CN115829714A - Financial product data dynamic monitoring method and system - Google Patents
Financial product data dynamic monitoring method and system Download PDFInfo
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- CN115829714A CN115829714A CN202211619836.0A CN202211619836A CN115829714A CN 115829714 A CN115829714 A CN 115829714A CN 202211619836 A CN202211619836 A CN 202211619836A CN 115829714 A CN115829714 A CN 115829714A
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Abstract
The invention discloses a method and a system for dynamically monitoring financial product data, and relates to the technical field of financial supervision. The method comprises the following steps: acquiring financial product report data of a target client; calculating the net growth rate and annual revenue rate of the financial product according to the report data of the financial product according to a preset calculation period; comparing the net value increase rate and the annual yield rate of the financing product with preset corresponding early warning threshold values to generate a comparison result; and generating and sending risk early warning prompt information of the financial product to the corresponding target client according to the comparison result. The invention can monitor the real-time dynamics of financial products, effectively and timely carry out risk early warning and provide effective decision support for customers.
Description
Technical Field
The invention relates to the technical field of financial supervision, in particular to a method and a system for dynamically monitoring financial product data.
Background
The domestic bank financing product has huge market scale, diversified financing products and changed pricing modes. The initial purpose of a customer to purchase a financial product is to invest in spare funds in an effort to maximize benefits. When a financial product is prepared to be purchased or purchased, a customer pays attention to the past income rate condition of the product, and then the customer can pursue to acquire more useful information by combining the investable period of the capital of the customer, so that the risk is reduced, and the income is improved. In actual operation, however, as for the income situation of the financial product, each financial institution usually writes "the past performance of the product does not represent the future performance of the product and is not equal to the actual income of the product" on the publicity page. The expression form of the profit is also presented in terms of "ten thousand profits" or "profitability" mainly from the viewpoint of financial institution marketing. In the aspect of profitability, the profitability is compared from the previous performance to the current net value type product profitability such as self-issuing, annual and monthly, but the profitability in the corresponding holding period of different clients is lacked, so that a decision support basis cannot be provided for the clients. The prior art has the following defects:
a. currently, professional investors at a B terminal such as a financial institution and the like have powerful analysis tools, but individual investors at a C terminal lack a convenient way for one-stop comparative analysis of financial products in the whole market;
b. the product information is comparatively dispersed: each bank is not intercommunicated, products are diversified and inconvenient to compare, so that an individual user cannot quickly, accurately and rapidly find a financial product suitable for the individual user;
c. the cost is not transparent: at present, most of banks do not directly display the cost condition on the sale page of the property products, the information disclosure is opaque, and the redemption cost, the escrow cost and the like are expressed in the contracts with small characters and more contents;
d. in the past, the profits of financial products are relatively stable, after new regulations of resources management are implemented, net value calculation is changed, the value fluctuation of the products is difficult to view in real time by investors, and an early warning mechanism is lacked.
Disclosure of Invention
In order to overcome the above problems or at least partially solve the above problems, embodiments of the present invention provide a method and a system for dynamically monitoring data of a financial product, which can monitor real-time dynamics of the financial product, timely and effectively perform risk early warning, and provide effective decision support for clients.
The embodiment of the invention is realized by the following steps:
in a first aspect, an embodiment of the present invention provides a method for dynamically monitoring financial product data, including the following steps:
acquiring financial product report data of a target client;
calculating the net value growth rate and the annual profit rate of the financial product according to the report data of the financial product according to a preset calculation period;
comparing the net value increase rate and the annual yield rate of the financing product with preset corresponding early warning threshold values to generate a comparison result;
and generating and sending risk early warning prompt information of the financial product to the corresponding target client according to the comparison result.
In order to solve the problems in the prior art, the method automatically calculates the net worth increasing rate and the annual yield rate in real time by acquiring the comprehensive financial product report data of a target client, and accurately and effectively monitors the financial products of the client; the method comprises the steps of automatically calculating the income condition, carrying out income growth estimation judgment, carrying out risk assessment by combining a net growth rate early warning threshold value and an annual income rate early warning threshold value set by a user, generating prompt information in time, sending the prompt information to a target customer, helping the target customer accurately know the growth trend of financial products purchased by the target customer, and providing effective support for subsequent financial investment.
