CN115582981A - Mold management method, mold management system and electronic equipment - Google Patents

Abstract

The invention discloses a mould management method, a mould management system and electronic equipment, wherein the method comprises the steps of adjusting and executing called working parameters according to a first preset proportion when a server judges that the injection molding quality is in problem and the parameters of an injection molding machine need to be adjusted, and acquiring detection signals of a pressure sensor according to a third detection period after the parameters are adjusted each time; and acquiring and analyzing detection signals of a third preset number of times according to a third detection period, comparing the analyzed data with a target threshold interval respectively, counting, and if the data increment close to the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval, continuing to adjust the current adjusted parameter according to the first preset proportion until the analyzed data are in the target threshold interval. The invention can realize that the server automatically and sequentially adjusts the parameters of the injection molding machine according to the priority in the preset priority sequence of the parameters of the injection molding machine, and realize the high-efficiency and high-quality management and automatic control of the server on the mold.

Description

Mold management method, mold management system and electronic equipment

Technical Field

The invention belongs to the field of intelligent mold equipment, and particularly discloses a mold management method, a mold management system and electronic equipment.

Background

With the continuous development of various industries, related parts are formed in more and more products in an injection molding mode, the usage amount of a mold is gradually increased, but the mold is easily interfered by external environmental factors in the injection molding process, such as environmental temperature, environmental humidity and the like, which may have certain influence on the quality of injection molding products, the injection molding products are various, it is generally difficult and tedious to design injection molding parameters manually through injection molding experience, and the parameters have certain influence on the quality of injection molding products when being provided with deviations.

Accordingly, further developments and improvements are still needed in the art.

Disclosure of Invention

In order to solve the above problems, the present invention provides a mold management method, a mold management system, and an electronic device with high reliability and high intelligence, which provide the following technical solutions:

according to a first aspect of the present invention, there is provided a mold intelligent control method, the method comprising:

periodically acquiring a detection signal of a pressure sensor arranged in a mold according to a first detection period;

analyzing the signal, comparing the pressure data obtained after analysis with a target threshold interval, and periodically acquiring a detection signal of the pressure sensor according to a second detection period when the pressure data is not located in the target threshold interval;

acquiring and analyzing detection signals of a first preset number of times, comparing the analyzed data with a target threshold interval respectively, if the number of times of signals which are not positioned in the target threshold interval exceeds a second preset number of times, calling working parameters of the injection molding machine in sequence according to the priority in a preset injection molding machine parameter priority sequence, adjusting and executing the called working parameters according to a first preset proportion, and acquiring detection signals of the pressure sensor according to a third detection period after each parameter adjustment.

And acquiring and analyzing detection signals of a third preset number of times according to a third detection period, comparing the analyzed data with the target threshold interval respectively, counting, and if the data increment close to the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval, continuing to adjust the current adjusted parameter according to the first preset proportion until the analyzed data is located in the target threshold interval.

Further, the method further comprises:

and if the data increment close to the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval, increasing the current parameter according to a first preset proportion of the current parameter until the pressure data is positioned in the target threshold interval.

And if the data increment close to the target threshold interval in the current third detection period is smaller than or equal to the data increment far away from the target threshold interval, reducing the current parameter according to a second preset proportion of the current parameter until the pressure data is positioned in the target threshold interval.

Further, the method further comprises:

and if the data increment close to the target threshold interval in the next third detection period is still smaller than or equal to the data increment far away from the target threshold interval, canceling the parameter adjustment and adjusting the next priority parameter of the injection molding machine according to the preset parameter priority sequence of the injection molding machine until the pressure data are positioned in the target threshold interval.

Further, the target threshold interval is calculated according to the preset three-dimensional model size, the size tolerance, the current injection molding material density and the weight tolerance of the current injection molding workpiece.

Further, the method further comprises:

and the third detection period is calculated according to the current injection frequency and a third preset time.

Further, the preset injection molding machine parameter priority sequence comprises:

adjusting the temperature of the die to a first priority; adjusting the melt adhesive temperature to a second priority; adjusting the injection pressure to a third priority; adjusting the injection molding speed to a fourth priority; adjusting the screw speed to a fifth priority; adjusting the hold pressure to a sixth priority; adjusting the hold time to a seventh priority; and adjusting the curing time to be in an eighth priority.

Further, the second detection period is smaller than the first detection period.

Further, the first detection period is 15 minutes, the second detection period is 10 minutes, the first preset number of times is 10 times, the second preset number of times is 6 times, the third preset number of times is 5 times, the first preset proportion is 1%, and the second preset proportion is 1.5%.

According to a second aspect of the present invention, there is provided a mold management system comprising:

the server is used for calculating a target threshold interval, periodically acquiring detection signals of the pressure sensor according to a first detection period, a second detection period or a third detection period and acquiring detection signals of the counter, and is in wireless communication connection with the detection module and the parameter adjusting module respectively; acquiring and analyzing a detection signal sent by a detection module and sending a parameter adjustment signal to a parameter adjustment module;

the detection module comprises a pressure sensor and a counter and is used for acquiring pressure data and injection frequency data of a workpiece injected by a mold each time;

and the parameter adjusting module is in wireless communication connection with the server and is used for adjusting and executing parameters of the injection molding machine.

According to a third aspect of the present invention, there is provided an electronic apparatus comprising:

a memory; and a processor having computer readable instructions stored thereon which, when executed by the processor, implement a method of managing moulds according to any of claims 1 to 8.

