CN113901849A - Intelligent material detection method and system - Google Patents

Intelligent material detection method and system Download PDF

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CN113901849A
CN113901849A CN202111021131.4A CN202111021131A CN113901849A CN 113901849 A CN113901849 A CN 113901849A CN 202111021131 A CN202111021131 A CN 202111021131A CN 113901849 A CN113901849 A CN 113901849A
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information
electronic equipment
detection result
detection
sending
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曾宪景
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Shenzhen Yonggui Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10009—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation sensing by radiation using wavelengths larger than 0.1 mm, e.g. radio-waves or microwaves
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
    • G06K7/1417—2D bar codes
    • 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
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    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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Abstract

The invention relates to the technical field of data processing, and discloses an intelligent material detection method and system, wherein the method comprises the following steps: acquiring material information read by the electronic equipment from the material; according to the material information, sending detection content to be executed to the electronic equipment; receiving a detection result, and judging whether the detection result meets a preset range; if the detection result is within the preset range, uploading and storing the detection result into the material information of the cloud database; and if the detection result is not in the preset range, refusing to upload the detection result to the cloud database, and sending prompt information to the electronic equipment. The application provides a pair of intelligent material detection method for whole material detection process is more intelligent, also makes the electronic equipment of different detection processes can both convenient and fast acquire material information, avoids the material to appear in the testing process and lou examines, examines the condition less, thereby improves the product quality after detecting.

Description

Intelligent material detection method and system
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent material detection method and system.
Background
In the production process of enterprises, particularly manufacturing enterprises, the detection of the produced materials gradually becomes a necessary process in the production process, the quality of products can be greatly influenced, and the economic benefit of the enterprises is directly related.
At present, in the process of cable production, the detection of the cable is mainly completed by manual operation, and the detection mode is simple and effective. However, in the working process of people, conditions such as negligence, inattentive attention, distraction and the like are inevitably generated, so that the conditions of missed detection and less detection are easily caused, or unqualified products are put into qualified products, and the integral quality of the products is greatly influenced.
Disclosure of Invention
The invention aims to provide an intelligent material detection method and system, and aims to solve the problem that the overall quality of a product is influenced by human negligence in the process of manually detecting materials in the prior art.
The invention is realized in such a way that, in a first aspect, an embodiment of the invention provides an intelligent material detection method, which includes:
acquiring material information read by the electronic equipment from the material; the material information is stored in a cloud database, an electronic tag or a two-dimensional code is arranged on the material, and an access address of the material information is configured in the electronic tag or the two-dimensional code so that the electronic equipment can read the material information;
according to the material information, sending detection content to be executed to the electronic equipment;
receiving a detection result, and judging whether the detection result meets a preset range;
if the detection result is within a preset range, uploading and storing the detection result into the material information of the cloud database; the electronic equipment in the next process can acquire the material information containing the detection result by identifying the electronic tag or the two-dimensional code;
and if the detection result is not in the preset range, refusing to upload the detection result to the cloud database, and sending prompt information to the electronic equipment.
In one embodiment, the material information includes material identification, material quantity, and material parameters.
In one embodiment, the sending, to the electronic device, detection content to be executed according to the material information includes:
judging the obtained material information;
if the material information only contains identification information, sending prompt information for detecting the quantity and/or parameters of the materials to the electronic equipment;
if the material information contains identification information and material quantity, sending prompt information for detecting material parameters to the electronic equipment;
and if the material information contains identification information and material parameters, sending prompt information for detecting the material quantity to the electronic equipment.
In one embodiment, after the step of refusing to upload the detection result to the cloud database and sending a prompt message to the electronic device if the detection result is not within the preset range, the method further includes:
recording the times that the detection result is not in a preset range as N within a preset time;
and judging the value of N, and if the value of N is larger than the preset value, controlling the electronic equipment to be in a locked state so that the electronic equipment can not execute the detection operation any more.
In one embodiment, after the step of refusing to upload the detection result to the cloud database and sending a prompt message to the electronic device if the detection result is not within the preset range, the method further includes:
recording the number of times that the continuously received detection result is not in a preset range as M;
and judging the value of the M, and if the value of the M is larger than the preset value, controlling the electronic equipment to be in a locked state so that the electronic equipment can not execute the detection operation any more.
