Use method and system of mold counter, electronic equipment and readable storage medium

Abstract

The invention provides a using method and system of a mold counter, electronic equipment and a readable storage medium. The method comprises the steps that environment data, production load data of mechanical production equipment and current magnetic flux of the mold counter are acquired; under the condition that the environment data and / or the current magnetic flux of the mold counter meet the abnormal condition, a shutdown instruction and prompt information are output; the shutdown instruction is used for controlling the mechanical production equipment to stop running, and the prompt information is used for indicating to-be-replaced mold counters; and under the condition that the environment data and the current magnetic flux of the mold counter do not meet the abnormal condition, determining the detection frequency of the mold counter according to the environment data, the production load data and the magnetic flux. The mold counter is reminded to be replaced by monitoring the environment data and the magnetic flux, missing detection of the mold counter can be avoided, the counting accuracy of the mold counter is guaranteed, and then abnormal data in the production process is avoided.

Description

Technical Field

[0001] This application belongs to the technical field of mechanical manufacturing, and particularly relates to a method for using a mold counter, a system, an electronic device, and a readable storage medium. Background Art

[0002] The traditional magnetic mold counter is a counting device that combines magnetic induction technology and mechanical transmission technology. It realizes counting by sensing the change of the magnetic field through the production action of the production equipment.

[0003] However, the magnetic field induction value of the magnetic induction switch inside the traditional magnetic mold counter may decay, and it is prone to situations such as missed detection and inaccurate counting, resulting in abnormal data during the production process. Summary of the Invention

[0004] Embodiments of the present invention provide a method for using a mold counter, a system, an electronic device, and a readable storage medium, which can solve the problems of easy occurrence of missed detection, inaccurate counting, etc., resulting in abnormal data during the production process.

[0005] In a first aspect, the present application provides a method for using a mold counter, and the method includes: Obtain environmental data, production load data of a mechanical production device, and the current magnetic flux of the mold counter; When the environmental data and / or the current magnetic flux of the mold counter meet the abnormal conditions, output a stop instruction and a prompt message; the stop instruction is used to control the mechanical production device to stop operating, and the prompt message is used to indicate that the mold counter needs to be replaced; When the environmental data and the current magnetic flux of the mold counter do not meet the abnormal conditions, determine the detection frequency of the mold counter according to the environmental data, the production load data, and the magnetic flux.

[0006] Optionally, the abnormal conditions include any one of the following: The environmental data indicates the existence of abnormal vibration; The current magnetic flux of the mold counter is less than the magnetic flux threshold; The current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold, and the environmental data indicates the existence of abnormal vibration.

[0007] Optionally, when the environmental data and the current magnetic flux of the mold counter do not meet the abnormal conditions, determining the detection frequency of the mold counter according to the environmental data, the production load data, and the magnetic flux includes: When the current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold and the environmental data indicates no abnormal vibration, determine the detection frequency of the mold counter according to the environmental data, the production load data, and the magnetic flux.

[0008] Optionally, the environmental data includes humidity data, temperature data, vibration data, and dust amount data, and the production load data includes the number of production times, single - time pressure, and vibration intensity. Determining the detection frequency of the mold counter according to the environmental data, the production load data, and the magnetic flux includes: Determine an environmental compensation parameter according to the humidity data, the temperature data, the vibration data, and the dust amount data; Determine a production load compensation parameter according to the number of production times, the single - time pressure, and the vibration intensity; Determine a magnetic flux attenuation value according to the difference between the initial magnetic flux and the current magnetic flux of the mold counter; Determine the detection frequency of the mold counter according to the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value.

[0009] Optionally, determining the detection frequency of the mold counter according to the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value includes: Input the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value into a preset detection frequency calculation formula to obtain the detection frequency of the mold counter.

[0010] Optionally, the method further includes: Obtain the power of the mold counter; When the power of the mold counter is less than the power threshold, charge the mold counter through a wireless charging module.

[0011] Optionally, the method further includes: Determine the life - cycle data of the mold counter according to the installation time, detection records, and charging records of the mold counter; When outputting the shutdown instruction and the prompt information, generate and output a maintenance work order for the mold counter according to the life - cycle data, the prompt information, and the identifier of the mold counter.

[0012] In a second aspect, the present application provides a usage system for a mold counter. The system includes a mold counter, a sensor, and a computing node; the sensor is disposed on the mold counter; The sensor is used to obtain environmental data, production load data of mechanical production equipment, and the current magnetic flux of the die counter. The computing node is configured to output a shutdown instruction and a prompt message when the environmental data and / or the current magnetic flux of the die counter meet the abnormal conditions; the shutdown instruction is used to control the mechanical production equipment to stop running, and the prompt message is used to indicate that the die counter needs to be replaced; when the environmental data and the current magnetic flux of the die counter do not meet the abnormal conditions, the detection frequency of the die counter is determined according to the environmental data, the production load data, and the magnetic flux.

[0013] Optionally, the system further includes an Internet of Things platform; The Internet of Things platform is configured to determine the life cycle data of the die counter according to the magnetic flux decay curve; generate and output a maintenance work order for the die counter according to the life cycle data, the prompt message, and the identifier of the die counter.

[0014] Optionally, the system further includes a wireless charging module; The wireless charging module is configured to charge the die counter when the power of the die counter is less than the power threshold.

[0015] In a third aspect, the present application provides an electronic device, including the usage system of the above-mentioned die counter.

[0016] In a fourth aspect, the present application provides a readable storage medium, when the instructions in the readable storage medium are executed by a processor of an electronic device, enabling the electronic device to execute the above-mentioned usage method of the die counter.

[0017] In the embodiments of the present application, first, it is determined whether the abnormal conditions are met according to the environmental data and the current magnetic flux of the die counter. The method of multi-modal data fusion is adopted to determine whether the abnormal conditions are met, which improves the accuracy of judgment and reduces the misjudgment rate of abnormal situations; secondly, when the abnormal conditions are met, the die counter is reminded to be replaced by monitoring the environmental data and the magnetic flux, avoiding missed detection of the die counter, ensuring the counting accuracy of the die counter, and further avoiding abnormal data in the production process; finally, when the abnormal conditions are not met, the detection frequency of the die counter is determined in combination with the production load data, which can take into account the complex situations in the production process, improve the detection accuracy of the die counter while saving computing resources. Description of the Drawings

[0018] To more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a flowchart of the steps of a method for using a mold counter provided by an embodiment of the present application.

[0020] Figure 2 It is a detailed flowchart of the steps of a method for using a mold counter provided by an embodiment of the present application.

[0021] Figure 3 It is a schematic diagram of the overall architecture of a system for using a mold counter provided by an embodiment of the present application.

[0022] Figure 4 It is a schematic diagram of the overall architecture of another system for using a mold counter provided by an embodiment of the present application.

[0023] Figure 5 It is a flowchart of the steps of another method for using a mold counter provided by an embodiment of the present application.

[0024] Figure 6 It is a structural diagram of a device for using a mold counter provided by an embodiment of the present application.

[0025] Figure 7 It is a structural diagram of an electronic device provided by an embodiment of the present application.

[0026] Figure 8 It is a structural diagram of another electronic device provided by an embodiment of the present application. Detailed implementation manners

[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present application belong to the scope of protection of the present application.

[0028] In the description of the present application, the terms "first", "second", etc. in the specification and claims are used to distinguish similar objects, rather than to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are usually of the same category, and do not limit the number of objects. For example, the first object can be one or more. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / ", generally represents an "or" relationship between the associated objects before and after.

