CN113362009A - Material inventory management method, system and computer storage medium - Google Patents
Material inventory management method, system and computer storage medium Download PDFInfo
- Publication number
- CN113362009A CN113362009A CN202110725536.XA CN202110725536A CN113362009A CN 113362009 A CN113362009 A CN 113362009A CN 202110725536 A CN202110725536 A CN 202110725536A CN 113362009 A CN113362009 A CN 113362009A
- Authority
- CN
- China
- Prior art keywords
- electronic product
- storage
- warehousing
- warehouse
- product material
- 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.)
- Withdrawn
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
- G06Q10/08—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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- 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
- G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
-
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
Abstract
The invention discloses a material inventory management method, a system and a computer storage medium, which carry out electromagnetic interference noise frequency detection on a storage space corresponding to an electronic product material warehouse, compare the electromagnetic interference noise frequency detection result with the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type required to be stored by the electronic product material warehouse, thereby carrying out warehouse area division on the storage space corresponding to the electronic product material warehouse, realizing the full consideration of electromagnetic interference when the electronic product materials are stored in a warehouse, effectively avoiding the electromagnetic interference hidden trouble of the electronic product materials in the warehousing process, and respectively carrying out appearance detection and battery power detection when the electronic product materials are put in or taken out of the warehouse, thereby obtaining the comprehensive warehousing quality coefficient corresponding to the electronic product materials, realizing the warehousing comprehensive quality evaluation of the electronic product materials, the evaluation index of the storage quality of the electronic product materials is expanded, and the control level of the storage products is improved.
Description
Technical Field
The invention belongs to the technical field of material inventory management, particularly relates to electronic product material inventory management, and particularly relates to a material inventory management method, a material inventory management system and a computer storage medium.
Background
With the increasingly intense competition among industries, various industries pay attention to cost control, and people increasingly recognize the importance of material inventory management in cost control. Taking the electronic product industry as an example, the electronic product manufacturing industry faces a fierce competition of the industry, and the quality of inventory management not only affects the inventory management cost of an enterprise, but also affects the customer service level of the enterprise and the acquisition of enterprise orders.
However, the inventory management of electronic product materials by the electronic product manufacturing enterprises at present is not high in the degree of fitting with the characteristics of the electronic products, so that the inventory management of the electronic products is not in place, which leads to the low inventory quality of the electronic product materials, and is embodied in the following aspects:
1. because the electronic product is assembled by various electronic devices, the electronic product is easy to be subjected to electromagnetic interference, and the electromagnetic interference can influence the use performance of the electronic product, however, the electromagnetic interference condition of a corresponding storage area of the electronic product is not considered in the process of warehousing and storing the electronic product by an electronic product manufacturing enterprise at present, so that a larger electromagnetic interference hidden danger exists in the warehousing process of the electronic product;
2. the existing electronic products are all internally provided with batteries, when the storage quality of electronic product materials is evaluated at present, only the appearance of the electronic product materials is subjected to storage and delivery quality inspection, so that the storage quality of the electronic product materials is obtained, the detection of the battery power of the electronic product is ignored, the battery power of the electronic product is changed in the storage process and is one of indexes for reflecting the storage quality of the electronic product materials, and the storage quality evaluation index of the electronic product materials at present is one-sided and cannot comprehensively reflect the storage quality of the electronic product materials.
Disclosure of Invention
In order to overcome the above disadvantages, the present invention provides a material inventory management method, system and computer storage medium, which can effectively solve the problems mentioned in the background art.
The purpose of the invention can be realized by the following technical scheme:
the first aspect of the invention provides a material inventory management method, which comprises the following steps:
step 1, dividing the warehouse area of the electronic product material warehouse, namely dividing the storage space corresponding to the electronic product material warehouse according to a set dividing mode through an electronic product material warehouse area dividing module, and numbering the divided warehouse areas, wherein each warehouse area corresponds to each electronic product type one by one;
step 2, setting storage intervals of the storage areas, namely setting a plurality of storage intervals for each storage area according to the product model of the storage area corresponding to the electronic product type, and numbering the set storage intervals by using a storage area storage interval setting module, wherein each storage interval corresponds to each product model one by one;
step 3, performing warehousing quality inspection on the electronic product materials to be stored currently through a warehousing quality inspection module, further judging whether the warehousing quality inspection of the electronic product materials is qualified, if so, executing the step 4, and if not, stopping warehousing;
step 4, determining target storage parameters, namely determining the target storage parameters of the electronic product materials through a target storage parameter determining module;
step 5, inquiring the residual inventory, namely extracting the current residual inventory of the target storage parameters corresponding to the electronic product materials from the inventory electronic management platform through a residual inventory inquiring module according to the target storage parameters corresponding to the electronic product materials, if the current residual inventory is greater than zero, executing the step 5, otherwise, not warehousing;
step 6, acquiring warehousing parameters, namely pasting warehousing labels on the front sides of the electronic product materials through a warehousing parameter acquisition module, warehousing and storing the electronic product materials according to target storage parameters corresponding to the electronic product materials, and acquiring warehousing parameters corresponding to the electronic product materials, wherein the warehousing parameters comprise target warehouse area numbers, target storage interval numbers, warehousing battery electric quantity, label numbers and warehousing three-dimensional images and are marked in an electronic warehousing management platform;
step 7, storage parameter detection, namely detecting the storage parameters corresponding to the electronic product materials in each storage section of each storage area respectively through a storage parameter detection module according to the storage parameter detection terminals in the storage labels of the electronic product materials;
step 8, evaluating the storage suitability coefficient, namely evaluating the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area through a storage suitability coefficient evaluation module;
step 9, buzzing early warning, namely comparing the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area with a preset value through an early warning module, and when the storage environment suitability coefficient is smaller than the preset value, buzzing early warning is carried out on the electronic product material;
step 10, acquiring the delivery parameters of the electronic product materials, namely acquiring the delivery parameters of the electronic product materials to be delivered when the electronic product materials are delivered through a delivery parameter acquisition module;
and 11, analyzing the electronic product warehousing quality, namely analyzing the comprehensive warehousing quality coefficient corresponding to the electronic product materials according to the ex-warehouse parameters and the in-warehouse parameters corresponding to the electronic product materials through an electronic product warehousing quality analysis module, comparing the comprehensive warehousing quality coefficient with a set value, and if the comprehensive warehousing quality coefficient is smaller than the set value, not ex-warehouse.
