Index quota control method and device, electronic equipment and medium

Abstract

The invention provides an index quota control method and device, electronic equipment and a medium, and can be applied to the technical field of artificial intelligence, the technical field of Internet of Things and the financial field. The control method realizes control of the budget index quota by utilizing index quota setting control, index quota distribution control and index quota occupation control, and specifically comprises the following steps: acquiring index quota setting information by utilizing preset index quota setting options and Internet of Things equipment; based on the index quota setting information, executing index quota setting control by using a pre-trained validity judgment model and a mathematical operation algorithm, and obtaining an index quota setting control result; based on the index quota setting control result, executing the index quota distribution control by using a distribution strategy, and obtaining an index quota distribution result; and based on the index quota allocation result and the quota occupation condition, executing the index quota occupation control by using a traversal algorithm and a comparison algorithm, and obtaining quota usage information.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things and the financial field, and more specifically to a method, device, electronic device and medium for controlling an indicator quota. Background Art

[0002] As competition in the global market intensifies and the economic environment continues to change, companies need to effectively manage and control expense budgets and equipment resources to ensure the sustainability of business activities and maintain competitiveness and profitability. However, traditional management methods are often cumbersome and time-consuming, and are prone to data or resource inconsistencies and information lags.

[0003] At present, computerized control systems have been proposed in the prior art. These systems provide real-time data analysis and submission approval functions, help enterprises formulate effective cost budgets and resource allocation plans, monitor cost expenditures and predict future cost trends, and ensure the reasonable allocation of equipment resources.

[0004] However, the current control system still has the following problems and limitations: the system design is relatively simple and lacks functionality, making it difficult to fully consider and handle large-scale or complex control needs; the current control of budget and equipment resource quotas still relies on manual review, resulting in inefficiency and delay in approval, and the inability to quickly identify trends, discover anomalies, or optimize resource utilization; at the same time, manual review is prone to problems such as negligence and fatigue, and is affected by individual subjectivity, which may lead to errors, omissions, or inconsistencies in the audit results. In addition, the types of expenses and equipment resources are diverse, and the requirements for various management granularities are different, while the existing system computing and processing capabilities are limited, resulting in additional tasks for applicants and approvers. Summary of the invention

[0005] In view of the above problems, according to the first aspect of the present invention, a method for controlling indicator quota is provided, characterized in that the control method uses indicator quota setting control, indicator quota allocation control and indicator quota occupancy control to achieve control of the indicator quota, wherein specifically includes: using preset indicator quota setting options and Internet of Things devices to obtain indicator quota setting information; based on the indicator quota setting information, using a pre-trained validity judgment model and a mathematical operation algorithm to perform the indicator quota setting control and obtain an indicator quota setting control result; based on the indicator quota setting control result and the indicator quota allocation requirement, using an allocation strategy to perform the indicator quota allocation control and obtain an indicator quota allocation result; based on the indicator quota allocation result and the quota occupancy situation, obtaining indicator quota occupancy information, using a traversal algorithm and a comparison algorithm to perform the indicator quota occupancy control and obtain quota usage information.

[0006] According to some exemplary embodiments, the obtaining of indicator quota application information specifically includes: based on preset indicator quota setting options, obtaining indicator quota application information submitted by the user, wherein the indicator quota setting options include: indicator name, indicator type, control time range, control method, warning ratio, indicator description and indicator quota; based on the Internet of Things device, obtaining the collected indicator quota setting information, which specifically includes: using the first Internet of Things device to obtain time information; using the second Internet of Things device to obtain geographic location information.

[0007] According to some exemplary embodiments, the indicator quota setting control is performed based on the indicator quota setting information, and a pre-trained validity judgment model and mathematical operation algorithm are used to obtain the indicator quota setting control result, which specifically includes: performing a first preprocessing on the indicator quota setting information, inputting the validity judgment model, and obtaining the validity result of the indicator quota setting information; if the indicator quota setting information input is valid, using the mathematical operation algorithm to determine whether the indicator quota is greater than the indicator cumulative quota, wherein the indicator cumulative quota includes the occupied indicator quota carried forward from the first time range and the newly occupied indicator quota added from the second time range; and if the indicator quota is greater than the indicator cumulative quota, performing a first approval judgment based on the indicator quota setting information to obtain the indicator quota setting control result.

[0008] According to some exemplary embodiments, the validity judgment model is constructed based on a support vector machine model.

[0009] According to some exemplary embodiments, the execution indicator quota allocation control and the acquisition of the indicator quota allocation result specifically include: based on the first allocation strategy, obtaining the first allocation quota and the first warning ratio allocated to the user by institution; and based on the first allocation quota and the first warning ratio, performing a first indicator quota allocation judgment and obtaining the institution quota allocation result.

[0010] According to some exemplary embodiments, the indicator quota occupancy information includes the indicator quota occupancy institution and / or department, the indicator quota occupancy amount and the occupancy time range, and the execution of indicator quota occupancy control to obtain quota usage information specifically includes: using the traversal algorithm to obtain the current remaining quota of the indicator quota occupancy institution and / or department; within the occupancy time range, based on the two stages of prior application and reimbursement payment, using a comparison algorithm to determine whether the current remaining quota is greater than the indicator quota occupancy amount; and if the current remaining quota is greater than the indicator quota occupancy amount, subjecting the indicator quota occupancy information to a second approval judgment to obtain the quota usage information.

[0011] According to some exemplary embodiments, the indicator quota occupancy control further specifically includes: within the first occupancy time range, based on the indicator quota occupancy information, obtaining application occupancy information that has completed the prior application but has not completed the reimbursement payment; and automatically carrying forward the application indicator quota of the application occupancy information to the second occupancy time range.

[0012] According to some exemplary embodiments, the control method further includes indicator quota statistical control, wherein the indicator quota statistical control is used to count the usage of indicator quotas and to judge risk indicators based on early warning thresholds.

[0013] According to some exemplary embodiments, the usage includes: the indicator quota statistical control, specifically including: collecting the usage of N indicator quotas, and performing a second preprocessing, wherein the usage of the indicator quota includes the quota ratio of each subordinate institution and / or department corresponding to a single indicator; judging whether the usage of the Nth indicator quota exceeds the warning threshold; and if the usage of the Nth indicator quota exceeds the warning threshold, judging the Nth indicator as a risk indicator, wherein N is a positive integer.

