Collateral storage method and device, storage medium and electronic equipment

Abstract

The invention discloses a collateral storage method and device, a storage medium and electronic equipment. Relates to the technical field of data processing, the field of financial science and technology and other related technical fields, and comprises the following steps: scanning an electronic tag of a target collateral to obtain target attribute information of the target collateral; under the condition that the target collateral meets the target storage condition, classifying the target collateral based on the target attribute information through a target classification algorithm to obtain target category information corresponding to the target collateral; screening out a target storage area from the plurality of storage areas according to the target category information; and storing the target collateral to the target storage area to complete warehousing processing of the target collateral. According to the method and the device, the problem that the warehousing processing efficiency of the collateral is relatively low because the collateral of the financial institution is subjected to warehousing processing in a manual mode in the related technology is solved.

Description

Technical Field

[0001] The present application relates to the fields of data processing technology, financial technology and other related technical fields, and specifically to a method and device for storing collateral, a storage medium and an electronic device. Background Art

[0002] Currently, financial institutions lack the means to monitor warehouses. In addition to fixed personnel on duty, on-site monitoring only includes simple cameras or sensor door settings, which cannot achieve accurate control of the status or quality of the collateral, and can easily lead to business risks caused by collateral problems.

[0003] Currently, no effective solution has been proposed to address the problem that the warehousing efficiency of financial institutions is relatively low due to the manual processing of collateral in related technologies. Summary of the invention

[0004] The main purpose of this application is to provide a collateral storage method and device, storage medium and electronic equipment to solve the problem in the related art that the collateral storage of financial institutions is manually processed, resulting in low efficiency in the storage of collateral.

[0005] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a method for warehousing collateral is provided. The method comprises: scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; if the target collateral meets the target warehousing conditions, classifying the target collateral based on the target attribute information by a target classification algorithm to obtain the target category information corresponding to the target collateral; based on the target category information, selecting a target storage area from multiple storage areas; storing the target collateral in the target storage area to complete the warehousing process of the target collateral.

[0006] Furthermore, before scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral, the method also includes: when it is detected that the target collateral is mortgaged, generating the target attribute information of the target collateral based on the target collateral; generating the electronic tag based on the target attribute information; and binding the electronic tag to the target collateral.

[0007] Furthermore, before classifying the target collateral based on the target attribute information through a target classification algorithm to obtain target category information corresponding to the target collateral, the method also includes: when it is detected that the target collateral is mortgaged, collecting a target collateral image corresponding to the target collateral; recognizing the target collateral image through a target recognition algorithm to obtain target status information corresponding to the target collateral, wherein the target status information is used to characterize whether there is an abnormality with the target collateral; when the target status information characterizes that there is no abnormality with the target collateral, determining that the target collateral meets the target warehousing condition; when the target status information characterizes that there is an abnormality with the target collateral, determining that the target collateral does not meet the target warehousing condition.

[0008] Furthermore, storing the target collateral in the target storage area to complete the warehousing processing of the target collateral includes: storing the target collateral in the target storage area; after storing the target collateral in the target storage area, obtaining a first current weight value corresponding to the scale corresponding to the target storage area; judging whether the first current weight value and the first target weight value are equal, wherein the first target weight value is the sum of the weight value of the scale when the target collateral is not placed in it and the weight value of the target collateral in the target attribute information; when the first current weight value and the first target weight value are equal, determining that the warehousing processing of the target collateral has been completed.

[0009] Furthermore, after storing the target collateral in the target storage area to complete the warehousing processing of the target collateral, the method also includes: extracting the target collateral from the target storage area when the target collateral meets the target out-of-warehouse conditions; after extracting the target collateral from the target storage area, obtaining a second current weight value corresponding to the scale corresponding to the target storage area; judging whether the second current weight value and a second target weight value are equal, wherein the second target weight value is the difference between the weight value of the scale after the target collateral is placed in and the weight value of the target collateral in the target attribute information; when the second current weight value and the second target weight value are equal, determining that the out-of-warehouse processing of the target collateral has been completed.

[0010] Furthermore, after determining whether the second current weight value and the second target weight value are equal, the method also includes: in the case that the second current weight value and the second target weight value are not equal, calculating based on the second current weight value and the second target weight value to obtain a target difference; determining a target risk level based on the target difference; and determining whether to trigger an alarm signal based on the target risk level, wherein the alarm signal is used to instruct the target object to process the target collateral.

[0011] Furthermore, the target collateral is classified based on the target attribute information through a target classification algorithm to obtain target category information corresponding to the target collateral, including: discretizing the target attribute information to obtain processed target attribute information; performing calculations based on the processed target attribute information and multiple category information to obtain probability values ​​corresponding to each category information; and determining the target category information corresponding to the target collateral from the multiple category information based on the probability values ​​corresponding to each category information.

[0012] In order to achieve the above-mentioned purpose, according to another aspect of the present application, a collateral storage device is provided. The device comprises: a scanning unit, which is used to scan the electronic tag of the target collateral to obtain the target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; a classification unit, which is used to classify the target collateral based on the target attribute information by a target classification algorithm when the target collateral meets the target storage conditions, and obtain the target category information corresponding to the target collateral; a screening unit, which is used to screen out a target storage area from multiple storage areas according to the target category information; and a storage unit, which is used to store the target collateral in the target storage area to complete the storage processing of the target collateral.

