CN114997663A - Asset risk early warning method and system based on automatic asset identification - Google Patents

Asset risk early warning method and system based on automatic asset identification Download PDF

Info

Publication number
CN114997663A
CN114997663A CN202210650838.XA CN202210650838A CN114997663A CN 114997663 A CN114997663 A CN 114997663A CN 202210650838 A CN202210650838 A CN 202210650838A CN 114997663 A CN114997663 A CN 114997663A
Authority
CN
China
Prior art keywords
asset
information
warehouse
warehousing
identification
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.)
Granted
Application number
CN202210650838.XA
Other languages
Chinese (zh)
Other versions
CN114997663B (en
Inventor
倪利
杨宁
吕湛
沈嘉璐
杨刚
王海
庄明建
谢坚铿
邓蔚
刘伟
赵天威
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shengzhou City Guangyu Industry Co ltd
State Grid Zhejiang Electric Power Co Ltd Shengzhou Power Supply Co
Original Assignee
Shengzhou City Guangyu Industry Co ltd
State Grid Zhejiang Electric Power Co Ltd Shengzhou Power Supply Co
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shengzhou City Guangyu Industry Co ltd, State Grid Zhejiang Electric Power Co Ltd Shengzhou Power Supply Co filed Critical Shengzhou City Guangyu Industry Co ltd
Priority to CN202210650838.XA priority Critical patent/CN114997663B/en
Publication of CN114997663A publication Critical patent/CN114997663A/en
Application granted granted Critical
Publication of CN114997663B publication Critical patent/CN114997663B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

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
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G06Q10/063114—Status monitoring or status determination for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
    • G06K17/0025—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device the arrangement consisting of a wireless interrogation device in combination with a device for optically marking the record carrier
    • 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
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • 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
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

The invention discloses an asset risk early warning method and system based on automatic asset identification.A computing server compares first asset identification information with first asset record information and takes the first asset record information which does not correspond to the first asset identification information as second asset record information; the computing server determines a target storage position of the stored asset in the warehouse according to the second asset record information, acquires a target image of the target storage position, and generates an asset loss early warning based on the second asset record information if the stored asset is judged not to exist in the target image and the stored asset should be located in the warehouse; and if the computing server judges that the storage assets exist in the target image and the storage assets are not located in the warehouse, generating asset operation early warning based on the second asset record information, and improving the accuracy of identifying error data.

