CN115936401A - Data supervision and processing method and system for living mortgage - Google Patents
Data supervision and processing method and system for living mortgage Download PDFInfo
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Abstract
The invention provides a data supervision and processing method and a system of a living body collateral product, which relate to the technical field of intelligent data processing, and are characterized by constructing a living body collateral product supervision platform, acquiring information of the living body collateral product in a target area based on an information sensing layer, transmitting the living body collateral product sensing data information to the data processing layer to obtain standard data information of the living body collateral product, performing data identification analysis through a living body identification module to obtain living body collateral product identification information, transmitting the living body collateral product identification information to a living body value analysis module to obtain living body collateral product value information, and performing risk supervision on the living body collateral product in the target area based on a living body supervision layer.
Description
Technical Field
The invention relates to the technical field of intelligent data processing, in particular to a method and a system for supervising and processing data of a living mortgage.
Background
Live body collateral article are as the novel credit product except transmission collateral articles such as real estate, there is great uncertainty, for example, great being difficult to the management and control of quantity, uncontrollable factors such as sick, make the management and control aspect of live body collateral article have certain degree of difficulty, when leading to carrying out the management of live body collateral article, there is certain risk, now, mainly through intelligent ear tag, real time monitoring is carried out to positioning device etc. but different degree can receive positioning range, the energy consumption, the limitation of tolerance, influence final supervision effect, make unable anticipated expectation value that reaches, still further promote.
In the prior art, the data supervision method for the living body mortgages is not intelligent enough, and the acquisition and analysis processes of monitoring information are not strict enough, so that the management efficiency is low, and certain management and control risks exist.
Disclosure of Invention
The application provides a data supervision and processing method and system of a living body collateral article, which are used for solving the technical problems that the intelligence degree of the data supervision method for the living body collateral article is not enough, the acquisition and analysis process of monitoring information is not strict enough, the management efficiency is lower, and certain management and control risks exist in the prior art.
In view of the above problems, the present application provides a method and a system for monitoring and processing data of a living mortgage.
In a first aspect, the present application provides a method for data supervision and processing of a living mortgage, the method including:
constructing a living collateral supervision platform, wherein the living collateral supervision platform comprises an information sensing layer, a data processing layer and a living supervision layer;
acquiring information of the living mortgage in the target area through the information sensing layer to obtain sensing data information of the living mortgage;
the living body collateral deposit sensing data information is transmitted to the data processing layer for processing, and the data processing layer performs data preprocessing on the living body collateral deposit data information to obtain living body collateral deposit standard data information;
the data processing layer comprises a living body identification module and a living body value analysis module;
identifying and analyzing the living collateral article standard data information through the living body identification module to obtain living collateral article identification information;
analyzing and processing the identification information of the living mortgage based on the living body value analysis module to obtain the value information of the living mortgage;
and the living body supervision layer supervises the risk of the living body mortgage in the target area based on the value information of the living body mortgage.
