;
the data acquisition module is used for being connected with a management system of a preset type of business department to acquire management data of the business department;
the cloud storage module is used for storing management data, a budget calculation model and managing the management data by a manager;
the income calculating and cost calculating module is used for calculating the annual budget of the water service of a preset type based on the management data and the budget calculating model;
the budget auditing module is used for displaying the annual budget of the water affairs.
The management data of the business department are directly acquired by the data acquisition module, then the management data are stored in the cloud storage module for storage, and then the annual budget is calculated based on the management data. By the adoption of the setting mode, the problem of difficulty in auditing caused by the fact that the water service budget is acquired in a step-by-step reporting mode can be solved. When the budget is audited, auditors can directly check the original data of corresponding business departments, so that the budget audit is more convenient, and the accuracy of budget audit results can be effectively improved.
Specifically, the management data includes, in addition to the management data of the current year, management data of the past budget calculation period.
The management personnel comprise management personnel in financial departments, production departments, manpower departments and the like.
Taking the management data of water utilities as an example, the management data of the past year comprises the historical data of the operation indexes such as the historical data of various water sales, water consumption, electricity consumption and the like.
The management data of the year comprises actual completion data of the year of various water sales, actual completion data of the year of indexes such as water consumption, electricity consumption and the like, actual unit price data of half year such as actual unit price of water sales, water fee, electricity fee, medicine fee and the like of various water consumptions, and the like.
Preferably, the calculating of the annual budget of the water service of the preset type based on the management data and the budget calculation model includes:
respectively predicting the operation index of the next year and the water consumption of the next year based on the management data;
and inputting the predicted operation index of the next year and the water consumption of the next year into a budget calculation model to calculate the preset type water service annual budget.
Specifically, the operation index of the next year includes: water selling amount and water fee income data, water supply and sewage treatment amount data, water consumption, electricity consumption, medicine consumption and other operation management index data, income, cost and other financial index data.
Preferably, the operation index of the next year is predicted by:
recording the current year as y-1 year;
calculating the average growth rate al of the annual operational index T in the last n years by the following formula:
wherein y represents year;
calculating the value T of the annual operation index Tyth year by the following formula y ：
T y ＝T y-1 ×al。
As a preference, the first and second liquid crystal compositions are,
predicting the operation index of the next year by the following method:
recording the current year as y-1 year;
the average growth rate bl of the last n years of the q-th type of water consumption is calculated by the following formula q ：
Wherein y represents year;
the value Q of the water use amount of the Q-th type in the y year is calculated by the following formula q,y ：
Q q,y ＝Q q,y-1 ×bl q 。
Preferably, the preset types of business departments include a financial department, a production department, an operation department and a human resource department.
Preferably, as shown in fig. 2, the cloud storage module includes a storage submodule and a management submodule;
the storage submodule is used for storing the management data and the budget calculation model;
and the management submodule is used for managing the management data by a manager.
Preferably, the managing the management data includes modifying the management data, exporting the management data, and querying the management data.
Preferably, the management submodule comprises an identity recognition unit and a management unit;
the identity recognition unit is used for carrying out identity recognition on the manager and judging whether the manager has corresponding management authority;
the management unit is used for modifying the management data, exporting the management data and inquiring the management data by a manager with corresponding management authority.
By arranging the identity recognition unit, the protection of the management data can be enhanced, and the management data is prevented from being maliciously modified.
Preferably, the identity identifying subunit comprises an image acquiring subunit, an image identifying subunit and a storage subunit;
the image acquisition subunit is used for acquiring a face image of a manager;
the storage subunit is used for storing the face images of all the persons with corresponding management authority;
the image identification subunit is used for judging whether the face image with the similarity between the face image and the face image acquired by the image acquisition subunit is greater than a preset similarity threshold exists in the storage subunit;
if yes, the management personnel is indicated to have corresponding management authority;
if not, the administrator does not have corresponding management authority.
Preferably, the acquiring of the face image of the manager includes:
s1, acquiring a face image of a manager;
and S2, judging whether the face image of the manager meets a preset judgment condition, if so, transmitting the face image of the manager to an identity recognition unit, and if not, entering S1.
