CN111476949B - Safe storage system based on data association - Google Patents
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- CN111476949B CN111476949B CN202010260438.9A CN202010260438A CN111476949B CN 111476949 B CN111476949 B CN 111476949B CN 202010260438 A CN202010260438 A CN 202010260438A CN 111476949 B CN111476949 B CN 111476949B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F17/00—Coin-freed apparatus for hiring articles; Coin-freed facilities or services
- G07F17/10—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property
- G07F17/12—Coin-freed apparatus for hiring articles; Coin-freed facilities or services for means for safe-keeping of property, left temporarily, e.g. by fastening the property comprising lockable containers, e.g. for accepting clothes to be cleaned
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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Abstract
The invention relates to a data association-based safe storage system, which is characterized in that: the system comprises a management center and a plurality of storage cabinets connected with the management center, wherein each storage cabinet is provided with a plurality of storage units, each storage unit is used for storing articles, each storage unit is provided with a weight acquisition device and an image acquisition device, the weight acquisition devices are used for acquiring the weight of the articles in the storage units to generate weight information, and the image acquisition devices are used for acquiring the image information in the storage units; the storage cabinet is provided with the information input equipment and the front end verification subsystem, the management center is provided with the rear end verification subsystem, the system design can replace manual verification, and the condition that articles and reality do not correspond due to manual errors cannot occur.
Description
Technical Field
The invention relates to the field of storage systems, in particular to a safe storage system based on data association.
Background
The storage cabinet is generally divided into a household storage cabinet, a business storage cabinet and the like, and is mainly used for facilitating the use of people, storing different articles and classifying the articles. And to the less family in space or dormitory, more indispensable article, can make full use of the space and hold more articles for daily use, the decoration people's environment at home that moreover also can be fine. With the improvement of the mechanical safety of the storage cabinet, in places such as a delivery department, a court and the like, the storage of a plurality of sensitive articles is required to be confidential and safe, and the custodian needs to be strongly restricted. For example, when a judge stores a case file, in order to prevent other staff from interfering with the case, confidential storage is required, non-case-responsible judges cannot check the case, but the case-responsible judges similarly involve physical distribution deposit, and at present, all safety guarantee is realized through manual supervision and inspection, so that firstly, the cost is high, and secondly, the safety is influenced by the existence of an error rate.
Disclosure of Invention
In view of the above, the present invention provides a data association-based secure storage system.
In order to solve the technical problems, the technical scheme of the invention is as follows: a safe storage system based on data association comprises a management center and a plurality of storage cabinets connected to the management center, wherein each storage cabinet is provided with a plurality of storage units, each storage unit is used for storing articles, each storage unit is provided with a weight acquisition device and an image acquisition device, the weight acquisition devices are used for acquiring the weight of the articles in the storage units to generate weight information, and the image acquisition devices are used for acquiring the image information in the storage units; the storage cabinet is provided with an information input device and a front-end verification subsystem, and the management center is provided with a rear-end verification subsystem;
the information input equipment is used for inputting storage information, and the storage information comprises storage person information, article type information and article weight information;
the front-end verification subsystem is configured with a verification distribution strategy and a front-end verification strategy, the verification distribution strategy distributes corresponding storage units according to the received storage information and controls the storage units to be opened; when a user puts a corresponding article into the article storage unit and the article storage unit is in a closed state, executing the front-end verification strategy, wherein the front-end verification strategy comprises a type verification step and a weight verification step, the type verification step comprises the steps of acquiring image information of the article storage unit as an image to be compared through the image acquisition device, generating a comparison condition and a corresponding comparison strategy according to the article type information, judging whether the image to be compared meets the comparison condition or not through the comparison strategy, outputting a first success result if the comparison condition is met, and outputting a first failure result if the comparison condition is not met; the weight verification step comprises the steps that the weight information of the storage unit is collected through the weight collecting device to serve as a measured weight value, a reference weight range is generated according to the weight information of the article and the type information of the article, when the measured weight value falls into the reference weight range, a second success result is output, and when the measured weight value is out of the reference weight range, a second failure result is output; when the front-end verification strategy simultaneously outputs a first success result and a second success result, the verification is finished;
when the front-end strategy outputs a first failure result, packaging the article type information and the image to be compared to generate re-verification information and sending the re-verification information to the back-end verification subsystem; when the front-end strategy outputs a second failure result, the verification fails;
the back-end verification subsystem comprises a manual verification strategy, when the re-verification information is received, the manual verification strategy comprises outputting the re-verification information, waiting for a manual verification result and sending the received manual verification result to the corresponding storage cabinet, and when the manual verification result is passed, the verification is finished; and when the manual verification result is that the verification fails, the verification fails.
