CN117252385B - Asset omnibearing management and protection system and method thereof - Google Patents
Asset omnibearing management and protection system and method thereof Download PDFInfo
- Publication number
- CN117252385B CN117252385B CN202311340885.5A CN202311340885A CN117252385B CN 117252385 B CN117252385 B CN 117252385B CN 202311340885 A CN202311340885 A CN 202311340885A CN 117252385 B CN117252385 B CN 117252385B
- Authority
- CN
- China
- Prior art keywords
- asset
- distinguishing
- distance
- size
- identifier
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001514 detection method Methods 0.000 claims description 6
- 230000015654 memory Effects 0.000 description 8
- 230000006870 function Effects 0.000 description 4
- 230000008901 benefit Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000003491 array Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005315 distribution function Methods 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Tourism & Hospitality (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Quality & Reliability (AREA)
- Computing Systems (AREA)
- Databases & Information Systems (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Software Systems (AREA)
- Development Economics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention is applicable to the field of computers, and provides an all-around asset management and protection system and a method thereof, wherein the method comprises the following steps: updating regional images covering a plurality of asset parts at regular time, and establishing distinguishing relations among the asset parts according to the regional images; establishing a storage association between the distinguishing relationship and at least one central asset, the central asset being one of a plurality of assets; detecting object fetching requests of a plurality of asset parts, wherein the object fetching requests correspond to a certain asset part in the plurality of asset parts; based on the storage association, the relative positions of the certain asset and the central asset are identified, and the object taking prompt of the certain asset is generated according to the relative positions.
Description
Technical Field
The invention belongs to the field of computers, and particularly relates to an all-dimensional asset management and protection system and method.
Background
Assets are resources formed by past transactions or matters, having a specific authority, expected to benefit the authority or stakeholder, and can be classified as liquidity, long-term investment, fixed, intangible, and other asset components.
When at least one of parts, an integral device, a mechanism forming the device and the like exists in a certain area (a fixed storage grid is not necessarily arranged in a certain area), in order to facilitate fetching, labeling treatment is required to be carried out on the parts one by one so as to facilitate searching, but labels are easy to lose, and the cost is high, so that the success rate of fetching the objects correctly is low, and protection and management are not facilitated.
Disclosure of Invention
The embodiment of the invention aims to provide an all-around asset management and protection system and a method thereof, which aim to solve the problems in the background technology.
The embodiment of the invention is realized in such a way that, on one hand, the method for the omnibearing management and protection of the assets comprises the following steps:
updating regional images covering a plurality of asset parts at regular time, and establishing distinguishing relations among the asset parts according to the regional images;
establishing a storage association between the distinguishing relationship and at least one central asset, the central asset being one of a plurality of assets;
detecting object fetching requests of a plurality of asset parts, wherein the object fetching requests correspond to a certain asset part in the plurality of asset parts;
based on the stored association, identifying the relative position of the asset and the central asset, and generating a retrieval hint for the asset according to the relative position.
As a further aspect of the present invention, the updating the region image covering the plurality of asset elements at regular time, and establishing the distinguishing relationship between the plurality of asset elements according to the region image includes:
acquiring a position placement image covering a plurality of asset pieces, wherein the region image comprises a position placement image;
identifying a label of an asset in a position placement image, marking the asset with the label as a first asset, and marking the asset without the label as a second asset;
identifying a size of the second asset;
in combination with the size and the tag, a distinguishing relationship between several asset elements is established.
As a still further aspect of the present invention, the combining the size and the tag, establishing the distinguishing relationship between the plurality of asset elements includes:
dividing the second asset into areas based on the first asset, and obtaining a plurality of reference subareas taking at least one first asset as a reference;
marking a second asset with a distance not greater than a preset distance from the first asset in each reference subarea as a third asset, dividing the third asset according to the distance between the third asset and the first asset to obtain a first distance identifier of the third asset, and dividing the third asset with the same first distance identifier according to the size when the third asset with the same first distance identifier is greater than 1 to obtain a first size distinguishing identifier;
marking a second asset with a distance greater than a preset distance from the first asset in each reference subarea as a fourth asset, and determining the asset with the largest size in the fourth asset to obtain a fifth asset;
dividing the fourth asset according to the distance between the fourth asset and the fifth asset to obtain a second distance identifier of the fourth asset, and dividing the fourth asset with the same second distance identifier according to the size when the fourth asset with the same second distance identifier is larger than 1 to obtain a second size distinguishing identifier.
