Method for using mold counter, system, electronic device and readable storage medium

Abstract

The present application provides a method, system, electronic device, and readable storage medium for using a mold counter. The method includes: obtaining environmental data, production load data of mechanical production equipment, and the current magnetic flux of the mold counter; outputting a shutdown instruction and a prompt message when the environmental data and / or the current magnetic flux of the mold counter meet 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; when neither the environmental data nor the current magnetic flux of the mold counter meets the abnormal conditions, determining the detection frequency of the mold counter based on the environmental data, production load data, and magnetic flux. By monitoring the environmental data and magnetic flux to remind the mold counter to be replaced, the present application can avoid missed detections of the mold counter, ensure the counting accuracy of the mold counter, and thus avoid abnormal data during the production process.

Description

Technical Field

[0001] The present application belongs to the field of mechanical manufacturing technology, and in particular 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 with mechanical transmission technology. It counts by sensing changes in the magnetic field during the production action of the production equipment.

[0003] However, the magnetic field sensing value of the magnetic induction switch inside the traditional magnetic mold counter may attenuate, which may easily lead to missed detections, inaccurate counting, etc., resulting in abnormal data during the production process. Summary of the Invention

[0004] The 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 problem of missed detection, inaccurate counting, etc., which may lead to abnormal data in the production process.

[0005] In a first aspect, the present application provides a method for using a mold counter, the method comprising:

[0006] Obtain environmental data, production load data of mechanical production equipment and current magnetic flux of mold counter;

[0007] When the environmental data and / or the current magnetic flux of the mold counter meet an abnormal condition, a shutdown instruction and a prompt message are output; 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 is to be replaced;

[0008] When neither the environmental data nor the current magnetic flux of the mold counter satisfies the abnormal condition, a detection frequency of the mold counter is determined according to the environmental data, the production load data, and the magnetic flux.

[0009] Optionally, the abnormal condition includes any one of the following:

[0010] The environmental data indicates the presence of abnormal vibrations;

[0011] The current magnetic flux of the mold counter is less than a magnetic flux threshold;

[0012] The current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold, and the environmental data indicates the presence of abnormal vibration.

[0013] Optionally, when neither the environmental data nor the current magnetic flux of the mold counter satisfies the abnormal condition, determining the detection frequency of the mold counter according to the environmental data, the production load data, and the magnetic flux includes:

[0014] When the current magnetic flux of the mold counter is greater than or equal to a magnetic flux threshold and the environmental data indicates that there is no abnormal vibration, the detection frequency of the mold counter is determined according to the environmental data, the production load data and the magnetic flux.

[0015] Optionally, the environmental data includes humidity data, temperature data, vibration data, and dust volume data, and the production load data includes production times, single pressure, and vibration intensity. Determining the detection frequency of the mold counter based on the environmental data, the production load data, and the magnetic flux includes:

[0016] determining an environmental compensation parameter according to the humidity data, the temperature data, the vibration data, and the dust amount data;

[0017] determining a production load compensation parameter according to the number of productions, the single pressure, and the vibration intensity;

[0018] determining a magnetic flux attenuation value according to a difference between an initial magnetic flux of the mold counter and the current magnetic flux;

[0019] The detection frequency of the mold counter is determined according to the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value.

[0020] 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:

[0021] The environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value are input into a preset detection frequency calculation formula to obtain the detection frequency of the mold counter.

[0022] Optionally, the method further includes:

[0023] Obtaining the power level of the mold counter;

[0024] When the power level of the mold counter is less than a power threshold, the mold counter is charged through a wireless charging module.

[0025] Optionally, the method further includes:

[0026] Determining life cycle data of the mold counter based on the installation time, inspection record, and charging record of the mold counter;

[0027] When the shutdown instruction and the prompt information are output, a maintenance work order for the mold counter is generated and output according to the life cycle data, the prompt information and the identifier of the mold counter.

[0028] In a second aspect, the present application provides a system for using a mold counter, the system comprising a mold counter, a sensor, and a computing node; the sensor is disposed on the mold counter;

[0029] The sensor is used to obtain environmental data, production load data of mechanical production equipment and current magnetic flux of the mold counter;

[0030] The computing node is used to output a shutdown instruction and a prompt message when the environmental data and / or the current magnetic flux of the mold 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 mold counter needs to be replaced; when neither the environmental data nor the current magnetic flux of the mold counter meets the abnormal condition, the detection frequency of the mold counter is determined based on the environmental data, the production load data and the magnetic flux.

[0031] Optionally, the system further includes an Internet of Things platform;

[0032] 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 information and the identifier of the mold counter.

[0033] Optionally, the system further includes a wireless charging module;

[0034] The wireless charging module is used to charge the mold counter when the power level of the mold counter is less than a power threshold.

[0035] In a third aspect, the present application provides an electronic device, including a system for using the above-mentioned mold counter.

[0036] In a fourth aspect, the present application provides a readable storage medium, which, when the instructions in the readable storage medium are executed by a processor of an electronic device, enables the electronic device to execute the method for using the above-mentioned mold counter.

[0037] In an embodiment of the present application, first, whether the abnormal conditions are met is determined based on the environmental data and the current magnetic flux of the mold counter, and a multimodal data fusion method is adopted to determine whether the abnormal conditions are met, thereby improving the accuracy of the judgment and reducing the misjudgment rate of abnormal situations; secondly, when the abnormal conditions are met, the mold counter is replaced by monitoring the environmental data and magnetic flux, thereby avoiding missed detection of the mold counter, ensuring the counting accuracy of the mold counter, and thus avoiding the occurrence of abnormal data in the production process; finally, when the abnormal conditions are 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, while improving the detection accuracy of the mold counter and saving computing resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0039] Figure 1 This is a step flow chart of a method for using a mold counter provided in an embodiment of the present application.

[0040] Figure 2 This is a flowchart of the specific steps of a method for using a mold counter provided in an embodiment of the present application.

[0041] Figure 3 A schematic diagram of the overall architecture of a mold counter usage system provided in an embodiment of the present application.

[0042] Figure 4 A schematic diagram of the overall architecture of another mold counter usage system provided in an embodiment of the present application.

[0043] Figure 5 This is a step flow chart of another method for using a mold counter provided in an embodiment of the present application.

[0044] Figure 6 This is a structural diagram of a device for using a mold counter provided in an embodiment of the present application.

[0045] Figure 7 This is a structural diagram of an electronic device provided in an embodiment of the present application.