In a second aspect, the present application provides a system for supervising and processing data of a living mortgage, the system comprising:
the system comprises a platform construction module, a data processing module and a living body monitoring module, wherein the platform construction module is used for constructing a living body collateral supervision platform which comprises an information sensing layer, a data processing layer and a living body supervision layer;
the information acquisition module is used for acquiring information of the living mortgages in the target area through the information sensing layer to obtain sensing data information of the living mortgages;
the data processing module is used for transmitting the living mortgage sensing data information to the data processing layer for processing, and the data processing layer performs data preprocessing on the living mortgage data information to obtain living mortgage standard data information;
the network layer profiling module is used for enabling the data processing layer to comprise a living body identification module and a living body value analysis module;
the information identification module is used for identifying and analyzing the living body collateral product standard data information through the living body identification module to obtain living body collateral product identification information;
the information analysis module is used for analyzing and processing the living collateral identification information based on the living collateral value analysis module to obtain living collateral value information;
and the area supervision module is used for carrying out risk supervision on the living body mortgage in the target area on the basis of the living body mortgage value information by the living body supervision layer.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
the data supervision and processing method of the living body collateral deposit comprises the steps that a living body collateral deposit supervision platform is constructed and comprises an information sensing layer, a data processing layer and a living body supervision layer, information of the living body collateral deposit in a target area is acquired through the information sensing layer, living body collateral deposit sensing data information is acquired and transmitted to the data processing layer to be processed, and living body collateral deposit standard data information is acquired, the data processing layer comprises a living body identification module and a living body value analysis module, and the living body collateral deposit standard data information is identified and analyzed through the living body identification module to acquire the living body collateral deposit identification information; the method comprises the steps that identification information of the living collateral is analyzed and processed based on the living collateral value analysis module to obtain the value information of the living collateral, risk supervision is carried out on the living collateral in the target area based on the living collateral monitoring layer, the technical problems that the data supervision method for the living collateral is not enough in intelligence degree and is not strict enough in the acquisition and analysis process of monitoring information, the management efficiency is low, and certain management and control risks exist in the living collateral are solved, and the living collateral supervision platform is constructed to realize intelligent high-efficiency low-risk supervision of the living collateral based on a multi-level network layer.
Drawings
Fig. 1 is a flow chart illustrating a method for supervising and processing data of a living collateral according to the present application;
fig. 2 is a schematic view illustrating a flow of acquiring sensed data information of a living collateral in a method for supervising and processing data of the living collateral according to the present application;
fig. 3 is a schematic view illustrating a process of acquiring identification information of a living collateral in a method for supervising and processing data of the living collateral according to the present application;
fig. 4 is a schematic diagram of a data monitoring and processing system for a living mortgage according to the present application.
Description of the reference numerals: the system comprises a platform construction module 11, an information acquisition module 12, a data processing module 13, a network layer analysis module 14, an information identification module 15, an information analysis module 16 and an area supervision module 17.
Detailed Description
The application provides a data supervision and processing method and system of a living body collateral product, a living body collateral product supervision platform is constructed, information acquisition is carried out on the living body collateral product in a target area based on an information sensing layer, the living body collateral product sensing data information is transmitted to the data processing layer, the living body collateral product standard data information is obtained, data identification analysis is carried out through a living body identification module, living body collateral product identification information is obtained, the living body collateral product identification information is transmitted to a living body value analysis module to obtain the living body collateral product value information, risk supervision is carried out on the living body collateral product in the target area based on a living body supervision layer, and the method and system are used for solving the technical problems that the data supervision method for the living body collateral product is insufficient in intelligence degree, the acquisition and analysis flow for monitoring information is not strict enough, the management efficiency is low, and certain management and control risks exist in the prior art.
Example one
As shown in fig. 1, the present application provides a method for data administration processing of a living collateral, the method comprising:
step S100: constructing a living collateral supervision platform, wherein the living collateral supervision platform comprises an information sensing layer, a data processing layer and a living supervision layer;
particularly, the living body collateral article is as a novel credit product except transmission collateral articles such as real estate, there is great uncertainty, for example, the great uncontrollable factor such as management and control that is difficult to of quantity, sick, make the management and control aspect of living body collateral article have certain degree of difficulty, in order to ensure the managerial efficiency and the risk of living body collateral article, this application provides a data supervision processing method of living body collateral article, supervise based on living body collateral article supervision platform is supplementary, there are hierarchical network layer, realize each and own duties, the analysis is gathered to the pertinence data, there are different analytic mechanism in different network layers, realize the intelligent high-efficient low risk supervision of living body collateral article.
