CN109034605B - Warehouse logistics cargo quality evaluation system based on big data - Google Patents
Warehouse logistics cargo quality evaluation system based on big data Download PDFInfo
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Abstract
The invention discloses a cargo quality evaluation system based on warehouse logistics of big data, which comprises a cargo information acquisition module, a storage space division module, a storage parameter detection module, a management server and a display terminal, wherein the management server is respectively connected with the cargo information acquisition module, the storage space division module, the storage parameter detection module and the display terminal, and the management server counts cargo quality evaluation coefficients in the storage process of each cargo according to information sent by the acquisition information acquisition module and the storage parameter detection module and sends the counted cargo quality evaluation coefficients to the display terminal. According to the warehouse logistics goods quality evaluation system based on the big data, the management server is combined with the goods information acquisition module and the storage parameter detection module, so that the goods in the warehouse logistics can be accurately and effectively evaluated in quality, the intelligent characteristic is achieved, and the quality of the goods in the warehouse logistics meets the requirements of customers.
Description
Technical Field
The invention belongs to the technical field of warehouse logistics, and relates to a goods quality evaluation system of warehouse logistics based on big data.
Background
At present, warehouse logistics uses self-built or leased storehouses and sites to store, keep, load, unload, transport and deliver goods. The traditional storage definition is given from the perspective of material storage, and modern storage is not storage and storage management in the traditional sense, but storage in the background of integrating economic globalization and supply chain, and storage in modern logistics systems.
The goods examines product quality in the storage link in order to ensure that the goods with problematic quality flow into the market, influence consumer's right, influence manufacturer's reputation simultaneously to a certain extent, the goods is before the storage, can carry out the quality testing before the warehouse entry packing, in order to remove unqualified goods of quality, but at the in-process of storage, detect or check and detect by the manual work, in order to confirm the quality in the goods storage process, very big increase personnel's time and work load, simultaneously, because the storage time that different kinds of goods correspond is different and the storage environment requires differently, and then can't accurately carry out the quality testing to the warehouse goods, in order to reduce the error of stock goods, when guaranteeing that the goods is out of storage, the quality of goods satisfies the requirement.
Disclosure of Invention
The invention aims to provide a warehouse logistics goods quality evaluation system based on big data, which solves the problem that the quality of goods cannot be accurately and effectively evaluated in the existing goods storage process, further cannot ensure the quality of goods when the goods are delivered from a warehouse, and reduces the satisfaction degree of consumers and the credit of manufacturers.
The purpose of the invention can be realized by the following technical scheme:
a cargo quality evaluation system based on big data warehouse logistics comprises a cargo information acquisition module, a storage space division module, a storage parameter detection module, a management server and a display terminal, wherein the management server is respectively connected with the cargo information acquisition module, the storage space division module, the storage parameter detection module and the display terminal;
the goods information acquisition module is used for reading the RFID label on the goods packaging box, acquiring basic information of goods according to the label information, and sending the acquired basic information of the goods to the management server, wherein the basic information of the goods is stored in the RFID label;
the storage space dividing module divides the storage space of the warehouse logistics into a plurality of storage subunits, different storage subunits are used for storing different kinds of goods, the distance between each storage subunit and an outlet of the logistics warehouse is counted, the storage subunits are numbered according to the sequence from far to near, the sequence is 1,2, a.
Counting sales volumes of different goods types in a set time period, sequentially storing the sales volumes of the different goods types into corresponding storage subunits according to the sequence from high to low, and sending the storage subunit numbers corresponding to the goods types to a management server;
the storage parameter detection module comprises a plurality of groups of storage parameter detection units, the plurality of groups of storage parameter detection units are respectively installed in the packaging boxes in the storage sub-units and are used for detecting the temperature, the humidity and the pressure at the bottoms of the packaging boxes in real time and sending the detected temperature, humidity and pressure information and the serial numbers corresponding to the temperature, humidity and pressure information to the management server, the serial numbers corresponding to the storage parameter detection units in each group are consistent with the position serial numbers corresponding to the detected packaging boxes, namely the serial numbers corresponding to the temperature detection sub-units, the humidity detection sub-units and the pressure detection sub-units in the storage parameter detection units are all in one-to-one correspondence with the position serial numbers corresponding to the detected packaging boxes;
the management server receives basic information of the goods sent by the goods information acquisition module, obtains goods types, goods production dates, goods shelf life, goods storage conditions, goods weight, goods warehousing storage dates and the like corresponding to the goods, stores the goods to the positions in the corresponding storage subunits according to the goods types, judges the storage types corresponding to the goods types sent by the goods information acquisition module according to the goods types and the goods types, judges whether the storage types corresponding to the goods types are long-term storage types or not by identifying the storage types of the goods, if the storage types are long-term storage types, the management server sends a control instruction to the storage parameter detection module, the storage parameter detection unit in the storage parameter detection module for detecting the goods types does not detect environmental parameters, and the goods storage conditions comprise storage temperature ranges, A storage humidity range, a storage bearing pressure range and the like;
the management server receives the goods information and sends the goods production date, the goods quality guarantee period and the goods warehousing storage date corresponding to the goods type through the goods information acquisition module, and the aging factor D of the goods is countedxf；