[0029] In the description of the present disclosure, unless otherwise specified, "a plurality" means two or more, and other quantifiers are similar; "at least one (item)", "one (item) or more (items)" or similar expressions refer to any combination of these items (items), including any combination of a single item (item) or plural items (items). For example, at least one (item) a can represent any number of a; for another example, one (item) or more (items) of a, b, and c can represent: a, b, c, a - b, a - c, b - c, or a - b - c, where a, b, c can be single or multiple; "and / or" is an association relationship describing associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Among them, A and B can be singular or plural. The character " / " represents an "or" relationship between the associated objects before and after.

[0030] In the embodiments of the present disclosure, although operations or steps are described in a specific order in the drawings, it should not be understood that these operations or steps are required to be performed in the specific order shown or in a serial order, or that all the operations or steps shown are required to be performed to obtain the desired result. In the embodiments of the present disclosure, these operations or steps can be performed serially; they can also be performed in parallel; or a part of these operations or steps can be performed.

[0031] Using a mold to produce a product blank is an important part of the current machining industry. A mold has a service life, but it is impossible to accurately judge the number of times a mold has been used just by the naked eye. Therefore, a device for counting the number of mold closings needs to be specifically set up. During production, a mold counter is exactly a device that can record the number of mold openings and closings. The user only needs to refer to the reading on the mold counter to know the number of products produced and can monitor the mold life.

[0032] A mold counter generally includes: a main housing, and a vertically arranged pressing rod with its top end extending outside the main housing. When the mold is closed, the pressing rod is pressed down by the mold. Each time the pressing rod is pressed down, the mold counter counts once. The specific structure of the mold counter belongs to the prior art and will not be elaborated here. The conventional usage method of the mold counter includes: fixing the main housing of the mold counter to the lower mold, with the top end of the pressing rod facing the upper mold. The upper mold is provided with a contact surface corresponding to the top end of the pressing rod. The contact surface is directly above the top end of the pressing rod, and the top end of the pressing rod is for the contact surface to rest against. Before the mold is closed, the contact surface does not contact the pressing rod, and the pressing rod is not pressed by the upper mold. Under the action of an elastic member (such as a spring), the pressing rod partially extends outside the main housing, that is, the top end of the pressing rod extends outside the main housing (the top end of the pressing rod is above the main housing). When the mold is closed, the upper mold descends. During the descent of the upper mold, the contact surface rests against the top end of the pressing rod and further presses the pressing rod down. The downward pressing of the pressing rod can trigger the mold counter to count once. When the mold is opened, the contact surface disengages from the pressing rod as the upper mold rises and resets, and the pressing rod resets under the action of an elastic member (such as a spring) to await the next closing and counting. Each time the mold is closed, the pressing rod is pressed down once; each time the pressing rod is pressed down, the mold counter counts once.

[0033] The number of times a mold counter is used is limited. After producing a certain number of products, it needs to be maintained, scrapped, etc. Currently, the mold counter equipment used on the production line adopts magnetic induction counting, that is, a magnetic mold counter. The magnetic mold counter needs to detect the magnetic markings of the moving parts of the mold through magnetic sensors (such as magnetic switches, Hall sensors), convert the mechanical action into an electrical signal, and then achieve counting through an electronic circuit or chip. For example, in the structural form of using a magnet and a Hall sensor, when the magnet moves to the position where the Hall sensor is located, according to the Hall effect principle, the Hall sensor will generate an electrical signal, and this electrical signal corresponds to one closing of the plastic mold.

[0034] Traditional magnetic mold counters often encounter the following problems when in use: 1. Insufficient monitoring of the attenuation of its own magnetic flux: The fixed detection frequency or the phased detection method cannot adapt to the non-linear attenuation characteristics, resulting in missed detections or resource waste.

[0035] 2. Failure to consider environmental interference: Environmental factors such as temperature, humidity, vibration, and dust volume will all affect the speed of magnetic flux attenuation.

[0036] 3. Difficult power supply maintenance: In complex industrial scenarios, the wired power supply wiring is cumbersome, and the cost of battery replacement is relatively high.

[0037] 4. Data isolation: Lack of trustworthy traceability and collaborative management throughout the life cycle.

[0038] To solve the above technical problems, the present application provides a method, a system, an electronic device, and a readable storage medium for using a mold counter. First, according to the environmental data and the current magnetic flux of the mold counter, a multimodal data fusion method is used to determine whether an abnormal condition is met, which improves the accuracy of judgment and reduces the misjudgment rate of abnormal situations. Secondly, when the abnormal condition is met, the environmental data and the magnetic flux are monitored to remind to replace the mold counter, avoiding missed inspection of the mold counter and ensuring the counting accuracy of the mold counter. Finally, when the abnormal condition is not met, the detection frequency of the mold counter is determined in combination with the production load data, which can take into account the complex situations in the production process, improve the accuracy of magnetic flux detection, and save computing resources.

[0039] The following details the method for using the mold counter provided in the embodiments of the present application.

[0040] Figure 1 is a flowchart of the steps of a method for using a mold counter provided in the embodiments of the present application, as Figure 1 shown. This method is applied to the system for using a mold counter, and the method may include the following steps.

[0041] Step 101, obtain environmental data, production load data of the mechanical production equipment, and the current magnetic flux of the mold counter.

[0042] In the embodiments of the present application, the environmental data may be the environmental data of the production workshop.

[0043] In a possible implementation, the environmental data is obtained through a variety of sensors and detection devices pre-set in the production workshop.

[0044] For example, the environmental data includes humidity data, temperature data, vibration data, and dust amount data. The humidity data is obtained through a humidity sensor, the temperature data is obtained through a temperature sensor, the vibration data is obtained through a vibration sensor, and the dust amount data is obtained through a dust concentration detector.

[0045] In the embodiments of the present application, the production load data of the mechanical production equipment includes equipment status and tooling data, the on-off status of the equipment, alarm data, real-time data such as the operating pressure, speed, and temperature of the equipment, and the time data corresponding to these equipment status data, as well as the usage information such as the model and life of the tooling mold. For example, the production load data of the mechanical production equipment includes: the production times of the mechanical production equipment, the single pressure of the mechanical production equipment, and the vibration intensity of the mechanical production equipment.

[0046] In a possible implementation, the production load data of the mechanical production equipment is periodically collected through the Distributed Control System (DCS) or Programmable Logic Controller (PLC) built into the mechanical production equipment and displayed through a display device; the user inputs the production load data displayed by the display device into the usage system of the mold counter.

[0047] In a possible implementation, the current magnetic flux of the mold counter is obtained through a magnetic flux sensor provided on the mold counter.

[0048] Step 102: Output a stop instruction and a prompt message when the environmental data and / or the current magnetic flux of the mold counter meet the abnormal conditions.

[0049] In the embodiment of the present application, the stop instruction is used to control the mechanical production equipment to stop running, and the prompt message is used to indicate that the mold counter needs to be replaced.

[0050] In some embodiments, the abnormal conditions include any one of the following: The environmental data indicates abnormal vibration; The current magnetic flux of the mold counter is less than the magnetic flux threshold; The current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold, and the environmental data indicates abnormal vibration.

[0051] In a possible implementation, when the current magnetic flux of the mold counter meets the abnormal conditions, a stop instruction is sent to the mechanical production equipment where the mold counter is located to control the mechanical production equipment where the mold counter is located to stop running, and a prompt message is output through an audible and visual alarm device to remind to replace the mold counter.