As a still further aspect of the present invention, establishing a stored association between the distinguishing relationship and at least one central asset, the central asset being one of a number of assets comprising:
the distinguishing relationship is stored in an electronic device associated with a central asset, the central asset comprising a first asset.
As a further aspect of the present invention, the detecting the pickup request of the plurality of asset elements includes:
receiving a query request of a received object, and carrying out identity recognition on a receiver;
when the identity identification is qualified, identifying an object taking certificate of a certain asset;
and when the object taking certificate is qualified, generating an object taking request of a certain asset.
As a further aspect of the present invention, the identifying, based on the stored association, a relative position of the asset and the central asset, and generating the fetching cue of the asset according to the relative position includes:
determining the position of the certain asset;
determining the type of a certain asset according to the position, and prompting according to the type by combining a distance identifier and a size distinguishing identifier, wherein the type comprises a first asset, a third asset, a fourth asset and a fifth asset, the distance identifier comprises a first distance identifier and a second distance identifier, and the size distinguishing identifier comprises a first size distinguishing identifier and a second size distinguishing identifier.
As a further aspect of the present invention, in another aspect, an asset omnidirectional management and protection system, said system comprising:
the updating and distinguishing module is used for updating the region images covering a plurality of asset parts at fixed time and establishing distinguishing relations among a plurality of asset parts according to the region images;
the storage association module is used for establishing storage association between the distinguishing relation and at least one central asset, and the central asset is one of a plurality of asset;
the system comprises a request detection module, a request processing module and a storage module, wherein the request detection module is used for detecting object taking requests of a plurality of asset components, and the object taking requests correspond to a certain asset component in the plurality of asset components;
and the identification and prompt module is used for identifying the relative positions of the certain asset and the central asset based on the storage association and generating a fetching prompt of the certain asset according to the relative positions.
Further, the updating and distinguishing module includes:
the system comprises an acquisition unit, a storage unit and a display unit, wherein the acquisition unit is used for acquiring a position placement image covering a plurality of asset pieces, and the region image comprises the position placement image;
the tag identification unit is used for identifying tags of asset parts in the position placement image, marking the asset parts with the tags as first asset parts, and marking the asset parts without the tags as second asset parts;
a size identifying unit for identifying the size of the second asset;
and the establishing unit is used for combining the size and the label to establish a distinguishing relation among a plurality of asset components.
According to the system and the method for comprehensively managing and protecting the assets, provided by the embodiment of the invention, when the total number of the assets in the placement area is handled, even if some assets cannot be obviously distinguished, for example, the assets are not provided with labels, through the establishment of regional images and distinguishing relations, the assets can be distinguished by means of the central assets, for example, the types of the assets are distinguished firstly, then the specific assets in the similar assets are distinguished, so that the accuracy of acquiring the assets is improved, and a certain asset is quickly found.
Drawings
FIG. 1 is a main flow chart of an asset comprehensive management and protection method.
FIG. 2 is a flow chart of a method of asset omnidirectional management and protection in which a distinguishing relationship between a plurality of asset components is established based on the geographic image.
FIG. 3 is a flow chart of a method for establishing a distinguishing relationship between a number of asset components in combination with size and tags in an asset comprehensive management and protection method.
FIG. 4 is a flow chart of a method for detecting a pickup request for a plurality of asset components in an asset omnidirectional management and protection method.
FIG. 5 is a flow chart of an asset comprehensive management and protection method for generating a pickup prompt for an asset based on the relative location.
Fig. 6 is a main structural diagram of an asset omnidirectional management and protection system.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Specific implementations of the invention are described in detail below in connection with specific embodiments.