[0046] Figure 8 This is a structural diagram of another electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0048] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0049] In the description of this disclosure, unless otherwise specified, "plurality" refers to two or more than two, and other quantifiers are similar; "at least one item", "one or more items" or similar expressions refer to any combination of these items, including any combination of single or plural items. For example, at least one item a can represent any number of a; for another example, one or more items among a, b, and c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or plural; "and / or" is a type of relationship that describes the association of related objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone, where A and B can be singular or plural. The character " / " indicates that the related objects are in an "or" relationship.

[0050] Although operations or steps are described in a particular order in the drawings in the embodiments of the present disclosure, this should not be understood as requiring that these operations or steps be performed in the particular order shown or in a serial order, or that all of the operations or steps shown be performed to obtain a desired result. In the embodiments of the present disclosure, these operations or steps may be performed serially; these operations or steps may also be performed in parallel; or some of these operations or steps may be performed.

[0051] Using molds to produce product blanks is a crucial part of the machining industry. Molds have a lifespan, but the naked eye alone cannot accurately determine how many times a mold has been used. Therefore, a dedicated device is needed to count the number of times a mold has been closed. During production, a mold counter records the number of times a mold has been opened and closed. Users simply use the reading on the mold counter to determine the number of products produced and monitor the mold's lifespan.

[0052] A mold counter generally includes: a main housing, and a vertical pressure rod with its top end extending outside the main housing. When the mold is closed, the pressure rod is pressed downward by the mold. Each time the pressure rod is pressed downward, the mold counter counts once. The specific structure of the mold counter belongs to the existing technology and will not be described in detail here. The method of using a conventional mold counter includes: the main housing of the mold counter is fixed to the lower mold, the top end of the pressure rod faces the upper mold, and the upper mold is provided with a contact surface corresponding to the top end of the pressure rod. The contact surface is located directly above the top end of the pressure rod, and the top end of the pressure rod is abutted by the contact surface. Before the mold is closed, the contact surface does not contact the pressure rod, and the pressure rod is not pressed by the upper mold. Under the action of an elastic member (such as a spring), the pressure rod partially extends outside the main housing, that is, the top end of the pressure rod extends outside the main housing (the top end of the pressure rod is located above the main housing). When the mold is closed, the upper mold descends. During the descent of the upper mold, the contact surface abuts against the top end of the pressure rod and further presses the pressure rod downward. The downward pressure of the pressure rod can trigger the mold counter to count once. When the mold is opened, the contact surface separates from the pressure rod as the upper mold rises and resets. The pressure rod is then reset by an elastic member (such as a spring) to prepare for the next mold closing count. Each time the mold is closed, the pressure rod is pressed down once, and each time the pressure rod is pressed down, the mold counter counts once.

[0053] Mold counters have a limited number of uses; after producing a certain number of products, they need maintenance and scrapping. The mold counters currently used on production lines utilize magnetic induction counting, also known as magnetic mold counters. These use magnetic sensors (such as magnetic switches and Hall sensors) to detect magnetic marks on the mold's moving parts, converting the mechanical motion into electrical signals, which are then counted using electronic circuits or chips. For example, using a magnet and Hall sensor, when the magnet moves to the Hall sensor's position, the Hall sensor generates an electrical signal based on the Hall effect principle. This signal corresponds to a single closing of the plastic mold.

[0054] Traditional magnetic mold counters often encounter the following problems when in use:

[0055] 1. Insufficient monitoring of magnetic flux attenuation: Fixed detection frequency or phased detection method cannot adapt to nonlinear attenuation characteristics, resulting in missed detection or waste of resources.

[0056] 2. Not considering environmental interference: Environmental factors such as temperature, humidity, vibration and dust content will affect the rate of magnetic flux attenuation.

[0057] 3. Difficulty in power supply maintenance: In complex industrial scenarios, wired power supply wiring is cumbersome and battery replacement costs are high.

[0058] 4. Data isolation: Lack of trusted traceability and collaborative management throughout the entire life cycle.

[0059] In order to solve the above technical problems, the present application provides a method for using a mold counter, a system, an electronic device and a readable storage medium. First, based on the environmental data and the current magnetic flux of the mold counter, a multimodal data fusion method is used to determine whether the abnormal conditions are met, thereby improving the accuracy of the judgment and reducing the misjudgment rate of abnormal situations; secondly, when the abnormal conditions are met, the mold counter is replaced by monitoring the environmental data and magnetic flux, thereby avoiding missed detection of the mold counter and ensuring the counting accuracy of the mold counter; finally, when the abnormal conditions are 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 and save computing resources while improving the accuracy of magnetic flux detection.

[0060] The following describes in detail the method of using the mold counter provided in the embodiment of the present application.

[0061] Figure 1 This is a flowchart of the steps of using a mold counter provided in an embodiment of the present application. Figure 1 As shown, the method is applied to a system for using a mold counter, and the method may include the following steps.

[0062] Step 101: Acquire environmental data, production load data of mechanical production equipment, and current magnetic flux of a mold counter.

[0063] In an embodiment of the present application, the environmental data may be environmental data of a production workshop.

[0064] In a possible implementation, environmental data is acquired through a variety of sensors and detection devices pre-installed in a production workshop.

[0065] For example, environmental data includes humidity data, temperature data, vibration data, and dust quantity data. Humidity data is obtained through a humidity sensor, temperature data is obtained through a temperature sensor, vibration data is obtained through a vibration sensor, and dust quantity data is obtained through a dust concentration detector.

[0066] In the embodiments of the present application, the production load data of mechanical production equipment includes real-time data such as equipment status and tooling data, equipment power-on / off status, alarm data, equipment operating pressure, speed, temperature, etc., as well as the time data corresponding to this equipment status data, and usage information such as the model and life of the tooling mold. For example, the production load data of mechanical production equipment includes: the number of production times of the mechanical production equipment, the single pressure of the mechanical production equipment, and the vibration intensity of the mechanical production equipment.

[0067] In one possible implementation, a distributed control system (DCS) or programmable logic controller (PLC) built into the mechanical production equipment periodically collects production load data of the mechanical production equipment and displays it on a display device; the user inputs the production load data displayed on the display device into a mold counter usage system.

[0068] In a possible implementation, the current magnetic flux of the mold counter is acquired by a magnetic flux sensor provided on the mold counter.

[0069] Step 102: When the environmental data and / or the current magnetic flux of the mold counter meet abnormal conditions, output a shutdown instruction and prompt information.

[0070] In an embodiment of the present application, the shutdown instruction is used to control the mechanical production equipment to stop operating, and the prompt information is used to indicate that the mold counter needs to be replaced.

