CN115018476B - Electromechanical equipment installation intelligent early warning method and device based on big data scene - Google Patents
Electromechanical equipment installation intelligent early warning method and device based on big data scene Download PDFInfo
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- 230000002159 abnormal effect Effects 0.000 claims description 6
- 238000004590 computer program Methods 0.000 claims description 6
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- 238000004378 air conditioning Methods 0.000 description 1
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- G—PHYSICS
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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
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- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K19/00—Record carriers for use with machines and with at least a part designed to carry digital markings
- G06K19/06—Record carriers for use with machines and with at least a part designed to carry digital markings characterised by the kind of the digital marking, e.g. shape, nature, code
- G06K19/067—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components
- G06K19/07—Record carriers with conductive marks, printed circuits or semiconductor circuit elements, e.g. credit or identity cards also with resonating or responding marks without active components with integrated circuit chips
- G06K19/077—Constructional details, e.g. mounting of circuits in the carrier
- G06K19/07749—Constructional details, e.g. mounting of circuits in the carrier the record carrier being capable of non-contact communication, e.g. constructional details of the antenna of a non-contact smart card
- G06K19/07758—Constructional details, e.g. mounting of circuits in the carrier the record carrier being capable of non-contact communication, e.g. constructional details of the antenna of a non-contact smart card arrangements for adhering the record carrier to further objects or living beings, functioning as an identification tag
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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
- G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
- G06K7/10821—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices
- G06K7/10831—Arrangement of optical elements, e.g. lenses, mirrors, prisms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B31/00—Predictive alarm systems characterised by extrapolation or other computation using updated historic data
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- 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
Abstract
The invention relates to the technical field of intelligent early warning, and discloses an electromechanical equipment installation intelligent early warning method and device based on a big data scene, wherein the method comprises the following steps: the method comprises the steps of determining an equipment installation process and a component installation position according to an electromechanical component structure, determining a target code scanning area and assembling a multi-lens electronic code scanning instrument according to the component installation position, pasting a component identification code on a component to be installed, installing the component to be identified on an equipment installation base, identifying the component identification code by using the multi-lens electronic code scanning instrument to obtain component installation information, calculating early warning data by using electromechanical big data and an early warning formula according to the component installation information, and performing electromechanical installation early warning according to the early warning data and an early warning rule. The invention also provides an electromechanical equipment installation intelligent early warning device based on the big data scene. The invention can solve the problems of high concealment of component error installation and low component installation efficiency of the installation mode of the electromechanical equipment.
Description
Technical Field
The invention relates to the technical field of intelligent early warning, in particular to an electromechanical device installation intelligent early warning method and device based on a big data scene.
Background
The installation work of the electromechanical equipment is strong in professional, the requirement on the technical level of workers is high, and therefore the installation work needs to be continuously optimized in the installation process of the electromechanical equipment.
The installation of the electromechanical equipment at present mainly completes the installation work of the electromechanical equipment by specifying the installation flow of an installer and the specific steps of installing each component. The installation correctness of the installed electromechanical equipment is judged subjectively by an installer, and the installation mode of the electromechanical equipment has the problems of high concealment of wrong installation of components, low component installation efficiency and the like.
Disclosure of Invention
The invention provides an electromechanical equipment installation intelligent early warning method and device based on a big data scene, and mainly aims to solve the problems of high concealment of component misinstallation and low component installation efficiency of an electromechanical equipment installation mode.
In order to achieve the above object, the present invention provides an intelligent pre-warning method for electromechanical device installation based on big data scene, which comprises:
receiving the functional requirements of the electromechanical equipment, and designing an electromechanical component structure according to the functional requirements of the electromechanical equipment;
constructing an equipment installation process according to the electromechanical component structure, and determining component installation positions of all components in the electromechanical part structure;
determining a target code scanning area of each part according to the part mounting position, and assembling a multi-lens electronic code scanner according to the target code scanning area;
acquiring an equipment installation base and a plurality of components to be installed, and pasting a pre-constructed component identification code to the components to be installed to obtain the components to be identified;
according to the equipment installation process, sequentially installing the components to be identified on the equipment installation base, and sequentially identifying the component identification code of each component to be identified by using the multi-lens electronic code scanner according to the installation sequence of the components to be identified to obtain component installation information;
according to the component installation information, utilizing pre-constructed electromechanical big data and an early warning formula in an electromechanical equipment database to calculate early warning data of the electromechanical equipment; the early warning formula is as follows:
wherein the Attention 1 Represents first warning data, i represents the number of days of production, k represents the number of days of cumulative production, f (code) k ) Code representing the cumulative yield of current production k Indicating the current part code, predict k Predicted production, attention, indicating the number of days accumulated in current production 2 Representing second warning data, order now Indicating a currently installed sequence of equipment parts, order sum Representing a sequence of equipment components scheduled for installation;
and performing electromechanical installation early warning on the user according to the early warning data and the pre-constructed early warning rule.