The invention provides an all-around asset management and protection system and a method thereof, which solve the technical problems in the background technology.
As shown in fig. 1, a main flow chart of an asset omnidirectional management and protection method according to an embodiment of the present invention includes:
step S10: updating regional images covering a plurality of asset parts at regular time, and establishing distinguishing relations among the asset parts according to the regional images;
according to the regional image, a distinguishing relation among all the asset parts in the placement area can be established so as to clearly distinguish the asset parts in different positions, and the additional marks and the labels of all the asset parts are not needed;
step S11: establishing a storage association between the distinguishing relationship and at least one central asset, the central asset being one of a plurality of assets;
the distinguishing relation can be associated with a central asset for storage; the central asset is generally an easily identifiable asset, for example, with a distinct tag, which may be an electronic tag capable of being read in response to information from a reader, or a physical identifier, for example, a posted device identifier or part identifier, etc.; after the record is taken out, the taken-out record can be stored in the electronic equipment;
step S12: detecting object fetching requests of a plurality of asset parts, wherein the object fetching requests correspond to a certain asset part in the plurality of asset parts;
in combination with the above steps, after the object taking request is obtained, when a certain asset is intentionally obtained, the object taking prompt can be sent out nearby through the central asset after the object taking request is input outside the placement area;
step S13: based on the stored association, identifying the relative position of the asset and the central asset, and generating a retrieval hint for the asset according to the relative position.
According to the storage association, after the relative position is reached, namely, the asset is positioned to a certain asset, the asset can be distinguished by means of the central asset on the region image, for example, the type is distinguished firstly, and then the specific asset in the similar asset is distinguished, so that the accuracy of acquiring the asset is improved, and the asset can be conveniently and quickly found.
When the method is applied, the region images covering a plurality of asset parts are updated regularly, and the distinguishing relation among the asset parts is established according to the region images; establishing a storage association between the distinguishing relationship and at least one central asset, the central asset being one of a plurality of assets; detecting object fetching requests of a plurality of asset parts, wherein the object fetching requests correspond to a certain asset part in the plurality of asset parts; based on the storage association, the relative positions of the certain asset and the central asset are identified, and the object taking prompt of the certain asset is generated according to the relative positions, so that when the total number of assets in the placement area is handled, even if some assets cannot be distinguished obviously, for example, the assets are not provided with labels, through the establishment of regional images and distinguishing relations, the specific assets in the 'similar asset' can be distinguished by means of the central asset, for example, the types of distinguishing first, then the specific assets in the 'similar asset' are distinguished, the accuracy of acquiring the assets is improved, and the certain asset is found quickly.
As shown in fig. 2, as a preferred embodiment of the present invention, the updating the region image covering the plurality of asset elements at regular time, and establishing the distinguishing relationship between the plurality of asset elements according to the region image includes:
step S101: acquiring a position placement image covering a plurality of asset pieces, wherein the region image comprises a position placement image;
step S102: identifying a label of an asset in a position placement image, marking the asset with the label as a first asset, and marking the asset without the label as a second asset;
not all asset elements are tagged, but are naturally identifiable and distinguishable by the tag, and therefore, the asset element with the tag is referred to herein as a first asset element, and the asset element without the tag is referred to herein as a second asset element, which includes a third asset element, a fourth asset element, and a fifth asset element;
step S103: identifying a size of the second asset;
the dimensions generally include the footprint, i.e., the planar area in plan view; in the case of some planar areas being comparable, it is also possible to distinguish them by means of dimensions corresponding to the features, such as at least one of length, width, thickness, etc.;
step S104: in combination with the size and the tag, a distinguishing relationship between several asset elements is established.
