Dynamic asset management and control method and system

Abstract

The present invention discloses a dynamic asset management and control method and system. Based on the dynamic traversal of the asset space, multiple subspaces in different dimensions are determined; the corresponding encryption logic is matched according to the multiple subspaces and the user's behavior level within a preset time period; if a subspace is maliciously entered, malicious data is collected, and the early warning control of the asset space is triggered according to the malicious data, the entered subspace, and the interactive relationship between the subspaces, and early warning control is performed on the asset space. Based on the non-performing asset portfolio and the location where the malicious data is collected, dynamic avoidance is performed; based on the non-performing asset portfolio and the corresponding optimization logic, the optimization event of the non-performing asset is determined, and the optimization means of the next non-performing asset is constructed according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationship, the optimization amount of the non-performing asset, and the dynamic assets of the user, reflecting the dynamic interaction between the previous non-performing asset and the next non-performing asset.

Description

Technical Field

[0001] The present invention relates to the technical field of asset platforms, and in particular to a method and system for dynamic asset management and control. Background Art

[0002] With the development of technology, asset platforms are gradually being applied to people's lives. As comprehensive platforms, they manage and control various users' assets and implement corresponding software controls. In existing technologies, assets, including non-performing assets, are routinely controlled and presented on asset platforms through a single command. However, when malicious attacks are made on asset platforms, these controls must be passively triggered, preventing timely early warning and control measures, which affects the effectiveness of dynamic asset management. Summary of the Invention

[0003] The purpose of the present invention is to overcome the shortcomings of the existing technology. The present invention provides a dynamic asset management and control method and system, which collects asset platforms and determines the corresponding asset space according to the asset platform, user information and the confidentiality level of the intervening information; determines multiple subspaces in different dimensions based on the dynamic traversal of the asset space; matches the corresponding encryption logic according to the multiple subspaces and the user's behavior level within a preset time period; if a subspace is maliciously entered, malicious data is collected, and the early warning control of the asset space is triggered according to the malicious data, the entered subspace and the interactive relationship between each subspace, performs early warning control on the asset space, and performs corresponding control on the maliciously entered subspace and the non-maliciously entered subspace, so as to improve the overall management effect of multiple subspaces in different dimensions and the dynamic management effect of assets.

[0004] Furthermore, in the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset combinations are formed according to the warning levels of multiple non-performing assets and asset spaces. Dynamic avoidance is performed based on the non-performing asset combination and the location of malicious data. The optimization event of the non-performing asset is determined based on the non-performing asset combination and the corresponding optimization logic. The optimization means of the next non-performing asset is constructed according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user. It is compatible with the overall consideration of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, and realizes multi-dimensional control of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, ensuring the sequential optimization of each non-performing asset and reflecting the dynamic interaction between the previous non-performing asset and the next non-performing asset.

[0005] The embodiment of the present invention provides a method for dynamic asset management and control, which is applied to dynamic asset management and control scenarios;

[0006] The dynamic asset management and control method includes:

[0007] Collect asset platforms and determine the corresponding asset space based on the asset platform, user information, and confidentiality level of the intervening information;

[0008] Determining multiple subspaces in different dimensions based on dynamic traversal of the asset space;

[0009] Matching corresponding encryption logic based on multiple subspaces and the user's behavior level within a preset time period;

[0010] If a subspace is maliciously entered, malicious data will be collected and, based on the malicious data, the entered subspace, and the interaction between the subspaces, early warning and control of the asset space will be triggered;

[0011] In the early warning control of the asset space, the non-performing assets in multiple sub-spaces are collected, and corresponding non-performing asset portfolios are formed according to the warning levels of multiple non-performing assets and asset spaces. Based on the non-performing asset portfolio and the location of malicious data, dynamic avoidance is performed;

[0012] Based on the non-performing asset portfolio and the corresponding optimization logic, the optimization events of non-performing assets are determined. According to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the user's dynamic assets, the optimization means for the next non-performing asset are constructed.

[0013] Optionally, the collecting of the asset platform and determining the corresponding asset space according to the asset platform, user information, and confidentiality level of the intervening information includes:

[0014] The location of the collection asset platform;

[0015] Determining the asset platform based on positioning detection of the location of the asset platform;

[0016] Asset collection platform;

[0017] When a third-party client accesses the asset platform, access information is collected and the confidentiality level of the access information is determined based on the third-party client and the access information;

[0018] The confidentiality level of the associated asset platform, user information and intervention information is multiple-interacted, and the corresponding asset space is determined according to the confidentiality level of the asset platform, user information and intervention information.

[0019] Optionally, the determining of multiple subspaces in different dimensions based on the dynamic traversal of the asset space includes:

[0020] Freeze asset space;

[0021] Determine the corresponding traversal mode based on the load of the asset space, the application environment of the asset space, and the spatial architecture of the asset space;

[0022] Triggering dynamic traversal of the asset space along the traversal pattern;

[0023] Real-time monitoring of the dynamic traversal of asset space;

[0024] Determining a plurality of subspaces based on a dynamic traversal of the asset space;

[0025] Dimension control is performed on multiple subspaces. At this time, the multiple subspaces are in different dimensions.