Optionally, the determining a target code scanning area of each component according to the component mounting position includes:
determining the relative installation area of each component according to the installation position of each component and the volume of each component;
determining an absolute mounting area of each component in the electromechanical equipment according to a preset electromechanical equipment mounting fixed point and the relative mounting area;
and setting a target code scanning area of each component in the absolute installation area of each component.
Optionally, the assembling the multi-lens electronic code scanner according to the target code scanning area includes:
determining a relative code scanning area of each component according to the target code scanning area of each component;
and assembling the multi-lens electronic code scanner according to the pre-constructed code scanning fixed point of the electromechanical equipment and the relative code scanning area, wherein each electronic lens in the multi-lens electronic code scanner correspondingly scans each target code scanning area respectively.
Optionally, the pasting the pre-built part identification code to the part to be installed to obtain the part to be identified includes:
determining a target code sticking area of each part according to the target code scanning area of each part;
constructing a corresponding relation between each component to be installed and the component identification code to obtain an exclusive component identification code of each component to be installed;
and pasting the exclusive part identification code to a target code pasting area of a corresponding part to obtain the part to be identified.
Optionally, the calculating, according to the component installation information, the early warning data of the electromechanical device by using electromechanical big data and an early warning formula in a pre-constructed electromechanical device database includes:
extracting a current component code in the component mounting information;
identifying a current production lot from the current component code;
extracting a production plan and an equipment component sequence of the current production batch from the electromechanical big data according to the current production batch and the current component code;
and calculating the early warning data of the electromechanical equipment by using the early warning formula according to the current component code, the production plan of the current production batch and the equipment component sequence.
Optionally, the performing electromechanical installation early warning on the user according to the early warning data and the pre-established early warning rule includes:
judging whether the production condition of the electromechanical equipment meets the early warning formula or not according to the early warning data;
if the production condition of the electromechanical equipment meets the early warning formula, no early warning is carried out on the user;
and if the production condition of the electromechanical equipment does not meet the early warning formula, early warning the user according to the early warning rule.
Optionally, sequentially installing the to-be-identified component on the equipment installation base according to the equipment installation process includes:
fixing the equipment installation base according to the electromechanical equipment installation fixing point to obtain a fixed equipment installation base;
and sequentially installing the parts to be identified on the fixed equipment installation base according to the equipment installation flow.
In order to solve the above problems, the present invention further provides an intelligent pre-warning device for electromechanical device installation based on big data scene, the device includes:
the component mounting position determining module is used for receiving the functional requirements of the electromechanical equipment and designing an electromechanical component structure according to the functional requirements of the electromechanical equipment; constructing an equipment installation process according to the electromechanical component structure, and determining component installation positions of all components in the electromechanical part structure;
the multi-lens electronic code scanner assembly module is used for determining a target code scanning area of each part according to the part installation position and assembling the multi-lens electronic code scanner according to the target code scanning area;
the device comprises a component mounting information extraction module, a component mounting information acquisition module and a component recognition module, wherein the component mounting information extraction module is used for acquiring an equipment mounting base and a plurality of components to be mounted, and pasting a pre-constructed component recognition code to the components to be mounted to obtain the components to be recognized; sequentially installing the components to be identified on the equipment installation base according to the equipment installation flow, and sequentially identifying the component identification code of each component to be identified by using the multi-lens electronic code scanner according to the installation sequence of the components to be identified to obtain component installation information;
the early warning data calculation module is used for calculating early warning data of the electromechanical equipment by utilizing electromechanical big data and an early warning formula in a pre-constructed electromechanical equipment database according to the component installation information;
and the electromechanical installation early warning module is used for carrying out electromechanical installation early warning on a user according to the early warning data and the pre-constructed early warning rule.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to implement the above-mentioned electromechanical device installation intelligent early warning method based on big data scenario.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, where at least one instruction is stored in the computer-readable storage medium, and the at least one instruction is executed by a processor in an electronic device to implement the above intelligent warning method for electromechanical device installation based on big data scenario.
