CN112293978A - Digital management system using big data - Google Patents
Digital management system using big data Download PDFInfo
- Publication number
- CN112293978A CN112293978A CN202011194442.6A CN202011194442A CN112293978A CN 112293978 A CN112293978 A CN 112293978A CN 202011194442 A CN202011194442 A CN 202011194442A CN 112293978 A CN112293978 A CN 112293978A
- Authority
- CN
- China
- Prior art keywords
- goods
- data
- source
- module
- management
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000007726 management method Methods 0.000 claims abstract description 89
- 230000002159 abnormal effect Effects 0.000 claims abstract description 13
- 238000005303 weighing Methods 0.000 claims description 39
- 238000000605 extraction Methods 0.000 claims description 25
- 238000013075 data extraction Methods 0.000 claims description 20
- 238000001514 detection method Methods 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000004891 communication Methods 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 238000010606 normalization Methods 0.000 claims description 7
- 238000005192 partition Methods 0.000 claims description 6
- 230000002457 bidirectional effect Effects 0.000 abstract description 8
- 238000010586 diagram Methods 0.000 description 6
- 239000000284 extract Substances 0.000 description 4
- 230000001360 synchronised effect Effects 0.000 description 4
- 238000005259 measurement Methods 0.000 description 2
- 238000012384 transportation and delivery Methods 0.000 description 2
- 239000002699 waste material Substances 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B81/00—Cabinets or racks specially adapted for other particular purposes, e.g. for storing guns or skis
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B97/00—Furniture or accessories for furniture, not provided for in other groups of this subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L69/00—Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
- H04L69/26—Special purpose or proprietary protocols or architectures
-
- A—HUMAN NECESSITIES
- A47—FURNITURE; DOMESTIC ARTICLES OR APPLIANCES; COFFEE MILLS; SPICE MILLS; SUCTION CLEANERS IN GENERAL
- A47B—TABLES; DESKS; OFFICE FURNITURE; CABINETS; DRAWERS; GENERAL DETAILS OF FURNITURE
- A47B2220/00—General furniture construction, e.g. fittings
- A47B2220/0091—Electronic or electric devices
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Computer Networks & Wireless Communication (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Computer Security & Cryptography (AREA)
- Computing Systems (AREA)
- Signal Processing (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Strategic Management (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
Abstract
The invention relates to the technical field of digital management, in particular to a digital management system utilizing big data, which comprises a goods station management center, a comprehensive data management center and a goods source station management center, wherein the comprehensive data management center is kept to be synchronously connected with the goods station management center and the goods source station management center in a bidirectional way through a bidirectional intelligent IO-Link protocol, a supplier sends information such as the type and the weight of sent goods to the comprehensive data management center through the goods source station management center for storage, and after receiving the goods, a worker at the goods station can automatically compare the received goods through the goods station management center to realize the intelligent connection of two ends of goods receiving and dispatching, thereby facilitating the digital management of the goods, reminding abnormal goods states in time, realizing the one-to-one correspondence of the goods at the two ends of goods receiving and dispatching, preventing the goods from being out of edition alignment, and automatically metering and comparing through the system, need not the manual work and checks goods one by one, labour saving and time saving.
Description
Technical Field
The invention relates to the technical field of digital management, in particular to a digital management system utilizing big data.
Background
In the goods receiving and dispatching in-process, only lean on the weighing system of commodity circulation to check the weight of article the accuracy relatively poor, so when the goods reachs the goods station, in order to prevent that the goods from not checking the version, can carry out the secondary by goods station staff to the goods of actually receiving mostly and check, current secondary check mode all uses the instrument of weighing to check the goods one by goods station staff, and is inefficient, and waste time and energy, greatly increase goods station staff's work load, the practicality is not good.
Disclosure of Invention
The invention aims to provide a digital management system utilizing big data, which has the advantages of conveniently carrying out digital management on goods, realizing the one-by-one correspondence of the goods at the two ends of the goods receiving and dispatching, timely reminding the abnormal goods state, preventing the goods from being out of register, automatically metering and comparing through the system, not needing to manually check the goods one by one, saving time and labor, solving the problems that the staff of a goods station provided in the background technology uses a weighing tool to check the goods one by one, has low efficiency, wastes time and labor, greatly increases the workload of the staff of the goods station and has poor practicability.