[0052] It should be noted that as the usage time of the mold counter increases, the magnetic field induction value of the magnetic sensor inside the mold counter may decay, resulting in the magnetic value not reaching the threshold requirement when the mold is opened and closed for production, and there is no effective counting, resulting in inaccurate counting. If it is not replaced in time, it is easy to cause abnormal production data. Therefore, if the current magnetic flux of the mold counter meets the abnormal conditions, in order to ensure the accuracy of counting, it is necessary to remind to replace the mold counter in time. Further, under some abnormal conditions, it is necessary to control the mechanical production equipment to stop running.

[0053] In another possible implementation, when the environmental data meets the abnormal conditions, or when the environmental data and the current magnetic flux of the mold counter meet the abnormal conditions, a shutdown instruction is sent to multiple mechanical production devices within a preset area to control the multiple mechanical production devices within the preset area to stop operating. Herein, the preset area may be the area where a production workshop is located, or may also be a preset range centered on the mold counter; a prompt message is output through an acoustic-optic alarm device to prompt that the mold counter within the preset area needs to be replaced.

[0054] In some embodiments, the prompt message is further used to prompt for mold inspection and maintenance to ensure the normal operation of the mold and extend its service life.

[0055] Step 103: When both the environmental data and the current magnetic flux of the mold counter do not meet the abnormal conditions, determine the detection frequency of the mold counter according to the environmental data, production load data, and magnetic flux.

[0056] In the embodiments of the present application, the detection frequency of the mold counter may be the frequency of obtaining the environmental data, the production load data of the mechanical production device, and the current magnetic flux of the mold counter.

[0057] In the embodiments of the present application, the detection frequency of the mold counter can be dynamically adjusted.

[0058] It should be noted that during the production process, due to complex production conditions and the magnetic flux attenuation of the mold counter, it is necessary to reduce the detection frequency when the production conditions change gently or the magnetic flux attenuation is relatively light to save computing resources, and increase the detection frequency and shorten the detection time interval to avoid missed detection when the production conditions change suddenly or the magnetic flux decays significantly. Moreover, the magnetic flux attenuation of the mold counter is non-linear, and environmental factors such as temperature, humidity, vibration, and dust amount will all affect the magnetic flux attenuation. A fixed detection frequency or a phased detection method cannot achieve accurate detection. Therefore, it is necessary to dynamically adjust and calculate the detection frequency of the mold counter.

[0059] In a possible implementation, that both the environmental data and the current magnetic flux of the mold counter do not meet the abnormal conditions includes: the current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold, and the environmental data indicates no abnormal vibration.

[0060] In a possible implementation, by inputting the environmental data, production load data, and magnetic flux into a machine learning model, the target detection frequency output by the machine learning model is obtained, and the detection frequency of the mold counter is adjusted according to the target detection frequency.

[0061] In another possible implementation, the environmental data includes humidity data, temperature data, vibration data, and dust amount data, and the production load data includes the number of production times, single - time pressure, and vibration intensity. Determining the detection frequency of the mold counter according to the environmental data, production load data, and magnetic flux includes: determining the detection frequency of the mold counter according to the humidity data, temperature data, vibration data, dust amount data, number of production times, single - time pressure, vibration intensity, and magnetic flux.

[0062] In summary, for the method of using the mold counter in the embodiments of the present application, first, it is determined whether the abnormal condition is met according to the environmental data and the current magnetic flux of the mold counter. A multi - modal data fusion method is used to determine whether the abnormal condition is met, which improves the accuracy of the determination and reduces the false - positive rate of abnormal situations. Secondly, when the abnormal condition is met, the mold counter is reminded to be replaced by monitoring the environmental data and magnetic flux, avoiding missed detections of the mold counter, ensuring the counting accuracy of the mold counter, and thus avoiding abnormal data during the production process. Finally, when the abnormal condition is not met, the detection frequency of the mold counter is determined in combination with the production load data, which can take into account the complex situations during the production process, improve the detection accuracy of the mold counter while saving computing resources.

[0063] Figure 2 is a specific step flowchart of a method for using a mold counter provided by an embodiment of the present application. Refer to Figure 2 , and this method may include the following steps.

[0064] Step 201: Obtain the environmental data, the production load data of the mechanical production equipment, and the current magnetic flux of the mold counter.

[0065] The method of this step has been described in the foregoing step 101 and will not be elaborated here.

[0066] Step 202: Output a stop instruction and a prompt message when the environmental data and / or the current magnetic flux of the mold counter meets the abnormal condition.

[0067] In some embodiments, step 202 may include any one of sub - steps 2021 to 2023.

[0068] Sub - step 2021: Output a stop instruction and a prompt message when the environmental data indicates abnormal vibration. Sub - step 2022: Output a stop instruction and a prompt message when the current magnetic flux of the mold counter is less than the magnetic flux threshold.

[0069] Sub - step 2023: Output a stop instruction and a prompt message when the current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold and the environmental data indicates abnormal vibration.

[0070] In the embodiments of the present application, the magnetic flux threshold may be 80% of the initial magnetic flux (factory value) of the die counter, or the magnetic flux threshold may be set according to the actual situation, and the present application does not make specific limitations.

[0071] In a possible implementation, calculate the current magnetic flux decay rate according to the current magnetic flux and the initial magnetic flux of the die counter. When the magnetic flux decay rate is greater than a preset decay rate threshold, output a shutdown instruction and a prompt message. For example, the decay rate threshold may be 5% per hour.

[0072] In some embodiments, the environmental data includes vibration data, where the vibration data is obtained by a vibration sensor. The vibration sensor is directly fixed on the support structure of the die counter or adjacent to the mechanical transmission component to capture mechanical vibration signals, and abnormal vibration is obtained by analyzing the vibration data.

[0073] In a possible implementation, analyzing whether there is abnormal vibration according to the vibration data may include: analyzing the vibration signal in the vibration data by wavelet transform; generating a vibration event when the vibration energy entropy of the vibration signal suddenly increases or the energy in a preset frequency band is concentrated. Among them, the sudden increase in vibration energy entropy means that the vibration energy entropy is greater than 30% of the baseline value, and the preset frequency band includes 2 kHz; when the occurrence times of the vibration event are greater than a preset threshold, it is determined that there is abnormal vibration.

[0074] Exemplarily, the vibration energy entropy sudden increase or the energy in the preset frequency band of the vibration signal can be calculated periodically, and the vibration event is updated every 10 seconds. If the vibration event is detected continuously for 3 times, it is determined that there is abnormal vibration, and a shutdown instruction and a prompt message are output.

[0075] Through the above technical solutions, monitor the magnetic flux decay of the die counter and the environmental data. When the current magnetic flux decays severely and / or there is abnormal vibration in the environmental data, output a shutdown instruction and remind to replace the die calculator, which can avoid missed detection or resource waste.

[0076] In other embodiments, the environmental data includes vibration data and acoustic wave signals. The acoustic wave signals are obtained by an acoustic emission sensor. The acoustic emission sensor is attached to the die surface by magnetic adsorption or gluing to detect the acoustic wave signals generated by internal cracks or wear of the material.

[0077] Exemplarily, the vibration sensor uses a piezoelectric accelerometer with a frequency response range of 0.5 Hertz (Hz) - 10 kilohertz (kHz) and a sensitivity of 100 millivolts per gravitational acceleration (mV / g) to obtain vibration data, and the acoustic emission sensor selects a broadband acoustic emission sensor with a frequency response range of 20 kHz - 1 megahertz (MHz).