The beneficial effects of the invention are:

1. the invention can realize that the server automatically and sequentially adjusts the working parameters of the injection molding machine according to the priority in the preset injection molding machine parameter priority sequence when the pressure data of the workpiece injected by the mold each time, which is acquired by the pressure sensor, is not in the target threshold interval, until the pressure data meets the target weight parameter, thereby realizing the high-efficiency and high-quality management and automatic control of the mold by the server, greatly improving the intelligent degree of a mold management system, greatly improving the production efficiency and greatly improving the enterprise benefit.

2. The invention can prevent the problem of uneven quality of injection products caused by external factors such as temperature or humidity change and the like, greatly improves the consistency of the products and greatly improves the anti-interference performance and the stability of the system.

3. According to the invention, the quality analysis of the workpiece injected by the die can be realized only through the pressure sensor, and no complex system and modeling operation are needed, so that the system architecture is greatly simplified under the condition of ensuring the analysis precision, the system production, installation and maintenance cost is greatly reduced, and the enterprise benefit is greatly improved.

4. According to the invention, through designing the first detection period, the second detection period, the first preset times and the second preset times, system misjudgment caused by short-time fluctuation of external environmental factors can be prevented, and the stability of the system is further enhanced.

5. According to the invention, through skillfully designing the first detection period as 15 minutes, the second detection period as 10 minutes, the first preset times as 10 times, the second preset times as 6 times, the third preset times as 5 times, the first preset proportion as 1% and the second preset proportion as 1.5%, through comprehensively considering the possible occurrence conditions in the field and the circuit implementation mode, the parameters of the circuit are preferably designed, the program architecture is optimized while the influence of various conditions in the field on the system judgment result is avoided, the system analysis efficiency is greatly improved, the time and the labor cost are saved to a great extent, the ultra-low power consumption high reliability operation of the intelligent remote control system is realized, and the service life of the intelligent remote control system is prolonged.

Drawings

FIG. 1 is a flow chart of a method of managing molds in an embodiment of the present invention;

FIG. 2 is a schematic diagram of a mold management method according to another embodiment of the present invention;

FIG. 3 is a functional block diagram of a mold management system in accordance with an embodiment of the present invention;

fig. 4 is a schematic diagram of the connection between the detection module and the server in the mold management system according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions of the present invention are described below clearly and completely with reference to the accompanying drawings of the present invention, and based on the embodiments in the present application, other similar embodiments obtained by a person of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present application. In addition, directional terms such as "upper", "lower", "left", "right", etc. in the following embodiments are directions with reference to the drawings only, and thus, the directional terms are used for illustrating the present invention and not for limiting the present invention.

The invention is further described below with reference to the drawings and the preferred embodiments.

Referring to fig. 1, the present invention provides a mold management method, including:

and S100, periodically acquiring a detection signal of a pressure sensor arranged in the mold according to a first detection period.

The pressure sensor is arranged in the mold in advance, the pressure sensor is fixed in the detection module below the demolding mechanism in the mold, the pressure sensor can acquire pressure data of a workpiece which is molded by the mold each time, namely when the workpiece which is molded by the mold each time is released from the demolding mechanism to the detection module, the pressure sensor can generate a signal related to pressure change in real time. Here, the workpiece that is subjected to injection molding each time can be moved from the demolding mechanism to the detection module by the mechanical arm, and can also be automatically dropped from the demolding mechanism to the detection module by the gravity of the workpiece that is subjected to injection molding each time.

Step S100 is preceded by: the method includes the steps that a first detection period is preset, and the server periodically collects detection signals generated by the pressure sensors based on the preset first detection period, wherein the first detection period is preferably 15 minutes.

S200, analyzing the signal, comparing the analyzed pressure data with a target threshold interval, and periodically acquiring a detection signal of the pressure sensor according to a second detection period when the pressure data is not located in the target threshold interval;

the server analyzes the acquired pressure sensor signal, the analyzed data comprises pressure information data received by a detection module at the current time and acquired by a pressure sensor, a target threshold interval is called and compared with the analyzed data, wherein the target threshold interval is calculated according to the preset three-dimensional model size, the size tolerance, the current injection molding material density and the weight tolerance of the current injection molding workpiece, the weight data of the injection molding workpiece in an ideal injection molding state can be reflected, the second detection period is 10 minutes, the second detection period is set to be 10 minutes, the technical personnel of the invention obtain the weight data through a large number of tests, when the server periodically detects that the pressure data is not in the target threshold interval according to the first detection period, the quality problem of the injection molding workpiece is shown, such as the injection molding is not full, the injection molding structure is damaged, and the injection molding is unqualified product, at the moment, the server needs to detect whether the quality problem of the injection molding workpiece is caused by fluctuation of external environmental factors in a short time, such as short-time cooling, short-time rainfall and the like, the server needs to judge whether the injection molding quality can be recovered by itself, the server is reduced, reliability of the detection period of the server can be ensured, and the detection result can be further reduced, the fluctuation of the system operation of the server, and the server can be greatly reduced. When the pressure data detected according to the first detection period is within the target threshold value interval, the system judges that the injection molding workpiece has no quality problem and is a qualified product, and at the moment, the system continues to periodically acquire the detection signal of the inclination angle sensor arranged in the locomotive remote controller according to the first detection period. The quality analysis of the injection molding workpiece can be completed only by analyzing the detection signal of the pressure sensor, so that the analysis process is simplified to a great extent, the analysis efficiency is greatly improved, the system complexity is reduced, the cost of each link of production, installation, operation and maintenance of the system is greatly reduced, and the enterprise benefit is greatly improved.

