CN110673818B - Intelligent vertical type storage unit management method and system - Google Patents
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Abstract
The invention relates to the technical field of furniture logistics management, and discloses an intelligent vertical type storage unit management method.
Description
Technical Field
The invention relates to the technical field of furniture logistics management, in particular to a method and a system for managing an intelligent vertical storage unit.
Background
At present, the furniture industry gradually develops towards personalized customization and zero stock along with the change of times so as to improve the reaction speed of the market and reduce the operation cost.
The existing method is to orderly and intensively store the modular furniture modules through intelligent vertical storage, and the modular furniture modules are directly taken and delivered when receiving orders, so that the system is convenient and fast.
However, the vertical storage is inconvenient because the furniture is usually large in size and large in occupied area, so that the vertical storage is high in ratio for solving the problem, and the vertical storage is inconvenient because the vertical storage is difficult to accurately fetch and view the high furniture placed on the site of the warehouse.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a method and a system for managing an intelligent vertical storage unit, which have the advantage of facilitating on-site operation and command.
The above object of the present invention is achieved by the following technical solutions:
an intelligent vertical warehousing unit management method comprises the following steps:
s1: acquiring and analyzing a mark type instruction and a voice type instruction in real time;
the marking type instruction is associated with the number of the target storage unit, and the voice type instruction reflects an action instruction;
s2: if the marked instruction is successfully acquired and analyzed, displaying the stock state of the target warehousing unit, continuing to acquire the voice instruction, and prompting that the voice instruction is to be acquired, if the voice instruction is successfully acquired and analyzed in the next 3S, entering a step S4, and if the voice instruction is not successfully acquired and analyzed, entering a step S1;
s3: if the voice type instruction is successfully acquired and analyzed, continuing to acquire the mark type instruction and prompting the mark type instruction to be acquired, if the mark type instruction is successfully acquired and analyzed in the next 3S, entering a step S4, and if the mark type instruction is not successfully acquired and analyzed, entering a step S1;
s4: and executing the action represented by the action instruction on the goods in the target warehousing unit.
Through the technical scheme, the related target storage unit can be appointed through the mark type instruction firstly, then the voice type instruction is used for indicating the action, the voice type instruction is used for indicating the action firstly, then the target storage unit is appointed to execute the action, the remote command of a worker is facilitated, and the working efficiency is improved.
The invention is further configured to: in the step S1:
a laser receiver associated with the target storage unit acquires a laser signal in real time, and the voice recording and playing component acquires voice instruction information in real time;
when the laser receiver acquires the laser signal, the laser receiver sends the serial number of the target warehousing unit to a cloud server;
when the voice recording and playing component acquires the voice instruction information, the voice instruction information is sent to the cloud server, and the cloud server automatically calls a preset algorithm to analyze the voice instruction information to generate a control instruction.
Through above-mentioned technical scheme, laser signal can follow sharp remote propagation, through this kind of form as mark type instruction, can guarantee the staff equally and carry out remote command operation, promotes work efficiency.
The invention is further configured to: recording and counting the voice instruction information and the occurrence frequency of the control instruction through a counting module;
and carrying out voice similarity analysis on the newly received voice instruction information and the counted voice instruction information by a fuzzy matching module, and if the value obtained by the voice similarity analysis is greater than a preset similarity value and the counted frequency of the control instruction corresponding to the voice instruction information is greater than a preset occurrence value, not using the preset algorithm to analyze the newly received voice instruction information and directly outputting the counted control instruction corresponding to the voice instruction information.
Through the technical scheme, the statistical module can record the result of voice information analysis, and the fuzzy matching module can accelerate the speed of the result output of the cloud database and improve the efficiency of voice information processing.
The invention is further configured to: analyzing the newly received voice instruction information through the preset algorithm by a self-correcting module to obtain a new control instruction, and counting errors once if the new control instruction is not consistent with the control instruction directly output by the fuzzy pairing module;
if the new control instruction is consistent with the control instruction directly output by the fuzzy pairing module, performing correct counting;
and if the value obtained by subtracting the error count from the correct count is smaller than a preset error value, intercepting the direct output of the fuzzy pairing module and outputting a new control instruction.
Through the technical scheme, the result of the fuzzy matching module is subjected to self-correction, and the accuracy of the output result of the cloud database is improved, so that the quality of the output result of the remote database is ensured, and the warehouse management operation experience is improved.
