CN112215556A - Intelligent warehousing system - Google Patents
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- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
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Abstract
The invention discloses an intelligent warehousing system which comprises a cloud computing server, a detection unit, a storage statistical unit, a safety management unit, a registration login unit and a database; the method comprises the steps that the articles are counted and stored through a storage counting unit, the warehouse is divided into areas and sorted according to the area types, the articles are divided and matched with the areas at the same time, the retention time of a goods taking person in each area in front of a shelf is obtained, and the articles in each area are arranged according to the retention time from high to low; the article that will store are divided, and effective reasonable storage has reduced managers' working strength, logs in through the security management unit to the managers and carries out safety control, through the detection to the managers login, has improved the security of server, has reduced the risk that article were stolen.
Description
Technical Field
The invention relates to the technical field of warehouse storage, in particular to an intelligent warehousing system.
Background
The warehousing system is a subsystem of the logistics system, is used as an intermediate link of supply and consumption, can play a role in buffering and balancing supply and demand contradictions, and generally comprises links of receiving, storing, taking and delivering goods.
The patent with the publication number of CN104809609B discloses an intelligent warehouse management system and a management method, comprising a remote intelligent terminal, a warehouse server, a human-computer interaction platform connected with the warehouse server, a plurality of shelves and a handheld device, wherein the remote intelligent terminal and the warehouse server realize data interaction in a wireless communication mode, the human-computer interaction platform is in wired connection with the warehouse server, and the remote intelligent terminal, the handheld device and the shelves are in wireless communication with the warehouse server to inquire goods information. The invention discloses an intelligent warehouse management system, which realizes data transmission between a client and a warehouse in a wireless communication mode, realizes intelligent management in the warehouse, automatically identifies the position of goods, and avoids the tedious work of warehouse managers on goods.
However, in this patent, the areas for storing the articles in the warehouse cannot be reasonably allocated, which increases the workload of the staff, increases the error rate, brings unnecessary trouble, and at the same time, the registered staff cannot be detected, which may cause the articles to be stolen, thereby reducing the safety performance of the warehouse.
Disclosure of Invention
The invention aims to provide an intelligent warehousing system, which is characterized in that a storage statistical unit is used for counting and storing articles, the warehouse is divided into areas and is sorted according to the area types, the area types comprise a high-activity area and a low-activity area, the article activity is analyzed, and the articles are reasonably matched with each area: acquiring the number of times of use, the frequency of use and the total number of articles of the article, acquiring the activity coefficient HYi of the article through a formula, and if the activity coefficient HYi of the article is more than or equal to the activity coefficient threshold value, marking the article as a highly active article and placing the highly active article in a highly active area; if the activity coefficient HYi of the item is less than the activity coefficient threshold value, marking the item as a low-activity item and putting the low-activity item into a low-activity area; the method comprises the steps of obtaining the staying time of goods taking personnel in each area in front of a shelf, and arranging the goods in each area according to the sequence of the staying time from high to low; the stored articles are divided, so that the articles are effectively and reasonably stored, and the working intensity of managers is reduced.
The purpose of the invention can be realized by the following technical scheme:
an intelligent warehousing system comprises a cloud computing server, a detection unit, a storage statistical unit, a safety management unit, a registration login unit and a database;
the storage statistical unit is used for counting and storing the articles, and the specific statistical storage analysis is as follows:
s1: the method comprises the steps of dividing a warehouse into areas and sorting the areas according to area types, wherein the area types comprise a high-activity area and a low-activity area;
s2: analyzing the activity of the article, and reasonably matching the article with each region:
s21: acquiring the use times, the use frequency and the total quantity of the articles, and correspondingly marking the articles as CSi, PLi and SLi in sequence;
s22: acquiring an activity coefficient HYi of the article by using a formula HYi ═ β (CSi × b1+ PLi × b2+ SLi × b3), wherein b1, b2 and b3 are preset proportionality coefficients, b1 is greater than b2 is greater than b3 is greater than 0, β is an error correction factor, and a value is 2.0365987;
s23: comparing the activity coefficient HYi of the item to an activity coefficient threshold: if the activity coefficient HYi of the item is more than or equal to the activity coefficient threshold value, marking the item as a highly active item and placing the highly active item in a highly active area; if the activity coefficient HYi of the item is less than the activity coefficient threshold value, marking the item as a low-activity item and putting the low-activity item into a low-activity area;
s3: the method comprises the steps of obtaining the stay time of goods taking personnel in each area in front of a shelf, marking the stay time of goods as SJi, arranging the goods in each area from high to low according to the stay time SJi, and sending the arranged goods to a cloud computing server for storage.