Description

Asset risk early warning method and system based on automatic asset identification
Technical Field
The invention relates to the technical field of data processing, in particular to an asset risk early warning method and system based on automatic asset identification.
Background
The asset automatic identification technology automatically acquires various important information on a server operating system, a sensor and the server, carries out intelligent management and is convenient to check, analyze and manage.
Under the wave of science and technology, people attach more importance to the protection of assets, and along with the enterprise constantly carries out production and operation activity, the asset constantly circulates constantly between individual, enterprise's assembly line and other enterprises, for example: products of a company, such as a transformer, a sensor, a cable and the like, are still manually counted when the products are delivered from and put into a warehouse of an enterprise at present, so that the loss of the products and the counting errors of personnel are easily caused, and the loss or the loss can cause great loss of the company.
Therefore, how to avoid the asset loss caused by manual statistics becomes an urgent problem to be solved.
Disclosure of Invention
The invention overcomes the defects of the prior art, provides the asset risk early warning method and the asset risk early warning system based on the automatic identification of the assets, solves the problem that the manual asset statistics is easy to generate errors, and performs different batch processing according to different conditions when the computer processing capacity is limited and the asset data is large, so that the actual requirements of users are better met, the memory occupied by the system operation is reduced, and the efficiency is improved.
In order to solve the technical problems, the technical scheme of the invention is as follows:
the embodiment of the invention provides an asset risk early warning method based on automatic asset identification, which comprises the following steps:
step S1, identifying all stored assets in the warehouse based on an RFID identification system to obtain RFID identification data, wherein the RFID identification data comprises a plurality of first asset identification information;
step S2, generating corresponding inventory asset data based on warehousing behaviors and/or ex-warehousing behaviors of the warehouse system, wherein the inventory asset data comprises a plurality of first asset record information;
step S3, the calculation server compares the first asset identification information with the first asset record information, and takes the first asset record information which is not corresponding to the first asset identification information as second asset record information;
step S4, the calculation server determines a target storage position of the storage asset in the warehouse according to the second asset record information, acquires a target image of the target storage position, and generates an asset loss early warning based on the second asset record information if the target image is judged that the storage asset does not exist and the storage asset should be located in the warehouse;
and step S5, if the calculation server judges that the storage assets exist in the target image and the storage assets should not be located in the warehouse, generating asset operation early warning based on the second asset record information.
The embodiment of the invention provides an asset risk early warning system based on automatic asset identification, which comprises:
the system comprises an identification module, a storage module and a management module, wherein the identification module is used for identifying all stored assets in a warehouse based on an RFID identification system to obtain RFID identification data, and the RFID identification data comprises a plurality of first asset identification information;
the system comprises a recording module, a storage module and a management module, wherein the recording module is used for generating corresponding inventory asset data based on warehousing behaviors and/or ex-warehousing behaviors of a warehouse system, and the inventory asset data comprises a plurality of first asset record information;
the comparison module is used for enabling the calculation server to compare the first asset identification information with the first asset record information, and taking the first asset record information which does not correspond to the first asset identification information as second asset record information;
the first generation module is used for enabling the computing server to determine a target storage position of the stored asset in the warehouse according to the second asset record information, acquiring a target image of the target storage position, and generating an asset loss early warning based on the second asset record information if the target image is judged to have no stored asset and the stored asset is required to be located in the warehouse;
and the second generation module is used for enabling the computing server to generate asset operation early warning based on the second asset record information if the computing server judges that the storage assets exist in the target image and should not be located in the warehouse.
The invention has the beneficial effects that:
(1) according to the invention, all assets stored in a warehouse can be accurately identified by utilizing the RFID identification system to obtain a plurality of first asset identification information, and a plurality of first asset record information is obtained according to the warehouse-out and warehouse-in behaviors, and whether the inventory data has problems or not can be accurately obtained by comparing the first asset identification information with the first asset record information;
(2) the invention can compare the warehousing asset information according to the actual situation, such as: if the quantity of the warehousing asset information is huge, part of warehousing asset information is selected, the warehousing asset information can be assets which are warehoused recently and can be assets which are not compared for a long time, the comparison quantity is reduced, compared with the traditional technology that data traversal is carried out every time warehousing information is generated, the operation load of a server is reduced, real-time comparison and integral traversal are not needed, and the service life of the server is prolonged;
(3) the invention can generate different current division numbers according to the processing capacity of the central processing units of different calculation servers and the storage capacity of the storage, namely, the processing capacity of the calculation servers in a fixed time period is divided differently according to the difference of the processing capacity to obtain corresponding sequence numbers for batch processing, the batch processing reduces the internal memory occupied by the system operation, avoids the premature damage of the central processing units under high-load operation, reasonably adjusts the current division numbers according to the sequence numbers, better fits the actual scene and meets the user requirements.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be 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 to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic view of an application scenario of the technical solution provided by the present invention;
FIG. 2 is a schematic diagram of generating second asset record information provided by the present invention;
fig. 3 is a schematic structural diagram of an asset risk early warning system based on asset automatic identification provided by the present invention.
Detailed Description
In order that the present invention may be more readily and clearly understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.
As shown in fig. 1, an application scenario of the technical solution provided by the present invention includes an RFID identification system, a warehouse system, a computing server and a camera, where all storage assets are provided with electronic tags, the RFID identification system identifies the storage assets by the electronic tags to obtain a plurality of first asset identification information, and transmits the plurality of first asset identification information to the computing server, the computing server is simultaneously connected to the warehouse system, the warehouse system records warehousing behaviors and/or ex-warehouse behaviors of all the storage assets to obtain a plurality of first asset record information, and transmits the plurality of first asset record information to the computing server, where the computing server is configured with an un-ex-warehouse information storage unit and an ex-warehouse information storage unit, the un-ex-warehouse information storage unit stores warehousing asset information, and the ex-warehouse information storage unit stores warehousing asset information, warehousing information, asset-warehousing information, and camera simultaneously, And comparing the ex-warehouse asset information with standard asset identification information through asset record information, if the information is inconsistent, acquiring an image of the asset with inconsistent information by using a camera, and checking and confirming whether the asset is lost or is caused by manual misoperation through the image.
The invention provides an asset risk early warning method based on automatic asset identification, which specifically comprises the following steps of S1-S5:
step S1, identifying all the stored assets in the warehouse based on the RFID identification system to obtain RFID asset data, wherein the RFID identification data comprises a plurality of first asset identification information.
According to the technical scheme provided by the invention, all the stored assets in the warehouse can be provided with electronic tags, and the RFID identification system is utilized to identify all the stored assets to obtain corresponding RFID asset data, namely a plurality of pieces of first asset identification information.
According to the invention, all stored assets are identified by using a radio frequency identification technology (RFID), and corresponding first asset identification information is generated, so that the subsequent comparison with the first asset recording information is facilitated, and the early warning information is generated.
In a possible implementation manner of the technical solution provided by the present invention, step S1 specifically includes:
the RFID identification system includes an RFID reader provided at a storage location of each warehouse, and the storage assets are added with corresponding RFID tags to which asset information is added after being stored in the warehouse.
According to the technical scheme, the RFID identification system comprises RFID readers are placed in storage area positions of all warehouses, RFID tags are arranged at all storage assets, when the storage assets are placed in the storage area positions of the warehouses, the RFID readers in the positions can automatically read the RFID tags at the storage assets, and corresponding asset information is added to the RFID tags.
For example: the RFID reader-writer is placed in the transformer storage area in the warehouse, the RFID reader-writer is placed in the sensor storage area, the RFID label of the transformer A is arranged at the transformer A, it can be understood that the number A of the transformer can be stored in the RFID label of the transformer A, the model number of the transformer can also be stored, and the like, when the transformer A is placed in the transformer storage area in the warehouse, the RFID reader-writer can automatically read the RFID label of the transformer A to generate corresponding warehousing information, and if the transformer A is placed in the transformer storage area in the warehouse and then taken out, the corresponding warehousing information and ex-warehouse information are generated; the sensor A is provided with an RFID label of the sensor A, and it can be understood that the number A of the sensor, the model number of the sensor and the like can be stored in the RFID label of the sensor A, when the sensor A is placed at the position of a sensor storage area in a warehouse, an RFID reader-writer can automatically read the RFID label of the sensor A to generate corresponding warehousing information, and if the sensor A is placed at the position of the sensor storage area in the warehouse and then taken out, corresponding warehousing information and ex-warehouse information are generated; it is understood that there may be a plurality of transformers and a plurality of sensors, and the assets may be transformers, sensors, cables, etc., and are not limited herein.
According to the invention, the RFID identification system is used for identifying the RFID tags of the assets, so that corresponding in-out information, namely the first asset identification information, can be generated, all the stored assets can be conveniently identified subsequently, and a plurality of first asset identification information can be generated.
And all RFID readers in the RFID identification system identify corresponding RFID tags, and if the added asset information of the RFID tags is judged, a plurality of first asset identification information are generated according to the added asset information of all RFID tags.
In the technical scheme provided by the invention, all the RFID readers of the RFID identification system are used for identifying the RFID tags on all the storage assets, and the corresponding asset information is added to the RFID tags at the storage assets, it can be understood that the asset information may be the serial number information of the storage assets, the model information of the storage assets, and the like, and is not limited herein, for example: and the transformer A and the transformer B generate a plurality of first asset identification information according to the asset information in all the RFID tags.