[0014] According to a second aspect of the present invention, a method for controlling an indicator quota is proposed, and the device includes: an indicator quota setting control module, which is used to: obtain indicator quota setting information by using preset indicator quota setting options and Internet of Things devices; based on the indicator quota setting information, perform indicator quota setting control by using a pre-trained validity judgment model and a mathematical operation algorithm, and obtain an indicator quota setting control result; an indicator quota allocation control module, which is used to: based on the indicator quota setting control result and the indicator quota allocation requirement, perform indicator quota allocation control by using an allocation strategy, and obtain an indicator quota allocation result; an indicator quota occupancy control module, which is used to: obtain indicator quota occupancy information based on the indicator quota allocation result and quota occupancy, perform indicator quota occupancy control by using a traversal algorithm and a comparison algorithm, and obtain quota usage information; and an indicator quota statistics control module, which is used to: output a warning message based on the quota usage information and the warning threshold; and perform real-time statistics on the usage of the indicator quota, and push the usage to authorized users.

[0015] According to some exemplary embodiments, the indicator quota setting control module may include a first judgment unit, a second judgment unit, and an indicator quota setting control result acquisition unit.

[0016] According to some exemplary embodiments, the first judgment unit may be used to perform a first preprocessing on the indicator quota setting information, input it into the validity judgment model, and obtain a validity result of the indicator quota setting information.

[0017] According to some exemplary embodiments, the second judgment unit can be used to determine whether the indicator quota is greater than the indicator cumulative quota by using a mathematical operation algorithm if the indicator quota setting information input is valid, wherein the indicator cumulative quota includes the occupied indicator quota carried forward from the first time range and the newly occupied indicator quota added in the second time range.

[0018] According to some exemplary embodiments, the indicator quota setting control result acquisition unit may be used to perform a first approval judgment based on the indicator quota setting information and acquire the indicator quota setting control result if the indicator quota is greater than the indicator cumulative quota.

[0019] According to some exemplary embodiments, the indicator quota allocation control module may include a first allocation quota acquisition unit and an institution quota allocation result acquisition unit.

[0020] According to some exemplary embodiments, the first allocation quota acquisition unit may be used to acquire the first allocation quota and the first warning ratio allocated to the user by institution based on the first allocation strategy.

[0021] According to some exemplary embodiments, the institution quota allocation result acquisition unit may be used to make a first indicator quota allocation judgment based on the first allocation quota and the first warning ratio, and acquire the institution quota allocation result.

[0022] According to some exemplary embodiments, the indicator quota occupancy control module may include a current remaining quota acquisition unit, a current remaining quota judgment unit, and a quota usage information acquisition unit.

[0023] According to some exemplary embodiments, the current remaining quota acquisition unit may be configured to acquire the current remaining quota of the institution and / or department occupying the indicator quota by utilizing a traversal algorithm.

[0024] According to some exemplary embodiments, the current remaining credit limit judgment unit may be configured to judge whether the current remaining credit limit is greater than the indicator credit limit occupation amount within the occupation time range.

[0025] According to some exemplary embodiments, the credit limit usage information acquisition unit may be used to, if the current remaining credit limit is greater than the quota occupied amount of the indicator credit limit, subject the indicator credit limit occupation information to a second approval process judgment to obtain the credit limit usage information.

[0026] According to some exemplary embodiments, the indicator quota statistical control module may include a usage collection unit, a warning threshold judgment unit and a risk indicator determination unit.

[0027] According to some exemplary embodiments, the usage collection unit can be used to collect the usage of N indicator quotas and perform a second preprocessing, wherein the usage of the indicator quota includes the quota ratio of each subordinate agency and / or department corresponding to a single indicator.

[0028] According to some exemplary embodiments, the warning threshold determination unit may be used to determine whether the usage of the Nth indicator quota exceeds a warning threshold.

[0029] According to some exemplary embodiments, the risk indicator determination unit may be configured to determine the Nth indicator as a risk indicator if the usage of the Nth indicator quota exceeds a warning threshold, where N is a positive integer.

[0030] According to a third aspect of the present invention, there is provided an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors execute the method as described above.

[0031] According to a fourth aspect of the present invention, there is provided a computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, causes the processor to execute the method as described above.

[0032] One or more of the above-mentioned embodiments have the following advantages or beneficial effects: according to the indicator quota control method provided by the present invention, by utilizing indicator quota setting control, indicator quota allocation control and indicator quota occupancy control, automatic verification and control can be achieved in each link; further, by utilizing various models, algorithms and strategies, the accuracy, efficiency, consistency and decision-making ability of indicator quota control are improved; at the same time, by integrating indicator quota setting control, indicator quota allocation control and indicator quota occupancy control into one system, the integrated management of the system can be achieved, which can simplify the system architecture, reduce duplicate functions and modules, and improve the maintainability and scalability of the system; in addition, by introducing machine learning models and mathematical algorithms, the system can quickly respond to and process large amounts of input data, realize real-time decision-making and processing capabilities, and further, help the system better adapt to different data patterns and changes, and continuously improve the performance and effectiveness of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The above contents and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:

[0034] Figure 1 The application scenario diagram of the control method, device, equipment and medium of the indicator quota according to the embodiment of the present invention is schematically shown.

[0035] Figure 2 The flowchart of the method for controlling the quota of an indicator according to an embodiment of the present invention is schematically shown.

[0036] Figure 3 A flowchart of a method for setting and controlling execution quotas according to an embodiment of the present invention is schematically shown.

[0037] Figure 4 A flowchart of a method for executing indicator quota allocation control according to an embodiment of the present invention is schematically shown.

[0038] Figure 5 A flowchart of a method for controlling execution quota occupancy according to an embodiment of the present invention is schematically shown.

[0039] Figure 6 A flowchart of a method for controlling execution quota occupancy according to an embodiment of the present invention is schematically shown.

[0040] Figure 7 The structural block diagram of the indicator quota control method according to an embodiment of the present invention is schematically shown.