[0013] Furthermore, the device also includes: a first generating unit, which is used to generate the target attribute information of the target collateral based on the target collateral when it is detected that the target collateral is mortgaged, before scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral; a second generating unit, which is used to generate the electronic tag based on the target attribute information; and a binding unit, which is used to bind the electronic tag to the target collateral.

[0014] Furthermore, the device also includes: a collection unit, which is used to collect a target collateral image corresponding to the target collateral when it is detected that the target collateral is being mortgaged, before the target category information corresponding to the target collateral is obtained by classifying the target collateral based on the target attribute information through a target classification algorithm; a recognition unit, which is used to recognize the target collateral image through a target recognition algorithm to obtain target status information corresponding to the target collateral, wherein the target status information is used to characterize whether there is an abnormality with the target collateral; a first determination unit, which is used to determine that the target collateral meets the target warehousing condition when the target status information indicates that there is no abnormality with the target collateral; and a second determination unit, which is used to determine that the target collateral does not meet the target warehousing condition when the target status information indicates that there is an abnormality with the target collateral.

[0015] Furthermore, the storage unit includes: a storage module, used to store the target collateral in the target storage area; an acquisition module, used to acquire a first current weight value corresponding to a scale corresponding to the target storage area after the target collateral is stored in the target storage area; a judgment module, used to judge whether the first current weight value and the first target weight value are equal, wherein the first target weight value is the sum of the weight value of the scale when the target collateral is not placed in it and the weight value of the target collateral in the target attribute information; a first determination module, used to determine that the warehousing processing of the target collateral has been completed when the first current weight value and the first target weight value are equal.

[0016] Furthermore, the device also includes: an extraction unit, which is used to extract the target collateral from the target storage area after storing the target collateral in the target storage area to complete the warehousing processing of the target collateral, if the target collateral meets the target out-of-warehouse conditions; an acquisition unit, which is used to acquire a second current weight value corresponding to the scale corresponding to the target storage area after extracting the target collateral from the target storage area; a judgment unit, which is used to judge whether the second current weight value and the second target weight value are equal, wherein the second target weight value is the difference between the weight value of the scale after the target collateral is placed in it and the weight value of the target collateral in the target attribute information; a third determination unit, which is used to determine that the out-of-warehouse processing of the target collateral has been completed if the second current weight value and the second target weight value are equal.

[0017] Furthermore, the device also includes: a calculation unit, which is used to, after determining whether the second current weight value and the second target weight value are equal, calculate according to the second current weight value and the second target weight value to obtain a target difference when the second current weight value and the second target weight value are not equal; a fourth determination unit, which is used to determine a target risk level according to the target difference; and a fifth determination unit, which is used to determine whether to trigger an alarm signal according to the target risk level, wherein the alarm signal is used to instruct the target object to process the target collateral.

[0018] Furthermore, the classification unit includes: a processing module, used to discretize the target attribute information to obtain processed target attribute information; a calculation module, used to perform calculations based on the processed target attribute information and multiple category information to obtain a probability value corresponding to each category information; a second determination module, used to determine the target category information corresponding to the target collateral in the multiple category information based on the probability value corresponding to each category information.

[0019] In order to achieve the above-mentioned purpose, according to one aspect of the present application, a computer-readable storage medium is provided, wherein the storage medium stores a program, wherein when the program is running, the device where the storage medium is located is controlled to execute any one of the above-mentioned collateral storage methods.

[0020] In order to achieve the above-mentioned purpose, according to another aspect of the present application, an electronic device is also provided, the electronic device includes one or more processors and a memory, and the memory is used to store the collateral storage method described in any one of the above-mentioned methods implemented by one or more processors.

[0021] Through this application, the following steps are adopted: scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; when the target collateral meets the target storage conditions, the target collateral is classified based on the target attribute information by the target classification algorithm to obtain the target category information corresponding to the target collateral; according to the target category information, the target storage area is screened out from multiple storage areas; the target collateral is stored in the target storage area to complete the storage processing of the target collateral. Through this application, the problem of low storage efficiency of the collateral in the related art caused by manual storage processing of the collateral of the financial institution is solved. In this scheme, by scanning the electronic tag of the target collateral, the target attribute information such as weight information, name information, production date information and estimated price information of the target collateral is obtained. And when the target collateral meets the target storage conditions, it is classified by the target classification algorithm, and according to the target category information corresponding to the target collateral, a suitable target storage area is selected from multiple storage areas, and it is stored in the target storage area to complete the storage processing of the target collateral. The target attribute information of the target collateral is automatically collected through the Internet of Things technology, and the target classification algorithm is used to automatically classify it based on the target attribute information to determine the target storage area suitable for the target collateral, reducing labor costs and financial risks caused by collateral quality issues. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0023] Figure 1 is a flow chart of a method for storing collateral provided in an embodiment of the present application;

[0024] Figure 2 It is a schematic diagram of a method for storing collateral provided in an embodiment of the present application;

[0025] Figure 3 is a schematic diagram of a storage device for collateral provided in an embodiment of the present application;

[0026] Figure 4 is a schematic diagram of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0028] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present application described here. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] It should be noted that the relevant information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties. For example, an interface is set up between this system and the relevant user or organization. Before obtaining relevant information, it is necessary to send an acquisition request to the aforementioned user or organization through the interface, and obtain relevant information after receiving the consent information fed back by the aforementioned user or organization.