Based on the first aspect, in some embodiments of the present invention, the method for obtaining financial product reporting data of a target customer includes the following steps:
capturing financial product information of target customers in each bank webpage by using a data crawler technology;
and carrying out standardized processing on the captured financing product information to obtain the financing product report data of the target client.
Based on the first aspect, in some embodiments of the present invention, the method for calculating the net worth growth rate and the annual profit rate of the financial product according to the financial product report data comprises the following steps:
extracting the unit net value of the product on the day and the unit net value of the product when the purchase share of the customer is confirmed in the financial product report data;
and comparing the daily product unit net value with the product unit net value when the target customer purchase share is confirmed, and calculating the net value increase rate and the annual yield rate of the financing product during the holding period.
Based on the first aspect, in some embodiments of the present invention, the method for generating and sending the risk pre-warning prompt message of the financial product to the corresponding target customer according to the comparison result includes the following steps:
if at least one of the net growth rate and the annual income rate in the comparison result exceeds the corresponding preset early warning threshold upper limit, generating and sending income growth prompt information to the corresponding target client;
and if at least one of the net growth rate and the annual yield rate in the comparison result is lower than the corresponding preset lower limit of the early warning threshold, generating and sending risk prompt information to the corresponding target client.
Based on the first aspect, in some embodiments of the present invention, the method for dynamically monitoring financial product data further comprises the following steps:
inputting loss stopping points/adding points preset by a target customer;
when the net worth increasing rate reaches the loss stopping point, executing a redemption instruction, and ending the financing transaction;
and when the net value increase rate reaches the additional point, executing a purchase requisition and adding the investment amount.
Based on the first aspect, in some embodiments of the present invention, the method for dynamically monitoring financial product data further comprises the following steps:
and collecting the information of each bank financing product according to a preset collection period, and dynamically updating the financing products.
Based on the first aspect, in some embodiments of the present invention, the method for dynamically monitoring financial product data further comprises the following steps:
and generating and displaying a three-dimensional dynamic trend graph according to the comparison result.
In a second aspect, an embodiment of the present invention provides a system for dynamically monitoring financial product data, including: data acquisition module, income calculation module, contrast module and early warning module, wherein:
the data acquisition module is used for acquiring financial product report data of a target client;
the profit calculation module is used for calculating the net value growth rate and the annual profit rate of the financial product according to the report data of the financial product according to the preset calculation period;
the comparison module is used for comparing the net value increase rate and the annual yield rate of the financing product with the preset corresponding early warning threshold value to generate a comparison result;
and the early warning module is used for generating and sending risk early warning prompt information of the financial product to the corresponding target client according to the comparison result.
In order to solve the problems in the prior art, the system automatically calculates the net worth increasing rate and annual profitability in real time by matching a plurality of modules such as a data acquisition module, a profit calculation module, a comparison module and an early warning module and acquiring comprehensive financial product report data of a target client, and accurately and effectively monitors financial products of the client; the method comprises the steps of automatically calculating the income condition, carrying out income growth estimation judgment, carrying out risk assessment by combining a net growth rate early warning threshold value and an annual income rate early warning threshold value set by a user, generating prompt information in time, sending the prompt information to a target customer, helping the target customer accurately know the growth trend of financial products purchased by the target customer, and providing effective support for subsequent financial investment.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory for storing one or more programs; a processor. The program or programs, when executed by a processor, implement the method of any of the first aspects as described above.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method according to any one of the first aspect described above.
The embodiment of the invention at least has the following advantages or beneficial effects:
the embodiment of the invention provides a method and a system for dynamically monitoring financing product data, which are used for acquiring comprehensive financing product report data of a target customer, automatically calculating net value increase rate and annual yield in real time, carrying out risk assessment, carrying out accurate and effective monitoring and risk early warning on a financing product of the customer, helping the target customer accurately know the amplitude trend of the financing product purchased by the target customer and providing effective support for subsequent financing investment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a method for dynamically monitoring financial product data in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of data acquisition in a method for dynamically monitoring financial product data according to an embodiment of the present invention;
FIG. 3 is a flow chart of calculating the net worth growth rate and annual profitability of a financial product in a method for dynamically monitoring financial product data in accordance with an embodiment of the present invention;
FIG. 4 is a schematic block diagram of a system for dynamically monitoring financial product data in accordance with an embodiment of the present invention;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Description of the reference numerals: 100. a data acquisition module; 200. a profit calculation module; 300. a comparison module; 400. an early warning module; 101. a memory; 102. a processor; 103. a communication interface.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another identical element in a process, method, article, or apparatus that comprises the element.
