A method and system for automated production control of ship structural parts

Abstract

The invention discloses an automated production control method and system for ship structural parts, and relates to the technical field of production control. The method comprises the following steps: obtaining a state coefficient of a cutting device after cutting of a steel plate is completed; if the state coefficient of the cutting device is less than a preset state coefficient threshold, obtaining a weld height and a welding penetration depth of the steel plate after welding after cutting, and combining the initially preset deviation size to obtain a final deviation size, and judging whether the cutting state of the currently cut steel plate is qualified; obtaining the current state coefficient of the cutting device, and when the current state coefficient of the cutting device is not less than a preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, controlling the cutting device to stop working, so that it is possible to timely judge whether there is a problem with the state of the cutting device, and timely control the working state of the cutting device, to ensure that no failure occurs in subsequent production steps, and at the same time to ensure the strength of the ship structure and reduce the impact on ship manufacturing.

Description

Technical Field

[0001] The present invention relates to the technical field of production control, and in particular to an automated production control method and system for ship structural parts. Background Art

[0002] The structural parts of a ship mainly include the hull, deck, cabin, rudder, mast, etc., among which the hull is the main load-bearing structure of the ship, which is usually welded from multiple steel plates; the steel plate is crucial in the construction of the ship, because it not only provides the strength and stability of the hull, but also affects the durability and corrosion resistance of the ship; suitable and high-quality steel plates can withstand various pressures and impacts in the marine environment, ensuring the safe navigation and long-term use of the ship; therefore, the processing technology of the steel plate plays a decisive role in the overall performance of the ship, so the processing quality of the steel plate used in shipbuilding is particularly important;

[0003] In the process of processing and producing steel plates, in order to ensure that they are suitable for ship manufacturing, the general production process is steel plate cutting, welding and assembly. First, the steel plates are cut into parts of appropriate sizes, and the parts are welded to obtain the required steel plates, and finally assembled. The assembled steel plates are used for ship manufacturing;

[0004] In the entire processing and production process of steel plates, the cutting process of steel plates is an important part. Once there is a problem with the result of steel plate cutting and it is not discovered in time, it may cause failure of the entire subsequent production steps, causing greater losses. It may also cause the strength of the ship structure to decrease, and ultimately affect the manufacture of the ship. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to provide a method and system for automated production control of ship structural parts.

[0006] In a first aspect of the present invention, a method for controlling the automated production of ship structural parts is first proposed, the method comprising:

[0007] Record the cutting time and the temperature of the cutting equipment during cutting the steel plate, and obtain the state coefficient of the cutting equipment according to the cutting time and the temperature of the cutting equipment;

[0008] The state coefficient of the cutting equipment is compared with a preset state coefficient threshold. If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, the weld height and welding penetration of the steel plate after cutting are obtained to obtain the welding quality coefficient.

[0009] The final deviable size is obtained according to the welding quality coefficient and the initially preset deviable size, and the cutting state of the steel plate currently cut by the cutting equipment is judged to be qualified according to the actual cutting size of the steel plate and the final deviable size;

[0010] The current state coefficient of the cutting equipment is obtained, and the current state coefficient of the cutting equipment is compared with the preset state coefficient threshold. When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working.

[0011] Optionally, the state coefficient of the cutting device is obtained according to the cutting time and the temperature of the cutting device, including:

[0012] The cutting area of ​​the steel plate is divided into several sub-areas, and the actual time required for cutting each sub-area is obtained, and the absolute difference between the actual time required and the corresponding preset time required is calculated to obtain the cutting time deviation of each sub-area; the cutting time deviations of all sub-areas are added to obtain the cutting time deviation coefficient;

[0013] The state coefficient of the cutting equipment is obtained according to the cutting time deviation coefficient and the temperature of the cutting equipment.

[0014] Optionally, obtaining the state coefficient of the cutting device according to the cutting time deviation coefficient and the temperature of the cutting device includes:

[0015] Obtain the actual temperature of the tool after the steel plate cutting is completed, and calculate the absolute difference between the actual temperature of the tool and the preset tool temperature after cutting as the temperature deviation value;

[0016] The time required for the actual temperature of the tool to drop to the preset normal temperature of the tool after the steel plate cutting is completed is obtained as the drop time, and a drop time-temperature curve is drawn to obtain a tool temperature drop curve;

[0017] Calculate the overlap of each curve in the tool temperature drop curve diagram and the preset temperature normal drop curve diagram set, and take the maximum overlap in the preset temperature normal drop curve diagram set as the final overlap, and subtract the final overlap from 1 as the temperature drop abnormal value;

[0018] If the actual temperature of the tool does not drop to the preset normal temperature of the tool, the temperature drop abnormal value is 1;

[0019] The temperature deviation value and the temperature drop abnormal value are normalized, and the tool temperature abnormality coefficient is obtained according to the normalized temperature deviation value and the temperature drop abnormal value;

[0020] The state coefficient of the cutting equipment is obtained according to the cutting time deviation coefficient and the tool temperature abnormality coefficient.

