CN114372053B - 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 present application relates to the field of data monitoring, and in particular, to a method, a system, a device, and a storage medium for monitoring an operating condition of an intelligent manufacturing device, where the method includes: the method comprises the steps of detecting the operation condition of intelligent manufacturing equipment at fixed time 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 sub-table 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 obtaining and demodulating the modulation data to generate demodulation data, and decomposing the demodulation data to generate display data. The application has the effect of being convenient for promote monitoring facilities running situation efficiency.
Description
Technical Field
The present disclosure relates to the field of data monitoring, and in particular, to a method, system, device, and storage medium for monitoring an operating 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 data, state data and the like of equipment are generally detected, the detected data are stored in a data statistics table arranged in a database, and then a computer reads and processes the data in the data statistics table and further feeds back the processed result to a user.
In carrying out the present application, the inventors have found that the above-described technique has at least the following problems: when corresponding data of the equipment are detected, synchronous detection is needed to be carried out on a large number of equipment at the same time, and the equipment is needed to be detected once at regular intervals, so that a large number of detection data of each equipment which are arranged in time sequence are stored in a data statistics table in a database, and the computer consumes time after searching the detection data of the equipment at one moment in the data statistics table and feeds the searched detection data back to a user, so that the monitoring efficiency of the operation condition of the intelligent manufacturing equipment in the prior art is low.
Disclosure of Invention
In order to facilitate improving the efficiency of monitoring the running condition of equipment, the application provides an intelligent manufacturing equipment running condition monitoring method, an intelligent manufacturing equipment running condition monitoring system, intelligent manufacturing equipment running condition monitoring equipment and a storage medium.
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 of detecting the operation condition of intelligent manufacturing equipment at fixed time 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 sub-table 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 obtaining 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 are stored in the sub-table, so that the data amount on a single data storage table is less, and a computer can conveniently and quickly retrieve corresponding data; in addition, the data to be displayed is 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 the operation condition of the monitoring equipment can be improved conveniently.
Preferably, the first operation condition data includes: the intelligent manufacturing equipment comprises opening and closing data, temperature data, three-phase voltage data, three-phase current data and electricity consumption data.
By adopting the technical scheme, the intelligent manufacturing equipment is monitored by the on-off data, the temperature data, the three-phase voltage data, the three-phase current data and the power consumption data, so that a user can know the running condition of the equipment in time conveniently.
Preferably, the combining 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 electricity consumption data of the intelligent manufacturing equipment;
automatically generating a device identifier and a data spacer for connecting different types of data in the first operation condition data;
and carrying out 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 electricity consumption data, the equipment identifier and the data spacer to generate second running condition data.
By adopting the technical scheme, the specific intelligent manufacturing equipment to which the detected workshop equipment opening and closing data, temperature data, three-phase voltage data, three-phase current data and electricity consumption data belong is conveniently identified through the equipment identifier, and different types of data of the intelligent manufacturing equipment are conveniently separated through the data spacer, so that the problem of mutual mixing of the different types of data is conveniently prevented, and the computer can accurately identify the different types of data.
Preferably, the performing sub-table storage on the second operation condition data to obtain an operation condition data table set includes:
setting a plurality of data storage tables in the database according to the quantity of the intelligent manufacturing equipment;
and storing the second operation condition data of a plurality of intelligent manufacturing equipment according to a time sequence in each data storage table, and recording a set of all the second operation condition data in each data storage table as an operation condition data storage table group.
By adopting the technical scheme, the data of the intelligent manufacturing equipment with almost the same quantity are uniformly stored in each data storage table, so that a computer can conveniently and rapidly retrieve the data 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 set generates modulated data, which includes:
converting the second operation condition data in the operation condition data storage table group in a serial-parallel manner to generate third operation condition data and fourth operation condition data;
modulating the third operation condition data through a preset first carrier wave to generate first modulation data, and modulating the fourth operation condition data through a preset second carrier wave to generate second modulation data;
the first modulation data and the second modulation data are combined to generate the modulation data.