Specifically, a multi-level network layer is constructed, including the information sensing layer, the data processing layer and the living body monitoring layer, and the living body collateral product monitoring platform is constructed, wherein the information sensing layer is connected with monitoring equipment to monitor and collect real-time information, transmit the collected real-time information to the data processing layer, perform multidimensional analysis, and further perform management and control area risk monitoring based on an analysis result on the basis of the living body supervision layer, and the living body collateral product monitoring platform is an auxiliary platform for performing full-flow management and control, tamps a foundation for subsequent supervision and control of a target area, and ensures the orderliness and actual integrating degree of supervision.
Step S200: acquiring information of the living collateral of the target area through the information sensing layer to obtain sensing data information of the living collateral;
specifically, the information sensing layer of the living body collateral monitoring platform is used for collecting information of the living body collateral of the target area, the information sensing layer is in communication connection with an infrared imaging device and a video monitoring device, the infrared imaging device is used for collecting infrared thermal image information of the living body collateral of the target area, image processing analysis is carried out to determine the temperature distribution characteristics of the living body, the video monitoring device is used for collecting all-area monitoring video information of the target area, the completeness of information collection can be effectively guaranteed by carrying out multi-device combined information collection, the follow-up monitoring effect is guaranteed, collected information is integrated and summarized to generate the sensing data information of the living body collateral, and the acquisition of the sensing data information of the living body collateral provides a data source for the follow-up data identification processing of the living body collateral.
Further, as shown in fig. 2, in the step S200 of obtaining the living collateral sensing data information, the method further includes:
step S210: the information perception layer is in communication connection with the infrared thermal imaging equipment and the video monitoring equipment;
step S220: acquiring infrared thermal image information of the living mortgage in the target area through the infrared thermal imaging equipment;
step S230: extracting the characteristics of the infrared thermal image information to obtain the temperature distribution characteristics of the living body;
step S240: acquiring full-area monitoring video information of the target area living body collateral based on the video monitoring equipment;
step S250: and determining the living body collateral sensing data information based on the living body collateral attribute information, the living body temperature distribution characteristics and the whole-area monitoring video information.
Further, in the obtaining of the living body temperature distribution characteristic, step S230 of the present application further includes:
step S231: preprocessing the infrared thermal image information to obtain standard infrared thermal image information;
step S232: performing color area division based on the standard infrared thermal image information to obtain an infrared thermal image color division area;
step S233: dividing regions according to the infrared thermal image color to obtain thermal image color region temperature information;
step S234: and obtaining the living body temperature distribution characteristic based on the temperature information of the thermal image color area.
Specifically, the information sensing layer is used as a functional layer of the living body mortgage monitoring platform, is in communication connection with the infrared imaging device and the video monitoring device, and is used for performing real-time information acquisition on a target area, determining sensing data of the living body mortgage, acquiring the infrared thermal image information of the living body mortgage in the target area based on image acquisition performed by the infrared imaging device, wherein the target area is a control area where the living body mortgage exists.
The infrared thermal image information is further subjected to graying processing to reduce the image information amount and improve subsequent processing efficiency, the grayed image is subjected to spatial transformation to adjust random errors such as an image acquisition angle and the like, the adjustment is completed through geometric transformation methods such as transposition, mirroring, translation and the like, and the standard infrared thermal image information is obtained by preprocessing the infrared thermal image information. The standard infrared thermal image information is further subjected to image segmentation, the image area is divided based on a color area, the image area is divided based on an image brightness value, a plurality of sub-area images are determined, the sub-area images serve as the infrared thermal image color divided areas, the colors are different, the corresponding color area temperatures are different, preferably, the judgment can be carried out based on the image brightness value, the area temperature matching identification is carried out based on a standard temperature comparison band, the standard temperature comparison band is a temperature judgment standard of authority authentication, the thermal image color area temperature information is acquired, the temperature distribution analysis is carried out based on the thermal image color area temperature information, the living body temperature distribution characteristic is determined, the accuracy of the living body temperature distribution characteristic is guaranteed through image processing analysis, the living body temperature distribution characteristic carries out living body state datamation on the living body collateral product, and the corresponding regulation and control can be carried out based on the living body state data.
