CN117592904A - Warehouse-in and warehouse-out material identification and quantity analysis method - Google Patents
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Abstract
The invention discloses a method, a device, equipment and a storage medium for identifying and analyzing the materials in and out of a warehouse, which relate to the technical field of material identification and analysis, and are characterized in that a material identification model is constructed by collecting data of materials in and out of the warehouse of a target warehouse, a management demand threshold of the materials is set, and the operation flow of an analysis warehouse is monitored to evaluate the management demand definition value of the target warehouse, so that data support is provided for further flow optimization, finally, a material identification and quantity statistics analysis report is generated based on the data, the data of the warehouse can be updated and replaced in time, the warehouse position can be mastered in time, the accuracy and efficiency of the material management of the target warehouse are improved, the automation and intelligent material management of the warehouse are realized, a more efficient and scientific management mode is provided for the warehouse operation, the problem that the time difference existing in the current warehouse data dispersion cannot be updated in time is solved, the data replacement can be performed in time, the situation of the warehouse position can be mastered in time, and the high-efficiency management of the warehouse is realized.
Description
Technical Field
The invention relates to the technical field of material identification and analysis, in particular to a method for identifying and analyzing the quantity of materials in and out of a warehouse.
Background
In the field of modern logistics and warehouse management, warehouse entry and exit material identification and quantity analysis are key links for improving warehouse operation efficiency, reducing cost and optimizing inventory level. Traditional manual recording methods are time-consuming and error-prone, and are difficult to meet the increasing logistics speed and the demands of customers for accurate services. Therefore, enterprises turn to an automatic solution, such as computer vision, to automatically recognize information such as the specification, the model, the number and the like of the materials, so as to improve the management and operation efficiency of the warehouse.
For example, publication No.: patent application CN116665195A relates to an article identification method for warehouse management, and belongs to the technical field of image identification. Comprising the following steps: constructing a background model image set H, segmenting articles and backgrounds in the images by an RPCA method, standardizing article area images, identifying article types and outputting identification results, so that the purpose of identifying damaged articles of the labels is achieved. The article identification method for the damage of the warehouse article label has the beneficial effects that the calculated weight is light, the requirement of edge calculation of the nodes of the internet of things can be met, and the identification accuracy is high.
For example, publication No.: the patent application of CN115019300A relates to the technical field of goods identification, and particularly discloses a method for automatically identifying warehouse goods. Constructing three-dimensional models of the warehouses with different models, and generating appearance standard feature data and character standard feature data of a plurality of warehouses; picking up and randomly shooting goods to be identified; carrying out appearance characteristic recognition and matching, and determining a recognition screening range; determining character feature surfaces; and carrying out character feature recognition and matching on the feature face shooting image to generate a cargo recognition result. The method can construct a three-dimensional model of the goods in the warehouse, generate appearance standard feature data and character standard feature data, further conduct appearance feature recognition matching on the goods to be recognized, determine character feature faces to conduct character feature recognition matching after determining a recognition screening range, generate a goods recognition result, and effectively improve the precision of goods recognition, so that different goods with the same or similar appearance can be accurately recognized.
The current electric wire netting supplies are because specification, model are various for electric wire netting supplies management is complicated, and the warehouse entry is more loaded down with trivial details, and electric wire netting supplies attribute is more complicated, has the shortcoming that the standing book is unclear and inventory is inconvenient, especially professional storehouse pilot personnel is inconvenient, lacks necessary hardware support, and current professional storehouse standardization is poor, and intelligent degree is not high, and is high to the hardware dependence degree, and the hardware input is great, has emergency state untimely, and warehouse data dispersion has the time difference to be updated in time, problem that the position can not in time master, consequently needs to improve warehouse management's response speed and accuracy, thereby realizes the high-efficient management of warehouse, ensures to keep competitive advantage in quick change's market environment.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for identifying and analyzing the quantity of materials in and out of a warehouse, which can effectively solve the problems related to the background art.
In order to achieve the above purpose, the invention is realized by the following technical scheme: the method for identifying and analyzing the amount of the materials in and out of the warehouse comprises the steps of obtaining a material in and out identifying request of a target warehouse, constructing a material identifying model of the target warehouse, and evaluating a material identifying characterization value of the target warehouse.
And identifying the characterization value according to the materials of the target warehouse, and carrying out statistics analysis on the material quantity information of the target warehouse to carry out intelligent management prompt of the target warehouse.
Further, the material warehouse-in and warehouse-out identification request of the target warehouse is obtained by the following specific processes: and acquiring a material access identification request of the target warehouse, and identifying and extracting definition data of the material to which the access identification request belongs, wherein the definition data comprises a three-dimensional scanning image and weight.