An intelligent vertical warehouse unit management system, comprising:
the target storage unit is provided with a unique number and is used for storing furniture goods and executing corresponding actions according to the control instruction;
the voice recording and playing component is in data connection with the cloud database, and is used for receiving voice instruction information, sending the voice instruction information to the cloud database, and receiving and displaying data sent by the cloud database;
the cloud database is in data connection with the target warehousing unit and the voice recording and playing component and is used for receiving, transferring, processing and archiving data transmitted from the outside;
the laser receiver is uniquely matched with the target warehousing unit in a corresponding mode, is in data connection with the cloud database, and is used for receiving and responding to laser information and sending a marking type instruction to the cloud database, wherein the marking type instruction comprises the serial number of the target warehousing unit;
and the laser transmitter is used for transmitting the laser information.
Through above-mentioned technical scheme, combine laser technology and voice technology, can effectively realize the combination of target and action, promote staff's operation convenience greatly, promote work efficiency.
The invention is further configured to: the cloud database is internally provided with a preset algorithm, when the voice recording and playing component acquires the voice instruction information, the voice instruction information is sent to the cloud server, and the cloud server automatically calls the preset algorithm to analyze the voice instruction information to generate a control instruction.
The invention is further configured to: the cloud database comprises:
the statistical module is used for recording and counting the occurrence times of the voice instruction information and the control instruction;
and the fuzzy matching module is in data connection with the counting module and is used for carrying out voice similarity analysis on the newly received voice instruction information and the counted voice instruction information in the cloud database, and if the value obtained by the voice similarity analysis is larger than a preset similarity value and the counted frequency of the control instruction corresponding to the voice instruction information is larger than a preset occurrence value, the newly received voice instruction information is not analyzed by using the preset algorithm and the control instruction corresponding to the counted voice instruction information is directly output.
The invention is further configured to: the cloud database further comprises:
the self-correcting module is in data connection with the fuzzy matching module and is used for analyzing the newly received voice instruction information through the preset algorithm to obtain a new control instruction, and if the new control instruction is not consistent with the control instruction directly output by the fuzzy matching module, error counting is carried out for one time;
if the new control instruction is consistent with the control instruction directly output by the fuzzy pairing module, performing correct counting;
and if the value obtained by subtracting the error count from the correct count is smaller than a preset error value, intercepting the direct output of the fuzzy pairing module and outputting a new control instruction.
Compared with the prior art, the invention has the beneficial effects that:
through combining laser technology and voice technology, can effectively realize the combination of target and action, can appoint relevant target storage unit through mark type instruction earlier, rethread voice type instruction carries out the instruction of action, also can carry out the instruction of action through voice type instruction earlier, appoints target storage unit again and carries out the execution of action, makes things convenient for the remote commander of staff, improves work efficiency.
Drawings
FIG. 1 is a schematic diagram of a system configuration according to an embodiment of the present invention;
FIG. 2 is a block diagram of a method flow of an embodiment of the present invention.
Reference numerals: 1. a target storage unit; 2. a voice recording and playback component; 3. a cloud database; 4. a laser receiver; 5. a laser emitter.
Detailed Description
The invention is described in detail below with reference to the figures and examples.
An intelligent vertical warehouse unit management system, as shown in fig. 1, includes:
the target warehousing unit 1 is provided with a unique number and is used for storing furniture goods and executing corresponding actions according to the control instruction;
the voice recording and playing component 2 is in data connection with the cloud database 3, and is used for receiving voice instruction information, sending the voice instruction information to the cloud database 3, and receiving and displaying data sent by the cloud database 3;
the cloud database 3 is in data connection with the target warehousing unit 1 and the voice recording and playing component 2 and is used for receiving, transferring, processing and archiving data transmitted from the outside;
the laser receiver 4 is uniquely matched with the target warehousing unit 1 in a corresponding mode, is in data connection with the cloud database 3, and is used for receiving and responding to laser information and sending a marking type instruction to the cloud database 3, wherein the marking type instruction comprises the number of the target warehousing unit 1;
and the laser transmitter 5 is used for transmitting laser information.
Combine laser technology and voice technology, can effectively realize the combination of target and action, laser emitter 5 can be held by the staff, shines laser receiver 4, and then corresponds relevant target storage unit 1, promotes staff's operation convenience greatly, promotes work efficiency.
The cloud database 3 is internally provided with a preset algorithm, when the voice recording and playing component 2 acquires the voice instruction information, the voice instruction information is sent to the cloud server, and the cloud server automatically calls the preset algorithm to analyze the voice instruction information to generate a control instruction.