Compared with the background art: the installation mode of the electromechanical device has the phenomena of high concealment of component wrong installation and low component installation efficiency, the embodiment of the invention can determine the component installation position of each component in the electromechanical device according to the structure of the electromechanical component, and then determine the target code scanning area of each component according to the component installation position, so that a multi-lens electronic code scanning instrument can be assembled according to the target code scanning area, the multi-lens electronic code scanning instrument can acquire the component installation information of the currently installed component in real time, the component installation information is obtained by scanning the component identification code of the component to be identified, after the component installation information is obtained, the early warning data of the electromechanical device can be calculated according to electromechanical big data and an early warning formula, and finally, electromechanical installation early warning is carried out on a user according to the early warning data and a pre-constructed early warning rule. Therefore, the electromechanical equipment installation intelligent early warning method and device based on the big data scene, the electronic equipment and the computer readable storage medium can solve the problems of high concealment of component wrong installation and low component installation efficiency of the installation mode of the electromechanical equipment.
Drawings
Fig. 1 is a schematic flowchart of an intelligent early warning method for electromechanical device installation based on a big data scene according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart showing a detailed implementation of one of the steps in FIG. 1;
FIG. 3 is a schematic flow chart showing another step of FIG. 1;
fig. 4 is a functional block diagram of an intelligent early warning device installed on an electromechanical device based on a big data scene according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device for implementing the intelligent early warning method for electromechanical device installation based on a big data scene according to an embodiment of the present invention.
In the figure: 1-an electronic device; 10-a processor; 11-a memory; 12-a bus; 13-a communication interface; 100-installing an intelligent early warning device on electromechanical equipment based on a big data scene; 101-a component mounting position determining module; 102-a multi-lens electronic code scanner assembly module; 103-component mounting information extraction module; 104-early warning data calculation module; 105-electromechanical installation of the early warning module.
The objects, features and advantages of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
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 embodiment of the application provides an electromechanical device installation intelligent early warning method based on a big data scene. The execution subject of the intelligent early warning method for electromechanical device installation based on big data scene includes but is not limited to at least one of electronic devices such as a server and a terminal, which can be configured to execute the method provided by the embodiment of the present application. In other words, the electromechanical device installation intelligent early warning method based on the big data scene can be executed by software or hardware installed in a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.
Example 1:
referring to fig. 1, a schematic flow chart of an electromechanical device installation intelligent early warning method based on a big data scene according to an embodiment of the present invention is shown. In this embodiment, the intelligent early warning method for electromechanical device installation based on big data scene includes:
s1, receiving the functional requirements of electromechanical equipment, and designing an electromechanical component structure according to the functional requirements of the electromechanical equipment.
In the embodiment of the invention, the electromechanical equipment can be industrial equipment, electric automation equipment, hydraulic or pneumatic equipment, refrigeration and air-conditioning equipment, environmental protection machinery, logistics machine type equipment, a diesel engine, a pump, a valve, a fan, a compressor, ship auxiliary equipment, ship electrical equipment and the like. When the electromechanical device is an air conditioner, the functional requirements can be functions of top air outlet, transverse air sweeping and the like.
S2, constructing an equipment installation process according to the electromechanical component structure, and determining the component installation positions of all components in the electromechanical part structure.
In the embodiment of the present invention, after the structure of the electromechanical component is determined, the mounting process of each component can be determined, and generally, the mounting process is performed according to the structure of the electromechanical component from bottom to top. When the structure of the electromechanical component is determined, the mounting position of each component is further determined.
And S3, determining a target code scanning area of each part according to the part installation position, and assembling the multi-lens electronic code scanning instrument according to the target code scanning area.
Explicably, the target code scanning area refers to a code scanning area of a two-dimensional code or a bar code that determines information of each component. The target code scanning area is determined by taking the convenient code scanning as a standard, and the target code scanning area of each part is towards the scanning direction of the multi-lens electronic code scanner.
It should be understood that the multi-lens electronic code scanner is composed of a plurality of code scanning lenses, and can scan two-dimensional codes at a plurality of positions. The number of lenses in the multi-lens electronic code scanner can be determined according to the number of parts of the electromechanical device, and each part corresponds to one code scanning lens. Each code scanning lens in the multi-lens electronic code scanning instrument faces the target code scanning area, and code scanning is convenient.
In detail, referring to fig. 2, the determining the target code scanning area of each component according to the component mounting position includes:
s31, determining relative mounting areas of the components according to the mounting positions of the components and the volumes of the components;
s32, determining absolute installation areas of all components in the electromechanical equipment according to a preset electromechanical equipment installation fixed point and the relative installation area;
and S33, setting a target code scanning area of each component in the absolute installation area of each component.
It can be understood that, due to the different volumes of the various components, the occupied location areas of the various components in the electromechanical device will also be different, and the relative installation areas refer to the installation areas of the various components in the electromechanical device that are opposite to each other.