In order to achieve the purpose, the invention provides the following technical scheme: a digital management system utilizing big data comprises a goods station management center, a comprehensive data management center and a goods source station management center, wherein the goods station management center keeps communication with the comprehensive data management center through an intelligent IO-Link protocol, and the comprehensive data management center keeps communication with the goods source station management center through the intelligent IO-Link protocol;
the goods station management center consists of a goods shelf mechanism and a goods management subsystem, the goods shelf mechanism comprises a goods outer frame, clapboards, goods type goods frames, weighing sensors and a goods station management client, the goods outer frame is set as a multi-layer frame component, two clapboards are arranged in each layer of the goods outer frame at equal intervals, the internal space of each layer of the goods outer frame is divided into three inner cavities by the two clapboards, the weighing sensors protruding upwards are arranged on the bottom surfaces of the inner cavities, the top surfaces of the weighing sensors are in contact with the bottom surfaces of the goods outer frame, the weighing sensors are connected with the goods station management client, and the weighing sensors are connected with the goods management subsystem;
the goods management subsystem comprises a timing driving module, a goods data acquisition module, a goods data receiving module, a goods data processing module, a goods data output module and a goods subsystem branch control center, the timing driving module and the goods data acquisition module are connected with a weighing sensor, the goods data acquisition module transmits collected goods data to the goods data processing module in real time, the goods data processing module is connected with the goods subsystem branch control center, the goods data receiving module and the goods data output module are connected with the goods subsystem branch control center through JAVA message service, and the goods subsystem branch control center is communicated with the comprehensive data management center through an intelligent IO-Link protocol.
Preferably, the source station management center consists of a source station management client and a source management subsystem, the source management subsystem comprises a source type sorting module, a source data input module, a source data output module, a source data processing module and a source subsystem sub-control center, the source type sorting module, the source data input module and the source data processing module are all connected with the source subsystem sub-control center, and the source subsystem sub-control center sends source data information to the comprehensive data management center through the source data output module.
Preferably, synthesize the data management center and include data acquisition module, the collection result draws the module, data processing module, big data center and information output module are connected, data acquisition module is connected with a plurality of goods management subsystems and goods source management subsystem, data acquisition module includes goods source article type acquisition unit, goods source gross weight acquisition unit, goods article type acquisition unit, goods gross weight acquisition unit and normalization processing unit, goods source article type acquisition unit and goods source gross weight acquisition unit are connected with goods source management subsystem, goods article type acquisition unit and goods gross weight acquisition unit are connected with goods management subsystem, normalization processing unit is connected with big data center.
Preferably, the collection result extraction module is connected with the big data center, and the collection result extraction module comprises a goods source data extraction unit, a goods data extraction unit, a detection time extraction unit and a detection time interval extraction unit, wherein the goods source data extraction unit is connected with the goods source data output module, and the goods data output module is connected with the goods data extraction unit, the detection time extraction unit and the detection time interval extraction unit.
Preferably, the data processing module is connected with a big data center, the data processing module comprises a goods peak data acquisition unit, a goods valley data acquisition unit, a daily goods amount calculation unit, an average goods data calculation unit and a goods weight comparison unit, and the goods weight comparison unit is connected with the goods source data extraction unit and the goods data extraction unit.
Preferably, the goods weight comparison unit needs to set an error threshold range before operation, and the goods weight comparison method comprises the steps of calibration of the goods source weight, calibration of the goods weight and comparison calculation;
the method comprises the steps of calibrating the weight of a goods source, weighing the weight of goods in a goods source station through a weighing machine, and recording the weight as A, A … An;
the weight of goods is calibrated, the weight of the goods arriving at a goods station through a weighing sensor is weighed and is recorded as B, B … Bn;
comparing and calculating, subtracting A, A … An from B, B … Bn respectively, if the absolute value of the obtained difference is within the preset error threshold range, indicating that the goods are in a normal quality state, and the information output module does not output information to the goods station management client, and if the absolute value of the obtained difference is not within the preset error threshold range, indicating that the goods are in An abnormal quality state, and the information output module outputs information to the goods station management client to remind a goods station manager that the goods are in An abnormal state.
The digital management system utilizing big data provided by the invention has the beneficial effects that:
this utilize digital management system of big data, keep synthesizing data management center and goods station management center and the two-way synchronous connection of goods source station management center through two-way intelligent IO-Link agreement, accessible goods station management center carries out automatic comparison to the goods that receive after goods station staff received the goods, realize the intelligent connection at receiving and dispatching goods both ends, conveniently carry out digital management to the goods, compare this delivery goods data with real goods data, and in time remind unusual goods state, realize corresponding one by one of goods at receiving and dispatching goods both ends, prevent the goods and do not contrast the version, through system automatic measurement and contrast, need not artifically to check goods one by one, time saving and labor saving.