The management server performs sequencing numbering according to the average storage time of all kinds of goods in the same goods type under natural conditions according to different goods types, and a goods type set A (a1, a 2., ai,.., am) is formed, wherein ai represents the ith goods type, and the storage time proportion corresponding to different goods types is ga1, ga2,..,. gai.,. and gam;
the storage time corresponding to different types in the same type is different, different cargo types under the same cargo type are numbered and sorted from short to long according to the storage time, and are respectively 1,2,. fara, j.. and n to form a cargo type storage time set Bi (Bi1, Bi2,. fara, bij.. and bin), wherein the Bi represents the storage time set of all the cargo types in the cargo type with the number of i, the bij represents the storage time corresponding to the jth cargo type in the cargo type with the number of i, the storage time coefficients of different cargo types in the cargo type storage time set Bi are different, a cargo type storage coefficient set GBi (GBi1, GBi2,. fara, gbij.,. gbin) is formed, and the gbij represents the storage coefficient corresponding to the jth cargo type in the cargo type with the number of i, wherein the gbin is equal to 1, and the gbin is equal to 1
The management server receives temperature and humidity information and pressure information at the bottom of each goods packaging box and corresponding serial numbers of the temperature, humidity and pressure information, which are sent by each storage parameter detection unit in the storage parameter detection module in real time, and divides the received temperature, humidity and pressure information according to set time periods to obtain a divided temperature time period set, a divided humidity time period set and a divided pressure time period set;
wherein the set of temperature time periods is Wxf (wxf1, wxf2, a.., wxfl, wxfz), z is divided into time period numbers, wxfl represents an average temperature value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average temperature in each time period in the set of temperature time periods is compared with the storage temperature range in the cargo storage condition one by one to obtain a temperature difference comparison set W ' xf (W ' xf1, W ' xf2, a.., W ' xfl, a.., W ' xfz), W ' xfl represents a temperature difference value between the average temperature value of the f-th cargo in the storage subunit with the number of x in the l-th time period and the storage temperature range, and if the average temperature of the cargo in the storage process is greater than the highest temperature value in the storage temperature range, W ' xfl takes the difference value of the average temperature and the highest temperature value in the storage temperature range to calculate the difference value, if the average temperature in the cargo storage process is smaller than the lowest temperature value in the storage temperature range, w 'xfl takes the average temperature and the lowest temperature value in the storage temperature range to calculate the difference and take the absolute value, and if the average temperature in the cargo storage process is in the storage temperature range, w' xfl takes 0;
the set of humidity time periods is Sxf (sxf1, sxf 2.., sxfl., > sxfz), sxfl represents the average humidity value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average humidity in each time period in the set of humidity time periods is compared with the stored humidity range in the cargo storage condition one by one to obtain a humidity difference comparison set S ' xf (S ' xf1, S ' xf 2.,. S ' xfl.,. S ' xfz), S ' xfl represents the humidity difference between the average humidity value of the f-th cargo in the l-th time period in the storage subunit with the number of x and the stored humidity range, if the average humidity of the cargo in the storage process is greater than the highest humidity value in the storage humidity range, S ' xfl takes the average humidity to be different from the highest humidity value in the storage humidity range, and if the average humidity in the storage process of the cargo is less than the lowest humidity value in the stored humidity range, s 'xfl takes the average humidity and the lowest humidity value in the storage humidity range to get the difference and take the absolute value, if the average humidity is in the storage humidity range in the cargo storage process, s' xfl takes 0;
the set of pressure time periods is Yxf (yxf1, yxf 2.,. multidot. yxfl.,. multidot. yxfz), yxfl represents the average pressure value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average pressure in each time period in the set of pressure time periods is compared with the bearing pressure range in the cargo storage condition one by one to obtain a pressure difference comparison set Y ' xf (Y ' xf1, Y ' xf 2.,. multidot. Y ' xfl.,. multidot. Y ' xfz), Y ' xfl represents the pressure difference value between the average pressure value of the f-th cargo in the storage subunit with the number of x in the l-th time period and the storage bearing pressure range, if the average pressure of the cargo in the storage process is greater than the highest pressure value in the bearing pressure range, Y ' xfl takes the difference value between the average pressure and the highest pressure value in the bearing pressure range, if the average pressure in the cargo storage process is less than or equal to the highest pressure value in the bearing pressure range, then y' xfl takes 0;
the management server counts the cargo quality evaluation coefficient in the cargo storage process according to the cargo type, storage category, cargo aging coefficient, cargo temperature difference comparison set, humidity difference comparison set and pressure difference comparison set
δxfThe storage subunit with the number x is represented with a cargo quality evaluation coefficient of the f-th cargo in the cargo storage process, theta is represented as a storage class, theta is 1 when the storage class is a long-term storage class, theta is 0.7 when the storage class is a short-term storage class, theta is 0.5 when the storage class is a temporary storage class, and D is DxfThe storage time specific gravity coefficient is expressed as an aging coefficient corresponding to the f-th cargo stored in the storage subunit with the number x, w ' xfl represents the temperature difference between the average temperature value and the storage temperature range of the f-th cargo in the storage subunit with the number x in the l-th time period, s ' xfl represents the humidity difference between the average humidity value and the storage humidity range of the f-th cargo in the storage subunit with the number x in the l-th time period, y ' xfl represents the pressure difference between the average pressure value and the storage bearing pressure range of the f-th cargo in the storage subunit with the number x in the l-th time period, A ' represents the storage time specific gravity coefficient of the f-th cargo in the storage subunit with the number x in the cargo type, and B ' represents the storage coefficient of the f-th cargo in the storage subunit with the number x in the cargo type;
the management server sends the statistical cargo quality evaluation coefficients corresponding to the cargos in the different storage subunits to the value display terminal according to the statistical cargo quality evaluation coefficients corresponding to the cargos in the different storage subunits;
and the display terminal is connected with the management server and used for receiving and displaying the goods quality evaluation coefficients corresponding to the goods in the different storage subunits sent by the management server.
