CN109703008B - Intelligent additive manufacturing method and device based on big data artificial intelligence analysis - Google Patents
Intelligent additive manufacturing method and device based on big data artificial intelligence analysis Download PDFInfo
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- CN109703008B CN109703008B CN201910000232.XA CN201910000232A CN109703008B CN 109703008 B CN109703008 B CN 109703008B CN 201910000232 A CN201910000232 A CN 201910000232A CN 109703008 B CN109703008 B CN 109703008B
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Abstract
The invention discloses an intelligent additive manufacturing method based on big data artificial intelligence analysis, which comprises the following steps: collecting, by a wireless client, a user's demand for a printed article; generating, by a wireless client, a signal transmission quality report; sending, by a wireless client, a signal transmission quality report to a first intelligent additive control center; the method comprises the steps that whether a wireless client needs to be instructed to send the requirement of a user for a printed product to a second intelligent additive control center is judged by the first intelligent additive control center based on a signal transmission quality report; and if the wireless client is required to be instructed to send the user demand for the printed product to the second intelligent additive control center, the first intelligent additive control center sends a transfer request message to the second intelligent additive control center.
Description
Technical Field
The invention relates to the technical field of intelligent manufacturing, in particular to an intelligent additive manufacturing method and device based on big data artificial intelligence analysis.
Background
Smart manufacturing, derived from the study of artificial intelligence. Intelligence is generally considered to be the sum of knowledge, which is the basis of intelligence, and intelligence, which is the ability to acquire and apply knowledge to solve. The intelligent manufacturing system not only can continuously enrich a knowledge base in practice, but also has a self-learning function, and also has the capability of collecting and understanding environmental information and self information, analyzing, judging and planning self behaviors.
The prior art CN109031949A proposes a cooperative control method for an intelligent manufacturing system, which includes the following steps: collecting state, input and output data of each production equipment in the intelligent manufacturing system; obtaining a dynamic error of the equipment at a certain moment according to the state, input data and output data of the equipment; obtaining an evaluation function of the equipment by utilizing a performance index function in the optimality principle based on the dynamic error; obtaining an optimal parameter meeting an evaluation function by using a neural network algorithm; and setting and controlling the equipment according to the optimal parameters.
The prior art CN109034694A proposes an intelligent storage method and system for production raw materials based on intelligent manufacturing, wherein the intelligent storage method for production raw materials comprises: acquiring the types of production raw materials required for producing corresponding products, the corresponding quantity and the processing sequence of each production raw material, and storing the types, the corresponding quantity and the processing sequence of each production raw material in a storage database; identifying the production raw materials entering the warehouse based on a binocular vision system; acquiring the number and the processing sequence corresponding to the identified production raw materials in a storage database according to the identified production raw materials; performing label generation treatment according to the identified production raw materials, the quantity and the processing sequence to obtain a generated label; and sticking the label on the identified production raw material, and conveying the identified production raw material to a specified storage position based on the intelligent conveying platform.
In the prior art, CN109063976A is an intelligent manufacturing capability maturity evaluation method based on a fuzzy analytic hierarchy process, and the steps are as follows: s1, establishing an evaluation index system: according to the evaluation purpose, a step-by-step hierarchical intelligent manufacturing capability maturity evaluation index system is established by means of investigation and research and expert consultation; s2, determining the weight: introducing the review opinions of field experts by using an analytic hierarchy process, and determining the weight of each index of the same level; s3, quantization index: the development level of the index is uniformly used by combining the general development level of the current intelligent manufacturing maturity; s4, fuzzy comprehensive evaluation: acquiring the membership degree of a fuzzy subset of an evaluation set according to the reference values of the evaluation set and the corresponding evaluation grade set, and constructing a fuzzy relation matrix; and obtaining a total score of the maturity by using a weighted average method according to the weight vector of the index and the fuzzy relation matrix, and further judging the maturity level of the evaluation object.
The information disclosed in this background section is only for enhancement of understanding of the general background of the invention and should not be taken as an acknowledgement or any form of suggestion that this information forms the prior art already known to a person skilled in the art.
Disclosure of Invention
The invention aims to provide an intelligent additive manufacturing method and device based on big data artificial intelligence analysis, which can overcome the defects of the prior art.