Drawings
Fig. 1 is a schematic diagram illustrating an overall structure of a digital management system using big data according to the present invention;
FIG. 2 is a schematic diagram of a shelf mechanism of a digital management system using big data according to the present invention;
FIG. 3 is a schematic view of a load cell mounting location of a digital management system using big data according to the present invention;
FIG. 4 is a schematic diagram of the goods management subsystem of a digital management system using big data according to the present invention;
FIG. 5 is a schematic diagram of the cargo management subsystem of the digital management system using big data according to the present invention;
FIG. 6 is a schematic diagram of an integrated data management center of a digital management system using big data according to the present invention;
fig. 7 is a schematic diagram illustrating a comparative principle of a digital management system using big data according to the present invention.
In the figure: 1. a goods station management center; 11. a shelf mechanism; 111. an outer frame of the goods; 112. a partition plate; 113. a goods frame; 114. a weighing sensor; 115. a goods station management client; 12. a goods management subsystem; 121. a timing driving module; 122. a goods data acquisition module; 123. a goods data receiving module; 124. a goods data processing module; 125. a goods data output module; 126. a goods subsystem sub-control center; 2. a comprehensive data management center; 21. a data acquisition module; 211. a goods source article collection unit; 212. a total weight collecting unit of the goods source; 213. a goods category acquisition unit; 214. a total goods weight collecting unit; 215. a normalization processing unit; 22. an acquisition result extraction module; 221. a goods source data extraction unit; 222. a goods data extraction unit; 223. a detection number extraction unit; 224. a detection time interval extraction unit; 23. a data processing module; 231. a goods peak data acquisition unit; 232. a goods low-grain data acquisition unit; 233. a daily goods amount calculating unit; 234. an average goods data calculation unit; 235. an article weight comparing unit; 24. a big data center; 25. an information output module; 3. a source station management center; 31. a source station management client; 32. a source management subsystem; 321. a goods source type sorting module; 322. a goods source data input module; 323. a goods source data output module; 324. a goods source data processing module; 325. and the cargo source subsystem sub-control center.
Detailed Description
The technical scheme in the embodiment of the invention will be made clear below by combining the attached drawings in the embodiment of the invention; fully described, it is to be understood that the described embodiments are merely exemplary of some, but not all, embodiments of the invention and that all other embodiments, which can be derived by one of ordinary skill in the art based on the described embodiments without inventive faculty, are within the scope of the invention.
Referring to fig. 1, a digital management system using big data, the digital management system includes a goods station management center 1, a comprehensive data management center 2 and a goods source station management center 3, the goods station management center 1 maintains communication with the comprehensive data management center 2 through an intelligent IO-Link protocol, the comprehensive data management center 2 maintains communication with the goods source station management center 3 through the intelligent IO-Link protocol, the comprehensive data management center 2 maintains bidirectional synchronous connection with the goods station management center 1 and the goods source station management center 3 through a bidirectional intelligent IO-Link protocol, a supplier sends information such as a type and a weight of a sent goods to the comprehensive data management center 2 through the goods source station management center 3 for storage, a worker of the goods station can automatically compare the received goods through the goods station management center 1 after receiving the goods, and realize intelligent connection of both ends of the goods receiving and sending, the digital management of goods is convenient.
The goods station management center 1 is composed of a shelf mechanism 11 and a goods management subsystem 12.
Referring to fig. 2-3, the shelf mechanism 11 includes an article outer frame 111, partitions 112, article type goods frames 113, weighing sensors 114, and an article station management client 115, the article outer frame 111 is configured as a multi-layer frame member, two partitions 112 are equally spaced inside each layer of the article outer frame 111, the two partitions 112 divide the internal space of each layer of the article outer frame 111 into three inner cavities, the weighing sensors 114 protruding upward are installed on the bottom surfaces of the inner cavities, the top surfaces of the weighing sensors 114 contact the bottom surface of the article outer frame 111, the weighing sensors 114 are connected to the article station management client 115, the weighing sensors 114 are connected to the article management subsystem 12, the article station worker places the received goods in the corresponding article type goods frames 113 by type, the weighing sensors 114 weigh the weight of the goods in each article type goods frame 113, and transmit the weighed result to the article management subsystem 12, the goods of one kind are stored in each kind goods frame 113, and once a large weight deviation occurs to a certain goods, the position of the goods can be quickly positioned by the staff according to the kind of the goods, so that the goods of the goods station can be conveniently managed.
