CN114372053A - Intelligent manufacturing equipment operation condition monitoring method, system, equipment and storage medium - Google Patents
Intelligent manufacturing equipment operation condition monitoring method, system, equipment and storage medium Download PDFInfo
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Abstract
The application relates to the field of data monitoring, in particular to a method, a system, equipment and a storage medium for monitoring the running condition of intelligent manufacturing equipment, wherein the method comprises the following steps: the method comprises the steps that the operation condition of intelligent manufacturing equipment is detected regularly to obtain first operation condition data; combining the first operation condition data to obtain second operation condition data; acquiring the second operation condition data, and performing table-splitting storage on the second operation condition data through a preset database to obtain an operation condition data storage table group; performing digital modulation on the second operation condition data in the operation condition data storage table group to generate modulation data; and acquiring and demodulating the modulation data to generate demodulation data, and decomposing the demodulation data to generate display data. This application has the effect of being convenient for promote monitoring facilities operational aspect efficiency.
Description
Technical Field
The present disclosure relates to the field of data monitoring, and in particular, to a method, a system, a device, and a storage medium for monitoring an operation condition of an intelligent manufacturing device.
Background
With the rapid development of information technology, various data parameters of equipment in a workshop can be remotely monitored and acquired, so that a user can remotely monitor the running condition of the equipment.
At present, data such as temperature data, electricity consumption data, status data and the like of equipment are generally detected, the detected data are stored in a data statistical table set in a database, and then a computer reads and processes the data in the data statistical table and further feeds back a processing result to a user.
In the process of implementing the present application, the inventors found that the above-mentioned technology has at least the following problems: when detecting the corresponding data of the equipment, not only the synchronous detection needs to be carried out on a large number of equipment at the same time, but also the detection needs to be carried out at regular intervals, so that a large number of detection data of each equipment arranged according to time sequence can be stored in a data statistical table in a database, and the computer searches the detection data of the equipment at one moment in the data statistical table and then feeds the searched detection data back to a user, so that the time consumption is relatively high, and the monitoring efficiency of the running condition of the intelligent manufacturing equipment in the prior art is relatively low.
Disclosure of Invention
In order to improve the efficiency of monitoring the running condition of equipment, the application provides a method, a system, equipment and a storage medium for monitoring the running condition of intelligent manufacturing equipment.
In a first aspect, the present application provides a method for monitoring an operation condition of an intelligent manufacturing device, which adopts the following technical scheme:
an intelligent manufacturing equipment operation condition monitoring method comprises the following steps: the method comprises the steps that the operation condition of intelligent manufacturing equipment is detected regularly to obtain first operation condition data;
combining the first operation condition data to obtain second operation condition data;
acquiring the second operation condition data, and performing table-splitting storage on the second operation condition data through a preset database to obtain an operation condition data storage table group;
performing digital modulation on the second operation condition data in the operation condition data storage table group to generate modulation data;
and acquiring and demodulating the modulation data to generate demodulation data, and decomposing the demodulation data to generate display data.
By adopting the technical scheme, the detected data of the intelligent manufacturing equipment is stored in the form of the sub-table, so that the data volume on a single data storage table is less, and a computer can retrieve the corresponding data more quickly; in addition, the data to be displayed is firstly digitally modulated and then sent to the channel, so that the transmission efficiency of the data to be displayed can be improved, and the efficiency of monitoring the running condition of the equipment is improved conveniently.
Preferably, the first operating condition data includes: the intelligent manufacturing equipment comprises intelligent manufacturing equipment opening and closing data, temperature data, three-phase voltage data, three-phase current data and power consumption data.
Through adopting above-mentioned technical scheme, through monitoring intelligent manufacturing equipment switching data, temperature data, three-phase voltage data, three-phase current data and power consumption data, the user of can being convenient for in time knows the operational aspect of equipment.
Preferably, the combining the first operation condition data to obtain the second operation condition data includes:
sequentially acquiring the opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data of the intelligent manufacturing equipment;
automatically generating a device identifier and a data spacer for linking different types of data in the first operating condition data;
and performing combined coding on the intelligent manufacturing equipment opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data, the power consumption data, the equipment identifier and the data interval symbol to generate second operation condition data.