As shown in fig. 3, specifically, the combining the size and the label, establishing the distinguishing relationship between the plurality of asset elements includes:
step S1041: dividing the second asset into areas based on the first asset, and obtaining a plurality of reference subareas taking at least one first asset as a reference;
generally, at least one first asset is taken as a reference, a plurality of second asset is divided around the at least one first asset, and the obtained reference subareas are combined to form a placement area;
step S1042: marking a second asset with a distance not greater than a preset distance from the first asset in each reference subarea as a third asset, dividing the third asset according to the distance between the third asset and the first asset to obtain a first distance identifier of the third asset, and dividing the third asset with the same first distance identifier according to the size when the third asset with the same first distance identifier is greater than 1 to obtain a first size distinguishing identifier;
if the distance between the first asset and the first asset is not greater than the preset distance, all the first asset is marked as a third asset, and in the preset range, the first asset with the label is used as a reference, so that the 'positioning' of the third asset can be quickly obtained, and the 'positioning' is represented by a distance mark gradually expanding from inside to outside; thus, the third asset parts in different distance layers can be distinguished, if the third asset part in each distance layer is larger than 1, the third asset parts in the same distance layer can be further distinguished by the first size distinguishing mark, and therefore all the asset parts in the distance which is not larger than the preset distance with the first asset part can be distinguished;
as the distance from the first asset is increased, the division according to the first asset becomes practically unclear, so that the asset with the distance greater than the preset distance and the largest is selected as a new reference center; further divisions may be made according to this reference center;
step S1043: marking a second asset with a distance greater than a preset distance from the first asset in each reference subarea as a fourth asset, and determining the asset with the largest size in the fourth asset to obtain a fifth asset;
step S1044: dividing the fourth asset according to the distance between the fourth asset and the fifth asset to obtain a second distance identifier of the fourth asset, and dividing the fourth asset with the same second distance identifier according to the size when the fourth asset with the same second distance identifier is larger than 1 to obtain a second size distinguishing identifier.
Similar to the previous, the largest asset among the fourth asset, that is, the fifth asset is still represented by the distance mark gradually expanding from inside to outside (second distance mark) as a reference; thus, fourth asset components at different distance levels can be distinguished, and if the fourth asset component in each distance level is greater than 1, then the fourth asset components in the same distance level can be further distinguished by size, and the second size distinguishing mark can distinguish all asset components within a distance greater than a preset distance from the first asset component.
The method can distinguish the second asset in a certain distance range by taking the first asset with the tag as a reference center, and distinguish the fourth asset outside the distance range by taking the fifth asset as a center, and respectively combine the distance and the size to make further distinguishing basis, so that almost all the assets can be distinguished, and distinguishing relations among all the assets can be established according to the regional image, so that the assets in different positions can be clearly distinguished, additional marks are not needed, and each asset is not needed to be provided with the tag.
As a preferred embodiment of the present invention, establishing a stored association between the distinguishing relationship and at least one central asset element, the central asset element being one of a number of asset elements comprising:
the steps are as follows: the distinguishing relationship is stored in an electronic device associated with a central asset, the central asset comprising a first asset.
It should be appreciated that the electronic device may be directly attached to the central asset; thus, when an asset is intended to be acquired, after an acquisition request is input outside the placement area, an acquisition prompt may be sent out nearby through the electronic device of the central asset.
As shown in fig. 4, as a preferred embodiment of the present invention, the detecting a pickup request of a plurality of asset elements includes:
step S121: receiving a query request of a received object, and carrying out identity recognition on a receiver;
the object taking inquiry request is used for inquiring whether an asset is positioned in the placement area, and when the asset is positioned in the placement area, the identity information of the object taking person is identified, wherein the identity information generally comprises at least one of face information, fingerprint information and the like;
step S122: when the identity identification is qualified, identifying an object taking certificate of a certain asset;
when the identity information is qualified, namely the face information, the fingerprint information and the like are consistent with the pre-stored corresponding information, the object taking certificate is required to be identified; the taking evidence generally comprises a taking code, and the taking code can also be issued by a management and control personnel of a management and control center after passing the identity verification;
step S123: and when the object taking certificate is qualified, generating an object taking request of a certain asset.
When the taking certificate is qualified, the taking certificate indicates that the control license is obtained, and a taking request is generated to request to enter a placing area for taking or notify special taking and placing personnel.