Furthermore, based on the video monitoring device performing video acquisition on the target area, acquiring full-area monitoring video information of the living body collateral of the target area, so as to guarantee completeness of information acquisition, acquiring living body collateral attribute information, namely, types, quantity, pictures and the like of living bodies collateral for financial institutions, so as to perform management and control reference, integrating and summarizing the living body collateral attribute information, the living body temperature distribution characteristics and the full-area monitoring video information, and further performing associated information link of the living body collateral as the living body collateral sensing data information, so that comprehensiveness and accuracy of sensing data information can be effectively improved, and guarantee is provided for realizing high-efficiency low-risk supervision subsequently.
Step S300: the living collateral sensing data information is transmitted to the data processing layer for processing, and the data processing layer performs data preprocessing on the living collateral data information to obtain living collateral standard data information;
further, in the step S300 of obtaining the standard data information of the mortgage, the method further includes:
step S310: carrying out structured classification on the living collateral data information to obtain the structured data information of the living collateral and the unstructured data information of the living collateral;
step S320: performing data cleaning and normalization processing on the structured data information of the living mortgage to obtain standard structured data information of the living mortgage;
step S330: compressing the whole-area monitoring video information in the living body collateral unstructured data information to obtain living body collateral monitoring video information;
step S340: and obtaining the standard data information of the living collateral based on the standard structured data information of the living collateral and the monitoring video information of the living collateral.
Specifically, the living collateral security sensing data information is acquired based on the information sensing layer and then transmitted to the data processing layer for data preprocessing, information orderliness and interactivity serve as determination standards, the living collateral security data information is classified, for example, in the living collateral attribute information, the type and the number of living bodies, each living body picture and the like have a certain association relationship, so that multidimensional data form a data stream and can be determined as structured data, and the living collateral security data information is divided into the living collateral security structured data information and the living collateral security unstructured data information based on data structuring, such as pictures and surveillance video formats.
Performing data missing judgment on the living collateral structured data information, and performing missing data supplement based on missing value interpolation; and then, judging data abnormity, removing and carding abnormal data, acquiring a data cleaning result, further performing data normalization processing on the data cleaning result to unify data dimension, quickening subsequent data processing efficiency and guaranteeing processing precision, and taking a data processing result as the standard structured data information of the living body collateral.
And further extracting the unstructured data information of the living body collateral product, carrying out frame-by-frame analysis on the whole-region monitoring video information in the unstructured data information, judging a required frame, compressing the frame number of unimportant information video, reducing the video information amount on the basis of ensuring the video required information, and acquiring the monitoring video information of the living body collateral product. And integrating and summarizing the living body collateral product standard structured data information and the living body collateral product monitoring video information to generate the living body collateral product standard data information, so that the subsequent data processing efficiency can be effectively improved.
Step S400: the data processing layer comprises a living body identification module and a living body value analysis module;
step S500: identifying and analyzing the living collateral article standard data information through the living body identification module to obtain living collateral article identification information;
step S600: analyzing and processing the identification information of the living mortgage based on the living body value analysis module to obtain the value information of the living mortgage;
specifically, the living body identification module and the living body value analysis module are constructed in the same manner as the module operation mechanism, corresponding matching nodes and decision nodes are respectively determined, node association connection is performed to complete module construction, the living body identification module and the living body value analysis module are embedded in the data processing layer, and preferably, the output layer of the living body identification module and the input layer of the living body value analysis module can be combined to facilitate data analysis.
Inputting the living body collateral article standard data information into the living body identification module, respectively carrying out face identification and body type identification, matching and identifying living body face characteristic information and living body type characteristic information with a living body image collateral to a bank, and acquiring living body collateral article identification information; the living body collateral deposit identification information is further input into the living body value analysis module, the living body collateral deposit identification information is used as information to be identified for matching, corresponding decision information, namely collateral deposit value, is determined based on a matching result and is used as the living body collateral deposit value information, and the acquisition of the living body collateral deposit value information provides a basis for subsequent risk supervision. The accuracy and objectivity of an analysis result can be guaranteed on the basis of improving the processing and analyzing efficiency by constructing the living body identification module and the living body value analysis module to analyze data.