[0041] Figure 8 A block diagram of an electronic device suitable for implementing a method for controlling an indicator quota according to an embodiment of the present invention is schematically shown. DETAILED DESCRIPTION

[0042] Below, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of concepts of the present invention.

[0043] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

[0044] All terms (including technical and scientific terms) used herein have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification, and should not be interpreted in an idealized or overly rigid manner.

[0045] When using expressions such as "at least one of A, B, and C, etc.", they should generally be interpreted according to the meaning of the expression commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).

[0046] In the technical solution of the present invention, the acquisition, storage and application of user personal information involved all comply with the provisions of relevant laws and regulations, take necessary confidentiality measures, and do not violate public order and good morals.

[0047] First, the technical terms described in this article are explained and described as follows.

[0048] Prior application: refers to employees or departments submitting applications to relevant approvers or departments before actually incurring expenses to obtain pre-approved expense expenditures, also referred to as "application".

[0049] Reimbursement payment: refers to employees or departments submitting relevant expense reports or reimbursement applications after actually incurring expenses in order to obtain a refund or reimbursement of the expenses incurred in advance, also referred to as "reimbursement".

[0050] Soft control: Influencing and guiding behavior through non-compulsory and non-prescriptive means to achieve the purpose of management and control.

[0051] Hard control: managing and controlling behavior through the establishment of rules, regulations and compulsory means to achieve predetermined goals and results.

[0052] Financial expense budget and equipment resource allocation are important components of enterprise accounting resource allocation. Through the planning and control of financial expense budget and equipment resource allocation, the investment of financial resources is guided, and the support, guarantee, incentive and constraint role for enterprise operation and development are played. However, in the actual implementation of the allocation indicator work, the following problems exist: the enterprise is large in scale and complex in organizational structure, and the management sophistication of each subordinate institution varies; the types of expenses and equipment resources are diverse, and the requirements for various management granularities are different; traditional budget management only controls the "reimbursement payment" link, and it is difficult to control the occurrence of "over-budget application", which is easy to lead to the occurrence of "failure to pay on time as agreed in the contract" and affect the overall budget control of the enterprise; the traditional equipment resource allocation process is long, which delays the actual work.

[0053] At present, based on the above problems, a computerized control system has been proposed. However, the current system still has some problems and limitations and cannot completely solve the above problems. Specifically, the current system design is relatively simple and lacks functions, which makes it difficult to capture some errors, making it difficult to fully consider and handle large-scale or complex control needs; the control of the quota of indicators still relies on manual review, which usually consumes a lot of time and human resources. Auditors need to review and process expense applications one by one. When there are problems such as indicator information filling not meeting the specifications and indicator quota exceeding the standard, users need to resubmit repeatedly, which may lead to inefficiency and delay in the approval process, thereby affecting the timeliness and responsiveness of control, resulting in delays in applications and lags in project execution. In addition, the types of expenses and equipment resources are diverse, and the management granularity requirements are different. The existing control system has limited computing and processing capabilities, which leads to additional tasks for applicants and approvers.

[0054] Based on this, an embodiment of the present invention provides a method for controlling an indicator quota. The control method uses indicator quota setting control, indicator quota allocation control and indicator quota occupancy control to achieve control of the indicator quota, which specifically includes: using preset indicator quota setting options and Internet of Things devices to obtain indicator quota setting information; based on the indicator quota setting information, using a pre-trained validity judgment model and a mathematical operation algorithm to perform the indicator quota setting control and obtain an indicator quota setting control result; based on the indicator quota setting control result and the indicator quota allocation requirement, using an allocation strategy to perform the indicator quota allocation control and obtain an indicator quota allocation result; and based on the indicator quota allocation result and the quota occupancy situation, obtaining indicator quota occupancy information, using a traversal algorithm and a comparison algorithm to perform the indicator quota occupancy control and obtain quota usage information. Through the method of the embodiment of the present invention, automatic verification and control can be achieved in each link, and various algorithms and strategies are used to improve the accuracy, efficiency, consistency and decision-making ability of indicator quota control; at the same time, by integrating indicator quota setting control, indicator quota allocation control and indicator quota occupancy control into one system, the integrated management of the system can be achieved, which can simplify the system architecture, reduce repeated functions and modules, and improve the maintainability and scalability of the system; in addition, by introducing machine learning models and mathematical algorithms, the system can quickly respond to and process large amounts of input data, realize real-time decision-making and processing capabilities, and further, help the system better adapt to different data patterns and changes, and continuously improve the performance and effectiveness of the system.

[0055] It should be noted that the control method, device, equipment and medium of the index quota determined by the present invention can be used in the fields of artificial intelligence technology and the Internet of Things technology, can also be used in the financial field, and can also be used in various fields other than the fields of artificial intelligence technology and the Internet of Things technology and the financial field. The application fields of the control method, device, equipment and medium of the index quota provided by the embodiments of the present invention are not limited.

[0056] Figure 1 The application scenario diagram of the control method, device, equipment and medium of the indicator quota according to the embodiment of the present invention is schematically shown.

[0057] like Figure 1 As shown, the application scenario 100 according to this embodiment may include terminal devices 101, 102, 103, a network 104 and a server 105. The network 104 is used to provide a medium for a communication link between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0058] Users can use terminal devices 101, 102, 103 to interact with server 105 through network 104 to receive or send messages, etc. Various communication client applications can be installed on terminal devices 101, 102, 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (only examples).

[0059] The terminal devices 101 , 102 , and 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, and desktop computers.

[0060] The server 105 may be a server that provides various services, such as a background management server (only an example) that provides support for websites browsed by users using the terminal devices 101, 102, and 103. The background management server may analyze and process the received data such as user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal device.

[0061] It should be noted that the control method of the indicator quota provided in the embodiment of the present invention can generally be executed by the server 105. Accordingly, the control method of the indicator quota provided in the embodiment of the present invention can generally be set in the server 105. The control method of the indicator quota provided in the embodiment of the present invention can also be executed by a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105. Accordingly, the control method of the indicator quota provided in the embodiment of the present invention can also be set in a server or server cluster that is different from the server 105 and can communicate with the terminal devices 101, 102, 103 and / or the server 105.