Through adopting above-mentioned technical scheme, use the second operation condition data after the serial-parallel conversion to carry out digital modulation to a set of mutually orthogonal carrier wave, not only promoted the transmission efficiency of second operation condition data, and then be convenient for promote the efficiency of monitoring facilities operation condition, but also saved transmission bandwidth.
Preferably, the acquiring and demodulating the modulated data generates demodulated data, including:
acquiring the modulation data;
performing digital demodulation on the modulated data through the first carrier wave and the second carrier wave to generate first demodulated data and second demodulated data;
and generating the demodulation data by parallel-serial converting the first demodulation data and the second demodulation data.
By adopting the technical scheme, the display device demodulates the modulated second operation data to generate demodulation data, and the demodulation data is consistent with the second operation condition data before modulation, so that the second operation condition data can be further displayed by the display device conveniently.
Preferably, the decomposing the demodulation data to generate display data includes:
distinguishing the intelligent manufacturing equipment corresponding to the demodulation data according to the equipment identifier;
and acquiring display data including 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 demodulation data according to the data spacers.
By adopting the technical scheme, the display equipment can conveniently identify the received intelligent manufacturing equipment switching data, temperature data, three-phase voltage data, three-phase current data and power consumption data belonging to the intelligent manufacturing equipment through the equipment identifier, and the intelligent manufacturing equipment switching data, temperature data, three-phase voltage data, three-phase current data and power consumption data which are combined together can be conveniently separated through the data spacer and respectively identified.
In a second aspect, the present application provides an intelligent manufacturing equipment operation condition monitoring system, which adopts the following technical scheme:
an intelligent manufacturing facility operational monitoring system, comprising:
the first operation condition data generation module is used for detecting the operation condition of the intelligent manufacturing equipment at fixed time to obtain first operation condition data;
the second operation condition data generation module is used for carrying out combination processing on the first operation condition data to obtain second operation condition data;
the running condition data storage table group acquisition module is used for acquiring the second running condition data, and performing sub-table storage on the second running condition data through a database to acquire a running 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 modulated 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 are stored in the sub-table, so that the data amount on a single data storage table is less, and a computer can conveniently and quickly retrieve corresponding data; in addition, the data to be displayed can be modulated and sent in advance, so that the transmission efficiency of the data to be displayed can be improved, and the efficiency of the operation condition of the monitoring equipment can be improved conveniently.
In a third aspect, the present application provides a computer device, which adopts the following technical scheme: the intelligent manufacturing equipment operation condition monitoring system comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and can execute any intelligent manufacturing equipment operation condition monitoring method.
By adopting the technical scheme, the detected data of the intelligent manufacturing equipment are stored in the sub-table, so that the data amount on a single data storage table is less, and a computer can conveniently and quickly retrieve corresponding data; in addition, the data to be displayed can be modulated and sent in advance, so that the transmission efficiency of the data to be displayed can be improved, and the efficiency of the operation condition of the monitoring equipment can be improved conveniently.
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-described intelligent manufacturing apparatus operation condition monitoring methods is stored.
By adopting the technical scheme, the detected data of the intelligent manufacturing equipment are stored in the sub-table, so that the data amount on a single data storage table is less, and a computer can conveniently and quickly retrieve corresponding data; in addition, the data to be displayed can be modulated and sent in advance, so that the transmission efficiency of the data to be displayed can be improved, and the efficiency of the operation condition of the monitoring equipment can be improved conveniently.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the detected data of the intelligent manufacturing equipment are processed in a mode of respectively storing the detected data and transmitting the detected data to the display device by using digital modulation, so that the efficiency of monitoring the running condition of the equipment is improved.
2. And the serial-parallel converted second operation condition data are subjected to digital modulation on the first carrier wave and the second carrier wave which are mutually orthogonal, so that the rate of transmitting the second operation condition data is improved conveniently, and the transmission bandwidth is saved.
3. And adding the device identifier into the combined intelligent manufacturing device opening and closing data, temperature data, three-phase voltage data, three-phase current data and electricity consumption data, so that a group of intelligent manufacturing devices to which the intelligent manufacturing device opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the electricity consumption data belong can be conveniently identified.
Drawings
Fig. 1 is a schematic flow chart of a method for monitoring the operation condition of an intelligent manufacturing apparatus in embodiment 1 of the present application.