Further, as shown in fig. 3, in the step S500 of obtaining the identification information of the living collateral, the method further includes:
step S510: constructing a living mortgage image database according to the living mortgage attribute information;
step S520: performing living body face recognition on the living body collateral surveillance video information based on the living body recognition module to obtain living body face feature information;
step S530: performing living body shape recognition on the living body collateral segmentation image information to obtain living body shape characteristic information;
step S540: and performing living body matching with the living body mortgage image database based on the living body facial feature information and the living body type feature information to obtain the living body mortgage identification information.
Specifically, the living body recognition module is embedded in the data processing layer, and is configured to perform recognition of input information, perform information identification, including types, on living body images mortared to a bank based on the attribute information of the living body mortgage, perform image summarization and integration based on identification results, for example, divide living body types into multiple groups, and construct the living body mortgage image database. Further constructing the living body recognition module, which is a constructed auxiliary analysis tool for facial feature recognition, exemplarily calling multiple kinds of differential image information based on big data, determining a corresponding facial recognition region as a matching node, analyzing single or multiple pieces of feature information corresponding to the facial recognition region as a decision node, and performing association connection on the matching node and the decision node to construct a facial recognition decision tree; and similarly, constructing a body type recognition decision tree, generating the living body recognition module, and optimizing the living body recognition module based on a living body face recognition technology and a body type recognition technology.
Specifically, the living body collateral surveillance video information is input into the living body identification module, and living body facial feature information is obtained by carrying out living body facial identification matching; and inputting the living body collateral segmentation image information into the living body identification module, and acquiring the living body shape identification information by carrying out living body shape identification matching. And performing correlation correspondence on the living body facial feature information and the living body type feature information, further traversing the living body mortgage image database to perform feature information matching identification, and acquiring the living body mortgage identification information. Based on the living body face recognition technology and the body type recognition technology, the livestock individuals can be accurately recognized in a non-contact mode.
Further, step S600 of the present application further includes:
step S610: performing traversal convolution calculation on each frame of image information of the living collateral surveillance video information according to a preset convolution characteristic to obtain an image convolution calculation result;
step S620: obtaining living body motion characteristic information according to the image convolution calculation result;
step S630: generating a living body health risk coefficient according to the living body motion characteristic information and the living body temperature distribution characteristic;
step S640: and adjusting and correcting the value information of the living mortgage based on the living health risk coefficient.
Specifically, the living collateral identification information is analyzed and processed based on the living collateral value analysis module, living collateral value information is obtained, and secondary evaluation and correction are further carried out on the living collateral value information based on a plurality of evaluation indexes.
And performing frame-by-frame traversal convolution calculation on the living body collateral surveillance video information to perform image demand adjustment, such as edge enhancement, sharpening and the like, and acquiring the image convolution calculation result, so as to facilitate feature identification and analysis. And further performing living body motion characteristic identification and extraction, such as motion deformation, limb fluency and the like, on the basis of the image convolution calculation result, acquiring the living body motion characteristic information, and judging whether living body damage exists or not on the basis of the living body motion characteristic information so as to influence the living body value. Taking the living body motion characteristic information and the living body temperature distribution characteristic as evaluation indexes, respectively carrying out health risk analysis on the living body collateral products, preferably setting index weight, wherein the index weight is in direct proportion to health influence degree, carrying out weighted calculation on the living body collateral products based on the corresponding characteristic information, and taking the calculation result as the health risk coefficient so as to ensure the evaluation accuracy of the health risk coefficient. And determining a value adjusting direction and a value adjusting scale based on the living body health risk coefficient, and adjusting and correcting the value information of the living body collateral product, namely performing health assessment according to the motion state and the body temperature of the living body.