Compared with the prior art, the invention mainly has the following beneficial effects:
according to the intelligent material detection method, the material information read from the material by the electronic equipment is obtained; then according to the material information, sending detection content to be executed to the electronic equipment; meanwhile, receiving a detection result, and judging whether the detection result meets a preset range; if the detection result is within a preset range, uploading and storing the detection result into the material information of the cloud database; and if the detection result is not in the preset range, refusing to upload the detection result to the cloud database, and sending prompt information to the electronic equipment. According to the material detection method, the material information is stored in the cloud database, and meanwhile, the material information is obtained in a mode of identifying an electronic tag or scanning a two-dimensional code, so that the whole material detection process is more intelligent, electronic equipment in different detection procedures can conveniently and quickly obtain the material information, and the situations of missing detection and few detection of the material in the detection process are avoided; meanwhile, when unqualified products are detected, the detection result is uploaded to the cloud database and prompt information is sent to the electronic equipment in a mode of refusing, the function of reminding workers can be played, the workers are effectively prevented from being placed into the qualified products due to negligence during working, and therefore the quality of the products after detection is greatly improved.
In a second aspect, an embodiment of the present application provides an intelligent material detection system, including:
the acquisition unit is used for acquiring material information read by the electronic equipment from the material; the material information is stored in a cloud database, an electronic tag or a two-dimensional code is arranged on the material, and an access address of the material information is configured in the electronic tag or the two-dimensional code so that the electronic equipment can read the material information;
the sending unit is used for sending detection contents to be executed to the electronic equipment according to the material information;
the judging unit is used for receiving the detection result and judging whether the detection result meets a preset range;
the uploading unit is used for uploading and storing the detection result into the material information of the cloud database when the detection result is within a preset range; the electronic equipment in the next process can acquire the material information containing the detection result by identifying the electronic tag or the two-dimensional code;
and the rejecting unit is used for rejecting to upload the detection result to the cloud database and sending prompt information to the electronic equipment when the detection result is not in a preset range.
In one embodiment, the material information includes material identification, material quantity, and material parameters.
In one embodiment, the sending unit includes:
the judging subunit is used for judging the acquired material information;
the first sending subunit is used for sending prompt information for detecting the quantity and/or parameters of the materials to the electronic equipment when the material information only contains identification information;
the second sending subunit is used for sending prompt information for detecting material parameters to the electronic equipment when the material information contains identification information and material quantity;
and the third sending subunit is used for sending prompt information for detecting the material quantity to the electronic equipment when the material information contains the identification information and the material parameters.
In a third aspect, an embodiment of the present application provides a computer device, including a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute the computer program and implement any one of the intelligent material detection methods described above when the computer program is executed.
In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the processor is enabled to implement any one of the intelligent material detection methods described above.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a schematic flow chart of an intelligent material detection method according to a first embodiment of the present invention;
fig. 2 is a schematic flowchart of a step S200 in an intelligent material detection method according to a second embodiment of the present invention;
fig. 3 is a schematic flow chart of an intelligent material detection method according to a third embodiment of the present invention;
fig. 4 is a schematic flow chart of an intelligent material detection method according to a fourth embodiment of the present invention;
FIG. 5 is a schematic block diagram of an intelligent material detection system provided by an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a sending unit in an intelligent material detection system according to an embodiment of the present invention;
fig. 7 is a schematic block diagram of a structure of a computer device according to an embodiment of the present invention.
Reference numerals: 1-obtaining unit, 2-sending unit, 3-judging unit, 4-uploading unit, 5-rejecting unit, 21-judging subunit, 22-first sending subunit, 23-second sending subunit and 24-third sending subunit.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that, although the terms first, second, etc. may be used herein to describe various functional blocks in embodiments of the present invention, these functional blocks should not be limited by these terms. These terms are only used to distinguish one type of functional module from another. For example, a first retrieving module may also be referred to as a second retrieving module without necessarily requiring or implying any such actual relationship or order between such entities or operations without departing from the scope of embodiments of the present invention. Similarly, the second retrieval module may also be referred to as the first retrieval module. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The following describes the implementation of the present invention in detail with reference to specific embodiments.