The cloud database 3 includes:
the statistical module is used for recording and counting the occurrence times of the voice instruction information and the control instruction;
and the fuzzy pairing module is in data connection with the statistical module and is used for carrying out voice similarity analysis on the newly received voice instruction information and the counted voice instruction information in the cloud database 3, and if the value analyzed by the voice similarity is larger than a preset similarity value and the frequency of occurrence of the control instruction corresponding to the counted voice instruction information is larger than a preset occurrence value, analyzing the newly received voice instruction information without using a preset algorithm and directly outputting the control instruction corresponding to the counted voice instruction information.
The self-correcting module is in data connection with the fuzzy matching module and is used for analyzing newly received voice instruction information through a preset algorithm to obtain a new control instruction, and if the new control instruction is not consistent with the control instruction directly output by the fuzzy matching module, error counting is carried out for one time;
if the new control instruction is consistent with the control instruction directly output by the fuzzy matching module, one-time correct counting is carried out, the statistical module can record the result of voice information analysis, and the fuzzy matching module can accelerate the speed of the output result of the cloud database 3 and improve the efficiency of voice information processing.
And if the value obtained by subtracting the error count from the correct count is smaller than a preset error value, intercepting the direct output of the fuzzy pairing module and outputting a new control instruction. The result of the fuzzy matching module is self-corrected, so that the accuracy of the output result of the cloud database 3 is improved, the quality of the output result of the remote database is ensured, and the warehousing management operation experience is improved.
An intelligent vertical warehouse unit management method, as shown in fig. 2, includes the following steps:
s1: acquiring and analyzing a mark type instruction and a voice type instruction in real time;
the marking type instruction is associated with the number of the target storage unit 1, and the voice type instruction reflects an action instruction;
s2: if the marked instruction is successfully acquired and analyzed, the inventory state of the target warehousing unit 1 is displayed, meanwhile, the voice instruction is continuously acquired, prompting that the voice instruction is to be acquired is carried out, if the voice instruction is successfully acquired and analyzed in the next 3S, the step S4 is carried out, and if the voice instruction is not successfully acquired and analyzed, the step S1 is carried out;
s3: if the voice type instruction is successfully acquired and analyzed, continuing to acquire the marked instruction and performing prompt to be acquired of the marked instruction, if the marked instruction is successfully acquired and analyzed in the next 3S, entering a step S4, and otherwise, entering a step S1;
s4: the action represented by the action indication is performed on the goods in the target stocker unit 1.
Therefore, the related target storage unit 1 can be appointed through the mark type instruction, then the voice type instruction is used for indicating the action, then the target storage unit 1 is appointed to execute the action, the remote command of a worker is facilitated, and the working efficiency is improved.
Wherein, in step S1:
the laser receiver 4 associated with the target warehousing unit 1 acquires laser signals in real time, and the voice recording and playing component 2 acquires voice instruction information in real time;
when the laser receiver 4 acquires the laser signal, the laser receiver 4 sends the serial number of the target warehousing unit 1 to the cloud server;
when the voice recording and playing component 2 obtains the voice instruction information, the voice instruction information is sent to the cloud server, and the cloud server automatically calls a preset algorithm to analyze the voice instruction information to generate a control instruction.
Recording and counting voice instruction information and the occurrence frequency of a control instruction through a counting module;
and carrying out voice similarity analysis on the newly received voice instruction information and the counted voice instruction information by the cloud database 3 through the fuzzy matching module, and if the value analyzed by the voice similarity is larger than a preset similarity value and the frequency of occurrence of the control instruction corresponding to the counted voice instruction information is larger than a preset occurrence value, analyzing the newly received voice instruction information without using a preset algorithm and directly outputting the control instruction corresponding to the counted voice instruction information.