[0078] In another possible implementation, before sub-step 202, the use of the above die counter may further include: determining whether there is abnormal vibration based on the acoustic signal, vibration data, and the current magnetic flux of the die counter.

[0079] In one possible implementation, determining whether there is abnormal vibration based on the acoustic signal, vibration data, and the current magnetic flux of the die counter may include: unifying the timestamps of all sensor data through an edge computing node and performing spatial calibration; amplifying and filtering the vibration signals corresponding to the acoustic signal and vibration data through a signal conditioning circuit; performing wavelet transform and feature extraction on the vibration signals and acoustic emission signals to obtain mechanical wear signals; and determining whether there is abnormal vibration based on the mechanical wear signals.

[0080] Exemplarily, the preamplifier gain is set to 100 times, the bandwidth is limited to 10 Hz - 5 kHz, high-frequency noise is filtered out, and an anti-aliasing filter is added; the acoustic emission signal is pre-amplified by 40 decibels (dB) and band-pass filtered to suppress ambient noise. Among them, the sampling rate of the vibration signal is 10 kHz, and the sampling rate of the acoustic emission signal is 2 MHz. Daubechies4 (db4) is selected as the wavelet basis function. For the vibration signal, 5-layer decomposition is performed, the detail coefficients of the 3rd - 5th layers are extracted, and the energy entropy (EnergyEntropy) of each layer is calculated; for the acoustic emission signal, 8-layer decomposition is performed to extract the detail coefficients of the 6th - 8th layers, and the peak count (PeakCount) and ring-down count (Ring-down Count) are calculated. When the vibration energy entropy of the vibration signal is greater than 30% of the baseline value, it indicates bearing or gear wear; when the energy is in the 2 kHz frequency band, it indicates abnormal mechanical resonance. When the peak count rate of the acoustic emission signal is greater than 100 / s, it indicates the propagation of microscopic cracks in the material; when the ring-down count rate of the acoustic emission signal suddenly increases, it indicates the risk of macroscopic structural fracture of the material. When at least one of bearing or gear wear, abnormal mechanical resonance, propagation of microscopic cracks in the material, and risk of macroscopic structural fracture of the material occurs, there is abnormal vibration.

[0081] Among them, the vibration energy entropy of the vibration signal can be calculated by the following formula.

[0082]

[0083]

[0084]

[0085] In the above formula, is the detail coefficient of the a-th layer, represents the vibration energy of the a-th layer, represents the sum of the vibration energies of all layers, and Entropy represents the vibration energy entropy of the vibration signal.

[0086] In some embodiments, the method for using the above mold counter may further include sub-step A1 and sub-step A3.

[0087] Sub-step A1: When the environmental data and the current magnetic flux of the mold counter meet the abnormal conditions, determine the current warning level according to the acoustic signal, vibration data, and the current magnetic flux of the mold counter, where the warning level includes the first level and the second level.

[0088] Sub-step A2: When the current warning level is the first level, output a shutdown instruction.

[0089] Sub-step A3: When the current warning level is the second level, output a prompt message.

[0090] In a possible implementation manner, determining the current warning level according to the acoustic signal, vibration data, and the current magnetic flux may include: inputting the acoustic emission peak count rate corresponding to the acoustic signal, the vibration energy entropy corresponding to the vibration data, and the magnetic flux decay rate corresponding to the current magnetic flux into a preset fusion formula to obtain the current warning level.

[0091] Exemplarily, the preset fusion formula may be the following formula.

[0092]

[0093] In the above formula, represents the risk level score, represents the magnetic flux decay rate, represents the vibration energy entropy, represents the acoustic emission peak count rate, , , represent the weights of different parameters. For example, = 0.5, = 0.3, = 0.2.

[0094] When ≥0.8 or at least two of the acoustic emission peak count rate, vibration energy entropy, and magnetic flux decay rate are respectively greater than the corresponding thresholds, determine that the current warning level is the first level; when or any one of the acoustic emission peak count rate, vibration energy entropy, and magnetic flux decay rate is greater than the corresponding threshold, determine that the current warning level is the second level.

[0095] In a possible implementation manner, when In the case, generate log information according to the current magnetic flux of the mold counter and the environmental data, and periodically output a log viewing prompt message.

[0096] Step 203: When the current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold and the environmental data indicates no abnormal vibration, determine the detection frequency of the mold counter according to the environmental data, production load data, and magnetic flux.

[0097] In some embodiments, the environmental data includes humidity data, temperature data, vibration data, and dust amount data, and the production load data includes the number of production times, single - time pressure, and vibration intensity.

[0098] It should be noted that during the production process, due to the complex production conditions and the magnetic flux attenuation of the mold counter, it is necessary to reduce the detection frequency when the production conditions change smoothly or the magnetic flux attenuation is relatively light to save computing resources, and increase the detection frequency and shorten the detection time interval to avoid missed detection when the production conditions change suddenly or the magnetic flux decays significantly. Moreover, the magnetic flux attenuation of the mold counter is non - linear, and environmental factors such as temperature, humidity, vibration, and dust amount will all affect the magnetic flux attenuation. Fixed detection frequencies or phased detection methods cannot achieve accurate detection. Therefore, it is necessary to dynamically adjust the detection frequency of calculating the mold counter.

[0099] Through the above technical solutions, by monitoring the magnetic flux attenuation of the mold counter and the environmental data, and dynamically adjusting the detection frequency of the mold counter when the current magnetic flux is greater than or equal to the magnetic flux threshold and the environmental data indicates no abnormal vibration, accurate detection of the mold counter can be achieved.

[0100] In some embodiments, step 203 may include sub - steps 2031 to 2034.

[0101] Sub - step 2031: Determine the environmental compensation parameter according to the humidity data, temperature data, vibration data, and dust amount data.

[0102] Sub - step 2032: Determine the production load compensation parameter according to the number of production times, single - time pressure, and vibration intensity.

[0103] Sub - step 2033: Determine the magnetic flux attenuation value according to the difference between the initial magnetic flux and the current magnetic flux of the mold counter.

[0104] Sub - step 2034: Determine the detection frequency of the mold counter according to the environmental compensation parameter, production load compensation parameter, and magnetic flux attenuation value.

[0105] In a possible implementation, sub-step 2031 may include: normalizing humidity data, temperature data, vibration data, and dust amount data to obtain a normalization result; performing weighted calculation on the normalization result to obtain an environmental compensation parameter.

[0106] It should be noted that in data processing, normalization is a process of converting data with different ranges and dimensions into a unified scale, aiming to avoid model bias caused by data scale differences and improve calculation efficiency and accuracy.

[0107] Exemplarily, taking the temperature data (T) as an example, the normalization process can be through the following formula.

[0108]

[0109] In the above formula, represents the normalization result of the temperature data, represents the minimum value of the temperature data, represents the maximum value of the temperature data.

[0110] It should be noted that the processing methods of vibration data (V) and dust amount data (D) are similar and will not be elaborated here.

[0111] Since the humidity data (H) is usually expressed as a percentage, such as 60%, dividing the original humidity data by 100 directly can convert the humidity data into a normalization result, as shown below.

[0112]

[0113] Among them, represents the normalization result of the temperature data.

[0114] Exemplarily, the weighted calculation of the normalization result to obtain the environmental compensation parameter is through the following formula.