Referring to fig. 4, the goods management subsystem 12 includes a timing driving module 121, a goods data collecting module 122, a goods data receiving module 123, a goods data processing module 124, a goods data output module 125 and a goods subsystem branch control center 126, wherein the timing driving module 121 and the goods data collecting module 122 are connected to the weighing sensor 114, the goods data collecting module 122 transmits the collected goods data to the goods data processing module 124 in real time, the goods data processing module 124 is connected to the goods subsystem branch control center 126, the goods data receiving module 123 and the goods data output module 125 are connected to the goods subsystem branch control center 126 through JAVA message service, the goods subsystem branch control center 126 maintains communication with the integrated data management center 2 through an intelligent IO-Link protocol, the goods data receiving module 123 is used for receiving the weight of goods in each goods class frame 113 sent by the weighing sensor 114, the weighing function of the weighing sensor 114 is triggered regularly by the timing driving module 121, when data received by the goods data receiving module 123 is kept unchanged for a long time, it indicates that the goods loading of the staff in the goods station is finished, the goods data collecting module 122 sends the weight of goods in each goods frame 113 to the goods data processing module 124, the goods data processing module 124 subtracts the weight of the goods frame 113 from the received weight data, the obtained data is the real weight of the goods in the goods station, the real weight data of the goods in the goods station is sent to the goods subsystem sub-control center 126 through the goods data output module 125, and the goods subsystem sub-control center 126 feeds the obtained data back to the comprehensive data management center 2.
Referring to fig. 5, the source station management center 3 is composed of a source station management client 31 and a source management subsystem 32, the source management subsystem 32 includes a source type sorting module 321, a source data input module 322, a source data output module 323, a source data processing module 324 and a source subsystem sub-control center 325, the source type sorting module 321, the source data input module 322 and the source data processing module 324 are all connected to the source subsystem sub-control center 325, the source subsystem sub-control center 325 sends source data information to the integrated data management center 2 through the source data output module 323, a supplier enters the source management subsystem 32 through the source station management client 31, records the input types and weights of individual goods through the source type sorting module 321 and the source data input module 322, counts the total weight of the sorted goods through the source data processing module 324, the classified and counted weight of the goods is sent to the sub-control center 325 of the goods source subsystem for storage through the data output module 323 of the goods source, and the sub-control center 325 of the goods source subsystem feeds back the obtained data to the comprehensive data management center 2.
Referring to fig. 6, the integrated data management center 2 includes a data acquisition module 21, an acquisition result extraction module 22, a data processing module 23, a big data center 24 and an information output module 25, the big data center 24 is connected to the information output module 25, the data acquisition module 21 is connected to a plurality of goods management subsystems 12 and a goods source management subsystem 32, the data acquisition module 21 includes a goods source type acquisition unit 211, a goods source gross weight acquisition unit 212, a goods type acquisition unit 213, a goods gross weight acquisition unit 214 and a normalization processing unit 215, the goods source type acquisition unit 211 and the goods source gross weight acquisition unit 212 are connected to the goods source management subsystem 32, the goods type acquisition unit 213 and the goods gross weight acquisition unit 214 are connected to the goods management subsystem 12, and the normalization processing unit 215 is connected to the big data center 24.
The acquisition result extraction module 22 is connected with the big data center 24, the acquisition result extraction module 22 includes a goods source data extraction unit 221, a goods data extraction unit 222, a detection times extraction unit 223 and a detection time interval extraction unit 224, the goods source data extraction unit 221 is connected with a goods source data output module 323, and the goods data output module 125 is connected with the goods data extraction unit 222, the detection times extraction unit 223 and the detection time interval extraction unit 224.
The data processing module 23 is connected with the big data center 24, the data processing module 23 comprises an article peak data acquisition unit 231, an article valley data acquisition unit 232, a daily article quantity calculation unit 233, an average article data calculation unit 234 and an article weight comparison unit 235, the article weight comparison unit 235 is connected with the article source data extraction unit 221 and the article data extraction unit 222, the data acquisition module 21 is used for receiving data from the article subsystem branch control center 126 and the article source subsystem branch control center 325 and sending the acquired corresponding data of the article source type, the article source gross weight, the article type, the article gross weight and the like to the big data center 24, the acquisition result extraction module 22 extracts the acquired article source data and the article data from the big data center 24, extracts the detection times and the detection time interval data of the article data, and processes the acquired data by the data processing module 23, the goods peak data, the goods valley data, the daily goods amount and the average goods data are calculated, the calculated data are fed back to the big data center 24, and the information output module feeds back the calculated information to the goods station management client 115 for display.