Step S700: and the living body supervision layer supervises the risk of the living body mortgage in the target area based on the value information of the living body mortgage.
Further, in the step S700 of performing risk supervision on the living mortgage in the target area, the method further includes:
step S710: obtaining a live mortgage value threshold according to a live mortgage management standard;
step S720: predicting the production value of the living collateral in the target area to obtain the predicted production value of the living collateral;
step S730: adding the value information of the living collateral based on the predicted production value of the living collateral to generate added value information of the living collateral;
step S740: and when the value information of the additional living body mortgage is lower than the threshold value of the living body mortgage value, sending a risk supervision early warning instruction.
Specifically, the value information of the living collateral is transmitted to the living surveillance layer for regional risk surveillance, wherein the value information of the living collateral needs to be adjusted to improve the degree of engagement between the surveillance and the region due to the fact that part of the living collateral has a certain added value. Based on the living body mortgage management standard, namely the mortgage management rule with authority authentication, value extraction is carried out on various living body mortgages, a limited critical value of the mortgage value is determined, the value thresholds corresponding to different living body types, states and the like have differences, and the living body mortgage value thresholds are generated by carrying out threshold identification, so that identification and proofreading are facilitated.
Specifically, the production value of the target area live mortgage, for example, the milk production amount of the cow, the wool supply amount, and the like, is predicted as the predicted production value of the live mortgage. And matching the predicted production value of the living collateral with the value information of the living collateral, and adding value based on the matching result, for example, adding additional value to a cow or a pregnant cow in the living body to generate the additional value information of the living collateral. Further determining the living body mortgage value threshold corresponding to the additional living body mortgage value information, judging whether the living body mortgage value threshold is met, and if the living body mortgage value threshold is met, indicating that the living body mortgage value information is in a normal supervision state; and when the target area is not satisfied, namely the target area is lower than the live body mortgage value threshold, the risk supervision early warning instruction is generated to carry out supervision early warning, so that timely adjustment is facilitated, and intelligent and accurate management and control of the target area are realized.
Example two
Based on the same inventive concept as the data supervision and processing method of the living body collateral in the foregoing embodiment, as shown in fig. 4, the present application provides a data supervision and processing system of a living body collateral, the system includes:
the system comprises a platform construction module 11, a platform construction module 11 and a living body collateral supervision platform, wherein the living body collateral supervision platform comprises an information sensing layer, a data processing layer and a living body supervision layer;
the information acquisition module 12 is used for acquiring information of the living mortgage in the target area through the information sensing layer to obtain sensing data information of the living mortgage;
the data processing module 13 is configured to transmit the living mortgage sensing data information to the data processing layer for processing, and the data processing layer performs data preprocessing on the living mortgage data information to obtain living mortgage standard data information;
a network layer profiling module 14, wherein the network layer profiling module 14 is used for the data processing layer and comprises a living body identification module and a living body value analysis module;
the information identification module 15 is used for identifying and analyzing the living collateral standard data information through the living body identification module to obtain living collateral identification information;
the information analysis module 16 is used for analyzing and processing the living collateral identification information based on the living collateral value analysis module to obtain living collateral value information;
and the region supervision module 17 is used for carrying out risk supervision on the living body collateral in the target region by the living body supervision layer based on the value information of the living body collateral.
Further, the system further comprises:
the equipment connecting module is used for the communication connection between the information sensing layer and the infrared thermal imaging equipment and the video monitoring equipment;
the image information acquisition module is used for acquiring infrared thermal image information of the living collateral of the target area through the infrared thermal imaging equipment;
the characteristic extraction module is used for carrying out characteristic extraction on the infrared thermal image information to obtain living body temperature distribution characteristics;
the video information acquisition module is used for acquiring all-area monitoring video information of the target area living body collateral based on the video monitoring equipment;
and the perception data determining module is used for determining the living body collateral perception data information based on the living body collateral attribute information, the living body temperature distribution characteristics and the whole-region monitoring video information.