[0021] Optionally, the state coefficient of the cutting device obtained according to the cutting time deviation coefficient and the tool temperature abnormality coefficient includes:

[0022] The cutting time deviation coefficient and the tool temperature anomaly coefficient are normalized, and the state coefficient of the cutting equipment is obtained according to the normalized cutting time deviation coefficient and the tool temperature anomaly coefficient. The calculation formula is:

[0023]

[0024] In the formula, is the state coefficient of the cutting equipment, are the normalized cutting time deviation coefficient and tool temperature anomaly coefficient, are the preset proportional coefficients for the normalized cutting time deviation coefficient and tool temperature anomaly coefficient, respectively. Both are greater than 0.

[0025] Optionally, comparing the state coefficient of the cutting device with a preset state coefficient threshold further includes:

[0026] If the state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the deviation size of any part of the steel plate after cutting is not less than the initial preset deviation size, it means that the cutting state of the cutting equipment is unqualified. At this time, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working;

[0027] If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, and the deviation size of each cut of the steel plate after cutting is less than the initial preset deviation size, the weld height and welding penetration depth of the steel plate after cutting are obtained to obtain the welding quality coefficient.

[0028] Optionally, obtaining the weld height and the weld penetration to obtain the welding quality coefficient includes:

[0029] Obtain the heights of multiple measuring points of the weld along the length direction of the steel plate after the cutting is completed and after the welding is completed, and obtain a weld height sequence;

[0030] Calculate the mean of the weld height sequence as the average weld height, and calculate the absolute difference between each height in the weld height sequence and the average weld height to obtain an absolute difference sequence; calculate the ratio of each value in the absolute difference sequence to the average height, and add all the ratios to obtain the weld fluctuation rate;

[0031] Calculate the difference between each height in the weld height sequence and the average weld height to obtain the difference sequence, and compare all two adjacent values ​​in the difference sequence. If the two values ​​are inconsistent in positive and negative, the fluctuation value between the two values ​​is marked as S. If the two values ​​are consistent in positive and negative, the fluctuation value between the two values ​​is marked as P. Add the number of fluctuation values ​​S and the number of fluctuation values ​​P as the total number, and divide the number of fluctuation values ​​S by the total number to obtain the fluctuation frequency.

[0032] The weld unevenness coefficient is obtained according to the weld fluctuation rate and fluctuation frequency, and the weld quality coefficient is obtained according to the weld unevenness coefficient and welding penetration.

[0033] Optionally, the welding quality coefficient obtained according to the weld unevenness coefficient and the welding penetration includes:

[0034] After the welding of the steel plate is completed, the actual penetration depth of multiple measuring points along the length direction of the weld is obtained to obtain an actual penetration depth sequence, and the preset penetration depth corresponding to each measuring point is used as a preset penetration depth sequence;

[0035] The actual penetration sequence and the preset penetration sequence are matched one by one, and the absolute difference between each pair of values ​​is calculated to obtain the absolute difference sequence of penetration, and the values ​​in the absolute difference sequence of penetration are added to obtain the welding penetration deviation coefficient;

[0036] The weld unevenness coefficient and the weld penetration deviation coefficient are normalized, and the welding quality coefficient is obtained according to the normalized weld unevenness coefficient and the weld penetration deviation coefficient. The calculation formula is:

[0037] In the formula, is the welding quality coefficient, are the normalized weld non-uniformity coefficient and welding penetration deviation coefficient, are the preset proportional coefficients of weld fluctuation rate and fluctuation frequency, respectively, and Both are greater than 0.

[0038] Optionally, obtaining the final deviable size according to the welding quality coefficient and the initially preset deviable size includes:

[0039]

[0040] In the formula, is the final deviating size, To initially preset the deviation size, is the welding quality coefficient;

[0041] Judging whether the cutting status of the steel plate cut by the current cutting equipment is qualified according to the actual cutting size of the steel plate, the preset standard cutting size and the final deviation size includes:

[0042] For any steel plate that has been cut by the cutting equipment, the deviation size of each cut of the steel plate is obtained, and if the deviation size of each cut is smaller than the final allowable deviation size, the cutting state of the steel plate that has been cut by the current cutting equipment is judged to be qualified; if the deviation size of any cut is not smaller than the final allowable deviation size, the cutting state of the steel plate that has been cut by the current cutting equipment is judged to be unqualified.

[0043] Optionally, comparing the current state coefficient of the cutting device with a preset state coefficient threshold further includes:

[0044] When the current state coefficient of the cutting device is less than the preset state coefficient threshold and the cutting state of the steel plate currently cut by the cutting device is qualified, it is judged that the cutting device has no fault, no warning is issued, and the cutting device is controlled to continue working;

[0045] When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, an early warning is issued, and the cutting equipment is controlled to stop working.