In an implementation manner of the first aspect of the present invention, a specific partitioning method corresponding to the set partitioning manner is as follows:
a1, performing preliminary region division on the storage space corresponding to the electronic product material warehouse to obtain each divided sub-region;
a2, performing electromagnetic interference noise frequency detection on each divided sub-area to obtain an electromagnetic interference noise frequency threshold corresponding to each sub-area;
a3, acquiring the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type required to be stored in the electronic product material warehouse;
a4, extracting an electromagnetic interference noise frequency upper limit threshold from electromagnetic interference noise frequency thresholds corresponding to the sub-regions, and comparing and matching the electromagnetic interference noise frequency upper limit threshold with the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type to obtain the electronic product type successfully matched with each sub-region;
a5, if there is only one electronic product type successfully matched with a certain sub-region, the sub-region is used as the library region corresponding to the successfully matched electronic product type, and if there is more than one electronic product type successfully matched with a certain sub-region, the memory space of the sub-region is divided into regions again according to the number of the successfully matched electronic product types, so as to obtain the library regions corresponding to the successfully matched electronic product types.
In an implementation manner of the first aspect of the present invention, in step 3, the warehousing quality inspection module performs warehousing quality inspection on the electronic product materials to be currently stored, and further determines whether the warehousing quality inspection of the electronic product materials is qualified, and the specific operation method of the present invention executes the following steps:
b1, scanning the three-dimensional image of the electronic product material to be stored to obtain a three-dimensional image corresponding to the electronic product material, and recording the three-dimensional image as a warehousing three-dimensional image;
b2, performing appearance unqualified feature extraction on the warehousing three-dimensional image corresponding to the electronic product material, if the appearance unqualified feature is not extracted, indicating that the warehousing quality inspection of the electronic product material to be stored is qualified, and if the appearance unqualified feature can be extracted, indicating that the warehousing quality inspection of the electronic product material to be stored is unqualified.
In an implementation manner of the first aspect of the present invention, in step 4, a target storage parameter determination module determines a target storage parameter of the electronic product material, where the target storage parameter includes a target storage area number and a target storage interval number, and a specific determination process of the target storage parameter includes the following steps:
c1, extracting the appearance characteristics of the warehousing three-dimensional image corresponding to the electronic product material;
c2, comparing the extracted appearance characteristics corresponding to the electronic product materials with appearance characteristics corresponding to various electronic product types, and screening out the electronic product types corresponding to the electronic product materials;
c3, acquiring the library area number corresponding to the electronic product material according to the corresponding relation between the electronic product type and the library area number, and marking the library area as a target library area;
and C4, extracting the product model from the warehousing three-dimensional image corresponding to the electronic product material, and acquiring the storage interval number corresponding to the electronic product material according to the corresponding relation between the product model and the storage interval number, wherein the storage interval is marked as a target storage interval.
In an implementation manner of the first aspect of the present invention, a tag number, a storage parameter detection terminal and an early warning terminal are arranged on the warehousing tag, the storage parameter detection terminal includes a temperature sensor, a humidity sensor, an illumination sensor, a pressure sensor and a dust concentration sensor, wherein the temperature sensor is used for detecting a temperature of the electronic product during storage, the humidity sensor is used for detecting a humidity of the electronic product during storage, the illumination sensor is used for detecting an illumination intensity of the electronic product during storage, the pressure sensor is used for detecting an extrusion force applied to the electronic product during storage, the dust concentration sensor is used for detecting a dust concentration of the electronic product during storage, and the early warning terminal is a buzzer and is used for buzzing and early warning.
In an implementation manner of the first aspect of the present invention, in the step 8, the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area is evaluated, and the specific evaluation method performs the following steps:
d1, numbering each warehouse area divided by the electronic product warehouse as 1,2, a.
D2, counting the label numbers corresponding to the electronic product materials stored in each storage interval of each library area, wherein the label numbers can be marked as 1, 2.. multidot.k.. multidot.z;
d3, forming the storage parameter set P of the electronic product material by the storage parameters corresponding to the electronic product material stored in each storage interval of each storage areau ij(pu ij1,pu ij2,...,pu ijk,...,pu ijz)，pu ijk is a storage parameter corresponding to a kth electronic product material stored in a jth storage interval of the ith storage area, u is a storage parameter, and u is w1, w2, w3, w4 and w5 which are respectively expressed as temperature, humidity, illumination intensity, extrusion force and dust concentration;
d4, extracting standard storage parameters corresponding to each electronic product type and each product type from the storage database, and acquiring the standard storage parameters corresponding to each storage interval of each storage area according to the corresponding relation between the electronic product type and the storage area number and the corresponding relation between the product type and the storage interval number;
d5, comparing the electronic product material storage parameter set with the standard storage parameters corresponding to each storage interval of each storage area, and evaluating the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area according to the comparison result, wherein the evaluation calculation formula is
Expressed as a storage suitability coefficient corresponding to the kth electronic product material in the jth storage interval of the ith storage area,
and expressing the standard storage parameters corresponding to the jth storage interval corresponding to the ith library area.
In an implementation manner of the first aspect of the present invention, in the step 10, the electronic product material to be delivered from the warehouse is subjected to warehouse-out parameter acquisition, where the warehouse-out parameter includes a warehouse-out three-dimensional image and a warehouse-out battery capacity, and a specific acquisition process is as follows:
e1, scanning the three-dimensional image of the electronic product material to be delivered out of the warehouse to obtain a three-dimensional image corresponding to the electronic product material to be delivered out of the warehouse, and recording the three-dimensional image as a three-dimensional image for delivery out of the warehouse;
e2, detecting the electric quantity of the ex-warehouse battery for the electronic product material to be ex-warehouse, and obtaining the electric quantity of the out-warehouse battery corresponding to the electronic product material to be ex-warehouse.