By adopting the technical scheme, the specific intelligent manufacturing equipment which is detected except the opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the electricity consumption data of the workshop equipment is convenient to identify through the equipment identifier, the data of different types of the intelligent manufacturing equipment are convenient to be divided through the data interval symbol, the problem that the data of different types are mixed with each other is convenient to prevent, and the data of different types can be accurately identified by a computer.
Preferably, the performing the sub-table storage on the second operation condition data to obtain the operation condition data table group includes:
setting a plurality of data storage tables in the database according to the number of the intelligent manufacturing equipment;
and storing the second operating condition data of a plurality of intelligent manufacturing equipment in each data storage table according to time sequence, and recording the set of all the second operating condition data in each data storage table as an operating condition data storage table group.
By adopting the technical scheme, almost quantity of data of the intelligent manufacturing equipment are uniformly stored in each data storage table, so that the computer can quickly retrieve the data required to be retrieved, and the data retrieval efficiency of the computer is improved.
Preferably, the modulating the second operation condition data in the operation condition data storage table group to generate modulated data includes:
converting the second operation condition data in the operation condition data storage table group in a serial-parallel mode to generate third operation condition data and fourth operation condition data;
modulating the third operation condition data by a preset first carrier to generate first modulation data, and modulating the fourth operation condition data by a preset second carrier to generate second modulation data;
and combining the first modulation data and the second modulation data to generate the modulation data.
By adopting the technical scheme, the second operation condition data after the serial-parallel conversion is used for carrying out digital modulation on a group of mutually orthogonal carrier waves, so that the transmission efficiency of the second operation condition data is improved, the efficiency of monitoring the operation condition of the equipment is convenient to improve, and the transmission bandwidth is saved.
Preferably, the acquiring and demodulating the modulated data to generate demodulated data includes:
acquiring the modulation data;
digitally demodulating the modulated data by the first carrier and the second carrier to generate first demodulated data and second demodulated data;
and parallel-to-serial converting the first demodulated data and the second demodulated data to generate the demodulated data.
By adopting the technical scheme, the display equipment demodulates the modulated second operation data to generate demodulated data, and the demodulated data is consistent with the second operation condition data before modulation, so that the display equipment can further display the second operation condition data subsequently.
Preferably, the decomposing the demodulated data to generate display data includes:
distinguishing the intelligent manufacturing equipment corresponding to the demodulated data according to the equipment identifier;
and acquiring display data including the on-off data of the intelligent manufacturing equipment, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data in the demodulation data according to the data interval symbol.
By adopting the technical scheme, the received intelligent manufacturing equipment switching data, temperature data, three-phase voltage data, three-phase current data and power consumption data can be conveniently identified by the display equipment through the equipment identifier, and the intelligent manufacturing equipment switching data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data which are combined together can be conveniently separated and respectively identified through the data interval symbol.
In a second aspect, the present application provides an intelligent manufacturing device operation condition monitoring system, which adopts the following technical scheme:
an intelligent manufacturing equipment operational condition monitoring system, comprising:
the first operation condition data generation module is used for detecting the operation condition of the intelligent manufacturing equipment at regular time to obtain first operation condition data;
the second operation condition data generation module is used for carrying out combined processing on the first operation condition data to obtain second operation condition data;
the operation condition data storage table group acquisition module is used for acquiring the second operation condition data and performing table division storage on the second operation condition data through a database to obtain an operation condition data storage table group;
the modulation data acquisition module is used for carrying out digital modulation on the second operation condition data in the operation condition data storage table group to generate modulation data;
and the display data generation module is used for acquiring and demodulating the modulation data to generate demodulation data and decomposing the demodulation data to generate display data.
By adopting the technical scheme, the detected data of the intelligent manufacturing equipment is stored in the form of the sub-table, so that the data volume on a single data storage table is less, and a computer can retrieve the corresponding data more quickly; in addition, the data to be displayed is firstly digitally modulated and then transmitted, so that the transmission efficiency of the data to be displayed can be improved, and the efficiency of monitoring the running condition of the equipment is improved.
In a third aspect, the present application provides a computer device, which adopts the following technical solution: the intelligent manufacturing equipment operation condition monitoring system comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute any one of the intelligent manufacturing equipment operation condition monitoring methods.