[0071] In some embodiments, the abnormal condition includes any of the following:

[0072] Environmental data indicates abnormal vibrations;

[0073] The current magnetic flux of the mold counter is less than the magnetic flux threshold;

[0074] 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.

[0075] In one possible implementation, when the current magnetic flux of the mold counter meets abnormal conditions, a shutdown command 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 operating, and a prompt message is output through an audible and visual alarm device to remind the user to replace the mold counter.

[0076] It's important to note that as mold counters age, the magnetic field readings of the magnetic sensors inside them may decay. This can cause the magnetic field readings to fall below the threshold when the mold opens and closes for production, resulting in inaccurate counts. If not promptly replaced, this can easily lead to abnormal production data. Therefore, if the current magnetic flux readings of the mold counter meet abnormal conditions, prompting prompt replacement is necessary to ensure accurate counting. Furthermore, under certain abnormal conditions, mechanical production equipment may need to be stopped.

[0077] In another possible implementation, when the environmental data meets abnormal conditions, or the environmental data and the current magnetic flux of the mold counter meet abnormal conditions, a shutdown command is sent to multiple mechanical production equipment within a preset area to control the multiple mechanical production equipment within the preset area to stop operating, wherein the preset area can be an area where a production workshop is located, and the preset area can also be a preset range centered on the mold counter; a prompt message is output through an audio-visual alarm device to prompt that the mold counter in the preset area needs to be replaced.

[0078] In some embodiments, the prompt information is also used to prompt mold inspection and maintenance to ensure the normal operation of the mold and extend its service life.

[0079] Step 103 : 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, the production load data, and the magnetic flux.

[0080] In the embodiment of the present application, the detection frequency of the mold counter may be the frequency of acquiring environmental data, production load data of mechanical production equipment, and the current magnetic flux of the mold counter.

[0081] In an embodiment of the present application, the detection frequency of the mold counter can be dynamically adjusted.

[0082] It should be noted that during the production process, due to complex production conditions and the attenuation of the mold counter's magnetic flux, it is necessary to reduce the detection frequency to conserve computing resources when production conditions change gently or when the magnetic flux attenuation is mild. In the event of sudden changes in production conditions or significant attenuation of the magnetic flux, the detection frequency should be increased and the detection interval shortened to avoid missed detections. Furthermore, the mold counter's magnetic flux attenuation is nonlinear, and environmental factors such as temperature, humidity, vibration, and dust levels can all affect magnetic flux attenuation. Fixed detection frequencies or periodic detection methods cannot achieve accurate detection. Therefore, the mold counter's detection frequency needs to be dynamically adjusted.

[0083] In a possible implementation, the environmental data and the current magnetic flux of the mold counter both fail to meet the abnormal condition, including: the current magnetic flux of the mold counter is greater than or equal to a magnetic flux threshold, and the environmental data indicates that there is no abnormal vibration.

[0084] In one possible implementation, environmental data, production load data, and magnetic flux are input into a machine learning model to obtain a target detection frequency output by the machine learning model, and the detection frequency of the mold counter is adjusted according to the target detection frequency.

[0085] In another possible implementation, the environmental data includes humidity data, temperature data, vibration data and dust quantity data, and the production load data includes production times, single pressure and vibration intensity. Determining the detection frequency of the mold counter based on the environmental data, production load data and magnetic flux includes: determining the detection frequency of the mold counter based on humidity data, temperature data, vibration data, dust quantity data, production times, single pressure, vibration intensity and magnetic flux.

[0086] To sum up, the method of using the mold counter in the embodiment of the present application, first, determines whether the abnormal conditions are met based on the environmental data and the current magnetic flux of the mold counter, and adopts a multimodal data fusion method to determine whether the abnormal conditions are met, thereby improving the accuracy of the judgment and reducing the misjudgment rate of abnormal situations; secondly, when the abnormal conditions are met, the mold counter is replaced by monitoring the environmental data and magnetic flux, thereby avoiding missed detection of the mold counter, ensuring the counting accuracy of the mold counter, and thus avoiding the occurrence of abnormal data in the production process; finally, when the abnormal conditions are 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, while improving the detection accuracy of the mold counter, saving computing resources.

[0087] Figure 2 This is a flowchart of the specific steps of the method for using a mold counter provided in the embodiment of the present application, see Figure 2 , the method may include the following steps.

[0088] Step 201: Acquire environmental data, production load data of mechanical production equipment, and current magnetic flux of a mold counter.

[0089] The method of this step has been described in the aforementioned step 101 and will not be repeated here.

[0090] Step 202: When the environmental data and / or the current magnetic flux of the mold counter meet abnormal conditions, output a shutdown instruction and prompt information.

[0091] In some embodiments, step 202 may include any one of sub-steps 2021 to 2023.

[0092] Sub-step 2021, in the case of abnormal vibration characterization of environmental data, output shutdown instructions and prompt information.

[0093] Sub-step 2022: When the current magnetic flux of the mold counter is less than the magnetic flux threshold, output a shutdown instruction and prompt information.

[0094] Sub-step 2023: When the current magnetic flux of the mold counter is greater than or equal to the magnetic flux threshold and the environmental data indicates the presence of abnormal vibration, output a shutdown instruction and prompt information.

[0095] In an embodiment of the present application, the magnetic flux threshold may be 80% of the initial magnetic flux (factory value) of the mold counter. The magnetic flux threshold may also be set according to actual conditions, and this application does not make any specific limitations.

[0096] In one possible implementation, the current magnetic flux decay rate is calculated based on the current magnetic flux and the initial magnetic flux of the mold counter. When the magnetic flux decay rate is greater than a preset decay rate threshold, a shutdown instruction and prompt information are output. For example, the decay rate threshold may be 5% per hour.

[0097] In some embodiments, the environmental data includes vibration data, wherein the vibration data is obtained through a vibration sensor, which is directly fixed to the support structure of the mold counter or the adjacent mechanical transmission component to capture the mechanical vibration signal, and the abnormal vibration is obtained based on the vibration data analysis.

[0098] In one possible implementation, analyzing vibration data for abnormal vibration may include: analyzing vibration signals in the vibration data using wavelet transform; generating a vibration event when the vibration energy entropy of the vibration signal increases suddenly or when energy in a preset frequency band is concentrated. A sudden increase in vibration energy entropy includes a vibration energy entropy exceeding 30% of a baseline value, and the preset frequency band includes 2 kHz; and determining the presence of abnormal vibration when the number of vibration events exceeds a preset threshold.

[0099] For example, the vibration energy entropy surge or preset frequency band energy of the vibration signal can be periodically calculated, and the vibration event is updated every 10 seconds. If the vibration event is detected three times in a row, it is determined that abnormal vibration exists, and a shutdown instruction and prompt information are output.

