CN117875852A - Intelligent management and control warehouse management system for physical asset specialized warehouse - Google Patents

Intelligent management and control warehouse management system for physical asset specialized warehouse Download PDF

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CN117875852A
CN117875852A CN202410269951.2A CN202410269951A CN117875852A CN 117875852 A CN117875852 A CN 117875852A CN 202410269951 A CN202410269951 A CN 202410269951A CN 117875852 A CN117875852 A CN 117875852A
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warehouse
products
instruments
replenishment
data
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CN117875852B (en
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张焕臣
赵树文
周鹤
谢文礼
徐栋
孙博
王彬
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Shandong Born Electric Co ltd
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Shandong Born Electric Co ltd
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Abstract

The application discloses intelligent management and control warehouse management system of physical asset specialty storehouse belongs to warehouse management technical field, including data acquisition module, overall arrangement analysis module, data analysis module and management control module: and a data acquisition module: the system is used for collecting data of warehouse products and instruments in real time and preprocessing the collected data; layout analysis module: warehouse products and instruments were judged by preset criteria. The intelligent management and control warehouse management system of the real object asset professional warehouse predicts the delivery volume of the warehouse by analyzing the supply relation of the warehouse, analyzes the prices of market products and instruments, and formulates the replenishment scheme of the warehouse according to the market price, the relevance between the products and the instruments and the interference of other factors, so that the cost of the warehouse can be greatly reduced, the replenishment scheme is further analyzed, the rationality of the replenishment scheme is judged, the warehouse management replenishment and management is more flexible, and the overall applicability of the warehouse management system is enhanced.

Description

Intelligent management and control warehouse management system for physical asset specialized warehouse
Technical Field
The invention belongs to the field of storage, and particularly relates to an intelligent management and control warehouse management system for a physical asset specialized warehouse.
Background
Warehouse management is also called warehouse management, and is an effective control of activities such as receiving, dispatching, balance and the like of warehouse goods, and aims to ensure the integrity of the warehouse goods for enterprises, ensure the normal running of production and management activities, and on the basis, carry out classification record on the activity conditions of various goods, express the conditions of the warehouse goods in terms of quantity and quality in a clear chart mode, and comprehensively manage the conditions such as the geographical position, departments, order attribution, warehouse dispersion degree and the like of the warehouse goods.
The internet of things refers to connecting any object with a network through information sensing equipment, and the object exchanges information and communicates through an information transmission medium so as to realize the functions of intelligent identification, positioning, tracking, supervision and the like.
The intelligent warehouse based on the Internet of things is an application technology of the Internet of things, an intelligent warehouse management system is built through RFID radio frequency identification, a computer technology, a communication technology, an Internet application technology and an advanced management method, and the functions of automatic information grabbing, automatic identification, automatic early warning and intelligent management are realized for the efficient management and control of the whole flow of the warehouse from warehouse in, warehouse in and warehouse out to reduce the warehouse cost, improve the warehouse efficiency and improve the warehouse intelligent management capability.
The prior patent grant publication number CN105825466B, entitled intelligent warehouse management system, describes a system comprising: the system comprises a warehouse access control device, a vehicle-mounted identification device, a code disc device, an RFID tag roadway, a tray device, a warehouse shuttle, a video monitoring device, a communication network and a warehouse management and control device; the warehouse management and control device is connected with a warehouse access control device, a vehicle-mounted identification device, a code disc device, an RFID tag roadway, a tray device, a warehouse shuttle and a video monitoring device through a communication network, and integrates all flows of warehouse management by applying the technology of the Internet of things, the network technology and the advanced management concept, and through deep excavation of node functions, business flow optimization and closed-loop control are realized, so that double promotion of technology and management is achieved.
The prior patent grant publication number is CN113837678B, and the patent name is a method for generating the replenishment task information, which comprises the following steps: determining at least one replenishment type matched with the item information from a plurality of preset replenishment types based on the item information of the target item, wherein the plurality of replenishment types comprise: restocking according to the daily order demand, restocking according to the pre-sales order demand and restocking according to the predicted demand; determining a demand for the target good based on the at least one replenishment type; if the stock quantity of the picking positions of the warehouse does not meet the demand quantity of the target goods, generating a corresponding candidate replenishment task according to each replenishment type in at least one replenishment type to obtain at least one candidate replenishment task; and selecting one of at least one candidate restocking task as a restocking task to be executed based on a preset restocking rule, and determining task information.
The scheme has certain defects when in use, the CN105825466B is a basic management warehouse management system of the existing warehouse, the system only has the function of monitoring warehouse products, the CN113837678B increases the replenishment management rule of the warehouse products on the basis of monitoring the warehouse products, but the rule is very simple, the scheme adopted is mainly to replenish the products according to the demand quantity generated by sales, the scheme is applied to a warehouse which is very small, very high in mobility and very high in article independence, such as a supermarket, but for a factory or a large warehouse, the stored products are large in quantity, various factor interference such as price and weather exist, the condition of high cost caused by normal replenishment when the replenishment is insufficient or the price is relatively high is easy to exist by adopting the demand quantity replenishment method, and the requirement of warehouse management is not met.
Disclosure of Invention
In order to overcome prior art's is not enough, this application provides intelligent management and control warehouse management system of real object asset specialty storehouse, earlier stage according to the project in warehouse management divides product and instrument in to establish the position between product and the instrument according to the association degree between product and the instrument, on the one hand make the warehouse when daily use, warehouse management personnel can seek required product and instrument fast, shorten warehouse accessory time, avoid appearing the condition that warehouse is crowded, thereby improve warehouse management's efficiency, on the other hand consider the connection between product and the instrument in the warehouse from whole, to the prediction of product more accurate, can guarantee the accuracy and the rationality that the replenishment scheme produced.
In order to achieve the above purpose, the technical scheme adopted in the application is as follows:
the intelligent management and control warehouse management system for the real object asset specialized warehouse comprises a data acquisition module, a layout analysis module, a data analysis module and a management control module:
and a data acquisition module: the system is used for collecting data of warehouse products and instruments in real time and preprocessing the collected data;
layout analysis module: judging warehouse products and instruments through preset standards, determining products which are stored in the warehouse in a key mode, judging the relevance between other products and the instruments and the key products, and generating a layout scheme of the products and the instruments;
and a data analysis module: the method comprises the steps of formulating a storage quantity interval of products and instruments according to a layout scheme generated by a layout analysis module, constructing a prediction model, and predicting consumption of the warehouse products and instruments in a warehouse replenishment period according to an analysis result of the layout analysis module;
the management control module comprises an inventory unit, a scheme generating unit and a comparison unit;
the method comprises the steps of checking actual data of warehouse products and instruments through a checking unit, inputting the checked data and consumption of the warehouse products and the instruments into a scheme generating unit, generating a replenishment value Repl of the products and the instruments, the total amount of the products and the instruments after replenishment and the residual amount of the products and the instruments at a next replenishment time point through a management threshold value set in a supervision alarm unit, comparing the total amount of the products and the instruments after replenishment with the residual amount of the products and the instruments at the next replenishment time point, and adjusting a replenishment scheme according to a comparison result.
Preferably, the data of the collected warehouse products and instruments comprise warehouse entry data, warehouse exit data, warehouse in data and warehouse transfer data.