[0115] In the above formula, , , , represent the weights of different parameters, and can be optimized according to historical data by using a Long Short-Term Memory (LSTM) model. For example, when a sudden increase in humidity is detected, increase .

[0116] In a possible implementation, sub-step 2031 may include: inputting the production times, single pressure, and vibration intensity into a first calculation formula to obtain a production load compensation parameter.

[0117] Exemplarily, the first calculation formula includes:

[0118] In the above formula, α, β, and γ are weight coefficients, which can be optimized by an LSTM model according to historical data.

[0119] In a possible implementation, sub-step 2033 may include: using the difference between the initial magnetic flux and the current magnetic flux of the mold counter as the magnetic flux attenuation value.

[0120] Exemplarily, the initial magnetic flux is X, and at the i-th detection, the current magnetic flux detected by the j-th mold counter is , and the magnetic flux attenuation value is X - .

[0121] In some embodiments, sub-step 2034 may include: inputting the environmental compensation parameter, production load compensation parameter, and magnetic flux attenuation value into the detection frequency calculation formula to obtain the detection frequency of the mold counter.

[0122] Exemplarily, the detection frequency calculation formula may include the following formula.

[0123]

[0124] In the above formula, represents the detection time interval of the j-th mold counter at the i-th detection; A represents the slope of the control inverse trigonometric function curve, determining the influence intensity of the attenuation rate on the detection frequency, B represents the normalization range for adjusting the denominator term, balancing the sensitivity and stability of the formula model, C represents the weight factor of the environmental compensation coefficient, quantifying the additional influence of environmental parameters on the detection interval, D represents the load compensation weight factor, dynamically adjusted by a machine learning model, represents the environmental compensation parameter, represents the production load compensation parameter.

[0125] It should be noted that through the arctan function, a non-linear mapping of magnetic flux attenuation is realized. When the magnetic flux approaches the initial value X, tends to 0, the arctan output is small, and the detection interval is mainly affected by the environmental compensation term and . At this time, the detection frequency is low, saving resources. When the magnetic flux significantly decays , the value of arctan increases rapidly, and A dominates the accelerated adjustment of the detection frequency, shortening the time interval to avoid missed detection. The environmental compensation term reflects the influence of the production environment in real time. For example, in a high-temperature environment, the magnetic flux attenuation accelerates, Increase and shorten the detection interval; in a high-vibration environment, the system sensitivity is improved, and the C value may be dynamically increased.

[0126] Through the above technical solution, the detection frequency of the mold counter is calculated using the detection frequency calculation formula, and the coefficients of each compensation parameter are dynamically adjusted by the machine learning model according to historical data, which can adapt to the attenuation characteristics of different production lines.

[0127] In some other embodiments, intermittent detection is used when the magnetic flux of the mold counter is stable, and continuous monitoring is switched to when the magnetic flux attenuation of the mold counter accelerates, where the detection frequency of intermittent detection is less than the detection frequency of continuous monitoring.

[0128] Through the above technical solution, not only considering the influence of environmental factors such as temperature, humidity, vibration, and dust amount on magnetic flux attenuation, but also determining the detection frequency of the mold counter in combination with production load data, it can take into account the complex situations in the production process, make the detection frequency adapt to the non-linear attenuation characteristics of magnetic flux, and improve the detection accuracy.

[0129] In some embodiments, after sub-step 2034, the above method for using the mold counter may further include: inputting the environmental compensation parameter, production load compensation parameter, and magnetic flux attenuation value into the trained magnetic flux attenuation model to obtain the magnetic flux attenuation curve output by the magnetic flux attenuation model.

[0130] In the embodiments of the present application, the magnetic flux attenuation model may be an LSTM model.

[0131] It can be understood that environmental factors such as temperature, humidity, vibration, and dust amount will all affect the speed of magnetic flux attenuation. According to the environmental compensation parameter, production load compensation parameter, and magnetic flux attenuation value, the accuracy of the magnetic flux attenuation curve can be improved.

[0132] Step 204: Obtain the power of the mold counter.

[0133] In a possible implementation manner, the power of the mold counter is obtained through the voltage of the mold counter.

[0134] In another possible implementation manner, the power of the mold counter is obtained through the battery management module of the mold counter.

[0135] Step 205: When the power of the mold counter is less than the power threshold, charge the mold counter through the wireless charging module.

[0136] In the embodiments of the present application, the power threshold may be 20% of the initial power of the mold counter.

[0137] In a possible implementation, step 205 may include: using magnetic resonance wireless charging interference suppression technology to charge the mold counter through a wireless charging module.

[0138] Exemplarily, magnetic resonance wireless charging realizes energy transfer at a specific frequency (such as 6.78 MHz) through the resonant coils of the transmitter and the receiver. Through magnetic field resonance coupling, the energy transfer efficiency is maximized while electromagnetic leakage is reduced. The wireless charging module includes a resonant coil, a power amplifier, and a frequency controller. The resonant coil is wound with multi-strand stranded wire (Litz wire) to reduce high-frequency losses. The power amplifier dynamically adjusts the output power (5W - 30W) to adapt to the power consumption requirements of different mold counters. The frequency controller adjusts the resonant frequency in real time based on the FPGA chip to match the requirements of the receiver. Correspondingly, the mold counter includes a resonant coil and a rectification and voltage regulation circuit. The resonant coil is integrated inside the mold counter housing with a compact size (diameter ≤ 3 cm). The rectification and voltage regulation circuit: converts high-frequency alternating current into direct current and outputs a stable voltage (such as 5V).

[0139] Through the above technical solution, in the case of cumbersome wired power supply wiring or other complex industrial scenarios, charging the mold counter through a wireless charging module can reduce the battery replacement cost and ensure the power supply of the mold counter.

[0140] In some other embodiments, after charging the mold counter through a wireless charging module using magnetic resonance wireless charging interference suppression technology, the above method for using the mold counter may further include: when there is electromagnetic interference in the operating frequency band of the magnetic flux sensor, adjusting the charging frequency according to a preset offset range so that the interference intensity is always lower than the interference threshold.

[0141] Exemplarily, the preset offset range is 5% and the interference threshold is 1%. Spectrum analysis modules are deployed at the charging end and the sensor end to scan the ambient electromagnetic noise in real time; if interference is detected near the operating frequency band of the magnetic flux sensor (such as 50 kHz), the charging frequency is adjusted from 6.78 MHz to 6.8 MHz, and the offset amplitude is dynamically adjusted according to the interference suppression effect to ensure that the interference intensity is always lower than 1%.

[0142] In a possible implementation, the wireless charging module further includes an electromagnetic shielding layer, which is used to reduce the interference to the current magnetic flux of the mold counter during the charging process.

[0143] Through the above technical solution, considering the influence of wireless magnetic induction charging on the magnetic flux sensor, in the charging process, a scheme of adjusting the charging frequency or electromagnetic shielding is adopted to reduce the interference intensity to the magnetic flux sensor, which can ensure the accuracy of obtaining the current magnetic flux during the charging process.

[0144] Step 206: Determine the lifecycle data of the mold counter based on its installation time, detection records, and charging records.

[0145] In a possible implementation, the installation time, detection records, and charging records of the mold counter are periodically uploaded to the Internet of Things platform in the usage system of the mold counter.

[0146] In some embodiments, each mold counter has a unique identifier. When the mold counter is installed on a mechanical production device, the identifier and installation time of the mold counter are uploaded to the Internet of Things platform in the usage system of the mold counter; during the use of the mold counter, the identifier detection records and charging records detection of the mold counter are uploaded to the Internet of Things platform in the usage system of the mold counter.