[0100] Through the above technical solution, the magnetic flux attenuation and environmental data of the mold counter are monitored. When the current magnetic flux attenuation is severe and / or there is abnormal vibration in the environmental data, a shutdown command is output and a reminder is given to replace the mold counter, which can avoid missed detection or waste of resources.

[0101] In other embodiments, the environmental data includes vibration data and acoustic wave signals. The acoustic wave signals are obtained by acoustic emission sensors. The acoustic emission sensors are magnetically or adhesively attached to the mold surface to detect acoustic wave signals generated by cracks or wear inside the material.

[0102] For example, the vibration sensor uses a piezoelectric accelerometer with a frequency response range of 0.5 Hz-10 kHz and a sensitivity of 100 millivolts per gravity acceleration (mV / g) to obtain vibration data, and the acoustic emission sensor uses a wide-band acoustic emission sensor with a frequency response range of 20 kHz-1 megahertz (MHz).

[0103] In another possible implementation, before sub-step 202 , the use of the mold counter may further include: determining whether abnormal vibration exists according to the acoustic wave signal, the vibration data, and the current magnetic flux of the mold counter.

[0104] In one possible implementation, determining whether abnormal vibration exists based on the acoustic signal, vibration data, and the current magnetic flux of the mold counter may include: unifying all sensor data with a unified timestamp through an edge computing node and performing spatial calibration; amplifying and filtering the acoustic signal and the vibration signal corresponding to the vibration data through a signal conditioning circuit; performing wavelet transform and feature extraction on the vibration signal and acoustic emission signal to obtain a mechanical wear signal; and determining whether abnormal vibration exists based on the mechanical wear signal.

[0105] For example, the preamplifier gain is set to 100x, the bandwidth is limited to 10Hz-5kHz, high-frequency noise is filtered out, and an anti-aliasing filter is added. The acoustic emission signal is preamplified at 40dB and bandpass filtered to suppress ambient noise. The sampling rate of the vibration signal is 10kHz, and the sampling rate of the acoustic emission signal is 2MHz. Daubechies4 (db4) is selected as the wavelet basis function. A 5-layer decomposition is performed on the vibration signal, extracting detail coefficients from layers 3-5 and calculating the energy entropy of each layer. For the acoustic emission signal, an 8-layer decomposition is performed to extract detail coefficients from layers 6-8 and calculate peak counts and ring-down counts. If the vibration energy entropy of the vibration signal exceeds 30% of the baseline value, it indicates bearing or gear wear. If the energy is within the 2kHz band, it indicates abnormal mechanical resonance. If the peak count rate of the acoustic emission signal exceeds 100 / s, it indicates microscopic crack propagation in the material. A sudden increase in the ring-down count rate of the acoustic emission signal indicates the risk of macrostructural fracture. Abnormal vibration exists when at least one of the following occurs: bearing or gear wear, abnormal mechanical resonance, material micro crack propagation, and risk of material macro structural fracture.

[0106] The vibration energy entropy of the vibration signal can be calculated using the following formula.

[0107]

[0108]

[0109]

[0110] In the above formula, is the detail coefficient of layer a, represents the vibration energy of layer a, It represents the sum of the vibration energy of all layers, and Entropy represents the vibration energy entropy of the vibration signal.

[0111] In some embodiments, the method for using the mold counter may further include sub-step A1 and sub-step A3.

[0112] Sub-step A1: When the environmental data and the current magnetic flux of the mold counter meet abnormal conditions, determine the current warning level based on 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.

[0113] Sub-step A2: when the current warning level is the first level, output a shutdown command.

[0114] Sub-step A3: When the current warning level is the second level, output a prompt message.

[0115] In one possible implementation, determining the current warning level based on the sound wave signal, vibration data and current magnetic flux may include: inputting the acoustic emission peak count rate corresponding to the sound wave signal, the vibration energy entropy corresponding to the vibration data and the magnetic flux attenuation rate corresponding to the current magnetic flux into a preset fusion formula to obtain the current warning level.

[0116] Exemplarily, the preset fusion formula may be the following formula.

[0117]

[0118] In the above formula, Indicates the hazard level score, represents the magnetic flux decay rate, represents the vibration energy entropy, represents the acoustic emission peak count rate, 、 、 Represents the weights of different parameters, for example, =0.5, =0.3, =0.2.

[0119] exist ≥0.8 or at least two of the acoustic emission peak count rate, vibration energy entropy and magnetic flux decay rate are greater than the corresponding thresholds, the current warning level is determined to be the first level; Or when any one of the acoustic emission peak count rate, vibration energy entropy and magnetic flux decay rate is greater than the corresponding threshold, the current warning level is determined to be the second level.

[0120] In one possible implementation, In this case, log information is generated based on the current magnetic flux and environmental data of the mold counter, and log viewing prompt information is output periodically.

[0121] 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 that there is no abnormal vibration, determine the detection frequency of the mold counter according to the environmental data, the production load data, and the magnetic flux.

[0122] In some embodiments, the environmental data includes humidity data, temperature data, vibration data, and dust volume data, and the production load data includes production times, single pressure, and vibration intensity.

[0123] It should be noted that during the production process, due to complex production conditions and the attenuation of the mold counter's magnetic flux, it is necessary to reduce the detection frequency to conserve computing resources when production conditions change gently or when the magnetic flux attenuation is mild. In the event of sudden changes in production conditions or significant attenuation of the magnetic flux, the detection frequency should be increased and the detection interval shortened to avoid missed detections. Furthermore, the mold counter's magnetic flux attenuation is nonlinear, and environmental factors such as temperature, humidity, vibration, and dust levels can all affect magnetic flux attenuation. Fixed detection frequencies or periodic detection methods cannot achieve accurate detection. Therefore, the mold counter's detection frequency needs to be dynamically adjusted.

[0124] Through the above technical solution, the magnetic flux attenuation and environmental data of the mold counter are monitored. When the current magnetic flux is greater than or equal to the magnetic flux threshold and the environmental data indicates that there is no abnormal vibration, the detection frequency of the mold counter is dynamically adjusted, thereby achieving accurate detection of the mold counter.

[0125] In some embodiments, step 203 may include sub-steps 2031 to 2034 .

[0126] Sub-step 2031: Determine environmental compensation parameters based on humidity data, temperature data, vibration data, and dust quantity data.

[0127] Sub-step 2032: Determine the production load compensation parameters according to the number of productions, the single pressure, and the vibration intensity.

[0128] 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.

[0129] Sub-step 2034: 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.