[0026] Optionally, matching corresponding encryption logic according to the multiple subspaces and the user's behavior level within a preset time period includes:

[0027] Freeze multiple subspaces;

[0028] Collect multiple interactive devices associated with the user;

[0029] Outputting multiple behavior information based on detection of multiple devices;

[0030] Determine the user's behavior level within a preset time period based on multiple behavior information, corresponding behavior time, and a behavior recognition model;

[0031] Associating multiple subspaces and user behavior levels within a preset time period;

[0032] The corresponding encryption logic is matched based on multiple subspaces and the user's behavior level within a preset time period.

[0033] Optionally, if a subspace is maliciously entered, malicious data is collected, and based on the malicious data, the entered subspace, and the interaction between the subspaces, early warning control of the asset space is triggered, including:

[0034] Real-time monitoring of multiple subspaces;

[0035] If a subspace is maliciously entered, the corresponding malicious signal will be triggered;

[0036] Determine malicious data by tracing back the malicious signal, and collect the malicious data;

[0037] Determining the interaction relationship between each subspace based on the dynamic interaction of multiple subspaces;

[0038] Correlate the malicious data, the entered subspace, and the interaction between each subspace;

[0039] Based on the malicious data, the entered subspace and the interactive relationship between each subspace, the early warning control of the asset space is triggered. At this time, the subspace that has not been entered maliciously is prohibited from entering the scene, the subspace that has been entered maliciously is self-optimized, and the malicious data is located and optimized.

[0040] Optionally, in the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset portfolios are formed according to the multiple non-performing assets and the early warning levels of the asset space. Dynamic avoidance is performed based on the non-performing asset portfolio and the location of malicious data, including:

[0041] Early warning and control of fixed asset space;

[0042] In the early warning control of asset space, collect non-performing assets in multiple sub-spaces;

[0043] Collect the warning level of asset space and associate the warning levels of multiple non-performing assets and asset space;

[0044] A corresponding non-performing asset portfolio is formed based on the warning levels of multiple non-performing assets and asset space.

[0045] Optionally, in the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset portfolios are formed according to the multiple non-performing assets and the early warning levels of the asset space. Dynamic avoidance is performed based on the non-performing asset portfolio and the location of malicious data collected, which also includes:

[0046] Dynamic avoidance based on the bad asset mix and the location of malicious data;

[0047] Conduct targeted dynamic management and control of non-performing asset portfolios.

[0048] Optionally, determining an optimization event for a non-performing asset based on a portfolio of non-performing assets and corresponding optimization logic, and constructing an optimization method for the next non-performing asset based on the optimization events of multiple non-performing assets, corresponding hierarchical relationships, optimization amounts of non-performing assets, and dynamic assets of the user, includes:

[0049] Freeze the non-performing asset portfolio and link the control modules of the non-performing asset portfolio and asset platform;

[0050] Determine the corresponding optimization logic based on the control module of the non-performing asset portfolio and asset platform;

[0051] Determine the optimization events of non-performing assets based on the non-performing asset portfolio and corresponding optimization logic.

[0052] Optionally, determining an optimization event for a non-performing asset based on a portfolio of non-performing assets and corresponding optimization logic, and constructing an optimization method for the next non-performing asset based on the optimization events of multiple non-performing assets, corresponding hierarchical relationships, optimization amounts of non-performing assets, and dynamic assets of the user, further includes:

[0053] Linking optimization events of multiple non-performing assets, their corresponding hierarchical relationships, and the user's existing assets;

[0054] Determine the processing order of the optimization events of multiple non-performing assets according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships and the user's existing assets;

[0055] Following this processing sequence, the optimization amount of non-performing assets and the user's dynamic assets, the optimization means for the next non-performing asset are constructed.

[0056] In addition, an embodiment of the present invention further provides a dynamic asset management and control system, which includes:

[0057] The acquisition module is used to collect asset platforms and determine the corresponding asset space based on the asset platform, user information, and the confidentiality level of the intervention information;

[0058] A subspace module, used to determine multiple subspaces in different dimensions based on dynamic traversal of the asset space;

[0059] An encryption logic module is used to match corresponding encryption logic according to multiple subspaces and the user's behavior level within a preset time period;

[0060] The early warning control module is used to collect malicious data if a subspace is maliciously entered, and trigger early warning control of the asset space based on the malicious data, the entered subspace, and the interaction between the subspaces;

[0061] The dynamic management and control module is used to collect non-performing assets in multiple sub-spaces in the early warning control of the asset space, and form corresponding non-performing asset portfolios based on the early warning levels of multiple non-performing assets and asset spaces. Based on the non-performing asset portfolio and the location of malicious data, it dynamically avoids malicious data;

[0062] The optimization module is used to determine the optimization events of non-performing assets based on the non-performing asset portfolio and the corresponding optimization logic, and to construct the optimization means for the next non-performing asset based on the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amounts of non-performing assets and the user's dynamic assets.