Further, the registration login unit is used for the managers and the transporters to submit manager data and transporter data for registration through mobile phone terminals, the manager data and the transporter data which are successfully registered are sent to a database for storage, meanwhile, the manager data and the transporter data which are successfully registered are sent to the cloud computing server, the cloud computing server receives the manager account and the transporter account and sends the manager account and the transporter account to the mobile phone terminals of the managers and the transporters, the manager data comprise names, ages, working hours and mobile phone numbers of real-name authentication of the managers, and the transporter data comprise names, ages, major disease histories and mobile phone numbers of real-name authentication of the transporters.
Further, the detecting unit is configured to analyze status information of the article, so as to detect the article, where the status information of the article includes a number of times that the article is partially worn, an amount of dust on a surface of the article, and a transportation duration of the article, and a specific analyzing and detecting process is as follows:
the method comprises the steps of firstly, acquiring the number of times of partial wear of an article, and marking the number of times of partial wear of the article as Ci, i-1, 2.
Step two, acquiring the dust amount on the surface of the article, and marking the dust amount on the surface of the article as Hi;
step three, acquiring the article transportation time length, and marking the article transportation time length as Si;
step four, passing through a formula
Acquiring state coefficients Xi of the articles, wherein c1, c2 and c3 are all preset proportionality coefficients, and c1 is larger than c2 and c3 is larger than 0;
step five, comparing the state coefficients Xi with L1 and L2, wherein L1 and L2 are both state coefficient thresholds, and L1 is more than L2:
if the state coefficient Xi is more than or equal to L1, judging that the article is in good state, generating a good state signal and marking the good state signal as a good state article;
if the state coefficient Xi is less than or equal to L2 and less than L1, the article is judged to be in a normal state, a normal state signal is generated and marked as a normal state article, and meanwhile, a warning signal is generated and sent to the mobile phone terminal of the transport staff;
and if the state coefficient Xi is less than L2, judging the state difference of the article, generating a state difference signal, marking the state difference signal as a state difference article, simultaneously generating an indemnity signal, and sending the indemnity signal and the state difference article to the mobile phone terminal of the transport personnel.
Further, the security management unit is configured to perform security management on login of a manager, where the security management specifically includes:
t1: the method comprises the steps of obtaining the opening time and the closing time of a warehouse, setting the period as a working time period, obtaining the login time of a manager, generating an access prohibition signal and sending the access prohibition signal to a mobile phone terminal of the manager if the login time is not in the working time period, and requiring two managers to simultaneously send request instructions to a cloud computing server through the mobile phone terminals and store the times of sending the request instructions and the corresponding managers if the login is carried out outside the working time period;
t2: when a manager accesses the cloud computing server through a login account, a network access address of the manager is obtained through the Internet, the position of a mobile phone signal of the manager is obtained, if the distance between the network access address and the position of the mobile phone signal of the manager is larger than a distance threshold, login abnormity is judged, a temporary prohibition signal is generated and sent to a mobile phone terminal of the manager, if the distance between the network access address and the position of the mobile phone signal of the manager is smaller than or equal to the distance threshold, login normality is judged, a login permission signal is generated and the login permission signal is sent to the mobile phone terminal of the manager.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the articles are counted and stored through the storage counting unit, the warehouse is divided into areas and sorted according to the area types, the area types comprise a high-activity area and a low-activity area, the article activity is analyzed, and the articles are reasonably matched with each area; acquiring the number of times of use, the frequency of use and the total number of articles of the article, acquiring the activity coefficient HYi of the article through a formula, and if the activity coefficient HYi of the article is more than or equal to the activity coefficient threshold value, marking the article as a highly active article and placing the highly active article in a highly active area; if the activity coefficient HYi of the item is less than the activity coefficient threshold value, marking the item as a low-activity item and putting the low-activity item into a low-activity area; the method comprises the steps of obtaining the staying time of goods taking personnel in each area in front of a shelf, and arranging the goods in each area according to the sequence of the staying time from high to low; the stored articles are divided, so that the articles are effectively and reasonably stored, and the working intensity of managers is reduced;
2. according to the method, a safety management unit is used for carrying out safety management on login of management personnel, the opening time and the closing time of a warehouse are obtained, the period is set as a working time period, the login time of the management personnel is obtained, if the login time is not in the working time period, an access prohibition signal is generated and sent to a mobile phone terminal of the management personnel, if the login is carried out outside the working time period, two management personnel need to simultaneously send request instructions to a cloud computing server through the mobile phone terminal, and the number of times of sending the request instructions and the number of times of storing the corresponding management personnel are sent to the cloud computing server; when a manager accesses the cloud computing server through a login account, a network access address of the manager is obtained through the Internet, the position of a mobile phone signal of the manager is obtained at the same time, if the distance between the network access address and the position of the mobile phone signal of the manager is larger than a distance threshold, login abnormity is judged, a temporary prohibition signal is generated, and the temporary prohibition signal is sent to a mobile phone terminal of the manager; through the detection of login of the management personnel, the safety of the server is improved, and the risk of stealing articles is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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, an intelligent warehousing system includes a cloud computing server, a detection unit, a storage statistics unit, a security management unit, a registration unit and a database;