In the description of the embodiments of the present invention, "a plurality" represents at least 2.
The embodiment is as follows:
as shown in fig. 1 to fig. 3, in a first aspect, an embodiment of the present invention provides a method for dynamically monitoring financial product data, including the following steps:
s1, acquiring financial product report data of a target client;
further, as shown in fig. 2, the method includes:
s11, capturing financing product information of target customers in all the bank webpages by using a data crawler technology;
and S12, carrying out standardized processing on the captured financial product information to obtain financial product report data of the target client.
In some embodiments of the invention, the financial product information of each large and medium bank is captured by using a data crawler technology, and the financial product information is subjected to standardized processing, including the processing of classifying, arranging and the like on the financial products, so that clear and complete financial product report data is obtained, and accurate data support is provided for the subsequent data analysis and calculation.
S2, calculating the net value growth rate and the annual yield of the financial product according to the report data of the financial product according to a preset calculation period;
further, as shown in fig. 3, the method includes:
s21, extracting the unit net value of the product on the day and the unit net value of the product when the purchase share of the customer is confirmed in the financial product report data;
and S22, comparing the daily product unit net value with the product unit net value obtained when the target customer purchase share is confirmed, and calculating the net value increase rate and the annual income rate of the financing product during the holding period.
In some embodiments of the invention, the unit net value of the product on the day is obtained according to the report data of the financial product, and the net value increase rate and the annual income rate of the financial product during the holding period are calculated by comparing the unit net value of the product when the purchase share of the customer is confirmed.
Suppose that: t and T represent the date of purchase confirmation and current ready-to-redeem, respectively, P t Representing net value at initial purchase, P T Representing the current time pointNet worth, Q is the share of the subscription, the sum of various fees F generated during the redemption process, the net worth growth rate r, the fixed and floating fees in the process, wherein the escrow rate r tg Sales procedure charge rate r sx Investment management rate r tz And other fixed costs r gd Floating management rate r f (where the tariff r is managed floating f Associated with the net growth rate r), then:
net worth growth rate:
the total of various expenses:
actual annual profitability:
according to the collected information, dynamically calculating R, and then according to a threshold value R preset by an investor 0 Comparing the actual R and R at present 0 And providing basis for investors to make investment decisions subsequently.
S3, comparing the net value increase rate and the annual income rate of the financing product with preset corresponding early warning threshold values to generate a comparison result;
and S4, generating and sending risk early warning prompt information of the financial products to corresponding target clients according to the comparison result.
Further, it includes: if at least one of the net growth rate and the annual income rate in the comparison result exceeds the corresponding preset early warning threshold upper limit, generating and sending income growth prompt information to the corresponding target client; and if at least one of the net growth rate and the annual yield rate in the comparison result is lower than the corresponding preset lower limit of the early warning threshold, generating and sending risk prompt information to the corresponding target client.
In some embodiments of the invention, the net worth increase rate and the annual profit rate of the financing product during the holding period are calculated, then the net worth increase rate and the annual profit rate are compared with the timely early warning threshold value set by the customer to obtain the risk assessment result of the financing product, and when the net worth increase rate exceeds the threshold value, the prompt is given through the short message. After receiving the prompt, the customer can make a decision of applying and redeeming according to the change condition of the net worth increasing rate: if the upper limit of the threshold value is exceeded, the yield is beyond expectation, and the investment can be added; if the threshold is exceeded, meaning that the loss of revenue rate exceeds what the customer can accept, the customer can redeem it to make a timely stop.