In the embodiment, the face image is firstly screened by adopting the judgment condition at the image acquisition end, so that the quality of the finally obtained face image can be effectively improved, meanwhile, the unsatisfactory face image can be prevented from entering the image identification subunit, the accuracy of face identification is improved, and meanwhile, the time required by face identification can be effectively shortened.
Preferably, the judging whether the face image of the administrator meets a preset judgment condition includes:
calculating the judgment parameters of the face image by the following formula:
wherein, coridx represents a judgment parameter, alpha, beta and delta represent preset weight coefficients, numfcnd represents the number of pixel points in the face image which accord with a skin color detection model, ttnum represents the total number of the pixel points in the face image, G (k) represents a flatness coefficient of the kth pixel point,
and comparing the judgment parameter coridx with the judgment parameter comparison value coridxthre, if the coridx is more than or equal to the coridxthre, indicating that the face image of the manager meets the preset judgment condition, and if the coridx is less than the coridxthre, indicating that the face image of the manager does not meet the preset judgment condition.
When the judgment parameters are calculated, the number of pixel points which accord with a skin color detection model, the flatness coefficient and the number of connected domains which meet requirements are considered, the larger the value of numfcnd is, the larger the proportion of skin pixel points in the face image is, the larger the value of G (k) is, the higher the definition of the image is, the larger the value of fhL is, the better the continuity of the image is, and therefore, the quality of the finally obtained face image can be effectively improved by selecting from the aspects. When the definition factor is considered, the method is directly considered from the aspect of gradient, and the influence of noise can be effectively reduced.
Preferably, the judging whether there is a face image in the storage subunit whose similarity with the face image acquired by the image acquiring subunit is greater than a preset similarity threshold includes:
respectively acquiring a face image acquired by the image acquisition subunit and first image characteristic data and second image characteristic data of the face image stored by the storage subunit by adopting a preset image processing algorithm;
calculating the similarity between the first image characteristic data and the second image characteristic data;
if the similarity is greater than the similarity threshold, the face image with the similarity greater than a preset similarity threshold with the face image acquired by the image acquisition subunit exists in the storage subunit;
otherwise, it means that there is no face image in the storage subunit whose similarity with the face image acquired by the image acquisition subunit is greater than a preset similarity threshold.
Preferably, the acquiring the first image characteristic data of the face image acquired by the image acquiring subunit by using a preset image processing algorithm includes:
carrying out gray processing on the face image to obtain a gray image;
carrying out optimization processing on the gray level image to obtain an optimized image;
carrying out image segmentation processing on the optimized image to obtain a foreground image;
a first image feature contained in the foreground image is obtained using an image feature extraction algorithm.
Preferably, the optimizing the grayscale image to obtain an optimized image includes:
performing wavelet decomposition on the gray level image to obtain a high-frequency wavelet coefficient and a low-frequency wavelet coefficient;
optimizing the high-frequency wavelet coefficient by using the following formula to obtain the optimized high-frequency wavelet coefficient:
wherein gsh (t) and dgsh (t) respectively represent the tth high-frequency wavelet coefficient before optimization and the tth high-frequency wavelet coefficient after optimization, t belongs to [1,3], phi represents a preset adjusting coefficient, magsh represents the maximum value of 3 high-frequency wavelet coefficients, zs represents an optimization degree coefficient, zs belongs to [19,41], xs represents a shape control coefficient, xs is larger than 1,
and performing wavelet inverse reconstruction on the low-frequency wavelet coefficient and the optimized high-frequency wavelet coefficient to obtain an optimized image.
Specifically, wavelet decomposition is carried out in the optimization process, and then the high-frequency wavelet coefficient is optimized, so that the noise content in the optimized image can be effectively reduced. In the optimization process, comprehensive control is performed on the aspects of shape and optimization degree, and the accuracy of the optimization result is effectively improved. And the optimized image obtained after optimization is more suitable for image segmentation processing.
Preferably, the annual water service budget of the preset type comprises a main business income budget, a cost budget and a profit budget.
Preferably, the budget calculation model includes an income budget calculation model, a cost budget calculation model, and a profit budget calculation model.