By adopting the technical scheme, the detected data of the intelligent manufacturing equipment is stored in the form of the sub-table, so that the data volume on a single data storage table is less, and a computer can retrieve the corresponding data more quickly; in addition, the data to be displayed is firstly digitally modulated and then transmitted, so that the transmission efficiency of the data to be displayed can be improved, and the efficiency of monitoring the running condition of the equipment is improved.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions: a computer program capable of being loaded by a processor and executing any one of the above-mentioned methods for monitoring the operation condition of the intelligent manufacturing equipment is stored.
By adopting the technical scheme, the detected data of the intelligent manufacturing equipment is stored in the form of the sub-table, so that the data volume on a single data storage table is less, and a computer can retrieve the corresponding data more quickly; in addition, the data to be displayed is firstly digitally modulated and then transmitted, so that the transmission efficiency of the data to be displayed can be improved, and the efficiency of monitoring the running condition of the equipment is improved.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the detected data are respectively stored and processed and the detected data are transmitted to the display device by digital modulation, so that the efficiency of monitoring the running condition of the equipment is improved.
2. And the first carrier wave and the second carrier wave which are orthogonal to each other are digitally modulated by the second operation condition data after serial-parallel conversion, so that the speed of transmitting the second operation condition data is improved, and the transmission bandwidth is saved.
3. And adding an equipment identifier into the combined opening and closing data, temperature data, three-phase voltage data, three-phase current data and power consumption data of the intelligent manufacturing equipment, thereby being convenient for identifying a group of intelligent manufacturing equipment to which the opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data belong.
Drawings
Fig. 1 is a schematic flowchart of an operation condition monitoring method for an intelligent manufacturing apparatus in embodiment 1 of the present application.
Fig. 2 is a block diagram of an operation condition monitoring system of an intelligent manufacturing apparatus in embodiment 2 of the present application.
Description of reference numerals: 100. a first operating condition data generation module; 200. a second operating condition data generation module; 201. a monitoring data acquisition module; 202. a device identifier and data spacer generation module; 203. a combined encoding module; 300. an operation condition data storage table group acquisition module; 301. a data storage table setting module; 302. a second operating condition data storage module; 400. a modulation data acquisition module; 401. a serial-to-parallel conversion module; 402. a digital modulation module; 403. a modulation data generation module; 500. a display data generation module; 501. a modulation data acquisition module; 502. a digital demodulation module; 503. a demodulated data generating module; 504. an intelligent manufacturing device determination module; 505. and a display data acquisition module.
Detailed Description
The present application is described in further detail below with reference to figures 1-2.
Example 1
The embodiment 1 of the application discloses an intelligent manufacturing equipment operation condition monitoring method. Referring to fig. 1, the method for monitoring the operation condition of the intelligent manufacturing equipment comprises the following steps:
s100, detecting the operation condition of the intelligent manufacturing equipment at regular time to obtain first operation condition data.
Each intelligent manufacturing device in the factory workshop is provided with a temperature detector for detecting the temperature of the intelligent manufacturing device when the intelligent manufacturing device works; in addition, still be equipped with the three-phase electric energy meter that is used for detecting its power consumption data on every intelligent manufacturing equipment alone, can detect the three-phase voltage data, three-phase current data and the power consumption data of the intelligent manufacturing equipment who corresponds with it through the three-phase electric energy meter, can also learn the switching data that corresponds intelligent manufacturing equipment indirectly through the three-phase electric energy meter, switching data are used for the representation data to be in running condition or off state.
In the embodiment 1 of the present application, the preset time interval is 10s, and the detected data of the intelligent manufacturing equipment switching, the temperature, the three-phase voltage, the three-phase current, and the power consumption are recorded as the first operation condition data.
And S200, combining the first operation condition data to obtain second operation condition data.
S200 includes the following steps:
s201, sequentially acquiring opening and closing data, temperature data, three-phase voltage data, three-phase current data and power consumption data of the intelligent manufacturing equipment.
The temperature detector and the three-phase electric energy meter are in communication connection with the input end of a preset register, and the register is used for temporarily storing temperature data acquired by the temperature detector and intelligent manufacturing equipment switching data, three-phase voltage data, three-phase current data and power consumption data acquired by the three-phase electric energy meter; and sequentially storing the on-off data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data of the intelligent manufacturing equipment acquired in the step S100 into a register in a parallel-serial conversion mode.