[0063] In an embodiment of the present invention, through the method in the embodiment of the present invention, the asset platform is collected, and the corresponding asset space is determined according to the confidentiality level of the asset platform, user information and intervening information; multiple subspaces in different dimensions are determined based on the dynamic traversal of the asset space; the corresponding encryption logic is matched according to the multiple subspaces and the user's behavior level within a preset time period; if a subspace is maliciously entered, malicious data is collected, and the early warning control of the asset space is triggered according to the malicious data, the entered subspace and the interaction relationship between each subspace, early warning control is performed on the asset space, and corresponding management and control are performed on the maliciously entered subspace and the non-maliciously entered subspace, so as to improve the overall management effect of multiple subspaces in different dimensions and the dynamic management effect of assets.

[0064] Furthermore, in the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset combinations are formed according to the warning levels of multiple non-performing assets and asset spaces. Dynamic avoidance is performed based on the non-performing asset combination and the location of malicious data. The optimization event of the non-performing asset is determined based on the non-performing asset combination and the corresponding optimization logic. The optimization means of the next non-performing asset is constructed according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user. It is compatible with the overall consideration of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, and realizes multi-dimensional control of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, ensuring the sequential optimization of each non-performing asset and reflecting the dynamic interaction between the previous non-performing asset and the next non-performing asset. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0066] Figure 1 is a flowchart of a method for dynamic asset management and control in an embodiment of the present invention;

[0067] Figure 2 This is a flow chart of S11 in the dynamic asset management and control method in an embodiment of the present invention;

[0068] Figure 3 This is a flow chart of S12 in the dynamic asset management and control method in an embodiment of the present invention;

[0069] Figure 4 This is a flow chart of S13 in the dynamic asset management and control method in an embodiment of the present invention;

[0070] Figure 5 This is a flow chart of S14 in the dynamic asset management and control method in an embodiment of the present invention;

[0071] Figure 6 This is a flow chart of S15 in the dynamic asset management and control method in an embodiment of the present invention;

[0072] Figure 7 1 is a flow chart of S16 in the dynamic asset management and control method in an embodiment of the present invention;

[0073] Figure 8 Schematic diagram of the structure of the dynamic asset management and control system in an embodiment of the present invention;

[0074] Figure 9 The figure is a hardware diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0075] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0076] See also Figures 1 to 9 A dynamic asset management and control method is applied to dynamic asset management and control scenarios; the dynamic asset management and control method includes:

[0077] Step S11: Collect the asset platform and determine the corresponding asset space based on the asset platform, user information and the confidentiality level of the intervention information;

[0078] Step S12: determining multiple subspaces in different dimensions based on the dynamic traversal of the asset space;

[0079] Step S13: matching corresponding encryption logic according to the multiple subspaces and the user's behavior level within a preset time period;

[0080] Step S14: If a subspace is maliciously entered, malicious data is collected and, based on the malicious data, the entered subspace, and the interaction between the subspaces, early warning control of the asset space is triggered;

[0081] Step S15: In the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset combinations are formed according to the multiple non-performing assets and the early warning levels of the asset space. Based on the non-performing asset combinations and the locations of the malicious data collected, dynamic avoidance is performed;

[0082] Step S16: Determine the optimization event of the non-performing assets based on the non-performing asset portfolio and the corresponding optimization logic, and construct the optimization means for the next non-performing asset according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of the non-performing assets and the user's dynamic assets.

[0083] In an embodiment of the present invention, through the method in the embodiment of the present invention, the asset platform is collected, and the corresponding asset space is determined according to the confidentiality level of the asset platform, user information and intervening information; multiple subspaces in different dimensions are determined based on the dynamic traversal of the asset space; the corresponding encryption logic is matched according to the multiple subspaces and the user's behavior level within a preset time period; if a subspace is maliciously entered, malicious data is collected, and the early warning control of the asset space is triggered according to the malicious data, the entered subspace and the interaction relationship between each subspace, early warning control is performed on the asset space, and corresponding management and control are performed on the maliciously entered subspace and the non-maliciously entered subspace, so as to improve the overall management effect of multiple subspaces in different dimensions and the dynamic management effect of assets.

[0084] Furthermore, in the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset combinations are formed according to the warning levels of multiple non-performing assets and asset spaces. Dynamic avoidance is performed based on the non-performing asset combination and the location of malicious data. The optimization event of the non-performing asset is determined based on the non-performing asset combination and the corresponding optimization logic. The optimization means of the next non-performing asset is constructed according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user. It is compatible with the overall consideration of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, and realizes multi-dimensional control of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, ensuring the sequential optimization of each non-performing asset and reflecting the dynamic interaction between the previous non-performing asset and the next non-performing asset.

[0085] refer to Figure 2 ,In step S11, the asset platform is collected, and the corresponding asset space is determined according to the ,information of the asset platform, the user, and the confidentiality level of the ,intervention information;

[0086] In the specific implementation process of the present invention, the specific steps may be:

[0087] S111: The location of the collection asset platform;

[0088] S112: Determine the asset platform based on the location detection of the asset platform;

[0089] S113: Collection asset platform;

[0090] S114: When a third-party client accesses the asset platform, access information is collected, and a confidentiality level of the access information is determined based on the third-party client and the access information;

[0091] S115: Associating the confidentiality levels of the asset platform, user information, and intervention information, performing multiple interactions on the confidentiality levels of the asset platform, user information, and intervention information, and determining the corresponding asset space according to the confidentiality levels of the asset platform, user information, and intervention information.