When the method is applied, through identification and detection of the object taking request, the fact that a certain asset is located in the placement area is guaranteed, the object taking is allowed in a related mode, and qualified personnel can actually take the object.
As shown in fig. 5, as a preferred embodiment of the present invention, the identifying, based on the stored association, a relative position of the asset and the central asset, and generating the pickup prompt of the asset according to the relative position includes:
step S131: determining the position of the certain asset;
acquiring the number or standard image of a certain asset, calling the standard image of the certain asset according to the number, carrying out region identification of the region image according to the standard image, and determining the position of the certain asset relative to the placement region when capturing the sub-image of the asset meeting the similar condition with the standard image; i.e. the position of the sub-image relative to the placement area;
step S132: determining the type of a certain asset according to the position, and prompting according to the type by combining a distance identifier and a size distinguishing identifier, wherein the type comprises a first asset, a third asset, a fourth asset and a fifth asset, the distance identifier comprises a first distance identifier and a second distance identifier, and the size distinguishing identifier comprises a first size distinguishing identifier and a second size distinguishing identifier.
After the position is located, namely a certain asset is located, the type of the asset is clear on the region image, so that the type of the certain asset can be determined, the certain asset can be distinguished, and when the prompting is carried out, the prompting can be carried out by means of type, distance identification and size distinction, so that the accuracy of acquiring the asset is improved, and the certain asset can be conveniently and quickly found.
Illustratively, for the first asset, the prompt is based directly on the tag, and may be prompted with the tag and the general orientation in the drop-out area;
for the second asset, the third asset and the fourth asset are included in the second asset, so that the distance between the third asset and the first asset can be distinguished, if the distance is the same, the second asset is distinguished according to the size, and the auxiliary prompt can be identified by the first size distinction;
for the fourth asset, the first asset and the distance greater than the preset distance can be distinguished, and the fifth asset is the largest of the fourth asset, and the other fourth asset can be distinguished by the distance size by means of the fifth asset, if the distances are the same, the distinction can be made according to the size, and the auxiliary prompt can be identified by the second size distinction. The above auxiliary prompts may include identification, distance and size, and if necessary, also by means of orientation information in the geographical image.
As another preferred embodiment of the present invention, as shown in fig. 6, in another aspect, an asset omnidirectional management and protection system, said system comprising:
the updating and distinguishing module 100 is used for updating the region images covering a plurality of asset components at regular time, and establishing distinguishing relations among a plurality of asset components according to the region images;
a storage association module 200, configured to establish a storage association between the distinguishing relationship and at least one central asset, where the central asset is one of a plurality of asset;
the request detection module 300 is configured to detect a pickup request of a plurality of asset components, where the pickup request corresponds to a certain asset component in the plurality of asset components;
the identifying and prompting module 400 is configured to identify a relative position of the certain asset and the central asset based on the stored association, and generate a fetching prompt of the certain asset according to the relative position.
As a preferred embodiment of the present invention, the updating and differentiating module 100 includes:
the system comprises an acquisition unit, a storage unit and a display unit, wherein the acquisition unit is used for acquiring a position placement image covering a plurality of asset pieces, and the region image comprises the position placement image;
the tag identification unit is used for identifying tags of asset parts in the position placement image, marking the asset parts with the tags as first asset parts, and marking the asset parts without the tags as second asset parts;
a size identifying unit for identifying the size of the second asset;
and the establishing unit is used for combining the size and the label to establish a distinguishing relation among a plurality of asset components.
It should be noted that, referring to the description of the specific implementation of the method for omnibearing asset management and protection in the foregoing embodiment, the system corresponds to the implementation method of the method completely, and will not be described herein.