Fig. 2 is a block diagram of an intelligent manufacturing apparatus operation monitoring system according to embodiment 2 of the present application.
Reference numerals illustrate: 100. a first operation condition data generation module; 200. a second operation condition data generation module; 201. a monitoring data acquisition module; 202. a device identifier and data spacer generation module; 203. a combination coding module; 300. the running condition data storage table group acquisition module; 301. a data storage table setting module; 302. a second operational situation data storage module; 400. a modulation data acquisition module; 401. a serial-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 demodulation data generation module; 504. an intelligent manufacturing equipment determining module; 505. and a display data acquisition module.
Detailed Description
The present application is described in further detail below in conjunction with 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 intelligent manufacturing apparatus operation condition monitoring method includes:
s100, detecting the operation condition of the intelligent manufacturing equipment at fixed 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, the three-phase electric energy meter used for detecting electricity consumption data of each intelligent manufacturing device is further independently arranged on each intelligent manufacturing device, three-phase voltage data, three-phase current data and electricity consumption data of the intelligent manufacturing device corresponding to each intelligent manufacturing device can be detected through the three-phase electric energy meter, opening and closing data of the corresponding intelligent manufacturing device can be indirectly obtained through the three-phase electric energy meter, and the opening and closing data are used for representing whether the data are in an operating state or a shutdown state.
In implementation, the intelligent manufacturing apparatus switching data, the temperature data, the three-phase voltage data, the three-phase current data, and the electricity consumption data of each intelligent manufacturing apparatus are detected every preset time interval, and in embodiment 1 of the present application, the preset time interval is 10s, and each detected intelligent manufacturing apparatus switching data, temperature data, three-phase voltage data, three-phase current data, and electricity consumption data are recorded as the first operation condition data.
S200, combining the first operation condition data to obtain second operation condition data.
S200 includes the steps of:
s201, sequentially acquiring opening and closing data, temperature data, three-phase voltage data, three-phase current data and electricity consumption data of the intelligent manufacturing equipment.
The temperature detector and the three-phase electric energy meter are both 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 opening and closing data, three-phase voltage data, three-phase current data and electricity consumption data acquired by the three-phase electric energy meter; and sequentially storing 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 intelligent manufacturing equipment acquired by the 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 running condition data.
The output end of the register is connected with an encoder in a communication way, and a device identifier for identifying the intelligent manufacturing device can be generated through the encoder; in order to facilitate the transmission of the intelligent manufacturing equipment switching data, the temperature data, the three-phase voltage data, the three-phase current data and the electricity consumption data in the channels, and also in order to save the number of the channels 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 electricity consumption data are combined together in a serial transmission mode, in the process of transmitting the group of data, in order to facilitate the distinguishing of the group of data, data spacers are needed to be inserted between different data, the data spacers are generated by an encoder, and the data spacers generated by the encoder can be inserted between different types of data through the encoder to distinguish and connect the different types of data.
S203, the intelligent manufacturing equipment opening and closing data, temperature data, three-phase voltage data, three-phase current data, electricity consumption data, equipment identifiers and data spacers are combined and encoded to generate second operation condition data.
The register and the encoder adopt a serial communication connection mode, and after a group of first operation condition data is collected, the register sequentially sends the group of first operation condition data to the encoder at one time. Before transmission, the register transmits a data transmission signal to the encoder, and the encoder triggers the process of generating the device identifier to generate a device identifier for the set of first operation condition data after receiving the data transmission 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 intelligent manufacturing devices. For example, if the number of smart manufacturing devices is greater than 2 and not greater than 4, the number of bits of the device identifier is 2, because the two-bit bins may form four cases of 00,01, 10, and 11, which may be used to correspond to the smart manufacturing devices, respectively, or several cases may be selected to correspond to the smart manufacturing devices, and the number of bits of the device identifier may be analogized according to the above example.