S300, obtaining and analyzing detection signals of a first preset number of times, comparing the analyzed data with a target threshold interval, if the number of times of signals which are not located in the target threshold interval exceeds a second preset number of times, calling working parameters of the injection molding machine in sequence according to the priority in a preset injection molding machine parameter priority sequence, adjusting and executing the called working parameters according to a first preset proportion, and obtaining detection signals of the pressure sensor according to a third detection period after each parameter adjustment.

Specifically, after the pressure data is compared with the called target threshold interval, the server periodically detects that the pressure data is not in the target threshold interval according to the first detection period, another work flow is started, namely a preset second detection period is called to obtain a detection signal of the pressure sensor, the second detection period is 10 minutes, the second detection period is set to be 10 minutes, the technician of the invention obtains the result through a large number of tests, when the pressure data of the pressure sensor is not in the target threshold interval at a certain moment, an abnormal condition event is determined to occur, at the moment, the invention greatly improves the reliability of subsequent data analysis by presetting the second detection period and making the second detection period smaller than the first detection period, and by optimizing a program structure, the injection molding workpiece enters the second detection period only when the quality problem occurs, so that the ultra-low power consumption operation of the system of the invention is realized, and the endurance of the invention is greatly improved, therefore, the second detection period is set to be 10 minutes, so that the reliability of data analysis after the occurrence of danger or emergency time can be better improved, and the ultra-low power consumption operation of the system of the invention can be realized. The first preset number of times is 10 times, the second preset number of times is 6 times, the first preset number of times is 10 times, and the second preset number of times is 6 times, which are obtained after a lot of tests by the personnel of the invention, because when the pressure data is not located in the target threshold interval at a certain moment, an abnormal condition event is definitely generated, at this moment, the invention obtains and analyzes the detection signal through the detection frequency which is as reasonable as possible, and avoids unnecessary CPU resource waste while ensuring the accuracy of the analysis result, if the external environmental factors are caused by short-time fluctuation, such as short-time cooling, short-time rainfall and the like, the injection quality should be recovered to be normal within 10 minutes under normal conditions, namely, the 10 times of pressure data collected within 10 minutes are recovered to the target threshold interval for 6 times or more, if the injection quality cannot be recovered to be normal within 10 minutes, namely, the 10 times of pressure data collected within 10 minutes are only below 6 times of pressure data located in the target threshold self-moving area, and the injection quality cannot be recovered, and the parameter adjustment stage is required. Because the injection molding quality of less than 6 times is still problematic if the pressure data acquired within 10 minutes for 10 times is acquired, the injection molding qualification rate is less than 60%, the injection molding material and the injection molding time cost are greatly lost, the further waste of various costs can be avoided on the premise that the decomposition result is reliable when the pressure data enters the parameter adjustment stage, the injection molding quality can be better analyzed, and then whether the injection molding quality can be recovered automatically is judged, the degree design is reasonable, the accuracy of the analysis result is greatly improved, and the energy consumption of the system is reduced.

Specifically, the priority levels in the injection molding machine parameter priority level sequence are sequentially used for adjusting the mold temperature to be a first priority level; adjusting the melt adhesive temperature to a second priority; adjusting the injection pressure to a third priority; adjusting the injection molding speed to be a fourth priority; adjusting the screw speed to a fifth priority; adjusting the hold pressure to a sixth priority; adjusting the hold time to a seventh priority; and adjusting the curing time to be in an eighth priority. The priority sequence is obtained by a large number of experiments by technicians of the invention, the injection quality problem caused by the change of ambient temperature and humidity can be overcome most efficiently by preferentially adjusting the temperature of the mold, therefore, the invention sets the temperature of the mold as the first priority, the temperature of the melt adhesive plays a main role in the flow property of the melt, the invention adjusts the temperature of the melt adhesive as the second priority, the injection pressure is the resistance required by the melt to overcome the advancing, the size, the weight, the deformation and the like of the product are directly influenced, the fluidity of the product is obviously improved by increasing the pressure, the density of the product, namely the appearance gloss is determined by the size of the injection pressure, therefore, the invention sets the injection pressure as the third priority, the injection speed is the speed (MM/S) of the melt in the gun barrel (also the propelling speed of the screw) to determine the appearance, the size and the contractibility of the product, the injection molding speed is adjusted to overcome the poor quality problems of scorching, air lines, shrinkage and the like, so the injection molding speed is adjusted to be the fourth priority, the rotating speed of the adjusting screw rod is adjusted to be fast or slow, the plasticizing degree of the raw materials can be improved, the melt adhesive temperature can also be influenced, and the injection molding quality is further influenced. Therefore, the adjusting and maintaining pressure is set to be the seventh priority, the curing time is adjusted to prevent the product from being deformed due to too hot after injection molding, and therefore the adjusting and curing time is set to be the eighth priority. The invention realizes the optimal automatic adjustment of the mould by initiatively setting the injection parameter priority, greatly improves the efficiency of automatic adjustment control of the mould when the injection problem occurs, greatly improves the intellectualization and automation degree of the invention and greatly improves the enterprise benefit.