[0092] In the embodiment of the present application, the location of the asset platform is collected; the asset platform is determined based on the positioning detection of the location of the asset platform, the asset platform is introduced, and the asset platform is controlled.

[0093] Furthermore, the asset platform is collected; when the asset platform is entered by a third-party client, intervention information is collected, and the confidentiality level of the intervention information is determined based on the third-party client and the intervention information; the asset platform, user information and the confidentiality level of the intervention information are associated, and multiple interactions are performed on the asset platform, user information and the confidentiality level of the intervention information, and the corresponding asset space is determined based on the asset platform, user information and the confidentiality level of the intervention information. The confidentiality level of the asset platform, user information and the intervention information is introduced to facilitate multiple interactions on the confidentiality level of the asset platform, user information and the intervention information, thereby realizing multiple interactions on the confidentiality level of the asset platform, user information and the intervention information.

[0094] At the same time, the corresponding asset space is determined according to the confidentiality level of the asset platform, user information and intervening information, which is compatible with the overall consideration of the confidentiality level of the asset platform, user information and intervening information, and ensures the accuracy of the asset space.

[0095] refer to Figure 3 , in step S12, a plurality of subspaces in different dimensions are determined based on the dynamic traversal of the asset space;

[0096] In the specific implementation process of the present invention, the specific steps may be:

[0097] S121: Freeze asset space;

[0098] S122: Determine a corresponding traversal mode according to the load of the asset space, the application environment of the asset space, and the spatial architecture of the asset space;

[0099] S123: triggering dynamic traversal of the asset space along the traversal pattern;

[0100] S124: Real-time monitoring of dynamic traversal of asset space;

[0101] S125: Determine multiple subspaces based on the dynamic traversal of the asset space;

[0102] S126: Dimension control is performed on the multiple subspaces. At this time, the multiple subspaces are in different dimensions.

[0103] In an embodiment of the present application, the asset space is frozen and controlled. At the same time, the corresponding traversal mode is determined according to the load of the asset space, the application environment of the asset space, and the spatial architecture of the asset space. This is compatible with the overall consideration of the load of the asset space, the application environment of the asset space, and the spatial architecture of the asset space, and realizes multi-dimensional control of the load of the asset space, the application environment of the asset space, and the spatial architecture of the asset space, thereby ensuring the accuracy of the traversal mode.

[0104] Furthermore, dynamic traversal of the asset space is triggered along the traversal pattern; the dynamic traversal of the asset space is monitored in real time; and multiple subspaces are determined based on the dynamic traversal of the asset space to facilitate dimensional control of the multiple subspaces. At this time, the multiple subspaces are in different dimensions.

[0105] refer to Figure 4 , in step S13, matching corresponding encryption logic according to the multiple subspaces and the user's behavior level within a preset time period;

[0106] In the specific implementation process of the present invention, the specific steps may be:

[0107] S131: freeze multiple subspaces;

[0108] S132: Collect multiple interactive devices associated with the user;

[0109] S133: Outputting multiple behavior information based on detections of multiple devices;

[0110] S134: Determine the user's behavior level within a preset time period based on multiple behavior information, corresponding behavior time, and a behavior recognition model;

[0111] S135: Associating multiple subspaces and user behavior levels within a preset time period;

[0112] S136: Matching corresponding encryption logic based on multiple subspaces and the user's behavior level within a preset time period.

[0113] In an embodiment of the present application, multiple subspaces are frozen and controlled, and at the same time, multiple interactive devices associated with the user are collected; multiple behavior information is output based on the detection of multiple devices; the user's behavior level within a preset time period is determined based on multiple behavior information, corresponding behavior time and behavior recognition model, and multiple behavior information, corresponding behavior time and behavior recognition model are introduced to achieve multiple interactions of multiple behavior information, corresponding behavior time and behavior recognition model, thereby ensuring the accuracy of the user's behavior level within the preset time period.

[0114] Furthermore, multiple subspaces and the behavior levels of users within a preset time period are associated; based on the encryption logic corresponding to the matching of multiple subspaces and the behavior levels of users within a preset time period, multiple subspaces and the behavior levels of users within a preset time period are introduced, and through the encryption logic corresponding to the matching of multiple subspaces and the behavior levels of users within a preset time period, further encryption of multiple subspaces is achieved.