Explicably, the electromechanical device mounting fixing point refers to a position where each component of the electromechanical device is fixedly mounted, for example: in a factory assembly line for installing the air conditioner, each component is provided with a fixed installation position, when the mobile installation vehicle runs to the electromechanical equipment installation fixed point of each component, the mobile installation vehicle stops running and enables a user to install the component corresponding to a station, when the user finishes installing the component at the position, the mobile installation vehicle is restarted, the installation of the next component is continued, and the like. The mobile installation vehicle can carry the equipment installation base, and when the mobile installation vehicle runs to each component installation station, each component is sequentially installed and fixed on the equipment installation base according to the equipment installation flow.
It will be appreciated that when the electromechanical device mounting attachment points are determined, the absolute mounting areas of the various components can be determined based on the relative mounting areas. The target code scanning area may be set according to the size of a two-dimensional code or a barcode for identifying each component and an absolute mounting area of each component.
In an embodiment of the present invention, the assembling the multi-lens electronic code scanner according to the target code scanning area includes:
determining a relative code scanning area of each component according to the target code scanning area of each component;
and assembling the multi-lens electronic code scanner according to the pre-constructed code scanning fixed point of the electromechanical equipment and the relative code scanning area, wherein each electronic lens in the multi-lens electronic code scanner correspondingly scans each target code scanning area respectively.
Explicably, the relative code scanning areas refer to relative areas of the target code scanning areas of the respective components. When the electromechanical equipment code scanning fixed point and the relative code scanning area are determined, the absolute position of the target code scanning area of each part can be determined, the installation position of the multi-lens electronic code scanning instrument can be set according to the absolute position, when the electromechanical equipment is installed in a production line mode, the corresponding multi-lens electronic code scanning instrument is installed on each station, and at the moment, the number of lenses of the multi-lens electronic code scanning instrument can be increased or decreased according to needs.
And S4, acquiring an equipment installation base and a plurality of to-be-installed components, and pasting a pre-constructed component identification code to the to-be-installed components to obtain the to-be-identified components.
The part identification code can be interpreted to be associated with information such as part code of the corresponding part. By scanning the component identification code, information such as a component name, a component function, a component mounting position, and a mounting area of a barcode or a two-dimensional code of the component can be acquired.
In detail, referring to fig. 3, the attaching the pre-built part identification code to the part to be mounted to obtain the part to be identified includes:
s41, determining a target code sticking area of each part according to the target code scanning area of each part;
s42, establishing a corresponding relation between each component to be installed and the component identification code to obtain an exclusive component identification code of each component to be installed;
s43, pasting the exclusive part identification code to a target code pasting area of a corresponding part to obtain the part to be identified.
Explainably, when the installed component is a compressor, the target code-scanning area can be a middle area of a compressor tank, and the target code-adhering area is in the middle area, since the lens position of the multi-lens electronic code scanner is fixed, the target code-adhering area of each component should be at the same position of the corresponding component.
And S5, sequentially installing the components to be identified on the equipment installation base according to the equipment installation process, and sequentially identifying the component identification code of each component to be identified according to the installation sequence of the components to be identified by using the multi-lens electronic code scanner to obtain component installation information.
It should be understood that the component mounting information may be information related to a component code, production lot information, and a component mounting position of the component.
In an embodiment of the present invention, the sequentially mounting the to-be-identified component on the equipment mounting base according to the equipment mounting process includes:
fixing the equipment installation base according to the electromechanical equipment installation fixing point to obtain a fixed equipment installation base;
and sequentially installing the parts to be identified on the fixed equipment installation base according to the equipment installation flow.
Explainably, when the installation mode of the part to be identified is the assembly line, the equipment installation base can be fixed on the mobile installation vehicle, when the mobile installation vehicle runs to a certain station, the mobile installation vehicle automatically stops, other parts can be continuously installed and fixed on the equipment installation base, and when the electromechanical equipment is installed completely, the fixation between the equipment installation base and the mobile installation vehicle can be released.
And S6, according to the component installation information, utilizing the electromechanical big data and the early warning formula in the pre-constructed electromechanical equipment database to calculate the early warning data of the electromechanical equipment.
In detail, the electromechanical device database refers to a database storing production data of the electromechanical devices. The electromechanical big data refers to relevant data such as electromechanical devices of each production batch, component codes of all components in the electromechanical devices of the production batch, production plans of the electromechanical devices of the batch, component installation orders (identified by the component codes) of the electromechanical devices of the batch, and responsible persons corresponding to all the components of the electromechanical devices.