the registration login unit is used for submitting manager data and carrier data for registration by managers and carriers through mobile phone terminals, sending the manager data and the carrier data which are successfully registered to a database for storage, and sending the manager data and the carrier data which are successfully registered to the cloud computing server, the cloud computing server generates a manager account and a carrier account after receiving the manager account and the carrier account and sends the manager account and the carrier account to the mobile phone terminals of the managers and the carriers, the manager data comprise names, ages, working hours and mobile phone numbers of real name authentication of the managers, and the carrier data comprise names, ages, major disease histories and mobile phone numbers of real name authentication of the carriers;
the detection unit is used for analyzing the state information of the article so as to detect the article, the state information of the article comprises the number of times that the article is locally worn, the amount of dust on the surface of the article and the transportation duration of the article, and the specific analysis and detection process is as follows:
the method comprises the steps of firstly, acquiring the number of times of partial wear of an article, and marking the number of times of partial wear of the article as Ci, i-1, 2.
Step two, acquiring the dust amount on the surface of the article, and marking the dust amount on the surface of the article as Hi;
step three, acquiring the article transportation time length, and marking the article transportation time length as Si;
step four, passing through a formula
Acquiring state coefficients Xi of the articles, wherein c1, c2 and c3 are all preset proportionality coefficients, and c1 is larger than c2 and c3 is larger than 0;
step five, comparing the state coefficients Xi with L1 and L2, wherein L1 and L2 are both state coefficient thresholds, and L1 is more than L2:
if the state coefficient Xi is more than or equal to L1, judging that the article is in good state, generating a good state signal and marking the good state signal as a good state article;
if the state coefficient Xi is less than or equal to L2 and less than L1, the article is judged to be in a normal state, a normal state signal is generated and marked as a normal state article, and meanwhile, a warning signal is generated and sent to the mobile phone terminal of the transport staff;
if the state coefficient Xi is less than L2, the article state difference is judged, a state difference signal is generated and marked as a state difference article, and meanwhile, an indemnification signal is generated and sent to the mobile phone terminal of the transport personnel;
the storage statistical unit is used for counting and storing the articles, and the specific statistical storage analysis is as follows:
s1: the method comprises the steps of dividing a warehouse into areas and sorting the areas according to area types, wherein the area types comprise a high-activity area and a low-activity area;
s2: analyzing the activity of the article, and reasonably matching the article with each region:
s21: acquiring the use times, the use frequency and the total quantity of the articles, and correspondingly marking the articles as CSi, PLi and SLi in sequence;
s22: acquiring an activity coefficient HYi of the article by using a formula HYi ═ β (CSi × b1+ PLi × b2+ SLi × b3), wherein b1, b2 and b3 are preset proportionality coefficients, b1 is greater than b2 is greater than b3 is greater than 0, β is an error correction factor, and a value is 2.0365987;
s23: comparing the activity coefficient HYi of the item to an activity coefficient threshold: if the activity coefficient HYi of the item is more than or equal to the activity coefficient threshold value, marking the item as a highly active item and placing the highly active item in a highly active area; if the activity coefficient HYi of the item is less than the activity coefficient threshold value, marking the item as a low-activity item and putting the low-activity item into a low-activity area;
s3: the method comprises the steps of obtaining the stay time of goods taking personnel in each area in front of a shelf, marking the stay time of goods as SJi, arranging the goods in each area from high to low according to the stay time SJi, and sending the arranged goods to a cloud computing server for storage;
the safety management unit is used for carrying out safety management on login of management personnel, and the specific safety management is as follows:
t1: the method comprises the steps of obtaining the opening time and the closing time of a warehouse, setting the period as a working time period, obtaining the login time of a manager, generating an access prohibition signal and sending the access prohibition signal to a mobile phone terminal of the manager if the login time is not in the working time period, and requiring two managers to simultaneously send request instructions to a cloud computing server through the mobile phone terminals and store the times of sending the request instructions and the corresponding managers if the login is carried out outside the working time period;
t2: when a manager accesses the cloud computing server through a login account, a network access address of the manager is obtained through the Internet, the position of a mobile phone signal of the manager is obtained, if the distance between the network access address and the position of the mobile phone signal of the manager is larger than a distance threshold, login abnormity is judged, a temporary prohibition signal is generated and sent to a mobile phone terminal of the manager, if the distance between the network access address and the position of the mobile phone signal of the manager is smaller than or equal to the distance threshold, login normality is judged, a login permission signal is generated and the login permission signal is sent to the mobile phone terminal of the manager.