Further, each goods packaging box is provided with an RFID label, basic information of goods is stored in the RFID label, and the goods in the packaging boxes are the goods qualified in quality inspection of the goods before packaging.
Further, the basic information of the goods comprises goods types, goods production dates, goods shelf lives, goods storage conditions, goods weights and goods warehousing storage dates, the goods types are divided into long-term storage categories, short-term storage categories and temporary storage categories according to the storage time, the goods types comprise clothes, shoes, articles for daily use, household appliances, packaged snacks, fruits and vegetables, the clothes, the shoes and the household appliances belong to the long-term storage categories, the articles for daily use, the packaged snacks and the like belong to the short-term storage categories, and the fruits and the vegetables and the like belong to the temporary storage categories.
Further, the storage time of the cargo types in the long-term storage category is more than 1 year, the storage time of the cargo types in the short-term storage category is between 10 days and 1 year, and the storage time of the cargo types in the temporary storage category is less than 10 days.
Further, the storage space of each storage subunit is based on the total quantity e of the goods stored in each storage subunit in the set time for sale and the volume v occupied by the goods with the largest packaging volume in the goods typexAt maximum, calculating the storage space of the storage subunit corresponding to the goods, wherein the calculation formula of the storage space is Vx＝e*vxAnd max.
Furthermore, the storage parameter detection units comprise a temperature detection subunit, a humidity detection subunit, a pressure detection subunit, a processor and a communication transmission subunit, the temperature detection subunit and the humidity detection subunit are respectively installed in each packaging box, the temperature detection subunit is a temperature sensor and is used for detecting the temperature in the packaging box in real time and sending detected temperature information to the processor, the humidity detection subunit is a humidity sensor and is used for detecting the humidity in the packaging box in real time and sending detected humidity information to the processor, the pressure detection subunit is a pressure sensor and is installed at the bottom of the packaging box and is used for detecting all pressure values at the bottom of the packaging box in real time and sending the detected pressure values to the processor;
the processor is respectively connected with the temperature detection subunit, the humidity detection subunit, the pressure detection subunit and the communication transmission subunit, is used for controlling the work of the temperature detection subunit, the humidity detection subunit and the pressure detection subunit, and is also used for sending the received temperature, humidity and pressure values sent by the temperature detection subunit, the humidity detection subunit and the pressure detection subunit and the numbers corresponding to the detection subunits to the communication transmission subunit;
the communication transmission subunit receives the temperature, humidity and pressure values sent by the processor and the numbers corresponding to the detection subunits, sends the values to the management server, receives the control instruction sent by the management server, and feeds the control instruction back to the processor.
Further, the aging factor of the goods
DxfIs expressed as the age factor corresponding to the f-th good stored in the storage subunit numbered x.
Further, the storage time for different cargo types is given by specific gravity ga1 < ga2 < > gai < > gam, and ga1+ ga2+ _ gai + _ gam + z, where z is a fixed value, gam is 1, and gai is the specific gravity coefficient corresponding to the ith cargo type.