In order to achieve the above object, the present invention provides an intelligent additive manufacturing method based on big data artificial intelligence analysis, which includes the following steps:
collecting, by a wireless client, a user's demand for a printed article;
generating, by the wireless client, a signal transmission quality report, wherein the signal transmission quality report includes at least a first signal reception power level of a signal received by the wireless client from a first intelligent additive control center and a second signal reception power level of a signal received by the wireless client from a second intelligent additive control center;
sending, by a wireless client, a signal transmission quality report to a first intelligent additive control center;
determining, by the first intelligent additive control center, whether it is necessary to instruct the wireless client to send a user's demand for a printed product to the second intelligent additive control center based on the signal transmission quality report, wherein if the first signal reception power level is less than the second signal reception power level, it is determined that it is necessary to instruct the wireless client to send the user's demand for a printed product to the second intelligent additive control center;
if the wireless client is instructed to send the requirement of the user for the printed product to a second intelligent additive control center, the first intelligent additive control center sends a transfer request message to the second intelligent additive control center;
receiving, by a first intelligent additive control center, a transfer request response message sent by a second intelligent additive control center;
in response to receiving the transfer request response message, stopping, by the first intelligent additive control center, sending a new message to the wireless client while the first intelligent additive control center is still capable of receiving the message sent by the wireless client;
after stopping sending the new message to the wireless client, stopping sending, by the first intelligent additive control center, the transfer command to the wireless client;
establishing, by the wireless client, communication with a second intelligent additive control center after receiving the transfer command;
sending, by the wireless client, a user demand for a printed article to a second intelligent additive control center;
performing big data analysis on the demand of the user for the printed product by a second intelligent additive control center to recommend intelligent additive product information required by the customer; and
and sending the intelligent additive product information required by the customer to the intelligent additive machine by the second intelligent additive control center.
In a preferred embodiment, the intelligent additive manufacturing method based on big data artificial intelligence analysis further comprises the following steps:
if the wireless client does not need to be instructed to send the user demand for the printed product to the second intelligent additive control center, the first intelligent additive control center sends a demand request command to the wireless client;
in response to receiving the demand request command, sending, by the wireless client, the collected user demand for the printed article to a first intelligent additive control center;
performing big data analysis on the demand of a user for a printed product by a first intelligent additive control center to recommend intelligent additive product information required by a customer; and
and sending the intelligent additive product information required by the customer to the intelligent additive machine by the first intelligent additive control center.
In a preferred embodiment, after receiving the transfer command, establishing, by the wireless client, communication with the second smart additive control center specifically includes the following steps:
in response to receiving the transfer command, stopping sending the message to the first intelligent additive control center by the wireless client, and storing the message to be sent in a cache of the wireless client;
synchronizing by the wireless client with a second intelligent additive control center; and
after synchronization, the cached message is sent by the wireless client to the second intelligent additive control center.
In a preferred embodiment, the first signal received power level is obtained by:
receiving, by a wireless client, a reference signal sent by a first intelligent additive control center; and
a first signal received power level is determined by a sensor of the wireless client based on the received power of the reference signal.
In a preferred embodiment, the second signal received power level is obtained by:
receiving, by the wireless client, a reference signal sent by a second intelligent additive control center; and
a second signal received power level is determined by a sensor of the wireless client based on the received power of the reference signal.
The invention provides an intelligent additive manufacturing device based on big data artificial intelligence analysis, which comprises:
means for collecting, by a wireless client, a user's demand for a printed article;
the method includes generating a signal transmission quality report by a wireless client, wherein the signal transmission quality report includes at least a first signal reception power level of a signal received by the wireless client from a first intelligent additive control center and a second signal reception power level of a signal received by the wireless client from a second intelligent additive control center;
means for sending, by a wireless client, a signal transmission quality report to a first intelligent additive control center;
means for determining, by the first intelligent additive control center, whether it is necessary to instruct the wireless client to send a user's demand for a printed article to the second intelligent additive control center based on the signal transmission quality report, wherein if the first signal receive power level is less than the second signal receive power level, it is determined that it is necessary to instruct the wireless client to send the user's demand for a printed article to the second intelligent additive control center;
the unit is used for commanding the wireless client to send the requirement of the user for the printed product to the second intelligent additive control center if the requirement is judged, and sending a transfer request message to the second intelligent additive control center by the first intelligent additive control center;
the method includes the steps of receiving, by a first intelligent additive control center, a transfer request response message sent by a second intelligent additive control center;
means for stopping, by the first intelligent additive control center, sending the new message to the wireless client in response to receiving the transfer request response message, while the first intelligent additive control center is still capable of receiving the message sent by the wireless client;
means for stopping, by the first intelligent additive control center, sending the transfer command to the wireless client after stopping sending the new message to the wireless client;
means for establishing, by the wireless client, communication with a second smart additive control center after receiving the transfer command;
means for sending, by the wireless client, a user demand for a printed article to a second intelligent additive control center;
the intelligent additive control center is used for carrying out big data analysis on the demand of the user for the printed product so as to recommend intelligent additive product information required by the customer; and
and the second intelligent additive control center is used for sending the intelligent additive product information required by the customer to the intelligent additive machine.