In detail, the early warning formula is as follows:
wherein the early warning formula is as follows:
wherein, the Attention 1 Represents first warning data, i represents the number of days of production, k represents the number of days of cumulative production, f (code) k ) Code representing the cumulative yield of current production k Indicating the current part code, predict k Predicted production, attention, indicating the number of days accumulated in current production 2 Representing second warning data, order now Indicating the sequence of currently installed equipment parts, order sum Representing a sequence of equipment components scheduled for installation.
Interpretable, the first early warning data refers to data for early warning of the production progress of the electromechanical equipment, and the second early warning data refers to data for early warning of the installation sequence and installation correctness of electromechanical equipment components. The first warning data may monitor the production progress of the electromechanical devices of the current production batch, and when the current component code of the current mounted component is obtained, the number of the mounted electromechanical devices of the current production batch may be calculated according to the current component code, for example: when the number of the parts of the electromechanical equipment is 100, the part code of one part of one electromechanical equipment is 56, the code of the same part of the next electromechanical equipment is 156, so that the number of the installed electromechanical equipment can be known through the current part code, and when the current part code is 906, the number of the installed electromechanical equipment is 9. The device component sequence may be obtained from a component encoding arrangement, for example: when the current component code is 97, then the current device component sequence is 1, 2. When the electromechanical device is planned to produce 100 pieces, and the number of parts of each electromechanical device is 100, the planned installed device part sequence is 1, 2,. 10000.
Understandably, the second warning data can indicate whether the currently installed component is installed correctly, such as: when the device installation process of the mechatronic device is determined, the installation order of each component in each mechatronic device is also determined, for example: when the part number of the first mounted part of the first electromechanical device is 1 and the part number of the electromechanical device is 100, the part number of the 3 rd part of the second electromechanical device is 103. Therefore, when each component is installed, the component identification code of the component can be scanned to determine the component code of the component, the installed equipment component sequence is identified through the component code of the component, whether the currently installed component is installed correctly can be known through comparing the installed equipment component sequence with the planned installed equipment component sequence in the electromechanical big data, and when the installed equipment component sequence is in the planned installed equipment component sequence and the sequence is correct, the currently installed component is installed correctly.
In an embodiment of the present invention, the calculating, according to the component installation information, the early warning data of the electromechanical device by using the electromechanical big data and the early warning formula in the pre-constructed electromechanical device database includes:
extracting a current component code in the component mounting information;
identifying a current production lot according to the current component code;
extracting a production plan and an equipment component sequence of the current production batch from the electromechanical big data according to the current production batch and the current component code;
and calculating the early warning data of the electromechanical equipment by using the early warning formula according to the current component code, the production plan of the current production batch and the equipment component sequence.
Explainably, when the production plan is to produce 50 machines per day, and the number of parts of the electromechanical device per day is 100, then the sequence of parts of the device during the next day off duty should be greater than or equal to 10000.
And S7, performing electromechanical installation early warning on the user according to the early warning data and the pre-constructed early warning rule.
In the embodiment of the present invention, the performing electromechanical installation early warning on a user according to the early warning data and the pre-established early warning rule includes:
judging whether the production condition of the electromechanical equipment meets the early warning formula or not according to the early warning data;
if the production condition of the electromechanical equipment meets the early warning formula, no early warning is carried out on the user;
and if the production condition of the electromechanical equipment does not meet the early warning formula, early warning the user according to the early warning rule.
Explainably, the early warning rule may be that when the second early warning data is abnormal, a first-level warning plan is immediately started to prevent all installation errors of the following components. And when the first early warning data is abnormal, starting a secondary warning plan to prompt the next working day to improve the yield.
Compared with the background art: the installation mode of the electromechanical device has the phenomena of high concealment of component wrong installation and low component installation efficiency, the embodiment of the invention can determine the component installation position of each component in the electromechanical device according to the structure of the electromechanical component, and then determine the target code scanning area of each component according to the component installation position, so that a multi-lens electronic code scanning instrument can be assembled according to the target code scanning area, the multi-lens electronic code scanning instrument can acquire the component installation information of the currently installed component in real time, the component installation information is obtained by scanning the component identification code of the component to be identified, after the component installation information is obtained, the early warning data of the electromechanical device can be calculated according to electromechanical big data and an early warning formula, and finally, electromechanical installation early warning is carried out on a user according to the early warning data and a pre-constructed early warning rule. Therefore, the electromechanical equipment installation intelligent early warning method and device based on the big data scene, the electronic equipment and the computer readable storage medium can solve the problems of high concealment of component wrong installation and low component installation efficiency of the installation mode of the electromechanical equipment.
Example 2:
fig. 4 is a functional block diagram of an intelligent warning device installed on an electromechanical device based on a big data scene according to an embodiment of the present invention.