S202, automatically generating a device identifier and a data spacer for connecting different types of data in the first operation condition data.
The output end of the register is in communication connection with an encoder, and an equipment identifier for identifying the intelligent manufacturing equipment can be generated through the encoder; in order to facilitate transmission of the intelligent manufacturing equipment switching data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data in the channel, and also in consideration of saving the number of the channel as much as possible, a group of intelligent manufacturing equipment switching data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data need to be combined together in a serial transmission mode.
S203, performing combined coding on the opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data, the power consumption data, the equipment identifier and the data interval symbol of the intelligent manufacturing equipment to generate second operation condition data.
The register and the encoder are connected in a serial communication mode, and the register sends a group of first operation condition data to the encoder in sequence after the register collects the group of first operation condition data. Before sending, the register sends a data sending signal to the encoder, and the encoder triggers the process for generating the equipment identifier to generate the equipment identifier for the group of first operation condition data after receiving the data sending signal. In an implementation, the device identifier is a set of binary strings, and the number of bits of the device identifier string is determined by the number of smart manufacturing devices. For example, if the number of the smart manufacturing devices is greater than 2 and not greater than 4, the number of the device identifier is 2, since the two-bit binary number may be formed into four cases of 00,01, 10, and 11, which may be respectively used to correspond to the smart manufacturing devices, or several cases may be selected from the two-bit binary number to correspond to the smart manufacturing devices, and the number of the device identifier may be obtained according to the above example.
After the encoder generates the equipment identifier for the intelligent manufacturing equipment corresponding to the received data transmission signal, then a group of intelligent manufacturing equipment opening and closing data, temperature data, three-phase voltage data, three-phase current data and power consumption data are received in sequence, then a data interval symbol is inserted between two adjacent data in the group of data, and the data interval symbol comprises 4 types: first, first data spacers 00,00,00 for spacing and connecting the opening and closing data and the temperature data of the smart manufacturing apparatus; second data spacers 00,01,00 for spacing and connecting the temperature data and the three-phase voltage data; third data spacers 00,10,00 for spacing and connecting the three-phase voltage data and the three-phase current data; fourth, a fourth data spacer 00,11,00 for spacing and connecting the three-phase voltage data and the three-phase current data.
The opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data of the intelligent manufacturing equipment are binary data, and each data has corresponding digits. The method comprises the steps that an encoder generates an equipment identifier corresponding to intelligent manufacturing equipment, and then encodes equipment opening and closing data, a first data interval symbol, temperature data, a second data interval symbol, three-phase voltage data, a third data interval symbol, three-phase current data, a fourth data interval symbol and power consumption data after the equipment identifier; the data thus encoded and combined is denoted as second operating condition data.
S300, second operation condition data are obtained, and the second operation condition data are subjected to table division storage through the database to obtain an operation condition data storage table group.
S301, setting a plurality of data storage tables in a database according to the number of the intelligent manufacturing equipment.
The output of each encoder is connected to the input of a concentrator for collecting the second operating condition data, in which a database for storing the second operating condition data is provided.
In order to facilitate a computer to quickly retrieve required monitoring data, a data storage manner in the prior art is not adopted, that is, all monitoring data are stored in one data storage table in a database, and the manner adopted in embodiment 1 of the present application is as follows: in the database, a plurality of data storage tables are preset, and each data storage table is only used for storing data storage tables of some intelligent manufacturing devices in all the intelligent manufacturing devices, so that the monitoring data of the intelligent manufacturing devices stored in each data storage table is greatly reduced compared with the prior art, and a computer can conveniently and quickly retrieve the required monitoring data.
S302, storing second operation condition data of a plurality of intelligent manufacturing devices in each data storage table according to time sequence, and recording the set of the data storage tables as an operation condition data storage table group.
In an implementation, each data storage table is indexed by time as a main key, the time interval is 10s, each time node corresponds to second operation condition data of a plurality of intelligent manufacturing equipment recorded in the data storage table, and a set of the data storage tables storing the second operation condition data in the database is recorded as an operation condition data storage table group.
And S400, carrying out digital modulation on the second operation condition data in the operation condition data storage table group to generate modulation data.