The working principle of the invention is as follows: the utility model provides an intelligent warehousing system, at the during operation, makes statistics of and saves article through storage statistical unit, carries out regional division with the warehouse to sort according to regional type, regional type includes high active district and low active district, carries out the analysis to the article activeness, carries out reasonable matching with article and each region: acquiring the use times, the use frequency and the total quantity of the articles, and correspondingly marking the articles as CSi, PLi and SLi in sequence; acquiring an activity coefficient HYi of the article by using a formula HYi ═ β (CSi × b1+ PLi × b2+ SLi × b3), wherein b1, b2 and b3 are preset proportionality coefficients, b1 is greater than b2 is greater than b3 is greater than 0, β is an error correction factor, and a value is 2.0365987; comparing the activity coefficient HYi of the item to an activity coefficient threshold: if the activity coefficient HYi of the item is more than or equal to the activity coefficient threshold value, marking the item as a highly active item and placing the highly active item in a highly active area; if the activity coefficient HYi of the item is less than the activity coefficient threshold value, marking the item as a low-activity item and putting the low-activity item into a low-activity area; the method comprises the steps of obtaining the stay time of goods taking personnel in each area in front of a shelf, marking the stay time of goods as SJi, arranging the goods in each area from high to low according to the stay time SJi, and sending the arranged goods to a cloud computing server for storage.
The above formulas are all quantitative calculation, the formula is a formula obtained by acquiring a large amount of data and performing software simulation to obtain the latest real situation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. An intelligent warehousing system is characterized by comprising a cloud computing server, a detection unit, a storage statistical unit, a safety management unit, a registration unit and a database;
the storage statistical unit is used for counting and storing the articles, and the specific statistical storage analysis is as follows:
s1: the method comprises the steps of dividing a warehouse into areas and sorting the areas according to area types, wherein the area types comprise a high-activity area and a low-activity area;
s2: analyzing the activity of the article, and reasonably matching the article with each region:
s21: acquiring the use times, the use frequency and the total quantity of the articles, and correspondingly marking the articles as CSi, PLi and SLi in sequence;
s22: acquiring an activity coefficient HYi of the article by using a formula HYi ═ β (CSi × b1+ PLi × b2+ SLi × b3), wherein b1, b2 and b3 are preset proportionality coefficients, b1 is greater than b2 is greater than b3 is greater than 0, β is an error correction factor, and a value is 2.0365987;
s23: comparing the activity coefficient HYi of the item to an activity coefficient threshold: if the activity coefficient HYi of the item is more than or equal to the activity coefficient threshold value, marking the item as a highly active item and placing the highly active item in a highly active area; if the activity coefficient HYi of the item is less than the activity coefficient threshold value, marking the item as a low-activity item and putting the low-activity item into a low-activity area;
s3: the method comprises the steps of obtaining the stay time of goods taking personnel in each area in front of a shelf, marking the stay time of goods as SJi, arranging the goods in each area from high to low according to the stay time SJi, and sending the arranged goods to a cloud computing server for storage.
2. The intelligent warehousing system of claim 1, wherein the registration login unit is used for managers and transporters to submit manager data and transporter data for registration through mobile phone terminals, and the successfully registered manager data and the successfully registered transportation personnel data are sent to a database for storage, and meanwhile, the manager data and the carrier data which are successfully registered are sent to a cloud computing server, the cloud computing server generates a manager account and a carrier account after receiving the manager account and the carrier account and sends the manager account and the carrier account to mobile phone terminals of managers and carriers, the manager data comprises names, ages, working hours and mobile phone numbers of real-name authentication of the managers, and the carrier data comprises names, ages, major disease histories and mobile phone numbers of real-name authentication of the carriers.