[0046] In a second aspect of the present invention, an automated production control system for ship structural parts is provided, the system comprising:

[0047] State coefficient module: records the cutting time and the temperature of the cutting equipment during cutting the steel plate, and obtains the state coefficient of the cutting equipment based on the cutting time and the temperature of the cutting equipment;

[0048] Welding quality module: compare the state coefficient of the cutting equipment with the preset state coefficient threshold. If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, obtain the weld height and welding penetration of the steel plate after cutting to obtain the welding quality coefficient.

[0049] Judgment module: obtain the final deviable size according to the welding quality coefficient and the initially preset deviable size, and judge whether the cutting state of the steel plate currently cut by the cutting equipment is qualified according to the actual cutting size of the steel plate, the preset standard cutting size and the final deviable size;

[0050] Control module: obtain the current state coefficient of the cutting equipment, and compare the current state coefficient of the cutting equipment with the preset state coefficient threshold. When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working.

[0051] Beneficial effects of the present invention:

[0052] The present invention proposes an automated production control method and system for ship structural parts, which obtains the state coefficient of the cutting equipment by recording the cutting time and the temperature of the cutting equipment when cutting the steel plate; and when the state coefficient of the cutting equipment is less than the preset state coefficient threshold, the weld height and welding penetration of the steel plate after welding after cutting are obtained and combined with the initial preset deviation size to obtain the final deviation size, and judge whether the cutting state of the currently cut steel plate is qualified; the current state coefficient of the cutting equipment is obtained, and when the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working. In this way, the steel plate cutting deviation size can be adjusted in time according to the actual situation, and it can be judged in time whether there is a problem with the state of the cutting equipment during the cutting process, and the working state of the cutting equipment can be controlled in time to ensure that the subsequent production steps do not fail and reduce losses, while ensuring the strength of the ship structure and reducing the impact on ship manufacturing. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] The present invention will be further described below in conjunction with the accompanying drawings.

[0054] Figure 1 It is a flow chart of an automated production control method for ship structural parts;

[0055] Figure 2 This is a framework diagram of an automated production control system for ship structural parts. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0057] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0058] The embodiment of the present invention provides a method for controlling the automated production of ship structural parts. Figure 1 , Figure 1 A flow chart of a method for controlling the automated production of ship structural parts provided by an embodiment of the present invention. The method comprises the following steps:

[0059] Record the cutting time and the temperature of the cutting equipment during cutting the steel plate, and obtain the state coefficient of the cutting equipment according to the cutting time and the temperature of the cutting equipment;

[0060] The state coefficient of the cutting equipment is compared with a preset state coefficient threshold. If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, the weld height and welding penetration of the steel plate after cutting are obtained to obtain the welding quality coefficient.

[0061] The final deviable size is obtained according to the welding quality coefficient and the initially preset deviable size, and the cutting state of the steel plate currently cut by the cutting equipment is judged to be qualified according to the actual cutting size of the steel plate and the final deviable size;

[0062] The current state coefficient of the cutting equipment is obtained, and the current state coefficient of the cutting equipment is compared with the preset state coefficient threshold. When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working.

[0063] Based on an automated production control method for ship structural parts provided by an embodiment of the present invention, through the above-mentioned method, the steel plate cutting deviation size can be adjusted in time according to the actual situation, and it can be judged in time whether there is a problem with the state of the cutting equipment during the cutting process, and the working state of the cutting equipment can be controlled in time to ensure that the subsequent production steps do not fail and reduce losses. At the same time, the strength of the ship structure is ensured and the impact on ship manufacturing is reduced.

[0064] In one embodiment, the state coefficient of the cutting device is obtained according to the cutting time and the temperature of the cutting device, including:

[0065] The cutting area of ​​the steel plate is divided into several sub-areas, and the actual time required for cutting each sub-area is obtained, and the absolute difference between the actual time required and the corresponding preset time required is calculated to obtain the cutting time deviation of each sub-area; the cutting time deviations of all sub-areas are added to obtain the cutting time deviation coefficient;

[0066] The state coefficient of the cutting equipment is obtained according to the cutting time deviation coefficient and the temperature of the cutting equipment.

[0067] It should be noted that the cutting area of ​​the steel plate is divided into several sub-areas by professionals according to the actual situation, which will not be described in detail or limited here; in addition, the actual time required for the cutting of each sub-area can be automatically recorded by installing a time sensor on the cutting equipment, or in other ways, which will not be limited or detailed here; in addition, the preset time is also set by professionals according to the actual situation, which will not be limited or detailed here;

[0068] It should be noted that the cutting time deviation coefficient refers to the difference between the time it takes to complete the cutting of the steel plate and the preset cutting completion time. The larger the cutting time deviation coefficient, the greater the gap between the actual cutting completion time and the preset time. This usually reflects instability or reduced efficiency in the cutting process, which may be caused by cutting equipment failure, improper cutting parameter settings or material problems. These problems will lead to reduced cutting quality and may even lead to unqualified cutting, thus affecting the accuracy of subsequent welding and assembly. Therefore, when the cutting time deviation coefficient exceeds the normal range, the cutting equipment should be stopped in time to avoid potential quality problems.