[0147] Exemplarily, the detection records include the power value, magnetic flux, etc. of each detection, and the charging records include the charging date, pre-charging power, charging duration, etc.

[0148] Step 207: When an output shutdown instruction and a prompt message are given, generate and output a maintenance work order for the mold counter based on the lifecycle data, prompt message, and the identifier of the mold counter.

[0149] In the embodiments of the present application, the maintenance work order includes the lifecycle information of the mold counter, the time of the prompt message, the location of the mold counter, etc.

[0150] In a possible implementation, the time when the prompt message is output is used as the time of the prompt message, and the location of the mold counter is determined according to the identifier of the mold counter; the lifecycle data, the time when the prompt message is output, and the location of the mold counter are generated into a maintenance work order in a preset format and output in a preset output form.

[0151] Exemplarily, the maintenance work order is output to the mobile phone of the maintenance personnel through the Internet of Things platform, and the blockchain record is synchronized.

[0152] In another possible implementation, the maintenance work order further includes a warning level and a recommended treatment plan. According to the prompt message and a preset corresponding relationship, the warning level and the recommended treatment plan associated with the warning level are determined, where the warning level includes a first level and a second level; the maintenance work order is generated in a preset format and output in a preset output form.

[0153] In some embodiments, the above method for using the mold counter may further include: uploading the lifecycle data, prompt message, and the identifier of the mold counter to the cloud digital twin model in real time to achieve remote monitoring and maintenance decision-making.

[0154] Through the above technical solution, outputting the life cycle data of the mold counter in the form of a maintenance work order is beneficial to the efficient management of a large number of mold counters and is also beneficial to subsequent auditing and quality traceability of compliance.

[0155] In summary, for the method of using the mold counter in the embodiments of the present application, first, by adopting the LSTM prediction model, compared with the traditional fixed detection frequency and phased detection scheme, the prediction accuracy of magnetic flux attenuation is improved and the missed detection rate is reduced. Second, the wireless charging module reduces the manual maintenance cost. Third, by using multi-sensor fusion detection and judgment, the misjudgment rate is decreased. Finally, the blockchain stores the full life cycle data to support data auditing and quality traceability.

[0156] Figure 3 For the overall architecture schematic diagram of a system for using a mold counter provided by an embodiment of the present application, see Figure 3 As shown, the system for using a mold counter includes a mold counter, sensors, and a computing node; the sensors are arranged on the mold counter.

[0157] The sensors are used to obtain environmental data, production load data of mechanical production equipment, and the current magnetic flux of the mold counter.

[0158] The computing node is used to output a stop instruction and a prompt message when the environmental data and / or the current magnetic flux of the mold counter meet the abnormal conditions; the stop instruction is used to control the mechanical production equipment to stop running, and the prompt message is used to indicate that the mold counter needs to be replaced; when the environmental data and the current magnetic flux of the mold counter do not meet the abnormal conditions, the detection frequency of the mold counter is determined according to the environmental data, production load data, and magnetic flux.

[0159] In a possible implementation, the sensors include a humidity sensor, a temperature sensor, a vibration sensor, and a dust concentration detector. The humidity data is obtained through the humidity sensor, the temperature data is obtained through the temperature sensor, the vibration data is obtained through the vibration sensor, and the dust amount data is obtained through the dust concentration detector.

[0160] In some embodiments, see Figure 4 , the system for using a mold counter further includes an Internet of Things platform and a wireless charging module.

[0161] The Internet of Things platform is used to determine the life cycle data of the mold counter according to the magnetic flux attenuation curve; generate and output a maintenance work order for the mold counter according to the life cycle data, the prompt message, and the identifier of the mold counter.

[0162] The wireless charging module is used to charge the mold counter when the power of the mold counter is less than the power threshold.

[0163] In an embodiment of the present application, the sensor includes a magnetic flux sensor and an environmental sensor. The magnetic flux sensor is used to obtain the current magnetic flux of the die counter, and the environmental sensor is used to obtain environmental data.

[0164] In a possible implementation, the wireless charging module further includes an electromagnetic shielding layer, which is used to reduce the interference to the current magnetic flux of the die counter during the charging process.

[0165] Exemplarily, the electromagnetic shielding layer includes an outer conductive layer, an inner magnetic conductive layer, and an insulating isolation layer. The outer conductive layer is wrapped with copper foil to reflect high-frequency electromagnetic waves. The inner magnetic conductive layer uses a high magnetic permeability material (such as permalloy) to absorb low-frequency magnetic field interference. The insulating isolation layer adds a polyimide film between the conductive layer and the magnetic conductive layer to prevent short circuits. The electromagnetic shielding layer is seamlessly connected to the die counter housing to avoid magnetic flux leakage at the edges. A circular closed magnetic circuit is formed around the die counter coil to reduce magnetic field leakage. The electromagnetic shielding layer is grounded at multiple points to reduce common-mode interference.

[0166] In another possible implementation, the wireless charging module and the magnetic flux sensor are respectively arranged on different Printed Circuit Board (PCB) layers. A ground isolation layer is provided between the wireless charging module and the magnetic flux sensor. The wireless charging module and the magnetic flux sensor adopt independent power supplies and grounding circuits to avoid common-ground interference. A band-pass filter (6.78 MHz ± 1%) is installed on the wireless charging module to filter out non-resonant frequency noise, and a low-pass filter (cut-off frequency 100 kHz) is installed on the magnetic flux sensor to filter out high-frequency interference.

[0167] In a possible implementation, the Internet of Things platform is further used to upload the life cycle data to the blockchain database.

[0168] In another possible implementation, the Internet of Things platform is further used to upload the life cycle data, prompt information, and the identification data of the die counter to the cloud digital twin model in real time to achieve remote monitoring and maintenance decision-making.

[0169] In summary, for the system for using a mold counter in the embodiments of the present application, first, it determines whether an abnormal condition is met based on environmental data and the current magnetic flux of the mold counter. By adopting a multi-modal data fusion method to determine whether the abnormal condition is met, the accuracy of the determination is improved, and the false positive rate of abnormal situations is reduced. Second, when the abnormal condition is met, it reminds to replace the mold counter by monitoring the environmental data and magnetic flux, avoiding missed inspections of the mold counter, ensuring the counting accuracy of the mold counter, and thus avoiding abnormal data during the production process. Finally, when the abnormal condition is not met, it determines the detection frequency of the mold counter in combination with production load data, which can take into account the complex situations during the production process, improve the detection accuracy of the mold counter while saving computing resources.

[0170] Figure 5 FIG. is a flowchart of steps of another method for using a mold counter provided by an embodiment of the present application. Refer to Figure 5 , and this method may include the following steps.

[0171] Step 301: Start the production machine and initialize the system.

[0172] Step 302: Activate the wireless charging module.

[0173] Step 303: Determine whether the battery power of the mold counter is lower than 20%. If it is lower than 20%, execute Step 304; if it is not lower than 20%, the process ends.

[0174] Step 304: Trigger magnetic resonance to charge the device and dynamically adjust the frequency.

[0175] In the embodiments of the present application, dynamically adjusting the frequency can suppress interference with detection.

[0176] Step 305: Detect environmental data and the current magnetic flux, and upload them to the Internet of Things platform.