S401, converting the second operation condition data in the operation condition data storage table group in a serial-parallel mode to generate third operation condition data and fourth operation condition data.
And sequentially carrying out serial-parallel conversion on the second operation condition data in each operation condition data storage table group according to a time sequence through a serial-parallel converter, carrying out serial-parallel conversion on the second operation condition data into two paths of data, recording one path of data as third operation condition data, recording the other path of data as fourth operation condition data, and carrying out 1/2 on the binary code elements of the third operation condition data and the fourth operation condition data.
S402, modulating the third operation condition data through a preset first carrier to generate first modulation data, and modulating the fourth operation condition data through a preset second carrier orthogonal to the first carrier to generate second modulation data.
In order to improve the transmission rate of the second operation condition data, the preset first carrier wave can be digitally modulated by the third operation condition data to improve the transmission rate of the third operation condition data in the channel, and the preset second carrier wave can be digitally modulated by the fourth operation condition data to improve the transmission rate of the third operation condition data in the channel. The concentrator is provided with a digital modulator, and the digital modulation process is carried out through the digital modulator.
Further, in order to improve the frequency band utilization rate of the third operation condition data and the fourth operation condition data transmitted in the channel, in embodiment 1 of the present application, the first carrier uses a sine carrier, and the second carrier uses a cosine carrier, so that the first carrier and the second carrier can be orthogonal to each other, thereby achieving the purpose of saving the data transmission bandwidth of the second operation condition. And recording the data obtained by modulating the first carrier wave by the third operation condition data as first modulation data, and recording the data obtained by modulating the second carrier wave by the fourth operation condition data as second modulation data.
And S403, combining the first modulation data and the second modulation data to generate modulation data.
Each second operation condition data has the corresponding first modulation data and second modulation data, after the first modulation data and the second modulation data of the second operation condition data are obtained, the first modulation data and the second modulation data of the second operation condition data are subjected to combined operation to obtain modulation data, and the combined operation in embodiment 1 of the present application is logical addition operation.
S500, obtaining and demodulating the modulation data to generate demodulation data, and decomposing the demodulation data to generate display data.
S501, modulation data are obtained.
After the modulated data in S403 is obtained, the modulated data further needs to be sent to a data receiving end, where in embodiment 1 of the present application, the data receiving end is an ERP system of an enterprise, and the data receiving end is provided with a digital demodulator for receiving the modulated data.
S502, digitally demodulating the modulated data through the first carrier wave and the second carrier wave to generate first demodulated data and second demodulated data.
And a digital demodulator for receiving the modulated data is arranged at the data receiving end, and the digital demodulator generates a first carrier wave and a second carrier wave in a carrier recovery mode.
Next, the modulated data received by the digital demodulator is digitally demodulated, specifically, the modulated data further modulates the first carrier and filters with a low-pass filter to generate first demodulated data, while in parallel, the modulated data further modulates the second carrier and also filters with a low-pass filter to generate second demodulated data.
S503, the first demodulated data and the second demodulated data are parallel-to-serial converted to generate demodulated data.
And after first demodulation data and second demodulation data corresponding to the second operation condition data are obtained, parallel-serial conversion is carried out on the first demodulation data and the second demodulation data, then demodulation data are generated, and under the condition that the error rate is ideal, the obtained demodulation data are basically consistent with the second operation condition data, namely the demodulation data also sequentially comprise an equipment identifier, equipment opening and closing data, a first data interval symbol, temperature data, a second data interval symbol, three-phase voltage data, a third data interval symbol, three-phase current data, a fourth data interval symbol and power consumption data.
And S504, distinguishing the intelligent manufacturing equipment corresponding to the demodulation data according to the equipment identifier.
Since each intelligent manufacturing device generates its own device identifier through the encoder, the device identifier may be identified first by the ERP system to determine the intelligent manufacturing device to which the demodulated data corresponding to the device identifier belongs.
And S505, acquiring display data including on-off data, temperature data, three-phase voltage data, three-phase current data and power consumption data of the intelligent manufacturing equipment in the demodulation data according to the data interval symbol.
And then, sequentially identifying the intelligent manufacturing equipment opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data in the demodulated data according to the digits of various types of data in the demodulated data and the data interval symbols, storing the intelligent manufacturing equipment opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data which belong to different intelligent manufacturing equipment in an ERP system according to a time sequence, and recording the data stored in the ERP system as display data. Furthermore, the display data can be displayed on a display device in the ERP system in a list or statistical chart form for a user to browse, so that the user can monitor the operation condition of each device conveniently.