Preferably, the process of analyzing by the layout analysis module is as follows:
s1, classifying articles: classifying the articles in the warehouse according to the N types of items;
s2, importance judgment: judging the importance of the products in the same item and judging the core products;
s3, correlation judgment: judging the association degree between other products and instruments and core products in the same item, wherein the specific calculation formula of the association degree is as follows: ratio of other products and instruments = number of simultaneous consumption of other products and instruments with core product/number of core product consumption in the last year with project;
s4, dividing the area: dividing a warehouse site into N storage areas according to materials required by the project;
s5, position matching: the N groups of core products are placed in the N storage areas, other products and instruments are placed according to the relevance, and the higher the relevance is, the closer the distance between the other products and instruments and the core products is.
Preferably, the process of constructing the prediction model is as follows:
i, data acquisition: extracting actual operation data of a warehouse, and acquiring warehouse data of a warehouse replenishment time point;
II, data analysis: the collected data are tidied, and the data of the warehouse which are not restocked at the restocking time point and the data after restocking are extracted;
III, calculating consumption: the consumption of products and instruments in different replenishment periods is calculated, and a specific calculation formula is as follows: consumption of products and instruments = number of products and instruments in warehouse after restocking-number of products and instruments in warehouse when restocking is not performed at the next restocking time point-number of naturally scrapped products and instruments;
IV, predicting consumption: the consumption of products and instruments in the future replenishment cycle is predicted, and a specific calculation formula is as follows:
wherein PCS is the predicted consumption of the product and the instrument, P is the consumption of the product and the instrument in the same replenishment period of the last year, i is the number of items in the same replenishment period of the last year, delta i The correction coefficient preset for the P item is the proportion of the same item to be expanded or reduced in the previous year.
Preferably, the actual data of the inventory unit for inventory of warehouse products and instruments includes the number of warehouse products and instruments, the number of emergency products and instruments, the number of borrowed products and instruments, the number of scrap products and instruments, and the number of deployment products and instruments.
Preferably, the formula according to which the plan generating unit generates the replenishment value Repl of the product and the instrument is as follows:
wherein K is a market price correction value, and J is other factor correction values;
the step of acquiring the correction value K is as follows:
collecting the price H of market products and instruments at the current time point and the average price Hn of the last n years market products and instruments;
the formula from which K is generated is as follows:
wherein H is 1 For the average price of the products and instruments in the last-year market, lambda is a constant correction coefficient, and the higher the correlation is, the higher the constant correction coefficient is;
the step of obtaining J is as follows:
collecting influence factor data of products and instruments at the current time point, and grading the influence factor data;
the formula from which J is generated is as follows:
wherein m is the number of other factors, 0 m Scoring data for m influencing factors, 0 m label Standard data for m influencing factors ε m And the influence coefficient of the m influence factors on the product and instrument replenishment quantity.
Preferably, the formula according to which the total amount of the product and the instrument after replenishment is calculated is as follows:
wherein G is the total amount of the product and the instrument after replenishment, repl Clearing heat Counting the number of the counting units;
in Repl Library For the quantity of warehouse products and instruments, repl Waste of For the quantity of the scraped products and instruments in the warehouse, repl By means of Borrowing the quantity of products and instruments for the warehouse.
Preferably, the formula according to which the remaining amount of the product and the instrument at the next replenishment time point is calculated is as follows:
wherein G is The remainder is For the residual quantity of the product and the instrument at the next replenishment time point, G is the total quantity of the product and the instrument after replenishment, PCS Lower part(s) The predicted consumption of product and instrumentation for the next restocking cycle.
Preferably, the warehouse management threshold set in the supervision and alarm unit comprises a safety threshold G of warehouse storage products and instruments in each replenishment time point Lower part(s) And the warehouse stores the on-line threshold G of different products and instruments at different replenishment time points Upper part
After the bin threshold value set in the supervision alarm unit is compared with the total amount of products and instrument after replenishment and the residual amount of the products and the instrument at the next replenishment time point:
if G is Lower part(s) <G The remainder is And G<G Upper part The proposal generating unit is represented to generate the replenishment value Repl of the product and the instrument to meet the requirement, and the product and the instrument are replenished according to the replenishment value generated by the proposal generating unit;
if G is The remainder is <G Lower part(s) And G<G Upper part The scheme generating unit is used for generating a new scheme when the replenishment value Repl of the product and the instrument is insufficient New type =Repl+G Lower part(s) -G The remainder is
If G is Upper part <G, representing the scheme generating unit to generate the excessive replenishment value Repl of the product and the instrument, and generating a new scheme in which the replenishment value Repl is generated New type =G Upper part -Repl Clearing heat
In summary, the beneficial technical effects of the invention are as follows:
firstly, the invention records an intelligent management and control warehouse management system of a physical asset specialized warehouse, products and instruments in the warehouse are divided according to items in the early stage of warehouse management, and positions between the products and the instruments are established according to the association degree between the products and the instruments, so that on one hand, warehouse management personnel can quickly search for needed products and instruments in daily use of the warehouse, the time of warehouse accessories is shortened, the situation of warehouse congestion is avoided, the efficiency of warehouse management is improved, on the other hand, the association between the products and the instruments in the warehouse is considered integrally, the prediction of the products is more accurate, and the precision and rationality of the generation of a replenishment scheme can be ensured.
Secondly, the intelligent management and control warehouse management system of the real asset specialized warehouse is recorded, and the warehouse management system predicts the delivery of the warehouse by analyzing the supply relation of the warehouse, analyzes the prices of market products and instruments, and formulates the replenishment scheme of the warehouse according to the market price, the relevance between the products and the instruments and the interference of other factors, so that the cost of the warehouse can be greatly reduced, and the replenishment scheme is further analyzed to judge the rationality of the replenishment scheme, so that the warehouse management replenishment and management are more flexible, and the overall applicability of the warehouse management system is enhanced.
Drawings
FIG. 1 is a modular block diagram of a physical asset specialty warehouse intelligent management and control warehouse management system of the present invention;
fig. 2 is a data structure diagram of a warehouse management and control system in the intelligent management and control warehouse management system of the physical asset specialized warehouse of the invention.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the accompanying drawings.
Example 1:
as shown in fig. 1, the invention provides a real asset professional warehouse intelligent management and control warehouse management system, which is based on a warehouse management and control system, and the description of the warehouse management and control system is detailed in embodiment 2, and the real asset professional warehouse intelligent management and control warehouse management system comprises a data acquisition module, a layout analysis module, a data analysis module and a management control module:
and a data acquisition module: the system is used for collecting data of warehouse products and instruments in real time and preprocessing the collected data; the data acquisition module acquires data of the past year and the year to be predicted, the data mainly comprise relevant data of products and instruments, the data mainly comprise warehouse entry data and warehouse exit data, and the data can be directly derived from a warehouse management and control system.
Layout analysis module: judging warehouse products and instruments through preset standards, determining products which are stored in the warehouse in a key mode, judging the relevance between other products and the instruments and the key products, and generating a layout scheme of the products and the instruments;
criteria for evaluating warehouse products and instruments are established by an expert.
The layout analysis module is responsible for reasonably distributing the internal space of the warehouse, and mainly aims at the situation that in the existing warehouse, like products are usually placed (convenient to locate and search) and different products are needed for the same project, so that the products often need to span a larger area during carrying, and the warehouse is easy to be jammed at more time points of the project.
And a data analysis module: the method comprises the steps of formulating a storage quantity interval of products and instruments according to a layout scheme generated by a layout analysis module, constructing a prediction model, and predicting consumption of the warehouse products and instruments in a warehouse replenishment period according to an analysis result of the layout analysis module;
the regularity (increasing or decreasing ratio) of the data is analyzed.