In an implementation manner of the first aspect of the present invention, in step 11, the electronic product warehousing quality analysis module analyzes the comprehensive warehousing quality coefficient corresponding to the electronic product material according to the ex-warehouse parameter corresponding to the electronic product material, and the specific analysis process is as follows:
f1, acquiring warehousing parameters corresponding to the electronic product materials to be delivered, and extracting warehousing three-dimensional images from the warehousing parameters;
f2 pairing the electronic product to be deliveredComparing the corresponding ex-warehouse three-dimensional image with the in-warehouse three-dimensional image, judging whether an unqualified-appearance region exists, if so, identifying unqualified-appearance characteristics and region area corresponding to the unqualified-appearance region, and calculating the appearance warehousing quality coefficient corresponding to the electronic product material to be ex-warehouse according to the calculation formula
Epsilon represents an influence weight coefficient of the unqualified appearance region corresponding to the unqualified appearance feature, and s represents the area of the region corresponding to the unqualified appearance region;
f3, extracting the electric quantity of the warehousing battery from the warehousing parameters corresponding to the electronic product materials to be delivered;
f4, comparing the electric quantity of the ex-warehouse battery corresponding to the electronic product material to be ex-warehouse with the electric quantity of the in-warehouse battery, and calculating the battery electric quantity storage quality coefficient corresponding to the electronic product material to be ex-warehouse, wherein the calculation formula is
qGo outThe electric quantity of the ex-warehouse battery corresponding to the electronic product material to be ex-warehouse is expressed as qIntoThe electric quantity of the warehousing battery corresponding to the electronic product material to be delivered is represented;
f5, calculating the comprehensive storage quality coefficient corresponding to the electronic product material to be delivered according to the appearance storage quality coefficient and the battery power storage quality coefficient corresponding to the electronic product material to be delivered, wherein the calculation formula is
Psi is a comprehensive storage quality coefficient corresponding to the electronic product materials to be delivered, eta and sigma are an appearance storage quality coefficient and a battery electric quantity storage quality coefficient corresponding to the electronic product materials to be delivered, a and b are weighting coefficients of appearance and battery electric quantity corresponding to storage quality, a + b is 1, a and b are numbers>b。
The invention provides a material inventory management system, an electronic product material warehouse area dividing module is connected with an area storage area setting module, the area storage area setting module is connected with an warehousing quality inspection module, the warehousing quality inspection module is connected with a target storage parameter determining module, the target storage parameter determining module is connected with a residual inventory quantity query module, the residual inventory quantity query module is connected with an warehousing parameter acquisition module, the warehousing parameter acquisition module is connected with a storage parameter detection module, the storage parameter detection module and a storage database are both connected with a storage suitability coefficient evaluation module, the storage suitability coefficient evaluation module is connected with an early warning module, and the ex-warehouse parameter acquisition module and the warehousing parameter acquisition module are both connected with an electronic product quality analysis module.
A third aspect of the present invention provides a computer storage medium, where a computer program is burned in the computer storage medium, and when the computer program runs in a memory of a server, the method for managing a material inventory according to the present invention is implemented.
Based on any one of the aspects, the invention has the beneficial effects that:
1. according to the invention, the storage space corresponding to the electronic product material warehouse is subjected to electromagnetic interference noise frequency detection, the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type required to be stored in the electronic product material warehouse is obtained, and the electromagnetic interference noise frequency detection result is compared with the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type required to be stored in the electronic product material warehouse, so that the storage space corresponding to the electronic product material warehouse is divided into the storage areas, each storage area corresponds to one electronic product type, the sufficient consideration of electromagnetic interference during the warehousing and storage of the electronic product materials is realized, the electromagnetic interference hidden danger of the electronic product materials in the warehousing process is effectively avoided, and the use performance of the electronic products is favorably ensured not to be damaged.
2. According to the invention, the warehousing parameters and the ex-warehouse parameters of the electronic product materials are obtained by respectively carrying out appearance detection and battery electric quantity detection on the electronic product materials in and out of a warehouse, and then the ex-warehouse parameters and the warehousing parameters are compared to obtain the comprehensive warehousing quality coefficient corresponding to the electronic product materials, the evaluation index of the warehousing quality of the electronic product materials is expanded, the obtained comprehensive warehousing quality coefficient can comprehensively reflect the warehousing quality of the electronic product materials, and further the control level of the warehousing products is improved.
3. According to the invention, the storage parameters of the electronic product materials are detected in real time during the storage period of the electronic product materials, so that the storage suitability coefficient corresponding to the electronic product materials is obtained, and is compared with the preset value, and then the electronic product materials smaller than the preset value are early warned, so that the detection and early warning of the storage conditions of the electronic product materials are realized.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a flow chart of the steps of a method of the present invention;
fig. 2 is a schematic diagram of the system module connection according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a first aspect of the present invention provides a material inventory management method, including the following steps:
step 1, electronic product material warehouse area division, namely performing area division on a storage space corresponding to an electronic product material warehouse according to a set division mode through an electronic product material warehouse area division module, and numbering each divided area, wherein each area corresponds to each electronic product type one by one, and a specific division method corresponding to the set division mode is as follows:
a1, performing preliminary region division on the storage space corresponding to the electronic product material warehouse to obtain each divided sub-region;
a2, performing electromagnetic interference noise frequency detection on each divided sub-area to obtain an electromagnetic interference noise frequency threshold corresponding to each sub-area;
a3, acquiring the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type required to be stored in the electronic product material warehouse, wherein the electronic product type comprises a smart phone, a tablet, a watch, a game machine and the like;
a4, extracting an electromagnetic interference noise frequency upper limit threshold from electromagnetic interference noise frequency thresholds corresponding to the sub-regions, and comparing and matching the electromagnetic interference noise frequency upper limit threshold with the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type to obtain the electronic product type successfully matched with each sub-region;
a5, if only one electronic product type is matched in correspondence with a certain sub-region, the sub-region is used as a library region corresponding to the successfully matched electronic product type, and if more than one electronic product type is matched in correspondence with the certain sub-region, the storage space of the sub-region is subjected to secondary region division according to the number of the successfully matched electronic product types to obtain the library regions corresponding to the successfully matched electronic product types;