After the encoder generates a device identifier for the intelligent manufacturing device corresponding to the received data transmission signal, sequentially receiving a group of intelligent manufacturing device switching data, temperature data, three-phase voltage data, three-phase current data and electricity consumption data, and inserting a data spacer between two adjacent data in the group of data, wherein the data spacer comprises 4 types: first, a first data spacer 00,00,00 for spacing and connecting the smart manufacturing device opening and closing data and the temperature data; second, a second data spacer 00,01,00 for spacing and connecting the temperature data and the three-phase voltage data; third, a third data spacer 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 intelligent manufacturing equipment opening and closing data, the temperature data, the three-phase voltage data, the three-phase current data and the electricity consumption data are all binary data, and each data has a corresponding bit number. The encoder generates a device identifier corresponding to the intelligent manufacturing device, and then encodes device opening and closing data, a first data spacer, temperature data, a second data spacer, three-phase voltage data, a third data spacer, three-phase current data, a fourth data spacer and electricity consumption data sequentially after the device identifier; the data thus encoded and combined is noted as second operation condition data.
S300, acquiring second operation condition data, and performing sub-table storage on the second operation condition data through a 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 intelligent manufacturing equipment.
The output of each encoder is connected to the input of a concentrator for gathering the second operating condition data, the concentrator having a database for storing the second operating condition data.
In order to facilitate the computer to quickly retrieve the required monitoring data, the data storage method in the prior art is not adopted, that is, all the monitoring data are stored in a data storage table in the database, and the method adopted in embodiment 1 of the 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 the data storage tables of part of intelligent manufacturing equipment in all intelligent manufacturing equipment, so that the monitoring data stored in each data storage table for the intelligent manufacturing equipment is greatly reduced compared with the prior art, and a computer is convenient to retrieve required monitoring data more quickly.
S302, storing second operation condition data of a plurality of intelligent manufacturing equipment in each data storage table according to a time sequence, and marking a set of the data storage tables as an operation condition data storage table group.
In the implementation, each data storage table is indexed by taking time as a primary key, the time interval is 10s, second operation condition data of a plurality of intelligent manufacturing devices recorded in the data storage table correspond to each time node, and a set of a plurality of data storage tables storing the second operation condition data in a database is recorded as an operation condition data storage table group.
S400, carrying out digital modulation on 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 the serial-parallel converter sequentially serial-parallel converts the second operation condition data in each operation condition data storage table group according to a time sequence, serial-parallel converts the second operation condition data into two paths of data, one path of data is recorded as third operation condition data, the other path of data is recorded as fourth operation condition data, and the binary symbol numbers of the third operation condition data and the fourth operation condition data are 1/2 of the second operation condition data.
S402, modulating third operation condition data through a preset first carrier wave to generate first modulation data, and modulating fourth operation condition data through a preset second carrier wave which is orthogonal to the first carrier wave to generate second modulation data.
In order to facilitate the improvement of 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 in addition, 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 by 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, thereby achieving the purpose of saving the transmission bandwidth of the second operation condition data. And the data modulated by the third operation condition data on the first carrier wave is recorded as first modulation data, and the data modulated by the fourth operation condition data on the second carrier wave is recorded as second modulation data.
S403, combining the first modulation data and the second modulation data to generate modulation data.
Each second operation condition data has 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 combination operation to obtain modulation data, and the combination operation in embodiment 1 of the present application is logic addition operation.
S500, obtaining and demodulating the modulation data to generate demodulation data, and decomposing the demodulation data to generate display data.
S501, obtaining modulation data.
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 a digital demodulator for receiving the modulated data is disposed at the data receiving end.
S502, digital demodulation is carried out on the modulated data through a first carrier wave and a second carrier wave to generate first demodulation data and second demodulation data.
The data receiving end is provided with a digital demodulator for receiving the modulated data, and the digital demodulator generates a first carrier wave and a second carrier wave in a carrier wave recovery mode.
Next, the modulated data received by the digital demodulator is digitally demodulated, specifically, the modulated data further modulates the first carrier wave and filters the first carrier wave by using the low-pass filter to generate first demodulated data, and simultaneously, the modulated data further modulates the second carrier wave and filters the second carrier wave by using the low-pass filter to generate second demodulated data.
S503, the first demodulation data and the second demodulation data are subjected to parallel-serial conversion to generate demodulation data.
After the first demodulation data and the second demodulation data corresponding to the second operation condition data are obtained, parallel-to-serial conversion is carried out on the first demodulation data and the second demodulation data, then demodulation data are generated, and under the ideal condition of error rate comparison, the obtained demodulation data are basically consistent with the second operation condition data, namely the demodulation data also sequentially comprise a device identifier, device opening and closing data, a first data spacer, temperature data, a second data spacer, three-phase voltage data, a third data spacer, three-phase current data, a fourth data spacer and electricity consumption data.
S504, distinguishing the intelligent manufacturing equipment corresponding to the demodulation data according to the equipment identifier.
Since each smart manufacturing device generates its own device identifier via the encoder, the device identifier may be first identified by the ERP system to determine the smart manufacturing device to which the demodulated data corresponding to the device identifier belongs.
S505, display data including intelligent manufacturing equipment opening and closing data, temperature data, three-phase voltage data, three-phase current data and electricity consumption data are obtained from the demodulation data according to the data spacers.
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 demodulation data according to the bit number and the data spacer of various types of data in the demodulation data, 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 belonging to different intelligent manufacturing equipment in an ERP system according to time sequence, and recording the data stored in the ERP system as display data. Further, the display data can be displayed on display equipment in the ERP system in a list or statistical diagram mode for users to browse, so that the operation condition of each equipment can be monitored conveniently by the users.
FIG. 1 is a flow chart of a method for monitoring the operation of a device in one embodiment. It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows; the steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders; and at least some of the steps in fig. 1 may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the sub-steps or stages are performed necessarily occur in sequence, but may be performed alternately or alternately with at least some of the other steps or sub-steps of other steps.
Example 2
Embodiment 2 of the application discloses an intelligent manufacturing equipment operation condition monitoring system. Referring to fig. 2, the intelligent manufacturing facility operation monitoring system includes:
the first operation condition data generation module 100 is configured to detect the operation condition of the intelligent manufacturing apparatus at regular time to obtain first operation condition data.
The intelligent manufacturing apparatus switching data, the temperature data, the three-phase voltage data, the three-phase current data, and the electricity consumption data of each intelligent manufacturing apparatus are detected once every preset time interval by the first operation condition data generation module 100, and each detected intelligent manufacturing apparatus switching data, temperature data, three-phase voltage data, three-phase current data, and electricity consumption data is recorded as first operation condition data.
And the second operation condition data generation module 200 is configured to perform a combination process on the first operation condition data to obtain second operation condition data.
The second operation condition data generation module 200 includes:
the monitoring data acquisition module 201 is configured to sequentially acquire opening and closing data, temperature data, three-phase voltage data, three-phase current data and power consumption data of the intelligent manufacturing device.
The device identifier and data spacer generation module 202 is configured to automatically generate a device identifier and a data spacer for connecting different types of data in the first runtime data.
The combination encoding module 203 is configured to perform combination encoding on the intelligent manufacturing apparatus switching data, the temperature data, the three-phase voltage data, the three-phase current data, the electricity consumption data, the apparatus identifier, and the data spacer, and generate second operation condition data.
The operation condition data storage table group acquisition module 300 is configured to acquire second operation condition data,
and performing sub-table 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 intelligent manufacturing apparatuses.
The second operation condition data storage module 302 is configured to store second operation condition data of a plurality of intelligent manufacturing apparatuses 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.
The modulated data obtaining module 400 is configured to digitally modulate the second operation condition data in the operation condition data storage table set to generate modulated data.
And the serial-parallel conversion module 401 is configured to serial-parallel convert the second operation condition data in the operation condition data storage table set to generate third operation condition data and fourth operation condition data.
The digital modulation module 402 is configured to modulate third operation condition data through a preset first carrier to generate first modulated data, and modulate fourth operation condition data through a preset second carrier orthogonal to the first carrier to generate second modulated data.
A modulation data generation module 403, configured to combine the first modulation data and the second modulation data to generate modulation data.
The display data generating module 500 is configured to acquire and demodulate the modulated data to generate demodulated data, and decompose the demodulated data to generate display data.
The modulated data acquisition module 501 is configured to acquire modulated data.