For example: the transformer RFID reader-writer of the RFID identification system is used for identifying the RFID label of the transformer A, the sensor RFID reader-writer identifies the RFID label of the sensor A, the transformer A is located in the transformer RFID reader-writer area and is not taken away, corresponding first asset identification information of the transformer A is generated, the sensor A is located in the sensor RFID reader-writer area and is taken away, and corresponding first asset identification information of the sensor A is generated.
According to the invention, all the stored assets are identified by the RFID identification system to obtain more accurate identification information of a plurality of first assets, compared with the traditional technology, the accuracy is improved, the subsequent comparison with the first asset record information is convenient, the wrong information and the wrong reason are found, the information accuracy is improved by bidirectional comparison, the working efficiency is effectively improved, and the economic loss caused by human factors is avoided.
Corresponding RFID identification data is generated based on the plurality of first asset identification information.
According to the technical scheme provided by the invention, the corresponding RFID identification data is obtained according to the plurality of first asset identification information. It will be appreciated that the RFID identification data is also a plurality of first asset identification information.
And step S2, generating corresponding inventory asset data based on the warehousing behavior and/or the ex-warehousing behavior of the warehouse system, wherein the inventory asset data comprises a plurality of first asset record information.
According to the technical scheme provided by the invention, the system can generate corresponding inventory asset data based on the warehousing behavior and/or the ex-warehouse behavior of the warehouse system, the inventory asset data is composed of a plurality of first asset record information, and it can be understood that the warehousing behavior and/or the ex-warehouse behavior of the warehouse system can be that when assets are warehoused and/or ex-warehouse, the barcodes of the assets are scanned by manually using a scanning gun, or the information corresponding to the assets is input manually through a keyboard without limitation, so that the corresponding first asset record information is obtained.
For example: the method comprises the steps that a warehouse manager scans bar codes of a transformer A of warehousing behaviors through a scanning gun to obtain corresponding warehousing information, first asset recording information of the corresponding transformer A is generated, all storage assets are scanned to obtain a plurality of first asset recording information, and inventory asset data are generated according to the first asset recording information.
The corresponding first asset record information is generated by the warehouse system, so that the subsequent comparison with the first asset identification information is facilitated, the bidirectional comparison of data is carried out, and which data are in error and whether the corresponding error reason is lost or artificial error can be known.
In a possible implementation manner of the technical solution provided by the present invention, step S2 specifically includes:
and acquiring the asset information of the storage assets of the warehousing behavior based on the warehousing terminal to generate corresponding warehousing asset information, and acquiring the asset information of the storage assets of the ex-warehousing behavior based on the ex-warehousing terminal to generate corresponding ex-warehousing asset information.
According to the technical scheme, the system can collect the asset information of the storage assets of the warehousing behavior according to the warehousing terminal to generate corresponding warehousing asset information, and the corresponding ex-warehouse asset information is generated based on the collection of the asset information of the storage assets of the ex-warehouse behavior by the ex-warehouse terminal.
For example: the warehouse manager can record the warehousing behavior and the ex-warehouse behavior of the sensor A on the warehousing terminal and the ex-warehouse terminal to generate warehousing asset information and ex-warehouse asset information of the sensor A.
According to the invention, the storage assets are recorded through the warehousing terminal and the ex-warehouse terminal, so that the subsequent comparison with the first asset identification information is facilitated, the accuracy of data is improved through a bidirectional comparison mode, and errors are found in time and early warning is given out.
The method comprises the steps of configuring a non-ex-warehouse information storage unit and an ex-warehouse information storage unit, storing warehousing asset information of storage assets only with warehousing behaviors to the non-ex-warehouse information storage unit, and respectively storing warehousing asset information and ex-warehouse asset information of the storage assets with warehousing behaviors and ex-warehouse behaviors to the ex-warehouse information storage unit.
According to the technical scheme provided by the invention, a corresponding non-ex-warehouse information storage unit and an ex-warehouse information storage unit are configured in a computing server, the warehousing asset information of the storage assets only with warehousing behaviors is stored in the non-ex-warehouse information storage unit, the warehousing asset information and the ex-warehouse asset information of the storage assets both with warehousing behaviors and ex-warehouse behaviors are respectively stored in the ex-warehouse information storage unit, and it can be understood that only the storage assets with warehousing behaviors are still in a warehouse, so that the warehousing asset information is stored in the non-ex-warehouse information storage unit; and the storage assets with the warehousing behaviors and the ex-warehouse behaviors are already ex-warehouse, and warehousing asset information and ex-warehouse asset information of the storage assets are led out and stored to the ex-warehouse information storage unit.
For example: and if the transformer A only has the warehousing behavior, the transformer A is still in the warehouse, if the sensor A has both the warehousing behavior and the ex-warehouse behavior, the sensor A is taken out, if so, the warehousing asset information of the transformer A is stored in the non-ex-warehouse information storage unit, and the warehousing asset information and the ex-warehouse asset information of the sensor A are stored in the ex-warehouse information storage unit.
The invention can divide the storage assets into two types of non-ex-warehouse and ex-warehouse, and respectively store the storage assets into the corresponding storage units for distinguishing and processing, thereby facilitating the follow-up to accurately know whether the data error is caused by loss or artificial operation error, and facilitating the proofreading of the follow-up data.
And taking the warehousing asset information in the information storage unit which is not ex-warehouse as first asset record information of the storage assets, and taking the warehousing asset information and the ex-warehouse asset information in the information storage unit which is ex-warehouse as the first asset record information of the storage assets.
According to the technical scheme provided by the invention, the warehousing asset information in the non-ex-warehouse information storage unit is used as the first asset record information of the storage asset, and the warehousing asset information and the ex-warehouse asset information in the ex-warehouse information storage unit are used as the first asset record information of the storage asset, and it can be understood that the first asset record information is manually counted and comprises the following steps: the non-ex-warehouse asset and the ex-warehouse asset, the first asset record information is correct asset record information.
The invention can store the assets which are not delivered from the warehouse in the information storage unit which is not delivered from the warehouse, and store the assets which are delivered from the warehouse in the information storage unit which is delivered from the warehouse, and can understand that the information storage unit which is not delivered from the warehouse stores the assets which are not delivered from the warehouse, so only the assets which are delivered from the warehouse are stored, the information storage unit which is delivered from the warehouse simultaneously has the assets information which are delivered from the warehouse and the assets information which are delivered from the warehouse, and the first asset record information is correct record information, so the assets information which are delivered from the warehouse of the information storage unit are the first asset record information, and the assets information which are delivered from the warehouse of the information storage unit are the first asset record information.
Step S3, the computing server compares the first asset identification information with the first asset record information, and takes the first asset record information that does not correspond to the first asset identification information as the second asset record information.
According to the technical scheme provided by the invention, the computing server compares the first asset identification information and the first asset record information in the storage unit, and the first asset record information which does not correspond to the first asset identification information is taken as the second asset record information.
In a possible implementation manner of the technical solution provided by the present invention, step S3 specifically includes:
as shown in fig. 2, when a first preset condition is satisfied, the warehousing asset information in the non-ex-warehouse information storage unit is acquired, and first standard asset identification information is generated.
According to the technical scheme provided by the invention, when a first preset condition is met, the warehousing asset information in the non-ex-warehouse information storage unit is acquired, and first standard asset identification information is generated, wherein when the first preset condition is that the processing time period is equal to the first preset time period, it can be understood that the identification information is not compared with the recording information in real time, so that the data is acquired not in real time, but is acquired at intervals, namely when the processing time is equal to the first preset time period, the first standard asset identification information is acquired. Facilitating subsequent comparison with the first asset identification information, it will be appreciated that the first standard asset identification information is manually accounted for by the warehouse system and the first asset identification information is identified based on the RFID identification system.
For example: the comparison of data not ex-warehouse is performed every 7 days, and 10 transformers are scanned and input by a warehouse manager through a warehouse system.
The invention can acquire the standard asset identification information (first standard asset identification information) which is obtained by identifying the warehouse system in the non-ex-warehouse information storage unit, and can understand that the first standard asset identification information is the standard warehousing asset information recorded by workers in the non-ex-warehouse information storage unit, and the warehousing asset information only with warehousing behaviors is counted by people, so that the comparison between the subsequent warehouse information and the recorded information is convenient and errors can be found in time.
In a possible implementation manner, the acquiring information of the assets in storage in the information storage unit that is not ex-warehouse when a first preset condition is met, and generating first standard asset identification information includes:
and acquiring a first operation record table in the warehouse system, wherein the first operation record table is provided with a time tag and an asset tag corresponding to the corresponding warehousing asset information.
According to the technical scheme provided by the invention, a first operation record table (a table for recording the assets which are not ex-warehouse and stored) in the warehouse system is obtained, the first operation record table is provided with a time tag and an asset tag corresponding to the information of the corresponding assets which are put in warehouse, and the first operation record table can be a table for the warehouse administrator to carry out information input on the assets which are not ex-warehouse.
For example: the first operation recording table records the recording time of the transformer A: 2020-5-11, 10:30: 00, the corresponding time stamp is: 2020-5-11, 10:30: 00, asset tag is: recording time of the transformer A and the transformer B: 2020-5-11,9:30: 00, the corresponding time stamp is: 2020-5-11,9:30: 00, asset tag is: recording time of the transformer B and the transformer C: 2020-5-12,8:30: 00, the corresponding time stamp is: 2020-5-12,8:30: 00, asset tag is: and a transformer C.
According to the invention, the time tags and asset tags in the warehousing asset information corresponding to the assets which are not ex-warehouse are obtained through the first operation record table, so that the subsequent determination of partial warehousing asset information is facilitated according to the time tags, the partial warehousing asset information can be the assets which are just warehoused and are not compared, the internal memory occupied by the operation of the system is reduced, the working efficiency is improved, and the asset comparison is performed in a targeted manner.