[0062] It should be understood that Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

[0063] Figure 2 The flowchart of the method for controlling the quota of an indicator according to an embodiment of the present invention is schematically shown.

[0064] like Figure 2 As shown, the indicator quota control method 200 of this embodiment uses indicator quota setting control, indicator quota allocation control and indicator quota occupancy control to achieve control of the indicator quota, which specifically includes operations S210 to S240.

[0065] In operation S210, the quota application information is obtained by using the preset quota setting options and the IoT device.

[0066] In an embodiment of the present invention, the obtaining of indicator quota application information specifically includes: based on preset indicator quota setting options, obtaining indicator quota setting information submitted by the user, wherein the indicator quota setting options include: indicator name, indicator type, control time range, control method, warning ratio, indicator description and indicator quota; based on the Internet of Things device, obtaining the collected indicator quota setting information, which specifically includes: using the first Internet of Things device to obtain time information; using the second Internet of Things device to obtain geographic location information.

[0067] In an embodiment of the present invention, the preset indicator quota setting information can provide detailed application content filling, which is convenient for subsequent statistical verification and tracking.

[0068] Specifically, the indicator types can be divided into "one-time" indicators and "periodic" indicators. The date range of "one-time" indicators is controlled by "start date" and "end date" to meet the needs of management within the marketing time range; the date range of "periodic" indicators is controlled by "year" to meet the needs of guaranteed reuse.

[0069] Specifically, the control methods for expense budget indicators are divided into: only soft control of reimbursement and payment, only hard control of reimbursement and payment, prior application of soft control and reimbursement and payment soft control, prior application of soft control and reimbursement and payment hard control, and prior application of hard control and reimbursement and payment hard control.

[0070] Specifically, the control method for the device resource indicator may be quota control, time control, and priority control.

[0071] In an embodiment of the present invention, the IoT device is used to collect auxiliary safety information to record the time information and geographic location information of the user's operation for subsequent effectiveness judgment. By using the IoT device to collect the indicator quota setting information, the time information and geographic location information of the user's operation can be automatically obtained. Among them, the first IoT device can be an IoT device including a built-in clock to obtain the current time and date through a timestamp function or a time server; the first IoT device can be a device capable of positioning, such as a GPS device and a WiFi positioning device, to obtain the current geographic location.

[0072] In operation S220, based on the indicator quota setting information, the indicator quota setting control is performed using a pre-trained validity judgment model and a mathematical operation algorithm to obtain an indicator quota setting control result.

[0073] Figure 3 A flowchart of a method for setting and controlling execution quotas according to an embodiment of the present invention is schematically shown.

[0074] like Figure 3 As shown, the method for setting and controlling the execution quota specifically includes operations S310 to S330.

[0075] In operation S310, the indicator quota setting information is subjected to a first preprocessing and input into the validity judgment model to obtain a validity result of the indicator quota setting information.

[0076] In an embodiment of the present invention, the first preprocessing includes processing irregular or erroneous data in data such as missing values, abnormal values, and duplicate values. Specifically, it may include deleting missing values, filling missing values, deleting abnormal values, or filling using an interpolation method.

[0077] In an embodiment of the present invention, the validity judgment model is constructed based on a support vector machine model (Support Vector Machine, SVM).

[0078] In an embodiment of the present invention, in order to ensure that the information input by the user is valid and to avoid repeated modifications that prolong the review time, the indicator quota setting information may be judged first.

[0079] In an embodiment of the present invention, the validity judgment model is pre-trained, specifically including: data preparation, collecting a data set containing indicator quota setting information that has been marked as valid or invalid. Ensure that the data set contains input features and corresponding labels; feature engineering, preprocessing and feature engineering the data set, including data cleaning, feature encoding, normalization and other operations to make the data suitable for the SVM algorithm; data partitioning, dividing the data set into a training set and a test set; training model, using the training set to train the SVM model, wherein SVM is a supervised learning algorithm, and its goal is to find an optimal hyperplane to separate data points of different categories. Through training, SVM will learn a decision boundary for classifying input data as valid or invalid; model tuning: according to the performance of the training set and the test set, adjust the parameters of the SVM to optimize the performance of the model, and the main parameters to be adjusted include kernel function selection and penalty parameter C; model evaluation, using the test set to evaluate the performance of the SVM model, common evaluation indicators include accuracy, precision, recall, F1 score, etc.

[0080] In operation S320, if the indicator quota setting information input is valid, a mathematical operation algorithm is used to determine whether the indicator quota is greater than the indicator cumulative quota, wherein the indicator cumulative quota includes the occupied indicator quota carried forward from the first time range and the newly occupied indicator quota added from the second time range.

[0081] In an embodiment of the present invention, the mathematical operation algorithm may be to use a subtraction algorithm or a mathematical operator to compare the size of the indicator amount and the indicator cumulative amount. Specifically, firstly, two variables are defined, one for storing the indicator amount and the other for storing the indicator cumulative amount; the difference between the two is calculated and the two are compared.

[0082] In an embodiment of the present invention, the system can automatically count the occupied quota of indicators carried over from the previous cycle (generally the previous year) to the current cycle (generally the current year) and the quota of indicators occupied by newly added expenditure items in the current cycle. For example, if the budget indicator of a certain expenditure category for the entire year of 2023 is set on February 1, 2023, and the control method is "apply for hard control", the system will automatically count the "occupied budget quota carried over from the previous year" and the "financial expenditure items of this expenditure category added from January 1 to February 1, 2023 (current time point)", and take the sum of the two as the cumulative quota of indicators. If the indicator quota is greater than the cumulative quota of indicators, the approval process is allowed to be submitted.

[0083] In operation S330, a first approval judgment is performed based on the indicator quota setting information to obtain the indicator quota setting control result.

[0084] In the embodiment of the present invention, if the limit verification is passed, the system will send it to another administrator for manual review according to the preset approval process, and after the review is passed, it will be sent to the head of the accounting department for approval. After approval, the expense indicator will take effect.

[0085] return Figure 2 In operation S230, based on the indicator quota setting control result and the indicator quota allocation requirement, the indicator quota allocation control is executed using the allocation strategy to obtain the indicator quota allocation result.