[0115] refer to Figure 5 ,S14: If a subspace is maliciously entered, malicious data is collected, and the early warning control of the asset space is triggered according to the malicious data, the entered subspace and the interactive relationship between each subspace;

[0116] In the specific implementation process of the present invention, the specific steps may be:

[0117] S141: Real-time monitoring of multiple subspaces;

[0118] S142: If a subspace is maliciously entered, a corresponding malicious signal is triggered;

[0119] S143: Determine malicious data by tracing back the malicious signal, and collect the malicious data;

[0120] S144: Determining interaction relationships among the subspaces based on dynamic interactions among the multiple subspaces;

[0121] S145: Correlating the malicious data, the entered subspace, and the interaction relationship between the subspaces;

[0122] S146: Based on the malicious data, the entered subspace, and the interactive relationship between each subspace, the early warning control of the asset space is triggered. At this time, the subspace that has not been entered maliciously is prohibited from entering the scene, the subspace that has been entered maliciously is self-optimized, and the malicious data is located and optimized.

[0123] In an embodiment of the present application, an asset platform is collected, and a corresponding asset space is determined based on the asset platform, user information, and confidentiality level of intervening information; multiple subspaces in different dimensions are determined based on dynamic traversal of the asset space; corresponding encryption logic is matched according to multiple subspaces and the user's behavior level within a preset time period; if a subspace is maliciously entered, malicious data is collected, and early warning control of the asset space is triggered based on the malicious data, the entered subspace, and the interactive relationship between each subspace, early warning control is performed on the asset space, and corresponding management and control are performed on the maliciously entered subspace and the non-maliciously entered subspace, so as to improve the overall management and control effect of multiple subspaces in different dimensions and the dynamic management and control effect of assets.

[0124] At this time, multiple subspaces are monitored in real time and controlled. At the same time, if a subspace is maliciously entered, the corresponding malicious signal is triggered; malicious data is determined by tracing the malicious signal, and malicious data is collected and introduced to control the malicious data.

[0125] Therefore, based on the dynamic interaction of multiple subspaces, the interaction relationship of each subspace is determined; the malicious data, the entered subspace and the interaction relationship of each subspace are associated; based on the malicious data, the entered subspace and the interaction relationship of each subspace, the early warning control of the asset space is triggered. At this time, the subspace that has not been entered maliciously is prohibited from entering the scene, the subspace that has been entered maliciously is self-optimized, and the malicious data is positioned and optimized to facilitate timely processing of the malicious data, and the malicious data, the entered subspace and the interaction relationship of each subspace are controlled in multiple dimensions, thereby realizing the triggering of the early warning control of the asset space.

[0126] Early warning and control are carried out for the asset space, and corresponding control is carried out on the subspaces that have been maliciously entered and the subspaces that have not been maliciously entered, so as to improve the overall control effect of multiple subspaces in different dimensions and the dynamic control effect of assets.

[0127] refer to Figure 6 ,S15: In the early warning control of the asset space, the non-performing assets in multiple sub-spaces are collected, and a corresponding non-performing asset portfolio is formed according to the early warning levels of the multiple non-performing assets and the asset space, and the malicious data is collected based on the non-performing asset portfolio and the location of the malicious data for dynamic avoidance;

[0128] In the specific implementation process of the present invention, the specific steps may be:

[0129] S151: Early warning and control of fixed asset space;

[0130] S152: In the early warning control of the asset space, collect non-performing assets in multiple subspaces;

[0131] S153: Collect the warning levels of the asset space and associate the warning levels of multiple non-performing assets and asset spaces;

[0132] S154: forming a corresponding non-performing asset portfolio according to the warning levels of the plurality of non-performing assets and the asset space;

[0133] S155: Dynamic avoidance based on the bad asset portfolio and the location of malicious data;

[0134] S156: Conduct targeted dynamic management and control of non-performing asset portfolios.

[0135] In an embodiment of the present application, the early warning control of the asset space is fixed; in the early warning control of the asset space, the non-performing assets in multiple subspaces are collected; the early warning level of the asset space is collected, and the early warning levels of multiple non-performing assets and the asset space are associated.

[0136] Furthermore, a corresponding non-performing asset portfolio is formed according to the warning levels of multiple non-performing assets and asset spaces; dynamic avoidance is performed based on the location of the non-performing asset portfolio and malicious data, so as to facilitate targeted dynamic management of the non-performing asset portfolio, realizing multi-dimensional management of the non-performing asset portfolio.

[0137] refer to Figure 7 ,S16: Determine the optimization event of the non-performing assets based on the non-performing asset portfolio and the corresponding optimization logic, and construct the optimization means for the next non-performing asset according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amounts of the non-performing assets and the dynamic assets of the user;

[0138] In the specific implementation process of the present invention, the specific steps may be:

[0139] S161: freeze the non-performing asset portfolio and associate the control module of the non-performing asset portfolio and the asset platform;

[0140] S162: Determine corresponding optimization logic based on the control module of the non-performing asset portfolio and the asset platform;

[0141] S163: Determine an optimization event for non-performing assets based on the non-performing asset portfolio and corresponding optimization logic;

[0142] S164: Associating optimization events of multiple non-performing assets, corresponding hierarchical relationships, and the user's existing assets;

[0143] S165: Determine a processing order of the optimization events of the multiple non-performing assets according to the optimization events of the multiple non-performing assets, the corresponding hierarchical relationships, and the user's existing assets;

[0144] S166: Construct the optimization means for the next non-performing asset according to the processing sequence, the optimization amount of the non-performing asset and the user's dynamic assets.