The management control module comprises an inventory unit, a scheme generating unit and a comparison unit;
the method comprises the steps of checking actual data of warehouse products and instruments through a checking unit, inputting the checked data and consumption of the warehouse products and the instruments into a scheme generating unit, generating a replenishment value Repl of the products and the instruments, the total amount of the products and the instruments after replenishment and the residual amount of the products and the instruments at a next replenishment time point through a management threshold value set in a supervision alarm unit, comparing the total amount of the products and the instruments after replenishment with the residual amount of the products and the instruments at the next replenishment time point, and adjusting a replenishment scheme according to a comparison result.
The replenishment value Repl is calculated separately for each product and instrument.
The bin threshold is set according to the number of the projects and the scale of the projects, and is directly adjusted according to the scale of the projects in the follow-up process.
Because market demands are different and production is disturbed by environment, shipment and replenishment in each period are different, threshold values of warehouse management threshold values in different periods are different, and under the condition that items are unchanged, the warehouse management threshold values adopt threshold values in the same period of last year.
And the method can also predict the formulation of the consumption of warehouse products and instruments in the warehouse replenishment period according to the data analysis module, and directly set the upper limit threshold of the warehouse tube to be 1.2-1.5 times of the consumption in the replenishment period, wherein the consumption in the 0.2 times of the replenishment period is greater than the safe use threshold set by the warehouse.
The upper limit threshold of the bin is the upper limit of the optimal storage interval for storing the product in the warehouse in the time period, is not the maximum storage number of the warehouse for the product, for example, the consumed product is halved when the holiday is encountered, and is far lower than the upper limit threshold of the bin in other replenishment time periods.
For example, 1 ten thousand goods are consumed in a certain goods period of the warehouse, the set safe use threshold (avoiding the special condition to cause late arrival of the restocking) is 1 thousand, then the upper limit threshold of the warehouse tube is set to be 1.2 ten thousand-1.5 ten thousand goods, namely a reasonable range, and the maximum upper limit threshold of the warehouse tube must not exceed 2 ten thousand goods, namely twice the consumption in the restocking period from the aspects of saving cost and occupied space.
The data of warehouse products and instruments are collected and comprise warehouse-in data, warehouse-out data, warehouse-in data and warehouse-out data.
Warehouse entry data into the warehouse and shipment and return (including during transportation) data, the shipment data being determined for the order, the data proposed from the warehouse, the occupancy data being predetermined, but the data not being shipped, the transfer data being data for borrowing products from other warehouses,
The process of analyzing and processing by the layout analysis module is as follows:
s1, classifying articles: classifying the articles in the warehouse according to the N types of items;
s2, importance judgment: judging the importance of the products in the same item and judging the core products;
when judging importance, an ABC classification method is adopted, namely a mathematical statistics method is adopted to carry out statistics, arrangement and analysis, and important points and general points are distinguished, so that analysis methods of different management modes are adopted for different categories.
And 2-3 core products are selected from the products in the same project, and the 2-3 core products form a group of core products.
S3, correlation judgment: judging the association degree between other products and instruments and core products in the same item, wherein the specific calculation formula of the association degree is as follows: ratio of other products and instruments = number of simultaneous consumption of other products and instruments with core product/number of core product consumption in the last year with project;
For example, in the last year, the number of simultaneous consumption times of the core product a and the core product B is 40 (the use of the core product B with other products or the use of the core product B alone is not considered), and the number of simultaneous consumption times of the core product a is 50, the association degree is 40/50=0.8, and when the core products in the same item exist and are used simultaneously, the association degree is the highest set of association degree values plus the average value of the association degree values.
The association degree calculation is considered from the whole, and the matching relation between the products and the instruments is considered.
S4, dividing the area: dividing a warehouse site into N storage areas according to materials required by the project;
s5, position matching: the N groups of core products are placed in the N storage areas, other products and instruments are placed according to the relevance, and the higher the relevance is, the closer the distance between the other products and instruments and the core products is.
The N groups of core products are the most consumed and important products, and the products with high relevance to the products and the instruments have high consumption and high utilization rate, and can be conveniently configured by personnel of the project by being placed around the core products, so that the device is practical and convenient.
The process of constructing the prediction model is as follows:
i, data acquisition: extracting actual operation data of a warehouse, and acquiring warehouse data of a warehouse replenishment time point;
larger warehouses and large-scale manufacturing enterprises, and the replenishment time is fixed (except for new projects).
II, data analysis: the collected data are tidied, and the data of the warehouse which are not restocked at the restocking time point and the data after restocking are extracted;
III, calculating consumption: the consumption of products and instruments in different replenishment periods is calculated, and a specific calculation formula is as follows: consumption of products and instruments = number of products and instruments in warehouse after restocking-number of products and instruments in warehouse when restocking is not performed at the next restocking time point-number of naturally scrapped products and instruments;
IV, predicting consumption: the consumption of products and instruments in the future replenishment cycle is predicted, and a specific calculation formula is as follows:
wherein PCS is the predicted consumption of the product and the instrument, P is the consumption of the product and the instrument in the same replenishment period of the last year, i is the number of items in the same replenishment period of the last year, delta i The correction coefficient preset for the P item is the proportion of the same item to be expanded or reduced in the previous year.
The proportion of the large-scale production enterprises for goods changes along with the project, most of periodic influence factors can be considered in calculating the annual change value, and the predicted value is accurate due to the fact that the periodic influence factors are matched with the correction of the correction coefficient preset by the project.
δ i Normally set to 0.03-0.10, after correction of the correction coefficient, the predicted consumption is higher than the actual consumption, and sufficient goods can be ensured.
The actual data of the inventory unit for inventory of warehouse products and instruments includes the number of warehouse products and instruments, the number of emergency products and instruments, the number of borrowed products and instruments, the number of scrapped products and instruments, and the number of mobilized products and instruments.
The inventory unit is used for inventory of the warehouse and eliminating other data, so that the quantity of products and instruments which can be randomly discharged is obtained, and the subsequent comparison data can be effectively avoided from the situation that the products are borrowed and allocated too much to cause the subsequent use shortage of the warehouse products.
The formula according to which the plan generating unit generates the replenishment value Repl of the product and the instrument is as follows:
in the formula, K is a market price correction value, under the condition of limiting the upper storage limit of warehouse products, the most important factors of replenishment and the stirring of the cost of the products are influenced, so that the correction is carried out by adopting the market price correction value, J is other factor correction values, such as a weather interference factor on storage, a weather caused storage cost improvement factor and the like, each factor interference is small, but a plurality of factors are combined to generate certain interference on the cost, and correction is needed.
The step of acquiring the correction value K is as follows:
collecting the price H of market products and instruments at the current time point and the average price Hn of the last n years market products and instruments;
the formula from which K is generated is as follows:
wherein H is 1 For the average price of the products and instruments in the last-year market, lambda is a constant correction coefficient, and the higher the correlation is, the higher the constant correction coefficient is;
the market price of each product in each project is stirred differently, so that lambda of each product is different, lambda is compared with expert according to the type of the product, the comparison is carried out by adopting years of price data, the incremental property of the product price is judged, the influence of the existing price is considered on the basis of the incremental property, and the whole is more reasonable.
The step of obtaining J is as follows:
collecting influence factor data of products and instruments at the current time point, and grading the influence factor data;
the formula from which J is generated is as follows:
wherein m is the number of other factors, 0 m Scoring data for m influencing factors, 0 m label Standard data for m influencing factors ε m And the influence coefficient of the m influence factors on the product and instrument replenishment quantity.
For example, weather has an interference factor epsilon of 0.015, and the factor is 0 m label 80 minutes, in the replenishment period, noSuitable for storage, score 0 m 60 minutes, at this time (60-80)/80 x 0.015= -0.00375, i.e. this factor results in a down-regulation of restocking, a superposition of factors, usually with a post-calculation J of between-0.015 and 0.015.