[0086] In the embodiment of the present invention, the indicator quota setting control can provide decision-making support information and conduct compliance review. Further, a flexible allocation mechanism is provided to meet the management scenario of "only controlling certain departments and not other departments".

[0087] Figure 4 A flowchart of a method for executing indicator quota allocation control according to an embodiment of the present invention is schematically shown.

[0088] like Figure 4 As shown, the method for executing indicator quota allocation control specifically includes operations S410 to S420.

[0089] In operation S410, based on the first allocation strategy, a first allocation quota and a first warning ratio allocated to the user by institution are obtained.

[0090] In an embodiment of the present invention, the first allocation strategy can be an allocation strategy based on a rule engine to automatically allocate indicator quotas or provide a reference for manually allocating target quotas. Specifically, a set of rules can be defined first, which describe the conditions and logic for allocating indicator quotas. The rules can be based on different factors, such as indicator type, control method, etc.; when a new indicator quota is set, the rule engine will match the rules, that is, check whether the conditions of each rule match the set indicator quota; if the match is successful, the rule engine will mark the rule as executable and perform the corresponding allocation operation according to the action defined in the rule.

[0091] In operation S420, based on the first allocated quota and the first warning ratio, a first indicator quota allocation judgment is performed to obtain an institution quota allocation result.

[0092] In an embodiment of the present invention, the first allocated quota and the first warning ratio may be sent to an institutional quota approving party to make a first indicator quota allocation judgment and obtain an institutional quota allocation result.

[0093] In an embodiment of the present invention, the execution of the indicator quota allocation control and the acquisition of the indicator quota allocation result further specifically include: based on the second allocation strategy, acquiring the second allocation quota and the second warning ratio allocated by the user according to the department; and based on the second allocation quota and the second warning ratio, performing the second indicator quota allocation judgment and acquiring the department quota allocation result. . The second allocation strategy and the second indicator quota allocation judgment are similar to the first allocation strategy and the first indicator quota allocation judgment, and are not repeated here.

[0094] In an embodiment of the present invention, the execution indicator quota allocation control can allocate indicator quotas layer by layer according to different levels of institutions and departments. For example, for the expense budget indicator, the corporate headquarters sets an indicator with an expenditure category of α and a control type of "application for hard control, reimbursement and hard control". The indicator quota is 10,000,000 yuan, of which 5,000,000 yuan is allocated to the first-level institution A. Institution A has headquarters B, and subordinate institutions C and D. A will allocate the allocated indicators to B 3,000,000 yuan and C 1,000,000 yuan. Institution B has three departments, a, b, and c. B allocates 500,000 yuan to each of the two subordinate departments a and b. Therefore, without considering the budget supplement, a can initiate a pre-application and non-project reimbursement of α up to 500,000 yuan; b can initiate a pre-application and non-project reimbursement of α up to 500,000 yuan; c can initiate a pre-application and non-project reimbursement of α up to 2,000,000 yuan; C can initiate a pre-application and non-project reimbursement of α up to 1,000,000 yuan; D can initiate a pre-application and non-project reimbursement of α up to 1,000,000 yuan; a, b, c, C, D can initiate pre-application and reimbursement payment of other expense categories without restrictions. Among them, non-project reimbursement refers to reimbursement that can be initiated without pre-application, which is mainly used in expense categories such as water, electricity, and heating.

[0095] In operation S240, based on the indicator quota allocation result and the quota occupancy situation, the indicator quota occupancy information is obtained, and the indicator quota occupancy control is performed using a traversal algorithm and a comparison algorithm to obtain quota usage information.

[0096] In an embodiment of the present invention, the indicator quota occupancy information includes the indicator quota occupancy organization and / or department, the indicator quota occupancy amount and the occupancy time range.

[0097] Figure 5 A flowchart of a method for controlling execution quota occupancy according to an embodiment of the present invention is schematically shown.

[0098] like Figure 5 As shown, the method for controlling the execution quota occupancy specifically includes operations S510 to S530.

[0099] In operation S510, a traversal algorithm is used to obtain the current remaining quota of the institution and / or department occupying the quota.

[0100] In an embodiment of the present invention, the traversal algorithm includes traversing the used quotas, subtracting them one by one, and obtaining the current remaining quota. The traversal algorithm can be applied to various complex situations and data structures. It does not rely on a specific data organization method or index structure and can be flexibly applied to different scenarios and data types.

[0101] In operation S520, within the occupied time range, based on the two stages of prior application and reimbursement payment, a comparison algorithm is used to determine whether the current remaining amount is greater than the indicator amount occupied.

[0102] In the embodiment of the present invention, in both the prior application and reimbursement payment stages, it is necessary to determine whether the current remaining amount is greater than the amount of the indicator amount occupied, so as to facilitate management and reduce operational risks such as omissions.

[0103] In the embodiment of the present invention, the greater than and less than operators may be used to compare the current remaining amount and the amount occupied by the indicator amount, thereby achieving efficient calculation and processing.

[0104] Furthermore, for the budget quota with "allocation" behavior in the expense budget indicator, the budget allocation information can be maintained when the user initiates a pre-application. Maintaining the budget allocation information refers to recording and managing the budget allocation information of each department or project during the budget preparation and execution process.

[0105] In an embodiment of the present invention, when maintaining budget allocation information, the user first adds the department at the same level or the branch under it, then adds the corresponding budget usage year, and finally maintains the corresponding budget quota for each department (or branch) in each year. When maintaining the budget usage quota, it supports allocation by amount or by proportion, and the sum of the allocation records must be consistent with the amount of this application. For example, the personal finance department and the card department of a secondary bank plan to jointly launch a cross-year marketing campaign. The personal finance department is the main leader, the card department cooperates, and branches A and B participate as implementing banks. Branch A participates this year and branch B participates next year. After negotiation, all parties need to bear a certain proportion of the expenses. When the personal finance department initiates an advance application, it is necessary to maintain the budget allocation information according to the negotiation results; the system automatically determines the corresponding institutional department occupied by the quota, as well as the corresponding time range, and automatically determines whether the quota is sufficient under the corresponding caliber. If the quota is insufficient, it will be prompted or controlled according to the corresponding budget indicator control method. The following table gives an illustration of the budget allocation information:

[0106] Table 1 Example of budget allocation information

[0107]

[0108] In the embodiment of the present invention, when a user initiates a reimbursement payment, the budget allocation information is maintained, and the system can automatically determine whether the quota under the corresponding indicator is sufficient based on the traversal algorithm. At the same time, the system can make a judgment based on the budget allocation information maintained in the prior application stage through a comparison algorithm and support adjustments. If the quota is insufficient, a prompt or control is given according to the corresponding control method.