Specifically, the first preset proportion is 1%, the third preset number is 5, the third detection period is calculated according to the current injection frequency and the third preset number, the current injection frequency is calculated by the server according to the obtained detection signal of the counter, the first preset proportion of 1% is obtained by a large number of tests by technical personnel, the adjustment proportion of the injection molding parameters of each priority is adjusted to 1%, fine adjustment of the parameters of the injection molding machine can be well completed by the arrangement, the calculation complexity of a system program can be reduced on the basis of ensuring the adjustment precision, the program design is ingenious and reasonable, the problem that the injection molding parameters are complicated and tedious through manual adjustment in the prior art is solved, the parameter adjustment density and the parameter adjustment efficiency are improved to a great extent, and the enterprise benefit is improved to a great extent. Setting the third detection period to be calculated according to the current injection frequency and a third preset number of times, and acquiring a detection signal of the pressure sensor according to the third detection period after adjusting the parameters each time; the third preset time is 5 times, which is obtained by a large amount of experiments of technicians of the invention, so that the analysis time is saved, the parameter adjustment efficiency is improved while the change of the injection molding quality after each parameter adjustment is better analyzed, the problem of detection period change caused by different injection molding time required by different products is solved, and the application scene of the device is greatly expanded.

S400, acquiring and analyzing detection signals of a third preset number of times according to a third detection period, comparing and counting analyzed data with a target threshold interval, and if the data increment close to the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval, continuing to adjust the current adjusted parameters according to the first preset proportion until the analyzed data are located in the target threshold interval.

Specifically, the server sequentially connects and draws 5 times of pressure data acquired according to a third detection period, when the variation trend of two adjacent times of pressure data is close to a target threshold interval, the variation of the two adjacent times of pressure data is called as a data sub-increment close to the target threshold interval, when the variation trend of the two adjacent times of pressure data is far away from the target threshold interval, the variation of the two adjacent times of pressure data is called as a data sub-increment far away from the target threshold interval, the server summarizes the data sub-increments close to the target threshold interval in the current third detection period as a data increment close to the target threshold interval in the current third detection period, the data sub-increment far away from the target threshold interval is summarized as a data increment close to the target threshold interval in the current third detection period, if the data increment close to the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval, the server judges that the injection molding quality in the current third period is changed to be close to the target threshold interval, the injection molding parameter adjustment is effective, and the server continues to adjust the current adjusted parameter according to a first preset proportion until the data is located in the target threshold interval after analysis. The invention creatively analyzes the injection molding quality change after the injection molding parameter adjustment only by analyzing the pressure data obtained for 5 times in the third detection period, does not need complex modeling and algorithm operation, greatly improves the parameter adjustment efficiency, greatly simplifies the analysis algorithm, greatly reduces the cost required by system production, installation and maintenance, and greatly improves the enterprise benefit.

Specifically, if the data increment within the current third detection period, which is close to the target threshold interval, is larger than the data increment which is far away from the target threshold interval, the current item parameter is increased according to a first preset proportion of the current parameter until the pressure data is located within the target threshold interval; it should be noted that, because the injection molding quality problem is generally a case that the pressure detection data is reduced due to sink marks, shrinkage, an unsaturated mold, and the like, and increasing the current item parameter is generally a preferable method for solving such a problem, the present invention preferentially increases the current item parameter according to the first preset proportion of the current parameter, thereby further improving the analysis efficiency of the apparatus.

And if the data increment close to the target threshold interval in the current third detection period is smaller than or equal to the data increment far away from the target threshold interval, reducing the current parameter according to a second preset proportion of the current parameter until the pressure data is positioned in the target threshold interval.

Specifically, if the data increment of the interval close to the target threshold value in the current third detection period is smaller than or equal to the data increment of the interval far from the target threshold value, the server judges that the injection molding quality in the current third period changes to the interval far from the target threshold value, the injection molding parameter adjustment is invalid at this time, the server reduces the current parameter according to the current adjusted parameter according to the second preset proportion, the setting can realize the reverse adjustment of the injection molding machine parameter when the injection molding quality cannot be optimized by increasing the current parameter, and the setting of the second preset proportion to 1.5 percent is obtained by a large number of experiments by technical personnel of the invention, so that the traversal adjustment of the injection molding machine parameter can be better realized, the complexity of a program system is greatly simplified, the parameter adjustment quality and efficiency are improved, the cost required by the production and installation of the invention is greatly reduced, and the application scene of the invention is greatly expanded.

Referring to fig. 2, an embodiment of the present invention provides a mold management method, including:

p1: and starting.

P2: the detection module periodically acquires a detection signal of a pressure sensor arranged in the mold according to a first detection period.

It should be noted here that, in the mold of the present invention, a pressure sensor is preset, the pressure sensor is fixed in a detection module below a demolding mechanism in the mold, and the pressure sensor can acquire pressure data of a workpiece injected by the mold each time, that is, when the workpiece injected by the mold each time is released from the demolding mechanism onto the detection module, the pressure sensor can generate a signal related to a pressure change in real time. Here, the workpiece to be injection-molded for each time may be moved from the demolding mechanism to the detection module by the robot arm, or may be automatically dropped from the demolding mechanism to the detection module by the gravity of the workpiece to be injection-molded for each time.