Further: the front-end verification subsystem is also configured with an identity verification strategy, and the identity verification strategy is used for verifying the information of the memory persons.
Further: the front-end verification subsystem is also provided with a front-end type database, the front-end type database stores article types and corresponding comparison information, the comparison information comprises comparison conditions and corresponding comparison strategies, and the front-end verification strategies acquire the comparison information from the front-end type database by taking the article type information as an index.
Further: the rear-end verification subsystem is configured with a rear-end verification strategy, when re-verification information is received, the rear-end verification strategy is executed, the rear-end verification strategy comprises a comparison condition and a corresponding comparison strategy generated according to the article type information, whether an image to be compared meets the comparison condition is judged through the comparison strategy, if the comparison condition is met, a rear-end verification result is output and sent to a corresponding storage cabinet, and when the rear-end verification result is passed, verification is finished; and when the back-end verification result is failed, the verification fails.
Further: the back-end verification subsystem is configured with a back-end type database, the back-end type database stores article types and corresponding comparison information, the comparison information comprises comparison conditions and corresponding comparison strategies, and the back-end verification strategies acquire the comparison information from the front-end type database by taking the article type information as an index.
Further: the comparison strategy comprises the steps of calling a plurality of reference images, comparing the images to be compared with the reference images through an image comparison algorithm to obtain similar values, and when the similar values are larger than a preset similar threshold value, determining that the corresponding comparison conditions are met.
Further: the comparison strategy comprises the steps of calling reference features, traversing the pictures to be compared, and judging that corresponding comparison conditions are met when the reference features exist in the pictures to be compared.
Further: each image acquisition device of storing unit is provided with two at least.
Further: the information entry equipment comprises RFID identification entry equipment and manual entry equipment.
Further: the distribution mode in the verification distribution strategy is random distribution.
The technical effects of the invention are mainly reflected in the following aspects: through the arrangement, firstly, two contents of weight detection and image detection are arranged in the storage unit, so that the track of each input object is clear and complete, the traditional naked eye verification is replaced by an image comparison mode, more importantly, the images are compared and configured in the storage unit, the storage is considered to be finished after the process cannot be interfered and the verification is successful, the cabinet is kept locked, the system design can replace manual verification, and the condition that the objects and the reality do not correspond due to manual errors can be avoided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1: the system topology of the invention;
FIG. 2: the system of the invention is a flow chart.
Description of the drawings: 1. a management center; 11. a back-end verification subsystem; 2. a storage cabinet; 21. a storage unit; 212. a weight collection device; 211. an image acquisition device; 22. an information input device; 23. And a front-end checking subsystem.
Detailed Description
The following detailed description of the embodiments of the present invention is provided in order to make the technical solution of the present invention easier to understand and understand.
A safe storage system based on data association comprises a management center 1 and a plurality of storage cabinets 2 connected to the management center 1, wherein each storage cabinet 2 is provided with a plurality of storage units 21, each storage unit 21 is used for storing articles, each storage unit 21 is provided with a weight acquisition device 212 and an image acquisition device 211, the weight acquisition device 212 is used for acquiring the weight of the articles in the storage unit 21 to generate weight information, and the image acquisition device 211 is used for acquiring the image information in the storage unit 21; the storage cabinet 2 is configured with an information input device 22 and a front-end verification subsystem 23, and the management center 1 is configured with a rear-end verification subsystem 11; firstly, the core of the design of the invention lies in verifying the article, and the verifying the article is through two aspects, the image of the article and the weight of the article, and is different from the traditional image verification or weight comparison mode, the design element lies in that as long as the article is not put into the storage unit 21 in the verification process, no matter how to verify, the risk may occur in the storage of the next stage, so the verification is performed only in the storage unit (which is closed) state, the consistency of the stored articles can be ensured most, the storage unit can refer to the common storage cabinet 2, the size can be different, the structure in the storage space can be set according to the requirements, which is not the design point of the invention, so the invention is not limited, the storage unit only needs to provide the storage space and has the electric control locking function, and the design of the storage unit in the prior art can be referred to, here again, no expansion is done. The storage unit cabinet is connected with the management center 1 in a data networking mode, so that information management and special condition processing are facilitated, the information input device 22 is used for inputting storage information, and the storage information comprises storage person information, article type information and article weight information; information input device 22 the information entry devices include RFID identification entry devices as well as manual entry devices. The RFID identification can identify the document information such as an identification card, and the manual entry is convenient for inputting information such as a password, and the information input device 22 is not limited to the above, but may also be a biological acquisition device, an image acquisition device, and the like, and may be configured according to the requirements of an actual storage architecture, and may load information in a manner of introducing fingerprint identification and iris identification for security, and this information storage is intended to realize track tracking and unified management of information, and the storage cabinet 2 itself has the functions of data collection and data processing, and is realized by a front-end verification subsystem, specifically as follows:
the front-end verification subsystem 23 is configured with a verification distribution policy and a front-end verification policy, and the front-end verification subsystem 23 is further configured with an identity verification policy, which is used for verifying the information of the storage person. The verification distribution strategy distributes the corresponding storage units 21 according to the received storage information and controls the storage units 21 to be opened; the distribution mode may be random, or may be based on the inputted weight information, type information, or identity information of the storage person, and since the storage units may be arranged differently, different storage units may be selected according to the occupied space and the difference of the internal structure and material of the storage unit, or corresponding storage units may be configured according to the storage person, which is not limited in the present invention.