[0177] Step 306: Determine whether the current magnetic flux is lower than a preset value. If it is lower than the preset value, execute Step 310; if it is not lower than the preset value, execute Step 307.

[0178] Step 307: Determine whether there is abnormal vibration in the environmental data. If there is, execute Step 310; if there is not, execute Step 308.

[0179] Step 308: Use the LSTM model to predict the attenuation curve of the magnetic flux of the mold counter.

[0180] In the embodiments of the present application, the calculated values of the updated parameters A, B, C, and D are used to dynamically adjust the detection frequency to make it more suitable for the actual production situation.

[0181] Step 309: Determine whether the time between the current moment and the last magnetic flux detection time is greater than the detection interval. If it is greater than the detection interval, return to execute Step 305; if it is less than the detection interval, the process ends.

[0182] In the embodiment of the present application, the detection interval is the reciprocal of the detection frequency.

[0183] Step 310: Stop the operation of the machine equipment and output a prompt message.

[0184] Step 311: Generate a maintenance work order for the corresponding equipment according to the stored life cycle data of the mold counter.

[0185] In the embodiment of the present application, the work order content includes the life cycle information of the problem counter, the time when the alarm is triggered, the alarm type, the location of the counter, and the recommended treatment plan.

[0186] In the embodiment of the present application, the life cycle data can be stored in the blockchain.

[0187] Step 312: The maintenance personnel operate the automated guided vehicle to maintain the equipment according to the generated work order instructions.

[0188] In the embodiment of the present application, the automated guided vehicle (AFV) plans the optimal path to the target location (mold storage area or faulty equipment point) according to the factory layout and the real-time environment (such as obstacles, other moving devices) until the problem is eliminated.

[0189] In summary, for the method of using the mold counter in the embodiment of the present application, first, the LSTM prediction model is adopted, which improves the prediction accuracy of magnetic flux attenuation and reduces the missed detection rate compared with the traditional fixed detection frequency and phased detection scheme. Second, the wireless charging module reduces the manual maintenance cost. Third, the use of multi-sensor fusion detection and judgment reduces the misjudgment rate. Finally, the blockchain stores the full life cycle data to support data auditing and quality traceability.

[0190] Figure 6 It is a structural diagram of a device for using a mold counter provided by an embodiment of the present application. The device 600 for using the mold counter may include the following modules.

[0191] An acquisition module 601, configured to acquire environmental data, production load data of mechanical production equipment, and the current magnetic flux of the mold counter.

[0192] An output module 602, configured to output a shutdown instruction and a prompt message when the environmental data and / or the current magnetic flux of the mold counter meet the abnormal conditions; the shutdown instruction is used to control the mechanical production equipment to stop operating, and the prompt message is used to indicate that the mold counter needs to be replaced.

[0193] A determination module 603, configured to determine the detection frequency of the mold counter according to the environmental data, production load data, and magnetic flux when neither the environmental data nor the current magnetic flux of the mold counter meets the abnormal conditions.

[0194] Optionally, the abnormal conditions include any one of the following: The environmental data indicates the existence of abnormal vibration; The current magnetic flux of the mold counter is less than the magnetic flux threshold; The current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold, and the environmental data indicates the existence of abnormal vibration.

[0195] Optionally, the determination module 603 includes: a first determination sub-module, configured to determine the detection frequency of the mold counter according to the environmental data, production load data, and magnetic flux when the current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold and the environmental data does not indicate the existence of abnormal vibration.

[0196] Optionally, the environmental data includes humidity data, temperature data, vibration data, and dust amount data, and the production load data includes the number of production times, single - time pressure, and vibration intensity. The first determination sub-module includes: A first determination unit, configured to determine an environmental compensation parameter according to the humidity data, temperature data, vibration data, and dust amount data; A second determination unit, configured to determine a production load compensation parameter according to the number of production times, single - time pressure, and vibration intensity; A third determination unit, configured to determine a magnetic flux attenuation value according to the difference between the initial magnetic flux and the current magnetic flux of the mold counter; A fourth determination unit, configured to determine the detection frequency of the mold counter according to the environmental compensation parameter, production load compensation parameter, and magnetic flux attenuation value.

[0197] Optionally, the fourth determination unit includes: a calculation sub - unit, configured to input the environmental compensation parameter, production load compensation parameter, and magnetic flux attenuation value into a preset detection frequency calculation formula to obtain the detection frequency of the mold counter.

[0198] Optionally, the device 600 for using the mold counter further includes: A power acquisition module, configured to acquire the power of the mold counter; A wireless charging module, configured to charge the mold counter through the wireless charging module when the power of the mold counter is less than the power threshold.

[0199] Optionally, the device 600 for using the mold counter further includes: A data determination module, configured to determine the lifecycle data of the mold counter according to the installation time, detection records, and charging records of the mold counter; A work order output module, configured to generate and output a maintenance work order for the mold counter according to the lifecycle data, prompt information, and the identifier of the mold counter when outputting a shutdown instruction and prompt information.

[0200] For the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple. For related parts, please refer to the partial description of the method embodiments.

[0201] This application also provides an electronic device. Refer to Figure 7 , the electronic device 700 may include one or more of the following components: a processing component 702, a memory 704, a power supply component 706, a multimedia component 708, an audio component 710, an input / output (I / O) interface 712, a sensor component 714, and a communication component 716.

[0202] The processing component 702 generally controls the overall operation of the electronic device 700, such as operations associated with display, telephone calls, data communication, camera operations, and recording operations. The processing component 702 may include one or more processors 720 to execute instructions to complete all or part of the steps of the above methods. In addition, the processing component 702 may include one or more modules to facilitate the interaction between the processing component 702 and other components. For example, the processing component 702 may include a multimedia module to facilitate the interaction between the multimedia component 708 and the processing component 702.

[0203] The memory 704 is used to store various types of data to support the operation of the electronic device 700. Examples of such data include instructions for any application or method operating on the electronic device 700, contact data, phone book data, messages, pictures, multimedia, etc. The memory 704 may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disk.

[0204] The power supply component 706 provides power to various components of the electronic device 700. The power supply component 706 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 700.

[0205] The multimedia component 708 includes an interface that provides an output interface between the electronic device 700 and the user. In some embodiments, the interface may include a liquid crystal display (LCD) and a touch panel (TP). If the interface includes a touch panel, the interface can be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can sense not only the boundaries of touch or swipe actions but also detect the duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 708 includes a front camera and / or a rear camera. When the electronic device 700 is in an operating mode, such as a shooting mode or a multimedia mode, the front camera and / or the rear camera can receive external multimedia data. Each of the front camera and the rear camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.

[0206] The audio component 710 is used to output and / or input audio signals. For example, the audio component 710 includes a microphone (MIC) that is used to receive external audio signals when the electronic device 700 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 704 or transmitted via the communication component 716. In some embodiments, the audio component 710 further includes a speaker for outputting audio signals.

[0207] The input / output I / O interface 712 provides an interface between the processing component 702 and a peripheral interface module, and the peripheral interface module can be a keyboard, a click wheel, buttons, etc. These buttons can include but are not limited to: a home button, a volume button, a power button, and a lock button.