The invention has the beneficial effects that:
1. the goods sales quantity of different types is counted, and the goods sales quantity is stored in the corresponding storage subunit according to the goods types from high to low, namely, the more the sales quantity of a certain type of goods is, the closer the storage subunit storing the type of goods is to the outlet, the convenience is brought to the goods access, the storage efficiency is improved, and the time is greatly saved;
2. the temperature, humidity and pressure information of the bottom of each packaging box are detected in real time through the storage parameter detection module, the detected temperature, humidity and pressure are sent to the management server, and the management server compares the temperature, humidity and pressure information with the temperature range, humidity range and pressure range in the storage condition one by one respectively to determine whether the storage environment meets the requirements or not and provide reliable environment reference for goods quality evaluation;
3. the management server counts the cargo quality evaluation coefficient in the cargo storage process according to the cargo type, the storage category, the cargo aging coefficient, the cargo temperature difference comparison set, the humidity difference comparison set and the pressure difference comparison set, so that the quality evaluation coefficient of each cargo is determined, the accuracy and the effectiveness of cargo quality evaluation are improved, the cargo with unqualified cargo quality is prevented from being delivered to a consumer from a warehouse, the quality of the cargo is convenient for managers to know in real time, the satisfaction degree of the consumer and the credit of manufacturers are improved, and meanwhile, the time and the energy consumed by manual cargo quality detection are greatly reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a cargo quality evaluation system based on warehouse logistics of big data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a cargo quality evaluation system based on big data warehouse logistics comprises a cargo information acquisition module, a storage space division module, a storage parameter detection module, a management server and a display terminal, wherein the management server is respectively connected with the cargo information acquisition module, the storage space division module, the storage parameter detection module and the display terminal;
each goods packaging box is provided with an RFID label, basic information of goods is stored in the RFID label, and the goods in the packaging box are all goods qualified in quality inspection before packaging;
the goods information acquisition module is used for reading an RFID label on a goods packaging box, acquiring basic information of goods according to label information, and sending the acquired basic information of the goods to the management server, wherein the basic information of the goods is stored in the RFID label, the basic information of the goods comprises a goods type, a goods production date, a goods quality guarantee period, goods storage conditions, goods weight, goods warehousing storage date and the like, and is divided into a long-term storage category, a short-term storage category and a temporary storage category according to the storable time of the goods type, the goods type comprises clothes, shoes, living goods, household electrical appliance products, packaged snacks, fruits, vegetables and the like, different goods types comprise different goods types, for example, the shoe type comprises sports shoes, sandals, single shoes, slippers and other types, wherein the clothes, the shoes and the household electrical appliance products belong to the long-term storage category, the daily necessities, packaged snacks and the like belong to a short-term storage category, the fruits, the vegetables and the like belong to a temporary storage category, the storage time of the goods types in the long-term storage category is more than 1 year, the storage time of the goods types in the short-term storage category is between 10 days and 1 year, and the storage time of the goods types in the temporary storage category is less than 10 days;
the storage space dividing module divides the storage space of the warehouse logistics into a plurality of storage subunits, different storage subunits are used for storing different types of goods, namely the same storage subunit is used for storing goods of different brands under the same goods type, the distance between each storage subunit and an outlet of the logistics warehouse is counted, each storage subunit is numbered according to the sequence from far to near, the sequence is 1,2, a.
Counting sales volumes of different goods types in a set time period, sequentially storing the sales volumes of the different goods types into corresponding storage subunits according to the sequence from high to low of the sales volumes of the different goods types, and sending the storage subunit numbers corresponding to the goods types to a management server, namely storing the goods type with the largest sales volume in all the goods types into the storage subunit with the number of 1, storing the goods type with the next sales volume into the storage subunit with the number of 2, and storing the goods type with the smallest sales volume into the storage subunit with the number of y;
wherein, the storage space of each storage subunit is based on the total quantity e of goods stored in each storage subunit sold in the set time and the volume v occupied by the goods with the largest packaging volume in the goods typexAt maximum, calculating the storage space of the storage subunit corresponding to the goods, wherein the calculation formula of the storage space is Vx＝e*vxAnd max.
The storage parameter detection module comprises a plurality of groups of storage parameter detection units, the plurality of groups of storage parameter detection units are respectively installed in the packaging boxes in the storage subunits and are used for detecting the temperature, the humidity and the pressure at the bottom of each packaging box in real time and sending the detected temperature, humidity and pressure information and the serial numbers corresponding to the temperature, humidity and pressure information to the management server, the serial numbers corresponding to the storage parameter detection units in each group are consistent with the position serial numbers corresponding to the detected packaging boxes, namely, the serial numbers corresponding to the temperature detection subunit, the humidity detection subunit and the pressure detection subunit in the storage parameter detection unit are all the same with the position serial number sequence corresponding to the detected packaging boxes, the serial number of the storage parameter detection unit in the storage subunit with the example serial number sequence of x is xf, the serial number of the storage parameter detection unit in the storage parameter detection unit is xf, the temperature detection subunit in the storage parameter detection unit is xf, The corresponding serial numbers of the humidity detection subunit and the pressure detection subunit are wxf, sxf and yxf respectively;