[0031] The present invention is described below in conjunction with preferred implementation steps. Figure 1 is a flow chart of a method for storing collateral provided in an embodiment of the present application, such as Figure 1 As shown, the method comprises the following steps:

[0032] Step S101, scanning the electronic tag of the target collateral to obtain target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged.

[0033] Optionally, an RFID card reader or a scanning device with Near Field Communication (NFC) technology is brought close to an RFID tag (ie, an electronic tag) on ​​the sea cucumber (ie, the target collateral) and scanned to obtain target attribute information.

[0034] It should be noted that the target attribute information includes but is not limited to: the name, model, weight, production date and estimated price of the target collateral.

[0035] Step S102: When the target collateral meets the target storage conditions, the target collateral is classified based on the target attribute information by using a target classification algorithm to obtain target category information corresponding to the target collateral.

[0036] Optionally, when the target collateral meets the target storage conditions, the target collateral is classified based on the target attribute information of the target collateral using a naive Bayes algorithm (i.e., a target classification algorithm), and then the target type information corresponding to the target collateral is determined from multiple known category information.

[0037] Step S103, selecting a target storage area from multiple storage areas according to the target category information.

[0038] Optionally, each storage area is marked or numbered to facilitate identification and comparison of the area. According to the target category information of the target collateral, the target category to be stored is determined. The target category information is matched with the collateral in the storage area to find the area containing the target category information in the storage area. According to the matching result, the storage area containing the target category information is screened out, that is, the target storage area. The screened target storage area is further confirmed to ensure that the area meets the conditions and requirements for storing the target collateral.

[0039] Step S104, storing the target collateral in the target storage area to complete the warehousing process of the target collateral.

[0040] Optionally, in the process of storing the target collateral in the target storage area, the warehouse sensing door and image monitoring system are used for sensing and monitoring, and the warehousing process of the target collateral is tracked in real time to complete the warehousing processing of the target collateral.

[0041] In summary, by scanning the electronic tag of the target collateral, the target attribute information such as weight information, name information, production date information and estimated price information of the target collateral is obtained. When the target collateral meets the target storage conditions, it is classified using the target classification algorithm. According to the target category information corresponding to the target collateral, a suitable target storage area is selected from multiple storage areas, and it is stored in the target storage area to complete the storage processing of the target collateral. The target attribute information of the target collateral is automatically collected through the Internet of Things technology, and the target classification algorithm is used to automatically classify it based on the target attribute information to determine the target storage area suitable for the target collateral, reducing labor costs and financial risks caused by collateral quality issues.

[0042] Optionally, in the warehousing method for collateral provided in the embodiment of the present application, before scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral, the method also includes: when it is detected that the target collateral is mortgaged, generating the target attribute information of the target collateral based on the target collateral; generating an electronic tag based on the target attribute information; and binding the electronic tag to the target collateral.

[0043] In an optional embodiment, when it is detected that the target collateral is mortgaged, the target attribute information corresponding to the target collateral is generated by manual input, scanning or sensor, including but not limited to: the name, model, weight, production date and estimated price of the target collateral. And a unique electronic tag corresponding to the target collateral is generated according to the target attribute information to identify the target collateral. The electronic tag includes but is not limited to: RFID tags, QR codes and other forms. Use a reading and writing device to write the electronic tag information into the tag, or establish an association relationship between the electronic tag and the target collateral in the system to bind the electronic tag to the target collateral. After the binding process is completed, the electronic tag and the target collateral are tested and verified to ensure that the electronic tag can accurately store the target attribute information and can be correctly associated with the target collateral.

[0044] Through the above steps, when it is detected that the target collateral is mortgaged, the target attribute information and electronic tags can be generated according to the target collateral, and the electronic tags and the target collateral can be bound, which effectively improves the management efficiency of the collateral and facilitates subsequent tracking and monitoring.

[0045] Optionally, in the collateral warehousing method provided in the embodiment of the present application, before classifying the target collateral based on the target attribute information through the target classification algorithm to obtain the target category information corresponding to the target collateral, the method also includes: when it is detected that the target collateral is being mortgaged, collecting a target collateral image corresponding to the target collateral; identifying the target collateral image through the target recognition algorithm to obtain target status information corresponding to the target collateral, wherein the target status information is used to characterize whether there is an abnormality with the target collateral; when the target status information characterizes that there is no abnormality with the target collateral, determining that the target collateral meets the target warehousing conditions; when the target status information characterizes that there is an abnormality with the target collateral, determining that the target collateral does not meet the target warehousing conditions.

[0046] In an optional embodiment, when the target collateral is detected to be mortgaged, a camera or other image acquisition device is used to photograph the target collateral to obtain a target collateral image corresponding to the target collateral. And a target recognition algorithm such as a convolutional neural network, a target detection algorithm, an image segmentation algorithm, and an object tracking algorithm is used to perform feature extraction and image recognition on the target collateral image to obtain the target state information corresponding to the target collateral. According to the target state information, it is evaluated whether the target collateral is abnormal. If the target collateral is not abnormal, that is, the state is normal, it means that the target collateral meets the target storage conditions and the storage operation is performed; if the target collateral is abnormal, that is, the state is abnormal, the target collateral needs to be processed or refused to be stored.