Preferably, the budget auditing module includes a display screen of the computing terminal.
Preferably, the computing terminal comprises a smart phone, a tablet computer, a notebook computer and a desktop computer.
The invention realizes the comprehensive budget management, and gets through all management links such as I earning, operation, finance, manpower and the like; the association between indexes and data among all door systems forms real comprehensive budget management; the initial data and the merged previous data can be traced through the introduction and analysis of mass historical big data;
in the auditing stage, through the checking relationship between the operation indexes and the financial data, one index modifies all relevant data, the simulation of budget indexes can be carried out, parameters can be directly modified by auditing, and the draft can be finalized without recalculation.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
It should be noted that, functional units/modules in the embodiments of the present invention may be integrated into one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules are integrated into one unit/module. The integrated units/modules may be implemented in the form of hardware, or may be implemented in the form of software functional units/modules.
From the above description of embodiments, it is clear for a person skilled in the art that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code or any appropriate combination thereof. For a hardware implementation, a processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of the embodiments may be accomplished by a computer program instructing the associated hardware.
In practice, the program may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. Computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Claims (6)
1. A water service annual budget analysis system is characterized by comprising a data acquisition module, a cloud storage module, a revenue calculation and cost calculation module and a budget audit module;
the data acquisition module is used for being connected with a management system of a preset type of business department to acquire management data of the business department;
the cloud storage module is used for storing management data, a budget calculation model and managing the management data by a manager;
the income calculating and cost calculating module is used for calculating the annual budget of the water service of a preset type based on the management data and the budget calculating model;
the budget auditing module is used for displaying the annual budget of the water affairs;
the cloud storage module comprises a storage submodule and a management submodule;
the storage submodule is used for storing the management data and the budget calculation model;
the management submodule is used for managing the management data by a manager;
the management of the management data comprises modifying the management data, exporting the management data and inquiring the management data;
the management submodule comprises an identity recognition unit and a management unit;
the identity recognition unit is used for carrying out identity recognition on the manager and judging whether the manager has corresponding management authority;
the management unit is used for modifying the management data, exporting the management data and inquiring the management data by a manager with corresponding management authority;
the identity identification subunit comprises an image acquisition subunit, an image identification subunit and a storage subunit;
the image acquisition subunit is used for acquiring a face image of a manager;
the storage subunit is used for storing the face images of all persons with corresponding management authority;
the image identification subunit is used for judging whether the face image with the similarity between the face image and the face image acquired by the image acquisition subunit is greater than a preset similarity threshold exists in the storage subunit;
if yes, the management personnel is indicated to have corresponding management authority;
if not, the administrator does not have corresponding management authority;
the acquiring of the face image of the manager includes:
s1, acquiring a face image of a manager;
s2, judging whether the face image of the manager meets a preset judgment condition, if so, transmitting the face image of the manager to an identity recognition unit, and if not, entering S1;
the judging whether the face image of the manager meets the preset judging condition includes:
calculating the judgment parameters of the face image by the following formula:
wherein, coridx represents a judgment parameter, alpha, beta and delta represent preset weight coefficients, numfcnd represents the number of pixel points in the face image which accord with a skin color detection model, ttnum represents the total number of the pixel points in the face image, G (k) represents a flatness coefficient of the kth pixel point,
and comparing the judgment parameter coridx with the judgment parameter comparison value coridxthre, if the coridx is more than or equal to the coridxthre, indicating that the face image of the manager meets the preset judgment condition, and if the coridx is less than the coridxthre, indicating that the face image of the manager does not meet the preset judgment condition.
2. The system according to claim 1, wherein the predetermined types of business departments include a financial department, a production department, an operation department, and a human resource department.
3. The system according to claim 1, wherein the predetermined types of annual water budget include a main business revenue budget, a cost budget and a profit budget.
4. The annual water budget analysis system of claim 3, wherein the budget calculation models include an income budget calculation model, a cost budget calculation model and a profit budget calculation model.
5. The system according to claim 1, wherein the budget audit module comprises a display screen of the computing terminal.
6. The system according to claim 5, wherein the computing terminal comprises a smart phone, a tablet computer, a notebook computer and a desktop computer.
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