Intelligent electric cabinet control method and equipment for laser cutting machine and medium

Abstract

The embodiment of the invention discloses an intelligent electric cabinet control method and device for a laser cutting machine and a medium, is used for the technical field of intelligent control and is used for solving the problem that an internal control system cannot be monitored through an existing intelligent electric cabinet control method. The method comprises the steps of obtaining detection information of each detection item of a current intelligent electric cabinet based on hardware equipment layout information of the current intelligent electric cabinet; obtaining the working state of the laser cutting machine corresponding to the current intelligent electric cabinet, and determining the control mode of the output equipment corresponding to each detection item according to the working state and the input information of the current intelligent electric cabinet; determining an association relationship between the output equipment corresponding to each detection item and the control mode, so as to determine a linkage relationship between the output equipment and a motor driving module of the current intelligent electric cabinet according to the association relationship; and controlling and adjusting the output equipment corresponding to the detection item based on the corresponding relationship and the linkage relationship between the preset detection threshold value of each detection item and the detection information.

Description

Technical Field

[0001] The present specification relates to the field of intelligent control technology, and in particular to an intelligent electric cabinet control method, device and medium for a laser cutting machine. Background Art

[0002] The intelligent electric cabinet of the laser cutting machine is an indispensable part of the laser cutting machine system. It is responsible for providing a stable and reliable power supply for the laser cutting machine and integrates a series of intelligent control and management functions. The current intelligent electric cabinet integrates a variety of electrical components and hardware devices, such as circuit breakers, contactors, disconnectors, etc. The normal operation of these hardware devices and components is directly related to the power supply of the laser cutting machine. Therefore, in order to avoid production delays or equipment damage caused by power outages or instability due to problems with the intelligent electric cabinet, timely detection and control adjustment of the intelligent electric cabinet of the laser cutting machine is an important part of ensuring the normal operation of the laser cutting machine.

[0003] The control cabinets of existing laser cutting machines are all arranged cabinets, that is, various electrical components are filled and combined inside. This type of cabinet has a simple structure, convenient layout, and strong versatility. It is widely used in the laser cutting machine industry, but this type of cabinet can only control and detect the working conditions of the cutting machine, and cannot monitor the operation of the internal control system and electrical components. In addition, the current single control method lacks the ability to flexibly adjust according to specific working conditions and cutting requirements. At this time, there may be certain safety hazards in the operation of the intelligent cabinet, such as overheating and short circuit of electrical components. These hazards may cause safety accidents such as fire and electric shock, causing damage to personnel and equipment. Summary of the invention

[0004] In order to solve the above technical problems, one or more embodiments of the present specification provide a smart electric cabinet control method, device and medium for a laser cutting machine.

[0005] One or more embodiments of this specification adopt the following technical solutions:

[0006] One or more embodiments of this specification provide a smart electric cabinet control method for a laser cutting machine, the method comprising:

[0007] Based on the hardware equipment layout information of the current smart cabinet, the detection information of each detection item of the current smart cabinet is obtained; wherein the detection information is collected and obtained by pre-setting multiple types of sensors;

[0008] Acquire the working state of the laser cutting machine corresponding to the current intelligent electric cabinet, so as to determine the control mode of the output device corresponding to each detection item according to the working state and the input information of the current intelligent electric cabinet;

[0009] Determine the association relationship between the output device corresponding to each of the detection items and the control mode, so as to determine the linkage relationship between the output device corresponding to each of the detection items and the motor drive module of the current intelligent electric cabinet according to the association relationship;

[0010] Based on the correspondence between the preset detection threshold of each detection item and the detection information and the linkage relationship, the output device corresponding to the detection item is controlled and adjusted.

[0011] Optionally, in one or more embodiments of the present specification, based on the hardware device layout information of the current smart cabinet, obtaining the detection information of each detection item of the current smart cabinet specifically includes:

[0012] Based on the hardware device layout information of the current intelligent electric cabinet, determine the environment information and location information of each of the hardware devices;

[0013] Determine a detection item corresponding to the hardware device based on the environmental information and historical fault data of the hardware device;

[0014] Acquire sensors corresponding to the detection items, and determine the layout positions of the corresponding sensors based on the location information of the hardware device and the effective detection range of the corresponding sensors;

[0015] The current intelligent electric cabinet is detected based on the deployed preset multi-type sensors to determine the detection information of each detection item based on the corresponding relationship between the detection item and the corresponding sensor.