in the embodiment, the storage space corresponding to the electronic product material warehouse is subjected to electromagnetic interference noise frequency detection, and the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type required to be stored in the electronic product material warehouse is obtained, so that the electromagnetic interference noise frequency detection result is compared with the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type required to be stored in the electronic product material warehouse, and thus the storage space corresponding to the electronic product material warehouse is divided into the storage areas, each storage area corresponds to one electronic product type, the sufficient consideration of electromagnetic interference during the warehousing and storage of the electronic product material is realized, the electromagnetic interference hidden danger of the electronic product material in the warehousing process is effectively avoided, and the use performance of the electronic product is favorably ensured not to be damaged;
step 2, setting storage intervals of the storage areas, namely setting a plurality of storage intervals for each storage area according to the product model of the storage area corresponding to the electronic product type, and numbering the set storage intervals by using a storage interval setting module, wherein each storage interval corresponds to each product model one by one, and the specific setting method of the storage intervals comprises the following steps:
s1, counting all product model numbers of the electronic product types corresponding to the library areas, and determining the number of storage intervals correspondingly set in each library area according to the obtained product model numbers;
s2, acquiring size parameters corresponding to each product model under the electronic product type corresponding to each library area, wherein the size parameters comprise length and width;
s3, setting the section length and the section width corresponding to each storage section according to the acquired dimension parameters, wherein the section length and the section width set by each storage section are slightly larger than the length and the width of the product model corresponding to the storage section in order to enable the electronic product materials to be easily put in and taken out of the storage section;
step 3, electronic product material warehousing quality inspection, namely performing warehousing quality inspection on the electronic product material to be stored currently through a warehousing quality inspection module, and further judging whether the electronic product material is qualified in warehousing quality inspection, wherein the specific operation method comprises the following steps:
b1, carrying out three-dimensional image scanning on the electronic product materials to be stored to obtain three-dimensional images corresponding to the electronic product materials, wherein the three-dimensional images are recorded as warehousing three-dimensional images, and the obtained three-dimensional images of the electronic product materials can show the omnibearing appearance images of the electronic product materials in a three-dimensional manner, so that the problem that the appearance display omission of the electronic product is easily caused by carrying out planar two-dimensional image scanning on the electronic product materials is solved;
b2, performing appearance unqualified feature extraction on the warehousing three-dimensional image corresponding to the electronic product material, wherein the appearance unqualified features comprise damage, cracks and paint falling, if the appearance unqualified features are not extracted, the warehousing quality inspection of the electronic product material to be stored is qualified, and if the appearance unqualified features can be extracted, the warehousing quality inspection of the electronic product material to be stored is unqualified;
if the product is qualified, executing the step 4, and if the product is not qualified, stopping warehousing;
in the embodiment, the electronic product materials which are unqualified in-storage quality inspection can be removed by performing in-storage quality inspection on the electronic product materials, so as to ensure that the electronic product materials which are in storage are qualified in quality inspection;
and 4, determining target storage parameters, namely determining the target storage parameters of the electronic product materials through a target storage parameter determining module, wherein the target storage parameters comprise a target storage area number and a target storage interval number, and the specific determining process of the target storage parameters comprises the following steps:
c1, extracting the appearance characteristics of the warehousing three-dimensional image corresponding to the electronic product material, wherein the appearance characteristics comprise shape, volume, color, texture and the like;
c2, comparing the extracted appearance characteristics corresponding to the electronic product materials with appearance characteristics corresponding to various electronic product types, and screening out the electronic product types corresponding to the electronic product materials;
c3, acquiring the library area number corresponding to the electronic product material according to the corresponding relation between the electronic product type and the library area number, and marking the library area as a target library area;
c4, extracting a product model from the warehousing three-dimensional image corresponding to the electronic product material, and acquiring a storage interval number corresponding to the electronic product material according to the corresponding relation between the product model and the storage interval number, wherein the storage interval is marked as a target storage interval;
step 5, inquiring the residual inventory, namely extracting the current residual inventory of the target storage parameters corresponding to the electronic product materials from the inventory electronic management platform through a residual inventory inquiring module according to the target storage parameters corresponding to the electronic product materials, if the current residual inventory is greater than zero, executing the step 5, otherwise, not warehousing;
step 6, warehouse entry parameter acquisition, namely pasting a warehouse entry label on the front surface of the electronic product material through a warehouse entry parameter acquisition module, wherein the warehouse entry label is provided with a label number, a storage parameter detection terminal and an early warning terminal, the storage parameter detection terminal comprises a temperature sensor, a humidity sensor, an illumination sensor, a pressure sensor and a dust concentration sensor, the temperature sensor is used for detecting the temperature of the electronic product material during the storage period, the humidity sensor is used for detecting the humidity of the electronic product material during the storage period, the illumination sensor is used for detecting the illumination intensity of the electronic product material during the storage period, the pressure sensor is used for detecting the extrusion force of the electronic product material during the storage period, the dust concentration sensor is used for detecting the dust concentration of the electronic product material during the storage period, and the early warning terminal is a buzzer and is used for buzzing early warning, storing the electronic product materials in a target storage interval corresponding to a target storage area according to target storage parameters corresponding to the electronic product materials, updating the residual inventory of the target storage interval corresponding to the target storage area in an inventory electronic management platform after the storage is finished, and simultaneously acquiring warehousing parameters corresponding to the electronic product materials, wherein the warehousing parameters comprise a target storage area number, a target storage interval number, warehousing battery electric quantity, a label number and a warehousing three-dimensional image and are marked in the inventory electronic management platform;
in the embodiment, the electronic product materials qualified in warehousing quality inspection are subjected to warehousing label pasting in the warehousing storage process, so that convenience is provided for warehousing number marking of the electronic product materials on one hand, and a foundation is provided for storage parameter detection of the electronic product materials on the other hand;
step 7, storage parameter detection, namely detecting storage parameters corresponding to the electronic product materials in each storage interval of each storage area respectively through a storage parameter detection module according to a storage parameter detection terminal in a storage label of the electronic product materials, wherein the storage parameters comprise temperature, humidity, illumination intensity, extrusion force and dust concentration;
and 8, evaluating the storage suitability coefficient, namely evaluating the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area through a storage suitability coefficient evaluation module, wherein the specific evaluation method comprises the following steps:
d1, numbering each warehouse area divided by the electronic product warehouse as 1,2, a.