Further, the material identification characterization value of the evaluation target warehouse comprises the following specific processes: and carrying out intelligent overlapping treatment on the standard three-dimensional images of various materials stored in the material management library and the three-dimensional scanning images of the materials to which the in-out library identification request belongs, and extracting overlapped volumes.
Constructing a material identification model of a target warehouse:
obtaining a material identification characterization value X of the target warehouse, wherein V i Intersection represents the overlapping volume of the three-dimensional scanning image of the goods and materials to which the warehouse-in and warehouse-out identification request belongs and the superposition of the various goods and materials, G Traffic intersection Representing the weight of the materials to which the target warehouse in-out identifying request belongs, G i label Representing reference weights, V, of various materials stored in a materials management library i label Representing standard volumes, delta, of each type of material in a target warehouse stored in a material management warehouse 1 And delta 2 And the correction factors are respectively corresponding to the set material volume and weight, e represents a natural constant, i represents the number of each type of material, i=1, 2,3, & gt, and n, n is the type number of the material.
Further, the statistical analysis of the material quantity information of the target warehouse carries out intelligent management prompt of the target warehouse, and the specific process comprises the following steps: according to the material identification representation value of the target warehouse, checking the identification representation value interval corresponding to each type of material stored in the material management warehouse, extracting the type of the material to which the warehouse-in and warehouse-out identification request belongs, setting a monitoring period, and counting the material quantity information of the target warehouse in the monitoring period, wherein the material quantity information comprises the material identification total number, daily average material warehouse entry quantity, daily average material warehouse exit quantity, daily average material identification missing quantity, each type of material and material daily average state updating frequency.
And analyzing the management demand definition value of the target warehouse, comparing the management demand definition value with the management demand definition threshold stored in the material management library, and if the management demand definition value of the target warehouse is higher than the management demand definition threshold, carrying out intelligent management prompt on the target warehouse.
Further, the management requirement of the target warehouse defines a value, and a specific calculation formula is as follows:
in the method, in the process of the invention,
wherein χ is the management demand definition value of the target warehouse, a 1 And a 2 Respectively setting a storage balance value of a target warehouse and a weight factor corresponding to the storage balance value of the target warehouse, A 1 Representing the warehouse equilibrium value of a target warehouse, A 2 Representing the operational stability index of the target warehouse, S 1 And S is 2 The storage balance characteristic value of the target warehouse and the operation stability characteristic value of the target warehouse are respectively,and->And e represents a natural constant, wherein the correction factors correspond to the set storage balance characterization value and the running stability characterization value respectively.
Further, the storage balance characterization value of the target warehouse comprises the following specific analysis processes: counting the daily average material warehouse entry and daily average material warehouse exit of a target warehouse in a monitoring period, and calculating a first index of storage balance of the target warehouse, wherein the calculation formula is as follows:
wherein X is 1 Equalizing a first index for the warehouse of the target warehouse, wherein DeltaW represents the set containable warehouse reserves of the target warehouse, and W Total (S) Representing the total number of material identifications, gamma, of the target warehouse 1 Representing the set reference identification definition frequency, W Feeding in And W is Out of Respectively representing daily average material stock quantity and daily average material stock quantity of target warehouse, W' represents set daily average material access permission deviation quantity, T Circumference of circumference Number of days, ε, representing the monitoring period 1 And epsilon 2 Compensation factors respectively representing the set daily average material warehouse-in quantity and daily average material warehouse-out quantity.
Counting the time point of each class of materials in the target warehouse entering the warehouse and the time point of each class of materials exiting the warehouse, performing difference processing to obtain the accumulated storage time of each class of materials in the target warehouse, and calculating a storage balance second index of the target warehouse, wherein the calculation formula is as follows:
wherein X is 2 Equalizing the second index, T, for warehousing of the target warehouse i knowledge Representing the accumulated storage time of various materials of a target warehouse, T imax Indicating the maximum storage time of the set materials of each class G More, the Representing the daily average state update frequency of materials in a target warehouse, G More, the Information of material state of target warehouse showing setting and referring to update frequency epsilon 3 Represents the equalization influencing factor epsilon corresponding to the set unit storage time 4 Representing the correction factor, delta, corresponding to the set accumulated storage time 3 Indicating the correction factor corresponding to the set material state update frequency.
The storage balance characterization value of the target warehouse is calculated, and the calculation formula is as follows:
wherein S is 1 Index, θ for storage balance of target warehouse 1 θ 2 Respectively representing the set first index of storage balance and the weight factor corresponding to the second index of storage balance.