the storage parameter detection units respectively comprise a temperature detection subunit, a humidity detection subunit, a pressure detection subunit, a processor and a communication transmission subunit, the temperature detection subunit and the humidity detection subunit are respectively installed in each packaging box, the temperature detection subunit is a temperature sensor and used for detecting the temperature in the packaging box in real time and sending detected temperature information to the processor, the humidity detection subunit is a humidity sensor and used for detecting the humidity in the packaging box in real time and sending detected humidity information to the processor, the pressure detection subunit is a pressure sensor and installed at the bottom of the packaging box and used for detecting all pressure values at the bottom of the packaging box in real time and sending the detected pressure values to the processor;
the processor is respectively connected with the temperature detection subunit, the humidity detection subunit, the pressure detection subunit and the communication transmission subunit, is used for controlling the work of the temperature detection subunit, the humidity detection subunit and the pressure detection subunit, and is also used for sending the received temperature, humidity and pressure values sent by the temperature detection subunit, the humidity detection subunit and the pressure detection subunit and the numbers corresponding to the detection subunits to the communication transmission subunit;
the communication transmission subunit receives the temperature, humidity and pressure values sent by the processor and the numbers corresponding to the detection subunits, sends the values to the management server, receives the control instruction sent by the management server and feeds the control instruction back to the processor;
the management server receives basic information of the goods sent by the goods information acquisition module, obtains goods types, goods production dates, goods shelf life, goods storage conditions, goods weight, goods warehousing storage dates and the like corresponding to the goods, stores the goods to the positions in the corresponding storage subunits according to the goods types, judges the storage types corresponding to the goods types sent by the goods information acquisition module according to the goods types and the goods types, judges whether the storage types corresponding to the goods types are long-term storage types or not by identifying the storage types of the goods, if the storage types are long-term storage types, the management server sends a control instruction to the storage parameter detection module, the storage parameter detection unit in the storage parameter detection module for detecting the goods types does not detect environmental parameters, and the goods storage conditions comprise storage temperature ranges, A storage humidity range, a storage bearing pressure range and the like;
the management server receives the goods production corresponding to the goods type sent by the goods information acquisition moduleThe date, the shelf life of the goods and the warehousing and storage date of the goods are counted, and the aging factor of the goods is counted
DxfRepresenting the aging coefficient corresponding to the f-th cargo stored in the storage subunit with the number x;
the management server performs sequencing numbering according to average storage time of all kinds of goods in the same goods type under natural conditions according to different goods types from short to long to form a goods type set A (a1, a 2., ai,. and am), wherein ai is represented as the ith goods type, and storage time specific weights corresponding to different goods types are ga1, ga2,. 9,. gai,. and gam, 1 < ga2,. < gai,. < gam,. 1+ ga2+. + gam z, z is a fixed numerical value, gam ═ 1, and gai is represented as a specific weight coefficient corresponding to the ith goods type;
wherein, for example, the fruit type includes grape, pear, apple, peach, banana, watermelon, etc., the storage time corresponding to different types in the same type is different, different cargo types under the same cargo type are numbered and sorted according to the storage time from short to long, which are respectively 1,2, 9, j, 9, n, a cargo type storage time set Bi (Bi1, Bi2, 9, bij, b) represents the storage time set of all cargo types in the cargo type with the number i, bij represents the storage time corresponding to the jth cargo type in the cargo type with the number i, different cargo type storage time coefficients in the cargo type storage time set Bi are different, a cargo type storage coefficient set GBi (GBi1, GBi2, g Bi, g b) is formed, g Bi represents the storage coefficient corresponding to the jth cargo type in the cargo type with the number i, wherein gbin is equal to 1, and
the management server receives temperature and humidity information and pressure information at the bottom of each goods packaging box and corresponding serial numbers of the temperature, humidity and pressure information, which are sent by each storage parameter detection unit in the storage parameter detection module in real time, and divides the received temperature, humidity and pressure information according to set time periods to obtain a divided temperature time period set, a divided humidity time period set and a divided pressure time period set;
wherein the set of temperature time periods is Wxf (wxf1, wxf2, a.., wxfl, wxfz), z is divided into time period numbers, wxfl represents an average temperature value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average temperature in each time period in the set of temperature time periods is compared with the storage temperature range in the cargo storage condition one by one to obtain a temperature difference comparison set W ' xf (W ' xf1, W ' xf2, a.., W ' xfl, a.., W ' xfz), W ' xfl represents a temperature difference value between the average temperature value of the f-th cargo in the storage subunit with the number of x in the l-th time period and the storage temperature range, and if the average temperature of the cargo in the storage process is greater than the highest temperature value in the storage temperature range, W ' xfl takes the difference value of the average temperature and the highest temperature value in the storage temperature range to calculate the difference value, if the average temperature in the cargo storage process is smaller than the lowest temperature value in the storage temperature range, w 'xfl takes the average temperature and the lowest temperature value in the storage temperature range to calculate the difference and take the absolute value, and if the average temperature in the cargo storage process is in the storage temperature range, w' xfl takes 0;
the set of humidity time periods is Sxf (sxf1, sxf 2.., sxfl., > sxfz), sxfl represents the average humidity value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average humidity in each time period in the set of humidity time periods is compared with the stored humidity range in the cargo storage condition one by one to obtain a humidity difference comparison set S ' xf (S ' xf1, S ' xf 2.,. S ' xfl.,. S ' xfz), S ' xfl represents the humidity difference between the average humidity value of the f-th cargo in the l-th time period in the storage subunit with the number of x and the stored humidity range, if the average humidity of the cargo in the storage process is greater than the highest humidity value in the storage humidity range, S ' xfl takes the average humidity to be different from the highest humidity value in the storage humidity range, and if the average humidity in the storage process of the cargo is less than the lowest humidity value in the stored humidity range, s 'xfl takes the average humidity and the lowest humidity value in the storage humidity range to get the difference and take the absolute value, if the average humidity is in the storage humidity range in the cargo storage process, s' xfl takes 0;