Referring to fig. 7, the goods weight comparing unit 235 needs to set an error threshold range before operation, and the goods weight comparing method includes calibration of the source weight, calibration of the goods weight, and comparison calculation;
weighing the weight of goods at the goods source station through a weighing machine, and recording the weight as A1 and A2 … An; the weight of the goods arriving at the goods station by the load cell 114 is weighed and is designated as B1, B2 … Bn; respectively subtracting A1 and A2 … An from B1 and B2 … Bn, if the absolute value of the difference is within the preset error threshold range, it indicates that the goods are in a normal quality state, the information output module 25 does not output information to the goods station management client 115, and if the absolute value of the obtained difference is not within the preset error threshold range, it indicates that the goods are in an abnormal quality state, the information output module 25 outputs information to the goods station management client 115 to remind the goods station administrator that the goods are in an abnormal state, the calculation method can compare the data of the goods to be delivered with the data of the goods to be received and remind the abnormal goods state in time, realizes the one-by-one correspondence of the goods at the two ends of the goods to be delivered and the goods to be received, prevents the goods from being not registered, through automatic measurement and contrast of the system, the goods do not need to be checked one by one manually, and time and labor are saved.
The working principle is as follows: the bidirectional synchronous connection between the comprehensive data management center 2 and the goods station management center 1 and the goods source station management center 3 is maintained through a bidirectional intelligent IO-Link protocol, a supplier sends information such as the type and weight of sent goods to the comprehensive data management center 2 through the goods source station management center 3 for storage, a worker in the goods station can automatically compare the received goods through the goods station management center 1 after receiving the goods to realize the intelligent connection of the two ends of receiving and dispatching goods, the supplier enters the goods source management subsystem 32 through the goods source station management client terminal 31, the input goods type and the weight of single goods are recorded through the goods source type sorting module 321 and the goods source data input module 322, the total weight of the sorted goods is counted through the goods source data processing module 324, the weight of the sorted goods is sent to the goods source subsystem control center 325 through the goods source data output module 323 for storage, the sub-control center 325 of the goods source subsystem feeds back the obtained data to the comprehensive data management center 2, the staff in the goods station places the received goods in the corresponding goods frames 113 according to the categories, the weighing sensor 114 weighs the weight of the goods in each goods frame 113 and transmits the weighed result to the goods management subsystem 12, the goods data receiving module 123 is used for receiving the weight of the goods in each goods frame 113 sent by the weighing sensor 114 and triggers the weighing function of the weighing sensor 114 by the timing driving module 121 at regular time, when the data received by the goods data receiving module 123 is kept unchanged for a long time, the goods station staff finishes the goods delivery, the goods data collecting module 122 sends the weight of the goods in each goods frame 113 to the goods data processing module 124, the goods data processing module 124 subtracts the self weight of the goods frame 113 from the received weight data, the obtained data is the real weight of the goods in the goods station, the real weight data of the goods in the goods station is sent to the goods sub-control center 126 through the goods data output module 125, the obtained data is fed back to the comprehensive data management center 2 through the goods sub-control center 126, the data acquisition module 21 is used for receiving the data from the goods sub-control center 126 and the goods sub-control center 325 and sending the corresponding data of the goods source goods type, the goods source total weight, the goods type and the goods total weight to the big data center 24, the acquisition result extraction module 22 extracts the goods source data and the goods data from the big data center 24 and extracts the detection times and the detection time interval data of the goods data, the data processing module 23 processes the acquired data to calculate the goods peak data, the goods low-valley data, the goods peak data and the goods peak data, The daily goods quantity and the average goods data are fed back to the big data center 24, the information output module feeds back the calculated information to the goods station management client terminal 115 for display, the weight of the goods source station is weighed by the weighing device and is recorded as A1 and A2 … An; the weight of the goods arriving at the goods station by the load cell 114 is weighed and is designated as B1, B2 … Bn; a1 and A2 … An are correspondingly subtracted from B1 and B2 … Bn respectively, if the absolute value of the obtained difference is within the preset error threshold range, the goods are in a normal quality state, the information output module 25 does not output information to the goods station management client side 115, if the absolute value of the obtained difference is not within the preset error threshold range, the goods are in An abnormal quality state, the information output module 25 outputs information to the goods station management client side 115 to remind a goods station manager that the goods are in the abnormal state, and the data of the goods to be delivered and the data of the goods to be actually received can be compared through the calculation mode, and the abnormal goods state can be reminded in time.