Further, the operation stability characterization value of the target warehouse comprises the following specific analysis processes: counting the number of missing daily average material identification and the number of error daily average material identification of a target warehouse in a monitoring period, and calculating a material identification influence index of the target warehouse, wherein the calculation formula is as follows:
wherein X is 3 Identifying an impact index, W, for the supplies of the target warehouse Leakage device Indicating the number of missing daily material identification of a target warehouse, W Leakage device Indicating the number of daily material permission omission of the set target warehouse, W Error correction Indicating the number of average daily material identification errors of the target warehouse, deltaW Error correction A defined value representing the number of errors in the identification of the material set,/->And->Respectively representing the set number of missing daily material identification and the reference definition proportion corresponding to the number of error daily material identification, gamma 2 And gamma 3 Respectively representing the set number of missing daily material identification and the compensation factors corresponding to the number of error daily material identification.
The daily average identification correct material number of the target warehouse in the statistical monitoring period is calculated, and the material identification accurate index of the target warehouse is calculated according to the calculation formula:
wherein X is 4 Accurate index, W, of material identification of target warehouse Positive direction The daily average of the target warehouse is represented to identify the correct material number, delta W Positive direction Reference value indicating that the set day average identifies the correct number of supplies, +.>Indicating the reference definition proportion, gamma corresponding to the number of the correctly identified materials on the set day 4 A compensation factor corresponding to the number of the materials which are identified correctly by the set day; calculating an operation stability characterization value of a target warehouse, wherein the calculation formula is as follows:
wherein S is 2 And the operation stability characterization value, theta 3 and theta 4 of the target warehouse respectively represent the set material identification influence index and the weight factor corresponding to the material identification accuracy index.
The second aspect of the invention provides a warehouse-in and warehouse-out material identification and quantity analysis device, which comprises a processor, and a memory and a network interface which are connected with the processor; the network interface is connected with a nonvolatile memory in the server; and the processor retrieves the computer program from the nonvolatile memory through the network interface when in operation, and runs the computer program through the memory to execute the method for identifying and analyzing the materials in and out of the warehouse.
The third aspect of the invention provides a warehouse entry and exit material identification and quantity analysis device, which comprises a processor, and a memory and a network interface connected with the processor; the network interface is connected with a nonvolatile memory in the server; and the processor retrieves the computer program from the nonvolatile memory through the network interface when in operation, and runs the computer program through the memory to execute the method for identifying and analyzing the materials in and out of the warehouse.
In a fourth aspect, the present invention provides a storage medium for identifying and analyzing the amount of materials in a warehouse, and the computer program, when executed by a processor, implements the method for identifying and analyzing the amount of materials in a warehouse as described above.
The invention has the following beneficial effects:
(1) According to the invention, the object warehouse material management demand definition value is evaluated by collecting the data of object warehouse material entering and exiting, constructing a material identification model, setting the management demand threshold of the material and monitoring and analyzing the operation flow of the warehouse, providing data support for further flow optimization, and finally generating material identification and quantity statistics analysis reports based on the data, so that the data of the warehouse can be updated and replaced in time, the warehouse position can be mastered in time, the accuracy and efficiency of object warehouse material management are improved, warehouse automation and intelligent material management are realized, and a more efficient and scientific management mode is provided for warehouse operation.
(2) According to the invention, the daily average material stock quantity, daily average material stock quantity and daily average material identification omission quantity of the target warehouse in the monitoring period are analyzed, so that the accuracy of stock data can be ensured, the occurrence of backorder or backlog is avoided, the efficiency of whole material management is improved, the problem of potential delay in the operation flow is also facilitated to be revealed, the improvement of the flow is guided, the overall time of material treatment is reduced, and the problem in material management is timely identified and corrected.
(3) The invention can help management personnel to determine excessive or shortage materials by analyzing the accumulated storage time of various materials and the update frequency of warehouse material states, thereby optimizing the stock level and reducing the phenomena of occupation and storage space waste, and the analysis material state update can ensure the real-time property of stock data, and accurate stock and identification data provide reliable input for an automatic system and ensure the effective operation of the automatic system.
(4) According to the invention, the material identification characterization value of the target warehouse is compared with the preset management demand threshold value of the material, so that a basis for making an improved decision according to actual data is provided, the quality of warehouse operation can be monitored, and the risk caused by poor inventory management can be reduced.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
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FIG. 1 is a schematic flow chart of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "open," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like indicate orientation or positional relationships, merely for convenience in describing the present invention and to simplify the description, and do not indicate or imply that the components or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1, the embodiment of the invention provides a method for identifying and analyzing the amount of materials in and out of a warehouse, which comprises the following steps: the method for identifying and analyzing the amount of the materials in and out of the warehouse comprises the steps of obtaining a material in and out identifying request of a target warehouse, constructing a material identifying model of the target warehouse, and evaluating a material identifying characterization value of the target warehouse.