[0069] In one embodiment, obtaining the state coefficient of the cutting device according to the cutting time deviation coefficient and the temperature of the cutting device includes:

[0070] Obtain the actual temperature of the tool after the steel plate cutting is completed, and calculate the absolute difference between the actual temperature of the tool and the preset tool temperature after cutting as the temperature deviation value;

[0071] The time required for the actual temperature of the tool to drop to the preset normal temperature of the tool after the steel plate cutting is completed is obtained as the drop time, and a drop time-temperature curve is drawn to obtain a tool temperature drop curve;

[0072] Calculate the overlap of each curve in the tool temperature drop curve diagram and the preset temperature normal drop curve diagram set, and take the maximum overlap in the preset temperature normal drop curve diagram set as the final overlap, and subtract the final overlap from 1 as the temperature drop abnormal value;

[0073] If the actual temperature of the tool does not drop to the preset normal temperature of the tool, the temperature drop abnormal value is 1;

[0074] The temperature deviation value and the temperature drop abnormal value are normalized, and the tool temperature abnormality coefficient is obtained according to the normalized temperature deviation value and the temperature drop abnormal value;

[0075] The state coefficient of the cutting equipment is obtained according to the cutting time deviation coefficient and the tool temperature abnormality coefficient.

[0076] It should be noted that the tool temperature anomaly coefficient obtained according to the normalized temperature deviation value and the temperature drop anomaly value can be, for example, , where is the tool temperature anomaly coefficient, are the normalized temperature deviation value and temperature drop abnormal value, are the preset proportional coefficients of the normalized temperature deviation value and the temperature drop abnormal value, respectively, and are greater than 0; in addition, It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.5, 0.5, or other numbers respectively, and are not specifically limited.

[0077] It should be noted that the preset tool temperature after cutting is set by professional personnel based on the actual situation, and no specific restrictions or elaborations are made; the actual temperature of the tool after the steel plate cutting is completed can be obtained through the temperature sensor installed on the tool, or other methods can be used, and no specific restrictions or elaborations are made; in addition, the preset temperature normal drop curve atlas is obtained based on historical data, and these data come from the operation records of the previous cutting equipment under normal operating conditions. After each cutting is completed, the actual temperature changes of the tool are collected, and the temperature drop process is analyzed to establish a typical temperature drop curve of the cutting equipment under various operating environments, and obtain the preset temperature normal drop curve atlas; it can also be other acquisition methods, which are not specifically limited or elaborated.

[0078] It should be noted that the calculation of the above-mentioned overlap degree can use methods such as dynamic time warping, cosine similarity, etc., or other methods, which depends on the actual situation and will not be limited or elaborated on.

[0079] It should be noted that the tool temperature anomaly coefficient refers to the abnormal degree of the tool temperature drop after the steel plate is cut and the degree to which the temperature deviates from the preset normal temperature after the cutting is completed. The larger the tool temperature anomaly coefficient, the more significant the difference between the actual tool temperature and the preset normal temperature, or the tool cooling speed is not as expected. This situation usually means that the tool may overheat due to excessive wear, insufficient cooling or other fault factors, thus affecting the cutting quality and normal operation of the equipment. Temperature anomalies may not only reduce the cutting performance of the tool and increase energy consumption during the cutting process, but may also cause equipment damage or safety hazards. Therefore, it is necessary to promptly control the cutting equipment to stop working.

[0080] In one embodiment, the state coefficient of the cutting device is obtained according to the cutting time deviation coefficient and the tool temperature abnormality coefficient, including:

[0081] The cutting time deviation coefficient and the tool temperature anomaly coefficient are normalized, and the state coefficient of the cutting equipment is obtained according to the normalized cutting time deviation coefficient and the tool temperature anomaly coefficient. The calculation formula is:

[0082]

[0083] In the formula, is the state coefficient of the cutting equipment, are the normalized cutting time deviation coefficient and tool temperature anomaly coefficient, are the preset proportional coefficients for the normalized cutting time deviation coefficient and tool temperature anomaly coefficient, respectively. Both are greater than 0.

[0084] It should be noted that It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.5, 0.5, or other numbers respectively, and are not specifically limited.