[0145] During the specific implementation of the present invention, in the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset combinations are formed according to the early warning levels of multiple non-performing assets and the asset space. Dynamic avoidance is performed based on the non-performing asset combination and the location of malicious data. The optimization event of the non-performing asset is determined based on the non-performing asset combination and the corresponding optimization logic. The optimization means of the next non-performing asset is constructed according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user. It is compatible with the overall consideration of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, and realizes multi-dimensional control of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, ensuring the sequential optimization of each non-performing asset and reflecting the dynamic interaction between the previous non-performing asset and the next non-performing asset.

[0146] At this time, the non-performing asset portfolio is frozen, and the control modules of the non-performing asset portfolio and the asset platform are associated; the corresponding optimization logic is determined based on the control modules of the non-performing asset portfolio and the asset platform; the optimization events of the non-performing assets are determined based on the non-performing asset portfolio and the corresponding optimization logic, which is compatible with the non-performing asset portfolio and the corresponding optimization logic, realizes multi-dimensional control of the non-performing asset portfolio and the corresponding optimization logic, ensures the accuracy of the optimization events of the non-performing assets, and further processes the optimization events of the non-performing assets.

[0147] Therefore, the optimization events of multiple non-performing assets, the corresponding hierarchical relationships and the user's existing assets are associated; the processing order of the optimization events of multiple non-performing assets is determined according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships and the user's existing assets; the optimization means of the next non-performing asset is constructed along the processing order, the optimization amount of the non-performing assets and the user's dynamic assets, which is compatible with the overall consideration of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the user's dynamic assets, and realizes the multi-dimensional control of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the user's dynamic assets, ensuring the sequential optimization of each non-performing asset and reflecting the dynamic interaction between the previous non-performing asset and the next non-performing asset.

[0148] In another embodiment of the present invention, the asset platform is further managed and controlled, and based on the structuring, process-based, refined, standardized and intelligent operation and management of the asset platform, the acquisition risk of personal loan non-performing assets is reduced, the asset management efficiency is improved, the disposal cost is reduced, and the company's market competitiveness is comprehensively improved.

[0149] Optionally, the asset platform mainly includes module functions such as asset reception, asset ledger, asset batch disposal, and settlement certificate. It supports importing asset package source data (or API docking method), collection plan data, and actual collection data according to templates. The asset ledger mainly uses household-level non-performing assets to formally establish accounts to display a list of all asset cases, the number of asset package batches, the number of assets, the contract amount, the remaining principal statistics, and automatically calculates the cost of package sharing. It supports functions such as searching, filtering, sorting, and selecting assets to export detailed Excel documents; asset batch disposal mainly includes a list showing the status of the asset package disposal process (undisposed, assigned, entrusted, collected, closed, etc.), providing manual case assignment and template case assignment functions to realize asset subcontract entrustment, and supporting editing and adding templates; the settlement certificate can be based on asset package classification, remaining amount, overdue days and other rules to formulate templates to create a settlement certificate template. The settlement certificate generates a settlement voucher list and downloads and prints it.

[0150] In an embodiment of the present invention, through the method in the embodiment of the present invention, the asset platform is collected, and the corresponding asset space is determined according to the confidentiality level of the asset platform, user information and intervening information; multiple subspaces in different dimensions are determined based on the dynamic traversal of the asset space; the corresponding encryption logic is matched according to the multiple subspaces and the user's behavior level within a preset time period; if a subspace is maliciously entered, malicious data is collected, and the early warning control of the asset space is triggered according to the malicious data, the entered subspace and the interaction relationship between each subspace, early warning control is performed on the asset space, and corresponding management and control are performed on the maliciously entered subspace and the non-maliciously entered subspace, so as to improve the overall management effect of multiple subspaces in different dimensions and the dynamic management effect of assets.

[0151] Furthermore, in the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset combinations are formed according to the warning levels of multiple non-performing assets and asset spaces. Dynamic avoidance is performed based on the non-performing asset combination and the location of malicious data. The optimization event of the non-performing asset is determined based on the non-performing asset combination and the corresponding optimization logic. The optimization means of the next non-performing asset is constructed according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user. It is compatible with the overall consideration of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, and realizes multi-dimensional control of the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the dynamic assets of the user, ensuring the sequential optimization of each non-performing asset and reflecting the dynamic interaction between the previous non-performing asset and the next non-performing asset.

[0152] See also Figure 8 , Figure 8 It is a schematic diagram of the structural composition of the dynamic asset management and control system in an embodiment of the present invention.