In order to solve the problems in the prior art, the method automatically calculates the net worth increasing rate and the annual yield rate in real time by acquiring the comprehensive financial product report data of a target client, and accurately and effectively monitors the financial products of the client; the method comprises the steps of automatically calculating the income condition, carrying out income growth estimation judgment, carrying out risk assessment by combining a net growth rate early warning threshold value and an annual income rate early warning threshold value set by a user, generating prompt information in time, sending the prompt information to a target customer, helping the target customer accurately know the growth trend of financial products purchased by the target customer, and providing effective support for subsequent financial investment. The financial data is monitored and analyzed in real time, and the client is reminded when the fluctuation range exceeds the threshold value, so that accurate basis is provided for applying and redeeming strategies.
In addition, based on the invention, emotion agent indexes of bank financial product investors are obtained by collecting and analyzing the types of bank financial products purchased by customers and the set corresponding early warning threshold data, and all the emotion agent indexes of the investors are subjected to standardized processing, so that subjective evaluation of the customers on the financial products can be obtained, and a perfecting strategy is provided for subsequent distributors of the financial products.
Based on the first aspect, in some embodiments of the present invention, the method for dynamically monitoring financial product data further comprises the following steps:
inputting loss stopping points/adding points preset by a target customer;
when the net worth increasing rate reaches the loss stopping point, executing a redemption instruction, and ending the financing transaction;
and when the net value increase rate reaches the additional point, executing a purchase requisition and adding the investment amount.
In order to further improve the intelligent monitoring effect on the investment of the financial products of the customers, the redemption instructions or the purchase applying instructions are automatically executed in time according to the loss stopping points or the additional points preset by the customers, the transaction is automatically carried out, the speed loss stopping and leaving of the customers are facilitated, or the investment is added, and the income is improved.
Based on the first aspect, in some embodiments of the present invention, the method for dynamically monitoring financial product data further comprises the following steps:
and collecting the information of each bank financing product according to a preset collection period, and dynamically updating the financing products.
The method comprises the steps of periodically collecting big data information of each type of financial products provided by each external big data providing terminal, classifying and storing the collected big data information of the financial products, dynamically updating the condition of each financial product in time, and providing more accurate updated condition of the financial products for clients.
Based on the first aspect, in some embodiments of the present invention, the method for dynamically monitoring financial product data further comprises the following steps:
and generating and displaying a three-dimensional dynamic trend graph according to the comparison result.
In order to further help the client to visually and clearly know the situation of the financial product, a three-dimensional dynamic financial product income increase and decrease change trend graph is generated according to the comparison result, and the situation of the financial product is visually and clearly shown through the three-dimensional graph.
As shown in fig. 4, in a second aspect, an embodiment of the present invention provides a system for dynamically monitoring financial product data, including: data acquisition module 100, profit calculation module 200, comparison module 300 and early warning module 400, wherein:
the data acquisition module 100 is used for acquiring financial product report data of a target client;
the profit calculation module 200 is used for calculating the net worth increasing rate and the annual profit rate of the financial product according to the financial product report data according to the preset calculation period;
the comparison module 300 is used for comparing the net growth rate and the annual yield rate of the financing product with the preset corresponding early warning threshold values to generate comparison results;
and the early warning module 400 is used for generating and sending risk early warning prompt information of the financial product to the corresponding target client according to the comparison result.
In order to solve the problems in the prior art, the system automatically calculates the net worth increasing rate and annual profitability by acquiring comprehensive financial product report data of a target client through the cooperation of a plurality of modules such as a data acquisition module 100, a profit calculation module 200, a comparison module 300 and an early warning module 400, and accurately and effectively monitors financial products of the client; the method comprises the steps of automatically calculating the income condition, carrying out income growth estimation judgment, carrying out risk assessment by combining a net growth rate early warning threshold value and an annual income rate early warning threshold value set by a user, generating prompt information in time, sending the prompt information to a target customer, helping the target customer accurately know the growth trend of financial products purchased by the target customer, and providing effective support for subsequent financial investment.
In a third aspect, as shown in fig. 5, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The one or more programs, when executed by the processor 102, implement the method of any of the first aspects as described above.