[0085] In one embodiment, comparing the state coefficient of the cutting device with a preset state coefficient threshold comprises:

[0086] If the state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the deviation size of any part of the steel plate after cutting is not less than the initial preset deviation size, it means that the cutting state of the cutting equipment is unqualified. At this time, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working;

[0087] If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, and the deviation size of each cut of the steel plate after cutting is less than the initial preset deviation size, the weld height and welding penetration depth of the steel plate after cutting are obtained to obtain the welding quality coefficient.

[0088] It should be noted that the preset state coefficient threshold and the initially preset deviable size are set by professionals according to actual conditions, and are not specifically limited or elaborated;

[0089] It should be noted that when the state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the deviation size of any part of the steel plate after cutting is not less than the initial preset deviation size, it means that the cutting equipment may have failed. In order to ensure that the entire subsequent production steps will not fail and cause greater losses, it is necessary to control the cutting equipment to stop working in time;

[0090] When the state coefficient of the cutting equipment is less than the preset state coefficient threshold, and the deviation size of any cut of the steel plate after cutting is less than the initially preset deviation size, it means that the current cutting of the steel plate is temporarily qualified, but the specific impact of the current cutting size deviation on the subsequent welding cannot be determined. Therefore, it is necessary to obtain the weld height and welding penetration of the steel plate after cutting to calculate the welding quality coefficient; through the evaluation of the welding quality, it is possible to further analyze whether the weld height and penetration meet the preset standards to judge the stability and reliability of the welding process; if the welding quality coefficient shows an abnormality, the cutting size deviation of the cutting equipment needs to be adjusted in time to ensure that the subsequent production process will not be affected, and ultimately to ensure the overall quality and production efficiency of ship structural parts.

[0091] In one embodiment, obtaining the weld height and the weld penetration to obtain the welding quality coefficient includes:

[0092] Obtain the heights of multiple measuring points of the weld along the length direction of the steel plate after the cutting is completed and after the welding is completed, and obtain a weld height sequence;

[0093] Calculate the mean of the weld height sequence as the average weld height, and calculate the absolute difference between each height in the weld height sequence and the average weld height to obtain an absolute difference sequence; calculate the ratio of each value in the absolute difference sequence to the average height, and add all the ratios to obtain the weld fluctuation rate;

[0094] Calculate the difference between each height in the weld height sequence and the average weld height to obtain the difference sequence, and compare all two adjacent values ​​in the difference sequence. If the two values ​​are inconsistent in positive and negative, the fluctuation value between the two values ​​is marked as S. If the two values ​​are consistent in positive and negative, the fluctuation value between the two values ​​is marked as P. Add the number of fluctuation values ​​S and the number of fluctuation values ​​P as the total number, and divide the number of fluctuation values ​​S by the total number to obtain the fluctuation frequency.

[0095] The weld unevenness coefficient is obtained according to the weld fluctuation rate and fluctuation frequency, and the weld quality coefficient is obtained according to the weld unevenness coefficient and welding penetration.

[0096] It should be noted that after welding is completed, multi-point measurements are performed along the length direction of the weld by using a laser scanner or a high-precision ranging sensor to obtain height data at each position of the weld to form a weld height sequence. Of course, other acquisition methods may also be used, depending on the actual situation, and no limitation or elaboration is made.

[0097] It should be noted that the weld non-uniformity coefficient is obtained according to the weld fluctuation rate and fluctuation frequency, for example, , where is the weld non-uniformity coefficient, are the weld fluctuation rate and fluctuation frequency, are the preset proportional coefficients of weld fluctuation rate and fluctuation frequency, respectively, and are greater than 0; in addition, It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.45, 0.55, or other numbers, without limitation.

[0098] It should be noted that the weld unevenness coefficient refers to the unevenness of the weld after the steel plate is welded. The greater the weld unevenness, the worse the quality of the steel plate welding. The greater the dimensional deviation of the steel plate when it is cut by the cutting equipment, because this indicates that a smooth and continuous weld cannot be formed during the welding process. This is usually because there are deviations in the edge size and shape of the steel plate, resulting in uneven fusion during welding; this deviation may be due to insufficient precision in the cutting process of the steel plate, resulting in uneven cutting edges, which directly affects the stability and quality of subsequent welding; therefore, large weld unevenness not only reflects poor welding quality, but also indirectly indicates that there are dimensional deviations in the cutting process.

[0099] In one embodiment, obtaining a welding quality coefficient according to a weld non-uniformity coefficient and a welding penetration depth includes:

[0100] After the welding of the steel plate is completed, the actual penetration depth of multiple measuring points along the length direction of the weld is obtained to obtain an actual penetration depth sequence, and the preset penetration depth corresponding to each measuring point is used as a preset penetration depth sequence;

[0101] The actual penetration sequence and the preset penetration sequence are matched one by one, and the absolute difference between each pair of values ​​is calculated to obtain the absolute difference sequence of penetration, and the values ​​in the absolute difference sequence of penetration are added to obtain the welding penetration deviation coefficient;

[0102] The weld unevenness coefficient and the weld penetration deviation coefficient are normalized, and the welding quality coefficient is obtained according to the normalized weld unevenness coefficient and the weld penetration deviation coefficient. The calculation formula is:

[0103]

[0104] In the formula, is the welding quality coefficient, are the normalized weld non-uniformity coefficient and welding penetration deviation coefficient, are the preset proportional coefficients of weld fluctuation rate and fluctuation frequency, respectively, and Both are greater than 0.