The intelligent early warning device 100 for electromechanical device installation based on big data scene can be installed in electronic equipment. According to the realized functions, the electromechanical device installation intelligent early warning device 100 based on the big data scene may include a component installation position determining module 101, a multi-lens electronic code scanner assembling module 102, a component installation information extracting module 103, an early warning data calculating module 104, and an electromechanical installation early warning module 105. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
The component mounting position determining module 101 is configured to receive a functional requirement of an electromechanical device, and design an electromechanical component structure according to the functional requirement of the electromechanical device; constructing an equipment installation process according to the electromechanical component structure, and determining component installation positions of all components in the electromechanical part structure;
the multi-lens electronic code scanner assembling module 102 is configured to determine a target code scanning area of each component according to the component mounting position, and assemble a multi-lens electronic code scanner according to the target code scanning area;
the component mounting information extraction module 103 is configured to obtain an equipment mounting base and a plurality of components to be mounted, and paste a pre-constructed component identification code onto the components to be mounted to obtain the components to be identified; according to the equipment installation process, sequentially installing the components to be identified on the equipment installation base, and sequentially identifying the component identification code of each component to be identified by using the multi-lens electronic code scanner according to the installation sequence of the components to be identified to obtain component installation information;
the early warning data calculation module 104 is configured to calculate early warning data of the electromechanical device according to the component installation information by using electromechanical big data and an early warning formula in a pre-constructed electromechanical device database;
and the electromechanical installation early warning module 105 is used for carrying out electromechanical installation early warning on a user according to the early warning data and the pre-constructed early warning rule.
In detail, in the embodiment of the present invention, when the modules in the intelligent early warning apparatus 100 for electromechanical device installation based on a big data scene are used, the same technical means as the above intelligent early warning method for electromechanical device installation based on a big data scene in fig. 1 are used, and the same technical effects can be produced, which is not described herein again.
Example 3:
fig. 5 is a schematic structural diagram of an electronic device for implementing an intelligent early warning method for electromechanical device installation based on a big data scene according to an embodiment of the present invention.
The electronic device 1 may include a processor 10, a memory 11, a bus 12 and a communication interface 13, and may further include a computer program stored in the memory 11 and executable on the processor 10, such as a smart warning program installed on an electromechanical device based on a big data scenario.
The memory 11 includes at least one type of readable storage medium, which includes flash memory, removable hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disk, optical disk, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device 1, such as a removable hard disk of the electronic device 1. The memory 11 may also be an external storage device of the electronic device 1 in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device 1. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device 1. The memory 11 may be used to store not only application software installed in the electronic device 1 and various types of data, such as codes of an electromechanical device installation intelligent early warning program in a big data scene, but also temporarily store data that has been output or will be output.
The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same or different functions, including one or more Central Processing Units (CPUs), microprocessors, digital Processing chips, graphics processors, and combinations of various control chips. The processor 10 is a Control Unit of the electronic device, connects various components of the whole electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device 1 by running or executing programs or modules (for example, an electromechanical device installation intelligent warning program based on a big data scene, etc.) stored in the memory 11 and calling data stored in the memory 11.
The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
Fig. 5 only shows an electronic device with components, and it will be understood by a person skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or a combination of certain components, or a different arrangement of components.
For example, although not shown, the electronic device 1 may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so as to implement functions of charge management, discharge management, power consumption management, and the like through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device 1 may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
Further, the electronic device 1 may further include a network interface, and optionally, the network interface may include a wired interface and/or a wireless interface (such as a WI-FI interface, a bluetooth interface, etc.), which are generally used to establish a communication connection between the electronic device 1 and another electronic device.
Optionally, the electronic device 1 may further comprise a user interface, which may be a Display (Display), an input unit (such as a Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable for displaying information processed in the electronic device 1 and for displaying a visualized user interface, among other things.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The electromechanical device installation intelligent early warning program based on big data scene stored in the memory 11 of the electronic device 1 is a combination of a plurality of instructions, and when running in the processor 10, it can implement:
receiving the functional requirements of the electromechanical equipment, and designing an electromechanical component structure according to the functional requirements of the electromechanical equipment;
constructing an equipment installation process according to the electromechanical component structure, and determining component installation positions of all components in the electromechanical part structure;
determining a target code scanning area of each component according to the component mounting position, and assembling a multi-lens electronic code scanner according to the target code scanning area;
acquiring an equipment installation base and a plurality of components to be installed, and pasting a pre-constructed component identification code to the components to be installed to obtain the components to be identified;
sequentially installing the components to be identified on the equipment installation base according to the equipment installation flow, and sequentially identifying the component identification code of each component to be identified by using the multi-lens electronic code scanner according to the installation sequence of the components to be identified to obtain component installation information;
according to the component installation information, utilizing pre-constructed electromechanical big data and an early warning formula in an electromechanical equipment database to calculate early warning data of the electromechanical equipment;
and performing electromechanical installation early warning on the user according to the early warning data and the pre-constructed early warning rule.