[0047] It should be noted that the abnormal conditions of the target collateral include but are not limited to: abnormal color of the sea cucumber, insufficient elasticity of the sea cucumber, excessive mucus on the surface of the sea cucumber, incomplete shape of the sea cucumber, small size of the sea cucumber and uneven internal tissue of the sea cucumber.

[0048] Through the above steps, when it is detected that the target collateral is pledged, the target collateral image can be identified through the target recognition algorithm to obtain the target status information, so as to judge whether there is any abnormality in the target collateral and determine whether the storage conditions are met, thereby improving the management and monitoring efficiency of the target collateral and ensuring that the target collateral is in good condition.

[0049] Optionally, in the warehousing method for collateral provided in the embodiment of the present application, storing the target collateral in the target storage area to complete the warehousing processing of the target collateral includes: storing the target collateral in the target storage area; after storing the target collateral in the target storage area, obtaining a first current weight value corresponding to the scale corresponding to the target storage area; judging whether the first current weight value and the first target weight value are equal, wherein the first target weight value is the sum of the weight value of the scale when the target collateral is not placed in it and the weight value of the target collateral in the target attribute information; when the first current weight value and the first target weight value are equal, determining that the warehousing processing of the target collateral has been completed.

[0050] In an optional embodiment, after the target collateral is stored in the target storage area, the current weight value (i.e., the first current weight value) of the scale corresponding to the shelf in the target storage area for storing the target collateral is obtained, and the sum of the weight value of the scale when the target collateral is not placed in it and the weight value of the target collateral is calculated to obtain the first target weight value, and it is determined whether the first target weight value and the first current weight value are equal: if the two are equal, it means that the target collateral has been successfully and safely stored in the target storage area, and relevant information such as the warehousing time and warehousing location of the target collateral is recorded for subsequent tracking and management.

[0051] It should be noted that before determining to store the target collateral in the target storage area, it is necessary to distribute and configure the weighing scales on the shelves in the target storage area to avoid misjudgments such as alarms caused by changes in weight after the target collateral is stored in the target storage area.

[0052] It should be noted that the target collateral is grouped and managed according to the shelf number. An infrared scanning device is installed next to the shelf. When the target collateral is moved, an infrared alarm will be triggered.

[0053] Through the above steps, the target collateral can be stored in the target storage area, and after the storage is completed, the current weight value is obtained through the floor scale equipment to determine the storage status of the target collateral, ensuring that the target collateral is stored correctly.

[0054] Optionally, in the warehousing method for collateral provided in the embodiment of the present application, after storing the target collateral in the target storage area to complete the warehousing processing of the target collateral, the method also includes: extracting the target collateral from the target storage area when the target collateral meets the target out-of-warehouse conditions; after extracting the target collateral from the target storage area, obtaining a second current weight value corresponding to the scale corresponding to the target storage area; judging whether the second current weight value and the second target weight value are equal, wherein the second target weight value is the difference between the weight value of the scale after the target collateral is placed in and the weight value of the target collateral in the target attribute information; when the second current weight value and the second target weight value are equal, determining that the out-of-warehousing processing of the target collateral has been completed.

[0055] In an optional embodiment, when the payment for the collateral is settled (i.e., when the target collateral meets the target outbound conditions), the target collateral is extracted from the target storage area. The current weight value of the scale corresponding to the shelf in the target storage area for storing the target collateral (i.e., the second current weight value) is obtained, and the difference between the weight value of the scale when the target collateral is placed and the weight value of the target collateral is calculated to obtain the second target weight value, and to determine whether the second target weight value and the second current weight value are equal: if the two are equal, it means that the target collateral has been successfully and safely extracted from the target storage area, and the outbound time, outbound location and other related information of the target collateral are recorded for subsequent tracking and management.

[0056] It should be noted that before determining to extract the target collateral from the target storage area, it is necessary to locate the shelf used to store the target collateral in the target storage area based on the target attribute information of the target collateral, and cancel the floor scale weight alarm and infrared monitoring alarm of the current shelf, so that the target collateral can be automatically shipped out when passing through the warehouse scanning door.

[0057] Through the above steps, the target collateral can be extracted from the target storage area if it meets the target outbound conditions, and the weight value can be obtained through the floor scale equipment to determine the outbound status of the target collateral, thereby ensuring that the target collateral is correctly extracted.

[0058] Optionally, in the warehousing method for collateral provided in an embodiment of the present application, after determining whether the second current weight value and the second target weight value are equal, the method further includes: when the second current weight value and the second target weight value are not equal, calculating based on the second current weight value and the second target weight value to obtain a target difference; determining a target risk level based on the target difference; determining whether to trigger an alarm signal based on the target risk level, wherein the alarm signal is used to instruct the target object to process the target collateral.