D2, counting the label numbers corresponding to the electronic product materials stored in each storage interval of each library area, wherein the label numbers can be marked as 1, 2.. multidot.k.. multidot.z;
d3, forming the storage parameter set P of the electronic product material by the storage parameters corresponding to the electronic product material stored in each storage interval of each storage areau ij(pu ij1,pu ij2,...,pu ijk,...,pu ijz)，pu ijk is a storage parameter corresponding to a kth electronic product material stored in a jth storage interval of the ith storage area, u is a storage parameter, and u is w1, w2, w3, w4 and w5 which are respectively expressed as temperature, humidity, illumination intensity, extrusion force and dust concentration;
d4, extracting standard storage parameters corresponding to each electronic product type and each product model from the storage database, wherein the standard storage parameters are standard temperature, standard humidity, standard illumination intensity, standard extrusion force and standard dust concentration, and acquiring the standard storage parameters corresponding to each storage interval of each storage area according to the corresponding relation between the electronic product type and the storage area number and the corresponding relation between the product type and the storage interval number;
d5, comparing the electronic product material storage parameter set with the standard storage parameters corresponding to each storage interval of each storage area, and evaluating the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area according to the comparison result, wherein the evaluation calculation formula is
Expressed as the storage suitability corresponding to the kth electronic product material in the jth storage interval of the ith storage areaThe coefficients of which are such that,
the storage suitability coefficient is larger, and the storage suitability is better;
the storage parameters of the electronic product material are selected to be temperature, humidity, illumination intensity, extrusion force and dust concentration, and the reason is that the electronic product is composed of electronic equipment which is easily influenced by temperature, humidity, illumination intensity, extrusion force and dust concentration, when the temperature is higher, the humidity is higher, the illumination intensity is higher, and the dust concentration is higher, the sensitivity of the electronic equipment is influenced, so that the use performance of the electronic product is influenced, and when the extrusion force is higher, the appearance of the electronic product is collided and the integrity of the appearance of the electronic product is influenced;
step 9, buzzing early warning, namely comparing the storage suitability coefficient corresponding to each electronic product material in each storage section of each storage area with a preset value through an early warning module, and when the storage environment suitability coefficient is smaller than the preset value, starting an early warning terminal in the warehousing label corresponding to the electronic product material to buzze early warning so as to remind warehouse management personnel to notice;
according to the electronic product storage condition detection method and device, the storage parameters of the electronic product materials are detected in real time during the storage period of the electronic product materials, the storage suitability coefficient corresponding to the electronic product materials is obtained, the storage suitability coefficient is compared with the preset value, and then early warning is carried out on the electronic product materials smaller than the preset value, detection and early warning of the electronic product material storage conditions are achieved, the problem that the electronic product material storage conditions are not found in time when the electronic product material storage conditions are not suitable can be greatly avoided through detection of the storage conditions of the electronic product materials, the occurrence of product damage caused by the fact that the electronic product materials are not suitable for the storage conditions is effectively reduced, and further the storage safety of the electronic product materials is guaranteed;
step 10, acquiring the delivery parameters of the electronic product materials, namely acquiring the delivery parameters of the electronic product materials to be delivered when the electronic product materials are delivered through a delivery parameter acquisition module, wherein the delivery parameters comprise delivery three-dimensional images and delivery battery electric quantity, and the specific acquisition process comprises the following steps:
e1, scanning the three-dimensional image of the electronic product material to be delivered out of the warehouse to obtain a three-dimensional image corresponding to the electronic product material to be delivered out of the warehouse, and recording the three-dimensional image as a three-dimensional image for delivery out of the warehouse;
e2, detecting the electric quantity of the ex-warehouse battery of the electronic product material to be ex-warehouse, and obtaining the electric quantity of the out-warehouse battery corresponding to the electronic product material to be ex-warehouse;
step 11, analyzing the electronic product storage quality, namely analyzing a comprehensive storage quality coefficient corresponding to the electronic product materials according to the ex-warehouse parameters and the in-warehouse parameters corresponding to the electronic product materials by an electronic product storage quality analysis module, wherein the specific analysis process is as follows:
f1, extracting warehousing parameters corresponding to the electronic product materials to be delivered from the warehousing electronic management platform according to the label numbers of the electronic product materials, and extracting warehousing three-dimensional images from the warehousing parameters;
f2, comparing the three-dimensional warehouse-out image and the three-dimensional warehouse-in image corresponding to the electronic product material to be warehouse-out, judging whether an unqualified-appearance area exists, if so, identifying the unqualified-appearance characteristic and the area corresponding to the unqualified-appearance area, and calculating the appearance warehousing quality coefficient corresponding to the electronic product material to be warehouse-out according to the calculation formula
Epsilon represents an influence weight coefficient of the unqualified appearance region corresponding to the unqualified appearance feature, and s represents an area of the unqualified appearance region corresponding to the unqualified appearance region, wherein the larger the appearance warehousing quality coefficient is, the better the appearance warehousing quality is shown;
f3, extracting the electric quantity of the warehousing battery from the warehousing parameters corresponding to the electronic product materials to be delivered;
f4, comparing the electric quantity of the ex-warehouse battery corresponding to the electronic product material to be ex-warehouse with the electric quantity of the in-warehouse battery, and calculating the battery electric quantity storage quality coefficient corresponding to the electronic product material to be ex-warehouse, wherein the calculation formula is
qGo outThe electric quantity of the ex-warehouse battery corresponding to the electronic product material to be ex-warehouse is expressed as qIntoThe storage quality coefficient of the battery electric quantity is larger, and the storage quality of the battery electric quantity is better;
f5, calculating the comprehensive storage quality coefficient corresponding to the electronic product material to be delivered according to the appearance storage quality coefficient and the battery power storage quality coefficient corresponding to the electronic product material to be delivered, wherein the calculation formula is
Psi is a comprehensive storage quality coefficient corresponding to the electronic product materials to be delivered, eta and sigma are an appearance storage quality coefficient and a battery electric quantity storage quality coefficient corresponding to the electronic product materials to be delivered, a and b are weighting coefficients of appearance and battery electric quantity corresponding to storage quality, a + b is 1, a and b are numbers>And b, comparing the data with the set value, and if the data is smaller than the set value, not taking the data out of the warehouse.