[0208] The sensor component 714 includes one or more sensors for providing a status assessment of various aspects of the electronic device 700. For example, the sensor component 714 can detect the on / off state of the electronic device 700, the relative positioning of components, such as the display and the keypad of the electronic device 700. The sensor component 714 can also detect a change in the position of the electronic device 700 or a component of the electronic device 700, the presence or absence of user contact with the electronic device 700, the orientation or acceleration / deceleration of the electronic device 700, and the temperature change of the electronic device 700. The sensor component 714 can include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor component 714 can also include a light sensor, such as a CMOS or a CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 714 can further include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0209] The communication component 716 is used to facilitate communication between the electronic device 700 and other devices in a wired or wireless manner. The electronic device 700 can access a wireless network according to a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an exemplary embodiment, the communication component 716 receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 716 further includes a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented according to Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0210] In an exemplary embodiment, the electronic device 700 can be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for implementing a method of using a die counter provided in an embodiment of the present application.

[0211] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 704 including instructions, and the above instructions can be executed by a processor 720 of the electronic device 700 to complete the above method. For example, the non-transitory storage medium can be a ROM, Random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, and optical data storage device, etc.

[0212] Figure 8 is a block diagram of an electronic device 800 according to another embodiment of the present invention. For example, the electronic device 800 can be provided as a server. Referring to Figure 8 , the electronic device 800 includes a processing component 822, which further includes one or more processors, and memory resources represented by a memory 832 for storing instructions executable by the processing component 822, such as application programs. The application programs stored in the memory 832 can include one or more modules each corresponding to a set of instructions. In addition, the processing component 822 is configured to execute instructions to perform a method of using a die counter provided in an embodiment of the present application.

[0213] The electronic device 800 may further include a power supply component 826 configured to perform power management of the electronic device 800, a wired or wireless network interface 850 configured to connect the electronic device 800 to a network, and an input / output (I / O) interface 858. The electronic device 800 may operate according to an operating system stored in the memory 832, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSD TM or the like.

[0214] In an embodiment of the present application, the memory 832 can be used to store software programs and various data. The memory 832 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data. Among them, the first storage area may store an operating system, applications or instructions required for at least one function (such as a sound playback function, an image playback function, etc.). In addition, the memory 832 may include volatile memory or non-volatile memory, or the memory 832 may include both volatile and non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDR SDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM), and a direct rambus random access memory (DRRAM). The memory 832 in the embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

[0215] The processor may include one or more processing units; optionally, the processor integrates an application processor and a modem processor. Among them, the application processor mainly processes operations related to the operating system, user interface, application programs, etc., and the modem processor mainly processes wireless communication signals, such as a baseband processor. It can be understood that the above-mentioned modem processor may not be integrated into the processor either.

[0216] The present application also provides a readable storage medium. When the instructions in the readable storage medium are executed by the processor of the electronic device, the electronic device can execute the usage method of the mold counter in the foregoing embodiments.

[0217] The embodiments of the present application provide a computer program product. The program product is stored in a storage medium and is executed by at least one processor to implement each process of the control method embodiment of the computer room air conditioner as described above, and can achieve the same technical effects. To avoid repetition, it will not be elaborated here.

[0218] It should be noted that in this article, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or also includes elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of another identical element in the process, method, article or device including that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in a reverse order according to the functions involved. For example, the described methods may be performed in an order different from that described, and various steps may be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0219] Through the description of the above embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the related technology, can be embodied in the form of a computer software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0220] The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above specific embodiments. The above specific embodiments are merely illustrative rather than restrictive. Under the inspiration of the present application, those of ordinary skill in the art can also make many forms without departing from the purpose of the present application and the scope protected by the claims, and all of them fall within the protection scope of the present application.

Claims

1. A method for using a mold counter, characterized in that The method includes: Obtaining environmental data, production load data of mechanical production equipment, and the current magnetic flux of a die counter; When the environmental data and / or the current magnetic flux of the die counter meet the abnormal conditions, outputting a stop instruction and a prompt message; the stop instruction is used to control the mechanical production equipment to stop running, and the prompt message is used to indicate that the die counter needs to be replaced; When neither the environmental data nor the current magnetic flux of the die counter meets the abnormal conditions, determining the detection frequency of the die counter according to the environmental data, the production load data, and the magnetic flux.

2. The method according to claim 1, wherein The abnormal conditions include any one of the following: The environmental data indicates the existence of abnormal vibration; The current magnetic flux of the die counter is less than the magnetic flux threshold; The current magnetic flux of the die counter is greater than or equal to the magnetic flux threshold, and the environmental data indicates the existence of abnormal vibration.

3. The method according to claim 1, characterized in that, The step of determining the detection frequency of the die counter according to the environmental data, the production load data, and the magnetic flux when neither the environmental data nor the current magnetic flux of the die counter meets the abnormal conditions includes: When the current magnetic flux of the die counter is greater than or equal to the magnetic flux threshold and the environmental data indicates no abnormal vibration, determining the detection frequency of the die counter according to the environmental data, the production load data, and the magnetic flux.

4. The method according to claim 3, characterized in that The environmental data includes humidity data, temperature data, vibration data, and dust amount data, and the production load data includes the number of production times, single - time pressure, and vibration intensity. The step of determining the detection frequency of the die counter according to the environmental data, the production load data, and the magnetic flux includes: Determining an environmental compensation parameter according to the humidity data, the temperature data, the vibration data, and the dust amount data; Determining a production load compensation parameter according to the number of production times, the single - time pressure, and the vibration intensity; Determining a magnetic flux attenuation value according to the difference between the initial magnetic flux and the current magnetic flux of the die counter; Determining the detection frequency of the die counter according to the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value.

5. The method according to claim 4, characterized in that The step of determining the detection frequency of the die counter according to the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value includes: Inputting the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value into a preset detection frequency calculation formula to obtain the detection frequency of the die counter.

6. The method according to any one of claims 1 to 5, characterized in that, The method further includes: Obtaining the power of the die counter; When the power of the die counter is less than the power threshold, charging the die counter through a wireless charging module.

7. The method according to any one of claims 1 to 5, characterized in that, The method further includes: Determining the life - cycle data of the die counter according to the installation time, detection records, and charging records of the die counter. When the shutdown instruction and the prompt message are output, a maintenance work order for the die counter is generated and output according to the lifecycle data, the prompt message, and the identification of the die counter.

8. A usage system of a mold counter, characterized in that, The system includes a die counter, a sensor, and a computing node; the sensor is disposed on the die counter; The sensor is configured to obtain environmental data, production load data of the mechanical production equipment, and the current magnetic flux of the die counter. The computing node is configured to output a shutdown instruction and a prompt message when the environmental data and / or the current magnetic flux of the die counter meet an abnormal condition; the shutdown instruction is used to control the mechanical production equipment to stop operating, and the prompt message is used to indicate that the die counter needs to be replaced; when the environmental data and the current magnetic flux of the die counter do not meet the abnormal condition, the detection frequency of the die counter is determined according to the environmental data, the production load data, and the magnetic flux.

9. The system according to claim 8, wherein The system further includes an Internet of Things platform; The Internet of Things platform is configured to determine the lifecycle data of the die counter according to the magnetic flux decay curve; generate and output a maintenance work order for the die counter according to the lifecycle data, the prompt message, and the identification of the die counter.

10. The system according to claim 8, wherein The system further includes a wireless charging module; The wireless charging module is configured to charge the die counter when the power of the die counter is less than a power threshold.

11. An electronic device, characterized in that, A usage system of a die counter comprising the die counter according to any one of claims 8 to 10.

12. A readable storage medium, characterized in that, A program or instruction is stored on a readable storage medium, and when the program or instruction is executed by a processor, the usage method of the die counter according to any one of claims 1 to 7 is implemented.

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