[0105] It should be noted that It is set by professionals according to the actual situation. Generally, The sum of is 1, for example They can be 0.65, 0.35, or other numbers respectively, and are not specifically limited.

[0106] It should be noted that after welding is completed, the weld can be scanned by a high-precision measuring device, or the actual penetration depth of multiple measuring points along the length direction of the weld can be recorded by a non-contact laser measuring instrument or an ultrasonic detector to form an actual penetration depth sequence. Of course, other acquisition methods can also be used, which depends on the actual situation and is not limited or elaborated. In addition, the preset penetration depth sequence is set by professional personnel according to the actual situation and is not limited or elaborated.

[0107] It should be noted that the weld penetration deviation coefficient refers to the deviation between the actual depth of molten metal entering the parent material in the weld and the depth of molten metal entering the parent material in the preset weld after the welding of the steel plate is completed. The larger the weld penetration deviation coefficient, the worse the quality of the steel plate welding. The larger the size deviation of the steel plate during cutting by the cutting equipment, because the larger the weld penetration deviation coefficient, the more the molten metal fails to be evenly distributed into the parent material as expected during the welding process, which may lead to insufficient strength and consistency of the weld, thereby affecting the welding quality; this uneven penetration usually indicates that there is a problem with the previous cutting quality of the steel plate, because the cutting size deviation will cause an uneven welding interface or uneven gap, thus affecting the uniformity and overall quality of the welding;

[0108] It should be noted that the larger the above-mentioned welding quality coefficient is, the greater the cutting size deviation of the steel plate is. Therefore, in order to ensure that the cutting size of the steel plate meets the subsequent welding conditions, it is necessary to reduce the cutting size of the originally preset cutting size to meet the welding quality of the steel plate produced in subsequent processing.

[0109] In one embodiment, obtaining the final deviable size according to the welding quality coefficient and the initially preset deviable size includes:

[0110]

[0111] In the formula, is the final deviating size, To initially preset the deviation size, is the welding quality coefficient;

[0112] Judging whether the cutting status of the steel plate cut by the current cutting equipment is qualified according to the actual cutting size of the steel plate, the preset standard cutting size and the final deviation size includes:

[0113] For any steel plate that has been cut by the cutting equipment, the deviation size of each cut of the steel plate is obtained, and if the deviation size of each cut is smaller than the final allowable deviation size, the cutting state of the steel plate that has been cut by the current cutting equipment is judged to be qualified; if the deviation size of any cut is not smaller than the final allowable deviation size, the cutting state of the steel plate that has been cut by the current cutting equipment is judged to be unqualified.

[0114] In one embodiment, obtaining the current state coefficient of the cutting device and comparing the current state coefficient of the cutting device with a preset state coefficient threshold comprises:

[0115] When the current state coefficient of the cutting device is less than the preset state coefficient threshold and the cutting state of the steel plate currently cut by the cutting device is qualified, it is judged that the cutting device has no fault, no warning is issued, and the cutting device is controlled to continue working;

[0116] When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, an early warning is issued, and the cutting equipment is controlled to stop working.

[0117] It should be noted that the preset standard cutting size is a standard cutting size set by professionals based on actual conditions, and no specific elaboration or limitation is given.

[0118] It should be noted that when the cutting equipment is cutting the steel plate, the cutting instructions it has been receiving are to cut the steel plate according to the preset standard cutting size. For example, assuming that the cutting size of the steel plate used in shipbuilding is 3000mmx1500mmx10mm, the specific final cutting deviation size is also determined based on the welding quality of the subsequent cut steel plate, rather than the cutting equipment receiving the deviation cutting size. This process ensures the accuracy of the cutting, so that the subsequent welding and other processing steps can be carried out smoothly within the expected quality standards, thereby improving the overall production efficiency and product reliability.

[0119] In one implementation method, through the above method, the steel plate cutting deviation size can be adjusted in time according to the actual situation, and it can be judged in time whether there is a problem with the state of the cutting equipment during the cutting process, and the working state of the cutting equipment can be controlled in time to ensure that there are no failures in the subsequent production steps and reduce losses. At the same time, the strength of the ship structure is ensured and the impact on ship manufacturing is reduced.