According to the method, the appearance detection and the battery power detection are respectively carried out on the electronic product materials in and out of the warehouse, the warehousing parameters and the ex-warehouse parameters of the electronic product materials are obtained, the ex-warehouse parameters and the warehousing parameters are compared, the comprehensive warehousing quality coefficient corresponding to the electronic product materials is obtained, the evaluation index of the warehousing quality of the electronic product materials is expanded, the obtained comprehensive warehousing quality coefficient can comprehensively reflect the warehousing quality of the electronic product materials, and the control level of the warehoused products is improved.
Referring to fig. 2, a second aspect of the present invention provides a material inventory management system, including an electronic product material warehouse area division module, an area storage area setting module, an warehousing quality inspection module, a target storage parameter determination module, a remaining inventory amount query module, a warehousing parameter acquisition module, a storage parameter detection module, a storage database, a storage suitability coefficient evaluation module, an early warning module, a ex-warehouse parameter acquisition module, and an electronic product warehousing quality analysis module, where the storage database is used to store standard storage parameters corresponding to various product models under various electronic product types.
The electronic product material warehouse storage area division module is connected with the storage area setting module, the storage area setting module is connected with the warehousing quality inspection module, the warehousing quality inspection module is connected with the target storage parameter determination module, the target storage parameter determination module is connected with the remaining stock inquiry module, the remaining stock inquiry module is connected with the warehousing parameter acquisition module, the warehousing parameter acquisition module is connected with the storage parameter detection module, the storage parameter detection module and the storage database are both connected with the storage fitness coefficient evaluation module, the storage fitness coefficient evaluation module is connected with the early warning module, and the ex-warehouse parameter acquisition module and the warehousing parameter acquisition module are both connected with the electronic product warehousing quality analysis module.
A third aspect of the present invention provides a computer storage medium, where a computer program is burned in the computer storage medium, and when the computer program runs in a memory of a server, the method for managing a material inventory according to the present invention is implemented.
According to the invention, through carrying out storage area electromagnetic interference consideration, storage parameter detection and storage quality comprehensive evaluation on the electronic product materials in the storage process, the laminating degree of the electronic product material inventory management and the characteristics of the electronic product is improved, the storage inventory management is in place, the storage quality of the electronic product is fully improved, and the inventory management competitiveness of electronic product enterprises is further improved.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (10)
1. A material inventory management method is characterized by comprising the following steps:
step 1, dividing the warehouse area of the electronic product material warehouse, namely dividing the storage space corresponding to the electronic product material warehouse according to a set dividing mode through an electronic product material warehouse area dividing module, and numbering the divided warehouse areas, wherein each warehouse area corresponds to each electronic product type one by one;
step 2, setting storage intervals of the storage areas, namely setting a plurality of storage intervals for each storage area according to the product model of the storage area corresponding to the electronic product type, and numbering the set storage intervals by using a storage area storage interval setting module, wherein each storage interval corresponds to each product model one by one;
step 3, performing warehousing quality inspection on the electronic product materials to be stored currently through a warehousing quality inspection module, further judging whether the warehousing quality inspection of the electronic product materials is qualified, if so, executing the step 4, and if not, stopping warehousing;
step 4, determining target storage parameters, namely determining the target storage parameters of the electronic product materials through a target storage parameter determining module;
step 5, inquiring the residual inventory, namely extracting the current residual inventory of the target storage parameters corresponding to the electronic product materials from the inventory electronic management platform through a residual inventory inquiring module according to the target storage parameters corresponding to the electronic product materials, if the current residual inventory is greater than zero, executing the step 5, otherwise, not warehousing;
step 6, acquiring warehousing parameters, namely pasting warehousing labels on the front sides of the electronic product materials through a warehousing parameter acquisition module, warehousing and storing the electronic product materials according to target storage parameters corresponding to the electronic product materials, and acquiring warehousing parameters corresponding to the electronic product materials, wherein the warehousing parameters comprise target warehouse area numbers, target storage interval numbers, warehousing battery electric quantity, label numbers and warehousing three-dimensional images and are marked in an electronic warehousing management platform;
step 7, storage parameter detection, namely detecting the storage parameters corresponding to the electronic product materials in each storage section of each storage area respectively through a storage parameter detection module according to the storage parameter detection terminals in the storage labels of the electronic product materials;
step 8, evaluating the storage suitability coefficient, namely evaluating the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area through a storage suitability coefficient evaluation module;
step 9, buzzing early warning, namely comparing the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area with a preset value through an early warning module, and when the storage environment suitability coefficient is smaller than the preset value, buzzing early warning is carried out on the electronic product material;
step 10, acquiring the delivery parameters of the electronic product materials, namely acquiring the delivery parameters of the electronic product materials to be delivered when the electronic product materials are delivered through a delivery parameter acquisition module;
and 11, analyzing the electronic product warehousing quality, namely analyzing the comprehensive warehousing quality coefficient corresponding to the electronic product materials according to the ex-warehouse parameters and the in-warehouse parameters corresponding to the electronic product materials through an electronic product warehousing quality analysis module, comparing the comprehensive warehousing quality coefficient with a set value, and if the comprehensive warehousing quality coefficient is smaller than the set value, not ex-warehouse.
2. The material inventory management method according to claim 1, characterized in that: the specific partitioning method corresponding to the set partitioning mode is as follows:
a1, performing preliminary region division on the storage space corresponding to the electronic product material warehouse to obtain each divided sub-region;
a2, performing electromagnetic interference noise frequency detection on each divided sub-area to obtain an electromagnetic interference noise frequency threshold corresponding to each sub-area;
a3, acquiring the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type required to be stored in the electronic product material warehouse;
a4, extracting an electromagnetic interference noise frequency upper limit threshold from electromagnetic interference noise frequency thresholds corresponding to the sub-regions, and comparing and matching the electromagnetic interference noise frequency upper limit threshold with the maximum allowable electromagnetic interference noise frequency corresponding to each electronic product type to obtain the electronic product type successfully matched with each sub-region;
a5, if there is only one electronic product type successfully matched with a certain sub-region, the sub-region is used as the library region corresponding to the successfully matched electronic product type, and if there is more than one electronic product type successfully matched with a certain sub-region, the memory space of the sub-region is divided into regions again according to the number of the successfully matched electronic product types, so as to obtain the library regions corresponding to the successfully matched electronic product types.