3. The intelligent warehousing system of claim 1, wherein the detection unit is configured to analyze status information of the articles, so as to detect the articles, the status information of the articles includes the number of times the articles are partially worn, the amount of dust on the surfaces of the articles, and the transportation duration of the articles, and the specific analysis and detection process is as follows:
the method comprises the steps of firstly, acquiring the number of times of partial wear of an article, and marking the number of times of partial wear of the article as Ci, i-1, 2.
Step two, acquiring the dust amount on the surface of the article, and marking the dust amount on the surface of the article as Hi;
step three, acquiring the article transportation time length, and marking the article transportation time length as Si;
step four, passing through a formula
Acquiring state coefficients Xi of the articles, wherein c1, c2 and c3 are all preset proportionality coefficients, and c1 is larger than c2 and c3 is larger than 0;
step five, comparing the state coefficients Xi with L1 and L2, wherein L1 and L2 are both state coefficient thresholds, and L1 is more than L2:
if the state coefficient Xi is more than or equal to L1, judging that the article is in good state, generating a good state signal and marking the good state signal as a good state article;
if the state coefficient Xi is less than or equal to L2 and less than L1, the article is judged to be in a normal state, a normal state signal is generated and marked as a normal state article, and meanwhile, a warning signal is generated and sent to the mobile phone terminal of the transport staff;
and if the state coefficient Xi is less than L2, judging the state difference of the article, generating a state difference signal, marking the state difference signal as a state difference article, simultaneously generating an indemnity signal, and sending the indemnity signal and the state difference article to the mobile phone terminal of the transport personnel.
4. The intelligent warehousing system of claim 1, wherein the security management unit is configured to perform security management on login of management personnel, and the security management specifically comprises:
t1: the method comprises the steps of obtaining the opening time and the closing time of a warehouse, setting the period as a working time period, obtaining the login time of a manager, generating an access prohibition signal and sending the access prohibition signal to a mobile phone terminal of the manager if the login time is not in the working time period, and requiring two managers to simultaneously send request instructions to a cloud computing server through the mobile phone terminals and store the times of sending the request instructions and the corresponding managers if the login is carried out outside the working time period;
t2: when a manager accesses the cloud computing server through a login account, a network access address of the manager is obtained through the Internet, the position of a mobile phone signal of the manager is obtained, if the distance between the network access address and the position of the mobile phone signal of the manager is larger than a distance threshold, login abnormity is judged, a temporary prohibition signal is generated and sent to a mobile phone terminal of the manager, if the distance between the network access address and the position of the mobile phone signal of the manager is smaller than or equal to the distance threshold, login normality is judged, a login permission signal is generated and the login permission signal is sent to the mobile phone terminal of the manager.
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| CN202011157070.XA CN112215556A (en) | 2020-10-26 | 2020-10-26 | Intelligent warehousing system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113554404A (en) * | 2021-05-31 | 2021-10-26 | 郭金卫 | Intelligent management system for construction of literary journey based on big data |
| CN115456437A (en) * | 2022-09-22 | 2022-12-09 | 山东开正信息产业有限公司 | Logistics storage cabinet scheduling management and control system |
| CN116573325A (en) * | 2023-06-15 | 2023-08-11 | 广州中联环宇现代物流有限公司 | Intelligent storage grabbing robot, intelligent storage application method and warehouse management system |
-
2020
- 2020-10-26 CN CN202011157070.XA patent/CN112215556A/en not_active Withdrawn
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113554404A (en) * | 2021-05-31 | 2021-10-26 | 郭金卫 | Intelligent management system for construction of literary journey based on big data |
| CN115456437A (en) * | 2022-09-22 | 2022-12-09 | 山东开正信息产业有限公司 | Logistics storage cabinet scheduling management and control system |
| CN115456437B (en) * | 2022-09-22 | 2023-08-11 | 山东开正信息产业有限公司 | Logistics storage cabinet dispatching management and control system |
| CN116573325A (en) * | 2023-06-15 | 2023-08-11 | 广州中联环宇现代物流有限公司 | Intelligent storage grabbing robot, intelligent storage application method and warehouse management system |
| CN116573325B (en) * | 2023-06-15 | 2024-01-09 | 广州中联环宇现代物流有限公司 | Intelligent storage grabbing robot, intelligent storage application method and warehouse management system |
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Application publication date: 20210112 |