To sum up, the digital management system using big data keeps the bidirectional synchronous connection between the comprehensive data management center 2 and the goods station management center 1 and the goods source station management center 3 through the bidirectional intelligent IO-Link protocol, a supplier sends information such as the type and weight of goods sent out to the comprehensive data management center 2 through the goods source station management center 3 for storage, after receiving the goods, a worker at the goods station can automatically compare the received goods through the goods station management center 1, so as to realize the intelligent connection at the two ends of the goods in receiving and sending, so as to facilitate the digital management of the goods, compare the data of the goods sent out with the data of the goods received in real time, remind the abnormal goods state in time, realize the one-to-one correspondence of the goods at the two ends of the goods in receiving and sending, prevent the goods from being out of edition alignment, and do not need to manually check the goods one by one through the automatic metering and comparison of the system, time and labor are saved.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (6)
1. A digital management system utilizing big data is characterized by comprising a goods station management center (1), an integrated data management center (2) and a goods source station management center (3), wherein the goods station management center (1) keeps communication with the integrated data management center (2) through an intelligent IO-Link protocol, and the integrated data management center (2) keeps communication with the goods source station management center (3) through the intelligent IO-Link protocol; the goods station management center (1) consists of a goods shelf mechanism (11) and a goods management subsystem (12), the goods shelf mechanism (11) comprises a goods outer frame (111) and a clapboard (112), the goods management system comprises goods type goods frames (113), weighing sensors (114) and goods station management clients (115), wherein the goods outer frames (111) are arranged to be multilayer frame members, two partition plates (112) are arranged in each layer of the goods outer frame (111) at equal intervals, the internal space of each layer of the goods outer frame (111) is divided into three inner cavities by the two partition plates (112), the weighing sensors (114) protruding upwards are arranged on the bottom surfaces of the inner cavities, the top surfaces of the weighing sensors (114) are in contact with the bottom surfaces of the goods outer frames (111), the weighing sensors (114) are connected with the goods station management clients (115), and the weighing sensors (114) are connected with a goods management subsystem (12); the goods management subsystem (12) comprises a timing driving module (121), a goods data acquisition module (122), a goods data receiving module (123), a goods data processing module (124), a goods data output module (125) and a goods subsystem branch control center (126), the timing driving module (121) and the goods data acquisition module (122) are connected with the weighing sensor (114), the goods data acquisition module (122) transmits the collected goods data to the goods data processing module (124) in real time, the goods data processing module (124) is connected with the goods subsystem branch control center (126), the goods data receiving module (123) and the goods data output module (125) are connected with the goods subsystem branch control center (126) through JAVA message service, and the goods subsystem branch control center (126) keeps communication with the comprehensive data management center (2) through an intelligent IO-Link protocol.
2. A digital management system using big data according to claim 1, wherein: the goods source station management center (3) is composed of a goods source station management client (31) and a goods source management subsystem (32), the goods source management subsystem (32) comprises a goods source type sorting module (321), a goods source data input module (322), a goods source data output module (323), a goods source data processing module (324) and a goods source subsystem sub-control center (325), the goods source type sorting module (321), the goods source data input module (322) and the goods source data processing module (324) are all connected with the goods source subsystem sub-control center (325), and the goods source subsystem sub-control center (325) sends goods source data information to the comprehensive data management center (2) through the goods source data output module (323).
3. A digital management system using big data according to claim 1, wherein: the comprehensive data management center (2) comprises a data acquisition module (21), an acquisition result extraction module (22), a data processing module (23), a big data center (24) and an information output module (25), wherein the big data center (24) is connected with the information output module (25), the data acquisition module (21) is connected with a plurality of goods management subsystems (12) and goods source management subsystems (32), the data acquisition module (21) comprises a goods source type acquisition unit (211), a goods source gross weight acquisition unit (212), a goods type acquisition unit (213), a goods gross weight acquisition unit (214) and a normalization processing unit (215), the goods source type acquisition unit (211) and the goods source gross weight acquisition unit (212) are connected with the goods source management subsystems (32), and the goods type acquisition unit (213) and the goods gross weight acquisition unit (214) are connected with the goods management subsystems (12), the normalization processing unit (215) is connected with the big data center (24).