And identifying the characterization value according to the materials of the target warehouse, and carrying out statistics analysis on the material quantity information of the target warehouse to carry out intelligent management prompt of the target warehouse.
In the embodiment, the data of the warehouse in and out are defined and collected, the material identification model is constructed, the management requirement threshold of the materials is set, the operation flow of the warehouse is monitored and analyzed to evaluate the management requirement definition value of the target warehouse, data support is provided for further flow optimization, finally, the data of the warehouse can be updated and replaced in time based on the data to master the position of the warehouse in time, the accuracy and the efficiency of the material management of the target warehouse are improved, the automation and the intellectualization of the material management process of the warehouse are realized, and a more efficient and scientific management mode is provided for warehouse operation.
Specifically, a material warehouse-in and warehouse-out identification request of a target warehouse is obtained, and the specific process is as follows: and acquiring a material access identification request of the target warehouse, and identifying and extracting definition data of the material to which the access identification request belongs, wherein the definition data comprises a three-dimensional scanning image and weight.
In the embodiment, a visual perception model based on a deep neural network technology is adopted, a multi-angle model of a warehouse and materials is built, a computer visual algorithm is applied to intelligently manage warehouse positions, the types and the numbers of the materials at the storage positions are analyzed in real time, and more reasonable, accurate and real-time monitoring and distribution of the warehouse positions are provided for the storage and turnover of the materials.
Specifically, the material identification characterization value of the target warehouse is evaluated, and the specific process comprises the following steps: and carrying out intelligent overlapping treatment on the standard three-dimensional images of various materials stored in the material management library and the three-dimensional scanning images of the materials to which the in-out library identification request belongs, and extracting overlapped volumes.
Constructing a material identification model of a target warehouse:
obtaining a material identification characterization value X of the target warehouse, wherein V i Intersection represents the overlapping volume of the three-dimensional scanning image of the goods and materials to which the warehouse-in and warehouse-out identification request belongs and the superposition of the various goods and materials, G Traffic intersection Representing the weight of the materials to which the target warehouse in-out identifying request belongs, G i label Representing reference weights, V, of various materials stored in a materials management library i label Representing standard volumes, delta, of each type of material in a target warehouse stored in a material management warehouse 1 And delta 2 The correction factors corresponding to the set material volumes and weights are respectively, e represents a natural constant, i represents each type of objectThe number of assets, i=1, 2, 3.
In the embodiment, the overlapping processing can compare the similarity between the standard image and the actual image, reduce error recognition, ensure more accurate recognition of the materials, and the overlapping analysis can also rapidly recognize the inconformity between the stock materials and the records in the database, thereby facilitating real-time checking and stock checking, reducing the manual checking and counting requirements and further reducing the labor cost.
In this embodiment, through the matching of volumes, the system can automatically identify the material category, improves classification efficiency, and the efficiency of quick identification and handling of material, logistics operation is promoted, shortens the time from warehousing to ex-warehouse of material, utilizes three-dimensional image recognition technology, and warehouse can realize automatic material management, improves the accuracy and the efficiency of operation, and this is vital to modern warehouse management system.
In this embodiment, a three-dimensional scanned image of the material can be analyzed using a scanner, and the weight of the material is detected using a weight sensor.
In the embodiment, the material identification characterization value of the target warehouse is evaluated, and a data basis is provided for the subsequent generation of material identification and quantity statistical analysis reports of the target warehouse.
Specifically, the material quantity information of the target warehouse is statistically analyzed, and intelligent management prompt of the target warehouse is carried out, wherein the specific process comprises the following steps: according to the material identification representation value of the target warehouse, checking the identification representation value interval corresponding to each type of material stored in the material management warehouse, extracting the type of the material to which the warehouse-in and warehouse-out identification request belongs, setting a monitoring period, and counting the material quantity information of the target warehouse in the monitoring period, wherein the material quantity information comprises the material identification total number, daily average material warehouse entry quantity, daily average material warehouse exit quantity, daily average material identification missing quantity, each type of material and material daily average state updating frequency.
And analyzing the management demand definition value of the target warehouse, comparing the management demand definition value with the management demand definition threshold stored in the material management library, and if the management demand definition value of the target warehouse is higher than the management demand definition threshold, carrying out intelligent management prompt on the target warehouse.