Step P2 is preceded by presetting a first detection period, and the system periodically acquires the detection signal generated by the pressure sensor based on the preset first detection period, preferably, the first detection period is 15 minutes.

And P3, the server compares whether the pressure data is located in the target threshold interval, if so, the step P2 is returned, and if not, the step P4 is executed.

It should be noted here that when the server periodically detects that the pressure data is not located in the target threshold interval according to the first detection period, it is described that the workpiece which is injection-molded at this time has quality problems, such as insufficient injection molding, damage to an injection-molded structure, and the like, and is an unqualified product, when the angle data is smaller than a preset threshold, it is described that the system determines that no out-of-control event that personnel topple over and the like causes the remote controller to overturn has occurred, and at this time, the system continues to periodically obtain the detection signal of the inclination angle sensor arranged in the locomotive remote controller according to the first detection period.

When the pressure data detected according to the first detection period is within the target threshold value interval, the system judges that the injection molding workpiece has no quality problem and is a qualified product, and at the moment, the system continues to periodically acquire the detection signal of the inclination angle sensor arranged in the locomotive remote controller according to the first detection period. The quality analysis of the injection molding workpiece can be completed only by analyzing the detection signal of the pressure sensor, the analysis flow is simplified to a great extent, the analysis efficiency is greatly improved, the system complexity is reduced, the cost of each link of production, installation, operation and maintenance of the system is greatly reduced, and the enterprise benefit is greatly improved.

And P4, the detection module acquires the detection signals of the pressure sensor for the first preset times according to the second detection period.

It should be noted here that the server analyzes the acquired pressure sensor signal, the analyzed data includes pressure information data received by the pressure sensor at the current time by the detection module, and a target threshold interval is called and compared with the analyzed data, wherein the target threshold interval is calculated according to a preset three-dimensional model size, a dimensional tolerance, a current injection molding material density and a weight tolerance of a current injection molding workpiece, and can represent weight data of the injection molding workpiece in an ideal injection molding state, the second detection period is 10 minutes, and the second detection period is set to 10 minutes.

And P5, the server compares whether the signal frequency which is not positioned in the target threshold interval exceeds a second preset frequency or not. If yes, executing the step P6, otherwise, returning to the step P2.

It should be noted here that, after the angle data is compared with the called 45-degree threshold, it is determined that the angle data is greater than or equal to the preset threshold, another work flow is started, that is, a preset second detection period is called to obtain a detection signal of the tilt sensor, the second detection period is 3 seconds, the second detection period is set to 3 seconds, and the technician of the present invention obtains through a large number of tests, when the turning angle of the remote controller of the locomotive is greater than 45 degrees at a certain moment, an abnormal event is definitely generated, at this time, the reliability of subsequent data analysis is greatly improved by presetting the second detection period and making the second detection period smaller than the first detection period, and by optimizing a program structure, the second detection period is entered only when a dangerous or emergency occurs, so that the ultra-low power consumption operation of the system of the present invention is realized, and the endurance of the present invention is greatly improved, therefore, the second detection period is set to 3 seconds, and the reliability of data analysis after the occurrence of the dangerous or emergency time can be well improved, and the ultra-low power consumption operation of the system of the present invention can be realized.

And P6, sequentially calling the working parameters of the injection molding machine according to the priority in the preset injection molding machine parameter priority sequence, adjusting and executing the called working parameters according to a first preset proportion, and acquiring the detection signal of the pressure sensor according to a third detection period after each parameter adjustment.

It should be noted here that the priority in the injection molding machine parameter priority sequence is to adjust the mold temperature to the first priority in turn; adjusting the melt adhesive temperature to a second priority; adjusting the injection pressure to a third priority; adjusting the injection molding speed to a fourth priority; adjusting the screw speed to a fifth priority; adjusting the hold pressure to a sixth priority; adjusting the hold time to a seventh priority; and adjusting the curing time to be in an eighth priority. The priority sequence is obtained by a large number of experiments by technicians of the invention, the injection quality problem caused by the change of ambient temperature and humidity can be overcome most efficiently by preferentially adjusting the temperature of the mold, therefore, the invention sets the temperature of the mold as the first priority, the temperature of the melt adhesive plays a main role in the flow property of the melt, the invention adjusts the temperature of the melt adhesive as the second priority, the injection pressure is the resistance required by the melt to overcome the advancing, the size, the weight, the deformation and the like of the product are directly influenced, the fluidity of the product is obviously improved by increasing the pressure, the density of the product, namely the appearance gloss is determined by the size of the injection pressure, therefore, the invention sets the injection pressure as the third priority, the injection speed is the speed (MM/S) of the melt in the gun barrel (also the propelling speed of the screw) to determine the appearance, the size and the contractibility of the product, the injection molding speed is adjusted to overcome the poor quality problems of scorching, air lines, shrinkage and the like, so the injection molding speed is adjusted to be the fourth priority, the rotating speed of the adjusting screw rod is adjusted to be fast or slow, the plasticizing degree of the raw materials can be improved, the melt adhesive temperature can also be influenced, and the injection molding quality is further influenced. Therefore, the adjusting and maintaining pressure is set as the seventh priority level, the curing time is adjusted to prevent the product from being deformed due to too hot after injection molding, and therefore the adjusting and curing time is set as the eighth priority level. The invention realizes the optimal automatic adjustment of the mould by initiatively setting the injection parameter priority, greatly improves the efficiency of automatic adjustment control of the mould when the injection problem occurs, greatly improves the intelligence and automation degree of the invention and greatly improves the enterprise benefit.