Further, the system further comprises:
the information preprocessing module is used for preprocessing the infrared thermal image information to obtain standard infrared thermal image information;
the area division module is used for carrying out color area division on the basis of the standard infrared thermal image information to obtain an infrared thermal image color division area;
the temperature information acquisition module is used for dividing the area according to the infrared thermal image color to acquire the temperature information of the thermal image color area;
a feature acquisition module for acquiring the living body temperature distribution feature based on the thermal image color region temperature information.
Further, the system further comprises:
the information classification module is used for carrying out structured classification on the living collateral data information to obtain the living collateral structured data information and the living collateral unstructured data information;
the structured data processing module is used for carrying out data cleaning and normalization processing on the basis of the living body collateral product structured data information to obtain living body collateral product standard structured data information;
the video compression module is used for compressing the whole-area monitoring video information in the unstructured data information of the living collateral to obtain the monitoring video information of the living collateral;
and the standard data information acquisition module is used for acquiring the standard data information of the living collateral based on the standard structured data information of the living collateral and the monitoring video information of the living collateral.
Further, the system further comprises:
the database construction module is used for constructing a living mortgage image database according to the living mortgage attribute information;
the face recognition module is used for carrying out living body face recognition on the living body collateral monitoring video information based on the living body recognition module to obtain living body face feature information;
the body type recognition module is used for carrying out living body type recognition on the living body collateral segmentation image information to obtain living body type characteristic information;
and the database matching module is used for performing living body matching with the living body mortgage image database based on the living body facial feature information and the living body type feature information to obtain the living body mortgage identification information.
Further, the system further comprises:
the image convolution calculation module is used for performing traversal convolution calculation on each frame of image information of the living body collateral surveillance video information according to a preset convolution characteristic to obtain an image convolution calculation result;
the motion characteristic acquisition module is used for acquiring living body motion characteristic information according to the image convolution calculation result;
a coefficient generation module, configured to generate a living body health risk coefficient from the living body motion characteristic information and the living body temperature distribution characteristic;
and the information correction module is used for adjusting and correcting the value information of the living collateral based on the living health risk coefficient.
Further, the system further comprises:
the threshold acquisition module is used for acquiring a live mortgage value threshold according to a live mortgage management standard;
the production value prediction module is used for predicting the production value of the living collateral of the target area to obtain the predicted production value of the living collateral;
the information adding module is used for adding the value information of the living collateral based on the predicted production value of the living collateral to generate added value information of the living collateral;
and the instruction sending module is used for sending a risk supervision early warning instruction when the value information of the additional living body mortgage is lower than the living body mortgage value threshold value.
Through the foregoing detailed description of the method for supervising and processing data of a living body collateral product, those skilled in the art can clearly know that the method and the system for supervising and processing data of a living body collateral product in the present embodiment are provided.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. A method for supervising and processing data of a living mortgage, the method comprising:
constructing a living body collateral article supervision platform, wherein the living body collateral article supervision platform comprises an information sensing layer, a data processing layer and a living body supervision layer;
acquiring information of the living mortgage in the target area through the information sensing layer to obtain sensing data information of the living mortgage;
the living collateral sensing data information is transmitted to the data processing layer for processing, and the data processing layer performs data preprocessing on the living collateral data information to obtain living collateral standard data information;
the data processing layer comprises a living body identification module and a living body value analysis module;
identifying and analyzing the living collateral article standard data information through the living body identification module to obtain living collateral article identification information;
analyzing and processing the identification information of the living mortgage based on the living body value analysis module to obtain the value information of the living mortgage;
and the living body supervision layer supervises the risk of the living body mortgage in the target area based on the value information of the living body mortgage.