When a user puts a corresponding article into the storage unit 21 and the storage unit 21 is in a closed state, executing the front-end verification strategy comprising a type verification step and a weight verification step; since the storage unit 21 is in the closed state, that is, when the article cannot be taken out from the storage unit 21, the authentication is performed, and the authentication mainly includes the type and the weight, for example, the types of the document, the food, and the like are different, the acquired image information is also different, and it should be noted that although the authentication methods of the image information are adopted, different types of authentication methods may be different, which will be described below, and the number of the image acquisition devices 211 in the storage unit may be set according to the requirement, so as to acquire the required characteristics for authenticating the type. The type verification step comprises the steps of acquiring image information of the storage unit 21 as an image to be compared through the image acquisition device 211, generating a comparison condition and a corresponding comparison strategy according to the article type information, judging whether the image to be compared meets the comparison condition through the comparison strategy, outputting a first success result if the comparison condition is met, and outputting a first failure result if the comparison condition is not met; the weight verification step comprises the steps of acquiring weight information of the storage unit 21 as an actually measured weight value through the weight acquisition device 212, generating a reference weight range according to the article weight information and the article type information, outputting a second success result when the actually measured weight value falls into the reference weight range, and outputting a second failure result when the actually measured weight value is out of the reference weight range; when the front-end verification strategy simultaneously outputs a first success result and a second success result, the verification is finished; from the above, it can be seen that the actual stored article is verified based on the data entered by the depositor, and if both match, the verification is successful.
When the front-end strategy outputs a first failure result, packaging the article type information and the image to be compared to generate re-verification information and sending the re-verification information to the back-end verification subsystem 11; when the front-end strategy outputs a second failure result, the verification fails; if the type and the picture information are not in accordance, two situations exist, namely, the file of the type cannot be identified, and secondly, the picture storage is distorted or has errors, so that secondary identification can be performed through the back-end verification subsystem 11. The front-end verification subsystem 23 is further configured with a front-end type database, the front-end type database stores article types and corresponding comparison information, the comparison information includes comparison conditions and corresponding comparison strategies, and the front-end verification strategies acquire the comparison information from the front-end type database by using the article type information as an index.
The back-end verification subsystem 11 comprises a manual verification strategy, when the re-verification information is received, the manual verification strategy comprises outputting the re-verification information, waiting for a manual verification result and sending the received manual verification result to the corresponding storage cabinet 2, and when the manual verification result is passed, the verification is finished; and when the manual verification result is that the verification fails, the verification fails. The back-end verification subsystem 11 is configured with a back-end verification strategy, executes the back-end verification strategy when re-verification information is received, and the back-end verification strategy comprises a comparison condition and a corresponding comparison strategy generated according to the article type information, judges whether an image to be compared meets the comparison condition or not through the comparison strategy, outputs a back-end verification result if the comparison condition is met, and sends the back-end verification result to the corresponding storage cabinet 2, and completes verification when the back-end verification result is passed; and when the back-end verification result is failed, the verification fails. The back-end verification subsystem 11 is configured with a back-end type database, the back-end type database stores article types and corresponding comparison information, the comparison information includes comparison conditions and corresponding comparison strategies, and the back-end verification strategies acquire the comparison information from the front-end type database by using the article type information as an index. The difference between the backend verification and the frontend verification lies in that the backend database and the computing power and storage capacity are superior to the frontend, and manual verification can be added to the backend, so that a better verification effect can be achieved under any condition to complete verification.