The formula according to which the total amount of the product and the instrument after replenishment is calculated is as follows:
wherein G is the total amount of the product and the instrument after replenishment, repl Clearing heat Counting the number of the counting units;
for example, the calculated required replenishment value replenisher for product A is 1.2 thousands, and the number replenisher is stored in the warehouse after counting Clearing heat 0.3 ten thousand, the total amount of A products after replenishment is 1.5 ten thousand.
In Repl Library For the quantity of warehouse products and instruments, repl Waste of For the quantity of the scraped products and instruments in the warehouse, repl By means of Borrowing the quantity of products and instruments for the warehouse.
For example, the number of stored Repl in the A-product warehouse Library Quantity of warehouse rejected products and instruments Repl of 0.3 ten thousand pieces Waste of Quantity of warehouse borrowed products and instruments Repl of 0.05 ten thousand pieces By means of 0.05 ten thousand pieces, then Repl Clearing heat The number of (2) is 0.3-0.05+0.05=0.3 ten thousand pieces.
When there is data of shipment returns (including during transportation), the number of shipment returns (including during transportation) counts into the reply Library Transferring data of products and instruments not yet shipped from a Repl Library The number is subtracted.
The formula according to which the remaining amount of the product and the instrument at the next replenishment time point is calculated is as follows:
in the middle of,G The remainder is For the residual quantity of the product and the instrument at the next replenishment time point, G is the total quantity of the product and the instrument after replenishment, PCS Lower part(s) The predicted consumption of product and instrumentation for the next restocking cycle.
Because the consumable products are not the same for each restocking period, the calculation is predictive of whether the post-restocking quantity is sufficient for the next restocking period.
The warehouse management threshold set in the supervision and alarm unit comprises a safety threshold G of warehouse storage products and instruments in each replenishment time point Lower part(s) And the warehouse stores the on-line threshold G of different products and instruments at different replenishment time points Upper part
After the bin threshold value set in the supervision alarm unit is compared with the total amount of products and instrument after replenishment and the residual amount of the products and the instrument at the next replenishment time point:
if G is Lower part(s) <G The remainder is And G<G Upper part The proposal generating unit is represented to generate the replenishment value Repl of the product and the instrument to meet the requirement, and the product and the instrument are replenished according to the replenishment value generated by the proposal generating unit;
for example, the safe use threshold G of A product Lower part(s) For 0.1 ten thousand, the replenishment time point stores the online threshold G of different products and instruments Upper part 1.5 thousands of checked quantity Repl stored in warehouse Clearing heat For 0.3 ten thousand, the product and instrument replenishment value Repl generated by the scheme generating unit is 0.7 ten thousand, and the predicted consumption PCS of the product and instrument in the next replenishment period Lower part(s) 0.8 ten thousand pieces, the total amount G of the produced product and the instrument after replenishment is 0.3+0.7=1.0 ten thousand pieces<Upper line threshold G Upper part 1.5 ten thousand pieces, the residual quantity of the product and the instrument at the next replenishment time point is 1.0-0.8=0.2 ten thousand pieces > the safe use threshold G Lower part(s) 0.1 ten thousand, namely a scheme generating unit, so that 0.7 ten thousand of the product and instrument restocking values meet the requirements, and restocking is carried out according to the scheme.
If G is The remainder is <G Lower part(s) And G<G Upper part The scheme generating unit is used for generating a new scheme when the replenishment value Repl of the product and the instrument is insufficient New type =Repl+G Lower part(s) -G The remainder is
For example, the safe use threshold G of A product Lower part(s) For 0.1 ten thousand, the replenishment time point stores the online threshold G of different products and instruments Upper part 1.5 thousands of checked quantity Repl stored in warehouse Clearing heat For 0.3 ten thousand, the product and instrument replenishment value Repl generated by the scheme generating unit is 0.7 ten thousand, and the predicted consumption PCS of the product and instrument in the next replenishment period Lower part(s) 0.95 ten thousand pieces, the total amount G of the produced product and the instrument after replenishment is 0.3+0.7=1.0 ten thousand pieces<Upper line threshold G Upper part 1.5 ten thousand pieces, the residual quantity of the product and the instrument at the next replenishment time point is 1.0-0.95=0.05 ten thousand pieces<Safe use threshold G Lower part(s) 0.1 ten thousand, namely a scheme generating unit for generating products which are not in accordance with the requirements of 0.7 ten thousand of replenishment values of instruments and generating a new scheme Repl New type 0.7+0.1 to 0.05=0.75 ten thousand.
The situation mainly comprises that the price of the market product is too high, other factors have little influence on storage, and the market product is suitable for large-batch purchase, for example, the price fluctuation of the product A is 10% up and down, when the price is adjusted by more than 7% in the setting, the price is normally purchased, and G is calculated at the moment The remainder is <G Lower part(s) This approach is therefore adopted.
If G is Upper part <G, representing the scheme generating unit to generate the excessive replenishment value Repl of the product and the instrument, and generating a new scheme in which the replenishment value Repl is generated New type =G Upper part -Repl Clearing heat
For example, the safe use threshold G of A product Lower part(s) For 0.1 ten thousand, the replenishment time point stores the online threshold G of different products and instruments Upper part 1.5 thousands of checked quantity Repl stored in warehouse Clearing heat For 0.3 ten thousand, the replenishment value Repl of the product and the instrument generated by the scheme generating unit is 1.3 ten thousand, and the predicted consumption PCS of the product and the instrument in the next replenishment period Lower part(s) 0.95 ten thousand pieces, the total amount G of the produced product and the instrument after replenishment is 0.3+1.3=1.6 ten thousand pieces > the on-line threshold G Upper part 1.5 ten thousand, i.e. the plan generating unit generates products which do not match the replenishment value repl1.3 ten thousand of the instrumentGenerating new scheme Repl based on requirements New type 1.5-0.3=1.2 tens of thousands.
The market product price is low, other factors have little influence on storage, and the market product price is suitable for large-batch purchase, for example, the price fluctuation of the product A is 10% up and down, and when the price is adjusted by more than 7% in the setting, the calculated G is larger than G Upper part The proposal is adopted.
Example 2
The warehouse management and control system codes instruments and meters, spare parts and dangerous chemicals, wherein the coding content defines attribute fields of equipment and comprises the attributes of names, quantity, belonging classifications, specification models, storage positions and the like of the equipment.
The method comprises the steps of carrying out coding on instruments and meters, wherein coding content comprises defining attribute fields of the instruments and meters, including the attributes of instrument names, equipment numbers, specification models, units, quantity, manufacturers, delivery dates, storage warehouses, service lives and the like, adapting to digital-analog definitions of main data of materials, adding an adaptation module, and carrying out seamless conversion and connection during data synchronization; meanwhile, coding information can be matched according to the bin.
Coding the spare parts, wherein the coding content comprises the following steps: the spare parts are allowed to be associated with each other by codes and cancelled by the attributes such as spare parts names, equipment numbers, professional classifications, equipment types, numbers, units, total quantity of on-the-way equipment and the like; and the data is matched with the digital-analog definition of the main data of the materials, an adaptation module is added, and seamless conversion and connection can be realized during data synchronization.
Coding the dangerous chemicals, wherein the coding content comprises the names, the number, the belonging classification, the specification and model numbers of the dangerous chemicals, the storage warehouse and other attributes; the coding result of the dangerous chemicals can be canceled and correlated, the dangerous chemicals are synchronized to the warehouse management and control system according to the coding result of the dangerous chemicals, the dangerous chemicals are adapted to the digital-analog definition of the main data of the materials, and an adaptation module is added, so that seamless conversion and connection can be realized during data synchronization.