[0120] Based on the same inventive concept, the present invention also provides an automated production control system for ship structural parts. Figure 2 , Figure 2 A framework diagram of an automated production control system for ship structural parts provided by an embodiment of the present invention, the system comprising:

[0121] State coefficient module: records the cutting time and the temperature of the cutting equipment during cutting the steel plate, and obtains the state coefficient of the cutting equipment based on the cutting time and the temperature of the cutting equipment;

[0122] Welding quality module: compare the state coefficient of the cutting equipment with the preset state coefficient threshold. If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, obtain the weld height and welding penetration of the steel plate after cutting to obtain the welding quality coefficient.

[0123] Judgment module: obtain the final deviable size according to the welding quality coefficient and the initially preset deviable size, and judge whether the cutting state of the steel plate currently cut by the cutting equipment is qualified according to the actual cutting size of the steel plate, the preset standard cutting size and the final deviable size;

[0124] Control module: obtain the current state coefficient of the cutting equipment, and compare the current state coefficient of the cutting equipment with the preset state coefficient threshold. When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working.

[0125] An automated production control system for ship structural parts provided in an embodiment of the present invention can timely adjust the steel plate cutting deviation size according to the actual situation through the above method, and timely judge whether there is a problem with the state of the cutting equipment during the cutting process, and timely control the working state of the cutting equipment to ensure that subsequent production steps do not fail and reduce losses, while ensuring the strength of the ship structure and reducing the impact on ship manufacturing.

[0126] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for controlling the automated production of ship structural parts, characterized in that: The following steps are involved: Record the cutting time and the temperature of the cutting equipment during cutting the steel plate, and obtain the state coefficient of the cutting equipment according to the cutting time and the temperature of the cutting equipment; The state coefficient of the cutting equipment is compared with a preset state coefficient threshold. If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, the weld height and welding penetration of the steel plate after cutting are obtained to obtain the welding quality coefficient. The final deviable size is obtained according to the welding quality coefficient and the initially preset deviable size, and the cutting state of the steel plate currently cut by the cutting equipment is judged to be qualified according to the actual cutting size of the steel plate and the final deviable size; Obtain the current state coefficient of the cutting equipment, and compare the current state coefficient of the cutting equipment with the preset state coefficient threshold. When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working; The state coefficients of the cutting equipment obtained according to the cutting time and the temperature of the cutting equipment include: The cutting area of ​​the steel plate is divided into several sub-areas, and the actual time required for cutting each sub-area is obtained, and the absolute difference between the actual time required and the corresponding preset time required is calculated to obtain the cutting time deviation of each sub-area; the cutting time deviations of all sub-areas are added to obtain the cutting time deviation coefficient; The state coefficient of the cutting device is obtained according to the cutting time deviation coefficient and the temperature of the cutting device; The state coefficients of the cutting equipment obtained according to the cutting time deviation coefficient and the temperature of the cutting equipment include: Obtain the actual temperature of the tool after the steel plate cutting is completed, and calculate the absolute difference between the actual temperature of the tool and the preset tool temperature after cutting as the temperature deviation value; The time required for the actual temperature of the tool to drop to the preset normal temperature of the tool after the steel plate cutting is completed is obtained as the drop time, and a drop time-temperature curve is drawn to obtain a tool temperature drop curve; Calculate the overlap of each curve in the tool temperature drop curve diagram and the preset temperature normal drop curve diagram set, and take the maximum overlap in the preset temperature normal drop curve diagram set as the final overlap, and subtract the final overlap from 1 as the temperature drop abnormal value; If the actual temperature of the tool does not drop to the preset normal temperature of the tool, the temperature drop abnormal value is 1; The temperature deviation value and the temperature drop abnormal value are normalized, and the tool temperature abnormality coefficient is obtained according to the normalized temperature deviation value and the temperature drop abnormal value; The state coefficient of the cutting equipment is obtained according to the cutting time deviation coefficient and the tool temperature abnormality coefficient; Comparing the state coefficient of the cutting device with a preset state coefficient threshold also includes: If the state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the deviation size of any part of the steel plate after cutting is not less than the initial preset deviation size, it means that the cutting state of the cutting equipment is unqualified. At this time, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working; If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, and the deviation size of each cut of the steel plate after cutting is less than the initially preset deviation size, the weld height and welding penetration of the steel plate after welding after cutting are obtained to obtain the welding quality coefficient; Obtaining weld height and weld penetration to obtain welding quality coefficients includes: Obtain the heights of multiple measuring points of the weld along the length direction of the steel plate after the cutting is completed and after the welding is completed, and obtain a weld height sequence; Calculate the mean of the weld height sequence as the average weld height, and calculate the absolute difference between each height in the weld height sequence and the average weld height to obtain an absolute difference sequence; calculate the ratio of each value in the absolute difference sequence to the average height, and add all the ratios to obtain the weld fluctuation rate; Calculate the difference between each height in the weld height sequence and the average weld height to obtain the difference sequence, and compare all two adjacent values ​​in the difference sequence. If the two values ​​are inconsistent in positive and negative, the fluctuation value between the two values ​​is marked as S. If the two values ​​are consistent in positive and negative, the fluctuation value between the two values ​​is marked as P. Add the number of fluctuation values ​​S and the number of fluctuation values ​​P as the total number, and divide the number of fluctuation values ​​S by the total number to obtain the fluctuation frequency. The weld unevenness coefficient is obtained according to the weld fluctuation rate and fluctuation frequency, and the weld quality coefficient is obtained according to the weld unevenness coefficient and welding penetration.