In a preferred embodiment, the intelligent additive manufacturing apparatus based on big data artificial intelligence analysis further comprises a unit for performing the following steps:
if the wireless client does not need to be instructed to send the user demand for the printed product to the second intelligent additive control center, the first intelligent additive control center sends a demand request command to the wireless client;
in response to receiving the demand request command, sending, by the wireless client, the collected user demand for the printed article to a first intelligent additive control center;
performing big data analysis on the demand of a user for a printed product by a first intelligent additive control center to recommend intelligent additive product information required by a customer; and
and sending the intelligent additive product information required by the customer to the intelligent additive machine by the first intelligent additive control center.
In a preferred embodiment, after receiving the transfer command, establishing, by the wireless client, communication with the second smart additive control center specifically includes the following steps:
in response to receiving the transfer command, stopping sending the message to the first intelligent additive control center by the wireless client, and storing the message to be sent in a cache of the wireless client;
synchronizing by the wireless client with a second intelligent additive control center; and
after synchronization, the cached message is sent by the wireless client to the second intelligent additive control center.
In a preferred embodiment, the first signal received power level is obtained by:
receiving, by a wireless client, a reference signal sent by a first intelligent additive control center; and
a first signal received power level is determined by the wireless client based on the received power of the reference signal.
In a preferred embodiment, the second signal received power level is obtained by:
receiving, by the wireless client, a reference signal sent by a second intelligent additive control center; and
a second signal received power level is determined by the wireless client based on the received power of the reference signal.
Compared with the prior art, the intelligent additive manufacturing method and device based on big data artificial intelligence analysis have the following advantages: the method is a 3D product manufacturing method based on wireless communication, can be better fused with the technology of the Internet of things, and provides a very good interface and platform for an upcoming commercial 5G system. Meanwhile, the method of the invention considers the characteristics of wireless communication and provides a method for carrying out self-adaptive switching of a transmission object by judging the signal quality.
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Fig. 1 is a flow chart of an intelligent additive manufacturing method based on big data artificial intelligence analysis according to an embodiment of the invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
Fig. 1 is a flow chart of an intelligent additive manufacturing method based on big data artificial intelligence analysis according to an embodiment of the invention. As shown in the figure, the intelligent additive manufacturing method based on big data artificial intelligence analysis of the invention comprises the following steps:
step 101: collecting, by a wireless client, a user's demand for a printed article;
step 102: generating, by the wireless client, a signal transmission quality report, wherein the signal transmission quality report includes at least a first signal reception power level of a signal received by the wireless client from a first intelligent additive control center and a second signal reception power level of a signal received by the wireless client from a second intelligent additive control center;
step 103: sending, by a wireless client, a signal transmission quality report to a first intelligent additive control center;
step 104: determining, by the first intelligent additive control center, whether it is necessary to instruct the wireless client to send a user's demand for a printed product to the second intelligent additive control center based on the signal transmission quality report, wherein if the first signal reception power level is less than the second signal reception power level, it is determined that it is necessary to instruct the wireless client to send the user's demand for a printed product to the second intelligent additive control center;
step 105: if the wireless client is instructed to send the requirement of the user for the printed product to a second intelligent additive control center, the first intelligent additive control center sends a transfer request message to the second intelligent additive control center;
step 106: receiving, by a first intelligent additive control center, a transfer request response message sent by a second intelligent additive control center;
step 107: in response to receiving the transfer request response message, stopping, by the first intelligent additive control center, sending a new message to the wireless client while the first intelligent additive control center is still capable of receiving the message sent by the wireless client;
step 108: after stopping sending the new message to the wireless client, stopping sending, by the first intelligent additive control center, the transfer command to the wireless client;
step 109: establishing, by the wireless client, communication with a second intelligent additive control center after receiving the transfer command;
step 110: sending, by the wireless client, a user demand for a printed article to a second intelligent additive control center;
step 111: performing big data analysis on the demand of the user for the printed product by a second intelligent additive control center to recommend intelligent additive product information required by the customer; and
step 112: and sending the intelligent additive product information required by the customer to the intelligent additive machine by the second intelligent additive control center.