Fig. 1 is a schematic flow chart illustrating an intelligent material detection method according to a first embodiment of the present invention, and the following describes an embodiment of the present invention in detail with reference to fig. 1.
An intelligent material detection method is applied to a background server, and comprises the following steps: step S100, step S200, step S300, step S400, and step S500.
Step S100: and acquiring material information read by the electronic equipment from the material.
The material information is stored in a cloud database, an electronic tag or a two-dimensional code is arranged on the material, and an access address of the material information is configured in the electronic tag or the two-dimensional code so that the electronic equipment can read the material information.
Specifically, the material information of each material is stored in the cloud database so that managers can check the material information conveniently, the electronic equipment can check the material information of the materials in a mode of reading electronic tags or two-dimensional codes, and the server acquires the material information read by the electronic equipment in a mode of establishing communication connection with the electronic equipment.
It will be appreciated that the electronic tag may be a radio frequency identification tag.
Step S200: and sending detection content to be executed to the electronic equipment according to the material information.
Specifically, according to the material information, the material can be identified, so that a corresponding detection strategy is formulated, and then the detection content required to be executed by the electronic equipment is sent to the electronic equipment according to the detection strategy, so that the staff can detect the material according to the detection content.
It can be understood that different materials can be correspondingly provided with different detection strategies, and detection contents to be executed and sent to the electronic device are different.
Step S300: and receiving a detection result, and judging whether the detection result meets a preset range.
Specifically, after detecting the material according to the detection content received by the electronic device, the staff can transmit the detection result to the background server through the electronic device, and after receiving the detection result, the background server compares the detection result with a preset standard range to determine whether the material meets the requirement. For example, the material to be detected is a cable, and the content of the detection performed on the cable includes the cable diameter, the cable weight, the electrical property of the cable, and the like of the cable.
It should be noted that, according to different detection contents received by the electronic device, the staff detects the material manually or by using a detection device. Preferably, the detection device may be connected to the electronic device, so that the electronic device can send the detection result detected by the detection device to the backend server at the first time.
Step S400: and if the detection result is within a preset range, uploading and storing the detection result into the material information of the cloud database.
The electronic device in the next process can acquire the material information containing the detection result by identifying the electronic tag or the two-dimensional code.
Specifically, in the material detection process, when a material completes detection of one of the processes, the detection result data meeting the requirements are uploaded to the material information of the cloud database, so that the material can be detected in the next process, the electronic equipment in the next process can acquire the material information of the material through an electronic tag or a two-dimensional code for identifying the material, the material information at the moment contains the detection result of the previous process on the material, and a background server can conveniently make a corresponding detection strategy for the electronic equipment in the next process.
Step S500: and if the detection result is not in the preset range, refusing to upload the detection result to the cloud database, and sending prompt information to the electronic equipment.
Specifically, when the detection result is no longer within the preset range, it is indicated that the material does not meet the quality requirement, the product needs to be removed, and the prompt message is sent to the electronic device, so that the function of reminding a worker can be achieved. In the working process, if the detection result is found to be incapable of being uploaded and the prompt message sent by the background server is received, the worker can realize that the product is unqualified and needs to be rejected.
It can be understood that the prompt message may be a text message such as "product is not qualified", "detection is not qualified", and the like. Such warning mode, not only simple effective, it is also more intelligent moreover, can prevent effectively that the staff from putting into qualified product because of carelessness at the during operation in unqualified product.
It should be noted that after the material detection is completed, the staff needs to sequentially perform two uploading operations of uploading the detection result to the background server and uploading the detection result to the cloud database, and after the two uploading operations are completed, the staff needs to receive feedback information, otherwise, the electronic device cannot identify and detect the next material.