[0130] In a possible implementation, sub-step 2031 may include: normalizing the humidity data, temperature data, vibration data, and dust quantity data to obtain a normalized processing result; and performing weighted calculation on the normalized processing result to obtain an environmental compensation parameter.

[0131] It should be noted that in data processing, normalization is the process of converting data of different ranges and dimensions into a unified scale. The purpose is to avoid model deviations caused by differences in data scales and improve computational efficiency and accuracy.

[0132] For example, taking temperature data (T) as an example, the normalization process can be performed using the following formula.

[0133]

[0134] In the above formula, represents the normalized result of temperature data, Indicates the minimum value of temperature data, Indicates the maximum value of temperature data.

[0135] It should be noted that the processing methods for vibration data (V) and dust volume data (D) are similar and will not be repeated here.

[0136] Since humidity data (H) is usually expressed as a percentage, such as 60%, the raw humidity data can be directly divided by 100 to convert it into a normalized result, as shown below.

[0137]

[0138] in, Represents the normalized result of temperature data.

[0139] Exemplarily, the normalized processing result is weightedly calculated to obtain the environmental compensation parameter using the following formula.

[0140] In the above formula, 、 、 、 The weights of different parameters can be optimized using the Long Short-Term Memory (LSTM) model based on historical data. For example, when a sudden increase in humidity is detected, the .

[0141] In a possible implementation, sub-step 2031 may include: inputting the number of production times, single pressure, and vibration intensity into a first calculation formula to obtain a production load compensation parameter.

[0142] Exemplarily, the first calculation formula includes:

[0143]

[0144] In the above formula, α, β, and γ are weight coefficients, which can be optimized based on historical data using the LSTM model.

[0145] 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.

[0146] For example, the initial magnetic flux is X, and the current magnetic flux detected by the jth mold counter in the i-th detection is , the magnetic flux attenuation value is X- .

[0147] In some embodiments, sub-step 2034 may include: inputting the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value into a detection frequency calculation formula to obtain the detection frequency of the mold counter.

[0148] Exemplarily, the detection frequency calculation formula may include the following formula.

[0149]

[0150] In the above formula, represents the detection time interval of the jth mold counter during the i-th detection; A represents the slope of the inverse trigonometric function curve, which determines the influence of the attenuation rate on the detection frequency; B represents the normalized range of the denominator term, which balances the sensitivity and stability of the formula model; C represents the weight factor of the environmental compensation coefficient, which quantifies the additional impact of environmental parameters on the detection interval; and D represents the load compensation weight factor, which is dynamically adjusted by the machine learning model. represents the environmental compensation parameter, Indicates production load compensation parameters.

[0151] It should be noted that the arctan function is used to realize the nonlinear mapping of magnetic flux attenuation. When the magnetic flux approaches the initial value X, Approaching 0, the arctan output is small, and the detection interval Mainly affected by environmental compensation items and The detection frequency is low at this time, saving resources. The magnetic flux is significantly attenuated When , the value of arctan increases rapidly, A leads to the accelerated adjustment of the detection frequency, shortening the time interval to avoid missed detection. Real-time reflection of the impact of the production environment. For example, in a high temperature environment, the magnetic flux decay 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.

[0152] Through the above technical solution, the detection frequency calculation formula is used to calculate the detection frequency of the mold counter, and the coefficient of each compensation parameter is dynamically adjusted according to historical data through a machine learning model, which can adapt to the attenuation characteristics of different production lines.

[0153] In other embodiments, intermittent detection is used when the magnetic flux of the mold counter is stable, and continuous monitoring is switched when the magnetic flux of the mold counter decays and accelerates, wherein the detection frequency of the intermittent detection is lower than the detection frequency of the continuous monitoring.

[0154] Through the above technical solution, not only the influence of environmental factors such as temperature, humidity, vibration and dust amount on the attenuation of magnetic flux is taken into consideration, but also the detection frequency of the mold counter is determined in combination with production load data. This can take into account the complex situations in the production process, so that the detection frequency can adapt to the nonlinear attenuation characteristics of the magnetic flux and improve the detection accuracy.

[0155] In some embodiments, after sub-step 2034, the method for using the mold counter may further include: inputting the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value into a trained magnetic flux attenuation model to obtain a magnetic flux attenuation curve output by the magnetic flux attenuation model.

[0156] In an embodiment of the present application, the magnetic flux attenuation model may be an LSTM model.

[0157] It is understandable that environmental factors such as temperature, humidity, vibration and dust content will affect the rate of magnetic flux decay. The accuracy of the magnetic flux decay curve can be improved based on environmental compensation parameters, production load compensation parameters and magnetic flux decay values.

[0158] Step 204: Obtain the power level of the mold counter.

[0159] In a possible implementation, the electrical quantity of the mold counter is obtained through the voltage of the mold counter.

[0160] In another possible implementation, the power of the mold counter is obtained through a battery management module of the mold counter.

[0161] Step 205: When the power level of the mold counter is less than the power threshold, the mold counter is charged through the wireless charging module.

[0162] In the embodiment of the present application, the power threshold may be 20% of the initial power of the mold counter.

[0163] In a possible implementation, step 205 may include: using magnetic resonance wireless charging interference suppression technology to charge the mold counter through the wireless charging module.

[0164] For example, magnetic resonance wireless charging achieves energy transmission at a specific frequency (such as 6.78MHz) through resonant coils at the transmitter and receiver. Through magnetic field resonant coupling, energy transmission 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 twisted 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. Accordingly, the mold counter includes a resonant coil and a rectifier and voltage regulator circuit. The resonant coil is integrated into the mold counter housing and is compact (diameter ≤3cm). The rectifier and voltage regulator circuit converts high-frequency AC power into DC power and outputs a stable voltage (such as 5V).

[0165] Through the above technical solution, in situations where wired power supply wiring is cumbersome or in other complex industrial scenarios, the mold counter can be charged through a wireless charging module, which can reduce the cost of battery replacement and ensure the power supply of the mold counter.

[0166] In other embodiments, after charging the mold counter through the wireless charging module using magnetic resonance wireless charging interference suppression technology, the method of using the above-mentioned mold counter may also include: when there is electromagnetic interference in the working 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.

[0167] For example, the preset offset range is 5%, the interference threshold is 1%, and spectrum analysis modules are deployed at the charging end and the sensor end to scan the environmental electromagnetic noise in real time. If interference is detected near the working frequency band of the magnetic flux sensor (such as 50kHz), the charging frequency is adjusted from 6.78MHz to 6.8MHz, and the offset amplitude is dynamically adjusted according to the interference suppression effect to ensure that the interference intensity is always less than 1%.