In a preferred embodiment, the intelligent additive manufacturing method based on big data artificial intelligence analysis comprises the following steps: if the wireless client does not need to be instructed to send the user demand for the printed product to the second intelligent additive control center, the first intelligent additive control center sends a demand request command to the wireless client; in response to receiving the demand request command, sending, by the wireless client, the collected user demand for the printed article to a first intelligent additive control center; performing big data analysis on the demand of a user for a printed product by a first intelligent additive control center to recommend intelligent additive product information required by a customer; and sending the intelligent additive product information required by the customer to the intelligent additive machine by the first intelligent additive control center.
In a preferred embodiment, after receiving the transfer command, establishing, by the wireless client, communication with the second smart additive control center specifically includes the following steps: in response to receiving the transfer command, stopping sending the message to the first intelligent additive control center by the wireless client, and storing the message to be sent in a cache of the wireless client; synchronizing by the wireless client with a second intelligent additive control center; and after synchronization, sending, by the wireless client, the cached message to a second intelligent additive control center.
In a preferred embodiment, the first signal received power level is obtained by: receiving, by a wireless client, a reference signal sent by a first intelligent additive control center; and determining, by a sensor of the wireless client, a first signal received power level based on the received power of the reference signal.
In a preferred embodiment, the second signal received power level is obtained by: receiving, by the wireless client, a reference signal sent by a second intelligent additive control center; and determining, by a sensor of the wireless client, a second signal received power level based on the received power of the reference signal.
The invention also provides an intelligent additive manufacturing device based on big data artificial intelligence analysis, which comprises:
means for collecting, by a wireless client, a user's demand for a printed article;
the method includes generating a signal transmission quality report by a wireless client, wherein the signal transmission quality report includes at least a first signal reception power level of a signal received by the wireless client from a first intelligent additive control center and a second signal reception power level of a signal received by the wireless client from a second intelligent additive control center;
means for sending, by a wireless client, a signal transmission quality report to a first intelligent additive control center;
means for determining, by the first intelligent additive control center, whether it is necessary to instruct the wireless client to send a user's demand for a printed article to the second intelligent additive control center based on the signal transmission quality report, wherein if the first signal receive power level is less than the second signal receive power level, it is determined that it is necessary to instruct the wireless client to send the user's demand for a printed article to the second intelligent additive control center;
the unit is used for commanding the wireless client to send the requirement of the user for the printed product to the second intelligent additive control center if the requirement is judged, and sending a transfer request message to the second intelligent additive control center by the first intelligent additive control center;
the method includes the steps of receiving, by a first intelligent additive control center, a transfer request response message sent by a second intelligent additive control center;
means for stopping, by the first intelligent additive control center, sending the new message to the wireless client in response to receiving the transfer request response message, while the first intelligent additive control center is still capable of receiving the message sent by the wireless client;
means for stopping, by the first intelligent additive control center, sending the transfer command to the wireless client after stopping sending the new message to the wireless client;
means for establishing, by the wireless client, communication with a second smart additive control center after receiving the transfer command;
means for sending, by the wireless client, a user demand for a printed article to a second intelligent additive control center;
the intelligent additive control center is used for carrying out big data analysis on the demand of the user for the printed product so as to recommend intelligent additive product information required by the customer; and
and the second intelligent additive control center is used for sending the intelligent additive product information required by the customer to the intelligent additive machine.