3. The material inventory management method according to claim 1, characterized in that: in the step 3, the warehousing quality inspection module performs warehousing quality inspection on the electronic product materials to be stored currently, and further judges whether the warehousing quality inspection of the electronic product materials is qualified, and the specific operation method executes the following steps:
b1, scanning the three-dimensional image of the electronic product material to be stored to obtain a three-dimensional image corresponding to the electronic product material, and recording the three-dimensional image as a warehousing three-dimensional image;
b2, performing appearance unqualified feature extraction on the warehousing three-dimensional image corresponding to the electronic product material, if the appearance unqualified feature is not extracted, indicating that the warehousing quality inspection of the electronic product material to be stored is qualified, and if the appearance unqualified feature can be extracted, indicating that the warehousing quality inspection of the electronic product material to be stored is unqualified.
4. The material inventory management method according to claim 1, characterized in that: in the step 4, a target storage parameter determining module determines a target storage parameter of the electronic product material, wherein the target storage parameter includes a target storage area number and a target storage interval number, and the specific determining process of the target storage parameter includes the following steps:
c1, extracting the appearance characteristics of the warehousing three-dimensional image corresponding to the electronic product material;
c2, comparing the extracted appearance characteristics corresponding to the electronic product materials with appearance characteristics corresponding to various electronic product types, and screening out the electronic product types corresponding to the electronic product materials;
c3, acquiring the library area number corresponding to the electronic product material according to the corresponding relation between the electronic product type and the library area number, and marking the library area as a target library area;
and C4, extracting the product model from the warehousing three-dimensional image corresponding to the electronic product material, and acquiring the storage interval number corresponding to the electronic product material according to the corresponding relation between the product model and the storage interval number, wherein the storage interval is marked as a target storage interval.
5. The material inventory management method according to claim 1, characterized in that: the warehouse entry is provided with label serial number, storage parameter detection terminal and early warning terminal on the label, storage parameter detection terminal includes temperature sensor, humidity transducer, light intensity sensor, pressure sensor and dust concentration sensor, wherein temperature sensor is used for detecting the temperature of electronic product material during the storage, humidity transducer is used for detecting the humidity of electronic product material during the storage, light intensity sensor is used for detecting the illumination intensity of electronic product material during the storage, pressure sensor is used for detecting the extrusion force that electronic product material received during the storage, dust concentration sensor is used for detecting the dust concentration of electronic product material during the storage, the early warning terminal is bee calling organ for the early warning of buzzing.
6. The material inventory management method according to claim 1, characterized in that: in the step 8, the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area is evaluated, and the specific evaluation method comprises the following steps:
d1, numbering each warehouse area divided by the electronic product warehouse as 1,2, a.
D2, counting the label numbers corresponding to the electronic product materials stored in each storage interval of each library area, wherein the label numbers can be marked as 1, 2.. multidot.k.. multidot.z;
d3 corresponding the electronic product materials stored in each storage region of each storage areaStorage parameters form electronic product material storage parameter set Pu ij(pu ij1,pu ij2,...,pu ijk,...,pu ijz)，pu ijk is a storage parameter corresponding to a kth electronic product material stored in a jth storage interval of the ith storage area, u is a storage parameter, and u is w1, w2, w3, w4 and w5 which are respectively expressed as temperature, humidity, illumination intensity, extrusion force and dust concentration;
d4, extracting standard storage parameters corresponding to each electronic product type and each product type from the storage database, and acquiring the standard storage parameters corresponding to each storage interval of each storage area according to the corresponding relation between the electronic product type and the storage area number and the corresponding relation between the product type and the storage interval number;
d5, comparing the electronic product material storage parameter set with the standard storage parameters corresponding to each storage interval of each storage area, and evaluating the storage suitability coefficient corresponding to each electronic product material in each storage interval of each storage area according to the comparison result, wherein the evaluation calculation formula is
Expressed as a storage suitability coefficient corresponding to the kth electronic product material in the jth storage interval of the ith storage area,
and expressing the standard storage parameters corresponding to the jth storage interval corresponding to the ith library area.
7. The material inventory management method according to claim 1, characterized in that: in the step 10, the electronic product material to be delivered is subjected to delivery parameter acquisition, where the delivery parameters include a delivery three-dimensional image and a delivery battery capacity, and the specific acquisition process is as follows:
e1, scanning the three-dimensional image of the electronic product material to be delivered out of the warehouse to obtain a three-dimensional image corresponding to the electronic product material to be delivered out of the warehouse, and recording the three-dimensional image as a three-dimensional image for delivery out of the warehouse;
e2, detecting the electric quantity of the ex-warehouse battery for the electronic product material to be ex-warehouse, and obtaining the electric quantity of the out-warehouse battery corresponding to the electronic product material to be ex-warehouse.
8. The material inventory management method according to claim 1, characterized in that: in the step 11, the comprehensive storage quality coefficient corresponding to the electronic product material is analyzed by the electronic product storage quality analysis module according to the delivery parameters corresponding to the electronic product material, and the specific analysis process is as follows:
f1, acquiring warehousing parameters corresponding to the electronic product materials to be delivered, and extracting warehousing three-dimensional images from the warehousing parameters;
f2, comparing the three-dimensional warehouse-out image and the three-dimensional warehouse-in image corresponding to the electronic product material to be warehouse-out, judging whether an unqualified-appearance area exists, if so, identifying the unqualified-appearance characteristic and the area corresponding to the unqualified-appearance area, and calculating the appearance warehousing quality coefficient corresponding to the electronic product material to be warehouse-out according to the calculation formula
Epsilon represents an influence weight coefficient of the unqualified appearance region corresponding to the unqualified appearance feature, and s represents the area of the region corresponding to the unqualified appearance region;
f3, extracting the electric quantity of the warehousing battery from the warehousing parameters corresponding to the electronic product materials to be delivered;
f4, comparing the electric quantity of the ex-warehouse battery corresponding to the electronic product material to be ex-warehouse with the electric quantity of the in-warehouse battery, and calculating the battery electric quantity storage quality coefficient corresponding to the electronic product material to be ex-warehouse, wherein the calculation formula is
qGo outThe delivery battery corresponding to the electronic product material to be deliveredElectric quantity qIntoThe electric quantity of the warehousing battery corresponding to the electronic product material to be delivered is represented;
f5, calculating the comprehensive storage quality coefficient corresponding to the electronic product material to be delivered according to the appearance storage quality coefficient and the battery power storage quality coefficient corresponding to the electronic product material to be delivered, wherein the calculation formula is
Psi is a comprehensive storage quality coefficient corresponding to the electronic product materials to be delivered, eta and sigma are an appearance storage quality coefficient and a battery electric quantity storage quality coefficient corresponding to the electronic product materials to be delivered, a and b are weighting coefficients of appearance and battery electric quantity corresponding to storage quality, a + b is 1, a and b are numbers>b。
9. A material inventory management system, characterized by: the electronic product material warehouse storage area division module is connected with the storage area setting module, the storage area setting module is connected with the warehousing quality inspection module, the warehousing quality inspection module is connected with the target storage parameter determination module, the target storage parameter determination module is connected with the remaining stock inquiry module, the remaining stock inquiry module is connected with the warehousing parameter acquisition module, the warehousing parameter acquisition module is connected with the storage parameter detection module, the storage parameter detection module and the storage database are both connected with the storage fitness coefficient evaluation module, the storage fitness coefficient evaluation module is connected with the early warning module, and the ex-warehouse parameter acquisition module and the warehousing parameter acquisition module are both connected with the electronic product warehousing quality analysis module.