[0059] In an optional embodiment, the difference between the second current weight value and the second target weight value is calculated to obtain the target difference. And according to the size and importance of the target difference, the target risk level is determined. For example, if the target difference exceeds the set threshold or exceeds the reasonable range, it may indicate that there is a higher risk and the risk level is higher; otherwise, the risk level is lower. According to the target risk level, determine whether to trigger an alarm signal. For example: if the target risk level is high, it means that there may be anomalies or risks in the outbound process of the target collateral, and an alarm signal can be triggered so as to handle and solve the problem in time. According to the alarm signal, the relevant personnel (i.e., the target object) can be notified through system notifications, alarms, etc. to take corresponding measures to handle, and investigate and solve the problem in time.

[0060] Through the above steps, the target risk level can be determined according to the target difference, and whether to trigger an alarm signal can be determined according to the risk level, so as to deal with possible problems or abnormal situations in a timely manner. This improves the monitoring and management efficiency of the target collateral and ensures the safety and integrity of the collateral.

[0061] Optionally, in the warehousing method for collateral provided in an embodiment of the present application, the target collateral is classified based on the target attribute information through a target classification algorithm to obtain target category information corresponding to the target collateral, including: discretizing the target attribute information to obtain processed target attribute information; calculating based on the processed target attribute information and multiple category information to obtain a probability value corresponding to each category information; and determining the target category information corresponding to the target collateral from multiple category information based on the probability value corresponding to each category information.

[0062] In an optional embodiment, the target attribute information is discretized to convert the continuous attribute information into discrete attribute information, for example, the numerical attribute information is segmented according to certain intervals, or the text attribute information is converted into digital attribute information. Then, the prior probability value corresponding to each category information is calculated by the naive Bayes algorithm, that is, the probability of each category information appearing in the entire data set. Then, the conditional probability is calculated, that is, the probability of each category information appearing under the condition of the given target attribute information. And the posterior probability corresponding to each category information is calculated according to the Bayesian theorem. Finally, the category information with the largest posterior probability is selected from multiple category information as the category information of the target collateral (i.e., the target category information).

[0063] By using the Naive Bayes algorithm to classify the target collateral based on the target attribute information, the target category information corresponding to the target collateral can be obtained quickly and accurately.

[0064] It should be noted that Figure 2 Schematic diagram of the method for storing collateral provided in the embodiment of the present application. Figure 2 As shown, the electronic tag of the target collateral is scanned to obtain the target attribute information of the target collateral. When the target collateral meets the target storage conditions, the target collateral is classified based on the target attribute information through the target classification algorithm to obtain the target category information corresponding to the target collateral. According to the target category information, a target storage area suitable for the target collateral is screened out from multiple storage areas, and the target collateral is stored in the target storage area to complete the storage processing of the target collateral. When the target collateral meets the target out-of-warehouse conditions, the target collateral is extracted from the target storage area to complete the out-of-warehouse processing of the target collateral.

[0065] The collateral storage method provided by the embodiment of the present application scans the electronic tag of the target collateral to obtain the target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; when the target collateral meets the target storage conditions, the target collateral is classified based on the target attribute information by the target classification algorithm to obtain the target category information corresponding to the target collateral; according to the target category information, the target storage area is screened out from multiple storage areas; the target collateral is stored in the target storage area to complete the storage processing of the target collateral, which solves the problem that the collateral of the financial institution is manually processed for storage in the related technology, resulting in a relatively low efficiency of the storage processing of the collateral. In summary, in this scheme, by scanning the electronic tag of the target collateral, the target attribute information such as weight information, name information, production date information and estimated price information about the target collateral is obtained. And when the target collateral meets the target storage conditions, it is classified by the target classification algorithm, and according to the target category information corresponding to the target collateral, a suitable target storage area is selected from multiple storage areas, and it is stored in the target storage area to complete the storage processing of the target collateral. The target attribute information of the target collateral is automatically collected through the Internet of Things technology, and the target classification algorithm is used to automatically classify it based on the target attribute information to determine the target storage area suitable for the target collateral, reducing labor costs and financial risks caused by collateral quality issues.

[0066] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0067] The embodiment of the present application also provides a collateral storage device. It should be noted that the collateral storage device of the embodiment of the present application can be used to execute the collateral storage method provided by the embodiment of the present application. The collateral storage device provided by the embodiment of the present application is introduced below.

[0068] Figure 3 Schematic diagram of a storage device for collateral according to an embodiment of the present application. Figure 3 As shown, the device includes: a scanning unit 301, a classification unit 302, a screening unit 303, and a storage unit 304.

[0069] The scanning unit 301 is used to scan the electronic tag of the target collateral to obtain the target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged;

[0070] The classification unit 302 is used to classify the target collateral based on the target attribute information by using a target classification algorithm to obtain target category information corresponding to the target collateral when the target collateral meets the target storage conditions;

[0071] A screening unit 303, configured to screen out a target storage area from the plurality of storage areas according to the target category information;

[0072] The storage unit 304 is used to store the target collateral in the target storage area to complete the storage process of the target collateral.