4. A digital management system using big data according to claim 3, wherein: the collection result extraction module (22) is connected with the big data center (24), the collection result extraction module (22) comprises a goods source data extraction unit (221), a goods data extraction unit (222), a detection time extraction unit (223) and a detection time interval extraction unit (224), the goods source data extraction unit (221) is connected with a goods source data output module (323), and the goods data output module (125) is connected with the goods data extraction unit (222), the detection time extraction unit (223) and the detection time interval extraction unit (224).
5. A digital management system using big data according to claim 3, wherein: the data processing module (23) is connected with the big data center (24), the data processing module (23) comprises a goods peak data acquisition unit (231), a goods valley data acquisition unit (232), a daily goods quantity calculation unit (233), an average goods data calculation unit (234) and a goods weight comparison unit (235), and the goods weight comparison unit (235) is connected with a goods source data extraction unit (221) and a goods data extraction unit (222).
6. A digital management system using big data according to claim 5, wherein: the goods weight comparison unit (235) needs to set an error threshold range before operation, and the goods weight comparison method comprises the steps of calibration of the weight of a goods source, calibration of the weight of goods and comparison calculation;
the method comprises the following steps of (1) calibrating the weight of a goods in a goods source station, weighing the goods by a weighing machine, and recording the goods as A1 and A2 … An;
the weight of goods is calibrated, the weight of the goods arriving at the goods station through the weighing sensor (114) is weighed and is marked as B1 and B2 … Bn;
and comparing and calculating, respectively and correspondingly subtracting A1 and A2 … An from B1 and B2 … Bn, if the absolute value of the obtained difference is within the preset error threshold range, indicating that the goods are in a normal quality state, not outputting information to the goods station management client (115) by the information output module (25), if the absolute value of the obtained difference is not within the preset error threshold range, indicating that the goods are in An abnormal quality state, and outputting information to the goods station management client (115) by the information output module (25) to remind a goods station manager that the goods are in An abnormal state.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011194442.6A CN112293978A (en) | 2020-10-30 | 2020-10-30 | Digital management system using big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011194442.6A CN112293978A (en) | 2020-10-30 | 2020-10-30 | Digital management system using big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112293978A true CN112293978A (en) | 2021-02-02 |
Family
ID=74334179
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011194442.6A Pending CN112293978A (en) | 2020-10-30 | 2020-10-30 | Digital management system using big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112293978A (en) |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100057592A1 (en) * | 2008-08-29 | 2010-03-04 | United Parcel Service Of America, Inc. | Systems and methods for freight tracking and monitoring |
| CN101718982A (en) * | 2009-11-23 | 2010-06-02 | 周巍 | System and method for integrally controlling loading, transportation and unloading |
| CN107454146A (en) * | 2017-07-05 | 2017-12-08 | 深圳市宏鑫源投资咨询有限公司 | A kind of platform scale periodically monitors the method and platform scale of goods weight |
| CN107679814A (en) * | 2017-11-06 | 2018-02-09 | 成都德旺云车邦信息技术有限公司 | The whole process control system and method for complete vehicle logistics transport |
| CN108609332A (en) * | 2018-04-08 | 2018-10-02 | 广州市海升信息科技有限责任公司 | A kind of intensive warehouse management system and method for woollen |
| CN108776878A (en) * | 2018-05-21 | 2018-11-09 | 湖北迪天信息科技有限公司 | A kind of logistics cloud big data information platform |
| CN109051487A (en) * | 2018-09-17 | 2018-12-21 | 北海华源电子有限公司 | Electronic product shelf intelligent management system |
| CN109543781A (en) * | 2018-10-25 | 2019-03-29 | 杭州高达软件系统股份有限公司 | The Internet of Things supervising platform of air control model is given as security based on goods |
| CN109685410A (en) * | 2018-11-16 | 2019-04-26 | 南京大学 | A kind of share-car method for light alveolitoid cargo transport |
| CN110516999A (en) * | 2019-08-19 | 2019-11-29 | 深圳市同济中基实业有限公司 | A kind of supply chain finance cargo management system based on block chain technology |