[0109] In an embodiment of the present invention, if the department initiating the reimbursement and the department initiating the application belong to the same organization, the budget allocation department of the organization set when the application is applied can be inherited; if the organization to which the reimbursement department belongs is a subordinate organization of the organization to which the application department belongs, and the reimbursement organization does not contain a budget allocation department, the budget allocation department set when the application is applied can also be inherited.

[0110] In the embodiment of the present invention, in order to simplify the work of maintaining the allocation information in the equipment resource indicators, the system can also use the equalization method to support users to make an equal allocation. Specifically, the system supports generating an allocation ratio according to the proportion of the number of corresponding entities based on the number of people, number of outlets, number of vehicles, building area and other information of each institution and / or department, thereby improving the rationality of the allocation of security expenses; for example, if you buy green plants, you can make an equal allocation according to the building area; if you buy low-value consumables such as printing paper, you can make an equal allocation according to the number of people.

[0111] In operation S530, if the current remaining credit limit is greater than the quota occupied by the indicator credit limit, the indicator credit limit occupied information is subjected to a second approval judgment to obtain the credit limit usage information.

[0112] In an embodiment of the present invention, if the quota-occupying institution and / or department occupies the quota of other institutions and / or departments, a second approval judgment is performed based on the quota-occupying verification result, and the review result of the other institutions and / or departments is obtained. As in the above example, after the personal finance department initiates a prior application, the system automatically sends the countersignature information to the card department and branches A and B. After the countersignature review is passed, the prior application can be transferred to the accounting department and the head of the institution to complete the subsequent approval process.

[0113] In an embodiment of the present invention, the indicator quota occupancy control further specifically includes: within the first occupancy time range, based on the indicator quota occupancy information, obtaining application occupancy information that has completed the prior application but has not completed the reimbursement payment; and automatically carrying forward the application indicator quota of the application occupancy information to the second occupancy time range.

[0114] In an embodiment of the present invention, in order to ensure payment security, the control method further includes indicator quota statistical control, wherein the indicator quota statistical control is used to count the usage of the indicator quota in real time and push the usage to authorized users.

[0115] In an embodiment of the present invention, a warning message is output based on the quota usage information and the warning threshold.

[0116] In an embodiment of the present invention, the warning threshold can be set according to specific needs and business conditions, such as budget and resource constraints, historical data analysis and risk assessment, etc. The warning threshold can be set to a fixed value or dynamically adjusted according to time, indicators or other factors.

[0117] Figure 6 A flowchart of a method for controlling execution quota occupancy according to an embodiment of the present invention is schematically shown.

[0118] like Figure 6 As shown, the method for controlling the execution quota occupancy specifically includes operations S610 to S630.

[0119] In operation S610, the usage of N indicator quotas is collected and a second preprocessing is performed, wherein the usage of the indicator quota includes the quota ratio of each subordinate institution and / or department corresponding to a single indicator.

[0120] In an embodiment of the present invention, the second preprocessing includes integrating and cleaning the indicator quota usage information collected from different data sources to ensure the consistency and accuracy of the data.

[0121] In operation S620, it is determined whether the usage of the Nth indicator quota exceeds a warning threshold.

[0122] In operation S630, if the usage of the Nth indicator quota exceeds the warning threshold, the Nth indicator is determined to be a risk indicator, where N is a positive integer.

[0123] In the embodiment of the present invention, through the statistical control of the indicator quota, the administrator of each institution can view the usage of each expense or equipment resource indicator, and support the viewing of the proportion of a single indicator corresponding to each subordinate institution, department, and project, and view the corresponding project details; for the relevant authorized users of the unified department, they can view the usage of indicators involved in the category in charge, support the viewing of the proportion of a single indicator corresponding to each subordinate institution, department, and project, and support the viewing of the corresponding project details; for the heads of each department, they can view the usage of each indicator quota of the department, and support the viewing of the detailed information of the involved projects. Furthermore, for indicators that reach the warning threshold, a warning message can be output and sent to the authorized user.

[0124] The embodiments of the present invention provide a flexibly customizable indicator control method and system, which can realize automatic verification and control in various links; further, various models, algorithms and strategies are used to improve the accuracy, efficiency, consistency and decision-making ability of budget indicator quota control; at the same time, by integrating indicator quota setting control, indicator quota allocation control and indicator quota occupancy control into one system, the integrated management of the system can be realized, which can simplify the system architecture, reduce repeated functions and modules, and improve the maintainability and scalability of the system; in addition, by introducing machine learning models and mathematical algorithms, the system can quickly respond to and process large amounts of input data, realize real-time decision-making and processing capabilities, and further, help the system better adapt to different data patterns and changes, and continuously improve the performance and effect of the system.

[0125] Figure 7 The structural block diagram of the control device of the quota of indicators according to the embodiment of the present invention is schematically shown.

[0126] like Figure 7 As shown, the indicator quota control device 700 according to this embodiment includes an indicator quota setting control module 710, an indicator quota allocation control module 720, an indicator quota occupancy control module 730 and an indicator quota statistics control module 740.

[0127] The indicator quota setting control module 710 can be used to obtain indicator quota setting information using preset indicator quota setting options and IoT devices; based on the indicator quota setting information, the indicator quota setting control is performed using a pre-trained validity judgment model and a mathematical operation algorithm to obtain an indicator quota setting control result. In one embodiment, the indicator quota setting control module 710 can be used to perform operations S210 to S220 described above, which will not be repeated here.

[0128] The indicator quota allocation control module 720 can be used to perform the indicator quota allocation control based on the indicator quota setting control result and the indicator quota allocation requirement, and obtain the indicator quota allocation result using the allocation strategy. In one embodiment, the indicator quota allocation control module 720 can be used to perform the operation S230 described above, which will not be repeated here.