The product comprises a common workpiece, spare parts and dangerous chemicals, wherein the dangerous chemicals are independently managed.
The data acquisition module acquires data including warehouse management data and ex-warehouse management data in the warehouse management and control system.
Warehouse entry management
The storage control system can sense and acquire the physical ID of the equipment through a radio frequency channel door, a radio frequency antenna or a manual code scanning mode, judge equipment storage information according to RFID signals, automatically record the equipment storage information and synchronize the equipment storage information into the storage control system.
When in warehouse entry, a warehouse entry bill is created, the application bill content comprises warehouse entry time, warehouse entry equipment, warehouse entry equipment quantity, warehouse entry equipment types and the like, warehouse entry approval records are recorded for later examination, and information such as approval time, approval content and the like can be seen in the approval records, and message reminding is carried out.
When a new product or a new instrument is put in storage, through the internet of things management platform, each real object FRID is associated with one device through batch identification of the real object FRID, batch storage of the new device is carried out, a user can conveniently and quickly put in storage, after the storage management and control system receives batch storage data, data verification is carried out, recording reasons and logs which do not pass the verification are verified, the verification of passed update data sources is synchronous, and batch storage of materials is carried out, so that data screening and cleaning treatment are carried out.
In the warehouse entry process, a user enters a professional warehouse through a face brushing mode of an access control warehouse management and control system, the warehouse management and control system judges equipment warehouse entry according to the physical ID acquired by the RFID sensing equipment, equipment warehouse entry registration is carried out, automatic radio frequency information is synchronized into the warehouse management and control system, basic data are provided for automatic warehouse entry, the warehouse management and control system carries out data verification, recording reasons and logs which do not pass the verification are updated after the verification is passed, and the equipment warehouse entry is convenient and quick.
Aiming at the event of the occurrence of power failure and the like of special equipment entering a warehouse, the method can be used for carrying out the warehouse entry complement of the equipment.
The warehouse management and control system inquires the warehouse-in mode, warehouse-in equipment, warehouse-in quantity, warehouse-in person, warehouse-in time and the like of materials such as instruments and meters, spare parts, dangerous chemicals and the like of each warehouse, supports fuzzy inquiry, displays inquiry results in a paging mode, and can check warehouse-in details.
Exit management
The warehouse management and control system can sense the physical ID acquired by the equipment through a radio frequency channel door, a radio frequency antenna or a manual code scanning mode, judge equipment warehouse-out information according to RFID and intelligent access control information, automatically record the equipment warehouse-out information and synchronize the equipment warehouse-out information into the warehouse management and control system.
Creating a delivery application form when delivering the delivery, wherein the content of the application form comprises delivery time, delivery warehouse, delivery equipment, the quantity and the type of the delivery equipment and the like, and sending the delivery form to the province, various local markets and related personnel of the warehouse; the personal ex-warehouse application forms an ex-warehouse application record, an ex-warehouse application result can be checked in the application record, an ex-warehouse approval record can be formed in the background, and the personal approval result can be checked in the approval record for later check; and make a message alert.
In the process of delivery, the supporting equipment automatically acquires equipment information when delivering through the RFID sensing equipment, the warehouse management and control system automatically judges the equipment delivery according to RFID signals, and the warehouse management and control system performs data verification and processing operation in cooperation with the delivery person information of the face recognition access control to realize automatic delivery.
The manual input mode is used for carrying out the delivery, and the delivery and the supplementary recording of the equipment can be carried out by the mode mainly aiming at the delivery of special equipment, such as the occurrence of events of power failure and the like in a bin.
Each time of ex-warehouse application supports inquiry in a warehouse management and control system, and information such as an initiator, an initiating time, an approver, an approving time, an approving result, ex-warehouse equipment and quantity of the ex-warehouse application at the time can be seen in an inquiry result, and the information comprises the inquiry of the ex-warehouse information of instruments, spare parts and dangerous chemicals, and the information is displayed on an equally divided page.
Setting relevant system flow specifications of corresponding dangerous chemical empty bottle delivery label recycling management according to different dangerous chemical empty bottle characteristics of different classifications, subsequently recycling and managing dangerous chemical empty bottle labels according to the set flow specifications, and carrying out data query on dangerous chemical empty bottle label recycling data according to dimensions such as a city, a warehouse, a dangerous chemical reagent name, a recycling unit, a recycling person, recycling time and the like, so as to support fuzzy query and result paging display.
And when the checking unit operates, checking quota management data, in-warehouse management data, occupation management data, inventory management data, scrapping management data, allocation management and transfer management data in the warehouse management and control system.
Quota management
The warehouse management and control system sets standard quota configuration for the inventory amount of different kinds of equipment in each bin, and when the inventory amount reaches the upper limit or the lower limit, the system sends out an early warning or warning signal to timely supplement the quantity of the allocated equipment, thereby realizing the deepened management and control of the equipment inventory.
And the quota management acquires a scheme generated by the intelligent management and control warehouse management and control system of the physical asset professional warehouse to supplement the inventory.
In-store management
The warehouse management and control system counts and inquires the in-warehouse conditions of the equipment in the warehouse, and satisfies the requirement that management personnel inquire the equipment in different states and types comprehensively and multi-condition.
The warehouse management and control system inquires the instrument, the spare parts and the dangerous chemical equipment accounts, including equipment names, quantity, specification and model numbers, states, warehouse-in time and the like, and can export the inquired contents of the equipment accounts into an Excel file and download the inquired contents to the local.
The warehouse management and control system supports related personnel to inquire the information of the equipment in the warehouse on line according to the local city, the warehouse, the equipment type, the equipment name and the like, and the information comprises the information of the equipment in the warehouse, the equipment in-warehouse state and the like.
The warehouse management and control system supports related personnel to inquire the leading information of equipment on line according to the local city, the warehouse, the equipment type, the equipment name and the like, wherein the leading information comprises information such as equipment delivery time, leading personnel, planned return date and the like.
The warehouse management and control system supports the arrangement of a virtual warehouse in the entity production professional warehouse and performs warehouse material management, thereby realizing material business processing and state tracking of different states.
The warehouse management and control system supports the change of the state of various equipment in the warehouse, such as instruments and meters, spare parts, dangerous chemicals and the like, and can select a certain equipment or a certain batch of equipment, manually adjust the state of the equipment and store the equipment.
Occupancy management
When equipment in the bin is currently in an occupied state, the storage management and control system can timely remind related personnel that the equipment cannot be taken out of the bin in the occupied state, and timely allocate related equipment, and meanwhile, the management personnel can inquire the occupied state of the equipment at any time.
When occupied, checking the name, occupied time, occupied number, applicant and the like of occupied equipment, planning the equipment for inspection and test, and when the date of inspection and test is close (can be set), automatically marking the occupied state of the current equipment by the warehouse management and control system, wherein the equipment marked with the occupied state cannot be taken out of the warehouse at the moment, and synchronizing the state of the equipment into the warehouse management and control system.
After the equipment is inspected and tested, the equipment is qualified, and after the equipment returns to the warehouse, the warehouse management and control system automatically cancels the occupied state, changes the occupied state into the available state, and the equipment with the unoccupied state can be normally taken out of the warehouse and synchronizes the equipment state into the warehouse management and control system.
The warehouse management and control system can inquire the occupation condition of various devices such as instruments and meters, spare parts, dangerous chemicals and the like, can inquire according to the conditions such as device names, device types, occupation time and the like, supports fuzzy inquiry and supports paging display.