The embodiment of the invention provides an asset omnibearing management and protection method, and provides an asset omnibearing management and protection system based on the asset omnibearing management and protection method, wherein the distinguishing relation among a plurality of asset parts is established according to the region images by updating the region images covering the asset parts at regular time; establishing a storage association between the distinguishing relationship and at least one central asset, the central asset being one of a plurality of assets; detecting object fetching requests of a plurality of asset parts, wherein the object fetching requests correspond to a certain asset part in the plurality of asset parts; based on the storage association, the relative positions of the certain asset and the central asset are identified, and the object taking prompt of the certain asset is generated according to the relative positions, so that when the total number of assets in the placement area is handled, even if some assets cannot be distinguished obviously, for example, the assets are not provided with labels, through the establishment of a region image and a distinguishing relation, the specific assets in the 'similar asset' can be distinguished by means of the central asset, for example, the type of distinguishing first and then the specific assets in the 'similar asset' are distinguished, the accuracy of acquiring the asset is improved, and the certain asset is found quickly.
In order to be able to load the method and system described above to function properly, the system may include more or less components than those described above, or may combine some components, or different components, in addition to the various modules described above, for example, may include input and output devices, network access devices, buses, processors, memories, and the like.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-ProgrammableGate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is a control center of the above system, and various interfaces and lines are used to connect the various parts.
The memory may be used to store a computer and a system program and/or module, and the processor may perform the various functions described above by running or executing the computer program and/or module stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as an information acquisition template presentation function, a product information distribution function, etc.), and the like. The storage data area may store data created according to the use of the berth status display system (e.g., product information acquisition templates corresponding to different product types, product information required to be released by different product providers, etc.), and so on. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart Media Card (SMC), secure digital (SecureDigital, SD) Card, flash Card (Flash Card), at least one disk storage device, flash memory device, or other volatile solid state memory device.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.
Claims (5)
1. A method for the omnibearing management and protection of assets, comprising:
updating regional images covering a plurality of asset parts at regular time, and establishing distinguishing relations among the asset parts according to the regional images;
establishing a storage association between the distinguishing relationship and at least one central asset, the central asset being one of a plurality of assets;
detecting object fetching requests of a plurality of asset parts, wherein the object fetching requests correspond to a certain asset part in the plurality of asset parts;
based on the stored association, identifying the relative position of the certain asset and the central asset, and generating a fetching prompt of the certain asset according to the relative position;
the step of updating the region image covering a plurality of asset parts at fixed time and establishing the distinguishing relation among a plurality of asset parts according to the region image comprises the following steps:
acquiring a position placement image covering a plurality of asset pieces, wherein the region image comprises a position placement image;
identifying a label of an asset in a position placement image, marking the asset with the label as a first asset, and marking the asset without the label as a second asset;
identifying a size of the second asset;
establishing a distinguishing relation among a plurality of asset components by combining the size and the labels;
the combining the size and the label, establishing the distinguishing relation among the plurality of asset elements comprises:
dividing the second asset into areas based on the first asset, and obtaining a plurality of reference subareas taking at least one first asset as a reference;
marking a second asset with a distance not greater than a preset distance from the first asset in each reference subarea as a third asset, dividing the third asset according to the distance between the third asset and the first asset to obtain a first distance identifier of the third asset, and dividing the third asset with the same first distance identifier according to the size when the third asset with the same first distance identifier is greater than 1 to obtain a first size distinguishing identifier;
marking a second asset with a distance greater than a preset distance from the first asset in each reference subarea as a fourth asset, and determining the asset with the largest size in the fourth asset to obtain a fifth asset;
dividing the fourth asset according to the distance between the fourth asset and the fifth asset to obtain a second distance identifier of the fourth asset, and dividing the fourth asset with the same second distance identifier according to the size when the fourth asset with the same second distance identifier is larger than 1 to obtain a second size distinguishing identifier.
2. The method of claim 1, wherein establishing a stored association between the distinguishing relationship and at least one central asset element, the central asset element being one of a plurality of asset elements comprises:
the distinguishing relationship is stored in an electronic device associated with a central asset, the central asset comprising a first asset.
3. The method of claim 2, wherein detecting a pickup request for a plurality of asset components comprises:
receiving a query request of a received object, and carrying out identity recognition on a receiver;
when the identity identification is qualified, identifying an object taking certificate of a certain asset;
and when the object taking certificate is qualified, generating an object taking request of a certain asset.