Another core content of the present invention is described below, namely, the step of comparing the types of articles, whether the front end verification or the back end verification, the comparison policy and the comparison condition are different, which is listed as three cases below, 1, for example, formatting a file pocket, the placement mode results in easy prediction of the acquired images, that is, if the articles are placed in the same type, the similarity between the images captured by multiple times of placement is very close, the following settings are set: the comparison strategy comprises the steps of calling a plurality of reference images, comparing the images to be compared with the reference images through an image comparison algorithm to obtain similar values, and when the similar values are larger than a preset similar threshold value, determining that the corresponding comparison conditions are met. 2. For example, a component with specific characteristics, such as a pistol, a blower, etc., the comparison strategy includes retrieving a reference characteristic, traversing the to-be-compared picture, and considering that a corresponding comparison condition is satisfied when the reference characteristic exists in the to-be-compared picture. 3. The bar code can be attached to the article or the existing bar code on the article can be identified through the picture, and the verification can be carried out through the bar code information. The verification method is not limited, and as can be seen from the above, the implementation of the verification method needs support of a large amount of basic data in the database, and the data needs a large computational effort, so the yield can be improved by the back-end secondary verification method.
As shown in fig. 2, firstly, a storage person enters information of an article, then the article is placed in a configured storage unit, then the storage unit is locked, weight and image information are obtained, then the front end performs verification, if the weight does not correspond to the weight, the above steps are directly failed, the above steps are repeated, if the article type does not correspond to the weight, the article type is returned to the management center 1 for processing, the management center 1 performs verification once again through a manual or back end database, if the verification fails, data is returned and the above steps are repeated, if the verification is successful, the verification is completed, and if the article type and the article weight both correspond to each other, the verification is completed.
Other parts of the system are described below, the system at least comprises a management center 1 and a plurality of storage cabinets 2, and a plurality of storage units 21 are arranged in each storage cabinet 2; each storage unit 21 of the storage cabinet 2 is provided with an electronic biological coded lock; each storage unit 21 of the storage cabinet 2 has an electronic biological code which is a biological feature generated based on a fingerprint, a face, an iris and the like of a user; each storage unit 21 of the storage cabinet 2 is provided with a high-precision electronic weighing meter; each storage unit 21 of the storage cabinet 2 has a unique electronic ID address, and the management center 1 takes the unique electronic ID address as a system identifier; all users need to register in the management center 1, and collect the biological characteristic information of each user, including fingerprint, face, iris, etc., and store in the management center 1 database in an encryption manner as the information of identity authentication; the management center 1 can record the weight of the articles placed in each storage unit 21 of each storage cabinet 2 in a weighing mode, and judge whether the storage unit 21 is empty; in one embodiment, when a user requests a new cabinet, the management center 1 randomly allocates one of all empty storage units 21 of a certain storage cabinet 2 for use; the user can apply for using a plurality of new cabinets; each access of the user to the storage unit 21 is completed through the registered biological information; the user can randomly access each storage unit 21 under the current name, and the actions of opening the storage unit 21, taking part or all of articles, closing the storage unit 21 and the like are included; each access information and access track of the visitor to each storage unit 21, including the biological information of the visitor, opening the storage unit 21, taking part or all of the articles, closing the storage unit 21, opening and closing the cabinet, and each change in the weight of the articles in the cabinet after opening and closing the storage unit 21, are recorded in the database of the management center 1 by the management center 1 in an encrypted manner.
The above are only typical examples of the present invention, and besides, the present invention may have other embodiments, and all the technical solutions formed by equivalent substitutions or equivalent changes are within the scope of the present invention as claimed.