the set of pressure time periods is Yxf (yxf1, yxf 2.,. multidot. yxfl.,. multidot. yxfz), yxfl represents the average pressure value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average pressure in each time period in the set of pressure time periods is compared with the bearing pressure range in the cargo storage condition one by one to obtain a pressure difference comparison set Y ' xf (Y ' xf1, Y ' xf 2.,. multidot. Y ' xfl.,. multidot. Y ' xfz), Y ' xfl represents the pressure difference value between the average pressure value of the f-th cargo in the storage subunit with the number of x in the l-th time period and the storage bearing pressure range, if the average pressure of the cargo in the storage process is greater than the highest pressure value in the bearing pressure range, Y ' xfl takes the difference value between the average pressure and the highest pressure value in the bearing pressure range, if the average pressure in the cargo storage process is less than or equal to the highest pressure value in the bearing pressure range, then y' xfl takes 0;
the management server counts the cargo quality evaluation coefficient in the cargo storage process according to the cargo type, storage category, cargo aging coefficient, cargo temperature difference comparison set, humidity difference comparison set and pressure difference comparison set
δxfThe storage subunit with the number x is represented with a cargo quality evaluation coefficient of the f-th cargo in the cargo storage process, theta is represented as a storage class, theta is 1 when the storage class is a long-term storage class, theta is 0.7 when the storage class is a short-term storage class, theta is 0.5 when the storage class is a temporary storage class, and D is DxfThe aging factor corresponding to the f-th cargo stored in the storage subunit is represented as x, w ' xfl represents the temperature difference between the average temperature value and the storage temperature range of the f-th cargo in the storage subunit is represented as x, s ' xfl represents the humidity difference between the average humidity value and the storage humidity range of the f-th cargo in the storage subunit is represented as x, and y ' xfl represents the average pressure value and the storage humidity range of the f-th cargo in the storage subunit is represented as xStoring the pressure difference value in the bearing pressure range, wherein A 'represents the storage time specific gravity coefficient of the type of the f-th cargo in the storage subunit with the number of x, B' represents the storage coefficient of the type of the f-th cargo in the storage subunit with the number of x, the cargo quality evaluation coefficient is smaller than 1, and meanwhile, the larger the cargo quality evaluation coefficient is, the longer the cargo is stored in the current environment;
the management server sends the statistical cargo quality evaluation coefficients corresponding to the cargos in the different storage subunits to the value display terminal according to the statistical cargo quality evaluation coefficients corresponding to the cargos in the different storage subunits;
the display terminal is connected with the management server and used for receiving and displaying the goods quality evaluation coefficients corresponding to the goods in the different storage subunits sent by the management server, so that warehouse logistics management personnel can visually know the goods quality in the storage process of the goods.
The foregoing is merely illustrative and explanatory of the inventive concept and various modifications, additions or substitutions as are known to those skilled in the art may be made to the specific embodiments described without departing from the inventive concept or exceeding the scope as defined in the claims.
Claims (8)
1. The utility model provides a goods quality evaluation system of warehouse commodity circulation based on big data which characterized in that: the system comprises a cargo information acquisition module, a storage space division module, a storage parameter detection module, a management server and a display terminal, wherein the management server is respectively connected with the cargo information acquisition module, the storage space division module, the storage parameter detection module and the display terminal;
the goods information acquisition module is used for reading the RFID label on the goods packaging box, acquiring basic information of goods according to the label information, and sending the acquired basic information of the goods to the management server, wherein the basic information of the goods is stored in the RFID label;
the storage space dividing module divides the storage space of the warehouse logistics into a plurality of storage subunits, different storage subunits are used for storing different kinds of goods, the distance between each storage subunit and an outlet of the logistics warehouse is counted, the storage subunits are numbered according to the sequence from far to near, the sequence is 1,2, a.
Counting sales volumes of different goods types in a set time period, sequentially storing the sales volumes of the different goods types into corresponding storage subunits according to the sequence from high to low, and sending the storage subunit numbers corresponding to the goods types to a management server;
the storage parameter detection module comprises a plurality of groups of storage parameter detection units, the plurality of groups of storage parameter detection units are respectively installed in the packaging boxes in the storage sub-units and are used for detecting the temperature, the humidity and the pressure at the bottoms of the packaging boxes in real time and sending the detected temperature, humidity and pressure information and the serial numbers corresponding to the temperature, humidity and pressure information to the management server, the serial numbers corresponding to the storage parameter detection units in each group are consistent with the position serial numbers corresponding to the detected packaging boxes, namely the serial numbers corresponding to the temperature detection sub-units, the humidity detection sub-units and the pressure detection sub-units in the storage parameter detection units are all in one-to-one correspondence with the position serial numbers corresponding to the detected packaging boxes;
the management server receives basic information of the goods sent by the goods information acquisition module, obtains the goods type, the goods production date, the goods shelf life, the goods storage condition, the goods weight and the goods warehousing storage date corresponding to each goods, stores the goods to the positions in the corresponding storage subunits according to the goods type, judges the storage type corresponding to the goods type sent by the goods information acquisition module according to the goods type and the goods type, judges whether the storage type corresponding to the goods type is a long-term storage type or not by identifying the storage type of the goods, if the storage type is the long-term storage type, the management server sends a control instruction to the storage parameter detection module, the storage parameter detection unit for detecting the goods type in the storage parameter detection module does not detect environmental parameters, and the goods storage condition comprises a storage temperature range, A storage humidity range and a storage bearing pressure range;
the management server receives the goods information and sends the goods production date, the goods quality guarantee period and the goods warehousing storage date corresponding to the goods type through the goods information acquisition module, and the aging factor D of the goods is countedxf；