2. The method for controlling the automated production of ship structural parts according to claim 1, characterized in that: The state coefficients of the cutting equipment obtained based on the cutting time deviation coefficient and the tool temperature anomaly coefficient include: The cutting time deviation coefficient and the tool temperature anomaly coefficient are normalized, and the state coefficient of the cutting equipment is obtained according to the normalized cutting time deviation coefficient and the tool temperature anomaly coefficient. The calculation formula is: In the formula, is the state coefficient of the cutting equipment, are the normalized cutting time deviation coefficient and tool temperature anomaly coefficient, are the preset proportional coefficients for the normalized cutting time deviation coefficient and tool temperature anomaly coefficient, respectively. Both are greater than 0.

3. The method for controlling the automated production of ship structural parts according to claim 1, characterized in that: The welding quality coefficients obtained based on the weld unevenness coefficient and welding penetration include: After the welding of the steel plate is completed, the actual penetration depth of multiple measuring points along the length direction of the weld is obtained to obtain an actual penetration depth sequence, and the preset penetration depth corresponding to each measuring point is used as a preset penetration depth sequence; The actual penetration sequence and the preset penetration sequence are matched one by one, and the absolute difference between each pair of values ​​is calculated to obtain the absolute difference sequence of penetration, and the values ​​in the absolute difference sequence of penetration are added to obtain the welding penetration deviation coefficient; The weld unevenness coefficient and the weld penetration deviation coefficient are normalized, and the welding quality coefficient is obtained according to the normalized weld unevenness coefficient and the weld penetration deviation coefficient. The calculation formula is: In the formula, is the welding quality coefficient, are the normalized weld non-uniformity coefficient and welding penetration deviation coefficient, are the preset proportional coefficients of weld fluctuation rate and fluctuation frequency, respectively, and Both are greater than 0.

4. The method for automated production control of ship structural parts according to claim 1, characterized in that: The final deviation dimensions obtained based on the welding quality coefficient and the initial preset deviation dimensions include: In the formula, is the final deviating size, To initially preset the deviation size, is the welding quality coefficient; Judging whether the cutting status of the steel plate cut by the current cutting equipment is qualified according to the actual cutting size of the steel plate, the preset standard cutting size and the final deviation size includes: For any steel plate that has been cut by the cutting equipment, the deviation size of each cut of the steel plate is obtained, and if the deviation size of each cut is smaller than the final allowable deviation size, the cutting state of the steel plate that has been cut by the current cutting equipment is judged to be qualified; if the deviation size of any cut is not smaller than the final allowable deviation size, the cutting state of the steel plate that has been cut by the current cutting equipment is judged to be unqualified.

5. The method for controlling the automated production of ship structural parts according to claim 1, characterized in that: Comparing the current state coefficient of the cutting device with the preset state coefficient threshold also includes: When the current state coefficient of the cutting device is less than the preset state coefficient threshold and the cutting state of the steel plate currently cut by the cutting device is qualified, it is judged that the cutting device has no fault, no warning is issued, and the cutting device is controlled to continue working; When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, an early warning is issued, and the cutting equipment is controlled to stop working.

6. An automated production control system for ship structures, used to implement an automated production control method for ship structures as described in any one of claims 1 to 5, characterized in that: The system comprises: State coefficient module: records the cutting time and the temperature of the cutting equipment during cutting the steel plate, and obtains the state coefficient of the cutting equipment based on the cutting time and the temperature of the cutting equipment; Welding quality module: compare the state coefficient of the cutting equipment with the preset state coefficient threshold. If the state coefficient of the cutting equipment is less than the preset state coefficient threshold, obtain the weld height and welding penetration of the steel plate after cutting to obtain the welding quality coefficient. Judgment module: obtain the final deviable size according to the welding quality coefficient and the initially preset deviable size, and judge whether the cutting state of the steel plate currently cut by the cutting equipment is qualified according to the actual cutting size of the steel plate, the preset standard cutting size and the final deviable size; Control module: obtain the current state coefficient of the cutting equipment, and compare the current state coefficient of the cutting equipment with the preset state coefficient threshold. When the current state coefficient of the cutting equipment is not less than the preset state coefficient threshold or the cutting state of the currently cut steel plate is unqualified, the cutting equipment is judged to be faulty, and an early warning is issued, and the cutting equipment is controlled to stop working.

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