4. The method of claim 1, wherein identifying the relative location of the asset and the central asset based on the stored association, generating a pickup hint for the asset based on the relative location comprises:
determining the position of the certain asset;
determining the type of a certain asset according to the position, and prompting according to the type by combining a distance identifier and a size distinguishing identifier, wherein the type comprises a first asset, a third asset, a fourth asset and a fifth asset, the distance identifier comprises a first distance identifier and a second distance identifier, and the size distinguishing identifier comprises a first size distinguishing identifier and a second size distinguishing identifier.
5. An asset omnidirectional management and protection system, said system comprising:
the updating and distinguishing module is used for updating the region images covering a plurality of asset parts at fixed time and establishing distinguishing relations among a plurality of asset parts according to the region images;
the storage association module is used for establishing storage association between the distinguishing relation and at least one central asset, and the central asset is one of a plurality of asset;
the system comprises a request detection module, a request processing module and a storage module, wherein the request detection module is used for detecting object taking requests of a plurality of asset components, and the object taking requests correspond to a certain asset component in the plurality of asset components;
the identification and prompt module is used for identifying the relative positions of the certain asset and the central asset based on the storage association and generating a fetching prompt of the certain asset according to the relative positions;
the updating and distinguishing module comprises:
the system comprises an acquisition unit, a storage unit and a display unit, wherein the acquisition unit is used for acquiring a position placement image covering a plurality of asset pieces, and the region image comprises the position placement image;
the tag identification unit is used for identifying tags of asset parts in the position placement image, marking the asset parts with the tags as first asset parts, and marking the asset parts without the tags as second asset parts;
a size identifying unit for identifying the size of the second asset;
the establishing unit is used for combining the size and the label to establish a distinguishing relation among a plurality of asset components;
the combining the size and the label, establishing the distinguishing relation among the plurality of asset elements comprises:
dividing the second asset into areas based on the first asset, and obtaining a plurality of reference subareas taking at least one first asset as a reference;
marking a second asset with a distance not greater than a preset distance from the first asset in each reference subarea as a third asset, dividing the third asset according to the distance between the third asset and the first asset to obtain a first distance identifier of the third asset, and dividing the third asset with the same first distance identifier according to the size when the third asset with the same first distance identifier is greater than 1 to obtain a first size distinguishing identifier;
marking a second asset with a distance greater than a preset distance from the first asset in each reference subarea as a fourth asset, and determining the asset with the largest size in the fourth asset to obtain a fifth asset;
dividing the fourth asset according to the distance between the fourth asset and the fifth asset to obtain a second distance identifier of the fourth asset, and dividing the fourth asset with the same second distance identifier according to the size when the fourth asset with the same second distance identifier is larger than 1 to obtain a second size distinguishing identifier.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311340885.5A CN117252385B (en) | 2023-10-17 | 2023-10-17 | Asset omnibearing management and protection system and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311340885.5A CN117252385B (en) | 2023-10-17 | 2023-10-17 | Asset omnibearing management and protection system and method thereof |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117252385A CN117252385A (en) | 2023-12-19 |
| CN117252385B true CN117252385B (en) | 2024-02-23 |
Family
ID=89126306
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311340885.5A Active CN117252385B (en) | 2023-10-17 | 2023-10-17 | Asset omnibearing management and protection system and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117252385B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110503404A (en) * | 2019-08-27 | 2019-11-26 | 中国联合网络通信集团有限公司 | Asset Tag generation method, device, equipment and storage medium |