| CN110704701A (en) * | 2019-09-26 | 2020-01-17 | 广州市微嵌计算机科技有限公司 | Intelligent logistics warehouse goods weighing management method and system |
| CN110969396A (en) * | 2019-12-19 | 2020-04-07 | 广州快批信息科技有限公司 | Automatic order picking method and system |
| CN111832988A (en) * | 2020-07-03 | 2020-10-27 | 深圳爱巧网络有限公司 | Robot-based partition goods picking method, device, equipment and storage medium |
-
2020
- 2020-10-30 CN CN202011194442.6A patent/CN112293978A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100057592A1 (en) * | 2008-08-29 | 2010-03-04 | United Parcel Service Of America, Inc. | Systems and methods for freight tracking and monitoring |
| CN101718982A (en) * | 2009-11-23 | 2010-06-02 | 周巍 | System and method for integrally controlling loading, transportation and unloading |
| CN107454146A (en) * | 2017-07-05 | 2017-12-08 | 深圳市宏鑫源投资咨询有限公司 | A kind of platform scale periodically monitors the method and platform scale of goods weight |
| CN107679814A (en) * | 2017-11-06 | 2018-02-09 | 成都德旺云车邦信息技术有限公司 | The whole process control system and method for complete vehicle logistics transport |
| CN108609332A (en) * | 2018-04-08 | 2018-10-02 | 广州市海升信息科技有限责任公司 | A kind of intensive warehouse management system and method for woollen |
| CN108776878A (en) * | 2018-05-21 | 2018-11-09 | 湖北迪天信息科技有限公司 | A kind of logistics cloud big data information platform |
| CN109051487A (en) * | 2018-09-17 | 2018-12-21 | 北海华源电子有限公司 | Electronic product shelf intelligent management system |
| CN109543781A (en) * | 2018-10-25 | 2019-03-29 | 杭州高达软件系统股份有限公司 | The Internet of Things supervising platform of air control model is given as security based on goods |
| CN109685410A (en) * | 2018-11-16 | 2019-04-26 | 南京大学 | A kind of share-car method for light alveolitoid cargo transport |
| CN110516999A (en) * | 2019-08-19 | 2019-11-29 | 深圳市同济中基实业有限公司 | A kind of supply chain finance cargo management system based on block chain technology |
| CN110704701A (en) * | 2019-09-26 | 2020-01-17 | 广州市微嵌计算机科技有限公司 | Intelligent logistics warehouse goods weighing management method and system |
| CN110969396A (en) * | 2019-12-19 | 2020-04-07 | 广州快批信息科技有限公司 | Automatic order picking method and system |
| CN111832988A (en) * | 2020-07-03 | 2020-10-27 | 深圳爱巧网络有限公司 | Robot-based partition goods picking method, device, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US5541835A (en) | Monitoring and forecasting customer traffic | |
| CN107051889B (en) | A kind of big part packages method, apparatus and system | |
| CN106251108A (en) | A kind of leaflet intelligent warehousing system and management method | |
| CN107505873A (en) | A kind of intelligent material allocation cabinet and delivery system shown with quantity | |
| CN208780327U (en) | A kind of handling of goods and materials cabinet that multi-layer drawers concentrate weighing to count automatically | |
| CN106327119A (en) | Internet of Things-based pallet logistics management system | |
| CN109583806A (en) | A kind of vehicle scheduling pickup method and system based on after single weight under adjustment | |
| CN105631955A (en) | Express delivery receiving and sending intelligent method based on RFID | |
| JP7332196B2 (en) | Parts management cabinet for high-sensitivity centralized weighing and counting | |
| CN112215556A (en) | Intelligent warehousing system | |
| CN112293978A (en) | Digital management system using big data | |
| CN111754174A (en) | Method and terminal for displaying logistics state | |
| CN111401806A (en) | Automatic material information management system | |
| CN113589769B (en) | Fire extinguisher production line control system | |
| CN106454733A (en) | Online monitoring system based on wireless sensor network | |
| CN112531907B (en) | Intelligent monitoring system and method for power grid transformer area | |
| CN107505874B (en) | Control system of intelligent material distribution cabinet | |
| CN208860457U (en) | A kind of intelligent material management system of automatic counting statistics | |
| CN214454083U (en) | Unattended self-service warehouse system | |
| CN108983736B (en) | Postman attendance monitoring system and method based on cloud computing | |
| CN215045300U (en) | Intelligent goods inventory goods shelf based on gravity induction | |
| CN113554402A (en) | Network freight scheduling system | |
| CN106228309A (en) | A kind of system and method managing engine test data | |
| CN109377153B (en) | System and method for checking attendance of postman based on Internet of things | |
| CN209629387U (en) | A kind of letters of post box monitoring device based on wireless communication |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20210202 |