[0153] like Figure 8 As shown, a dynamic asset management and control system includes:

[0154] The collection module 21 is used to collect asset platforms and determine the corresponding asset space based on the asset platform, user information and the confidentiality level of the intervention information;

[0155] A subspace module 22 is configured to determine a plurality of subspaces in different dimensions based on a dynamic traversal of the asset space;

[0156] An encryption logic module 23 is configured to match corresponding encryption logic according to the multiple subspaces and the user's behavior level within a preset time period;

[0157] The early warning control module 24 is used to collect malicious data if a subspace is maliciously entered, and trigger early warning control of the asset space based on the malicious data, the entered subspace, and the interaction between the subspaces;

[0158] Dynamic management and control module 25 is used to collect non-performing assets in multiple sub-spaces in the early warning control of the asset space, and form corresponding non-performing asset portfolios based on the multiple non-performing assets and the early warning levels of the asset space, and dynamically avoid malicious data based on the non-performing asset portfolio and the location of the malicious data;

[0159] The optimization module 26 is used to determine the optimization events of non-performing assets based on the non-performing asset portfolio and the corresponding optimization logic, and to construct the optimization means for the next non-performing asset according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amounts of non-performing assets and the dynamic assets of the user.

[0160] See also Figure 9 , refer to the following Figure 9 An electronic device 40 according to this embodiment of the present invention will be described. Figure 9 The electronic device 40 shown is only an example and should not limit the functionality and scope of use of the embodiments of the present invention.

[0161] like Figure 9 As shown, the electronic device 40 is a general-purpose computing device. Components of the electronic device 40 may include, but are not limited to, the at least one processing unit 41, the at least one storage unit 42, and a bus 43 connecting different system components (including the storage unit 42 and the processing unit 41).

[0162] The storage unit stores program codes, which can be executed by the processing unit 41, so that the processing unit 41 performs the steps according to various exemplary embodiments of the present invention described in the above “Example Method” section of this specification.

[0163] The storage unit 42 may include a readable medium in the form of a volatile storage unit, such as a random access memory unit (RAM) 421 and / or a cache memory unit 422 , and may further include a read-only memory unit (ROM) 423 .

[0164] The storage unit 42 may also include a program / utility 424 having a set (at least one) of program modules 425, such program modules 425 including but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment.

[0165] Bus 43 may represent one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.

[0166] The electronic device 40 may also communicate with one or more external devices (e.g., a keyboard, a pointing device, a Bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 40, and / or any device that enables the electronic device 40 to communicate with one or more other computing devices (e.g., a router, a modem, etc.). Such communication may be performed via an input / output (I / O) interface 44. Furthermore, the electronic device 40 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 45. Figure 9 As shown, the network adapter 45 communicates with other modules of the electronic device 40 via the bus 43. Figure 9 Not shown, other hardware and / or software modules may be used in conjunction with the electronic device 40, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup planning systems.

[0167] Through the description of the above embodiments, it will be readily understood by those skilled in the art that the example embodiments described herein can be implemented via software or via a combination of software and necessary hardware. Therefore, the technical solutions according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, or mobile hard drive) or on a network and includes several instructions for enabling a computing device (such as a personal computer, server, terminal device, or network device) to execute the methods according to the embodiments of the present disclosure.

[0168] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments can be completed by a program instructing related hardware. The program can be stored in a computer-readable storage medium, which may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. Furthermore, the computer program instructions are stored therein, and when executed by a computer, the computer executes the above methods.

[0169] In addition, the above describes in detail the dynamic asset management method and system provided by the embodiments of the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A dynamic asset management and control method, characterized in that: Applied to dynamic asset management and control scenarios; The dynamic asset management and control method includes: Collect asset platforms and determine the corresponding asset space based on the asset platform, user information, and confidentiality level of the intervening information; Determining multiple subspaces in different dimensions based on dynamic traversal of the asset space; Matching corresponding encryption logic based on multiple subspaces and the user's behavior level within a preset time period; If a subspace is maliciously entered, malicious data will be collected and, based on the malicious data, the entered subspace, and the interaction between the subspaces, early warning and control of the asset space will be triggered; In the early warning control of the asset space, non-performing assets in multiple subspaces are collected, and corresponding non-performing asset portfolios are formed according to the early warning levels of multiple non-performing assets and asset spaces, and dynamic avoidance is performed based on the location of the non-performing asset portfolio and malicious data, including: freezing the early warning control of the asset space; in the early warning control of the asset space, non-performing assets in multiple subspaces are collected; the early warning level of the asset space is collected, and the early warning level of multiple non-performing assets and asset spaces is associated; corresponding non-performing asset portfolios are formed according to the early warning levels of multiple non-performing assets and asset spaces; dynamic avoidance is performed based on the location of the non-performing asset portfolio and malicious data; targeted dynamic management and control of the non-performing asset portfolio; Based on the non-performing asset portfolio and the corresponding optimization logic, the optimization events of non-performing assets are determined. According to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amount of non-performing assets and the user's dynamic assets, the optimization means for the next non-performing asset are constructed.

2. The method for dynamic asset management and control according to claim 1, characterized in that: The asset collection platform and the determination of the corresponding asset space based on the asset platform, user information, and the confidentiality level of the intervening information include: The location of the collection asset platform; Determining the asset platform based on positioning detection of the location of the asset platform; Collection asset platform; When a third-party client accesses the asset platform, access information is collected and the confidentiality level of the access information is determined based on the third-party client and the access information; The confidentiality level of the associated asset platform, user information and intervention information is multiple-interacted, and the corresponding asset space is determined according to the confidentiality level of the asset platform, user information and intervention information.