According to the intelligent material detection method, the material information read from the material by the electronic equipment is obtained; then according to the material information, sending detection content to be executed to the electronic equipment; meanwhile, receiving a detection result, and judging whether the detection result meets a preset range; if the detection result is within a preset range, uploading and storing the detection result into the material information of the cloud database; and if the detection result is not in the preset range, refusing to upload the detection result to the cloud database, and sending prompt information to the electronic equipment. According to the material detection method, the material information is stored in the cloud database, and meanwhile, the material information is obtained in a mode of identifying an electronic tag or scanning a two-dimensional code, so that the whole material detection process is more intelligent, electronic equipment in different detection procedures can conveniently and quickly obtain the material information, and the situations of missing detection and few detection of the material in the detection process are avoided; meanwhile, when unqualified products are detected, the detection result is uploaded to the cloud database and prompt information is sent to the electronic equipment in a mode of refusing, the function of reminding workers can be played, the workers are effectively prevented from being placed into the qualified products due to negligence during working, and therefore the quality of the products after detection is greatly improved.
The following will further explain an intelligent material detection method provided by the present invention with reference to a specific example.
Referring to fig. 2, on the basis of the first embodiment, fig. 2 is a schematic flowchart illustrating a specific flow of step S200 in an intelligent material detection method according to a second embodiment of the present invention; it should be noted that, in this embodiment, the material information includes a material identifier, a material quantity, and a material parameter. Step S200 specifically includes the following steps:
step S201: and judging the acquired material information.
Specifically, each material has a manually set material identifier before being detected, and the material quantity and the material parameters need to be obtained from an obtained detection result after the material is detected. Through judging material information, can learn whether the material has and carry out the material detection to and which material detection has carried out, so that formulate corresponding detection strategy.
Step S202: and if the material information only contains identification information, sending prompt information for detecting the material quantity and/or the material parameters to the electronic equipment.
It is understood that the material quantity and the material parameter can be detected together in one process or separately in different processes.
Step S203: and if the material information contains identification information and material quantity, sending prompt information for detecting material parameters to the electronic equipment.
Step S204: and if the material information contains identification information and material parameters, sending prompt information for detecting the material quantity to the electronic equipment.
In this embodiment, the material identifier includes a material number, a material model, and the like. The quantity of material refers to the number of materials, for example the number of cables in a box of cables to be tested. The material parameters include size parameters, quality parameters, performance parameters, etc., and it can be understood that different types of products correspond to different material parameters.
Referring to fig. 3, on the basis of the first embodiment, fig. 3 is a schematic flow chart illustrating an intelligent material detection method according to a third embodiment of the present invention; after step S500, the method further includes the following steps:
step S501: and recording the times that the detection result is not in a preset range as N within a preset time.
Specifically, the number of times that the detection result is not within the preset range is recorded, that is, the number of unqualified materials appearing within the preset time is recorded, so that the frequency of unqualified products appearing within unit time can be calculated, and the quality of products in different batches can be intuitively known.
Step S502: and judging the value of N, and if the value of N is larger than the preset value, controlling the electronic equipment to be in a locked state so that the electronic equipment can not execute the detection operation any more.
Specifically, within a preset time, when too many unqualified products appear on the same batch of materials, it is indicated that there is an obvious quality problem in the production process of the batch of products, and the detection operation needs to be stopped so that a manager can find out the reason for the high unqualified rate of the products and adjust the materials being produced, and then continue the detection operation. By the mode, the qualification rate of the product in the production process can be improved, and the production quality of the product is ensured.
Referring to fig. 4, on the basis of the first embodiment, fig. 4 is a schematic flow chart illustrating an intelligent material detection method according to a fourth embodiment of the present invention; after step S500, the method further includes the following steps:
step S503: and recording the times of continuously receiving the detection results out of the preset range as M.
Specifically, the number of times that the continuously received detection results are not within the preset range is recorded, that is, the number of continuously occurring unqualified materials is recorded, so that partial products with abnormal quality can be found out, and the reason for the abnormal quality of the products can be conveniently found out by checking codes and batches of the products.
Step S504: and judging the value of the M, and if the value of the M is larger than the preset value, controlling the electronic equipment to be in a locked state so that the electronic equipment can not execute the detection operation any more.