In this embodiment, the accuracy of inventory data can be ensured by accurately counting the number of in and out materials, which is the basis of inventory management, and the high accuracy of analyzing the correct number of materials to identify errors in inventory can be reduced, and backlog or backlog is avoided, so that the efficiency of overall material management is improved, the analysis of accurate material identification and number analysis helps to maintain optimal inventory levels, reduce excessive and backlog costs, analyze accumulated storage time can reveal potential delays in the operation flow, guide flow improvement, reduce overall time of material processing, and provide quantitative assessment of operational performance by analyzing these data, thereby providing support for formulating improvement strategies and decisions.
Specifically, the management requirement of the target warehouse defines a value, and a specific calculation formula is as follows:
in the method, in the process of the invention,wherein χ is the management demand definition value of the target warehouse, a 1 And a 2 Respectively setting a storage balance value of a target warehouse and a weight factor corresponding to the storage balance value of the target warehouse, A 1 Representing the warehouse equilibrium value of a target warehouse, A 2 Representing the operational stability index of the target warehouse, S 1 And S is 2 The storage balance characteristic value and the operation stability characteristic value of the target warehouse are respectively the storage balance characteristic value and the operation stability characteristic value of the target warehouse>And->And e represents a natural constant, wherein the correction factors correspond to the set storage balance characterization value and the running stability characterization value respectively.
In this embodiment, by analyzing the daily average material stock-in amount, daily average material stock-out amount and daily average material identification omission amount of the target warehouse in the monitoring period, the accuracy of stock data can be ensured, and backlog or backlog is avoided, so that the efficiency of whole material management is improved, the potential delay in the operation flow is also facilitated to be disclosed, the improvement of the flow is guided, the overall time of material processing is reduced, and the problems in material management are timely identified and corrected.
Specifically, the storage balance characterization value of the target warehouse comprises the following specific analysis processes: counting the daily average material warehouse entry and daily average material warehouse exit of a target warehouse in a monitoring period, and calculating a first index of storage balance of the target warehouse, wherein the calculation formula is as follows:
wherein X is 1 Equalizing a first index for the warehouse of the target warehouse, wherein DeltaW represents the set containable warehouse reserves of the target warehouse, and W Total (S) Representing the total number of material identifications, gamma, of the target warehouse 1 Representing the set reference identification definition frequency, W Feeding in And W is Out of Respectively representing daily average material stock quantity and daily average material stock quantity of target warehouse, W' represents set daily average material access permission deviation quantity, T Circumference of circumference Number of days, ε, representing the monitoring period 1 And epsilon 2 Compensation factors respectively representing the set daily average material warehouse-in quantity and daily average material warehouse-out quantity.
Counting the time point of each class of materials in the target warehouse entering the warehouse and the time point of each class of materials exiting the warehouse, performing difference processing to obtain the accumulated storage time of each class of materials in the target warehouse, and calculating a storage balance second index of the target warehouse, wherein the calculation formula is as follows:
wherein X is 2 The second index is equalized for the warehouse of the target warehouse,T i knowledge Representing the accumulated storage time of various materials of a target warehouse, T imax Indicating the maximum storage time of the set materials of each class G More, the Representing the daily average state update frequency of materials in a target warehouse, G More, the Information of material state of target warehouse showing setting and referring to update frequency epsilon 3 Represents the equalization influencing factor epsilon corresponding to the set unit storage time 4 Representing the correction factor, delta, corresponding to the set accumulated storage time 3 Indicating the correction factor corresponding to the set material state update frequency.
The storage balance characterization value of the target warehouse is calculated, and the calculation formula is as follows:
wherein S is 1 Index, θ for storage balance of target warehouse 1 θ 2 Respectively representing the set first index of storage balance and the weight factor corresponding to the second index of storage balance.
In this embodiment, the total number of asset identifications of the target warehouse is directly related to the operating load of the warehouse, and an increase in the total number can indicate a need in peak hours, requiring the warehouse to have sufficient labor and management capacity to handle the assets, while also related to inventory turnover, affecting inventory management and optimizing space utilization.
In the embodiment, by analyzing the storage time of various materials and the update frequency of the warehouse material state, the management personnel can be helped to determine excessive or shortage of materials, so that the stock level is optimized, the fund occupation and the storage space waste are reduced, the real-time performance of stock data can be ensured by analyzing the material state update, and accurate stock and identification data provide reliable input for an automation system and ensure the effective operation of the automation system.