[0129] The indicator quota occupancy control module 730 can be used to obtain indicator quota occupancy information based on the indicator quota allocation result and quota occupancy situation, and use the traversal algorithm and the comparison algorithm to perform the indicator quota occupancy control to obtain quota usage information. In one embodiment, the indicator quota occupancy control module 730 can be used to perform the operation S240 described above, which will not be repeated here.

[0130] The indicator quota statistics control module 740 can be used to output a warning message based on the quota usage information and the warning threshold; to calculate the usage of the indicator quota in real time, and to push the usage to the authorized user. In one embodiment, the indicator quota statistics control module 740 can be used to output a warning message based on the quota usage information and the warning threshold; to calculate the usage of the indicator quota in real time, and to push the usage to the authorized user, which will not be repeated here.

[0131] According to an embodiment of the present invention, the indicator quota setting control module 710 may include a first judgment unit, a second judgment unit and an indicator quota setting control result acquisition unit.

[0132] The first judgment unit may be used to judge the input validity of the indicator quota setting information based on a proofreading algorithm. In one embodiment, the first judgment unit may be used to perform the operation S310 described above, which will not be described in detail here.

[0133] The second judgment unit can be used to perform a first preprocessing on the indicator quota setting information, input it into the validity judgment model, and obtain the validity result of the indicator quota setting information. In one embodiment, the second judgment unit can be used to perform the operation S320 described above, which will not be repeated here.

[0134] The indicator quota setting control result acquisition unit can be used to perform a first approval judgment and acquire the indicator quota setting control result if the indicator quota is greater than the indicator cumulative quota. In one embodiment, the first approval result acquisition unit can be used to perform the operation S330 described above, which will not be repeated here.

[0135] According to an embodiment of the present invention, the indicator quota allocation control module 620 may include a first allocation quota acquisition unit and an institution quota allocation result acquisition unit.

[0136] The first allocation quota acquisition unit may be used to acquire the first allocation quota and the first warning ratio of the user allocated by institution based on the first allocation strategy. In one embodiment, the first allocation quota acquisition unit may be used to perform the operation S410 described above, which will not be described in detail here.

[0137] The institution quota allocation result acquisition unit can be used to perform first indicator quota allocation judgment based on the first allocation quota and the first warning ratio to obtain the institution quota allocation result. In one embodiment, the institution quota allocation result acquisition unit can be used to perform the operation S420 described above, which will not be repeated here.

[0138] According to an embodiment of the present invention, the indicator quota occupancy control module 730 may include a current remaining quota acquisition unit, a current remaining quota judgment unit and a quota usage information acquisition unit.

[0139] The current remaining amount acquisition unit may be used to acquire the current remaining amount of the indicator quota occupying institution and / or department by using a traversal algorithm. In one embodiment, the current remaining amount acquisition unit may be used to perform the operation S510 described above, which will not be described in detail here.

[0140] The current remaining amount determination unit may be used to determine whether the current remaining amount is greater than the indicator amount of occupied amount within the occupied time range by using a comparison algorithm. In one embodiment, the current remaining amount determination unit may be used to perform the operation S520 described above, which will not be described in detail here.

[0141] The quota usage information acquisition unit can be used to perform a second approval judgment on the quota usage information if the current remaining quota is greater than the quota usage amount of the indicator. In one embodiment, the second approval result acquisition unit can be used to perform the operation S530 described above, which will not be repeated here.

[0142] According to an embodiment of the present invention, the indicator quota statistical control module 730 may include a usage collection unit, a warning threshold judgment unit and a risk indicator determination unit.

[0143] The usage collection unit can be used to collect the usage of N indicator quotas and perform a second preprocessing, wherein the usage of the indicator quota includes the quota ratio of each subordinate institution and / or department corresponding to a single indicator. In one embodiment, the usage collection unit can be used to perform the operation S610 described above, which is not repeated here.

[0144] The warning threshold determination unit may be used to determine whether the usage of the Nth indicator quota exceeds the warning threshold. In one embodiment, the warning threshold determination unit may be used to perform the operation S620 described above, which will not be described in detail here.

[0145] The risk indicator determination unit may be used to determine the Nth indicator as a risk indicator if the usage of the Nth indicator quota exceeds the warning threshold, where N is a positive integer. In one embodiment, the risk indicator determination unit may be used to perform the operation S630 described above, which will not be described in detail here.

[0146] Figure 8 A block diagram of an electronic device suitable for implementing a method for controlling an indicator quota according to an embodiment of the present invention is schematically shown.

[0147] like Figure 8 As shown, the electronic device 800 according to an embodiment of the present invention includes a processor 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage part 808 into a random access memory (RAM) 803. The processor 801 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 801 may also include an onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0148] In RAM 803, various programs and data required for the operation of electronic device 800 are stored. Processor 801, ROM 802 and RAM 803 are connected to each other via bus 804. Processor 801 performs various operations of the method flow according to the embodiment of the present invention by executing the programs in ROM 802 and / or RAM 803. It should be noted that the program can also be stored in one or more memories other than ROM 802 and RAM 803. Processor 801 can also perform various operations of the method flow according to the embodiment of the present invention by executing the programs stored in the one or more memories.

[0149] According to an embodiment of the present invention, the electronic device 800 may further include an input / output (I / O) interface 805, which is also connected to the bus 804. The electronic device 800 may further include one or more of the following components connected to the I / O interface 805: an input portion 806 including a keyboard, a mouse, etc.; an output portion 807 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 808 including a hard disk, etc.; and a communication portion 809 including a network interface card such as a LAN card, a modem, etc. The communication portion 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the I / O interface 805 as needed. A removable medium 811, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 810 as needed, so that a computer program read therefrom is installed into the storage portion 808 as needed.

[0150] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiment; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present invention is implemented.

[0151] According to an embodiment of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, for example, may include but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, an apparatus or a device. For example, according to an embodiment of the present invention, the computer-readable storage medium may include the ROM 802 and / or RAM 803 described above and / or one or more memories other than ROM 802 and RAM 803.

[0152] The embodiment of the present invention also includes a computer program product, which includes a computer program, and the computer program contains program code for executing the method shown in the flowchart. When the computer program product is run in a computer system, the program code is used to enable the computer system to implement the method provided by the embodiment of the present invention.