[0073] The warehousing device for collateral provided in the embodiment of the present application comprises a scanning unit 301 which scans the electronic tag of the target collateral to obtain the target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; the classification unit 302 classifies the target collateral based on the target attribute information by a target classification algorithm when the target collateral meets the target warehousing conditions to obtain the target category information corresponding to the target collateral; the screening unit 303 screens out the target storage area from multiple storage areas according to the target category information; the storage unit 304 stores the target collateral in the target storage area to complete the warehousing process of the target collateral. The problem that the warehousing process of the collateral of the financial institution is carried out manually in the related art is solved, resulting in a relatively low efficiency of the warehousing process of the collateral. In this scheme, by scanning the electronic tag of the target collateral, target attribute information such as weight information, name information, production date information and estimated price information about the target collateral is obtained. When the target collateral meets the target storage conditions, it is classified using the target classification algorithm. According to the target category information corresponding to the target collateral, a suitable target storage area is selected from multiple storage areas, and it is stored in the target storage area to complete the storage processing of the target collateral. The target attribute information of the target collateral is automatically collected through the Internet of Things technology, and the target classification algorithm is used to automatically classify it based on the target attribute information to determine the target storage area suitable for the target collateral, reducing labor costs and financial risks caused by collateral quality issues.

[0074] Optionally, in the warehousing device for collateral provided in the embodiment of the present application, the device also includes: a first generating unit, which is used to generate target attribute information of the target collateral based on the target collateral when it is detected that the target collateral is being mortgaged, before scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral; a second generating unit, which is used to generate an electronic tag based on the target attribute information; and a binding unit, which is used to bind the electronic tag to the target collateral.

[0075] Optionally, in the collateral warehousing device provided in the embodiment of the present application, the device also includes: a collection unit, which is used to classify the target collateral based on the target attribute information through the target classification algorithm to obtain the target category information corresponding to the target collateral, when it is detected that the target collateral is being mortgaged, to collect the target collateral image corresponding to the target collateral; an identification unit, which is used to identify the target collateral image through the target identification algorithm to obtain the target status information corresponding to the target collateral, wherein the target status information is used to characterize whether there is an abnormality in the target collateral; a first determination unit, which is used to determine that the target collateral meets the target warehousing condition when the target status information indicates that there is no abnormality in the target collateral; and a second determination unit, which is used to determine that the target collateral does not meet the target warehousing condition when the target status information indicates that there is an abnormality in the target collateral.

[0076] Optionally, in the warehousing device for collateral provided in the embodiment of the present application, the storage unit includes: a storage module, used to store the target collateral in a target storage area; an acquisition module, used to acquire a first current weight value corresponding to a scale corresponding to the target storage area after the target collateral is stored in the target storage area; a judgment module, used to judge whether the first current weight value and the first target weight value are equal, wherein the first target weight value is the sum of the weight value of the scale when the target collateral is not placed in it and the weight value of the target collateral in the target attribute information; a first determination module, used to determine that the warehousing processing of the target collateral has been completed when the first current weight value and the first target weight value are equal.

[0077] Optionally, in the warehousing device for collateral provided in the embodiment of the present application, the device also includes: an extraction unit, which is used to, after storing the target collateral in the target storage area to complete the warehousing processing of the target collateral, extract the target collateral from the target storage area if the target collateral meets the target out-of-warehouse conditions; an acquisition unit, which is used to acquire a second current weight value corresponding to the scale corresponding to the target storage area after extracting the target collateral from the target storage area; a judgment unit, which is used to judge whether the second current weight value and the second target weight value are equal, wherein the second target weight value is the difference between the weight value of the scale after the target collateral is placed in it and the weight value of the target collateral in the target attribute information; a third determination unit, which is used to determine that the out-of-warehousing processing of the target collateral has been completed if the second current weight value and the second target weight value are equal.

[0078] Optionally, in the warehousing device for collateral provided in the embodiment of the present application, the device also includes: a calculation unit, used for, after determining whether the second current weight value and the second target weight value are equal, if the second current weight value and the second target weight value are not equal, performing calculation based on the second current weight value and the second target weight value to obtain a target difference; a fourth determination unit, used for determining a target risk level based on the target difference; and a fifth determination unit, used for determining whether to trigger an alarm signal based on the target risk level, wherein the alarm signal is used to instruct the target object to process the target collateral.

[0079] Optionally, in the warehousing device for collateral provided in the embodiment of the present application, the classification unit includes: a processing module, used to discretize the target attribute information to obtain the processed target attribute information; a calculation module, used to perform calculations based on the processed target attribute information and multiple category information to obtain a probability value corresponding to each category information; a second determination module, used to determine the target category information corresponding to the target collateral in multiple category information based on the probability value corresponding to each category information.

[0080] The collateral storage device includes a processor and a memory. The first determination unit 301, the second determination unit 302, the third determination unit 303, the first change unit 304, etc. are all stored in the memory as program units. The processor executes the program units stored in the memory to achieve efficient storage of the collateral.

[0081] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and the efficient storage of collateral can be achieved by adjusting the kernel parameters.

[0082] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0083] An embodiment of the present invention provides a computer-readable storage medium on which a program is stored. When the program is executed by a processor, a method for storing collateral is implemented.

[0084] An embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes a method for storing collateral when the program is running.

[0085] like Figure 4As shown, an embodiment of the present invention provides an electronic device, the device includes a processor, a memory, and a program stored in the memory and executable on the processor, and the processor implements the following steps when executing the program: scanning an electronic tag of a target collateral to obtain target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; in the case where the target collateral meets the target warehousing conditions, classifying the target collateral based on the target attribute information through a target classification algorithm to obtain target category information corresponding to the target collateral; based on the target category information, screening out a target storage area from multiple storage areas; and storing the target collateral in the target storage area to complete the warehousing processing of the target collateral.