Analyzing newly received voice instruction information through a preset algorithm by a self-correction module to obtain a new control instruction, and counting errors once if the new control instruction is not consistent with the control instruction directly output by the fuzzy pairing module;
if the new control instruction is consistent with the control instruction directly output by the fuzzy pairing module, performing correct counting;
and if the value obtained by subtracting the error count from the correct count is smaller than a preset error value, intercepting the direct output of the fuzzy pairing module and outputting a new control instruction.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (2)
1. An intelligent vertical storage unit management method is characterized by comprising the following steps:
s1: acquiring and analyzing a mark type instruction and a voice type instruction in real time;
the marking type instruction is associated with the number of the target warehousing unit (1), and the voice type instruction reflects an action instruction;
s2: if the marked instruction is successfully acquired and analyzed, displaying the stock state of the target warehousing unit (1), meanwhile, continuously acquiring the voice instruction, and prompting that the voice instruction is to be acquired, if the voice instruction is successfully acquired and analyzed in the next 3S, entering step S4, otherwise, entering step S1;
s3: if the voice type instruction is successfully acquired and analyzed, continuing to acquire the mark type instruction and prompting the mark type instruction to be acquired, if the mark type instruction is successfully acquired and analyzed in the next 3S, entering a step S4, and if the mark type instruction is not successfully acquired and analyzed, entering a step S1;
s4: -performing the action represented by the action indication on the goods in the target warehousing unit (1);
wherein, in the step S1:
a laser receiver (4) associated with the target warehousing unit (1) acquires a laser signal in real time, and a voice recording and playing component (2) acquires voice instruction information in real time;
when the laser receiver (4) acquires the laser signal, the laser receiver (4) sends the serial number of the target warehousing unit (1) to a cloud server;
when the voice recording and playing component (2) acquires the voice instruction information, the voice instruction information is sent to the cloud server, and the cloud server automatically calls a preset algorithm to analyze the voice instruction information to generate a control instruction;
the step S1 includes:
recording and counting the voice instruction information and the occurrence frequency of the control instruction through a counting module;
carrying out voice similarity analysis on the newly received voice instruction information and the counted voice instruction information by a fuzzy matching module, and if a value obtained by the voice similarity analysis is larger than a preset similarity value and the number of times of occurrence of the control instruction corresponding to the counted voice instruction information is larger than a preset occurrence value, not using the preset algorithm to analyze the newly received voice instruction information and directly outputting the control instruction corresponding to the counted voice instruction information;
analyzing the newly received voice instruction information through the preset algorithm by a self-correcting module to obtain a new control instruction, and counting errors once if the new control instruction is not consistent with the control instruction directly output by the fuzzy pairing module;
if the new control instruction is consistent with the control instruction directly output by the fuzzy pairing module, performing correct counting;
and if the value obtained by subtracting the error count from the correct count is smaller than a preset error value, intercepting the direct output of the fuzzy pairing module and outputting a new control instruction.
2. An intelligent vertical warehouse unit management system, comprising:
the target storage unit (1) is provided with a unique number and is used for storing furniture goods and executing corresponding actions according to the control instruction;
the voice recording and playing component (2) is in data connection with the cloud database (3) and is used for receiving voice instruction information, then sending the voice instruction information to the cloud database (3) and receiving and displaying data sent by the cloud database (3);
the cloud database (3) is in data connection with the target warehousing unit (1) and the voice recording and playing component (2) and is used for receiving, transferring, processing and archiving data transmitted from the outside;
the laser receiver (4) is uniquely matched with the target warehousing unit (1) in a corresponding mode, is in data connection with the cloud database (3), and is used for receiving and responding to laser information and sending a marking type instruction to the cloud database (3), wherein the marking type instruction comprises the number of the target warehousing unit (1);
a laser transmitter (5) for transmitting the laser information;
the cloud database (3) is internally provided with a preset algorithm, when the voice recording and playing component (2) acquires the voice instruction information, the voice instruction information is sent to a cloud server, and the cloud server automatically calls the preset algorithm to analyze the voice instruction information to generate a control instruction;
the cloud database (3) comprises:
the statistic module is used for recording and counting the occurrence times of the voice instruction information and the control instruction;
the fuzzy matching module is in data connection with the counting module and is used for carrying out voice similarity analysis on the newly received voice instruction information and the counted voice instruction information in the cloud database (3), and if the value obtained by the voice similarity analysis is larger than a preset similarity value and the frequency of the control instruction corresponding to the counted voice instruction information is larger than a preset occurrence value, the newly received voice instruction information is not analyzed by using the preset algorithm and the control instruction corresponding to the counted voice instruction information is directly output;
the self-correcting module is in data connection with the fuzzy matching module and is used for analyzing the newly received voice instruction information through the preset algorithm to obtain a new control instruction, and if the new control instruction is not consistent with the control instruction directly output by the fuzzy matching module, error counting is carried out for one time;
if the new control instruction is consistent with the control instruction directly output by the fuzzy pairing module, performing correct counting;
and if the value obtained by subtracting the error count from the correct count is smaller than a preset error value, intercepting the direct output of the fuzzy pairing module and outputting a new control instruction.
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| 智能可视化仓储信息管理系统的设计;胡晓燕;《物流技术》;20141225(第24期);全文 * |
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