Dial management
After a power grid accident or emergency defect occurs, when applicable equipment cannot be met in the range of the authority of the warehouse in the technical jurisdiction, an equipment department submits an allocation application to an upper-level unit, an equipment allocation flow is initiated in the system, and an allocation management function comprises an allocation inquiry and allocation data synchronization function to provide support service for each warehouse end.
When the allocation management is used, an allocation application form is created and initiated, the application form content comprises the allocated equipment names, equipment numbers, units, numbers, manufacturers, delivery dates, allocation warehouses, service lives, allocation reasons, applicant and the like, and a user can initiate an allocation application flow in the system.
The allocation management checks the quantity, the type and the like of the allocated devices according to an allocation bill, performs device delivery operation, performs device allocation confirmation after device delivery, and can be acquired by a data acquisition module or checked and input by a checking unit when the allocated data is delivered.
Inventory management
The intelligent handheld terminal, the intelligent goods shelf and other devices are utilized for automatic inventory, an inventory analysis report is automatically generated, the inventory analysis report is compared with the existing equipment inventory, the equipment inventory information data management work is carried out, and the accuracy and consistency of the inventory of the equipment at the warehouse end and the off-line are ensured.
The warehouse management and control system supports the establishment of automatic inventory plans of various devices such as instruments, spare parts, dangerous chemicals and the like according to a warehouse, and mainly selects information such as inventory ranges, inventory time and the like when the automatic inventory plans are manufactured, so that the warehouse management and control system automatically executes inventory work when the warehouse management and control system arrives.
When the automatic checking time is reached, the timing function of the warehouse management and control system schedules the checking unit to automatically execute checking work, and when checking is executed, the equipment in the current warehouse is checked one by one, the warehouse management and control system records checking records, registers the equipment in the warehouse state, and records checking logs.
The warehouse management and control system supports warehouse personnel to check on site through the mobile terminal equipment in the warehouse site, and after checking on site, the checking result is input into the warehouse management and control system, and the warehouse management and control system performs checking data verification to form a checking result record.
After the personnel in the bin check the stock in the field, generating a check report, inputting the check report into the stock control system, and comparing the manual check report with the stock control system check report by the stock control system, if the difference exists, generating a difference list.
Related personnel can inquire logs of each checking result of various devices such as instruments and meters in the bin, spare parts, dangerous chemicals and the like, support screening inquiry according to checking plan names, device names, checking time of checking persons and the like, display the inquiry results in a paging mode, and support Excel to be derived from the inquiry results.
Discard management
According to factors such as actual appearance damage and overhaul test results of inventory equipment, a technical identification application is provided for an equipment storage management and control system which does not meet relevant technical standards or has no repair value when damaged, and a company scrapping flow is timely performed for the equipment storage management and control system with scrapped technical identification conclusion.
The warehouse management and control system manages the inventory, test and delivery, and the inventory data can be modified and inquired to contain the equipment name, equipment number, unit, number, manufacturer, delivery date, warehouse, service life, scrapping reason, scrapping post treatment opinion, applicant and the like.
The warehouse management and control system creates and initiates a scrapping application form, and the content of the application form comprises equipment names, equipment numbers, units, quantity, manufacturers, delivery dates, storage warehouses, service lives, scrapping reasons, scrapping post-treatment comments, applicant and the like.
The warehouse management and control system supports multidimensional inquiry of various scrapped equipment such as instruments and meters of various bins, spare parts, dangerous chemicals and the like, can screen according to the equipment name, equipment type, scrapping time period, storage warehouse, units and the like, supports fuzzy inquiry, supports paging display and supports scrapping flow details checking.
And (5) performing spare part test management on spare parts.
Spare parts test management
The storage management and control system ensures reliable quality of the recycled assets, can meet the requirements of production, fire control and flood control at any time, needs to develop periodic tests on spare parts, is responsible for formulating spare part test standards by equipment departments, develops periodic checking tests on spare parts in professional bins according to the test standards, and performs the works of tests, maintenance, recording and the like.
The product, the equipment and the instruments are recycled, and the warehouse management and control system can automatically or manually convert the equipment with recycling value into a recycling state after the equipment is withdrawn from operation, and can use the equipment according to a recycling management flow after the equipment is converted into the recycling state.
And (5) performing verification management on the instruments and meters independently.
Verification management
Checking instrument verification information, early warning in advance, locking instruments and meters which are out of date and exceed tolerance time limit, and taking responsibility of maintaining verification period, early warning threshold value and out-of-tolerance time limit of each type of instruments and meters, selecting equipment from an early-warning equipment list, applying for a school, accepting tasks to be handled by a power saving department (metering center), maintaining a single equipment verification conclusion after detection is completed, uploading detection reports, updating verification information, and returning to a demand unit.
The instrument and meter responsibilities are that according to different spare parts types, the checking period, the early warning threshold value and the out-of-date wide limit time limit of each type of instrument and meter are newly built, maintained and deleted, and the checking period of each city, warehouse and instrument and meter type can be respectively set, inquired and revised on line.
Inquiring single instrument verification information including basic information, first detection date, last verification date, next verification date, fixed detection period, last verification date, last verification conclusion, report, verification unit, sending verification state, whether overtime, locking, marking instrument and instrument reaching verification early warning threshold value, popup early warning, collecting early warning equipment items to a to-be-verified equipment detail table (adjustable detail interface when verification is initiated), locking the uncorrected instrument and instrument which are overtime and exceed the overtime wide limit, prohibiting the acceptance except for sending verification, and giving out the warehouse alarm.
After the verification unit maintains the verification information, the returned result is saved, and the verification information of the corresponding equipment is updated, wherein the verification information comprises the last verification date, the last verification conclusion, the last verification unit, the last verification person, the last verification report and the number of days from the next verification, and the verification qualified equipment is cleared from the to-be-verified list.
According to the checking result of the instrument and meter, it is determined that the instrument and meter has partial defects to be maintained, and an equipment fault repair application form can be created, wherein the content of the application form comprises a repair equipment name, an equipment number, units, the number, a manufacturer, repair content, repair reasons, planned repair time, applicant and the like.
And when the instrument and meter can not be maintained and used continuously according to the checking result of the instrument and meter, the state of the equipment is modified into a state to be scrapped.
Rotation warehouse management
When the professional storehouse of this art can't satisfy equipment and use the application, the professional storehouse of this unit has suitable equipment of automatic matching, can propose equipment change storehouse application in storage management and control system, carry out the change storehouse flow, realize depositing from the warehouse material (with the flow of delivering from the storehouse) before changing the storehouse to change storehouse (with the flow of delivering into the storehouse) after the storehouse to guarantee the supplies, storage management and control system will produce simultaneously and change storehouse voucher, record supplies circulation route strength, ensure that the supplies flow direction is in control.
The method comprises the steps that bin related personnel establish and initiate a rotating bin application form through an inventory unit, wherein the application form content comprises equipment names, equipment numbers, units, quantity, manufacturers, delivery dates, rotating bin warehouses, service lives, rotating bin reasons, applicant and the like of rotating bins, and a user can initiate a rotating bin application flow in a storage management and control system; the personal background can check the record of the warehouse transfer society, and can check the approval result of the application in the record.
According to the warehouse-in bill, a warehouse end manager checks the quantity, the type and the like of the warehouse-out equipment, performs equipment warehouse-out operation, and performs equipment warehouse-out confirmation after equipment warehouse-out.
According to the warehouse transfer bill, a warehouse end manager checks the quantity, the type and the like of the equipment to be transferred, performs equipment warehouse entry operation, and performs equipment transfer confirmation after equipment warehouse entry.
The details of the rotating bins of the query equipment support query according to the city, bin, rotating bin bill, rotating bin equipment name, application unit, rotating target bin, rotating time, rotating original bin, rotating time, application unit, application time, application quantity, actual rotating bin quantity and the like, and support fuzzy query and paging display.