And obtaining a first processing time period according to the current time and the last time of generating the first standard asset identification information, and judging that a first preset condition is met if the first processing time period is equal to a first preset time period.
According to the technical scheme provided by the invention, a first processing time period is obtained according to the time when the current time is far from the last time of generating the first standard asset identification information, and if the first processing time period is equal to a first preset time period, the first preset condition is met, and the warehousing asset information in the non-ex-warehouse information storage unit can be obtained.
For example: the current moment is: 2020-5-12,8:30: 00, the time from the last generation of the first standard asset identification information: 2020-5-5,8:30: 00, obtaining a first processing time period of 7 days, wherein if the first processing time period is equal to a preset first preset time period of 7 days, the first preset condition is met, and processing subsequent data.
The invention compares the data of the assets which are not delivered from the warehouse at intervals instead of real-time comparison, reduces the memory of system operation compared with the real-time comparison, has wide applicability, considers the different processing capacities of different computing servers, has different time for corresponding computing processing loss and has wider application range.
And determining partial warehousing asset information in the non-ex-warehouse information storage unit according to the time tag, and generating corresponding first standard asset identification information based on the asset tag corresponding to the partial warehousing asset information, wherein the first standard asset identification information is that the storage asset corresponding to the corresponding asset tag should be positioned in the warehouse.
According to the technical scheme provided by the invention, partial warehousing asset information in the non-ex-warehouse information storage unit is determined according to the time tag, wherein the partial warehousing asset information can be asset information which is just warehoused but is not subjected to data comparison, repeated traversal comparison is not performed on the compared information, corresponding first standard asset identification information is generated according to the partial warehousing asset information, the first standard asset identification information is that the storage asset corresponding to the corresponding asset tag is located in a warehouse, and it can be understood that the first standard asset identification information is information which is artificially recorded by a warehouse system and is that the storage asset is already stored in a warehouse space and is not ex-warehouse.
For example: the time of last generation of the first standard asset identification information: 2020-5-5,8:30: 00, it is understood that 2020-5-5, 8: 30: the data before 00 are subjected to data comparison, so that the data comparison in the next time can be selected from 2020-5-5, 8: 30: 00 and 2020-5-12, 8: 30: 00 to compare data.
According to the invention, the warehousing asset information which is just warehoused and has not been subjected to data comparison is determined through the time tag, and the information which is compared before is not subjected to repeated traversal comparison, so that the memory occupied by the operation of the system is reduced, the comparison efficiency is improved, the pertinence is stronger, the method can be applied to a computing server with weaker processing capacity, and the application range is wider.
In a possible implementation manner, the determining, according to the time tag, part of warehousing asset information in the non-ex-warehouse information storage unit, and generating corresponding first standard asset identification information based on an asset tag corresponding to the warehousing asset information, where the first standard asset identification information is that a storage asset corresponding to a corresponding asset tag should be located in a warehouse includes:
and sorting the warehousing asset information from far to near according to the time tags to obtain a warehousing information sequence.
According to the technical scheme provided by the invention, the warehousing asset information is sorted from far to near according to the time tag of the storage asset, and a warehousing asset information sequence, namely a warehousing information sequence, sorted according to time is obtained.
For example: 2020-5-11, 10:30: 00, the corresponding time stamp is: 2020-5-11, 10:30: 00, asset tag is: recording time of the transformer A and the transformer B: 2020-5-11,9:30: 00, the corresponding time stamp is: 2020-5-11,9:30: 00, asset tag is: recording time of the transformer B and the transformer C: 2020-5-12,8:30: 00, the corresponding time stamp is: 2020-5-12,8:30: 00, asset tag is: transformer C, the warehousing information sequence is: transformer a (2020-5-11, 10: 30: 00), transformer B (2020-5-11, 9: 30: 00), and transformer C (2020-5-12, 8: 30: 00).
According to the invention, the warehousing asset information is sorted from far to near according to time, so that the total processing data can be divided conveniently according to the actual processing and storage capacity of the computing server, and the total processing data conforms to the actual capacity of the computing server, so that the application range of the invention is wider, the invention can be applied to the computing server with poor computing capacity, the specific comparison is realized, the working efficiency is improved, the computing server can not be in a traversal comparison state all the time, and the service life is prolonged.
And generating corresponding processing capacity information according to the machine attribute of the computing server, and dividing the warehousing information sequence based on the processing capacity information to obtain a plurality of subsequences.
According to the technical scheme provided by the invention, the corresponding processing capacity information is generated according to the machine attribute of the computing server, and the warehousing information sequence is divided based on the processing capacity information to obtain a plurality of subsequences, so that the computing server with stronger processing capacity has the larger corresponding processing quantity and the smaller corresponding subsequence quantity, for example: there are 100 pieces of warehousing asset information, the computing server can process 10 pieces of warehousing asset information, the corresponding sub-sequence is 10, the computing server can process 1 piece of warehousing asset information, and the corresponding sub-sequence is 100.
The invention combines the processing capacity of the computing server to divide the data and generate the number of the subsequences, and each subsequence is the data number corresponding to the processing capacity of the subsequence, so that the invention has wide application, can be applied to the computing servers with medium and low performance, performs batch processing, makes the processing more targeted and improves the processing efficiency.
In a possible implementation manner, the generating corresponding processing capability information according to the machine attribute of the computing server, and dividing the warehousing information sequence based on the processing capability information to obtain a plurality of subsequences includes:
and acquiring the occupation information of the central processing unit and the occupation information of the high-speed memory in the machine attribute.
The technical scheme provided by the invention can acquire the occupation information of the central processing unit and the occupation information of the high-speed memory in the machine attribute of the computing server, and can acquire the processing capacities of different central processing units of different computing servers and the storage and calling capacities of different high-speed memories, thereby facilitating the subsequent generation of the division number corresponding to the processing capacity of the high-speed memory.
And comparing the occupation information of the central processing unit with preset processing occupation information to obtain a processing sub-coefficient, and comparing the occupation information of the high-speed memory with preset memory occupation information to obtain a cache sub-coefficient.
The method comprises the steps that central processing unit occupation information is compared with preset processing occupation information to obtain processing sub-coefficients, high-speed memory occupation information is compared with the preset memory occupation information to obtain cache sub-coefficients, the corresponding processing sub-system number and the cache sub-coefficients are obtained by comparing the central processing unit occupation information with the preset processing occupation information and the preset memory occupation information, the preset division number is shifted subsequently, and if the capacity is smaller than the preset capacity, the preset division number is reduced; if the capacity is larger than the preset capacity, the number of preset partitions will be increased, and it can be understood that the preset processing occupation information and the preset memory occupation information may be set manually, and the corresponding current partition number is obtained according to the comparison between the capacities of the central processing units and the high-speed memories of different computing servers and the preset values.
Calculating to obtain the current division number based on the processing sub-coefficient, the cache sub-coefficient and the preset division number, calculating the current division number by the following formula,
Figure DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 148930DEST_PATH_IMAGE002
as the number of the current divisions is,
Figure DEST_PATH_IMAGE003
is the information occupied by the central processing unit,
Figure 86930DEST_PATH_IMAGE004
in order to preset the processing occupation information,
Figure DEST_PATH_IMAGE005
in order to process the information-normalized values,
Figure 538508DEST_PATH_IMAGE006
in order to obtain the high-speed memory footprint information,
Figure DEST_PATH_IMAGE007
in order to preset the memory usage information,
Figure 758006DEST_PATH_IMAGE008
in order to store the normalized value of the information,
Figure DEST_PATH_IMAGE009
in order to be a preset number of divisions,
Figure 112895DEST_PATH_IMAGE010
is a constant value of the amount of the substance,
Figure 782649DEST_PATH_IMAGE009
in order to be a preset number of divisions,
Figure DEST_PATH_IMAGE011
in order to process the sub-coefficients,
Figure 957409DEST_PATH_IMAGE012
in order to buffer the sub-coefficients,
Figure DEST_PATH_IMAGE013
and
Figure 308494DEST_PATH_IMAGE002
is in direct proportion toTo understand, the CPU occupancy information
Figure 314627DEST_PATH_IMAGE003
The larger the corresponding processing sub-coefficient
Figure 125588DEST_PATH_IMAGE011
Larger, high speed memory footprint information
Figure 840776DEST_PATH_IMAGE006
The larger the corresponding cache sub-coefficient
Figure 293754DEST_PATH_IMAGE012
The larger, the corresponding
Figure 918508DEST_PATH_IMAGE014
The larger the size is, the larger the size is 1, and the corresponding is
Figure DEST_PATH_IMAGE015
Similarly, corresponding CPU occupation information
Figure 572475DEST_PATH_IMAGE003
The smaller, the corresponding processing sub-coefficient
Figure 548259DEST_PATH_IMAGE011
Smaller, high speed memory footprint information
Figure 539348DEST_PATH_IMAGE006
The smaller, the corresponding cache sub-coefficient
Figure 582391DEST_PATH_IMAGE012
The smaller, the corresponding
Figure 203996DEST_PATH_IMAGE014
The smaller the size is, the whole size is less than 1, and the smaller the size corresponds to
Figure 932655DEST_PATH_IMAGE016
。
The invention can obtain corresponding different division quantities according to the processing capacities of different calculation servers and the difference of the processing capacities, and can calculate the upper limit value of the server for processing the warehousing asset information each time, so that the application range of the invention is wider, the division processing is carried out, the processing is more targeted, and the working efficiency is improved.
Acquiring the total quantity of warehousing asset information in a warehousing information sequence at the current moment, acquiring the sequence quantity according to the total quantity and the current dividing quantity, and dividing the warehousing information sequence according to the sequence quantity to obtain a plurality of subsequences.
According to the technical scheme provided by the invention, the total quantity of warehousing asset information in the warehousing information sequence at the current moment is obtained, the sequence quantity is obtained according to the ratio of the total quantity to the current dividing quantity, and the warehousing information sequence is divided according to the sequence quantity to obtain a plurality of subsequences.
For example: acquiring the total quantity of warehousing asset information in the warehousing information sequence at the current moment as follows: 100, if the current division number is 10, the sequence number is 100/10=10, and the warehousing information sequence 100 is divided according to the sequence number 10 to obtain 10 subsequences.
According to the invention, the total quantity of the warehousing asset information is divided according to the obtained corresponding division quantity by calculating different processing capacities of the servers, and the obtained plurality of subsequences are subjected to batch processing, so that the batch processing reduces the load of system operation, prolongs the service life of the system, makes the processing more targeted and improves the working efficiency.
In a possible implementation manner, the obtaining of the total amount of warehousing asset information in the warehousing information sequence at the current time, obtaining the number of sequences according to the total amount and the current division number, and dividing the warehousing information sequence according to the number of sequences to obtain a plurality of subsequences includes:
dividing the total number by the current number of partitions to obtain the number of sequences.
According to the technical scheme provided by the invention, the total number is divided by the current division number to obtain the sequence number, the corresponding current division number is obtained according to different processing capacities of the calculation server, and the total number is divided according to the current division number to obtain the corresponding sequence number.
And if the sequence number is a non-integer, taking the minimum integer larger than the sequence number as the sequence number after the integer processing.
According to the technical scheme provided by the invention, if the number of the sequences is a non-integer, the nearest integer which is greater than the number of the sequences is used as the number of the sequences after integer processing.
For example: the total amount of warehousing asset information in the warehousing information sequence at the current moment is as follows: 101, if the current partition number is 10, and the sequence number is 101/10=10.1, rounding up the sequence number to 11, where the number of sequences after processing corresponds to 11, and the number of information of assets put into storage corresponding to each sub-sequence is: 1:10 subsequences, 2:10 subsequences, 3:10 subsequences, 4:10 subsequences, 5:10 subsequences, 6:10 subsequences, 7:10 subsequences, 8:10 subsequences, 9:10 subsequences, 10:10 subsequences and 11:1 subsequences.
The invention can generate different sequence numbers according to the difference of the total number and the division number, and divides according to the processing capacity of the calculation server, so that the processing capacity can be exerted without causing waste of running memory and overload operation.
In a possible embodiment, after the step of taking the smallest integer larger than the sequence number as the sequence number after the integer processing if the sequence number is a non-integer, the method includes:
and acquiring the current division number in each subsequence, and selecting the subsequence with the minimum current division number to obtain the minimum subsequence.
According to the technical scheme provided by the invention, the current division number in each subsequence is obtained, and the subsequence with the minimum current division number is selected to obtain the minimum subsequence.
For example: 1:10 subsequences, 2:10 subsequences, 3:10 subsequences, 4:10 subsequences, 5:10 subsequences, 6:10 subsequences, 7:10 subsequences, 8:10 subsequences, 9:10 subsequences, 10:10 subsequences, 11:1 subsequences, it is understood that the smallest subsequence is 11:1 subsequence.
The invention can obtain the minimum subsequence, is convenient for reasonably distributing the number of the warehousing asset information in each sequence subsequently, and improves the operation efficiency.
And sequentially extracting one piece of warehousing asset information from each other subsequence based on the warehousing information sequence and storing the warehousing asset information to the minimum subsequence until the current division number in the minimum subsequence is more than or equal to the current division number in any subsequence.
In the technical scheme provided by the invention, the system can sequentially extract one piece of warehousing asset information from each subsequence and store the warehousing asset information to the minimum subsequence based on the warehousing information sequence, namely from far to near according to the time labels until the current division number in the minimum subsequence is more than or equal to the current division number in any subsequence, and the warehousing information sequence is obtained by sequencing the warehousing asset information, the subsequences divided according to the warehousing information sequence are also time-ordered, and are also ordered from far to near, and extracting warehousing asset information with the farthest time tag in each sequence or extracting warehousing asset information with the nearest time tag in each sequence from each subsequence in sequence, wherein the extraction is not limited herein.
For example: 1:10 subsequences, 2:10 subsequences, 3:10 subsequences, 4:10 subsequences, 5:10 subsequences, 6:10 subsequences, 7:10 subsequences, 8:10 subsequences, 9:10 subsequences, 10:10 subsequences and 11:1 subsequences, it can be understood that the smallest subsequence is 11:1 subsequence, and one piece of warehousing asset information is extracted from the subsequences 1, 2, 3, 4, 5, 6, 7 and 8 and stored in the subsequence 11, so that the subsequence 11:9 pieces of information are consistent with the quantity of the warehousing asset information in the extracted subsequences (subsequence 1, subsequence 2, subsequence 3, subsequence 4, subsequence 5, subsequence 6, subsequence 7 and subsequence 8); at this time, the quantity of the asset information put in storage in the subsequence is respectively as follows: 1:9 subsequences, 2:9 subsequences, 3:9 subsequences, 4:9 subsequences, 5:9 subsequences, 6:9 subsequences, 7:9 subsequences, 8:9 subsequences, 9:10 subsequences, 10:10 subsequences and 11:9 subsequences.
The invention can reasonably distribute the warehousing asset information in each subsequence, so that the contrast amount in each subsequence is not too much or too little, the operation of the computing server occupies reasonable memory and is reasonably applied, and the overall processing efficiency is improved.
And determining the generation time of the warehousing asset information in each subsequence at the last time of generating the first standard asset identification information, and counting the generation time closest to the current time in each subsequence as comparison time.
According to the technical scheme provided by the invention, the generation time of the first standard asset identification information generated by the warehousing asset information in each subsequence at the last time is determined, and the generation time closest to the current time in each subsequence is counted as the comparison time.
For example: the method comprises the following steps that 100 warehousing asset information exists, a computing server can process 10 warehousing asset information, the number of corresponding subsequences is 10, the time when the first subsequence generates the first standard asset identification information last time is 2020-5-11, and the ratio of 10: 30: 00. 2020-5-13, 10: 30: 00 generating first standard asset identification information, and selecting 2020-5-13, 10: 30: 00 is taken as the comparison time.
The invention obtains the comparison time by determining the generation time of each subsequence closest to the current time, and can understand that data comparison is carried out every time the first standard asset identification information is generated, the comparison times and the comparison time of each subsequence are different, the generation time closest to the current time is selected as the comparison time, so that subsequences which are not compared for a long time can be conveniently known subsequently, subsequences which are not compared for a long time can be conveniently selected subsequently, the data comparison at intervals can be ensured, all subsequences can be compared, data processing is carried out in a targeted manner, and the operation load of a computing server is reduced.
And selecting the subsequence corresponding to the comparison time farthest from the current time, and determining the subsequence as partial warehousing asset information in the non-ex-warehouse information storage unit.
According to the technical scheme provided by the invention, the calculation server selects the subsequence corresponding to the comparison time farthest from the current time, determines the subsequence as part of warehousing asset information which is not stored in the ex-warehouse information storage unit, and performs subsequent data comparison.
For example: the comparison time of the first subsequence is 2020-5-13, 10: 30: 00, the comparison time of the second subsequence is 2020-5-12, 10: 30: 00, selecting the second subsequence as partial warehousing asset information in the non-ex-warehouse information storage unit.
The invention carries out data comparison on assets which are not delivered out of the warehouse in a targeted manner, carries out data division according to different processing capacities of the computing server, divides the assets into different subsequences, and selects the subsequence which is farthest from the current time for data comparison.
And if the warehousing asset information of the non-ex-warehouse information storage unit does not have the first asset identification information corresponding to the first standard asset identification information, taking the first asset record information comprising the warehousing asset information as second asset record information.
According to the technical scheme provided by the invention, if the first standard asset identification information of the un-ex-warehouse information storage unit does not correspond to the first asset identification information, the first asset record information is used as the second asset record information, it can be understood that the first standard asset identification is the warehousing information artificially counted, the first asset identification information is the warehousing information counted by an RFID identification system, and if the data are not equal, the error occurs, the first asset record information is used as the second asset record information to be marked.
For example: the first standard asset identification information (the assets which are not ex-warehouse and recorded by the warehouse system) records that 10 transformers are stored in the warehouse, but the first asset identification information (the assets which are not ex-warehouse and identified by the RFID identification system) identifies that only 9 transformers are stored, and at the moment, the first asset identification information does not correspond to the first asset identification information, which indicates that the transformers are lost, 10 transformers are stored according to the first standard asset identification information counted by the warehouse system, but only 9 transformers are actually identified, and 1 transformer is lost.
According to the invention, the first asset identification information (the assets which are not delivered from the warehouse and identified by the RFID identification system) is compared with the first standard asset identification information (the assets which are not delivered from the warehouse and recorded by the warehouse system), so that data errors can be found in time, and corresponding lost early warning information is generated for timely correcting errors.
And when a second preset condition is met, acquiring all warehousing asset information and ex-warehouse asset information in the ex-warehouse information storage unit, and generating second standard asset identification information.
The technical scheme provided by the invention is that when a second preset condition is met, all warehousing asset information and ex-warehouse asset information in an ex-warehouse information storage unit are acquired, and second standard asset identification information is generated, wherein the warehousing asset information and the ex-warehouse asset information are correspondingly stored in the ex-warehouse information storage unit, and the warehousing asset information and the ex-warehouse asset information are stored in the ex-warehouse information storage unit according to a warehouse system to generate second standard asset identification information, so that the subsequent comparison with the first asset identification information of the ex-warehouse information storage unit is facilitated, data errors are found in time and early warning correction is carried out, and economic loss is avoided, wherein the second preset condition is that the first ex-warehouse quantity is more than or equal to a second preset quantity, and it can be understood that the corresponding asset identification information and asset record information can be compared only when the ex-warehouse is needed, therefore, the second preset number may be 1, where 1 or more indicates that the shipment information is already available, or may be a numerical value greater than 1, and when a certain number is met, the comparison of the data is performed, which is not limited herein.
For example: and acquiring warehousing asset information and ex-warehouse asset information of the sensor every 2 shipment, and performing subsequent data comparison.
According to the invention, the second standard asset identification information recorded by the warehouse system is compared with the first asset identification information (the assets which are already delivered from the warehouse and identified by the RFID identification system), so that the error information of the delivered assets can be conveniently found in time in the follow-up process, and the corresponding early warning information can be generated.
In a possible implementation manner, the acquiring all warehousing asset information and ex-warehouse asset information in the ex-warehouse information storage unit when a second preset condition is met to generate second standard asset identification information includes:
and acquiring a second operation record table in the warehouse system, wherein the second operation record table is provided with a time tag and an asset tag corresponding to the corresponding ex-warehouse asset information.
According to the technical scheme provided by the invention, a second operation record table (a table for manually recording the assets which are delivered from the warehouse) in the warehouse system is obtained, and the second operation record table is provided with a time tag and an asset tag corresponding to the corresponding asset delivery information.