The digital demodulation module 502 is configured to digitally demodulate the modulated data through the first carrier and the second carrier to generate first demodulated data and second demodulated data.
The demodulation data generation module 503 is configured to parallel-serial convert the first demodulation data and the second demodulation data to generate demodulation data.
The smart manufacturing device determination module 504 is configured to distinguish the smart manufacturing device corresponding to the demodulated data according to the device identifier.
The display data obtaining module 505 is configured to obtain display data including opening and closing data, temperature data, three-phase voltage data, three-phase current data, and power consumption data of the smart manufacturing device in the demodulation data according to the data spacers.
Example 3
In embodiment 3, a computer device is disclosed, including a memory and a processor, where the memory stores a computer program, and the computer program when executed by the processor causes the processor to execute the steps of the above-described method for monitoring the operation condition of an intelligent manufacturing apparatus. The steps of an intelligent manufacturing apparatus operation condition monitoring method may be the steps of an intelligent manufacturing apparatus operation condition monitoring method according to the above embodiments.
Example 4
In this embodiment 4, a computer-readable storage medium storing a computer program capable of being loaded by a processor and executing a method of monitoring the operation condition of an intelligent manufacturing apparatus as described above is disclosed, the computer-readable storage medium including, for example: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RandomAccessMemory, RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.
The present embodiment is only for explanation of the present invention and is not to be construed as limiting the present invention, and modifications to the present embodiment, which may not creatively contribute to the present invention as required by those skilled in the art after reading the present specification, are all protected by patent laws within the scope of claims of the present invention.
Claims (5)
1. The method for monitoring the operation condition of the intelligent manufacturing equipment is characterized by comprising the following steps of: comprising the following steps:
the method comprises the steps of detecting the operation condition of intelligent manufacturing equipment at fixed time 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 sub-table 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;
obtaining and demodulating the modulation data to generate demodulation data, and decomposing the demodulation data to generate display data;
the first operation condition data includes: opening and closing data, temperature data, three-phase voltage data, three-phase current data and electricity consumption data of intelligent manufacturing equipment;
the step of combining 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 electricity consumption data of the intelligent manufacturing equipment; automatically generating a device identifier and a data spacer for connecting different types of data in the first operation condition data; 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 electricity consumption data, the equipment identifier and the data spacer to generate second running condition data;
the step of performing sub-table storage on the second operation condition data to obtain an operation condition data storage table group comprises the following steps:
setting a plurality of data storage tables in the database according to the quantity of the intelligent manufacturing equipment;
storing the second operation condition data of a plurality of intelligent manufacturing equipment in each data storage table according to a time sequence, and marking the collection of the data storage tables as an operation condition data storage table group;
the intelligent manufacturing equipment is provided with a temperature detector for detecting the temperature of the intelligent manufacturing equipment during operation and a three-phase electric energy meter for detecting electricity consumption data; the temperature detector and the three-phase electric energy meter are both in communication connection with the input end of a preset register; the output end of the register is in communication connection with an encoder, and a device identifier for identifying the intelligent manufacturing device is generated through the encoder; the register sends a data sending signal to the encoder after collecting a group of first operation condition data, and the encoder triggers the process of generating the equipment identifier to generate an equipment identifier for the group of first operation condition data after receiving the data sending signal before sending the group of first operation condition data to the encoder;
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 manner to generate third operation condition data and fourth operation condition data; modulating the third operation condition data through a preset first carrier wave to generate first modulation data, and modulating the fourth operation condition data through a preset second carrier wave orthogonal to the first carrier wave to generate second modulation data; combining the first modulation data and the second modulation data to generate the modulation data;
the obtaining and demodulating the modulated data to generate demodulated data includes: acquiring the modulation data; performing digital demodulation on the modulated data through the first carrier wave and the second carrier wave to generate first demodulated data and second demodulated data; parallel-to-serial converting the first demodulation data and the second demodulation data to generate the demodulation data;
and converting the second operation condition data in the operation condition data storage table group in parallel to generate third operation condition data and fourth operation condition data, wherein the method comprises the following steps: and the serial-parallel converter sequentially serial-parallel converts the second operation condition data in each operation condition data storage table group according to a time sequence, serial-parallel converts the second operation condition data into two paths of data, one path of data is recorded as third operation condition data, the other path of data is recorded as fourth operation condition data, and the binary symbol numbers of the third operation condition data and the fourth operation condition data are 1/2 of the second operation condition data.