The third detection period is calculated according to the current injection molding frequency and the third preset times, the current injection molding frequency is calculated by the server according to the acquired detection signals of the counter, the first preset proportion of 1% is obtained by a large number of tests of technical personnel, the adjustment proportion of the injection molding parameters of each priority is uniformly adjusted to 1%, fine adjustment of the parameters of the injection molding machine can be well completed by the aid of the adjustment proportion, the calculation complexity of a system program can be reduced on the basis of ensuring adjustment precision, the program design is ingenious and reasonable, the problem that the injection molding parameters are very complicated and tedious through manual adjustment in the prior art is solved, the parameter adjustment density and the parameter adjustment efficiency are improved to a great extent, and enterprise benefits are improved to a great extent. And setting the third detection period to be calculated according to the current injection frequency and a third preset number of times, and acquiring a detection signal of the pressure sensor according to the third detection period after adjusting the parameters each time. The problem that different products need different injection molding time to cause detection cycle variation is solved, and the application scene of the device is greatly expanded.

And P7, after each parameter adjustment, the server acquires and analyzes detection signals of a third preset number of times according to a third detection period, and compares and counts the analyzed data with the target threshold interval respectively.

The third preset time is 5 times, and the third preset time is 5 times, which is obtained by a large number of experiments by technicians of the invention, so that the analysis time can be saved, the parameter adjustment efficiency can be improved while the change of the injection molding quality after each parameter adjustment is better analyzed, the problem of detection period change caused by different injection molding time required by different products is solved, and the application scene of the device is greatly expanded.

And P8, the server compares whether the data increment approaching the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval. If yes, go to step P9, otherwise go to step P11.

The server sequentially connects and plots 5 times of pressure data acquired according to a third detection period, when the variation trend of the two adjacent times of pressure data approaches a target threshold interval, the variation of the two adjacent times of pressure data is called a data sub-increment approaching the target threshold interval, when the variation trend of the two adjacent times of pressure data is far away from the target threshold interval, the variation of the two adjacent times of pressure data is called a data sub-increment far away from the target threshold interval, the server summarizes the data sub-increments approaching the target threshold interval into the data increment approaching the target threshold interval in the current third detection period, the data sub-increments far away from the target threshold interval are summarized into the data increment approaching the target threshold interval in the current third detection period, if the data increment approaching the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval, the server judges that the injection molding quality in the current third period changes into the interval approaching the target threshold, the injection parameter adjustment is effective, and the server continues to adjust the current adjusted parameter according to a first preset proportion until the data is located in the target threshold interval after analysis. The invention creatively analyzes the injection molding quality change after the injection molding parameter adjustment only by analyzing the 5-time pressure data acquired in the third detection period, does not need complex modeling and algorithm operation, greatly improves the parameter adjustment efficiency, greatly simplifies the analysis algorithm, greatly reduces the cost required by system production, installation and maintenance, and greatly improves the enterprise benefit.

And P9, comparing whether the pressure data is within the target threshold interval, if so, returning to the step P2, and if not, executing the step P10.

P10, continuing to increase the current item parameter of the current adjusted parameter according to the first preset proportion, and then executing the step P7.

It should be noted that, if the data increment in the current third detection period, which is close to the target threshold interval, is greater than the data increment far away from the target threshold interval, the current parameter is increased according to the first preset proportion of the current parameter until the pressure data is located in the target threshold interval; it should be noted that, because the injection molding quality problem is generally a case that the pressure detection data is reduced due to sink marks, shrinkage, an unsaturated mold, and the like, and increasing the current item parameter is generally a preferable method for solving such a problem, the present invention preferentially increases the current item parameter according to the first preset proportion of the current parameter, thereby further improving the analysis efficiency of the apparatus.

And P11, reducing the current item parameter of the current adjusted parameter according to a second preset proportion.

It should be noted here that, if the data increment in the current third detection period, which is close to the target threshold interval, is less than or equal to the data increment far from the target threshold interval, the server determines that the injection molding quality in the current third detection period changes to a data increment far from the target threshold interval, the injection molding parameter adjustment is invalid this time, the server reduces the current parameter according to the currently adjusted parameter according to a second preset proportion, the setting can realize reverse adjustment of the injection molding machine parameter when the current parameter is increased and the injection molding quality cannot be optimized, and the setting of the second preset proportion to 1.5% is obtained by a lot of experiments by technicians of the present invention, and can better realize traversal adjustment of the injection molding machine parameter, greatly simplify the complexity of a program system, improve the parameter adjustment quality and efficiency, greatly reduce the cost required by production and installation of the present invention, and greatly expand the application scenes of the present invention.

And P12, the server compares whether the data increment close to the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval. If yes, go to step P14; if not, go to step P13.

And P13, canceling the parameter adjustment, adjusting the next priority parameter of the injection molding machine according to the preset priority sequence of the parameters of the injection molding machine, and executing the step P7.

It should be noted that, after the injection molding machine reduces the current parameter of the current adjusted parameter according to the second preset proportion, in the next third detection period, the server compares that the data increment in the current third detection period, which is close to the target threshold interval, is smaller than or equal to the data increment in the current third detection period, which is far from the target threshold interval, then the server determines that the adjustment of the current parameter is invalid, cancels the adjustment of the current parameter, and performs the adjustment of the next priority parameter of the injection molding machine according to the preset priority sequence of the parameters of the injection molding machine, and executes step P7.