For example: the second operation record table records the ex-warehouse time of the sensor A: 2020-5-20, 10:30: 00, the corresponding time stamp is: 2020-5-20, 10:30: 00, asset tag is: warehouse-out time of the sensor A and the sensor B: 2020-5-21,9:30: 00, the corresponding time stamp is: 2020-5-21,9:30: 00, asset tag is: sensor B, sensor C warehouse-out time: 2020-5-22,8:30: 00, the corresponding time stamp is: 2020-5-22,8:30: 00, asset tag is: and a sensor C.
According to the invention, the time tags and asset tags in the warehousing asset information corresponding to the assets which are not ex-warehouse are obtained through the first operation record table, so that the subsequent determination of partial warehousing asset information is facilitated according to the time tags, the partial warehousing asset information can be the assets which are just warehoused and are not compared, the internal memory occupied by the operation of the system is reduced, the working efficiency is improved, and the asset comparison is performed in a targeted manner.
And counting the number of the time labels after the preset time point to obtain a first ex-warehouse number, and judging that a second preset condition is met when the first ex-warehouse number is greater than or equal to a second preset number.
According to the technical scheme provided by the invention, the number of the time labels after the preset time point is counted to obtain the first ex-warehouse number, and the system can count the time labels of the ex-warehouse asset information after the preset time point is reached to obtain the first ex-warehouse number, namely how many stored assets are ex-warehouse, and when the first ex-warehouse number is more than or equal to the second preset number, the second preset condition is judged to be met, and the subsequent data processing operation is carried out.
For example: in the case of a signal reaching 2020-9-1, 8: 30: when 00 hours, the warehouse-out quantity of the sensor is counted, the warehouse-out quantity counted at the preset time point (2020-9-1, 8: 30: 00) at this time is subtracted by the warehouse-out quantity counted at the preset time point at last time to obtain the warehouse-out quantity, or the warehouse-out quantity counted at the preset time point 2020-9-1, 8: 30: 00 to last preset time point, and when the first ex-warehouse quantity is greater than or equal to the second preset quantity, judging that the second preset condition is met, wherein it can be understood that the ex-warehouse quantity is compared, and therefore, if there is no ex-warehouse behavior, the comparison is not needed, and therefore, the second preset quantity is greater than the second preset quantity, and the second preset quantity can be 1 or 100, and is not limited here, and when a certain quantity is met, the subsequent data comparison is performed.
The invention can compare data only when a certain number of conditions are met, such as: the data can be compared only when the ex-warehouse information exists, so that the quantity is more than 1, and the comparison can be performed after a certain quantity is met, so that the number of times of system operation comparison is reduced, real-time comparison is not needed, and the system operation load is reduced.
And acquiring all outbound asset information after a preset time point, and generating corresponding second standard asset identification information based on the asset tags corresponding to the outbound asset information, wherein the second standard asset identification information indicates that the corresponding asset tags correspond to the stored assets which should not be located in the warehouse.
According to the technical scheme provided by the invention, after a second preset condition is met, all the ex-warehouse asset information after a preset time point is obtained, and corresponding second standard asset identification information is generated based on the asset tag corresponding to the ex-warehouse asset information.
And if the ex-warehouse asset information of the ex-warehouse information storage unit does not have the first asset identification information corresponding to the second standard asset identification information, taking the first asset record information comprising the ex-warehouse asset information as second asset record information.
According to the technical scheme provided by the invention, if the first asset identification information of the ex-warehouse information storage unit does not correspond to the second standard asset identification information, the first asset record information comprising the ex-warehouse asset information and the in-warehouse asset information is used as the second asset record information, it can be understood that the second standard asset identification information is the in-warehouse information counted manually, the first asset identification information is the in-warehouse information counted by an RFID identification system, and if the data is not equal, the error is generated, the first asset record information is used as the second asset record information to be marked.
For example: 10 transformers, the second standard asset identification information (the assets already shipped via warehouse system record) records 2 transformers shipped, but the first asset identification information (the assets already shipped via RFID identification system identification) identifies only 1 transformer shipped, indicating human error.
According to the invention, by comparing the second standard asset identification information (the assets which are recorded by the warehouse system and are taken out of the warehouse) with the first asset record information (the assets which are identified by the RFID identification system and are taken out of the warehouse), the errors of the taken-out data can be found and corrected in time.
And step S4, the calculation server determines a target storage position of the storage asset in the warehouse according to the second asset record information, acquires a target image of the target storage position, and generates an asset loss early warning based on the second asset record information if the target image is judged to have no storage asset and the storage asset should be located in the warehouse.
According to the technical scheme provided by the invention, the calculation server determines the target storage position of the stored asset in the warehouse according to the second asset record information, for example: and if the second asset recording information is the transformer A, according to the serial number of the transformer: the transformer A determines the position of the storage asset, and it can be understood that each numbered storage asset is placed in a corresponding area, a target image of a target storage position is obtained, if it is judged that the storage asset does not exist in the target image and the storage asset should be located in a warehouse, namely the transformer A does not exist in the target position, but the transformer A is displayed in the record, an asset loss early warning is generated based on second asset record information, and early warning information of different conditions can be generated according to different conditions.
In a possible implementation manner of the technical solution provided by the present invention, step S4 specifically includes:
and determining corresponding storage positions according to asset tags of the stored assets corresponding to the second asset record information, wherein each asset tag corresponds to one storage position in advance.
According to the technical scheme provided by the invention, according to the asset tag of the stored asset corresponding to the second asset record information, the asset tag can be a device number, for example: the transformer A determines corresponding storage positions according to the asset tags, each asset tag corresponds to one storage position in advance, and it can be understood that each asset tag corresponds to one corresponding storage position, and positions of different devices can be determined according to different asset tags.
And acquiring a target image of the target storage position based on a camera, and if the target image is judged to have no corresponding storage asset, generating an asset loss early warning based on the second asset recording information.
According to the technical scheme provided by the invention, the system obtains the target image of the target storage position by utilizing the camera through the obtained target storage position, if the target image is judged to have no corresponding storage asset, the system can be understood that after the image is obtained, a warehouse manager can check whether the corresponding storage asset exists in the image, if the image is judged to have no corresponding storage asset but the operation record still shows that the storage asset exists, the asset loss early warning is generated based on the second asset recording information, the article loss is shown, different early warnings can be generated according to different conditions, and the correction can be carried out according to the different early warnings.
And step S5, if the calculation server judges that the storage assets exist in the target image and the storage assets should not be located in the warehouse, generating asset operation early warning based on the second asset record information.
According to the technical scheme provided by the invention, if the computing server judges that the storage assets exist in the target image and the storage assets are not located in the warehouse, it can be understood that if the storage assets exist in the target image and the storage assets do not exist in the asset record table, the asset operation early warning is generated based on the second asset record information, which indicates that the manual operation is wrong.
In a possible implementation manner of the technical solution provided by the present invention, step S5 specifically includes:
and determining corresponding storage positions according to asset tags of the assets stored corresponding to the second asset record information, wherein each asset tag corresponds to one storage position in advance.
According to the technical scheme provided by the invention, the system stores the asset tag of the asset corresponding to the second asset record information, wherein the asset tag can be a device number, such as: the sensor A determines a corresponding storage position according to the asset tags, each asset tag is arranged corresponding to one storage position in advance, and it can be understood that each asset tag corresponds to one corresponding storage position, and positions of different devices can be determined according to different asset tags.
And acquiring a target image of the target storage position based on a camera, and if the target image is judged to have corresponding storage assets, generating asset operation early warning based on the second asset recording information.
According to the technical scheme provided by the invention, the system obtains the target image of the target storage position by utilizing the camera through the obtained target storage position, if the corresponding storage asset exists in the target image, it can be understood that after the image is obtained, a warehouse administrator can check whether the corresponding storage asset exists in the image, if the image is judged to have the corresponding storage asset, but the second asset record information shows that the storage asset does not exist, the asset operation early warning is generated based on the second asset record information, the existence of the article is indicated, but the article does not exist artificially in a statistical manner, different early warnings can be generated according to different situations, and the correction is carried out according to the different early warnings.
In order to implement the asset risk early warning method based on automatic asset identification provided by the present invention, the present invention further provides an asset risk early warning system based on automatic asset identification, as shown in fig. 3, including:
the system comprises an identification module, a storage module and a management module, wherein the identification module is used for identifying all stored assets in a warehouse based on an RFID identification system to obtain RFID asset data, and the RFID identification data comprises a plurality of first asset identification information;
the system comprises a recording module, a storage module and a management module, wherein the recording module is used for generating corresponding inventory asset data based on warehousing behaviors and/or ex-warehouse behaviors of a warehouse system, and the inventory asset data comprises a plurality of first asset record information;
the comparison module is used for enabling the computing server to compare the first asset identification information with the first asset record information and taking the first asset record information which does not correspond to the first asset identification information as second asset record information;
the first generation module is used for enabling the computing server to determine a target storage position of the risky asset in the warehouse according to the second asset record information, acquiring a target image of the target storage position, and generating an asset loss early warning based on the second asset record information if the target image is judged to have no storage asset and the storage asset is required to be located in the warehouse;
and the second generation module is used for enabling the computing server to generate asset operation early warning based on the second asset record information if the computing server judges that the storage assets exist in the target image and should not be located in the warehouse.
In addition to the above embodiments, the present invention may have other embodiments; all technical solutions formed by adopting equivalent substitutions or equivalent transformations fall within the protection scope of the claims of the present invention.