10. A computer storage medium, characterized in that: the computer storage medium is burned with a computer program, which when run in the memory of the server implements the method of any of the above claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110725536.XA CN113362009A (en) | 2021-06-29 | 2021-06-29 | Material inventory management method, system and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110725536.XA CN113362009A (en) | 2021-06-29 | 2021-06-29 | Material inventory management method, system and computer storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113362009A true CN113362009A (en) | 2021-09-07 |
Family
ID=77537020
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110725536.XA Withdrawn CN113362009A (en) | 2021-06-29 | 2021-06-29 | Material inventory management method, system and computer storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113362009A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114331284A (en) * | 2021-12-31 | 2022-04-12 | 深圳市凯东源现代物流股份有限公司 | Intelligent warehousing service management system based on cloud computing |
| CN114971501A (en) * | 2022-07-29 | 2022-08-30 | 国网天津市电力公司物资公司 | Electric power material warehouse-in and warehouse-out monitoring, guiding and analyzing system based on characteristic analysis |
| CN116431712A (en) * | 2023-06-14 | 2023-07-14 | 陕西西煤云商信息科技有限公司 | Warehouse material warehouse-out management method and management system thereof |
| CN117408614A (en) * | 2023-12-15 | 2024-01-16 | 阿尔卑斯系统集成(大连)有限公司 | Intelligent management system and method based on high-precision die |
-
2021
- 2021-06-29 CN CN202110725536.XA patent/CN113362009A/en not_active Withdrawn
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114331284A (en) * | 2021-12-31 | 2022-04-12 | 深圳市凯东源现代物流股份有限公司 | Intelligent warehousing service management system based on cloud computing |
| CN114331284B (en) * | 2021-12-31 | 2023-02-10 | 深圳市凯东源现代物流股份有限公司 | Intelligent warehousing service management system based on cloud computing |
| CN114971501A (en) * | 2022-07-29 | 2022-08-30 | 国网天津市电力公司物资公司 | Electric power material warehouse-in and warehouse-out monitoring, guiding and analyzing system based on characteristic analysis |
| CN114971501B (en) * | 2022-07-29 | 2022-12-09 | 国网天津市电力公司物资公司 | Electric power material warehouse-in and warehouse-out monitoring, guiding and analyzing system based on characteristic analysis |
| CN116431712A (en) * | 2023-06-14 | 2023-07-14 | 陕西西煤云商信息科技有限公司 | Warehouse material warehouse-out management method and management system thereof |
| CN117408614A (en) * | 2023-12-15 | 2024-01-16 | 阿尔卑斯系统集成(大连)有限公司 | Intelligent management system and method based on high-precision die |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113362009A (en) | Material inventory management method, system and computer storage medium | |
| CN111914468A (en) | Intelligent monitoring and analyzing method and device for air pollution | |
| CN111178396A (en) | Method and device for identifying abnormal electricity consumption user | |
| CA2471013A1 (en) | Method and system for analyzing and predicting the behavior of systems | |
| US20140379301A1 (en) | Systems and methods for data-driven anomaly detection | |
| CN115660262A (en) | Intelligent engineering quality inspection method, system and medium based on database application | |
| CN113536440B (en) | Data processing method based on BIM operation and maintenance management system | |
| CN115100471A (en) | Multi-dimensional information acquisition and early warning method for grain storage pests based on mobile terminal | |
| CN114742477A (en) | Enterprise order data processing method, device, equipment and storage medium | |
| CN114862167A (en) | Production safety assessment management method and system for manufacturing production line | |
| CN116523262A (en) | Intelligent planning method, system and medium for production plan based on big data | |
| CN116502925A (en) | Digital factory equipment inspection evaluation method, system and medium based on big data | |
| CN113516313A (en) | Gas anomaly detection method based on user portrait | |
| CN116579804A (en) | Holiday commodity sales prediction method, holiday commodity sales prediction device and computer storage medium | |
| CN111243214A (en) | Industrial machine room fire monitoring system and method based on machine learning | |
| CN114202179A (en) | Target enterprise identification method and device | |
| CN117010601B (en) | Data processing method, device, computer equipment and computer readable storage medium | |
| CN111212434B (en) | WIFI module quality prediction method, device, equipment and storage medium | |
| CN115965625B (en) | Instrument detection device based on visual recognition and detection method thereof | |
| CN112581005A (en) | Food monitoring device and method | |
| CN111260003A (en) | Full-life intelligent management method and system for fire-fighting equipment | |
| CN115187880A (en) | Communication optical cable defect detection method and system based on image recognition and storage medium | |
| CN113962508A (en) | Identification method and identification device for electricity object and electronic equipment | |
| CN114611890A (en) | Jig data management method, device, equipment and storage medium | |
| CN115358336A (en) | Power utilization abnormity detection method and device and electronic equipment |
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 | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20210907 |