The comparison unit is used for comparing the environmental data in the warehouse management and control system, detecting the environment and giving an intelligent alarm.
Environment detection
The warehouse management and control system starts intelligent sensing equipment in the warehouse, bin temperature and humidity data acquired by the intelligent sensing equipment are uploaded to the internet of things management platform through the edge computing terminal, and the warehouse management and control system acquires bin environment data from the internet of things management platform, and the bin environment data comprises data such as temperature and humidity data, smoke sensing data, harmful gas data, door control warehouse management and control system data, video monitoring and the like in the bin.
The intelligent sensing equipment acquires bin temperature and humidity data, uploads the bin temperature and humidity data to the internet of things management platform through the edge computing terminal, and the bin management and control system acquires the bin temperature and humidity data from the internet of things management platform and displays the bin temperature and humidity data in real time; the temperature data and the humidity data are displayed in real time according to a certain rule, and a user can inquire the real-time and historical temperature and humidity data in each bin through a page of the warehouse management and control system and can carry out fuzzy inquiry according to conditions such as keywords such as bin names and the like.
The intelligent sensing equipment collects bin smoke sensing data, the bin smoke sensing data are uploaded to the internet of things management platform through the edge computing terminal, the bin smoke sensing data are obtained from the internet of things management platform through the bin management and control system, the bin smoke sensing data are displayed in real time, a user queries real-time and historical smoke sensing data in each bin through a bin management and control system page, and fuzzy query can be conducted according to conditions such as bin names and other keywords.
The bin harmful gas monitoring data collected by the intelligent sensing equipment are uploaded to the internet of things management platform through the edge computing terminal, the bin harmful gas monitoring data are obtained from the internet of things management platform by the bin management and control system, the bin harmful gas monitoring data are displayed in real time, a user inquires the bin harmful gas monitoring data in real time and in history through a bin management and control system page, and fuzzy inquiry can be carried out according to conditions such as bin names and other keywords.
The door control program identifies the face state, after a user passes the face authentication and opens the door, information such as bin numbers, door opening time, door opening people and the like is recorded, and the information is uploaded to the storage management and control system in real time, the storage management and control system performs data verification on collected data, after the verification is passed, the data is stored, and when the network fails or is interrupted, the information is uploaded at the first time in a recovery mode.
The warehouse management and control system counts the data of the temperature, humidity, smoke feeling and harmful gas concentration of the warehouse for daily, monthly and annual statistics, analyzes the environmental conditions of the warehouse, and gives reminding and improving measures to the warehouse with exceeding long-term environmental data.
Through equipment such as installation camera and hard disk recorder in different positions in wisdom storehouse, realize the omnidirectional video picture real-time supervision in wisdom storehouse, video equipment inserts unified video platform, and warehouse management and control system is through docking with unified video platform, provides according to functions such as the storehouse, the video preview of camera, historical video playback, support preview, concurrent processing of playback, when network trouble or interrupt, resume the first time and upload.
The method can inquire according to conditions such as starting time, ending time, camera names, camera positions, IP addresses and the like, so that real-time viewing of monitoring video pictures is realized, viewing video playback is supported, and multi-picture real-time picture preview is supported.
Intelligent alarm
The method comprises the steps of carrying out inventory warning, environment quantity warning, violation warning and the like according to the types of the ground city, the bin and equipment materials, prompting warning information in a high-brightness and flashing mode when the warning is caused by exceeding a threshold value, and automatically positioning the warning bin.
The alarm condition is set according to the types of the ground city, the bin and the equipment materials, the threshold value is set for the rated quantity of the equipment in the bin and the environmental index, when the alarm is caused by exceeding the threshold value, the alarm information is reminded in a high-brightness and flashing mode, and the alarm bin is automatically positioned, and different alarm triggering conditions can be set for each type of the ground city, the bin and the equipment materials.
The alarm type information is managed, functions of adding, editing, deleting, inquiring and the like of the alarm type are included, and related alarm types include quota alarm, temperature and humidity alarm, smoke alarm, harmful gas alarm, access control alarm and the like.
When the quantity of a certain device in the bin is about to reach a rated set threshold, the storage management and control system gives out a stock alarm reminding signal.
When a certain device in the bin is not used for a long time, the storage time reaches the storage threshold time, and the storage management and control system gives out a storage alarm reminding signal.
When the instrument and spare parts are about to reach or exceed the inspection plan time, the warehouse management and control system automatically gives out inspection reminding.
When the leading warehouse-out equipment is about to reach or exceed the equipment return planning time, the warehouse management and control system automatically gives a return prompt.
Analyzing the age of the new shopping assets in the warehouse, and reminding the belonged materials to the affiliated work area and the asset management responsibility.
The process approval process of the quota application form, the warehouse-in application form, the warehouse-out application form, the transfer application form and the transfer application form is unprocessed within a certain time when reaching a responsible person, and the warehouse management and control system automatically gives a process approval prompt.
The warehouse management and control system can also carry out warehouse maintenance and intelligent terminal equipment management: the system can perform maintenance of adding, modifying, deleting and inquiring of bin information of companies in various places, the bin specific information comprises bin names, units, professional bin grades, professional bin types, professional bin positions, responsible persons and the like, the terminal equipment related to the bin can be managed and maintained, the terminal equipment adding, editing, modifying and inquiring operations are included, and the terminal equipment is supported to be inquired according to the conditions of equipment names, equipment numbers and the like.
The warehouse management and control system can maintain the station and line equipment in the coverage area of the production warehouse, and establish association relations corresponding to spare part information of the production professional warehouse, so that the distribution condition of spare parts required by the production equipment can be timely and comprehensively known, and the like.
The warehouse management and control system can manage and maintain related terminal equipment in the warehouse, comprises the operations of adding, editing, modifying and inquiring the terminal equipment, supports inquiring the terminal equipment according to the equipment name, the equipment number and other conditions, and supports export and import.
The hardware adopted by the warehouse management and control system comprises a human face entrance guard integrated host, an intelligent weighing shelf, a network camera, a wireless radio frequency antenna, an RFID handheld terminal, an RFID ultrahigh frequency anti-metal plastic tag, a smoke sensor, a temperature and humidity sensor, harmful gas monitoring equipment, a warm air blower, a dehumidifier and an edge computing terminal.
The warehouse management and control system can also perform authority management, so that different data authorities are defined according to different ranges of users and roles, and certain data authorities can be assigned to appointed users.
The storage management and control system can also manage a knowledge base, provide specifications, notes, operation flows and the like of using instruments and meters and dangerous chemicals, warehousing, ex-warehouse, checking, scrapping, checking, maintaining and the like, and is convenient for related personnel to review online.
The warehouse management and control system can also carry out system management: including system menu management, system log management, interface management, standard job management, etc.
The warehouse management and control system can also perform report forms/comprehensive inquiry: the method comprises the functions of comprehensive inquiry of equipment accounts, comprehensive inquiry of equipment entity ID tracking, comprehensive inquiry of test plan completion conditions, existing quantitative reports (regional), existing quantitative reports (professional), receiving and sending stored reports (regional) and the like.
The intelligent management and control system of the physical asset professional warehouse is recorded, and is matched with the warehouse management and control system to construct, transport and examine professional instruments and meters, spare parts and dangerous chemical professional warehouse management templates, cover management processes and systems, organically link with an intelligent supply chain, strengthen the whole life cycle management of production materials and improve the level of lean and intelligent management;
the practicality of the physical asset ID is continuously developed, the equipment is subjected to inspection, test and maintenance, the service capacity and reliability of the equipment are improved, the equipment inspection information is effectively traced, the equipment quality is ensured, and the benefit recovery of the equipment asset is enhanced.