P14, comparing whether the pressure data are located in the target threshold interval, if so, returning to the step P2; if not, go to step P11.

Referring to fig. 3-4, another embodiment of the present invention provides a mold management system, which includes:

a server 200, configured to calculate a target threshold interval, periodically obtain a detection signal of the pressure sensor 25 according to a first detection period, a second detection period, or a third detection period, and obtain a detection signal of the counter 22, where the server 200 is wirelessly connected to the detection module 100 and the parameter adjustment module 300; acquiring and analyzing a detection signal sent by the detection module 100 and sending a parameter adjustment signal to the parameter adjustment module 300;

the detection module 100 comprises a pressure sensor 25 and a counter 22, and is used for acquiring pressure data and injection frequency data of a workpiece injected by a mold each time;

a parameter adjusting module 300, wherein the parameter adjusting module 300 is connected with the server 200 in a wireless communication manner, and is used for adjusting and executing parameters of the injection molding machine.

The server 200 is further provided with a first wireless signal transceiver module 26, and the detection module 100 is further provided with a second wireless signal transceiver module 23, a controller 21, and a GPS module 24. The server 200 and the detection module 100 are connected in wireless communication through the first wireless signal transceiver module 26 and the second wireless signal transceiver module 23. The first wireless signal transceiver module can be in communication connection with the plurality of second wireless signal transceiver modules 23, and the positioning of each mold by the server can be realized through the GPS module 24, that is, the server 200 can automatically control a plurality of molds at the same time, so that the remote automatic centralized management of the molds can be realized. The application scene of the invention is greatly expanded, and the enterprise benefit is greatly improved.

In the actual production process, for the mold, it needs to be repaired after the number of uses is reached, so that the number of uses of the mold can be obtained by recording the number of uses of the mold by the counter 22. Like this, alright in order to make things convenient for the quantity of understanding mould that operating personnel can be more accurate, the state of each mould of understanding that can also be accurate, and then can be more reasonable go on with production plan's rational arrangement. The server 200 and the detection module 100 communicate with each other by wireless transmission, and the wireless communication may be implemented by 4G or 5G technology in the conventional technology, wherein how to detect the counter 22, the counter 22 may be triggered to count by a touch switch or a photoelectric switch.

Further, the detection module 100 further includes a GPS module 24, the GPS module 24 is connected to the controller 21, and the GPS module 24 is used for detecting the position of the corresponding module.

Specifically, for many molds, the molds can be distributed in different production plants, and therefore, in order to obtain the distribution information of the molds more accurately, the GPS module 24 is integrated in the detection module 100, and the GPS module 24 can detect the positions of the corresponding molds, so as to analyze and determine the predicted capacities of different production plants more accurately, and allocate the capacity more reasonably.

In other embodiments, the server sends query instructions to the detection modules, the detection modules detect the information of the molds and send the information to the server, and the server knows the number of the molds and the positions of the molds.

Since each mold is provided with the detection module 100, in an actual production process, for each mold, the corresponding detection module 100 can detect the state of the corresponding mold, and the state information includes information such as parameters, positions and use times of the mold itself. And the detection module uploads and gathers the information to the server in a wireless transmission mode. The server can integrally count the information of each die without manually counting one by one, thereby reducing the labor intensity of workers.

Further, in order to more reasonably arrange the capacities of different factories, the management method further comprises: the detection module detects the mold opening and closing times of the molds and sends information to the server, and the server acquires the mold opening and closing times of each mold according to the received information sent by the detection module.

Specifically, when the mold is used in an injection molding machine, the counter 22 measures the mold once for each opening and closing of the mold, so that the remaining usage of the mold can be known in real time and the mold can be actually produced. The server calculates the predicted output of the molds according to the number of the molds and the mold opening and closing times of each mold, and can more accurately predict the overall capacity of the molds leaving the factory area by counting the residual mold opening and closing times of each mold, so that the arrangement is reasonable.

Specifically, the detection module 100 and the server 200 are further provided with touch display screens for allowing a worker to observe the current working states and various information of the server and the mold in real time, and manually perform operations such as management control and parameter adjustment on the mold through the current working states and various information of the server and the mold.

In a preferred embodiment, the present application further provides an electronic device comprising:

a memory; and a processor, the memory having stored thereon computer readable instructions, which when executed by the processor, implement the mold management method. The computer device may broadly be a server, a terminal, or any other electronic device having the necessary computing and/or processing capabilities. In one embodiment, the computer device may include a processor, memory, a network interface, a communication interface, etc., connected by a system bus. The processor of the computer device may be used to provide the necessary computing, processing and/or control capabilities. The memory of the computer device may include non-volatile storage media and internal memory. An operating system, a computer program, and the like may be stored in or on the non-volatile storage medium. The internal memory may provide an environment for the operating system and the computer programs in the non-volatile storage medium to run. The network interface and the communication interface of the computer device may be used to connect and communicate with an external device through a network. Which when executed by a processor performs the steps of the method of the invention.