2. The method of claim 1, wherein the obtaining the living collateral perception data information comprises:
the information perception layer is in communication connection with the infrared thermal imaging equipment and the video monitoring equipment;
acquiring infrared thermal image information of the living mortgage in the target area through the infrared thermal imaging equipment;
extracting the characteristics of the infrared thermal image information to obtain the temperature distribution characteristics of the living body;
acquiring full-area monitoring video information of the target area living body collateral based on the video monitoring equipment;
and determining the living body collateral sensing data information based on the living body collateral attribute information, the living body temperature distribution characteristics and the whole-area monitoring video information.
3. The method of claim 2, wherein obtaining the in vivo temperature profile comprises:
preprocessing the infrared thermal image information to obtain standard infrared thermal image information;
performing color area division based on the standard infrared thermal image information to obtain an infrared thermal image color division area;
dividing regions according to the infrared thermal image color to obtain thermal image color region temperature information;
and obtaining the living body temperature distribution characteristic based on the temperature information of the thermal image color area.
4. The method of claim 2, wherein the obtaining of the living collateral standard data information comprises:
carrying out structured classification on the living collateral data information to obtain the structured data information of the living collateral and the unstructured data information of the living collateral;
performing data cleaning and normalization processing on the structured data information of the living mortgage to obtain standard structured data information of the living mortgage;
compressing the whole-area monitoring video information in the living body collateral unstructured data information to obtain living body collateral monitoring video information;
and obtaining the standard data information of the living collateral based on the standard structured data information of the living collateral and the monitoring video information of the living collateral.
5. The method of claim 4, wherein the obtaining the living collateral identification information comprises:
constructing a living mortgage image database according to the living mortgage attribute information;
performing living body face recognition on the living body collateral surveillance video information based on the living body recognition module to obtain living body face feature information;
performing living body shape recognition on the living body collateral segmentation image information to obtain living body shape characteristic information;
and performing living body matching with the living body mortgage image database based on the living body facial feature information and the living body shape feature information to obtain the living body mortgage identification information.
6. The method of claim 4, wherein the method comprises:
performing traversal convolution calculation on each frame of image information of the living body collateral surveillance video information according to a preset convolution characteristic to obtain an image convolution calculation result;
obtaining living body motion characteristic information according to the image convolution calculation result;
generating a living body health risk coefficient according to the living body motion characteristic information and the living body temperature distribution characteristic;
and adjusting and correcting the value information of the living collateral based on the living health risk coefficient.
7. The method of claim 1, wherein said risk-administering said target area live mortgage comprises:
obtaining a live mortgage value threshold according to a live mortgage management standard;
predicting the production value of the living collateral in the target area to obtain the predicted production value of the living collateral;
adding the value information of the living collateral based on the predicted production value of the living collateral to generate added value information of the living collateral;
and when the value information of the additional living body mortgage is lower than the threshold value of the living body mortgage value, sending a risk supervision early warning instruction.
8. A system for supervising and processing data of a living collateral, the system comprising:
the system comprises a platform construction module, a data processing module and a living body monitoring module, wherein the platform construction module is used for constructing a living body collateral supervision platform which comprises an information sensing layer, a data processing layer and a living body supervision layer;
the information acquisition module is used for acquiring information of the living mortgages in the target area through the information sensing layer to obtain sensing data information of the living mortgages;
the data processing module is used for transmitting the living collateral sensing data information to the data processing layer for processing, and the data processing layer performs data preprocessing on the living collateral data information to obtain living collateral standard data information;
the network layer profiling module is used for enabling the data processing layer to comprise a living body identification module and a living body value analysis module;
the information identification module is used for identifying and analyzing the living body collateral product standard data information through the living body identification module to obtain living body collateral product identification information;
the information analysis module is used for analyzing and processing the living collateral identification information based on the living collateral value analysis module to obtain living collateral value information;
and the area supervision module is used for carrying out risk supervision on the living body collateral in the target area by the living body supervision layer based on the value information of the living body collateral.
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