The intelligent warehouse system is integrated with an intelligent warehouse, realizes noninductive warehouse in-out, automatic inventory, automatic information input and the like of professional warehouse equipment, optimizes the production operation flow of basic teams, really meets the working requirements of first-line teams, improves the working efficiency and gives energy to basic teams when reducing the burden of the basic teams.
The above formulas are all formulas with dimensions removed and numerical values calculated, the formulas are formulas with a large amount of data collected for software simulation to obtain the latest real situation, and preset parameters in the formulas are set by those skilled in the art according to the actual situation.
The above embodiments may be implemented in whole or in part by software, hardware, firmware, or any other combination. When implemented in software, the above-described embodiments may be implemented in whole or in part in the form of a computer program product.

Claims (9)

1. Intelligent management and control warehouse management system of practicality asset specialty storehouse, its characterized in that includes:
and a data acquisition module: the system is used for collecting data of warehouse products and instruments in real time and preprocessing the collected data;
layout analysis module: judging warehouse products and instruments through preset standards, determining products which are stored in the warehouse in a key mode, judging the relevance between other products and the instruments and the key products, and generating a layout scheme of the products and the instruments;
and a data analysis module: the method comprises the steps of formulating a storage quantity interval of products and instruments according to a layout scheme generated by a layout analysis module, constructing a prediction model, and predicting consumption of the warehouse products and instruments in a warehouse replenishment period according to an analysis result of the layout analysis module;
the management control module comprises an inventory unit, a scheme generating unit and a comparison unit;
the method comprises the steps of checking actual data of warehouse products and instruments through a checking unit, inputting the checked data and consumption of the warehouse products and the instruments into a scheme generating unit, generating a replenishment value Repl of the products and the instruments, the total amount of the products and the instruments after replenishment and the residual amount of the products and the instruments at a next replenishment time point through a management threshold value set in a supervision alarm unit, comparing the total amount of the products and the instruments after replenishment with the residual amount of the products and the instruments at the next replenishment time point, and adjusting a replenishment scheme according to a comparison result.
2. The intelligent management and control warehouse management system of the physical asset specialized warehouse of claim 1, wherein: the data of the collected warehouse products and instruments comprise warehouse-in data, warehouse-out data, warehouse-in data and warehouse-out data.
3. The intelligent management and control warehouse management system of the physical asset specialized warehouse of claim 2, wherein: the process of analyzing and processing by the layout analysis module is as follows:
s1, classifying articles: classifying the articles in the warehouse according to the N types of items;
s2, importance judgment: judging the importance of the products in the same item and judging the core products;
s3, correlation judgment: judging the association degree between other products and instruments and core products in the same item, wherein the specific calculation formula of the association degree is as follows: ratio of other products and instruments = number of simultaneous consumption of other products and instruments with core product/number of core product consumption in the last year with project;
s4, dividing the area: dividing a warehouse site into N storage areas according to materials required by the project;
s5, position matching: the N groups of core products are placed in the N storage areas, other products and instruments are placed according to the relevance, and the higher the relevance is, the closer the distance between the other products and instruments and the core products is.
4. A physical asset specialty warehouse intelligent management and control warehouse management system as defined in claim 3, wherein: the process of constructing the prediction model is as follows:
i, data acquisition: extracting actual operation data of a warehouse, and acquiring warehouse data of a warehouse replenishment time point;
II, data analysis: the collected data are tidied, and the data of the warehouse which are not restocked at the restocking time point and the data after restocking are extracted;
III, calculating consumption: the consumption of products and instruments in different replenishment periods is calculated, and a specific calculation formula is as follows: consumption of products and instruments = number of products and instruments in warehouse after restocking-number of products and instruments in warehouse when restocking is not performed at the next restocking time point-number of naturally scrapped products and instruments;
IV, predicting consumption: the consumption of products and instruments in the future replenishment cycle is predicted, and a specific calculation formula is as follows:
wherein PCS is the predicted consumption of the product and the instrument, P is the consumption of the product and the instrument in the same replenishment period of the last year, i is the number of items in the same replenishment period of the last year, delta i The correction coefficient preset for the P item is the proportion of the same item to be expanded or reduced in the previous year.
5. The intelligent management and control warehouse management system of the physical asset specialized warehouse of claim 4, wherein: the actual data of the inventory unit for inventory of warehouse products and instruments includes the number of warehouse products and instruments, the number of emergency products and instruments, the number of borrowed products and instruments, the number of scrapped products and instruments, and the number of mobilized products and instruments.
6. The intelligent management and control warehouse management system of the physical asset specialized warehouse of claim 5, wherein: the formula according to which the plan generating unit generates the replenishment value Repl of the product and the instrument is as follows:
wherein K is a market price correction value, and J is other factor correction values;
the step of acquiring the correction value K is as follows:
collecting the price H of market products and instruments at the current time point and the average price Hn of the last n years market products and instruments;
the formula from which K is generated is as follows:
wherein H is 1 For the average price of the products and instruments in the last-year market, lambda is a constant correction coefficient, and the higher the correlation is, the higher the constant correction coefficient is;
the step of obtaining J is as follows:
collecting influence factor data of products and instruments at the current time point, and grading the influence factor data;
the formula from which J is generated is as follows:
Wherein m is the number of other factors, 0 m Scoring data for m influencing factors, 0 m label Standard data for m influencing factors ε m And the influence coefficient of the m influence factors on the product and instrument replenishment quantity.
7. The intelligent management and control warehouse management system of the physical asset specialized warehouse of claim 6, wherein: the formula according to which the total amount of the product and the instrument after replenishment is calculated is as follows:
wherein G is the total amount of the product and the instrument after replenishment, repl Clearing heat Counting the number of the counting units;
in Repl Library For the number of warehouse products and instruments,Repl waste of For the quantity of the scraped products and instruments in the warehouse, repl By means of Borrowing the quantity of products and instruments for the warehouse.
8. The intelligent management and control warehouse management system of the physical asset specialized warehouse of claim 7, wherein: the formula according to which the remaining amount of the product and the instrument at the next replenishment time point is calculated is as follows:
wherein G is The remainder is For the residual quantity of the product and the instrument at the next replenishment time point, G is the total quantity of the product and the instrument after replenishment, PCS Lower part(s) The predicted consumption of product and instrumentation for the next restocking cycle.
9. The intelligent management and control warehouse management system of the physical asset specialized warehouse of claim 8, wherein: the warehouse management threshold set in the supervision and alarm unit comprises a safety threshold G of warehouse storage products and instruments in each replenishment time point Lower part(s) And the warehouse stores the on-line threshold G of different products and instruments at different replenishment time points Upper part
After the bin threshold value set in the supervision alarm unit is compared with the total amount of products and instrument after replenishment and the residual amount of the products and the instrument at the next replenishment time point:
if G is Lower part(s) <G The remainder is And G<G Upper part The proposal generating unit is represented to generate the replenishment value Repl of the product and the instrument to meet the requirement, and the product and the instrument are replenished according to the replenishment value generated by the proposal generating unit;
if G is The remainder is <G Lower part(s) And G<G Upper part The scheme generating unit is used for generating a new scheme when the replenishment value Repl of the product and the instrument is insufficient New type =Repl+G Lower part(s) -G The remainder is
If G is Upper part <G, then represents the scheme generation unit to generate the product andthe instrument has excessive replenishment value Repl, and a new scheme is generated at the moment, wherein the replenishment value Repl is in the new scheme New type =G Upper part -Repl Clearing heat
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