The invention may be implemented as a computer readable storage medium having stored thereon a computer program which, when executed by a processor, causes the steps of the method of an embodiment of the invention to be performed. In one embodiment, the computer program is distributed across a plurality of computer devices or processors coupled by a network such that the computer program is stored, accessed, and executed by one or more computer devices or processors in a distributed fashion. A single method step/operation, or two or more method steps/operations, may be performed by a single computer device or processor or by two or more computer devices or processors. One or more method steps/operations may be performed by one or more computer devices or processors, and one or more other method steps/operations may be performed by one or more other computer devices or processors. One or more computer devices or processors may perform a single method step/operation, or perform two or more method steps/operations.

It will be appreciated by those of ordinary skill in the art that the method steps of the present invention may be directed to associated hardware, such as a computer device or processor, for performing the steps of the present invention by a computer program, which may be stored in a non-transitory computer readable storage medium, which when executed causes the steps of the present invention to be performed. Any reference herein to memory, storage, databases, or other media may include non-volatile and/or volatile memory, as appropriate. Examples of non-volatile memory include read-only memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), flash memory, magnetic tape, floppy disk, magneto-optical data storage device, hard disk, solid state disk, and the like. Examples of volatile memory include Random Access Memory (RAM), external cache memory, and the like.

The respective technical features described above may be arbitrarily combined. Although not all possible combinations of features are described, any combination of features should be considered to be covered by the present specification as long as there is no contradiction between such combinations.

Furthermore, it should be understood that although the present specification describes embodiments, not every embodiment includes only a single embodiment, and such description is for clarity purposes only, and it is to be understood that all embodiments may be combined as appropriate by one of ordinary skill in the art to form other embodiments as will be apparent to those of skill in the art from the description herein.

Claims (10)

1. A method for managing a mold, characterized in that,

periodically acquiring a detection signal of a pressure sensor arranged in a mold according to a first detection period;

analyzing the signal, comparing the pressure data obtained after analysis with a target threshold interval, and periodically acquiring a detection signal of the pressure sensor according to a second detection period when the pressure data is not located in the target threshold interval;

acquiring and analyzing detection signals of a first preset number of times, comparing analyzed data with a target threshold interval respectively, if the number of times of the signals which are not positioned in the target threshold interval exceeds a second preset number of times, calling working parameters of the injection molding machine in sequence according to the priority level in a preset injection molding machine parameter priority level sequence, adjusting and executing the called working parameters according to a first preset proportion, and acquiring detection signals of a pressure sensor according to a third detection period after each parameter adjustment;

and acquiring and analyzing detection signals of a third preset number of times according to a third detection period, comparing the analyzed data with the target threshold interval respectively, counting, and if the data increment close to the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval, continuing to adjust the current adjusted parameter according to the first preset proportion until the analyzed data is located in the target threshold interval.

2. A method of managing molds according to claim 1, further comprising:

if the data increment close to the target threshold interval in the current third detection period is larger than the data increment far away from the target threshold interval, increasing the current parameter according to a first preset proportion of the current parameter until the pressure data is positioned in the target threshold interval;

and if the data increment close to the target threshold interval in the current third detection period is smaller than or equal to the data increment far away from the target threshold interval, reducing the current parameter according to a second preset proportion of the current parameter until the pressure data is positioned in the target threshold interval.

3. A method of mold management according to claim 2, further comprising:

and if the data increment close to the target threshold interval in the next third detection period is still smaller than or equal to the data increment far away from the target threshold interval, canceling the parameter adjustment and adjusting the next priority parameter of the injection molding machine according to the preset parameter priority sequence of the injection molding machine until the pressure data are positioned in the target threshold interval.

4. The mold management method according to claim 1, wherein the target threshold interval is calculated according to preset three-dimensional model size, dimensional tolerance, current injection material density and weight tolerance of the current injection molding workpiece.

5. A method of managing molds according to claim 3, characterized in that it further comprises:

and the third detection period is calculated according to the current injection frequency and a third preset time.

6. The mold management method of claim 1, wherein said pre-setting injection molding machine parameter priority sequence comprises:

adjusting the temperature of the die to a first priority; adjusting the melt adhesive temperature to a second priority; adjusting the injection pressure to a third priority; adjusting the injection molding speed to a fourth priority; adjusting the screw speed to a fifth priority; adjusting the hold pressure to a sixth priority; adjusting the hold time to a seventh priority; the curing time is adjusted to an eighth priority.

7. The mold management method of claim 1, wherein the second inspection period is shorter than the first inspection period.

8. The mold management method according to claim 5, wherein the first detection period is 15 minutes, the second detection period is 10 minutes, the first predetermined number of times is 10 times, the second predetermined number of times is 6 times, the third predetermined number of times is 5 times, the first predetermined ratio is 1%, and the second predetermined ratio is 1.5%.

9. A mold management system, comprising:

the server is used for calculating a target threshold interval, periodically acquiring detection signals of the pressure sensor according to a first detection period, a second detection period or a third detection period and acquiring detection signals of the counter, and is in wireless communication connection with the detection module and the parameter adjusting module respectively; acquiring and analyzing a detection signal sent by a detection module and sending a parameter adjusting signal to a parameter adjusting module;

the detection module comprises a pressure sensor and a counter and is used for acquiring pressure data and injection frequency data of a workpiece injected by a mold each time;

and the parameter adjusting module is in wireless communication connection with the server and is used for adjusting and executing parameters of the injection molding machine.

10. An electronic device, comprising:

a memory; and a processor having computer readable instructions stored thereon which, when executed by the processor, implement a method of managing moulds according to any of claims 1 to 8.

Images