Fig. 1 is a schematic flow chart of a method for monitoring an operating condition of equipment in one embodiment. It should be understood that, although the steps in the flowchart of fig. 1 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows; the steps are not limited to be performed in the exact order disclosed, and steps may be performed in other orders, unless explicitly stated otherwise; and at least some of the steps in fig. 1 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
Example 2
The embodiment 2 of the application discloses an intelligent manufacturing equipment operation condition monitoring system. Referring to fig. 2, the system for monitoring the operation of the smart manufacturing apparatus includes:
the first operation condition data generating module 100 is configured to detect an operation condition of the intelligent manufacturing device at regular time to obtain first operation condition data.
The method comprises the steps that the first operation condition data generation module 100 detects the intelligent manufacturing equipment switching data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data of each intelligent manufacturing equipment at preset time intervals, and records the detected intelligent manufacturing equipment switching data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data as first operation condition data.
And a second operation condition data generating module 200, configured to perform combination processing on the first operation condition data to obtain second operation condition data.
The second operating condition data generating module 200 includes:
the monitoring data acquisition module 201 is used for sequentially acquiring opening and closing data, temperature data, three-phase voltage data, three-phase current data and power consumption data of the intelligent manufacturing equipment.
A device identifier and data spacer generation module 202 for automatically generating a device identifier and data spacers for linking different types of data in the first operating condition data.
And the combined coding module 203 is used for performing combined coding on the intelligent manufacturing equipment opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data, the power consumption data, the equipment identifier and the data interval symbol to generate second operation condition data.
An operating condition data storage table set acquisition module 300 for acquiring second operating condition data,
and performing table-splitting storage on the second operation condition data through the database to obtain an operation condition data storage table group.
The data storage table setting module 301 is configured to set a plurality of data storage tables in the database according to the number of the intelligent manufacturing devices.
And a second operation condition data storage module 302, configured to store second operation condition data of the plurality of intelligent manufacturing devices in each data storage table according to a time sequence, and record a set of the data storage tables as an operation condition data storage table group.
And a modulation data obtaining module 400, configured to digitally modulate the second operation condition data in the operation condition data storage table set to generate modulation data.
And a serial-to-parallel conversion module 401, configured to perform serial-to-parallel conversion on the second operation condition data in the operation condition data storage table group, so as to generate third operation condition data and fourth operation condition data.
The digital modulation module 402 is configured to modulate the third operation condition data by using a preset first carrier to generate first modulation data, and also modulate the fourth operation condition data by using a preset second carrier orthogonal to the first carrier to generate second modulation data.
A modulation data generating module 403, configured to combine the first modulation data and the second modulation data to generate modulation data.
And a display data generating module 500, configured to acquire and demodulate the modulation data to generate demodulated data, and decompose the demodulated data to generate display data.
A modulation data obtaining module 501, configured to obtain modulation data.
The digital demodulation module 502 is configured to perform digital demodulation on the modulated data through the first carrier and the second carrier to generate first demodulated data and second demodulated data.
A demodulated data generating module 503, configured to parallel-to-serial convert the first demodulated data and the second demodulated data to generate demodulated data.
And an intelligent manufacturing device determining module 504, configured to distinguish the intelligent manufacturing device corresponding to the demodulated data according to the device identifier.
And the display data acquisition module 505 is configured to acquire display data including the on-off data of the intelligent manufacturing equipment, the temperature data, the three-phase voltage data, the three-phase current data, and the power consumption data in the demodulated data according to the data interval symbol.
Example 3
In this embodiment 3, a computer device is disclosed, which includes a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method for monitoring the operation condition of the intelligent manufacturing device. Here, the steps of the method for monitoring the operation condition of the intelligent manufacturing equipment may be steps of a method for monitoring the operation condition of the intelligent manufacturing equipment in the above embodiments.
Example 4
In this embodiment 4, a computer-readable storage medium is disclosed, which stores a computer program that can be loaded by a processor and executes the above-mentioned method for monitoring the operation condition of the intelligent manufacturing equipment, and the computer-readable storage medium includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The present embodiment is only for explaining the present invention, and it is not limited to the present invention, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present invention.