The management server performs sequencing numbering according to the average storage time of all kinds of goods in the same goods type under natural conditions according to different goods types, and a goods type set A (a1, a 2., ai,.., am) is formed, wherein ai represents the ith goods type, and the storage time proportion corresponding to different goods types is ga1, ga2,..,. gai.,. and gam;
the storage time corresponding to different types in the same type is different, different cargo types under the same cargo type are numbered and sorted from short to long according to the storage time, and are respectively 1,2,. fara, j.. and n to form a cargo type storage time set Bi (Bi1, Bi2,. fara, bij.. and bin), wherein the Bi represents the storage time set of all the cargo types in the cargo type with the number of i, the bij represents the storage time corresponding to the jth cargo type in the cargo type with the number of i, the storage time coefficients of different cargo types in the cargo type storage time set Bi are different, a cargo type storage coefficient set GBi (GBi1, GBi2,. fara, gbij.,. gbin) is formed, and the gbij represents the storage coefficient corresponding to the jth cargo type in the cargo type with the number of i, wherein the gbin is equal to 1, and the gbin is equal to 1
The management server receives temperature and humidity information and pressure information at the bottom of each goods packaging box and corresponding serial numbers of the temperature, humidity and pressure information, which are sent by each storage parameter detection unit in the storage parameter detection module in real time, and divides the received temperature, humidity and pressure information according to set time periods to obtain a divided temperature time period set, a divided humidity time period set and a divided pressure time period set;
wherein the set of temperature time periods is Wxf (wxf1, wxf2, a.., wxfl, wxfz), z is divided into time period numbers, wxfl represents an average temperature value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average temperature in each time period in the set of temperature time periods is compared with the storage temperature range in the cargo storage condition one by one to obtain a temperature difference comparison set W ' xf (W ' xf1, W ' xf2, a.., W ' xfl, a.., W ' xfz), W ' xfl represents a temperature difference value between the average temperature value of the f-th cargo in the storage subunit with the number of x in the l-th time period and the storage temperature range, and if the average temperature of the cargo in the storage process is greater than the highest temperature value in the storage temperature range, W ' xfl takes the difference value of the average temperature and the highest temperature value in the storage temperature range to calculate the difference value, if the average temperature in the cargo storage process is smaller than the lowest temperature value in the storage temperature range, w 'xfl takes the average temperature and the lowest temperature value in the storage temperature range to calculate the difference and take the absolute value, and if the average temperature in the cargo storage process is in the storage temperature range, w' xfl takes 0;
the set of humidity time periods is Sxf (sxf1, sxf 2.., sxfl., > sxfz), sxfl represents the average humidity value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average humidity in each time period in the set of humidity time periods is compared with the stored humidity range in the cargo storage condition one by one to obtain a humidity difference comparison set S ' xf (S ' xf1, S ' xf 2.,. S ' xfl.,. S ' xfz), S ' xfl represents the humidity difference between the average humidity value of the f-th cargo in the l-th time period in the storage subunit with the number of x and the stored humidity range, if the average humidity of the cargo in the storage process is greater than the highest humidity value in the storage humidity range, S ' xfl takes the average humidity to be different from the highest humidity value in the storage humidity range, and if the average humidity in the storage process of the cargo is less than the lowest humidity value in the stored humidity range, s 'xfl takes the average humidity and the lowest humidity value in the storage humidity range to get the difference and take the absolute value, if the average humidity is in the storage humidity range in the cargo storage process, s' xfl takes 0;
the set of pressure time periods is Yxf (yxf1, yxf 2.,. multidot. yxfl.,. multidot. yxfz), yxfl represents the average pressure value of the f-th cargo in the storage subunit with the number of x in the l-th time period, the average pressure in each time period in the set of pressure time periods is compared with the bearing pressure range in the cargo storage condition one by one to obtain a pressure difference comparison set Y ' xf (Y ' xf1, Y ' xf 2.,. multidot. Y ' xfl.,. multidot. Y ' xfz), Y ' xfl represents the pressure difference value between the average pressure value of the f-th cargo in the storage subunit with the number of x in the l-th time period and the storage bearing pressure range, if the average pressure of the cargo in the storage process is greater than the highest pressure value in the bearing pressure range, Y ' xfl takes the difference value between the average pressure and the highest pressure value in the bearing pressure range, if the average pressure in the cargo storage process is less than or equal to the highest pressure value in the bearing pressure range, then y' xfl takes 0;
the management server counts the cargo quality evaluation coefficient in the cargo storage process according to the cargo type, storage category, cargo aging coefficient, cargo temperature difference comparison set, humidity difference comparison set and pressure difference comparison set
δxfThe storage subunit with the number x is represented with a cargo quality evaluation coefficient of the f-th cargo in the cargo storage process, theta is represented as a storage class, theta is 1 when the storage class is a long-term storage class, theta is 0.7 when the storage class is a short-term storage class, theta is 0.5 when the storage class is a temporary storage class, and D is DxfThe aging coefficient corresponding to the f-th cargo stored in the storage subunit with the number x is expressed, w 'xfl represents the temperature difference between the average temperature value and the storage temperature range of the f-th cargo in the storage subunit with the number x in the l-th time period, s' xfl represents the humidity difference between the average humidity value and the storage humidity range of the f-th cargo in the storage subunit with the number x in the l-th time period, y 'xfl represents the pressure difference between the average pressure value and the storage bearing pressure range of the f-th cargo in the storage subunit with the number x in the l-th time period, and A' represents the storage time specific gravity coefficient of the type of the f-th cargo in the storage subunit with the number x,b' represents a storage coefficient of the f-th cargo in the storage subunit with the number x;
the management server sends the statistical cargo quality evaluation coefficients corresponding to the cargos in the different storage subunits to the value display terminal according to the statistical cargo quality evaluation coefficients corresponding to the cargos in the different storage subunits;
and the display terminal is connected with the management server and used for receiving and displaying the goods quality evaluation coefficients corresponding to the goods in the different storage subunits sent by the management server.