Specifically, the operation stability characterization value of the target warehouse comprises the following specific analysis processes: counting the number of missing daily average material identification and the number of error daily average material identification of a target warehouse in a monitoring period, and calculating a material identification influence index of the target warehouse, wherein the calculation formula is as follows:
wherein X is 3 Identifying an impact index, W, for the supplies of the target warehouse Leakage device Indicating the number of missing daily material identification of a target warehouse, W Leakage device Indicating the number of daily material permission omission of the set target warehouse, W Error correction Indicating the number of average daily material identification errors of the target warehouse, deltaW Error correction A defined value indicating the set number of material identification errors,and->Respectively representing the set number of missing daily material identification and the reference definition proportion corresponding to the number of error daily material identification, gamma 2 And gamma 3 Respectively representing the set number of missing daily material identification and the compensation factors corresponding to the number of error daily material identification.
The daily average identification correct material number of the target warehouse in the statistical monitoring period is calculated, and the material identification accurate index of the target warehouse is calculated according to the calculation formula:
wherein X is 4 Accurate index, W, of material identification of target warehouse Positive direction The daily average of the target warehouse is represented to identify the correct material number, delta W Positive direction Reference value indicating that the set day average identifies the correct number of supplies, +.>Indicating the reference definition proportion, gamma corresponding to the number of the correctly identified materials on the set day 4 A compensation factor corresponding to the number of the materials which are identified correctly by the set day; calculation target warehouseThe operation stability characterization value of (2) is calculated as follows:
wherein S is 2 Operating stability characterization value, θ, of target warehouse 3 θ 4 Respectively representing the set material identification influence indexes and the weight factors corresponding to the material identification accurate indexes.
In this embodiment, missing identification may result in inaccurate inventory data, which may affect inventory management and replenishment decisions, and identification errors may result in materials being misclassified or deposited, which may affect not only inventory accuracy, but also incorrect order fulfillment, increasing the return rate and additional effort to handle these errors, thus requiring daily material identification missing and daily material identification error.
In this embodiment, the correct number of asset identifications directly reflects the efficiency of the warehouse management system. The high number of correct identifications means high accuracy of inventory data, which helps to increase order processing speed and reduce inventory related errors.
By continuously monitoring the daily index, a warehouse manager can be helped to maintain the smoothness of the warehouse and discover problems in time, and measures are quickly taken to correct, reduce operation interruption, reduce inventory carrying cost and enhance customer trust.
In the embodiment, the material inventory and inventory data are automatically updated by using a multithreading technology and a visual tool, the actual state information of the material is accumulated and self-updated in time, the self-building and accumulation historical data function of AI is formed through the self-learning capability of the visual tool, the multidimensional form of the material is continuously perfected, the material model is continuously optimized, and meanwhile, the system automatically distributes the material to the most suitable storage bin based on the material specification, model and quantity information by constructing an intelligent algorithm model.
In this embodiment, the correct amount of material identification directly affects the accuracy of the inventory system and the quality of order processing, and high identification accuracy reduces the risk of false order placement and reduces the additional cost due to returns or reprocessing.
In the embodiment, the material identification speed influences the logistics efficiency of the whole warehouse, the retention time of the materials in the warehouse can be reduced in the rapid identification process, and the whole inventory turnover is quickened
In this embodiment, the analysis day identifies the ability of the correct number of materials to affect the inventory holding cost and meet the customer's needs, and excessive inventory may result in capital occupation and storage space waste; the insufficient inventory can influence the order fulfillment speed and the customer satisfaction, and the analysis of the correct number of materials on each day can also help to determine excessive or shortage of materials, so that the inventory level is optimized, the occupation of funds and the waste of storage space are reduced, and the analysis of consumption modes and trends is facilitated by tracking the identification number of materials of each category, so that future demands can be predicted better, and timely replenishment decisions can be made.
In the embodiment, the identification quantity of each category of materials is directly related to the accuracy of inventory records, the accurate identification can reduce order errors, improve logistics efficiency and guide purchasing decisions through accurate demand prediction.
In this embodiment, still utilized digital twin, three-dimensional modeling and vision perception algorithm to promote the intelligent degree of specialty storehouse, carry out the intelligent environmental perception of warehouse through the camera, including the diversified and diversified perception of storehouse position, storage material, warehouse personnel, realize the unmanned perception management of specialty storehouse, at present, specialty storehouse still needs a large amount of personnel to manage, and management efficiency is low, and the cost is huge, therefore it is especially necessary to constantly promote the management efficiency of specialty storehouse through artificial intelligence algorithm, can practice thrift the human cost greatly, improve specialty storehouse management current situation, greatly improve specialty storehouse material storage and turnover efficiency.