[0086] Optionally, before scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral, the method also includes: when it is detected that the target collateral is mortgaged, generating the target attribute information of the target collateral based on the target collateral; generating an electronic tag based on the target attribute information; and binding the electronic tag to the target collateral.

[0087] Optionally, before classifying the target collateral based on the target attribute information through the target classification algorithm to obtain the target category information corresponding to the target collateral, the method also includes: when it is detected that the target collateral is pledged, collecting a target collateral image corresponding to the target collateral; recognizing the target collateral image through the target recognition algorithm to obtain target status information corresponding to the target collateral, wherein the target status information is used to characterize whether there is an abnormality with the target collateral; when the target status information characterizes that there is no abnormality with the target collateral, determining that the target collateral meets the target warehousing conditions; when the target status information characterizes that there is an abnormality with the target collateral, determining that the target collateral does not meet the target warehousing conditions.

[0088] Optionally, storing the target collateral in a target storage area to complete the warehousing processing of the target collateral includes: storing the target collateral in a target storage area; after storing the target collateral in the target storage area, obtaining a first current weight value corresponding to a scale corresponding to the target storage area; determining whether the first current weight value and a first target weight value are equal, wherein the first target weight value is the sum of the weight value of the scale when the target collateral is not placed therein and the weight value of the target collateral in the target attribute information; when the first current weight value and the first target weight value are equal, determining that the warehousing processing of the target collateral has been completed.

[0089] Optionally, after storing the target collateral in the target storage area to complete the warehousing processing of the target collateral, the method also includes: extracting the target collateral from the target storage area when the target collateral meets the target outbound conditions; after extracting the target collateral from the target storage area, obtaining a second current weight value corresponding to the scale corresponding to the target storage area; judging whether the second current weight value is equal to a second target weight value, wherein the second target weight value is the difference between the weight value of the scale after the target collateral is placed therein and the weight value of the target collateral in the target attribute information; when the second current weight value and the second target weight value are equal, determining that the outbound processing of the target collateral has been completed.

[0090] Optionally, after determining whether the second current weight value and the second target weight value are equal, the method further includes: when the second current weight value and the second target weight value are not equal, calculating based on the second current weight value and the second target weight value to obtain a target difference; determining a target risk level based on the target difference; and determining whether to trigger an alarm signal based on the target risk level, wherein the alarm signal is used to instruct the target object to process the target collateral.

[0091] Optionally, the target collateral is classified based on the target attribute information through a target classification algorithm to obtain target category information corresponding to the target collateral, including: discretizing the target attribute information to obtain processed target attribute information; performing calculations based on the processed target attribute information and multiple category information to obtain probability values ​​corresponding to each category information; and determining the target category information corresponding to the target collateral from multiple category information based on the probability values ​​corresponding to each category information.

[0092] The devices in this article can be servers, PCs, PADs, mobile phones, etc.

[0093] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing a program that is initialized with the following method steps: scanning an electronic tag of a target collateral to obtain target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; when the target collateral meets the target warehousing conditions, classifying the target collateral based on the target attribute information through a target classification algorithm to obtain target category information corresponding to the target collateral; based on the target category information, screening out a target storage area from multiple storage areas; and storing the target collateral in the target storage area to complete the warehousing processing of the target collateral.

[0094] Optionally, before scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral, the method also includes: when it is detected that the target collateral is mortgaged, generating the target attribute information of the target collateral based on the target collateral; generating an electronic tag based on the target attribute information; and binding the electronic tag to the target collateral.

[0095] Optionally, before classifying the target collateral based on the target attribute information through the target classification algorithm to obtain the target category information corresponding to the target collateral, the method also includes: when it is detected that the target collateral is pledged, collecting a target collateral image corresponding to the target collateral; recognizing the target collateral image through the target recognition algorithm to obtain target status information corresponding to the target collateral, wherein the target status information is used to characterize whether there is an abnormality with the target collateral; when the target status information characterizes that there is no abnormality with the target collateral, determining that the target collateral meets the target warehousing conditions; when the target status information characterizes that there is an abnormality with the target collateral, determining that the target collateral does not meet the target warehousing conditions.

[0096] Optionally, storing the target collateral in a target storage area to complete the warehousing processing of the target collateral includes: storing the target collateral in a target storage area; after storing the target collateral in the target storage area, obtaining a first current weight value corresponding to a scale corresponding to the target storage area; determining whether the first current weight value and a first target weight value are equal, wherein the first target weight value is the sum of the weight value of the scale when the target collateral is not placed therein and the weight value of the target collateral in the target attribute information; when the first current weight value and the first target weight value are equal, determining that the warehousing processing of the target collateral has been completed.

[0097] Optionally, after storing the target collateral in the target storage area to complete the warehousing processing of the target collateral, the method also includes: extracting the target collateral from the target storage area when the target collateral meets the target outbound conditions; after extracting the target collateral from the target storage area, obtaining a second current weight value corresponding to the scale corresponding to the target storage area; judging whether the second current weight value is equal to a second target weight value, wherein the second target weight value is the difference between the weight value of the scale after the target collateral is placed therein and the weight value of the target collateral in the target attribute information; when the second current weight value and the second target weight value are equal, determining that the outbound processing of the target collateral has been completed.