Claims (13)

1. An asset risk early warning method based on automatic asset identification is characterized by comprising the following steps:
step S1, identifying all stored assets in the warehouse based on an RFID identification system to obtain RFID identification data, wherein the RFID identification data comprises a plurality of first asset identification information;
step S2, generating corresponding inventory asset data based on warehousing behaviors and/or ex-warehousing behaviors of the warehouse system, wherein the inventory asset data comprises a plurality of first asset record information;
step S3, the calculation server compares the first asset identification information with the first asset record information, and takes the first asset record information which is not corresponding to the first asset identification information as second asset record information;
step S4, the calculation server determines a target storage position of the storage asset in the warehouse according to the second asset record information, acquires a target image of the target storage position, and generates an asset loss early warning based on the second asset record information if the target image is judged that the storage asset does not exist and the storage asset should be located in the warehouse;
and step S5, if the computing server judges that the storage assets exist in the target image and the storage assets are not located in the warehouse, generating asset operation early warning based on the second asset record information.
2. The asset risk early warning method based on automatic asset identification according to claim 1,
the step S1 includes:
the RFID identification system comprises an RFID reader-writer arranged at the storage position of each warehouse, and the corresponding RFID tags are added after the storage assets are stored in the warehouses, and the asset information is added to the corresponding RFID tags;
all RFID readers in the RFID identification system identify corresponding RFID tags, and if asset information added to the RFID tags is judged, a plurality of first asset identification information are generated according to the asset information added to all the RFID tags;
corresponding RFID identification data is generated based on the plurality of first asset identification information.
3. The asset risk early warning method based on automatic asset identification according to claim 2,
the step S2 includes:
the method comprises the steps that asset information of storage assets of warehousing behaviors is collected based on a warehousing terminal to generate corresponding warehousing asset information, and the asset information of the storage assets of ex-warehouse behaviors is collected based on an ex-warehouse terminal to generate corresponding ex-warehouse asset information;
configuring a non-ex-warehouse information storage unit and an ex-warehouse information storage unit, storing the warehousing asset information of the storage assets only with warehousing behaviors into the non-ex-warehouse information storage unit, and respectively storing the warehousing asset information and the ex-warehouse asset information of the storage assets with warehousing behaviors and ex-warehouse behaviors into the ex-warehouse information storage unit;
and taking the warehousing asset information in the information storage unit which is not ex-warehouse as first asset record information of the stored assets, and taking the warehousing asset information and the ex-warehouse asset information in the information storage unit which is ex-warehouse as the first asset record information of the stored assets.
4. The asset risk early warning method based on automatic asset identification according to claim 3,
the step S3 includes:
when a first preset condition is met, acquiring warehousing asset information in the non-ex-warehouse information storage unit, and generating first standard asset identification information;
if the warehousing asset information of the information storage unit which is not ex-warehouse does not have the first asset identification information corresponding to the first standard asset identification information, taking the first asset record information comprising the warehousing asset information as second asset record information;
when a second preset condition is met, acquiring all warehousing asset information and ex-warehouse asset information in the ex-warehouse information storage unit, and generating second standard asset identification information;
and if the ex-warehouse asset information of the ex-warehouse information storage unit does not have the first asset identification information corresponding to the second standard asset identification information, taking the first asset record information comprising the ex-warehouse asset information as second asset record information.
5. The asset risk early warning method based on automatic asset identification according to claim 4,
when meeting a first preset condition, acquiring warehousing asset information in the information storage unit which is not ex-warehoused, and generating first standard asset identification information, wherein the method comprises the following steps:
acquiring a first operation record table in a warehouse system, wherein the first operation record table is provided with a time tag and an asset tag corresponding to corresponding warehousing asset information;
obtaining a first processing time period according to the time when the current time is far from the last time when the first standard asset identification information is generated, and judging that a first preset condition is met if the first processing time period is equal to a first preset time period;
and determining partial warehousing asset information in the non-ex-warehouse information storage unit according to the time tag, and generating corresponding first standard asset identification information based on the asset tag corresponding to the partial warehousing asset information, wherein the storage asset corresponding to the asset tag corresponding to the first standard asset identification information is positioned in the warehouse.
6. The asset risk early warning method based on automatic asset identification according to claim 5,
the determining partial warehousing asset information in the non-ex-warehouse information storage unit according to the time tag, and generating corresponding first standard asset identification information based on the asset tag corresponding to the warehousing asset information, wherein the asset tag corresponding to the asset tag of the first standard asset identification information should be located in the warehouse includes:
sorting the warehousing asset information from far to near according to the time tags to obtain a warehousing information sequence;
generating corresponding processing capacity information according to the machine attribute of the computing server, and dividing the warehousing information sequence based on the processing capacity information to obtain a plurality of subsequences;
determining the generation time of the warehousing asset information in each subsequence at the last time of generating the first standard asset identification information, and counting the generation time closest to the current time in each subsequence as comparison time;
and selecting the subsequence corresponding to the comparison time farthest from the current time, and determining the subsequence as partial warehousing asset information in the un-ex-warehouse information storage unit.
7. The asset risk early warning method based on automatic asset identification according to claim 6,
the generating of the corresponding processing capacity information according to the machine attribute of the computing server, and the dividing of the warehousing information sequence based on the processing capacity information to obtain a plurality of subsequences include:
acquiring central processing unit occupation information and high-speed memory occupation information in the machine attribute;
comparing the CPU occupation information with preset processing occupation information to obtain a processing sub-coefficient, and comparing the high-speed memory occupation information with preset memory occupation information to obtain a cache sub-coefficient;
calculating to obtain the current division number based on the processing sub-coefficient, the caching sub-coefficient and the preset division number, calculating the current division number through the following formula,
Figure 342099DEST_PATH_IMAGE001
wherein, the first and the second end of the pipe are connected with each other,
Figure 51429DEST_PATH_IMAGE002
as the number of the current divisions is,
Figure 408592DEST_PATH_IMAGE003
is the information occupied by the central processing unit,
Figure 494359DEST_PATH_IMAGE004
in order to preset the processing of the occupancy information,
Figure 751903DEST_PATH_IMAGE005
in order to process the information normalization value,
Figure 100976DEST_PATH_IMAGE006
in order to obtain the high-speed memory footprint information,
Figure 443971DEST_PATH_IMAGE007
in order to preset the memory usage information,
Figure 271112DEST_PATH_IMAGE008
for storing messagesThe value of the normalized value is then calculated,
Figure 681365DEST_PATH_IMAGE009
in order to be a preset number of divisions,
Figure 699874DEST_PATH_IMAGE010
is a constant value of the amount of the substance,
Figure 31630DEST_PATH_IMAGE009
in order to pre-set the number of divisions,
Figure 865725DEST_PATH_IMAGE011
in order to process the sub-coefficients,
Figure 363440DEST_PATH_IMAGE012
is a buffer sub-coefficient;
acquiring the total quantity of warehousing asset information in a warehousing information sequence at the current moment, acquiring the sequence quantity according to the total quantity and the current dividing quantity, and dividing the warehousing information sequence according to the sequence quantity to obtain a plurality of subsequences.
8. The asset risk early warning method based on automatic asset identification according to claim 7,
the acquiring the total amount of warehousing asset information in the warehousing information sequence at the current moment, acquiring the sequence number according to the total amount and the current dividing number, and dividing the warehousing information sequence according to the sequence number to acquire a plurality of subsequences comprises the following steps:
dividing the total number by the current division number to obtain a sequence number;
and if the sequence number is a non-integer, taking the minimum integer larger than the sequence number as the sequence number after the integer processing.
9. The asset risk early warning method based on automatic asset identification according to claim 8, wherein after the step of taking the smallest integer larger than the sequence number as the integer processed sequence number if the sequence number is a non-integer, the method comprises:
acquiring the current division number in each subsequence, and selecting the subsequence with the minimum current division number to obtain the minimum subsequence;
and sequentially extracting one piece of warehousing asset information from each other subsequence based on the warehousing information sequence and storing the warehousing asset information to the minimum subsequence until the current division number in the minimum subsequence is more than or equal to the current division number in any subsequence.
10. The asset risk early warning method based on automatic asset identification according to claim 5,
the step S4 includes:
determining corresponding storage positions according to asset tags of the assets stored corresponding to the second asset recording information, wherein each asset tag corresponds to one storage position in advance;
and acquiring a target image of the target storage position based on a camera, and if the target image is judged to have no corresponding storage asset, generating an asset loss early warning based on the second asset recording information.
11. The asset risk early warning method based on automatic asset identification according to claim 4,
when a second preset condition is met, acquiring all warehousing asset information and ex-warehouse asset information in the ex-warehouse information storage unit, and generating second standard asset identification information, wherein the second preset condition comprises the following steps:
acquiring a second operation record table in the warehouse system, wherein the second operation record table is provided with a time tag and an asset tag corresponding to corresponding ex-warehouse asset information;
counting the number of the time labels after the preset time point to obtain a first ex-warehouse number, and judging that a second preset condition is met when the first ex-warehouse number is greater than or equal to a second preset number;
and acquiring all outbound asset information after a preset time point, and generating corresponding second standard asset identification information based on the asset tags corresponding to the outbound asset information, wherein the second standard asset identification information indicates that the corresponding asset tags correspond to the stored assets which should not be located in the warehouse.
12. The asset risk early warning method based on automatic identification of assets of claim 11,
the step S5 includes:
determining corresponding storage positions according to asset tags of the assets stored corresponding to the second asset recording information, wherein each asset tag corresponds to one storage position in advance;
and acquiring a target image of the target storage position based on a camera, and if the target image is judged to have corresponding storage assets, generating asset operation early warning based on the second asset recording information.
13. Asset risk early warning system based on asset automatic identification, its characterized in that includes:
the system comprises an identification module, a storage module and a management module, wherein the identification module is used for identifying all stored assets in a warehouse based on an RFID identification system to obtain RFID identification data, and the RFID identification data comprises a plurality of first asset identification information;
the system comprises a recording module, a storage module and a management module, wherein the recording module is used for generating corresponding inventory asset data based on warehousing behaviors and/or ex-warehousing behaviors of a warehouse system, and the inventory asset data comprises a plurality of first asset record information;
the comparison module is used for enabling the calculation server to compare the first asset identification information with the first asset record information, and taking the first asset record information which does not correspond to the first asset identification information as second asset record information;
the first generation module is used for enabling the computing server to determine a target storage position of the stored asset in the warehouse according to the second asset record information, acquiring a target image of the target storage position, and generating an asset loss early warning based on the second asset record information if the target image is judged to have no stored asset and the stored asset is required to be located in the warehouse;
and the second generation module is used for enabling the computing server to generate asset operation early warning based on the second asset record information if the computing server judges that the storage assets exist in the target image and should not be located in the warehouse.
CN202210650838.XA 2022-06-10 2022-06-10 Asset risk early warning method and system based on automatic asset identification Active CN114997663B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210650838.XA CN114997663B (en) 2022-06-10 2022-06-10 Asset risk early warning method and system based on automatic asset identification