The second aspect of the invention provides a warehouse-in and warehouse-out material identification and quantity analysis device, which comprises a processor, and a memory and a network interface which are connected with the processor; the network interface is connected with a nonvolatile memory in the server; and the processor retrieves the computer program from the nonvolatile memory through the network interface when in operation, and runs the computer program through the memory to execute the method for identifying and analyzing the materials in and out of the warehouse.
The third aspect of the invention provides a warehouse entry and exit material identification and quantity analysis device, which comprises a processor, and a memory and a network interface connected with the processor; the network interface is connected with a nonvolatile memory in the server; and the processor retrieves the computer program from the nonvolatile memory through the network interface when in operation, and runs the computer program through the memory to execute the method for identifying and analyzing the materials in and out of the warehouse.
In a fourth aspect, the present invention provides a storage medium for identifying and analyzing the amount of materials in a warehouse, and the computer program, when executed by a processor, implements the method for identifying and analyzing the amount of materials in a warehouse as described above.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (10)
1. The method for identifying and analyzing the amount of the materials in and out warehouse is characterized by comprising the following steps:
acquiring a material access identification request of a target warehouse, constructing a material identification model of the target warehouse, and evaluating a material identification characterization value of the target warehouse;
and identifying the characterization value according to the materials of the target warehouse, and carrying out statistics analysis on the material quantity information of the target warehouse to carry out intelligent management prompt of the target warehouse.
2. The method for identifying and analyzing the quantity of the materials in and out of the warehouse according to claim 1, which is characterized in that: the material warehouse-in and warehouse-out identification request of the acquisition target warehouse comprises the following specific processes:
and acquiring a material access identification request of the target warehouse, and identifying and extracting definition data of the material to which the access identification request belongs, wherein the definition data comprises a three-dimensional scanning image and weight.
3. The method for identifying and analyzing the amount of the materials in and out of the warehouse according to claim 2, wherein the method comprises the following steps: the material identification characterization value of the evaluation target warehouse comprises the following specific processes:
according to the standard three-dimensional images of various materials stored in the material management library, performing intelligent overlapping treatment on the standard three-dimensional images and the three-dimensional scanning images of the materials belonging to the warehouse-in and warehouse-out identification request, and extracting overlapped volumes;
constructing a material identification model of a target warehouse:
obtaining a material identification characterization value X of a target warehouse, wherein Vi intersection represents the volume of overlapping of a three-dimensional scanning image of a material to which a warehouse-in and warehouse-out identification request belongs and each type of material, G intersection represents the weight of the material to which the target warehouse-in and warehouse-out identification request belongs, gi label represents the reference weight of each type of material stored in a material management warehouse, vi label represents the reference weight of each type of material stored in the material management warehouseStandard volume, delta of each class of materials in the target warehouse 1 And delta 2 And the correction factors are respectively corresponding to the set material volume and weight, e represents a natural constant, i represents the number of each type of material, i=1, 2,3, & gt, and n, n is the type number of the material.
4. The method for identifying and analyzing the quantity of the materials in and out of the warehouse according to claim 1, which is characterized in that: the statistical analysis of the material quantity information of the target warehouse is carried out to carry out intelligent management prompt of the target warehouse, and the specific process comprises the following steps:
checking the identification and characterization value interval corresponding to each type of materials stored in the material management library according to the material identification and characterization value of the target warehouse, extracting the type of the materials to which the warehouse-in and warehouse-out identification request belongs, setting a monitoring period, and counting the material quantity information of the target warehouse in the monitoring period, wherein the material quantity information comprises the total number of material identifications, daily average material warehouse entry quantity, daily average material warehouse exit quantity, daily average material identification missing quantity, each type of materials and daily average material state updating frequency;
and analyzing the management demand definition value of the target warehouse, comparing the management demand definition value with the management demand definition threshold stored in the material management library, and if the management demand definition value of the target warehouse is higher than the management demand definition threshold, carrying out intelligent management prompt on the target warehouse.
5. The method for identifying and analyzing the quantity of the materials in and out of the warehouse according to claim 4, which is characterized in that: the management demand definition value of the target warehouse comprises the following specific calculation formula:
in the method, in the process of the invention,
wherein χ is the management demand definition value of the target warehouse, a 1 And a 2 Respectively setting a storage balance value of a target warehouse and a weight factor corresponding to the storage balance value of the target warehouse, A 1 Representing the warehouse equilibrium value of a target warehouse, A 2 Representing the operational stability index of the target warehouse, S 1 And S is 2 The storage balance characteristic value of the target warehouse and the operation stability characteristic value of the target warehouse are respectively,and->And e represents a natural constant, wherein the correction factors correspond to the set storage balance characterization value and the running stability characterization value respectively.