2. The system for evaluating the quality of goods in warehouse logistics based on big data as claimed in claim 1, wherein: each goods packaging box is provided with an RFID label, basic information of goods is stored in the RFID label, and the goods in the packaging box are the goods qualified in the quality inspection of the goods before packaging.
3. The system for evaluating the quality of goods in warehouse logistics based on big data as claimed in claim 1, wherein: the basic information of the goods comprises goods types, goods production dates, goods shelf lives, goods storage conditions, goods weights and goods warehousing storage dates, the goods types are divided into long-term storage categories, short-term storage categories and temporary storage categories according to storage time, the goods types comprise clothes, shoes, living goods, household electrical appliances, packaged snacks, fruits and vegetables, the clothes, the shoes and the household electrical appliances belong to the long-term storage categories, the living goods and the packaged snacks belong to the short-term storage categories, and the fruits and the vegetables belong to the temporary storage categories.
4. The system for evaluating the quality of goods in warehouse logistics based on big data as claimed in claim 3, wherein: the storage time of the goods types in the long-term storage category is more than 1 year, the storage time of the goods types in the short-term storage category is between 10 days and 1 year, and the storage time of the goods types in the temporary storage category is less than 10 days.
5. The system for evaluating the quality of goods in warehouse logistics based on big data as claimed in claim 1, wherein: the storage space of each storage subunit is sold in a set time according to the total quantity e of the goods types stored in each storage subunit and the volume v occupied by the goods with the largest packaging volume in the goods typesx maxCalculating the storage space of the storage subunit corresponding to the goods, wherein the calculation formula of the storage space is Vx＝e*vx max。
6. The system for evaluating the quality of goods in warehouse logistics based on big data as claimed in claim 1, wherein: the storage parameter detection units respectively comprise a temperature detection subunit, a humidity detection subunit, a pressure detection subunit, a processor and a communication transmission subunit, the temperature detection subunit and the humidity detection subunit are respectively installed in each packaging box, the temperature detection subunit is a temperature sensor and is used for detecting the temperature in the packaging box in real time and sending detected temperature information to the processor, the humidity detection subunit is a humidity sensor and is used for detecting the humidity in the packaging box in real time and sending detected humidity information to the processor, the pressure detection subunit is a pressure sensor and is installed at the bottom of the packaging box and used for detecting all pressure values at the bottom of the packaging box in real time and sending the detected pressure values to the processor;
the processor is respectively connected with the temperature detection subunit, the humidity detection subunit, the pressure detection subunit and the communication transmission subunit, is used for controlling the work of the temperature detection subunit, the humidity detection subunit and the pressure detection subunit, and is also used for sending the received temperature, humidity and pressure values sent by the temperature detection subunit, the humidity detection subunit and the pressure detection subunit and the numbers corresponding to the detection subunits to the communication transmission subunit;
the communication transmission subunit receives the temperature, humidity and pressure values sent by the processor and the numbers corresponding to the detection subunits, sends the values to the management server, receives the control instruction sent by the management server, and feeds the control instruction back to the processor.
7. The system for evaluating the quality of goods in warehouse logistics based on big data as claimed in claim 1, wherein: age factor of cargo
DxfIs expressed as the age factor corresponding to the f-th good stored in the storage subunit numbered x.
8. The system for evaluating the quality of goods in warehouse logistics based on big data as claimed in claim 1, wherein: the storage time of different cargo types corresponds to specific gravity ga1 < ga2 < gai > < gam, and ga1+ ga2+ - + gai + - + gam ═ z, z is a fixed value, gam ═ 1, and gai is expressed as a specific gravity coefficient corresponding to the ith cargo type.
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| CN112581046A (en) * | 2019-09-27 | 2021-03-30 | 上海佐理供应链管理有限公司 | Warehouse logistics management system and method |
| CN111582735B (en) * | 2020-05-12 | 2021-01-08 | 深圳同徽网络技术有限公司 | Intelligent warehouse logistics commercial commodity quality monitoring and management system based on big data |
| CN111915094A (en) * | 2020-08-12 | 2020-11-10 | 王后磊 | Warehousing method and system based on artificial intelligence |
| CN112348429B (en) * | 2020-10-09 | 2022-03-25 | 江苏中利集团股份有限公司 | Processing method and device for improving performance of polymer material |
| CN115018430B (en) * | 2022-08-08 | 2022-12-09 | 国网天津市电力公司物资公司 | Electric power storage material inventory monitoring replenishment system based on data analysis |
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