[0168] In a possible implementation, the wireless charging module further includes an electromagnetic shielding layer, which is used to reduce interference with the current magnetic flux supplied to the mold counter during the charging process.

[0169] Through the above technical solution, taking into account the impact of wireless magnetic induction charging on the magnetic flux sensor, the charging frequency is adjusted or electromagnetic shielding is used during the charging process to reduce the interference intensity on the magnetic flux sensor, thereby ensuring the accuracy of obtaining the current magnetic flux during the charging process.

[0170] Step 206: Determine the life cycle data of the mold counter based on the installation time, detection record, and charging record of the mold counter.

[0171] In a possible implementation, the installation time, inspection records, and charging records of the mold counter are periodically uploaded to an Internet of Things platform in a system using the mold counter.

[0172] In some embodiments, each mold counter has a unique identifier. When the mold counter is installed on mechanical production equipment, the identifier and installation time of the mold counter are uploaded to the Internet of Things platform in the mold counter's usage system; during the use of the mold counter, the mold counter's identifier detection record and charging record detection are uploaded to the Internet of Things platform in the mold counter's usage system.

[0173] Exemplarily, the detection record includes the power value, magnetic flux, etc. of each detection, and the charging record includes the charging date, power before charging, charging time, etc.

[0174] Step 207 : When the shutdown instruction and prompt information are output, a maintenance work order for the mold counter is generated and output according to the life cycle data, the prompt information and the identifier of the mold counter.

[0175] In an embodiment of the present application, the maintenance work order includes the life cycle information of the mold counter, the time of the prompt information, the location of the mold counter, etc.

[0176] In one possible implementation, the time of outputting the prompt information is used as the time of the prompt information, and the location of the mold counter is determined according to the identification of the mold counter; the life cycle data, the time of outputting the prompt information and the location of the mold counter are used to generate a maintenance work order in a preset format, and the maintenance work order is output in a preset output form.

[0177] For example, maintenance work orders are output to the maintenance personnel’s mobile phone through the IoT platform, and blockchain records are synchronized.

[0178] In another possible implementation, the maintenance work order also includes a warning level and a suggested processing plan. Based on the prompt information and the preset correspondence, the warning level and the suggested processing plan associated with the warning level are determined, where the warning level includes the first level and the second level; the maintenance work order is generated in a preset format and output in a preset output form.

[0179] In some embodiments, the method of using the above-mentioned mold counter may also include: uploading life cycle data, prompt information and identification data of the mold counter to the cloud digital twin model in real time to realize remote monitoring and maintenance decision-making.

[0180] Through the above technical solution, the life cycle data of the mold counter is output in the form of a maintenance work order, which is conducive to the efficient management of large quantities of mold counters and is also conducive to subsequent audits and quality traceability for compliance with regulations.

[0181] In summary, the mold counter method in the embodiments of this application utilizes, first, an LSTM prediction model, which improves the accuracy of magnetic flux attenuation prediction and reduces missed detection rates compared to traditional fixed detection frequency and phased detection schemes. Secondly, the wireless charging module reduces manual maintenance costs. Thirdly, the use of multi-sensor fusion detection and judgment reduces the false positive rate. Finally, blockchain storage of full lifecycle data supports data auditing and quality traceability.

[0182] Figure 3 The overall architecture diagram of a mold counter system provided in the embodiment of the present application is shown in FIG. Figure 3 As shown, the use system of the mold counter includes a mold counter, a sensor and a computing node; the sensor is set on the mold counter.

[0183] Sensors for acquiring environmental data, production load data from mechanical production equipment, and current magnetic flux from mold counters.

[0184] The computing node is used 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; when neither the environmental data nor the current magnetic flux of the mold counter meets the abnormal conditions, the detection frequency of the mold counter is determined based on the environmental data, production load data and magnetic flux.

[0185] In one possible implementation, the sensor includes a humidity sensor, a temperature sensor, a vibration sensor, and a dust concentration detector. Humidity data is obtained through the humidity sensor, temperature data is obtained through the temperature sensor, vibration data is obtained through the vibration sensor, and dust amount data is obtained through the dust concentration detector.

[0186] In some embodiments, see Figure 4 The mold counter's usage system also includes an Internet of Things platform and a wireless charging module.

[0187] The Internet of Things platform is used to determine the life cycle data of the mold counter based on the magnetic flux attenuation curve; and generate and output the maintenance work order of the mold counter based on the life cycle data, prompt information and the identification of the mold counter.

[0188] The wireless charging module is used to charge the mold counter when the power of the mold counter is less than a power threshold.

[0189] 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 mold counter, and the environmental sensor is used to obtain environmental data.

[0190] In a possible implementation, the wireless charging module further includes an electromagnetic shielding layer, which is used to reduce interference with the current magnetic flux supplied to the mold counter during the charging process.

[0191] Exemplarily, the electromagnetic shielding layer includes an outer conductive layer, an inner magnetic permeable layer, and an insulating isolation layer. The outer conductive layer is wrapped with copper foil to reflect high-frequency electromagnetic waves. The inner magnetic permeable layer uses a high-permeability material (such as Permalloy) to absorb low-frequency magnetic field interference. The insulating isolation layer includes a polyimide film between the conductive layer and the magnetic permeable layer to prevent short circuits. The electromagnetic shielding layer is seamlessly connected to the mold counter housing to prevent edge magnetic leakage. A circular closed magnetic circuit is formed around the mold counter coil to reduce magnetic field leakage. The electromagnetic shielding layer is grounded at multiple points to reduce common-mode interference.

[0192] In another possible implementation, the wireless charging module and magnetic flux sensor are placed on separate printed circuit board (PCB) layers, separated by a ground isolation layer. They use independent power supplies and ground loops to prevent common ground interference. A bandpass filter (6.78 MHz ± 1%) is added to the wireless charging module to filter out non-resonant frequency noise, while a low-pass filter (cutoff frequency 100 kHz) is added to the magnetic flux sensor to filter out high-frequency interference.

[0193] In one possible implementation, the IoT platform is also used to upload lifecycle data to the blockchain database.

[0194] In another possible implementation, the IoT platform is also used to upload lifecycle data, prompt information, and mold counter identification data to the cloud-based digital twin model in real time to enable remote monitoring and maintenance decisions.