3. The method for dynamic asset management and control according to claim 1, characterized in that: The determination of multiple subspaces in different dimensions based on the dynamic traversal of the asset space includes: Freeze asset space; Determine the corresponding traversal mode based on the load of the asset space, the application environment of the asset space, and the spatial architecture of the asset space; Triggering dynamic traversal of the asset space along the traversal pattern; Real-time monitoring of the dynamic traversal of asset space; Determining a plurality of subspaces based on a dynamic traversal of the asset space; Dimension control is performed on multiple subspaces. At this time, the multiple subspaces are in different dimensions.

4. The method for dynamic asset management and control according to claim 3, characterized in that: The encryption logic corresponding to the plurality of subspaces and the user's behavior level within a preset time period is matched, including: Freeze multiple subspaces; Collect multiple interactive devices associated with the user; Outputting multiple behavior information based on detection of multiple devices; Determine the user's behavior level within a preset time period based on multiple behavior information, corresponding behavior time, and a behavior recognition model; Associating multiple subspaces and user behavior levels within a preset time period; The corresponding encryption logic is matched based on multiple subspaces and the user's behavior level within a preset time period.

5. The method for dynamic asset management and control according to claim 4, characterized in that: If a subspace is maliciously entered, malicious data is collected, and based on the malicious data, the entered subspace, and the interaction between the subspaces, early warning control of the asset space is triggered, including: Real-time monitoring of multiple subspaces; If a subspace is maliciously entered, the corresponding malicious signal will be triggered; Determine malicious data by tracing back the malicious signal, and collect the malicious data; Determining the interaction relationship between each subspace based on the dynamic interaction of multiple subspaces; Correlate the malicious data, the entered subspace, and the interaction between each subspace; Based on the malicious data, the entered subspace and the interactive relationship between each subspace, the early warning control of the asset space is triggered. At this time, the subspace that has not been entered maliciously is prohibited from entering, the subspace that has been entered maliciously is self-optimized, and the malicious data is located and optimized.

6. The method for dynamic asset management and control according to claim 1, characterized in that: The method of determining the optimization event of non-performing assets based on the non-performing asset portfolio and the corresponding optimization logic, and constructing the optimization means for the next non-performing asset according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amounts of non-performing assets, and the dynamic assets of the user, includes: Freeze the non-performing asset portfolio and link the control modules of the non-performing asset portfolio and asset platform; Determine the corresponding optimization logic based on the control module of the non-performing asset portfolio and asset platform; Determine the optimization events of non-performing assets based on the non-performing asset portfolio and corresponding optimization logic.

7. The method for dynamic asset management and control according to claim 6, characterized in that: The method of determining an optimization event for a non-performing asset based on the non-performing asset portfolio and the corresponding optimization logic, and constructing an optimization method for the next non-performing asset based on the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amounts of the non-performing assets, and the dynamic assets of the user, further includes: Linking optimization events of multiple non-performing assets, their corresponding hierarchical relationships, and the user's existing assets; Determine the processing order of the optimization events of multiple non-performing assets according to the optimization events of multiple non-performing assets, the corresponding hierarchical relationships and the user's existing assets; Following this processing sequence, the optimization amount of non-performing assets and the user's dynamic assets, the optimization means for the next non-performing asset are constructed.

8. A dynamic asset management and control system, characterized in that: The dynamic asset management and control system is applied to the dynamic asset management and control method according to any one of claims 1 to 7, and the dynamic asset management and control system includes: The acquisition module is used to collect asset platforms and determine the corresponding asset space based on the asset platform, user information, and the confidentiality level of the intervention information; A subspace module, used to determine multiple subspaces in different dimensions based on dynamic traversal of the asset space; An encryption logic module is used to match corresponding encryption logic according to multiple subspaces and the user's behavior level within a preset time period; The early warning control module is used to collect malicious data if a subspace is maliciously entered, and trigger early warning control of the asset space based on the malicious data, the entered subspace, and the interaction between the subspaces; The dynamic management and control module is used to collect non-performing assets in multiple subspaces in the early warning control of the asset space, and form a corresponding non-performing asset portfolio based on the early warning levels of multiple non-performing assets and asset spaces, and perform dynamic avoidance based on the location of the non-performing asset portfolio and malicious data, including: freezing the early warning control of the asset space; collecting non-performing assets in multiple subspaces in the early warning control of the asset space; collecting the early warning level of the asset space and associating the early warning level of multiple non-performing assets and asset spaces; forming a corresponding non-performing asset portfolio based on the early warning levels of multiple non-performing assets and asset spaces; performing dynamic avoidance based on the location of the non-performing asset portfolio and malicious data; and performing targeted dynamic management and control of the non-performing asset portfolio; The optimization module is used to determine the optimization events of non-performing assets based on the non-performing asset portfolio and the corresponding optimization logic, and to construct the optimization means for the next non-performing asset based on the optimization events of multiple non-performing assets, the corresponding hierarchical relationships, the optimization amounts of non-performing assets and the user's dynamic assets.

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