Claims (10)
1. The method for monitoring the running condition of the intelligent manufacturing equipment is characterized by comprising the following steps of: the method comprises the following steps:
the method comprises the steps that the operation condition of intelligent manufacturing equipment is detected regularly to obtain first operation condition data;
combining the first operation condition data to obtain second operation condition data;
acquiring the second operation condition data, and performing table-splitting storage on the second operation condition data through a preset database to obtain an operation condition data storage table group;
performing digital modulation on the second operation condition data in the operation condition data storage table group to generate modulation data;
and acquiring and demodulating the modulation data to generate demodulation data, and decomposing the demodulation data to generate display data.
2. The method for monitoring the operation condition of the intelligent manufacturing equipment according to claim 1, wherein the method comprises the following steps: the first operating condition data comprises: the intelligent manufacturing equipment comprises intelligent manufacturing equipment opening and closing data, temperature data, three-phase voltage data, three-phase current data and power consumption data.
3. The intelligent manufacturing equipment operation condition monitoring method according to claim 2, wherein: the step of performing combination processing on the first operation condition data to obtain second operation condition data includes:
sequentially acquiring the opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data of the intelligent manufacturing equipment;
automatically generating a device identifier and a data spacer for linking different types of data in the first operating condition data;
and performing combined coding on the intelligent manufacturing equipment opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data, the power consumption data, the equipment identifier and the data interval symbol to generate second operation condition data.
4. The intelligent manufacturing equipment operation condition monitoring method according to claim 3, wherein: the obtaining of the operation condition data storage table group by performing table-division storage on the second operation condition data includes:
setting a plurality of data storage tables in the database according to the number of the intelligent manufacturing equipment;
and storing the second operating condition data of a plurality of intelligent manufacturing equipment in each data storage table according to time sequence, and recording the set of the data storage tables as an operating condition data storage table group.
5. The intelligent manufacturing equipment operation condition monitoring method according to claim 4, wherein: the modulating the second operation condition data in the operation condition data storage table group to generate modulated data includes:
converting the second operation condition data in the operation condition data storage table group in a serial-parallel mode to generate third operation condition data and fourth operation condition data;
modulating the third operation condition data by a preset first carrier to generate first modulation data, and modulating the fourth operation condition data by a preset second carrier orthogonal to the first carrier to generate second modulation data;
and combining the first modulation data and the second modulation data to generate the modulation data.
6. The method of claim 5, wherein: the acquiring and demodulating the modulated data to generate demodulated data includes:
acquiring the modulation data;
digitally demodulating the modulated data by the first carrier and the second carrier to generate first demodulated data and second demodulated data;
and parallel-to-serial converting the first demodulated data and the second demodulated data to generate the demodulated data.
7. The intelligent manufacturing equipment operation condition monitoring method according to claim 6, wherein: the decomposing the demodulated data to generate display data includes:
distinguishing the intelligent manufacturing equipment corresponding to the demodulated data according to the equipment identifier;
and acquiring display data including the on-off data of the intelligent manufacturing equipment, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data in the demodulation data according to the data interval symbol.
8. The utility model provides an intelligence manufacture equipment operational aspect monitoring system which characterized in that: the method comprises the following steps:
the system comprises a first operation condition data generation module (100) for detecting the operation condition of the intelligent manufacturing equipment at regular time to obtain first operation condition data;
a second operation condition data generation module (200) for performing combination processing on the first operation condition data to obtain second operation condition data;
the operation condition data storage table group acquisition module (300) is used for acquiring the second operation condition data and performing table division storage on the second operation condition data through a preset database to obtain an operation condition data storage table group;
a modulation data acquisition module (400) for digitally modulating the second operation condition data in the operation condition data storage table set to generate modulation data;
and the display data generation module (500) is used for acquiring and demodulating the modulation data to generate demodulation data and decomposing the demodulation data to generate display data.
9. A computer device comprising a memory and a processor, the memory having stored thereon a computer program that can be loaded by the processor and that implements the method of monitoring the operation of a smart manufacturing device as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program that can be loaded by a processor and executes the method for monitoring the operation of an intelligent manufacturing apparatus according to any one of claims 1 to 7.
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