[0153] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when the processor 801 executes the computer program. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.

[0154] In one embodiment, the computer program may rely on tangible storage media such as optical storage devices, magnetic storage devices, etc. In another embodiment, the computer program may also be transmitted and distributed in the form of signals on a network medium, and downloaded and installed through the communication part 809, and / or installed from a removable medium 811. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0155] In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 809, and / or installed from the removable medium 811. When the computer program is executed by the processor 801, the above functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the system, device, means, module, unit, etc. described above can be implemented by a computer program module.

[0156] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages, specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, such as Java, C++, python, "C" language or similar programming languages. The program code can be executed completely on the user computing device, partially on the user device, partially on the remote computing device, or completely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (e.g., using an Internet service provider to connect through the Internet).

[0157] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0158] The embodiments of the present invention are described above. However, these embodiments are only for the purpose of illustration, and are not intended to limit the scope of the present invention. Although each embodiment is described above, it does not mean that the measures in each embodiment cannot be used in combination advantageously. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.

Claims

1. A method for controlling an indicator quota, characterized in that: The control method uses indicator quota setting control, indicator quota allocation control and indicator quota occupancy control to realize the control of the indicator quota, which specifically includes: Use the preset quota setting options and IoT devices to obtain quota setting information; Based on the indicator quota setting information, the indicator quota setting control is performed using a pre-trained validity judgment model and a mathematical operation algorithm to obtain an indicator quota setting control result; Based on the indicator quota setting control result and the indicator quota allocation requirement, the indicator quota allocation control is executed using the allocation strategy to obtain the indicator quota allocation result; and Based on the indicator quota allocation result and the quota occupancy situation, the indicator quota occupancy information is obtained, and the indicator quota occupancy control is performed using the traversal algorithm and the comparison algorithm to obtain the quota usage information.

2. The method according to claim 1, characterized in that The obtaining of the indicator quota setting information specifically includes: Based on the preset indicator quota setting options, the indicator quota setting information submitted by the user is obtained, wherein the indicator quota setting options include: indicator name, indicator type, control time range, control method, warning ratio, indicator description and indicator quota; Based on the Internet of Things device, the collected indicator quota setting information is obtained, which specifically includes: using the first Internet of Things device to obtain time information; using the second Internet of Things device to obtain geographic location information.

3. The method according to claim 2, characterized in that The step of performing the indicator quota setting control based on the indicator quota setting information and utilizing the pre-trained validity judgment model and mathematical operation algorithm to obtain the indicator quota setting control result specifically includes: Performing a first preprocessing on the indicator quota setting information, inputting the information into the validity judgment model, and obtaining a validity result of the indicator quota setting information; If the input of the indicator quota setting information is valid, using the mathematical operation algorithm, determining whether the indicator quota is greater than the indicator cumulative quota, wherein the indicator cumulative quota includes the occupied indicator quota carried forward from the first time range and the occupied indicator quota newly added from the second time range; and If the indicator quota is greater than the indicator cumulative quota, a first approval judgment is performed based on the indicator quota setting information to obtain the indicator quota setting control result.

4. The method according to claim 3, characterized in that The effectiveness judgment model is constructed based on a support vector machine model.

5. The method according to claim 1, characterized in that The execution indicator quota allocation control and obtaining the indicator quota allocation result specifically include: Based on the first allocation strategy, obtaining the first allocation quota and the first warning ratio allocated to the user by institution; and Based on the first allocation quota and the first warning ratio, a first indicator quota allocation judgment is made to obtain an institutional quota allocation result.

6. The method according to claim 1, characterized in that The quota occupation information includes the quota occupation institution and / or department, the quota occupation amount and the occupation time range. The execution quota occupation control and the quota usage information are specifically obtained including: Using the traversal algorithm, the current remaining quota of the institution and / or department occupying the quota of the indicator is obtained; In the occupied time range, a comparison algorithm is used to determine whether the current remaining amount is greater than the indicator amount occupied; and If the current remaining credit limit is greater than the quota occupied amount, the quota occupied information of the indicator is subjected to a second approval judgment to obtain the credit limit usage information.

7. The method according to claim 6, characterized in that The control of quota occupation also specifically includes: Within the first occupation time range, based on the indicator quota occupation information, obtaining the application occupation information for which the prior application has been completed but the reimbursement payment has not been completed; and The application index amount of the application occupation information is automatically carried forward to the second occupation time range.

8. The method according to claim 1, characterized in that The control method further includes indicator quota statistical control, wherein the indicator quota statistical control is used to collect statistics on the usage of indicator quota in real time and to judge risk indicators based on early warning thresholds.

9. The method according to claim 8, characterized in that The statistical control of the indicator quota specifically includes: Collecting the usage of N indicator quotas and performing a second preprocessing, wherein the usage of the indicator quota includes the quota ratio of each subordinate institution and / or department corresponding to a single indicator; Determine whether the usage of the Nth indicator quota exceeds the warning threshold; and If the usage of the Nth indicator quota exceeds the warning threshold, the Nth indicator is determined as a risk indicator, where N is a positive integer.

10. A method for controlling an indicator quota, characterized in that: The device comprises: The indicator quota setting control module is used to: obtain indicator quota setting information by using preset indicator quota setting options and IoT devices; based on the indicator quota setting information, perform indicator quota setting control by using a pre-trained validity judgment model and mathematical operation algorithm to obtain indicator quota setting control results; The indicator quota allocation control module is used to: based on the indicator quota setting control result and the indicator quota allocation requirement, use the allocation strategy to perform indicator quota allocation control and obtain the indicator quota allocation result; An indicator quota occupancy control module is used to: obtain indicator quota occupancy information based on the indicator quota allocation result and quota occupancy status, perform indicator quota occupancy control using a traversal algorithm and a comparison algorithm, and obtain quota usage information; and The indicator quota statistics control module is used to: output a warning message based on the quota usage information and the warning threshold; collect statistics on the usage of the indicator quota in real time, and push the usage to authorized users.

11. An electronic device, comprising: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors are enabled to execute the method according to any one of claims 1 to 9.

12. A computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, causes the processor to execute the method according to any one of claims 1 to 9.

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