Specifically, when the detected products in the same batch continuously fail, it indicates that the products in the batch have an abnormality in the production process, and the detection operation needs to be stopped, so that the manager can find out the reason for the concentrated occurrence of the failed products. By the method, the production hidden danger in the production process of the product can be found out, the qualification rate of the product in the production process is favorably improved, and the production quality of the product is ensured.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an intelligent material detection system according to an embodiment of the present invention; the intelligent material detection system provided by the embodiment of the invention can be configured in a terminal or a server and used for executing the intelligent material detection method. The detection system includes:
the device comprises an acquisition unit 1, a storage unit and a processing unit, wherein the acquisition unit is used for acquiring material information read by electronic equipment from a material; the material information is stored in a cloud database, an electronic tag or a two-dimensional code is arranged on the material, and an access address of the material information is configured in the electronic tag or the two-dimensional code so that the electronic equipment can read the material information;
the sending unit 2 is used for sending detection contents to be executed to the electronic equipment according to the material information;
the judging unit 3 is used for receiving the detection result and judging whether the detection result meets a preset range;
the uploading unit 4 is used for uploading and storing the detection result into the material information of the cloud database when the detection result is within a preset range; the electronic equipment in the next process can acquire the material information containing the detection result by identifying the electronic tag or the two-dimensional code;
and the rejecting unit 5 is used for rejecting to upload the detection result to the cloud database and sending prompt information to the electronic equipment when the detection result is not within a preset range.
It should be noted that the material information includes material identification, material quantity, and material parameters.
Referring to fig. 6, the transmitting unit 2 includes:
a judging subunit 21, configured to judge the acquired material information;
the first sending subunit 22, configured to send prompt information for detecting the quantity and/or the material parameter of the material to the electronic device when the material information only includes the identification information;
the second sending subunit 23, configured to send prompt information for detecting the material parameter to the electronic device when the material information includes the identification information and the material quantity;
and a third sending subunit 24, configured to send prompt information for detecting the quantity of the material to the electronic device when the material information includes the identification information and the material parameter.
It should be noted that the detection system further includes:
the first recording unit is used for recording the times that the detection result is not in a preset range as N within preset time;
and the first control unit is used for judging the value of N, and controlling the electronic equipment to be in a locked state if the value of N is larger than the preset value, so that the electronic equipment can not execute the detection operation any more.
It should be noted that the detection system further includes:
the second recording unit is used for recording the times of continuously receiving the detection result out of a preset range as M;
and the second control unit is used for judging the value of the M, and controlling the electronic equipment to be in a locking state if the value of the M is larger than the preset value, so that the electronic equipment can not execute the detection operation any more.
It should be noted that, as will be clear to those skilled in the art, for convenience and brevity of description, the specific working processes of the apparatus and the units described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
It should be noted that, in the above embodiments, the included units are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
The apparatus described above may be implemented in the form of a computer program which is executable on a computer device.
The computer device may be a server or a terminal. Referring to fig. 7, fig. 7 is a schematic block diagram of a computer device according to an embodiment of the present invention. The computer equipment provided by the embodiment of the invention comprises a processor, a memory and a network interface which are connected through a system bus; the memory may include, among other things, a non-volatile storage medium and an internal memory.
The processor is used for providing calculation and control capability and supporting the operation of the whole terminal.
The non-volatile storage medium may store an operating system and a computer program. The computer program includes program instructions that, when executed, cause a processor to perform any of the above-described intelligent material detection methods.
The internal memory provides an environment for running a computer program in the non-volatile storage medium, and the computer program, when executed by the processor, causes the processor to perform any one of the intelligent material detection methods described above.
The network interface is used for network communication, such as sending assigned tasks and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It should be understood that the Processor may be a Central Processing Unit (CPU), and the Processor may be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, etc. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
It will be appreciated by those skilled in the art that the above-described configurations within a computer device are only some of the configurations relevant to the present application and do not constitute a limitation on the computer device to which the present application is applied, and a particular computer device may include more or less components than those described above, or may combine certain components, or have a different arrangement of components.
The embodiment of the application further provides a computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, the computer program comprises program instructions, and the processor executes the program instructions to implement any one of the intelligent material detection methods provided by the embodiments of the application. The program can include part or all of the steps in each embodiment of the intelligent material detection method provided by the invention when being executed.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, ROM/RAM, magnetic or optical disks, etc.) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus, and computer program products according to embodiments of the invention. 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 above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. An intelligent material detection method is characterized by comprising the following steps:
acquiring material information read by the electronic equipment from the material; the material information is stored in a cloud database, an electronic tag or a two-dimensional code is arranged on the material, and an access address of the material information is configured in the electronic tag or the two-dimensional code so that the electronic equipment can read the material information;
according to the material information, sending detection content to be executed to the electronic equipment;
receiving a detection result, and judging whether the detection result meets a preset range;
if the detection result is within a preset range, uploading and storing the detection result into the material information of the cloud database; the electronic equipment in the next process can acquire the material information containing the detection result by identifying the electronic tag or the two-dimensional code;
and if the detection result is not in the preset range, refusing to upload the detection result to the cloud database, and sending prompt information to the electronic equipment.