In a preferred embodiment, the intelligent additive manufacturing apparatus based on big data artificial intelligence analysis further comprises a unit for performing the following steps: if the wireless client does not need to be instructed to send the user demand for the printed product to the second intelligent additive control center, the first intelligent additive control center sends a demand request command to the wireless client; in response to receiving the demand request command, sending, by the wireless client, the collected user demand for the printed article to a first intelligent additive control center; performing big data analysis on the demand of a user for a printed product by a first intelligent additive control center to recommend intelligent additive product information required by a customer; and sending the intelligent additive product information required by the customer to the intelligent additive machine by the first intelligent additive control center.
In a preferred embodiment, after receiving the transfer command, establishing, by the wireless client, communication with the second smart additive control center specifically includes the following steps: in response to receiving the transfer command, stopping sending the message to the first intelligent additive control center by the wireless client, and storing the message to be sent in a cache of the wireless client; synchronizing by the wireless client with a second intelligent additive control center; and after synchronization, sending, by the wireless client, the cached message to a second intelligent additive control center.
In a preferred embodiment, the first signal received power level is obtained by: receiving, by a wireless client, a reference signal sent by a first intelligent additive control center; and determining, by the wireless client, a first signal received power level based on the received power of the reference signal.
In a preferred embodiment, the second signal received power level is obtained by: receiving, by the wireless client, a reference signal sent by a second intelligent additive control center; and determining, by the wireless client, a second signal received power level based on the received power of the reference signal.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (10)
1. An intelligent additive manufacturing method based on big data artificial intelligence analysis is characterized in that: the intelligent additive manufacturing method based on big data artificial intelligence analysis comprises the following steps:
collecting, by a wireless client, a user's demand for a printed article;
generating, by the wireless client, a signal transmission quality report, wherein the signal transmission quality report includes at least a first signal reception power level of a signal received by the wireless client from a first intelligent additive control center and a second signal reception power level of a signal received by the wireless client from a second intelligent additive control center;
sending, by the wireless client, the signal transmission quality report to the first intelligent additive control center;
determining, by the first intelligent additive control center, based on the signal transmission quality report, whether the wireless client needs to be instructed to send the user's demand for printed articles to the second intelligent additive control center, wherein if the first signal received power level is less than the second signal received power level, it is determined that the wireless client needs to be instructed to send the user's demand for printed articles to the second intelligent additive control center;
if the wireless client is judged to need to be instructed to send the user's demand for printed products to the second intelligent additive control center, the first intelligent additive control center sends a transfer request message to the second intelligent additive control center;
receiving, by the first intelligent additive control center, a transfer request response message sent by the second intelligent additive control center;
in response to receiving the transfer request response message, stopping sending, by the first smart additive control center, a new message to the wireless client while the first smart additive control center is still capable of receiving messages sent by the wireless client;
after stopping sending new messages to the wireless client, stopping sending, by the first smart additive control center, a transfer command to the wireless client;
establishing, by the wireless client, communication with the second smart additive control center after receiving the transfer command;
sending, by the wireless client, the user's demand for a printed article to the second intelligent additive control center;
performing big data analysis on the demand of the user for the printed product by the second intelligent additive control center to recommend intelligent additive product information required by a customer; and
sending, by the second intelligent additive control center, intelligent additive product information required by the customer to an intelligent additive machine.
2. The intelligent additive manufacturing method based on big data artificial intelligence analysis of claim 1, wherein: the intelligent additive manufacturing method based on big data artificial intelligence analysis further comprises the following steps:
if the wireless client is judged not to be required to be instructed to send the user's demand for printed products to the second intelligent additive control center, sending a demand request command to the wireless client by the first intelligent additive control center;
in response to receiving the demand request command, sending, by the wireless client, the collected user demand for printed articles to the first intelligent additive control center;
performing big data analysis on the demand of the user for the printed product by the first intelligent additive control center to recommend intelligent additive product information required by a customer; and
sending, by the first intelligent additive control center, intelligent additive product information required by the customer to the intelligent additive machine.
3. The intelligent additive manufacturing method based on big data artificial intelligence analysis of claim 2, wherein: after receiving the transfer command, establishing, by the wireless client, communication with the second smart additive control center specifically includes the following steps:
in response to receiving the transfer command, stopping sending, by the wireless client, a message to the first intelligent additive control center, and storing the message to be sent in a cache of the wireless client;
synchronizing, by the wireless client, with the second intelligent additive control center; and
after synchronizing, sending, by the wireless client, the cached message to the second intelligent additive control center.
4. The intelligent additive manufacturing method based on big data artificial intelligence analysis of claim 3, wherein: the first signal received power level is obtained by:
receiving, by the wireless client, a reference signal sent by the first intelligent additive control center;
determining, by a sensor of the wireless client, the first signal received power level based on the received power of the reference signal.
5. The intelligent additive manufacturing method based on big data artificial intelligence analysis of claim 4, wherein: the second signal received power level is obtained by:
receiving, by the wireless client, a reference signal sent by the second smart additive control center;
determining, by a sensor of the wireless client, the second signal received power level based on the received power of the reference signal.
6. The utility model provides an intelligence vibration material disk device based on big data artificial intelligence analysis which characterized in that: the intelligent additive manufacturing device based on big data artificial intelligence analysis comprises:
means for collecting, by a wireless client, a user's demand for a printed article;
means for generating a signal transmission quality report by a wireless client, wherein the signal transmission quality report includes at least a first signal reception power level of a signal received by the wireless client from a first intelligent additive control center and a second signal reception power level of a signal received by the wireless client from a second intelligent additive control center;
means for transmitting, by a wireless client, the signal transmission quality report to the first intelligent additive control center;
means for determining, by the first intelligent additive control center, whether the wireless client needs to be instructed to send the user's demand for printed articles to the second intelligent additive control center based on the signal transmission quality report, wherein if the first signal receive power level is less than the second signal receive power level, it is determined that the wireless client needs to be instructed to send the user's demand for printed articles to the second intelligent additive control center;
means for sending, by the first intelligent additive control center, a transfer request message to the second intelligent additive control center if it is determined that the wireless client needs to be instructed to send the user's demand for printed products to the second intelligent additive control center;
means for receiving, by the first smart additive control center, a transfer request response message sent by the second smart additive control center;
means for stopping, by the first smart additive control center, sending a new message to the wireless client in response to receiving the transfer request response message while the first smart additive control center is still capable of receiving messages sent by the wireless client;
means for stopping, by a first smart additive control center, sending a transfer command to the wireless client after stopping sending new messages to the wireless client;
means for establishing, by a wireless client, communication with the second smart additive control center after receiving the transfer command;
means for sending, by a wireless client, a user demand for a printed article to the second intelligent additive control center;
means for performing big data analysis by the second smart additive control center on the user's demand for printed products to recommend smart additive product information required by a customer; and
means for sending, by the second smart additive control center, smart additive product information required by the customer to a smart additive machine.
7. The intelligent additive manufacturing apparatus based on big data artificial intelligence analysis of claim 6, wherein: the intelligent additive manufacturing device based on big data artificial intelligence analysis further comprises a unit for executing the following steps:
if the wireless client is judged not to be required to be instructed to send the user's demand for printed products to the second intelligent additive control center, sending a demand request command to the wireless client by the first intelligent additive control center;
in response to receiving the demand request command, sending, by the wireless client, the collected user demand for printed articles to the first intelligent additive control center;
performing big data analysis on the demand of the user for the printed product by the first intelligent additive control center to recommend intelligent additive product information required by a customer; and
sending, by the first intelligent additive control center, intelligent additive product information required by the customer to an intelligent additive machine.
8. The intelligent additive manufacturing apparatus based on big data artificial intelligence analysis of claim 7, wherein: after receiving the transfer command, establishing, by the wireless client, communication with the second smart additive control center specifically includes the following steps:
in response to receiving the transfer command, stopping sending, by the wireless client, a message to the first intelligent additive control center, and storing the message to be sent in a cache of the wireless client;
synchronizing, by the wireless client, with the second intelligent additive control center; and
after synchronizing, sending, by the wireless client, the cached message to the second intelligent additive control center.
9. The intelligent additive manufacturing apparatus based on big data artificial intelligence analysis of claim 8, wherein: the first signal received power level is obtained by:
receiving, by a wireless client, a reference signal sent by the first intelligent additive control center;
determining, by a wireless client, the first signal received power level based on the received power of the reference signal.
10. The intelligent additive manufacturing apparatus based on big data artificial intelligence analysis of claim 9, wherein: the second signal received power level is obtained by:
receiving, by a wireless client, a reference signal sent by the second intelligent additive control center;
determining, by the wireless client, the second signal received power level based on the received power of the reference signal.
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