Specifically, the specific implementation method of the processor 10 for the instruction may refer to the description of the relevant steps in the embodiments corresponding to fig. 1 to fig. 4, which is not repeated herein.
Further, the integrated modules/units of the electronic device 1 may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as stand-alone devices. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, a recording medium, a usb-disk, a removable hard disk, a magnetic diskette, an optical disk, a computer Memory, a Read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
receiving the functional requirements of the electromechanical equipment, and designing an electromechanical component structure according to the functional requirements of the electromechanical equipment;
constructing an equipment installation process according to the electromechanical component structure, and determining component installation positions of all components in the electromechanical part structure;
determining a target code scanning area of each part according to the part mounting position, and assembling a multi-lens electronic code scanner according to the target code scanning area;
acquiring an equipment installation base and a plurality of components to be installed, and pasting a pre-constructed component identification code to the components to be installed to obtain the components to be identified;
according to the equipment installation process, sequentially installing the components to be identified on the equipment installation base, and sequentially identifying the component identification code of each component to be identified by using the multi-lens electronic code scanner according to the installation sequence of the components to be identified to obtain component installation information;
according to the component installation information, utilizing electromechanical big data and an early warning formula in a pre-constructed electromechanical equipment database to calculate early warning data of the electromechanical equipment;
and performing electromechanical installation early warning on the user according to the early warning data and the pre-constructed early warning rule.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (10)
1. An electromechanical device installation intelligent early warning method based on big data scene is characterized by comprising the following steps:
receiving the functional requirements of the electromechanical equipment, and designing an electromechanical component structure according to the functional requirements of the electromechanical equipment;
constructing an equipment installation process according to the electromechanical component structure, and determining component installation positions of all components in the electromechanical part structure;
determining a target code scanning area of each part according to the part mounting position, and assembling a multi-lens electronic code scanner according to the target code scanning area;
acquiring an equipment installation base and a plurality of components to be installed, and pasting a pre-constructed component identification code to the components to be installed to obtain the components to be identified;
sequentially installing the components to be identified on the equipment installation base according to the equipment installation flow, and sequentially identifying the component identification code of each component to be identified by using the multi-lens electronic code scanner according to the installation sequence of the components to be identified to obtain component installation information;
according to the component installation information, utilizing pre-constructed electromechanical big data and an early warning formula in an electromechanical equipment database to calculate early warning data of the electromechanical equipment, wherein the early warning formula is as follows:
wherein the Attention 1 Indicating first warning data, i indicating the number of days of production, k indicating the number of days of cumulative current production, f (code) k ) Code representing the cumulative yield of current production k Indicating the current part code, predict k Indicating cumulative days of current productionPredicted yield, attention 2 Representing second warning data, order now Indicating a currently installed sequence of equipment parts, order sum Representing a sequence of equipment components scheduled for installation;
performing electromechanical installation early warning on a user according to the early warning data and pre-constructed early warning rules; the first early warning data refers to data for early warning the production progress of the electromechanical equipment; the second early warning data refers to data for early warning of the installation sequence and installation correctness of the electromechanical equipment components; the first early warning data monitors the production progress of the electromechanical equipment of the current production batch; the second early warning data indicates whether the current mounting component is correctly mounted; when the current component code of the current installation component is obtained, calculating the number of installed electromechanical devices of the current production batch according to the current component code; the early warning rule is that when the second early warning data is abnormal, a first-level warning plan is immediately started to prevent all the following components from being installed wrongly; and when the first early warning data is abnormal, starting a secondary warning plan to prompt that the yield is increased in the next working day.
2. The intelligent early warning method for electromechanical device installation based on big data scene as claimed in claim 1, wherein said determining the target code scanning area of each component according to the component installation position comprises:
determining the relative installation area of each component according to the installation position of each component and the volume of each component;
determining absolute installation areas of all components in the electromechanical equipment according to a preset electromechanical equipment installation fixed point and the relative installation area;
and setting a target code scanning area of each component in the absolute installation area of each component.
3. The intelligent pre-warning method for electromechanical device installation based on big data scene as claimed in claim 2, wherein said assembling multi-lens electronic code scanner according to said target code scanning area comprises:
determining a relative code scanning area of each component according to the target code scanning area of each component;
and assembling the multi-lens electronic code scanner according to the pre-constructed code scanning fixed point of the electromechanical equipment and the relative code scanning area, wherein each electronic lens in the multi-lens electronic code scanner correspondingly scans each target code scanning area respectively.