| CN111461268A (en) * | 2020-03-31 | 2020-07-28 | 贵州电网有限责任公司 | Resource positioning method for network resource management and control system |
| CN112328689A (en) * | 2020-11-09 | 2021-02-05 | 广州点点办公科技有限公司 | Universal asset business ecosystem based on block chain |
| CN114881409A (en) * | 2022-03-31 | 2022-08-09 | 绿城科技产业服务集团有限公司 | Asset checking method, medium, equipment and system |
| CN115358609A (en) * | 2022-08-26 | 2022-11-18 | 深圳市华慧时代管理咨询有限公司 | Enterprise digital management method and system |
| CN116187717A (en) * | 2023-04-24 | 2023-05-30 | 四川金投科技股份有限公司 | File warehousing management method and system |
| CN116383194A (en) * | 2022-12-27 | 2023-07-04 | 中国电子产业工程有限公司 | Asset query system, method, electronic device and storage medium |
| CN116542596A (en) * | 2023-03-28 | 2023-08-04 | 人维自动化(北京)有限公司 | Goods loading method and device, electronic equipment and storage medium |
-
2023
- 2023-10-17 CN CN202311340885.5A patent/CN117252385B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110503404A (en) * | 2019-08-27 | 2019-11-26 | 中国联合网络通信集团有限公司 | Asset Tag generation method, device, equipment and storage medium |
| CN111461268A (en) * | 2020-03-31 | 2020-07-28 | 贵州电网有限责任公司 | Resource positioning method for network resource management and control system |
| CN112328689A (en) * | 2020-11-09 | 2021-02-05 | 广州点点办公科技有限公司 | Universal asset business ecosystem based on block chain |
| CN114881409A (en) * | 2022-03-31 | 2022-08-09 | 绿城科技产业服务集团有限公司 | Asset checking method, medium, equipment and system |
| CN115358609A (en) * | 2022-08-26 | 2022-11-18 | 深圳市华慧时代管理咨询有限公司 | Enterprise digital management method and system |
| CN116383194A (en) * | 2022-12-27 | 2023-07-04 | 中国电子产业工程有限公司 | Asset query system, method, electronic device and storage medium |
| CN116542596A (en) * | 2023-03-28 | 2023-08-04 | 人维自动化(北京)有限公司 | Goods loading method and device, electronic equipment and storage medium |
| CN116187717A (en) * | 2023-04-24 | 2023-05-30 | 四川金投科技股份有限公司 | File warehousing management method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117252385A (en) | 2023-12-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10796162B2 (en) | Information processing apparatus, information processing method, and information processing system | |
| JP6399280B2 (en) | Collation / search system, collation / search server, image feature extraction device, collation / search method and program | |
| US11182544B2 (en) | User interface for contextual document recognition | |
| CN109493087B (en) | Method for checking real estate registration information based on two-dimensional code, computer device and computer readable storage medium | |
| CN111414949B (en) | Picture clustering method and device, electronic equipment and storage medium | |
| CN113794569B (en) | Material inventory data providing method, device and system based on block chain | |
| US20230205755A1 (en) | Methods and systems for improved search for data loss prevention | |
| US20060158533A1 (en) | System for storing RFID information for an image in a data file | |
| CN109656487B (en) | Data processing method, device, equipment and storage medium | |
| CN111080311B (en) | Commodity tracing method and device based on blockchain | |
| CN117252385B (en) | Asset omnibearing management and protection system and method thereof | |
| US11080977B2 (en) | Management system, server, management device, and management method | |
| US8908968B1 (en) | Identifying and ensuring the authenticity of objects | |
| CN115587247A (en) | Method, device and equipment for monitoring user label and storage medium | |
| CN115983766A (en) | Object position detection method and device, electronic equipment and readable storage medium | |
| CN114491134A (en) | Trademark registration success rate analysis method and system | |
| CN110457332B (en) | Information processing method and related equipment | |
| Kluwak et al. | ALPR-extension to traditional plate recognition methods | |
| CN112561544A (en) | Commodity anti-counterfeiting query method and device and storage medium | |
| CN111768345A (en) | Method, device and equipment for correcting back image of identity card and storage medium | |
| JP5751067B2 (en) | Individual identification device, individual identification method, and program | |
| CN117196658B (en) | Market economic information management system and method based on data analysis | |
| CN116992108B (en) | Government administration electronic archive processing method and system | |
| CN117540905A (en) | Management system and management method for electric power data center | |
| US10614690B2 (en) | Management system, server, management device, and management method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |