CN111203628B - Welding detection method and welding equipment - Google Patents
Welding detection method and welding equipment Download PDFInfo
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- CN111203628B CN111203628B CN201811390254.3A CN201811390254A CN111203628B CN 111203628 B CN111203628 B CN 111203628B CN 201811390254 A CN201811390254 A CN 201811390254A CN 111203628 B CN111203628 B CN 111203628B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K20/00—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating
- B23K20/10—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating making use of vibrations, e.g. ultrasonic welding
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K20/00—Non-electric welding by applying impact or other pressure, with or without the application of heat, e.g. cladding or plating
- B23K20/26—Auxiliary equipment
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K37/00—Auxiliary devices or processes, not specially adapted to a procedure covered by only one of the preceding main groups
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Abstract
The application provides a welding detection method and welding equipment. The welding detection method is applied to welding equipment for executing welding operation, and comprises the following steps: acquiring a first parameter sequence consisting of a preset number of welding parameters, and determining a first parameter interval according to the first parameter sequence; collecting new welding parameters; when the new welding parameter is within the first parameter interval, updating the first parameter sequence according to the new welding parameter, updating the first parameter interval according to the updated first parameter sequence, and comparing the next acquired welding parameter with the updated first parameter interval; and when the new welding parameter size is out of the first parameter interval, stopping the machine. The method improves production efficiency of the product and reduces defective rate of the product.
Description
Technical Field
The application relates to the technical field of lithium battery processing detection, in particular to a welding detection method and welding equipment.
Background
In the production process of the lithium battery, the pole ear and the pole piece of the battery cell are often welded by using an ultrasonic welding technology. In the prior art, no complete method for detecting the welding effect exists, and generally, after the production of the battery cell is finished, a bad battery cell is manually screened out.
The welding effect is not ideal and usually has the following reasons, firstly, the current welding parameters are abnormal, and the welding is poor; secondly, the welding head has problems, for example, the welding head is inclined, and if the welding head is used for a long time, the performance is reduced, the welding energy no longer meets the production requirement, a new welding head needs to be replaced, and the like, so that the yield of the product is reduced, and the production efficiency is reduced.
Disclosure of Invention
In view of this, the present application provides a welding detection method and a welding device, which aim to realize real-time detection of a welding process, improve production efficiency and reduce defective product rate.
Specifically, the method is realized through the following technical scheme:
a welding detection method applied to a welding device for performing a welding operation, comprising:
acquiring a first parameter sequence consisting of a preset number of welding parameters, and determining a first parameter interval according to the first parameter sequence;
collecting new welding parameters;
when the new welding parameter is within the first parameter interval, updating the first parameter sequence according to the new welding parameter, updating the first parameter interval according to the updated first parameter sequence, and comparing the next acquired welding parameter with the updated first parameter interval;
and when the new welding parameter size is out of the first parameter interval, stopping the machine.
Optionally, the obtaining a first parameter sequence composed of a preset number of welding parameters includes:
when detecting that no first parameter sequence saved in history exists currently; or detecting that the position of a welding head of the welding equipment is readjusted; or when detecting that the welding head of the welding equipment is replaced by a new welding head, sequentially collecting welding parameters;
and when the number of the collected welding parameters reaches a preset number, generating the first parameter sequence according to the collected welding parameters.
Optionally, before the number of the collected welding parameters reaches the preset number, the method further includes:
after a first preset number of welding parameters are collected, generating a second parameter sequence, and determining a first comparison value according to the second parameter sequence;
collecting new welding parameters;
when the difference value between the new welding parameter and the first comparison value is within a preset difference value range, adding the new welding parameter into the second parameter sequence;
recalculating the first comparison value according to the newly generated second parameter sequence, comparing the next acquired welding parameter with the new first comparison value, and screening out qualified welding parameters;
and counting the number of the qualified welding parameters after screening until the number of the welding parameters in the second parameter sequence reaches the preset number.
Optionally, the first parameter sequence is a first parameter sequence saved in history.
Optionally, determining the first parameter interval according to the first parameter sequence specifically includes:
calculating the standard deviation and the arithmetic mean of the welding parameters in the first parameter sequence, wherein the standard deviation is recorded as sigma, and the arithmetic mean is recorded as mu;
and setting the first parameter interval as [ mu-sigma n, mu + sigma n ], wherein n is a first preset coefficient.
Optionally, the first parameter sequence is generated by a preset number of welding parameters according to the sequence of acquisition time;
updating the first parameter sequence and the first parameter interval according to the new welding parameters, including:
deleting a first welding parameter in the first parameter sequence;
adding the new welding parameters to the end of the first parameter sequence.
Optionally, the welding detection method further includes:
aiming at each first parameter sequence, calculating an intermediate parameter corresponding to the first parameter sequence;
when the number of the intermediate parameters reaches a second preset number, forming a third parameter sequence according to the intermediate parameters of the second preset number, and determining a second comparison value according to the third parameter sequence;
acquiring a new first parameter sequence after the number of the intermediate parameters reaches the second preset number;
updating the third parameter sequence according to the intermediate parameter corresponding to the new first parameter sequence, and calculating a second comparison value of the updated third parameter sequence according to the updated third parameter sequence;
and when the second comparison value of the updated third parameter sequence is less than or equal to the product of the initially determined second comparison value and a second preset coefficient, outputting an indicating signal for indicating that the welding head needs to be replaced or stopping the welding head.
Optionally, the third parameter sequence is generated by a second preset number of intermediate parameters according to the sequence of generation,
the updating the third parameter sequence according to the intermediate parameter corresponding to the new first parameter sequence includes:
deleting the first intermediate parameter in the third parameter sequence;
and adding the new intermediate parameter to the end of the third parameter sequence.
Optionally, the welding parameter is set as welding power.
A welding apparatus, comprising:
a welding head;
the sensor is arranged on the welding head and used for collecting welding parameters; and
a processor electrically connected to the sensor;
the processor is used for acquiring a first parameter sequence formed by a preset number of welding parameters and determining a first parameter interval according to the first parameter sequence; and is
When the new welding parameter is within the first parameter interval, updating the first parameter sequence according to the new welding parameter, updating the first parameter interval according to the updated first parameter sequence, and comparing the next acquired welding parameter with the updated first parameter interval; and when the new welding parameter is out of the first parameter interval, controlling the welding equipment to stop.
The technical scheme provided by the application can achieve the following beneficial effects:
the application provides a welding detection method, which is applied to welding equipment for executing welding operation, and comprises the steps of firstly, obtaining a first parameter sequence formed by a preset number of welding parameters, determining a first parameter interval according to the first parameter sequence, and then continuously collecting new welding parameters; and when the size of the new welding parameter is within the first parameter interval, updating the first parameter sequence, updating the first parameter interval according to the updated first parameter sequence, comparing the next acquired welding parameter with the updated first parameter interval, and stopping the machine when the size of the new welding parameter is outside the first parameter interval. In the welding process, by collecting welding parameters in real time, whether each newly collected welding parameter is in a first parameter interval can be judged in real time, whether the welding quality of the current tab and the pole piece meets the requirement can be known according to the judgment result, if the welding quality meets the requirement, the welding operation is continued, otherwise, the machine is stopped, the production efficiency of the product is improved, and the defective rate of the product is reduced.
Drawings
FIG. 1 is a control flow diagram of a weld detection method shown in an exemplary embodiment of the present application;
FIG. 2 is a control flow diagram of another embodiment of a weld detection method illustrated in an exemplary embodiment of the present application;
FIG. 3 is a control flow diagram illustrating one particular embodiment of a weld detection method in accordance with an exemplary embodiment of the present application;
FIG. 4 is a control flow diagram including a screening step in a weld inspection method according to an exemplary embodiment of the present application;
FIG. 5 is a control flow diagram illustrating another particular embodiment of a weld detection method according to an exemplary embodiment of the present application;
FIG. 6 is a flow chart illustrating a control of a weld inspection method including determining whether to replace a weld head according to an exemplary embodiment of the present application;
FIG. 7 is a flow chart illustrating control of one embodiment of whether to replace a weld head in a weld inspection method according to one exemplary embodiment of the present application;
FIG. 8 is a schematic view of a welding apparatus shown in an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. Unless defined otherwise, technical or scientific terms used herein shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention belongs. The use of "first," "second," and similar terms in the description and claims of this application do not denote any order, quantity, or importance, but rather the terms are used to distinguish one element from another. Also, the use of the terms "a" or "an" and the like do not denote a limitation of quantity, but rather denote the presence of at least one. "plurality" or "a number" means two or more. Unless otherwise specified, "front", "back", "lower" and/or "upper", "top", "bottom", and the like are for ease of description only and are not limited to one position or one spatial orientation. The word "comprising" or "comprises", and the like, means that the element or item listed as preceding "comprising" or "includes" covers the element or item listed as following "comprising" or "includes" and its equivalents, and does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect.
The application provides a welding detection method, which is applied to welding equipment for executing welding operation, and can detect the welding quality in real time through the detection method in the welding process so as to ensure the yield and the production efficiency of products during welding.
The welding detection method can be applied to the welding of plastic products and also can be applied to the welding of metal products, and in the application, the welding quality of the pole lug and the pole piece is detected as an example for explanation.
For the welding of the tab and the pole piece, the welding mode may be ultrasonic welding, but not limited to this, and may also be laser welding.
Referring to fig. 1, fig. 1 is a control flow chart illustrating a welding detection method according to an exemplary embodiment of the present application. The welding detection method comprises the following steps:
s11, acquiring a first parameter sequence consisting of a preset number of welding parameters, and determining a first parameter interval according to the first parameter sequence; in S11, the preset number of welding parameters is not limited, and for example, the preset number of welding parameters may be 30, 50 or 100.
Moreover, the first parameter sequence may be generated by a preset number of welding parameters according to the sequence of the acquisition time, but is not limited thereto.
And S12, collecting new welding parameters, wherein in a general situation, the tab and the pole piece are welded in a flow line, and the tab and the pole piece are welded once, namely the welding parameters can be collected once.
S13, judging whether the size of the new welding parameter is in the first parameter interval, if so, executing S14, namely updating the first parameter sequence according to the new welding parameter, then updating the first parameter interval according to the updated first parameter sequence, and comparing the next collected welding parameter with the updated first parameter interval; if the judgment result is negative, that is, the new welding parameter size is out of the first parameter interval, S15 is executed, and the machine is stopped.
In S13, once a new welding parameter is collected, namely, a judgment is performed, if the size of the new welding parameter is in the first parameter interval, the current welding quality meets the requirement, and the welding operation is continuously performed; and if the new welding parameter size is out of the first parameter interval, the current welding quality is not met, namely the welding machine is stopped, and the welding operation is interrupted.
According to the control flow, in the welding process, by collecting welding parameters in real time, whether each newly collected welding parameter is in a first parameter interval can be judged in real time, whether the welding quality of the current tab and the pole piece meets the requirement can be known according to the judgment result, if the welding quality meets the requirement, the welding operation is continued, otherwise, the machine is stopped, the production efficiency of the product is improved, and the defective rate of the product is reduced.
In practical application, if the welding equipment is only started and shut down daily and a first parameter sequence stored in history exists in the welding equipment, at this time, the first parameter sequence stored in history can be directly acquired as the first parameter sequence.
Referring to fig. 2, fig. 2 is a control flow diagram of another embodiment of a welding detection method according to an exemplary embodiment of the present application.
If it is detected that the first parameter sequence stored in history does not exist in the welding equipment, or the position of a welding head of the welding equipment is detected to be readjusted, or the welding head of the welding equipment is detected to be replaced by a new welding head, the first parameter sequence consisting of a preset number of welding parameters is acquired, and the method comprises the following steps:
s21, collecting welding parameters in sequence according to the welding operation currently executed by the welding equipment;
and S22, when the number of the collected welding parameters reaches the preset number, generating a first parameter sequence according to the collected welding parameters.
That is, when the first parameter sequence formed by the welding parameters stored in history is not obtained, or the welding equipment is restarted after being halted due to a fault, and when the previously obtained welding parameters are not accurate enough, new welding parameters need to be collected, and the first parameter sequence is generated according to the newly collected welding parameters.
In practical applications, the determining the first parameter interval according to the first parameter sequence may specifically include:
firstly, calculating the standard deviation and the arithmetic mean of the welding parameters in a first parameter sequence, wherein the standard deviation is recorded as sigma, and the arithmetic mean is recorded as mu;
next, the first parameter interval is set to [ μ - σ n, μ + σ n ], where n is a first predetermined coefficient.
Based on the fact that a sufficient number of welding parameters can be collected as samples, the first parameter interval can be determined by calculating the standard deviation and the arithmetic mean of the welding parameters in the first parameter sequence. For example, if the number of welding parameters in the first parameter sequence is 30, then the standard deviation sigma values and the arithmetic mean m of the 30 welding parameters can be calculated:
sigma ^2 { (a [1 ]/(30) ] { a [1] } m) ^2+ (a [2] } m) ^2+ } a [30] } m) ^2, and the standard deviation sigma is recorded as sigma; m ═ 1/30 (a 1 + a 2+. + a 30), and the arithmetic mean m is denoted as μ. The first parameter interval is set to [ mu-sigma n, mu + sigma n ], where n is the first predetermined coefficient.
According to the statistical theory, the standard deviation sigma can reflect the discrete degree of normal distribution, the smaller the standard deviation sigma value is, the more compact the distribution of welding parameters is, and the larger the standard deviation sigma value is, the more dispersed the distribution of welding parameters is. n can be selected from a number of 3-6, when n is selected to be 3, the judgment principle follows a 3sigma principle, and when n is selected to be 6, the judgment principle follows a 6sigma principle. Of course, the method of determining the first parameter interval based on the first parameter sequence is not limited to this, and there are other methods, for example, directly taking an arithmetic average of 30 numbers and setting a parameter interval based on the average, and the like.
In S14, updating the first parameter sequence and the first parameter interval according to the new welding parameters may include:
firstly, deleting a first welding parameter in a first parameter sequence;
second, new welding parameters are added to the end of the first parameter sequence.
The first parameter sequence is generated by welding parameters of a preset number according to the sequence of acquisition time. Therefore, when a new welding parameter is collected, the first welding parameter in the first parameter sequence can be discarded, the newly collected welding parameter is added to the tail of the first parameter sequence, the first parameter sequence is updated, and the first parameter interval is updated by calculating a new standard deviation and a new arithmetic mean value.
Referring to fig. 3, fig. 3 is a control flow diagram of a specific embodiment of a welding detection method according to an exemplary embodiment of the present application.
Firstly, sequentially collecting 30 welding parameters, generating a first parameter sequence according to a collection sequence, calculating a standard deviation sigma value and an arithmetic mean value m of the 30 welding parameters to obtain a sigma value and a mu value, and determining a first parameter interval as [ mu ]0-σ0n，μ0+σ0n]. Continuously collecting the 31 st welding parameter, and judging whether the 31 st welding parameter is [ mu ] or not0-σ0n，μ0+σ0n]If the judgment result is that the 31 st welding parameter is in [ mu ] size0-σ0n，μ0+σ0n]And deleting the 1 st welding parameter in the first parameter sequence, adding the 31 st welding parameter to the tail of the first parameter sequence, and updating the first parameter sequence, wherein the updated first parameter sequence is formed by the 2 nd welding parameter to the 31 st welding parameter in the total number. Then, the first parameter interval is updated according to the updated first parameter sequence to obtain an updated [ mu ]1-σ1n，μ1+σ1n]. Continuously collecting the 32 nd welding parameter, and judging whether the 32 nd welding parameter is in [ mu ] size1-σ1n，μ1+σ1n]If the judgment result is that the 32 nd welding parameter is in [ mu ] size1-σ1n，μ1+σ1n]And deleting the 1 st welding parameter (namely the 2 nd welding parameter in the total) in the updated first parameter sequence, adding the 32 nd welding parameter to the tail end of the updated first parameter sequence, and updating the first parameter sequence again, wherein the updated first parameter sequence is formed by the 3 rd welding parameter to the 32 nd welding parameter in the total. And updating the first parameter interval again according to the updated first parameter sequence, continuing to acquire the 33 th welding parameter … … and so on until the end of a welding cycle. If the size of the x-th collected welding parameter is [ mu ]x-31-σx-31n，μx-31+σx-31n]Besides, the machine is shut down, and at the moment, the welding operation of the pole lug and the pole piece is interrupted, so that a defective product is prevented from being welded.
In another practical application, the welding parameters for generating the first parameter sequence may also be screened, so that each welding parameter for generating the first parameter sequence meets a preset requirement.
Referring to fig. 4, fig. 4 is a control flow chart illustrating a screening step included in a welding detection method according to an exemplary embodiment of the present application. The screening step is arranged between S21 and S22, namely after welding parameters are collected in sequence for the welding operation currently executed by the welding equipment, and when the quantity of the collected welding parameters reaches a preset quantity, the welding parameters are screened, and a first parameter sequence is generated according to qualified welding parameters after screening. Specifically, the screening step comprises:
s51, screening the welding parameters collected in sequence according to a preset strategy;
and S52, counting the number of the qualified welding parameters after screening.
In this step, after the welding parameters collected in sequence are screened according to a preset strategy, the qualified welding parameters after screening are counted, and when the qualified welding parameters reach a preset number, a first parameter sequence is generated according to the qualified welding parameters.
The utility model provides an embodiment, according to predetermineeing the strategy, screens the welding parameter who gathers in proper order, specifically includes:
first, after a first preset number of welding parameters are collected, a second parameter sequence is generated, and a first comparison value is determined according to the second parameter sequence, where the number of collected welding parameters may be 3, 5, or 8, and is not specifically limited herein. It will be readily understood that the "first predetermined number" referred to herein should be less than the "predetermined number" referred to above. For clarity, the first predetermined number is denoted as t and the predetermined number is denoted as k.
The first comparison value may be determined from the second sequence of parameters by calculating a median of the welding parameters in the second sequence of parameters, the difference between the new welding parameter and the median being within [0, δ ]. Wherein, δ is a preset deviation value, and δ can be selected according to an empirical value or a table look-up manner.
For a finite sequence of sets, the median can be found by ranking all the welding parameters in order of magnitude. If there is an even number of welding parameters, the median is usually taken as the average of the two most intermediate values. Of course, the method for determining the first alignment value based on the second parameter sequence is not limited thereto.
Next, collecting new welding parameters;
then, when the difference value between the new welding parameter and the first comparison value is within a preset difference value range, adding the new welding parameter into a second parameter sequence;
and finally, recalculating the first comparison value according to the newly generated second parameter sequence, and comparing the next acquired welding parameter with the new first comparison value until the number of the welding parameters in the second parameter sequence reaches a preset number k, namely the number of the welding parameters generating the first parameter sequence. And if the difference value of the new welding parameter and the first comparison value is out of the preset difference value range, stopping the machine.
The screening step enables each welding parameter for generating the first parameter sequence to be qualified within a preset range.
Referring to fig. 5, fig. 5 is a control flow diagram of another embodiment of a welding detection method according to an exemplary embodiment of the present application.
Firstly, welding parameters are sequentially collected aiming at the welding operation currently executed by the welding equipment, and when the number of the welding parameters reaches 5 (a first preset number t), 5 welding parameters directly generate a second parameter sequence, wherein the first 5 welding parameters can not be judged, and of course, in other embodiments, the first 5 welding parameters can also be screened.
Secondly, calculating the median of the welding parameters in the second parameter sequence, collecting the 6 th welding parameter, calculating the difference between the 6 th welding parameter and the median, judging whether the difference is within [0, delta ], if the difference is within [0, delta ], adding the 6 th welding parameter into the second parameter sequence, counting the number of the qualified welding parameters after screening, and calculating the median of the newly generated second parameter sequence until the number of the welding parameters in the second parameter sequence reaches a preset number k, namely, the number of the welding parameters in the first parameter sequence is reached, wherein the preset number k can be 30, for example.
In the above-described embodiments, after the welding equipment is shut down, an alarm signal can be output at the same time to remind an operator of a problem in the welding process.
The operator can carry out manual inspection to the welding head and the piece to be welded after shutting down, and the manual inspection only detects the following two-sided problem: first, whether the horn is deflected; the second case is the question of whether the pieces to be welded, for example 2 tabs, are welded to the plates at the same time or the plates are not welded with tabs. And if the first condition occurs, manually clearing the acquired welding parameters, and acquiring the welding parameters again after debugging, and if the second condition occurs, not needing debugging, keeping the acquired welding parameters, and continuously acquiring the newly acquired welding parameters. It should be noted that when the equipment is shut down and alarms, the current unqualified welding parameters are not retained in the first parameter sequence.
Referring to fig. 6, fig. 6 is a control flow chart for determining whether a welding head needs to be replaced in a welding detection method according to an exemplary embodiment of the present application.
In the welding process of the tab and the pole piece, the performance of the welding head is gradually reduced, which also causes the welding quality to be reduced, and therefore, the welding detection method provided by the application further comprises the following steps:
s81, calculating intermediate parameters corresponding to each first parameter sequence; the intermediate parameter may be, but is not limited to, an average value of the welding parameters in the first parameter sequence.
S82, when the number of the intermediate parameters reaches a second preset number, forming a third parameter sequence according to the intermediate parameters of the second preset number, and determining a second comparison value according to the third parameter sequence; in S82, the number of intermediate parameters is not limited, and the second predetermined number may be 50, 80 or 100. The second alignment value can be, but is not limited to, the average of the median parameters in the third parameter sequence.
S83, acquiring a new first parameter sequence after the number of the intermediate parameters reaches the second preset number;
s84, updating the third parameter sequence according to the intermediate parameter corresponding to the new first parameter sequence, and calculating a second comparison value of the updated third parameter sequence according to the updated third parameter sequence;
in S84, updating the third parameter sequence according to the intermediate parameter corresponding to the new first parameter sequence, specifically including:
firstly, deleting a first intermediate parameter in the third parameter sequence;
second, a new intermediate parameter is added to the end of the third parameter sequence.
And the third parameter sequence is generated by a second preset number of intermediate parameters according to the sequence of generation.
Of course, the method for updating the third parameter sequence according to the intermediate parameter corresponding to the new first parameter sequence is not limited to the above description, and other methods may be adopted.
And S85, outputting an indicating signal for indicating that the welding head needs to be replaced when the second alignment value of the updated third parameter sequence is less than or equal to the product of the initially determined second alignment value and a second preset coefficient.
The control flow of whether a bonding head needs to be replaced is described below by a specific embodiment. Referring to fig. 7, fig. 7 illustrates an exemplary embodiment of the present application showing whether a bonding tool needs to be replaced.
Calculating an average value B of the welding parameters corresponding to each first parameter sequence aiming at each first parameter sequence consisting of 30 welding parameters, and when the number of the average values reaches 100, forming an average value sequence (B) according to the sequence of 100 average values1、B2、B3…B100) Calculating a sequence of mean values (B)1、B2、B3…B100) The average of all the mean values in (a) is calculated as the first and second alignment values, which can be designated as mean 1.
When averaging the sequence (B)1、B2、B3…B100) After the number of the average values in the first parameter sequence reaches 100, acquiring a new first parameter sequence, and obtaining an average value B corresponding to the new first parameter sequence101Updating the sequence of mean values (B)1、B2、B3…B100) The updating method is to delete the average value sequence (B)1、B2、B3…B100) B in (1)1A 1 to B101Adding the average sequence (B)1、B2、B3…B100) Is updated to a sequence of mean values (B)2、B3…B100、B101) And according to the updated sequence of mean values (B)2、B3…B100、B101) Calculating a sequence of mean values (B)2、B3…B100、B101) The average of (a) and the calculated result is the second alignment value, which can be designated as mean 2.
When the second comparison value mean2 is less than or equal to the product of the first second comparison value mean1 and a second preset coefficient s, an indication signal indicating that the welding head needs to be replaced is output or the machine is stopped. When the second alignment mean2 is greater than the product of the first second alignment mean1 and the second predetermined coefficient s, then mean3, mean4, mean 5. cndot. can be obtained in turn, and the magnitude of the product of mean3 and s and mean1, the magnitude of the product of mean4 and s and mean1, the magnitude of the product of mean5 and s and mean1, and so on. Until mean x is less than or equal to the product of s and mean1, an indication signal is output indicating that the weld head needs to be replaced or the machine is stopped. The second predetermined coefficient may be selected based on empirical values or in a table lookup.
It can be known from the above description that, in the process of welding the tab and the pole piece, the performance of the welding head can be monitored by collecting the welding parameters, and if the control flow is executed, an indication signal indicating that the welding head needs to be replaced is output or the welding head is stopped, the welding head needs to be replaced, so that the phenomenon of poor welding quality caused by the reduction of the function of the welding head can be avoided.
In the welding detection method provided by the application, the collected welding parameter may be power during ultrasonic welding or work performed by performing ultrasonic welding once, and in this embodiment, the former is preferable because the welding power is obtained more directly without calculation than the work performed during welding, so that deviation is small and accuracy is high.
Referring to fig. 8, fig. 8 is a schematic diagram of a welding apparatus according to an embodiment of the present disclosure. The present application also provides a welding device 10 comprising a welding head 11, a sensor 12 disposed on the welding head, and a processor 13 electrically connected to the sensor 12.
Wherein the sensor 12 may acquire welding parameters, i.e. welding power, while the welding head is performing a welding operation and transmit the acquired welding parameters to the processor 13. The processor 13 may be configured to obtain a first parameter sequence composed of a preset number of welding parameters, and determine a first parameter interval according to the first parameter sequence; when the size of the new welding parameter is within the first parameter interval, updating the first parameter sequence according to the new welding parameter, updating the first parameter interval according to the updated first parameter sequence, and comparing the next acquired welding parameter with the updated first parameter interval; and when the new welding parameter size is out of the first parameter interval, controlling the welding device 10 to stop.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (10)
1. A welding inspection method for use with a welding apparatus for performing a welding operation, comprising:
acquiring a first parameter sequence consisting of a preset number of welding parameters, and determining a first parameter interval according to the first parameter sequence;
collecting new welding parameters;
when the new welding parameter is within the first parameter interval, updating the first parameter sequence according to the new welding parameter, updating the first parameter interval according to the updated first parameter sequence, and comparing the next acquired welding parameter with the updated first parameter interval;
and when the new welding parameter size is out of the first parameter interval, stopping the machine.
2. The weld detection method according to claim 1, wherein the obtaining a first parameter sequence consisting of a preset number of welding parameters comprises:
when detecting that no first parameter sequence saved in history exists currently; or detecting that the position of a welding head of the welding equipment is readjusted; or when detecting that the welding head of the welding equipment is replaced by a new welding head, sequentially collecting welding parameters;
and when the number of the collected welding parameters reaches a preset number, generating the first parameter sequence according to the collected welding parameters.
3. The welding detection method of claim 2, further comprising, before the number of acquired welding parameters reaches a preset number:
after a first preset number of welding parameters are collected, generating a second parameter sequence, and determining a first comparison value according to the second parameter sequence;
collecting new welding parameters;
when the difference value between the new welding parameter and the first comparison value is within a preset difference value range, adding the new welding parameter into the second parameter sequence;
recalculating the first comparison value according to the newly generated second parameter sequence, comparing the next acquired welding parameter with the new first comparison value, and screening out qualified welding parameters;
and counting the number of the qualified welding parameters after screening until the number of the welding parameters in the second parameter sequence reaches the preset number.
4. The weld detection method of claim 1, wherein the first parameter sequence is a historically stored first parameter sequence.
5. The welding detection method according to claim 1, wherein determining a first parameter interval from the first sequence of parameters comprises in particular:
calculating the standard deviation and the arithmetic mean of the welding parameters in the first parameter sequence, wherein the standard deviation is recorded as sigma, and the arithmetic mean is recorded as mu;
and setting the first parameter interval as [ mu-sigma n, mu + sigma n ], wherein n is a first preset coefficient.
6. The weld detection method according to claim 1, wherein the first parameter sequence is generated from a preset number of weld parameters in chronological order of acquisition;
updating the first parameter sequence and the first parameter interval according to the new welding parameters, including:
deleting a first welding parameter in the first parameter sequence;
adding the new welding parameters to the end of the first parameter sequence.
7. The welding detection method of claim 1, further comprising:
aiming at each first parameter sequence, calculating an intermediate parameter corresponding to the first parameter sequence;
when the number of the intermediate parameters reaches a second preset number, forming a third parameter sequence according to the intermediate parameters of the second preset number, and determining a second comparison value according to the third parameter sequence;
acquiring a new first parameter sequence after the number of the intermediate parameters reaches the second preset number;
updating the third parameter sequence according to the intermediate parameter corresponding to the new first parameter sequence, and calculating a second comparison value of the updated third parameter sequence according to the updated third parameter sequence;
and when the second comparison value of the updated third parameter sequence is less than or equal to the product of the initially determined second comparison value and a second preset coefficient, outputting an indicating signal for indicating that the welding head needs to be replaced or stopping the welding head.
8. The welding detection method of claim 7, wherein the third parameter sequence is generated from a second predetermined number of intermediate parameters in order of generation,
the updating the third parameter sequence according to the intermediate parameter corresponding to the new first parameter sequence includes:
deleting the first intermediate parameter in the third parameter sequence;
and adding the intermediate parameter corresponding to the new first parameter sequence to the end of the third parameter sequence.
9. The weld detection method of claim 1, wherein the welding parameter is set to a welding power.
10. A welding apparatus, comprising:
a welding head;
the sensor is arranged on the welding head and used for collecting welding parameters; and
a processor electrically connected to the sensor;
the processor is used for acquiring a first parameter sequence formed by a preset number of welding parameters and determining a first parameter interval according to the first parameter sequence; and is
When the size of the new welding parameter is within the first parameter interval, updating the first parameter sequence according to the new welding parameter, updating the first parameter interval according to the updated first parameter sequence, and comparing the next acquired welding parameter with the updated first parameter interval; and when the new welding parameter is out of the first parameter interval, controlling the welding equipment to stop.
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