Claims (10)
1. A safe storing system based on data are related which characterized in that: the system comprises a management center and a plurality of storage cabinets connected with the management center, wherein each storage cabinet is provided with a plurality of storage units, each storage unit is used for storing articles, each storage unit is provided with a weight acquisition device and an image acquisition device, the weight acquisition devices are used for acquiring the weight of the articles in the storage units to generate weight information, and the image acquisition devices are used for acquiring the image information in the storage units; the storage cabinet is provided with an information input device and a front-end verification subsystem, and the management center is provided with a rear-end verification subsystem;
the information input equipment is used for inputting storage information, and the storage information comprises storage person information, article type information and article weight information;
the front-end verification subsystem is configured with a verification distribution strategy and a front-end verification strategy, the verification distribution strategy distributes corresponding storage units according to the received storage information and controls the storage units to be opened; when a user puts a corresponding article into the article storage unit and the article storage unit is in a closed state, executing a front-end verification strategy, wherein the front-end verification strategy comprises a type verification step and a weight verification step, the type verification step comprises the steps of acquiring image information of the article storage unit as an image to be compared through the image acquisition device, generating a comparison condition and a corresponding comparison strategy according to the article type information, judging whether the image to be compared meets the comparison condition or not through the comparison strategy, outputting a first success result if the comparison condition is met, and outputting a first failure result if the comparison condition is not met; the weight verification step comprises the steps that the weight information of the storage unit is collected through the weight collecting device to serve as a measured weight value, a reference weight range is generated according to the weight information of the article and the type information of the article, when the measured weight value falls into the reference weight range, a second success result is output, and when the measured weight value is out of the reference weight range, a second failure result is output; when the front-end verification strategy simultaneously outputs a first success result and a second success result, the verification is finished;
when the front-end verification strategy outputs a first failure result, packaging the article type information and the image to be compared to generate re-verification information and sending the re-verification information to the back-end verification subsystem; when the front-end verification strategy outputs a second failure result, the verification fails;
the back-end checking subsystem comprises a manual checking strategy, when the re-verification information is received, the manual checking strategy comprises outputting the re-verification information, waiting for a manual checking result and sending the received manual checking result to the corresponding storage cabinet, and when the manual checking result is passed, the checking is finished; and when the manual verification result is that the verification fails, the verification fails.
2. The data association-based secure storage system of claim 1, wherein: the front-end verification subsystem is also configured with an identity verification strategy, and the identity verification strategy is used for verifying the information of the memory persons.
3. The data association-based secure storage system of claim 1, wherein: the front-end verification subsystem is also provided with a front-end type database, the front-end type database stores article types and corresponding comparison information, the comparison information comprises comparison conditions and corresponding comparison strategies, and the front-end verification strategies acquire the comparison information from the front-end type database by taking the article type information as an index.
4. The data association-based secure storage system of claim 1, wherein: the rear-end verification subsystem is configured with a rear-end verification strategy, when re-verification information is received, the rear-end verification strategy is executed, the rear-end verification strategy comprises a comparison condition and a corresponding comparison strategy generated according to the article type information, whether an image to be compared meets the comparison condition is judged through the comparison strategy, if the comparison condition is met, a rear-end verification result is output and sent to a corresponding storage cabinet, and when the rear-end verification result is passed, verification is finished; and when the back-end verification result is failed, the verification fails.
5. The data association-based secure storage system of claim 4, wherein: the back-end verification subsystem is configured with a back-end type database, the back-end type database stores article types and corresponding comparison information, the comparison information comprises comparison conditions and corresponding comparison strategies, and the back-end verification strategies acquire the comparison information from the back-end type database by taking the article type information as an index.
6. The data association-based secure storage system of claim 1, wherein: the comparison strategy comprises the steps of calling a plurality of reference images, comparing the images to be compared with the reference images through an image comparison algorithm to obtain similar values, and when the similar values are larger than a preset similar threshold value, determining that the corresponding comparison conditions are met.
7. The data association-based secure storage system of claim 1, wherein: the comparison strategy comprises the steps of calling a reference feature, traversing the image to be compared, and judging that a corresponding comparison condition is met when the reference feature exists in the image to be compared.
8. The data association-based secure storage system of claim 1, wherein: each image acquisition device of storing unit is provided with two at least.
9. The data association-based secure storage system of claim 1, wherein: the information input device comprises an RFID identification entry device and a manual entry device.
10. The data association-based secure storage system of claim 1, wherein: the distribution mode in the verification distribution strategy is random distribution.
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| CN109887186A (en) * | 2019-02-28 | 2019-06-14 | 深圳市沐腾科技有限公司 | A kind of locker opens cabinet method, locker and storage cabinet system |
| CN110148264A (en) * | 2019-04-04 | 2019-08-20 | 平安科技（深圳）有限公司 | A kind of management method and equipment of locker |
| CN110278262A (en) * | 2019-06-17 | 2019-09-24 | 华北科技学院 | A kind of Intelligent storage system based on Internet of Things |
| CN110443553A (en) * | 2019-08-15 | 2019-11-12 | 深圳市海思睿科技有限公司 | A kind of unattended article control method based on article storage box |
| CN110910580A (en) * | 2019-11-11 | 2020-03-24 | 重庆特斯联智慧科技股份有限公司 | Article storage system identified by artificial intelligence |
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