CN115826645A - Temperature control method, device, equipment and storage medium of laser - Google Patents
Temperature control method, device, equipment and storage medium of laser Download PDFInfo
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Abstract
The invention relates to the technical field of Internet of things, and discloses a temperature control method, device, equipment and storage medium of a laser, which are used for improving the temperature control accuracy of the laser. The method comprises the following steps: carrying out data feature extraction and feature classification on target detection data to obtain working current, working voltage and real-time temperature data; performing characteristic matching on the working current and the working voltage to obtain a plurality of current-voltage pairs, and generating a working power data set according to the plurality of current-voltage pairs; acquiring a power supply power data set, and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set; setting model parameters according to the working power data set, and inputting the target state matrix into a laser temperature control model to analyze the working state of the laser to obtain a working state analysis result; and matching a target heat dissipation strategy according to the working state analysis result, and performing heat dissipation control according to the target heat dissipation strategy.
Description
Technical Field
The invention relates to the technical field of Internet of things, in particular to a temperature control method, device, equipment and storage medium of a laser.
Background
A laser is a device capable of emitting laser light, and at present, the laser can be classified into a gas laser, a solid laser, a semiconductor laser, and a dye laser 4. Free electron lasers have also been developed recently, with high power lasers typically being pulsed outputs. The electro-optical efficiency of the laser is about 60% generally, the residual 40% is waste heat, waste heat is effectively discharged, the laser works in a normal temperature range, and the heat dissipation efficiency of the temperature needs to be accelerated, so that the normal work of the laser can be ensured.
At present, although the existing scheme can perform heat dissipation to a certain degree, the heat dissipation efficiency still cannot support the long-time operation of the laser in a high-power state, and the existing device cannot manage the heat efficiency, and the existing device is executed according to the same heat dissipation scheme regardless of the high-power mode or the low-power mode, so that the control accuracy of the existing scheme is low.
Disclosure of Invention
The invention provides a temperature control method, a temperature control device, temperature control equipment and a storage medium of a laser, which are used for improving the temperature control accuracy of the laser.
The invention provides a temperature control method of a laser, which comprises the following steps:
detecting the working state of a target laser according to a preset detection time period, and acquiring target detection data of the target laser;
performing data feature extraction and feature classification on the target detection data to obtain working current, working voltage and real-time temperature data corresponding to the target detection data;
performing feature matching on the working current and the working voltage to obtain a plurality of current-voltage pairs, and generating a working power data set of the target laser according to the plurality of current-voltage pairs;
acquiring a power supply power data set of the target laser, and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set;
setting preset model parameters of a laser temperature control model according to the working power data set, and inputting the target state matrix into the laser temperature control model to analyze the working state of the laser to obtain a working state analysis result, wherein the working state analysis result is used for indicating whether the target laser is overheated at the working temperature in the detection time period;
and matching a target heat dissipation strategy of the target laser according to the working state analysis result, and performing heat dissipation control on the target laser according to the target heat dissipation strategy.
With reference to the first aspect, in a first implementation manner of the first aspect of the present invention, the detecting a working state of a target laser according to a preset detection time period and acquiring target detection data of the target laser includes:
detecting the working state of the target laser according to a preset detection time period;
calling a preset sensor group to acquire a plurality of state data of the target laser in the detection time period;
respectively setting attribute tags of the plurality of state data to obtain an attribute tag corresponding to each state data;
and performing data encapsulation and data return on the plurality of state data according to the attribute tag corresponding to each state data to generate target detection data.
With reference to the first aspect, in a second implementation manner of the first aspect of the present invention, the performing data feature extraction and feature classification on the target detection data to obtain working current, working voltage, and real-time temperature data corresponding to the target detection data includes:
performing data feature extraction on the target detection data to obtain a plurality of data features;
performing feature classification on the target detection data according to the plurality of data features to obtain initial current, initial voltage and initial temperature data;
and respectively removing error values of the initial current, the initial voltage and the initial temperature data to obtain working current, working voltage and real-time temperature data corresponding to the target detection data.
With reference to the first aspect, in a third implementation manner of the first aspect of the present invention, the performing feature matching on the operating current and the operating voltage to obtain a plurality of current-voltage pairs, and generating an operating power dataset of the target laser according to the plurality of current-voltage pairs includes:
extracting current distribution data of the working current and extracting voltage distribution data of the working voltage according to the detection time period;
respectively carrying out discretization processing on the current distribution data and the voltage distribution data to obtain discretization current data and discretization voltage data;
performing feature matching on the discretization current data and the discretization voltage data to obtain a plurality of current-voltage pairs;
generating an operating power dataset for the target laser from the plurality of current-voltage pairs.
With reference to the first aspect, in a fourth implementation manner of the first aspect of the present invention, the acquiring a power supply power dataset of the target laser, and constructing a target state matrix according to the real-time temperature data, the working power dataset, and the power supply power dataset includes:
querying a power supply power dataset for the target laser based on the detection time period;
calculating a working efficiency data set of the target laser according to the working power data set and the power supply power data set;
and generating a target state matrix according to the real-time temperature data and the working efficiency data.
With reference to the first aspect, in a fifth implementation manner of the first aspect of the present invention, the setting a preset model parameter of a laser temperature control model according to the working power dataset, and inputting the target state matrix into the laser temperature control model to perform laser working state analysis, so as to obtain a working state analysis result, includes:
generating an operating mode of the target laser from the operating power dataset, wherein the operating mode includes a high power mode and a low power mode;
setting preset model parameters of a laser temperature control model according to the working mode;
inputting the target state matrix into the laser temperature control model, wherein the laser temperature control model comprises two layers of bidirectional long-time and short-time memory networks, two layers of bidirectional threshold cycle networks and two layers of full connection layers;
performing laser working state analysis on the target state matrix through the laser temperature control model, and outputting a temperature overheating probability value;
and generating a working state analysis result according to the temperature overheating probability value, wherein the working state analysis result is used for indicating whether the target laser is overheated at the working temperature in the detection time period.
With reference to the first aspect, in a sixth implementation manner of the first aspect of the present invention, the matching a target heat dissipation strategy of the target laser according to the analysis result of the operating state, and performing heat dissipation control on the target laser according to the target heat dissipation strategy includes:
matching a target heat dissipation strategy of the target laser from a plurality of preset candidate heat dissipation strategies according to the working state analysis result;
generating a laser control instruction according to the target heat dissipation strategy, and sending the laser control instruction to the target laser;
and controlling the target laser to dissipate heat according to the laser control instruction, and monitoring the heat dissipation rate of the target laser in real time.
The second aspect of the present invention provides a temperature control device for a laser, including:
the device comprises an acquisition module, a detection module and a processing module, wherein the acquisition module is used for detecting the working state of a target laser according to a preset detection time period and acquiring target detection data of the target laser;
the classification module is used for performing data feature extraction and feature classification on the target detection data to obtain working current, working voltage and real-time temperature data corresponding to the target detection data;
the matching module is used for carrying out characteristic matching on the working current and the working voltage to obtain a plurality of current-voltage pairs and generating a working power data set of the target laser according to the plurality of current-voltage pairs;
the construction module is used for acquiring a power supply power data set of the target laser and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set;
the analysis module is used for setting preset model parameters of a laser temperature control model according to the working power data set, inputting the target state matrix into the laser temperature control model to analyze the working state of the laser, and obtaining a working state analysis result, wherein the working state analysis result is used for indicating whether the target laser is overheated at the working temperature in the detection time period;
and the control module is used for matching a target heat dissipation strategy of the target laser according to the working state analysis result and carrying out heat dissipation control on the target laser according to the target heat dissipation strategy.
A third aspect of the present invention provides a temperature control apparatus for a laser, comprising: a memory and at least one processor, the memory having instructions stored therein; the at least one processor invokes the instructions in the memory to cause the temperature control device of the laser to perform the temperature control method of the laser described above.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions, which when run on a computer, cause the computer to execute the above-described method of temperature control of a laser.
In the technical scheme provided by the invention, data feature extraction and feature classification are carried out on target detection data to obtain working current, working voltage and real-time temperature data; performing characteristic matching on the working current and the working voltage to obtain a plurality of current-voltage pairs, and generating a working power data set according to the plurality of current-voltage pairs; acquiring a power supply power data set, and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set; setting model parameters according to the working power data set, and inputting the target state matrix into a laser temperature control model to analyze the working state of the laser to obtain a working state analysis result; according to the method, the working state of the target laser is analyzed, a target state matrix is obtained, a laser temperature control model is introduced to analyze the temperature of the target laser, and the heat dissipation control accuracy of the target laser is improved.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a method for controlling the temperature of a laser in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of data feature extraction and feature classification in an embodiment of the present invention;
FIG. 3 is a flow chart of feature matching in an embodiment of the present invention;
FIG. 4 is a flow chart of constructing a target state matrix in an embodiment of the present invention;
FIG. 5 is a schematic diagram of an embodiment of a temperature control apparatus for a laser according to an embodiment of the present invention;
fig. 6 is a schematic diagram of an embodiment of a temperature control device of a laser in the embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a temperature control method, a temperature control device, temperature control equipment and a storage medium of a laser, which are used for improving the temperature control accuracy of the laser. The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For ease of understanding, a detailed flow chart of an embodiment of the present invention is described below, and referring to fig. 1, an embodiment of a method for controlling a temperature of a laser according to an embodiment of the present invention includes:
s101, detecting the working state of the target laser according to a preset detection time period, and acquiring target detection data of the target laser;
it is to be understood that the execution subject of the present invention may be a temperature control device of a laser, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.
Specifically, the server collects the power supply voltage of the target laser, and it should be noted that in the embodiment of the present invention, a corresponding thermistor is disposed in the target laser, and the thermistor is disposed inside the target laser and around a battery.
S102, carrying out data feature extraction and feature classification on target detection data to obtain working current, working voltage and real-time temperature data corresponding to the target detection data;
specifically, the server extracts the most discriminative features from the time feature sequence of the target detection data through a feature extraction algorithm, further selects corresponding feature subsets from all the extracted features, and then classifies the selected feature subsets through a data mining algorithm by the server to obtain working current, working voltage and real-time temperature data corresponding to the target detection data.
S103, carrying out characteristic matching on the working current and the working voltage to obtain a plurality of current-voltage pairs, and generating a working power data set of the target laser according to the plurality of current-voltage pairs;
it should be noted that, a theoretical voltage calculation value is calculated for the working current, and a theoretical voltage calculation value corresponding to the working current is determined, and similarly, the server calculates a theoretical current calculation value for the working voltage, determines a theoretical current calculation value corresponding to the working voltage, performs feature matching on the working current and the working voltage according to the theoretical voltage calculation value and the theoretical current calculation value, obtains a plurality of current-voltage pairs, and performs working power calculation according to a power calculation formula for the plurality of current-voltage pairs, thereby generating a working power data set of the target laser.
S104, acquiring a power supply power data set of the target laser, and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set;
specifically, a power supply power data set of a target laser is obtained, a target state matrix is constructed according to real-time temperature data, a working power data set and the power supply power data set, the server respectively carries out standardization processing on the real-time temperature data, the working power data set and the power supply power data set to obtain corresponding standardized data, further, the standardized data are processed by adopting a regular expression matching and data segmentation clustering method to obtain a processed data set, the processed data set is sorted according to parameter types to determine a data sorting result, and finally the server carries out vector conversion on the real-time temperature data, the working power data set and the power supply power data set to construct the target state matrix according to the data sorting result to obtain the target state matrix.
S105, setting preset model parameters of a laser temperature control model according to a working power data set, inputting a target state matrix into the laser temperature control model to analyze the working state of the laser, and obtaining a working state analysis result, wherein the working state analysis result is used for indicating whether the working temperature of the target laser is overheated in a detection time period;
specifically, a working mode of a target laser is generated according to a working power data set, wherein the working mode comprises a high-power mode and a low-power mode, preset model parameters of a laser temperature control model are set according to the working mode, and a target state matrix is input into the laser temperature control model, wherein the laser temperature control model comprises two layers of bidirectional long-short time memory networks, two layers of bidirectional threshold cycle networks and two layers of full connection layers, the laser working state of the target state matrix is analyzed through the laser temperature control model, and a temperature overheating probability value is output; and generating a working state analysis result according to the temperature overheating probability value, wherein the working state analysis result is used for indicating whether the target laser is overheated at the working temperature in the detection time period.
And S106, matching a target heat dissipation strategy of the target laser according to the working state analysis result, and performing heat dissipation control on the target laser according to the target heat dissipation strategy.
Specifically, a heat dissipation strategy information table is established, heat dissipation strategies are configured for various working states in the information table, the information table and the heat dissipation strategies are uploaded to a preset strategy storage database, a target heat dissipation strategy of a target laser is matched according to a working state analysis result, a working state identifier contained in the working state analysis result is obtained, further, retrieval and matching are carried out according to the heat dissipation strategy information table, a target heat dissipation strategy matched with the target laser is obtained, and heat dissipation control is carried out on the target laser according to the target heat dissipation strategy.
In the embodiment of the invention, data feature extraction and feature classification are carried out on target detection data to obtain working current, working voltage and real-time temperature data; performing characteristic matching on the working current and the working voltage to obtain a plurality of current-voltage pairs, and generating a working power data set according to the plurality of current-voltage pairs; acquiring a power supply power data set, and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set; setting model parameters according to the working power data set, and inputting the target state matrix into a laser temperature control model to analyze the working state of the laser to obtain a working state analysis result; according to the method, the working state of the target laser is analyzed, a target state matrix is obtained, a laser temperature control model is introduced to analyze the temperature of the target laser, and the heat dissipation control accuracy of the target laser is improved.
In a specific embodiment, the process of executing step S101 may specifically include the following steps:
(1) Detecting the working state of the target laser according to a preset detection time period;
(2) Calling a preset sensor group to acquire a plurality of state data of the target laser in a detection time period;
(3) Respectively setting attribute tags of the plurality of state data to obtain an attribute tag corresponding to each state data;
(4) And performing data encapsulation and data return on the plurality of state data according to the attribute tag corresponding to each state data to generate target detection data.
Specifically, the server detects the working state of the target laser according to a preset detection time period,
and calling a preset sensor group to acquire a plurality of state data of the target laser in a detection time period, further, inputting the plurality of state data into a label analysis model by a server to obtain corresponding attribute labels, and performing data encapsulation and data return on the plurality of state data by the obtained attribute labels to generate target detection data. Further, when the server performs data encapsulation and data return on the plurality of state data according to the attribute tag corresponding to each state data, master control data is generated according to the plurality of state data, and whether the master control data needs to be returned is judged at the same time.
In a specific embodiment, as shown in fig. 2, the process of executing step S102 may specifically include the following steps:
s201, extracting data characteristics of target detection data to obtain a plurality of data characteristics;
s202, carrying out feature classification on target detection data according to a plurality of data features to obtain initial current, initial voltage and initial temperature data;
s203, error values of the initial current, the initial voltage and the initial temperature data are removed respectively, and working current, working voltage and real-time temperature data corresponding to the target detection data are obtained.
Specifically, the server extracts data features of target detection data to obtain a plurality of data features, performs feature classification on the target detection data according to the data features to obtain initial current, initial voltage and initial temperature data, further removes outliers from the initial current, the initial voltage and the initial temperature data through an objective statistical method, determines bias data based on absolute errors, relative errors or both, and then performs error value removal according to the bias data to obtain working current, working voltage and real-time temperature data corresponding to the target detection data.
In a specific embodiment, as shown in fig. 3, the process of executing step S103 may specifically include the following steps:
s301, extracting current distribution data of working current and voltage distribution data of working voltage according to the detection time period;
s302, discretizing the current distribution data and the voltage distribution data respectively to obtain discretized current data and discretized voltage data;
s303, performing feature matching on the discretization current data and the discretization voltage data to obtain a plurality of current-voltage pairs;
and S304, generating an operating power data set of the target laser according to the plurality of current-voltage pairs.
Specifically, the server extracts current distribution data of working current and voltage distribution data of working voltage according to a detection time period, and further performs segmentation processing on the current distribution data and the voltage distribution data by the server, extracts partial segmentation of each data to generate preprocessed data, performs redundant data stripping on the preprocessed data according to a data acquisition period and a real data time point to obtain discretization current data and discretization voltage data, performs feature matching on the discretization current data and the discretization voltage data to obtain a plurality of current-voltage pairs, wherein the server performs theoretical voltage calculation value calculation according to the discretization current data and the discretization voltage data to determine theoretical voltage calculation values corresponding to the working current, performs theoretical current calculation value calculation to determine theoretical current calculation values corresponding to the working voltage, performs feature matching on the working current and the working voltage according to the theoretical current calculation values and the theoretical current calculation values to obtain a plurality of current-voltage pairs, and performs working power calculation according to a power calculation formula according to the plurality of current-voltage pairs to generate a working power data set of the target laser.
In a specific embodiment, as shown in fig. 4, the process of executing step S104 may specifically include the following steps:
s401, inquiring a power supply power data set of a target laser based on a detection time period;
s402, calculating a working efficiency data set of the target laser according to the working power data set and the power supply power data set;
and S403, generating a target state matrix according to the real-time temperature data and the working efficiency data.
Specifically, the server inquires a power supply power data set of the target laser based on a detection time period, calculates a working efficiency data set of the target laser according to the working power data set and the power supply power data set, further, when the working efficiency of the target laser is calculated, the server determines current efficiency loss data according to self parameters of the target laser, historical voltage data and historical current factors through an efficiency calculation model, calculates the working efficiency data set of the target laser according to the efficiency loss data, and generates a target state matrix according to real-time temperature data and the working efficiency data.
In a specific embodiment, the process of executing step S105 may specifically include the following steps:
(1) Generating an operating mode of the target laser from the operating power data set, wherein the operating mode includes a high power mode and a low power mode;
(2) Setting preset model parameters of a laser temperature control model according to the working mode;
(3) Inputting the target state matrix into a laser temperature control model, wherein the laser temperature control model comprises two layers of bidirectional long-time memory networks, two layers of bidirectional threshold cycle networks and two layers of full connection layers;
(4) Analyzing the working state of the laser on the target state matrix through a laser temperature control model, and outputting a temperature overheating probability value;
(5) And generating a working state analysis result according to the temperature overheating probability value, wherein the working state analysis result is used for indicating whether the target laser is overheated at the working temperature in the detection time period.
Specifically, a working power data set is obtained, characteristic parameters are comprehensively selected, a system clustering method is adopted for carrying out characteristic classification, so that the similarity of the parameters in the same class is higher, the similarity between different classes is lower, a principal component analysis method is adopted for carrying out dimension reduction on the parameters of different classes, new indexes can retain original information and are not related to each other, the working mode of a target laser is determined according to the finally input characteristic parameters, wherein the working mode comprises a high-power mode and a low-power mode, and further, a server sets the model parameters of a preset laser temperature control model according to the working mode, and then the server further sets the model parameters of the preset laser temperature control model according to the working mode
Selecting current and voltage as evaluation indexes of the working state of the laser, performing cluster analysis on a target state matrix by adopting a K-means clustering method, determining a weight set by adopting a method of combining an entropy method and an analytic hierarchy process, determining a membership function of the target state matrix according to a linear analysis method, obtaining a membership matrix of the target state matrix, calculating a fuzzy comprehensive evaluation matrix, performing working state analysis on the laser according to a maximum membership principle, outputting a temperature overheating probability value, and generating a working state analysis result according to the temperature overheating probability value, wherein the working state analysis result is used for indicating whether the working temperature of the target laser is overheated in a detection time period.
In a specific embodiment, the process of executing step S106 may specifically include the following steps:
(1) According to the working state analysis result, matching a target heat dissipation strategy of the target laser from a plurality of preset candidate heat dissipation strategies;
(2) Generating a laser control instruction according to a target heat dissipation strategy, and sending the laser control instruction to a target laser;
(3) And controlling the target laser to dissipate heat according to the laser control instruction, and monitoring the heat dissipation rate of the target laser in real time.
Specifically, according to the working state analysis result, matching a target heat dissipation strategy of a target laser from a plurality of preset candidate heat dissipation strategies, matching the target heat dissipation strategy of the target laser according to the working state analysis result, acquiring a working state identifier contained in the working state analysis result, further, performing retrieval and matching according to a heat dissipation strategy information table to obtain a target heat dissipation strategy matched with the target laser, generating a laser control instruction according to the target heat dissipation strategy, and sending the laser control instruction to the target laser;
and controlling the target laser to dissipate heat according to the laser control instruction, monitoring the heat dissipation rate of the target laser in real time, and performing heat dissipation control on the target laser according to a target heat dissipation strategy.
With reference to fig. 5, the method for controlling the temperature of the laser according to the embodiment of the present invention is described above, and the apparatus for controlling the temperature of the laser according to the embodiment of the present invention is described below, where an embodiment of the apparatus for controlling the temperature of the laser according to the embodiment of the present invention includes:
an obtaining module 501, configured to perform working state detection on a target laser according to a preset detection time period, and obtain target detection data of the target laser;
a classification module 502, configured to perform data feature extraction and feature classification on the target detection data to obtain working current, working voltage, and real-time temperature data corresponding to the target detection data;
a matching module 503, configured to perform feature matching on the working current and the working voltage to obtain a plurality of current-voltage pairs, and generate a working power dataset of the target laser according to the plurality of current-voltage pairs;
a constructing module 504, configured to obtain a power supply power data set of the target laser, and construct a target state matrix according to the real-time temperature data, the working power data set, and the power supply power data set;
an analysis module 505, configured to set preset model parameters of a laser temperature control model according to the working power data set, and input the target state matrix into the laser temperature control model to perform laser working state analysis, so as to obtain a working state analysis result, where the working state analysis result is used to indicate whether the target laser has an overheated working temperature in the detection time period;
and the control module 506 is configured to match a target heat dissipation strategy of the target laser according to the working state analysis result, and perform heat dissipation control on the target laser according to the target heat dissipation strategy.
Through the cooperative cooperation of the components, data feature extraction and feature classification are carried out on target detection data to obtain working current, working voltage and real-time temperature data; performing characteristic matching on the working current and the working voltage to obtain a plurality of current-voltage pairs, and generating a working power data set according to the plurality of current-voltage pairs; acquiring a power supply power data set, and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set; setting model parameters according to the working power data set, and inputting the target state matrix into a laser temperature control model to analyze the working state of the laser to obtain a working state analysis result; according to the method, the working state of the target laser is analyzed, a target state matrix is obtained, a laser temperature control model is introduced to analyze the temperature of the target laser, and the heat dissipation control accuracy of the target laser is improved.
Fig. 5 describes the temperature control device of the laser in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the temperature control device of the laser in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 6 is a schematic structural diagram of a temperature control apparatus 600 for a laser according to an embodiment of the present invention, which may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 610 (e.g., one or more processors) and a memory 620, and one or more storage media 630 (e.g., one or more mass storage devices) for storing applications 633 or data 632. Memory 620 and storage medium 630 may be, among other things, transient or persistent storage. The program stored on the storage medium 630 may include one or more modules (not shown), each of which may include a series of instruction operations in the temperature control device 600 for the laser. Still further, the processor 610 may be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the laser temperature control device 600.
The laser temperature control apparatus 600 may also include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input-output interfaces 660, and/or one or more operating systems 631, such as Windows Server, mac OS X, unix, linux, freeBSD, and the like. It will be appreciated by those skilled in the art that the temperature control device configuration of the laser shown in fig. 6 does not constitute a limitation of the temperature control device of the laser and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
The present invention also provides a temperature control apparatus for a laser, which includes a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, cause the processor to execute the steps of the temperature control method for a laser in the above embodiments.
The present invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, and which may also be a volatile computer readable storage medium, having stored therein instructions, which, when run on a computer, cause the computer to perform the steps of the method for temperature control of a laser.
It can be clearly understood by those skilled in the art that, for convenience and simplicity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media that can store 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 above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A method for controlling the temperature of a laser, the method comprising:
detecting the working state of a target laser according to a preset detection time period, and acquiring target detection data of the target laser;
performing data feature extraction and feature classification on the target detection data to obtain working current, working voltage and real-time temperature data corresponding to the target detection data;
performing feature matching on the working current and the working voltage to obtain a plurality of current-voltage pairs, and generating a working power data set of the target laser according to the plurality of current-voltage pairs;
acquiring a power supply power data set of the target laser, and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set;
setting preset model parameters of a laser temperature control model according to the working power data set, and inputting the target state matrix into the laser temperature control model to analyze the working state of the laser to obtain a working state analysis result, wherein the working state analysis result is used for indicating whether the working temperature of the target laser is overheated in the detection time period;
and matching a target heat dissipation strategy of the target laser according to the working state analysis result, and performing heat dissipation control on the target laser according to the target heat dissipation strategy.
2. The method for controlling the temperature of the laser according to claim 1, wherein the detecting the working state of the target laser according to the preset detection time period and acquiring the target detection data of the target laser comprises:
detecting the working state of the target laser according to a preset detection time period;
calling a preset sensor group to acquire a plurality of state data of the target laser in the detection time period;
respectively setting attribute tags of the plurality of state data to obtain an attribute tag corresponding to each state data;
and performing data encapsulation and data return on the plurality of state data according to the attribute tag corresponding to each state data to generate target detection data.
3. The method of claim 1, wherein the performing data feature extraction and feature classification on the target detection data to obtain a working current, a working voltage and real-time temperature data corresponding to the target detection data comprises:
performing data feature extraction on the target detection data to obtain a plurality of data features;
performing feature classification on the target detection data according to the plurality of data features to obtain initial current, initial voltage and initial temperature data;
and respectively removing error values of the initial current, the initial voltage and the initial temperature data to obtain working current, working voltage and real-time temperature data corresponding to the target detection data.
4. The method of claim 1, wherein the performing the feature matching on the operating current and the operating voltage to obtain a plurality of current-voltage pairs and generating the operating power dataset of the target laser according to the plurality of current-voltage pairs comprises:
extracting current distribution data of the working current and extracting voltage distribution data of the working voltage according to the detection time period;
respectively carrying out discretization processing on the current distribution data and the voltage distribution data to obtain discretization current data and discretization voltage data;
performing feature matching on the discretization current data and the discretization voltage data to obtain a plurality of current-voltage pairs;
generating an operating power dataset for the target laser from the plurality of current-voltage pairs.
5. The method of claim 1, wherein the obtaining a power supply power dataset of the target laser and constructing a target state matrix from the real-time temperature data, the operating power dataset, and the power supply power dataset comprises:
querying a power supply power dataset for the target laser based on the detection time period;
calculating a working efficiency data set of the target laser according to the working power data set and the power supply power data set;
and generating a target state matrix according to the real-time temperature data and the working efficiency data.
6. The method for controlling the temperature of the laser according to claim 1, wherein the setting a preset model parameter of a laser temperature control model according to the working power data set, and inputting the target state matrix into the laser temperature control model for performing laser working state analysis, and obtaining a working state analysis result comprises:
generating an operating mode of the target laser from the operating power dataset, wherein the operating mode includes a high power mode and a low power mode;
setting preset model parameters of a laser temperature control model according to the working mode;
inputting the target state matrix into the laser temperature control model, wherein the laser temperature control model comprises two layers of bidirectional long-short time memory networks, two layers of bidirectional threshold cycle networks and two layers of full connection layers;
performing laser working state analysis on the target state matrix through the laser temperature control model, and outputting a temperature overheating probability value;
and generating a working state analysis result according to the temperature overheating probability value, wherein the working state analysis result is used for indicating whether the target laser is overheated at the working temperature in the detection time period.
7. The method according to claim 1, wherein the matching a target heat dissipation strategy of the target laser according to the analysis result of the operating state and performing heat dissipation control on the target laser according to the target heat dissipation strategy comprises:
matching a target heat dissipation strategy of the target laser from a plurality of preset candidate heat dissipation strategies according to the working state analysis result;
generating a laser control instruction according to the target heat dissipation strategy, and sending the laser control instruction to the target laser;
and controlling the target laser to dissipate heat according to the laser control instruction, and monitoring the heat dissipation rate of the target laser in real time.
8. A temperature control apparatus for a laser, comprising:
the device comprises an acquisition module, a detection module and a processing module, wherein the acquisition module is used for detecting the working state of a target laser according to a preset detection time period and acquiring target detection data of the target laser;
the classification module is used for performing data feature extraction and feature classification on the target detection data to obtain working current, working voltage and real-time temperature data corresponding to the target detection data;
the matching module is used for carrying out characteristic matching on the working current and the working voltage to obtain a plurality of current-voltage pairs and generating a working power data set of the target laser according to the plurality of current-voltage pairs;
the construction module is used for acquiring a power supply power data set of the target laser and constructing a target state matrix according to the real-time temperature data, the working power data set and the power supply power data set;
the analysis module is used for setting preset model parameters of a laser temperature control model according to the working power data set, inputting the target state matrix into the laser temperature control model to analyze the working state of the laser, and obtaining a working state analysis result, wherein the working state analysis result is used for indicating whether the target laser is overheated at the working temperature in the detection time period;
and the control module is used for matching a target heat dissipation strategy of the target laser according to the working state analysis result and carrying out heat dissipation control on the target laser according to the target heat dissipation strategy.
9. A temperature control apparatus of a laser, characterized by comprising: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the temperature control device of the laser to perform the temperature control method of the laser of any of claims 1-7.
10. A computer readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement a method of temperature control of a laser according to any of claims 1-7.
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