4. The electromechanical device installation intelligent early warning method based on big data scene as claimed in claim 2, wherein said pasting the pre-constructed part identification code to the part to be installed to obtain the part to be identified comprises:
determining a target code sticking area of each part according to the target code scanning area of each part;
constructing a corresponding relation between each component to be installed and the component identification code to obtain an exclusive component identification code of each component to be installed;
and pasting the exclusive part identification code to a target code pasting area of the corresponding part to obtain the part to be identified.
5. The intelligent early warning method for electromechanical device installation based on big data scene as claimed in claim 1, wherein said calculating early warning data of said electromechanical device according to said component installation information by using electromechanical big data and early warning formula in pre-constructed electromechanical device database comprises:
extracting a current component code in the component mounting information;
identifying a current production lot from the current component code;
extracting a production plan and an equipment component sequence of the current production batch from the electromechanical big data according to the current production batch and the current component code;
and calculating the early warning data of the electromechanical equipment by using the early warning formula according to the current component code, the production plan of the current production batch and the equipment component sequence.
6. The electromechanical device installation intelligent early warning method based on big data scene as claimed in claim 5, wherein said performing electromechanical installation early warning to the user according to the early warning data and pre-constructed early warning rules comprises:
judging whether the production condition of the electromechanical equipment meets the early warning formula or not according to the early warning data;
if the production condition of the electromechanical equipment meets the early warning formula, no early warning is carried out on the user;
and if the production condition of the electromechanical equipment does not meet the early warning formula, early warning the user according to the early warning rule.
7. The electromechanical device installation intelligent early warning method based on big data scene as claimed in claim 4, wherein said installing the parts to be identified to the device installation base in sequence according to the device installation process comprises:
fixing the equipment installation base according to the electromechanical equipment installation fixing point to obtain a fixed equipment installation base;
and sequentially installing the parts to be identified on the fixed equipment installation base according to the equipment installation flow.
8. The utility model provides an electromechanical device installation intelligence early warning device based on big data scene which characterized in that, the device includes:
the component mounting position determining module is used for receiving the functional requirements of the electromechanical equipment and designing an electromechanical component structure according to the functional requirements of the electromechanical equipment; constructing an equipment installation process according to the electromechanical component structure, and determining component installation positions of all components in the electromechanical part structure;
the multi-lens electronic code scanner assembly module is used for determining a target code scanning area of each part according to the part installation position and assembling the multi-lens electronic code scanner according to the target code scanning area;
the component mounting information extraction module is used for acquiring an equipment mounting base and a plurality of components to be mounted, and pasting a pre-constructed component identification code to the components to be mounted to obtain the components to be identified; according to the equipment installation process, sequentially installing the components to be identified on the equipment installation base, and sequentially identifying the component identification code of each component to be identified by using the multi-lens electronic code scanner according to the installation sequence of the components to be identified to obtain component installation information;
the early warning data calculation module is used for calculating early warning data of the electromechanical equipment by utilizing electromechanical big data and an early warning formula in a pre-constructed electromechanical equipment database according to the component installation information; wherein the early warning formula is as follows:
wherein the Attention 1 Indicating first warning data, i indicating the number of days of production, k indicating the number of days of cumulative current production, f (code) k ) Code representing the cumulative yield of current production k Indicating the current part code, predict k Predicted production, attention, indicating the number of days accumulated in current production 2 Representing second warning data, order now Indicating a currently installed sequence of equipment parts, order sum Representing a sequence of equipment components scheduled for installation;
the electromechanical installation early warning module is used for carrying out electromechanical installation early warning on a user according to the early warning data and pre-constructed early warning rules; the first early warning data refers to data for early warning the production progress of the electromechanical equipment; the second early warning data refers to data for early warning of the installation sequence and installation correctness of the electromechanical equipment components; the first early warning data monitors the production progress of the electromechanical equipment of the current production batch; the second early warning data indicates whether the current mounting component is correctly mounted; when the current component code of the current installation component is obtained, calculating the number of installed electromechanical equipment of the current production batch according to the current component code; the early warning rule is that when the second early warning data is abnormal, a first-level alarm plan is immediately started to prevent all the following components from being installed wrongly; and when the first early warning data is abnormal, starting a secondary warning plan to prompt that the yield is increased in the next working day.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the electromechanical device installation intelligent warning method in a big data scenario as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the intelligent pre-warning method for electromechanical device installation based on big data scenario as claimed in any one of claims 1 to 7.
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