[0195] To sum up, the mold counter usage system in the embodiment of the present application, first, determines whether the abnormal conditions are met based on the environmental data and the current magnetic flux of the mold counter, and adopts a multimodal data fusion method to determine whether the abnormal conditions are met, thereby improving the accuracy of the judgment and reducing the misjudgment rate of abnormal situations; secondly, when the abnormal conditions are met, the mold counter is replaced by monitoring the environmental data and magnetic flux, thereby avoiding missed detection of the mold counter, ensuring the counting accuracy of the mold counter, and thus avoiding the occurrence of abnormal data in the production process; finally, when the abnormal conditions are 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, while improving the detection accuracy of the mold counter, saving computing resources.

[0196] Figure 5 This is a flowchart of another method of using a mold counter provided in an embodiment of the present application, see Figure 5 , the method may include the following steps.

[0197] Step 301: Start the production machine and initialize the system.

[0198] Step 302: Activate the wireless charging module.

[0199] Step 303: Determine whether the mold counter power level is less than 20%. If so, proceed to step 304; if not, the process ends.

[0200] Step 304: Trigger magnetic resonance to charge the device and dynamically adjust the frequency.

[0201] In the embodiment of the present application, dynamically adjusting the frequency can suppress interference with detection.

[0202] Step 305: Detect environmental data and current magnetic flux, and upload them to the Internet of Things platform.

[0203] 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 .

[0204] Step 307 : Determine whether there is abnormal vibration in the environmental data. If so, execute step 310 ; if not, execute step 308 .

[0205] Step 308: Use the LSTM model to predict the attenuation curve of the mold counter magnetic flux.

[0206] In the embodiment of the present application, the values ​​of the updated parameters A, B, C, and D are calculated and the detection frequency is dynamically adjusted to make it more in line with the actual production situation.

[0207] Step 309: Determine whether the time between the current moment and the last magnetic flux detection time is greater than the detection interval. If so, return to step 305; if less than the detection interval, the process ends.

[0208] In the embodiment of the present application, the detection interval is the inverse of the detection frequency.

[0209] Step 310: Stop the machine equipment and output a prompt message.

[0210] Step 311: Generate a maintenance work order for the corresponding equipment based on the stored life cycle data of the mold counter.

[0211] In an 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 processing solution.

[0212] In an embodiment of the present application, lifecycle data can be stored in the blockchain.

[0213] Step 312: The maintenance personnel operates the automated guided vehicle maintenance equipment according to the generated work order instructions.

[0214] In an embodiment of the present application, an 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 real-time environment (such as obstacles and other mobile equipment) until the problem is resolved.

[0215] In summary, the mold counter method in the embodiments of this application utilizes, first, an LSTM prediction model, which improves the accuracy of magnetic flux attenuation prediction and reduces missed detection rates compared to traditional fixed detection frequency and phased detection schemes. Secondly, the wireless charging module reduces manual maintenance costs. Thirdly, the use of multi-sensor fusion detection and judgment reduces the false positive rate. Finally, blockchain storage of full lifecycle data supports data auditing and quality traceability.

[0216] Figure 6 1 is a structural diagram of a device for using a mold counter provided in an embodiment of the present application. The device for using the mold counter 600 may include the following modules.

[0217] The acquisition module 601 is used to acquire environmental data, production load data of mechanical production equipment, and current magnetic flux of the mold counter.

[0218] The output module 602 is used to output a shutdown instruction and a prompt message when the environmental data and / or the current magnetic flux of the mold counter meet 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 mold counter needs to be replaced.

[0219] The determination module 603 is configured to determine the detection frequency of the mold 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 mold counter satisfies the abnormal condition.

[0220] Optionally, the exception condition includes any of the following:

[0221] Environmental data indicates abnormal vibrations;

[0222] The current magnetic flux of the mold counter is less than the magnetic flux threshold;

[0223] 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.

[0224] Optionally, the determination module 603 includes: a first determination submodule, used to determine the detection frequency of the mold counter based on 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 indicates that there is no abnormal vibration.

[0225] Optionally, the environmental data includes humidity data, temperature data, vibration data, and dust volume data, and the production load data includes production times, single pressure, and vibration intensity. The first determination submodule includes:

[0226] a first determining unit, configured to determine an environmental compensation parameter based on humidity data, temperature data, vibration data, and dust amount data;

[0227] A second determining unit is used to determine a production load compensation parameter according to the number of productions, the single pressure, and the vibration intensity;

[0228] a third determining unit, configured to determine a magnetic flux attenuation value according to a difference between an initial magnetic flux and a current magnetic flux of the mold counter;

[0229] The fourth determining unit is configured to determine a detection frequency of the mold counter according to the environment compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value.

[0230] Optionally, the fourth determination unit includes: a calculation subunit, used to 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.

[0231] Optionally, the mold counter using device 600 further includes:

[0232] The power acquisition module is used to obtain the power of the mold counter;

[0233] The wireless charging module is used to charge the mold counter through the wireless charging module when the power of the mold counter is less than a power threshold.

[0234] Optionally, the mold counter using device 600 further includes:

[0235] A data determination module, for determining life cycle data of the mold counter based on the installation time, inspection records, and charging records of the mold counter;

[0236] The work order output module is used to generate and output the maintenance work order of the mold counter according to the life cycle data, prompt information and the identification of the mold counter when outputting the shutdown instruction and prompt information.

[0237] As for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0238] This application also provides an electronic device, see Figure 7 , electronic device 700 may include one or more of the following components: a processing component 702 , a memory 704 , a power 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 .

[0239] The processing component 702 generally controls the overall operation of the electronic device 700, such as operations associated with display, phone calls, data communications, camera operation, and recording operations. The processing component 702 may include one or more processors 720 to execute instructions to perform all or part of the steps of the above-described method. In addition, the processing component 702 may include one or more modules to facilitate interaction between the processing component 702 and other components. For example, the processing component 702 may include a multimedia module to facilitate interaction between the multimedia component 708 and the processing component 702.

[0240] The memory 704 is used to store various types of data to support operations on 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 can 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, magnetic disk, or optical disk.

[0241] The power supply component 706 provides power to the 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 to the electronic device 700.

[0242] 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 may 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, slides, and gestures on the touch panel. The touch sensors can not only sense the demarcation of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action. In some embodiments, the multimedia component 708 includes a front-facing camera and / or a rear-facing camera. When the electronic device 700 is in an operating mode, such as a capture mode or a multimedia mode, the front-facing camera and / or the rear-facing camera can receive external multimedia data. Each front-facing camera and the rear-facing camera can have a fixed optical lens system or have focal length and optical zoom capabilities.

[0243] The audio component 710 is used to output and / or input audio signals. For example, the audio component 710 includes a microphone (MIC) that receives external audio signals when the electronic device 700 is in an operating mode, such as a call mode, a recording mode, or a voice recognition mode. The received audio signals may be further stored in the memory 704 or transmitted via the communication component 716. In some embodiments, the audio component 710 also includes a speaker for outputting audio signals.