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210650838.XA CN114997663B (en) 2022-06-10 2022-06-10 Asset risk early warning method and system based on automatic asset identification

Publications (2)

Publication Number Publication Date
CN114997663A true CN114997663A (en) 2022-09-02
CN114997663B CN114997663B (en) 2023-06-23

Family

ID=83034088

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210650838.XA Active CN114997663B (en) 2022-06-10 2022-06-10 Asset risk early warning method and system based on automatic asset identification

Country Status (1)

Country Link
CN (1) CN114997663B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115829337A (en) * 2023-02-23 2023-03-21 南京和电科技有限公司 Storage area risk early warning method and system

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101286216A (en) * 2008-05-16 2008-10-15 深圳市科陆电子科技股份有限公司 Assets management method and system based on RFID technology
CN103400240A (en) * 2013-08-19 2013-11-20 国家电网公司 Fixed asset check device
CN103593743A (en) * 2012-08-17 2014-02-19 东莞市领先电子科技有限公司 Warehouse management system based on RFID technology and free flight technology
WO2014117020A2 (en) * 2013-01-25 2014-07-31 Trimble Navigation Limited Kinematic asset management
CN106296077A (en) * 2016-08-01 2017-01-04 中国水利电力物资集团有限公司 A kind of Power Plant Equipment storage management method based on RFID of Internet-of-things technology and system
CN107609825A (en) * 2017-09-28 2018-01-19 深圳多特医疗技术有限公司 A kind of material depot manages system
CN108564151A (en) * 2018-06-29 2018-09-21 广东电网有限责任公司 Intelligent repository system
CN110503167A (en) * 2019-08-07 2019-11-26 清远蓄能发电有限公司 Shelf Work tool checking method, system, equipment and medium based on RFID
CN110991584A (en) * 2019-12-11 2020-04-10 中国南方电网有限责任公司 Power distribution room asset checking system, method and device and computer equipment
CN113807778A (en) * 2021-08-31 2021-12-17 深圳镓芯半导体科技有限公司 Warehouse material management method for third-generation compound semiconductor and related equipment

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101286216A (en) * 2008-05-16 2008-10-15 深圳市科陆电子科技股份有限公司 Assets management method and system based on RFID technology
CN103593743A (en) * 2012-08-17 2014-02-19 东莞市领先电子科技有限公司 Warehouse management system based on RFID technology and free flight technology
WO2014117020A2 (en) * 2013-01-25 2014-07-31 Trimble Navigation Limited Kinematic asset management
CN103400240A (en) * 2013-08-19 2013-11-20 国家电网公司 Fixed asset check device
CN106296077A (en) * 2016-08-01 2017-01-04 中国水利电力物资集团有限公司 A kind of Power Plant Equipment storage management method based on RFID of Internet-of-things technology and system
CN107609825A (en) * 2017-09-28 2018-01-19 深圳多特医疗技术有限公司 A kind of material depot manages system
CN108564151A (en) * 2018-06-29 2018-09-21 广东电网有限责任公司 Intelligent repository system
CN110503167A (en) * 2019-08-07 2019-11-26 清远蓄能发电有限公司 Shelf Work tool checking method, system, equipment and medium based on RFID
CN110991584A (en) * 2019-12-11 2020-04-10 中国南方电网有限责任公司 Power distribution room asset checking system, method and device and computer equipment
CN113807778A (en) * 2021-08-31 2021-12-17 深圳镓芯半导体科技有限公司 Warehouse material management method for third-generation compound semiconductor and related equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
IRINA POPOVA: "Application of the RFID technology in logistics", TRANSPORTATION RESEARCH PROCEDIA, vol. 57 *
徐志明;阎利;潘晓东;: "基于RFID技术实现应急保障物资仓库智能化的研究", 信息通信, no. 07 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115829337A (en) * 2023-02-23 2023-03-21 南京和电科技有限公司 Storage area risk early warning method and system
CN115829337B (en) * 2023-02-23 2023-08-04 南京和电科技有限公司 Storage area risk early warning method and system

Also Published As

Publication number Publication date
CN114997663B (en) 2023-06-23

Similar Documents

Publication Publication Date Title
US8854190B2 (en) Systems and methods to detect cross reads in RFID tags
CN109711492B (en) Intelligent drug logistics supervision system and method
CN109656973B (en) Target object association analysis method and device
WO2020062702A9 (en) Method and device for sending text messages, computer device and storage medium
CN110750414B (en) Mobile data monitoring and analyzing method and device, computer equipment and storage medium
CN110647913B (en) Abnormal data detection method and device based on clustering algorithm
CN114997663A (en) Asset risk early warning method and system based on automatic asset identification
CN112101867A (en) Information generation method and system for goods on goods shelf
CN116610821B (en) Knowledge graph-based enterprise risk analysis method, system and storage medium
CN113159246B (en) Steel mill cargo identification method and device based on two-dimensional code label and computer equipment
CN111461625A (en) Logistics monitoring information exchange management system
CN113743547A (en) Asset supervision method and platform based on RFID (radio frequency identification) tag and storage medium
CN112837008A (en) Bar code reading method, device, equipment and storage medium
CN116052848B (en) Data coding method and system for medical imaging quality control
CN113902065B (en) Outdoor chassis operation and maintenance system and method based on electronic tag
CN111652281B (en) Information data classification method, device and readable storage medium
CN114493159A (en) Node position checking method and device based on MES system
CN113344493A (en) Intelligent warehouse checking method based on Internet of things perception
CN114091126A (en) BOM arrangement checking system of PCBA
CN113887275A (en) Pathological interpretation method and system based on remote film reading annotation and readable storage medium
CN111580894A (en) Data analysis early warning method, device, computer system and readable storage medium
CN110991823A (en) Method and device for processing service data, computer equipment and storage medium
CN111209397A (en) Method for determining enterprise industry category
CN116402571B (en) Budget data processing method, device, equipment and storage medium
CN117112846B (en) Multi-information source license information management method, system and medium

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