6. The method for identifying and analyzing the amount of the materials in and out of the warehouse according to claim 5, wherein the method comprises the following steps: the storage balance characterization value of the target warehouse comprises the following specific analysis processes:
counting the daily average material warehouse entry and daily average material warehouse exit of a target warehouse in a monitoring period, and calculating a first index of storage balance of the target warehouse, wherein the calculation formula is as follows:
wherein X is 1 Equalizing a first index for the warehouse of the target warehouse, wherein DeltaW represents the set containable warehouse reserves of the target warehouse, and W Total (S) Representing the total number of material identifications, gamma, of the target warehouse 1 Representing the set reference identification definition frequency, W Feeding in And W is Out of Respectively representing daily average material stock quantity and daily average material stock quantity of target warehouse, W' represents set daily average material access permission deviation quantity, T Circumference of circumference Number of days, ε, representing the monitoring period 1 And epsilon 2 Compensation factors respectively representing the set daily average material warehouse-in quantity and daily average material warehouse-out quantity;
counting the time point of each class of materials in the target warehouse entering the warehouse and the time point of each class of materials exiting the warehouse, performing difference processing to obtain the accumulated storage time of each class of materials in the target warehouse, and calculating a storage balance second index of the target warehouse, wherein the calculation formula is as follows:
wherein X is 2 Equalizing the second index, T, for warehousing of the target warehouse i knowledge Representing the accumulated storage time of various materials of a target warehouse, T imax Indicating the maximum storage time of the set materials of each class G More, the Representing the daily average state update frequency of materials in a target warehouse, G More, the Information of material state of target warehouse showing setting and referring to update frequency epsilon 3 Represents the equalization influencing factor epsilon corresponding to the set unit storage time 4 Representing the correction factor, delta, corresponding to the set accumulated storage time 3 Representing a correction factor corresponding to the set material state update frequency;
the storage balance characterization value of the target warehouse is calculated, and the calculation formula is as follows:
wherein S is 1 Index, θ for storage balance of target warehouse 1 θ 2 Respectively representing the set first index of storage balance and the weight factor corresponding to the second index of storage balance.
7. The method for identifying and analyzing the amount of the materials in and out of the warehouse according to claim 5, wherein the method comprises the following steps: the operation stability characterization value of the target warehouse comprises the following specific analysis processes:
counting the number of missing daily average material identification and the number of error daily average material identification of a target warehouse in a monitoring period, and calculating a material identification influence index of the target warehouse, wherein the calculation formula is as follows:
wherein X is 3 Identifying an impact index, W, for the supplies of the target warehouse Leakage device Indicating the number of missing daily material identification of a target warehouse, W Leakage device Indicating the number of daily material permission omission of the set target warehouse, W Error correction Indicating the number of average daily material identification errors of the target warehouse, deltaW Error correction A defined value indicating the set number of material identification errors,and->Respectively representing the set number of missing daily material identification and the reference definition proportion corresponding to the number of error daily material identification, gamma 2 And gamma 3 Respectively representing the set number of missing daily material identification and the compensation factors corresponding to the number of error daily material identification;
the daily average identification correct material number of the target warehouse in the statistical monitoring period is calculated, and the material identification accurate index of the target warehouse is calculated according to the calculation formula:
wherein X is 4 Accurate index, W, of material identification of target warehouse Positive direction The daily average of the target warehouse is represented to identify the correct material number, delta W Positive direction A reference value indicating the number of correct supplies identified by the set day,indicating the reference definition proportion, gamma corresponding to the number of the correctly identified materials on the set day 4 Indicating that the set average day identifies the correct objectCompensation factors corresponding to the fund;
calculating an operation stability characterization value of a target warehouse, wherein the calculation formula is as follows:
wherein S is 2 Operating stability characterization value, θ, of target warehouse 3 θ 4 Respectively representing the set material identification influence indexes and the weight factors corresponding to the material identification accurate indexes.
8. Warehouse entry material discernment and quantity analysis device, its characterized in that includes: a processor, a memory and a network interface connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieving a computer program from the non-volatile memory via the network interface and running the computer program via the memory to perform the method of any of the preceding claims 1-7.
9. The warehouse-in and warehouse-out material identification and quantity analysis equipment is characterized by comprising a processor, and a memory and a network interface which are connected with the processor; the network interface is connected with a nonvolatile memory in the server; the processor, when running, retrieving a computer program from the non-volatile memory via the network interface and running the computer program via the memory to perform the method of any of the preceding claims 1-7.
10. Warehouse entry and exit asset identification and quantity analysis storage medium, characterized in that the computer program, when executed by a processor, implements the method according to any of claims 1-7.
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