2. The intelligent manufacturing equipment operation monitoring method according to claim 1, wherein: the decomposing the demodulated data to generate display data includes:
distinguishing the intelligent manufacturing equipment corresponding to the demodulation data according to the equipment identifier;
and acquiring display data including 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 demodulation data according to the data spacers.
3. An intelligent manufacturing equipment operation condition monitoring system which is characterized in that: comprising the following steps:
the first operation condition data generation module (100) is used for detecting the operation condition of the intelligent manufacturing equipment at fixed time to obtain first operation condition data;
the second operation condition data generation module (200) is used for carrying out combination processing on the first operation condition data to obtain second operation condition data;
the running condition data storage table group acquisition module (300) is used for acquiring the second running condition data, and performing sub-table storage on the second running condition data through a preset database to obtain a running 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 group to generate modulation data;
a display data generating module (500) for acquiring and demodulating the modulated data to generate demodulated data, and decomposing the demodulated data to generate display data;
the first operation condition data includes: opening and closing data, temperature data, three-phase voltage data, three-phase current data and electricity consumption data of intelligent manufacturing equipment;
the step of combining 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 electricity consumption data of the intelligent manufacturing equipment; automatically generating a device identifier and a data spacer for connecting different types of data in the first operation condition data; 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 electricity consumption data, the equipment identifier and the data spacer to generate second running condition data;
the step of performing sub-table storage on the second operation condition data to obtain an operation condition data storage table group comprises the following steps: setting a plurality of data storage tables in the database according to the quantity of the intelligent manufacturing equipment; storing the second operation condition data of a plurality of intelligent manufacturing equipment in each data storage table according to a time sequence, and marking the collection of the data storage tables as an operation condition data storage table group;
the intelligent manufacturing equipment is provided with a temperature detector for detecting the temperature of the intelligent manufacturing equipment during operation and a three-phase electric energy meter for detecting electricity consumption data; the temperature detector and the three-phase electric energy meter are both in communication connection with the input end of a preset register; the output end of the register is in communication connection with an encoder, and a device identifier for identifying the intelligent manufacturing device is generated through the encoder; the register sends a data sending signal to the encoder after collecting a group of first operation condition data, and the encoder triggers the process of generating the equipment identifier to generate an equipment identifier for the group of first operation condition data after receiving the data sending signal before sending the group of first operation condition data to the encoder;
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 manner to generate third operation condition data and fourth operation condition data; modulating the third operation condition data through a preset first carrier wave to generate first modulation data, and modulating the fourth operation condition data through a preset second carrier wave orthogonal to the first carrier wave to generate second modulation data; combining the first modulation data and the second modulation data to generate the modulation data;
the obtaining and demodulating the modulated data to generate demodulated data includes: acquiring the modulation data; performing digital demodulation on the modulated data through the first carrier wave and the second carrier wave to generate first demodulated data and second demodulated data; parallel-to-serial converting the first demodulation data and the second demodulation data to generate the demodulation data;
and converting the second operation condition data in the operation condition data storage table group in parallel to generate third operation condition data and fourth operation condition data, wherein the method comprises the following steps: and the serial-parallel converter sequentially serial-parallel converts the second operation condition data in each operation condition data storage table group according to a time sequence, serial-parallel converts the second operation condition data into two paths of data, one path of data is recorded as third operation condition data, the other path of data is recorded as fourth operation condition data, and the binary symbol numbers of the third operation condition data and the fourth operation condition data are 1/2 of the second operation condition data.
4. A computer device comprising a memory and a processor, said memory having stored thereon a computer program capable of being loaded by the processor and executing the method for monitoring the operation of an intelligent manufacturing apparatus according to any of claims 1 to 2.
5. A computer readable storage medium storing a computer program loadable by a processor and performing the method of monitoring the operation of an intelligent manufacturing apparatus as claimed in any one of claims 1 to 2.
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