2. The intelligent material detection method of claim 1, wherein the material information comprises material identification, material quantity, and material parameters.
3. The intelligent material detection method according to claim 2, wherein the sending, to the electronic device, detection content to be executed according to the material information includes:
judging the obtained material information;
if the material information only contains identification information, sending prompt information for detecting the quantity and/or parameters of the materials to the electronic equipment;
if the material information contains identification information and material quantity, sending prompt information for detecting material parameters to the electronic equipment;
and if the material information contains identification information and material parameters, sending prompt information for detecting the material quantity to the electronic equipment.
4. The intelligent material detection method according to claim 1, wherein after the step of refusing to upload the detection result to the cloud database and sending a prompt message to the electronic device if the detection result is not within a preset range, the method further comprises:
recording the times that the detection result is not in a preset range as N within a preset time;
and judging the value of N, and if the value of N is larger than the preset value, controlling the electronic equipment to be in a locked state so that the electronic equipment can not execute the detection operation any more.
5. The intelligent material detection method according to claim 1, wherein after the step of refusing to upload the detection result to the cloud database and sending a prompt message to the electronic device if the detection result is not within a preset range, the method further comprises:
recording the number of times that the continuously received detection result is not in a preset range as M;
and judging the value of the M, and if the value of the M is larger than the preset value, controlling the electronic equipment to be in a locked state so that the electronic equipment can not execute the detection operation any more.
6. An intelligent material detection system, comprising:
the acquisition unit is used for acquiring material information read by the electronic equipment from the material; the material information is stored in a cloud database, an electronic tag or a two-dimensional code is arranged on the material, and an access address of the material information is configured in the electronic tag or the two-dimensional code so that the electronic equipment can read the material information;
the sending unit is used for sending detection contents to be executed to the electronic equipment according to the material information;
the judging unit is used for receiving the detection result and judging whether the detection result meets a preset range;
the uploading unit is used for uploading and storing the detection result into the material information of the cloud database when the detection result is within a preset range; the electronic equipment in the next process can acquire the material information containing the detection result by identifying the electronic tag or the two-dimensional code;
and the rejecting unit is used for rejecting to upload the detection result to the cloud database and sending prompt information to the electronic equipment when the detection result is not in a preset range.
7. The intelligent material detection system of claim 6, wherein the material information comprises material identification, material quantity, and material parameters.
8. The intelligent material detection system of claim 7, wherein the sending unit comprises:
the judging subunit is used for judging the acquired material information;
the first sending subunit is used for sending prompt information for detecting the quantity and/or parameters of the materials to the electronic equipment when the material information only contains identification information;
the second sending subunit is used for sending prompt information for detecting material parameters to the electronic equipment when the material information contains identification information and material quantity;
and the third sending subunit is used for sending prompt information for detecting the material quantity to the electronic equipment when the material information contains the identification information and the material parameters.
9. A computer device, wherein the computer device comprises a memory and a processor;
the memory is used for storing a computer program;
the processor is configured to execute the computer program and implement the intelligent material detection method according to any one of claims 1 to 5 when executing the computer program.
10. A readable storage medium, characterized in that the readable storage medium stores a computer program which, when executed by a processor, causes the processor to implement the intelligent material detection method according to any one of claims 1 to 5.
CN202111021131.4A 2021-09-01 2021-09-01 Intelligent material detection method and system Withdrawn CN113901849A (en)

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Application Number Priority Date Filing Date Title
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116907684A (en) * 2023-07-17 2023-10-20 大连铸云智能制造有限公司 Aluminum liquid temperature detection method and system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116907684A (en) * 2023-07-17 2023-10-20 大连铸云智能制造有限公司 Aluminum liquid temperature detection method and system

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