Also included is a communication interface 103, and the memory 101, processor 102 and communication interface 103 are electrically connected to each other, directly or indirectly, to enable transfer or interaction of data. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules, and the processor 102 executes the software programs and modules stored in the memory 101 to thereby execute various functional applications and data processing. The communication interface 103 may be used for communicating signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 102 may be an integrated circuit chip having signal processing capabilities. The Processor 102 may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system and method can be implemented in other ways. The method and system embodiments described above are merely illustrative, for example, the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, which, when executed by the processor 102, implements the method according to any one of the first aspect described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A method for dynamically monitoring financial product data is characterized by comprising the following steps:
acquiring financial product report data of a target client;
calculating the net value growth rate and the annual profit rate of the financial product according to the report data of the financial product according to a preset calculation period;
comparing the net value increase rate and the annual yield rate of the financing product with preset corresponding early warning threshold values to generate a comparison result;
and generating and sending risk early warning prompt information of the financial product to the corresponding target client according to the comparison result.
2. The method of claim 1, wherein said method of obtaining financial product reporting data for a target customer comprises the steps of:
capturing financing product information of target customers in each bank webpage by using a data crawler technology;
and carrying out standardized processing on the captured financing product information to obtain the financing product report data of the target client.
3. The method of claim 1, wherein said method of calculating the net growth rate and annual profitability of a financial product based on financial product reporting data comprises the steps of:
extracting the unit net value of the product on the day and the unit net value of the product when the purchase share of the customer is confirmed in the financial product report data;
and comparing the daily product unit net value with the product unit net value when the target customer purchase share is confirmed, and calculating the net value increase rate and the annual yield rate of the financing product during the holding period.
4. The method for dynamically monitoring financial product data according to claim 1, wherein the method for generating and sending risk early warning prompt information of the financial product to a corresponding target client according to the comparison result comprises the following steps:
if at least one of the net growth rate and the annual income rate in the comparison result exceeds the corresponding preset early warning threshold upper limit, generating and sending income growth prompt information to the corresponding target client;
and if at least one of the net growth rate and the annual yield rate in the comparison result is lower than the corresponding preset lower warning threshold limit, generating and sending risk prompt information to the corresponding target client.
5. The method of claim 1, further comprising the steps of:
inputting loss stopping points/adding points preset by a target customer;
when the net worth increasing rate reaches the loss stopping point, executing a redemption instruction, and ending the financing transaction;
and when the net value increase rate reaches the additional point, executing a purchase requisition and adding the investment amount.
6. The method of claim 1, further comprising the steps of:
and collecting the information of each bank financing product according to a preset collection period, and dynamically updating the financing products.
7. The method of claim 1, further comprising the steps of:
and generating and displaying a three-dimensional dynamic trend graph according to the comparison result.
8. A system for dynamically monitoring financial product data, comprising: data acquisition module, income calculation module, contrast module and early warning module, wherein:
the data acquisition module is used for acquiring financial product report data of a target client;
the profit calculation module is used for calculating the net value growth rate and the annual profit rate of the financial product according to the report data of the financial product according to the preset calculation period;
the comparison module is used for comparing the net value increase rate and the annual yield rate of the financing product with the preset corresponding early warning threshold value to generate a comparison result;
and the early warning module is used for generating and sending risk early warning prompt information of the financial product to the corresponding target client according to the comparison result.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the one or more programs, when executed by the processor, implement the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.
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| CN202211619836.0A CN115829714A (en) | 2022-12-15 | 2022-12-15 | Financial product data dynamic monitoring method and system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116596575A (en) * | 2023-07-17 | 2023-08-15 | 华夏技术(临沂)有限公司 | Fresh product cashier control system based on artificial intelligence |
| CN116777226A (en) * | 2023-08-18 | 2023-09-19 | 中国标准化研究院 | Information display system based on quantization processing model |
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2022
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116596575A (en) * | 2023-07-17 | 2023-08-15 | 华夏技术(临沂)有限公司 | Fresh product cashier control system based on artificial intelligence |
| CN116596575B (en) * | 2023-07-17 | 2023-10-10 | 华夏技术(临沂)有限公司 | Fresh product cashier control system based on artificial intelligence |
| CN116777226A (en) * | 2023-08-18 | 2023-09-19 | 中国标准化研究院 | Information display system based on quantization processing model |
| CN116777226B (en) * | 2023-08-18 | 2023-10-13 | 中国标准化研究院 | Information display system based on quantization processing model |
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