[0098] Optionally, after determining whether the second current weight value and the second target weight value are equal, the method further includes: when the second current weight value and the second target weight value are not equal, calculating based on the second current weight value and the second target weight value to obtain a target difference; determining a target risk level based on the target difference; and determining whether to trigger an alarm signal based on the target risk level, wherein the alarm signal is used to instruct the target object to process the target collateral.

[0099] Optionally, the target collateral is classified based on the target attribute information through a target classification algorithm to obtain target category information corresponding to the target collateral, including: discretizing the target attribute information to obtain processed target attribute information; performing calculations based on the processed target attribute information and multiple category information to obtain probability values ​​corresponding to each category information; and determining the target category information corresponding to the target collateral from multiple category information based on the probability values ​​corresponding to each category information.

[0100] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0101] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0102] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0103] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0104] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0105] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0106] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0107] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0108] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0109] The above are only embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included within the scope of the claims of the present application.

Claims

1. A method for storing collateral, characterized in that: include: Scanning the electronic tag of the target collateral to obtain target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; In the case where the target collateral meets the target storage conditions, the target collateral is classified based on the target attribute information by using a target classification algorithm to obtain target category information corresponding to the target collateral; According to the target category information, selecting a target storage area from multiple storage areas; The target collateral is stored in the target storage area to complete the warehousing process of the target collateral.

2. The method according to claim 1, characterized in that Before scanning the electronic tag of the target collateral to obtain the target attribute information of the target collateral, the method further includes: When it is detected that the target collateral is mortgaged, generating target attribute information of the target collateral according to the target collateral; generating the electronic tag according to the target attribute information; The electronic tag is bound to the target collateral.

3. The method according to claim 1, characterized in that Before classifying the target collateral based on the target attribute information by using a target classification algorithm to obtain target category information corresponding to the target collateral, the method further includes: When it is detected that the target collateral is mortgaged, a target collateral image corresponding to the target collateral is collected; Identify the target collateral image by using a target recognition algorithm to obtain target status information corresponding to the target collateral, wherein the target status information is used to indicate whether the target collateral has any abnormality; When the target state information indicates that there is no abnormality in the target collateral, determining that the target collateral meets the target storage condition; When the target status information indicates that the target collateral is abnormal, it is determined that the target collateral does not meet the target storage condition.

4. The method according to claim 1, characterized in that: Storing the target collateral in the target storage area to complete the storage process of the target collateral includes: Storing the target collateral in the target storage area; After storing the target collateral in the target storage area, obtaining a first current weight value corresponding to a scale corresponding to the target storage area; Determine whether the first current weight value is equal to a first target weight value, wherein the first target weight value is the sum of the weight value of the scale when the target collateral is not placed therein and the weight value of the target collateral in the target attribute information; When the first current weight value is equal to the first target weight value, it is determined that the warehousing process for the target collateral has been completed.

5. The method according to claim 1, characterized in that After storing the target collateral in the target storage area to complete the storage process of the target collateral, the method further includes: When the target collateral meets the target warehouse-out conditions, the target collateral is extracted from the target storage area; After the target collateral is extracted from the target storage area, obtaining a second current weight value corresponding to the scale corresponding to the target storage area; Determine whether the second current weight value is equal to a second target weight value, wherein the second target weight value is the difference between the weight value of the scale after the target collateral is placed therein and the weight value of the target collateral in the target attribute information; When the second current weight value is equal to the second target weight value, it is determined that the outbound processing of the target collateral has been completed.

6. The method according to claim 5, characterized in that After determining whether the second current weight value is equal to the second target weight value, the method further includes: When the second current weight value and the second target weight value are not equal, calculating according to the second current weight value and the second target weight value to obtain a target difference value; Determining a target risk level based on the target difference; Determine whether to trigger an alarm signal based on the target risk level, wherein the alarm signal is used to instruct the target object to process the target collateral.

7. The method according to claim 1, characterized in that The target collateral is classified based on the target attribute information by a target classification algorithm, and the target category information corresponding to the target collateral is obtained, including: Discretizing the target attribute information to obtain processed target attribute information; Calculating based on the processed target attribute information and multiple category information to obtain a probability value corresponding to each category information; According to the probability value corresponding to each category information, the target category information corresponding to the target collateral is determined from the multiple category information.

8. A collateral storage device, characterized in that: include: A scanning unit, used to scan an electronic tag of a target collateral to obtain target attribute information of the target collateral, wherein the electronic tag is generated when the target collateral is mortgaged; A classification unit, configured to classify the target collateral based on the target attribute information by using a target classification algorithm to obtain target category information corresponding to the target collateral when the target collateral meets the target storage condition; A screening unit, configured to screen out a target storage area from a plurality of storage areas according to the target category information; The storage unit is used to store the target collateral in the target storage area to complete the warehousing process of the target collateral.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the storage medium is controlled to execute the collateral storage method according to any one of claims 1 to 7 on a device.

10. An electronic device, characterized in that: It includes one or more processors and a memory, wherein the memory is used to store one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the collateral storage method described in any one of claims 1 to 7.

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