[0244] The input / output I / O interface 712 provides an interface between the processing component 702 and peripheral interface modules, such as a keyboard, a click wheel, buttons, etc. These buttons may include but are not limited to: a home button, a volume button, a start button, and a lock button.

[0245] The sensor assembly 714 includes one or more sensors for providing various aspects of status assessment for the electronic device 700. For example, the sensor assembly 714 can detect the open / closed state of the electronic device 700, the relative positioning of components, such as the display and keypad of the electronic device 700. The sensor assembly 714 can also detect changes 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 temperature changes of the electronic device 700. The sensor assembly 714 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact. The sensor assembly 714 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 714 may also include an accelerometer, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0246] The communication component 716 is used to facilitate wired or wireless communication between the electronic device 700 and other devices. The electronic device 700 can access a wireless network based on a communication standard, such as WiFi, a carrier network (such as 2G, 3G, 7G, or 7G), or a combination thereof. In an exemplary embodiment, the communication component 716 receives broadcast signals or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 716 also includes a near-field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0247] 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 to implement a method for using a mold counter provided in an embodiment of the present application.

[0248] In an exemplary embodiment, a non-transitory computer-readable storage medium including instructions is also provided, such as a memory 704 including instructions. The instructions can be executed by the processor 720 of the electronic device 700 to perform the above method. For example, the non-transitory storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, etc.

[0249] Figure 8FIG. 8 is a block diagram of an electronic device 800 according to another embodiment of the present invention. For example, the electronic device 800 may be provided as a server. Figure 8 Electronic device 800 includes a processing component 822, which further includes one or more processors, and memory resources represented by memory 832 for storing instructions executable by processing component 822, such as applications. The applications stored in memory 832 may include one or more modules, each corresponding to a set of instructions. Furthermore, processing component 822 is configured to execute instructions to perform a method for using a mold counter provided in an embodiment of the present application.

[0250] The electronic device 800 may also 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 Server™, Mac OS X™, Unix™, Linux™, FreeBSD™, or the like.

[0251] In an embodiment of the present application, the memory 832 can be used to store software programs and various data. The memory 832 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. 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.). Furthermore, the memory 832 may include volatile memory or non-volatile memory, or both. 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 flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM RAM (DRRAM). The memory 832 in the embodiment of the present application includes, but is not limited to, these and any other suitable types of memory.

[0252] The processor may include one or more processing units; optionally, the processor may integrate an application processor and a modem processor, wherein the application processor primarily handles operations related to the operating system, user interface, and application programs, and the modem processor primarily processes wireless communication signals, such as a baseband processor. It is understood that the modem processor may not be integrated into the processor.

[0253] The present application also provides a readable storage medium. When the instructions in the readable storage medium are executed by a processor of an electronic device, the electronic device can execute the method for using the mold counter of the aforementioned embodiment.

[0254] An embodiment of the present application provides a computer program product, which is stored in a storage medium. The program product is executed by at least one processor to implement the various processes of the control method embodiment of the computer room air conditioner as described above, and can achieve the same technical effect. To avoid repetition, it will not be described here.

[0255] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted 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 the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0256] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the 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 this understanding, the technical solution of this application, or the part that contributes to the relevant technology, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of this application.

[0257] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

Claims

1. A method for using a mold counter, characterized in that: The method comprises: Obtain environmental data, production load data of mechanical production equipment and current magnetic flux of mold counter; When the environmental data and / or the current magnetic flux of the mold counter meet an abnormal condition, a shutdown instruction and a prompt message are output; 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 is to be replaced; determining a detection frequency of the mold counter based on the environmental data, the production load data, and the magnetic flux when neither the environmental data nor the current magnetic flux of the mold counter satisfies the abnormal condition; The abnormal conditions include any of the following: The environmental data indicates the presence of abnormal vibrations; The current magnetic flux of the mold counter is less than a 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 presence of abnormal vibration.

2. The method according to claim 1, characterized in that When neither the environmental data nor the current magnetic flux of the mold counter satisfies the abnormal condition, 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 a magnetic flux threshold and the environmental data indicates that there is no abnormal vibration, the detection frequency of the mold counter is determined according to the environmental data, the production load data and the magnetic flux.

3. The method according to claim 2, characterized in that The environmental data includes humidity data, temperature data, vibration data, and dust quantity data; the production load data includes production times, single pressure, and vibration intensity; and determining the detection frequency of the mold counter based on 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 productions, the single pressure, and the vibration intensity; determining a magnetic flux attenuation value according to a difference between an initial magnetic flux of the mold counter and the current magnetic flux; The detection frequency of the mold counter is determined according to the environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value.

4. The method according to claim 3, characterized in that 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: The environmental compensation parameter, the production load compensation parameter, and the magnetic flux attenuation value are input into a preset detection frequency calculation formula to obtain the detection frequency of the mold counter.

5. The method according to any one of claims 1 to 4, characterized in that The method further comprises: Obtaining the power level of the mold counter; When the power level of the mold counter is less than a power threshold, the mold counter is charged through a wireless charging module.

6. The method according to any one of claims 1 to 4, characterized in that The method further comprises: Determining life cycle data of the mold counter based on the installation time, inspection record, and charging record of the mold counter; When the shutdown instruction and the prompt information are output, a maintenance work order for the mold counter is generated and output according to the life cycle data, the prompt information and the identifier of the mold counter.

7. A system for using a mold counter, characterized in that: The system includes a mold counter, a sensor and a computing node; the sensor is arranged on the mold counter; The sensor is used to obtain environmental data, production load data of mechanical production equipment and current magnetic flux of the mold 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 mold 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 mold counter needs to be replaced; and when neither the environmental data nor the current magnetic flux of the mold counter meet the abnormal condition, determine a detection frequency of the mold counter based on the environmental data, the production load data, and the magnetic flux; The abnormal conditions include any of the following: The environmental data indicates the presence of abnormal vibrations; The current magnetic flux of the mold counter is less than a 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 presence of abnormal vibration.

8. The system according to claim 7, characterized in that The system also includes an Internet of Things platform; 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 information and the identifier of the mold counter.

9. The system according to claim 7, wherein: The system also includes a wireless charging module; The wireless charging module is used to charge the mold counter when the power level of the mold counter is less than a power threshold.

10. An electronic device, characterized in that: A system for use comprising the mold counter according to any one of claims 7 to 9.

11. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor, the method for using the mold counter according to any one of claims 1 to 6 is implemented.

Images