[0016] Optionally, in one or more embodiments of the present specification, obtaining the working state of the laser cutting machine corresponding to the current intelligent electric cabinet to determine the control mode of the output device corresponding to each detection item according to the working state and the input information of the current intelligent electric cabinet specifically includes:

[0017] Determine the working state of the laser cutting machine based on the control system of the current intelligent electric cabinet; wherein the working state includes: high-precision cutting state and low-precision cutting state;

[0018] Determine whether the input information of the current intelligent electric cabinet is received, and if so, determine the control mode of the output device corresponding to each detection item based on the input information; wherein the corresponding output device includes: a DC fan, an anti-dew point heating wire, and a fire extinguishing device;

[0019] If not, the control mode of the output device corresponding to each detection item is determined based on the working state of the laser cutting machine; wherein the control mode includes: a performance mode and an economic mode.

[0020] Optionally, in one or more embodiments of the present specification, determining the association relationship between the output device corresponding to each of the detection items and the control mode, so as to determine the linkage relationship between the output device corresponding to each of the detection items and the motor drive module of the current intelligent electric cabinet according to the association relationship, specifically includes:

[0021] Determine whether the output device corresponding to each of the detection items has an associated relationship with the control mode;

[0022] If yes, it is determined that the output device corresponding to the detection item has a linkage relationship with the motor drive module corresponding to the current intelligent electric cabinet;

[0023] If not, it is determined that the output device corresponding to the detection item has no linkage relationship with the motor drive module corresponding to the current intelligent electric cabinet.

[0024] Optionally, in one or more embodiments of the present specification, based on the correspondence between the preset detection threshold of each detection item and the detection information and the linkage relationship, controlling and adjusting the output device corresponding to the detection item specifically includes:

[0025] Based on the correspondence between the preset detection threshold of each detection item and the detection information, the detection information is compared with the preset detection threshold to determine whether the detection item exceeds the preset detection threshold;

[0026] If yes, determining whether the output device corresponding to the detection item has a linkage relationship with the electrode driving module;

[0027] If the linkage relationship does not exist, triggering the adjustment strategy of the output device corresponding to the detection item, and adjusting the output device corresponding to the detection item;

[0028] If the linkage relationship exists, the adjustment strategy of the output device corresponding to the detection item adjusts the output device corresponding to the detection item, and determines whether to perform performance conversion on the control mode based on the control mode corresponding to each detection item and the expected control mode corresponding to the preset detection threshold.

[0029] Optionally, in one or more embodiments of the present specification, based on the correspondence between the preset detection threshold of each detection item and the detection information and the linkage relationship, controlling and adjusting the output device corresponding to the detection item specifically includes:

[0030] Obtaining a preset shutdown threshold of a temperature detection item, and determining whether the real-time temperature of the temperature detection item exceeds the preset shutdown threshold;

[0031] If the real-time temperature exceeds the preset shutdown threshold, the control mode of the output device corresponding to the detection item and the expected control mode corresponding to the preset shutdown threshold are obtained to determine whether to convert the control mode of the output device corresponding to the detection item;

[0032] The control mode is converted to the desired control mode, and the machine is shut down for maintenance.

[0033] Optionally, in one or more embodiments of the present specification, after obtaining a preset shutdown threshold of a temperature detection item and determining whether the real-time temperature of the temperature detection item exceeds the preset shutdown threshold, the method further includes:

[0034] If the real-time temperature does not exceed the preset shutdown threshold, the temperature detection item is iteratively detected based on a preset detection interval to obtain a temperature rise value corresponding to the temperature detection item;

[0035] Determine whether the temperature rise value is greater than a preset temperature rise threshold;

[0036] If yes, and the temperature rise value exceeds the preset power-off value, the laser cutting machine corresponding to the smart electric cabinet is powered off;

[0037] If so, and the temperature rise value does not exceed the preset power-off value, the control mode of the output device corresponding to the detection item is obtained, and the expected control mode corresponding to the preset temperature rise threshold is obtained to determine whether to convert the control mode of the output device corresponding to the detection item.

[0038] Optionally, in one or more embodiments of the present specification, the preset multi-type sensors include: a temperature sensor, a humidity sensor, a dust concentration sensor, a light intensity sensor, and a flame sensor.

[0039] One or more embodiments of this specification provide an intelligent electric cabinet control device for a laser cutting machine, the device comprising:

[0040] at least one processor; and,

[0041] a memory communicatively connected to the at least one processor; wherein,

[0042] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: execute any of the above-mentioned methods.

[0043] One or more embodiments of the present specification provide a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured to execute any of the above-described methods.

[0044] At least one of the above technical solutions adopted in the embodiments of this specification can achieve the following beneficial effects:

[0045] By considering the layout information of the hardware equipment in the smart cabinet, the possible fault distribution of the smart cabinet is fully considered, and the continuous monitoring of the internal environment and key parameters of the smart cabinet is realized through multiple types of sensors, which solves the problem that the existing method can only control and detect the working condition of the cutting machine, but cannot monitor the operation of the internal control system and electrical components. By real-time monitoring of the working status of the laser cutting machine, the smart cabinet of the laser cutting machine can quickly respond to adjust the control mode of the output device, and by determining the association between the output device and the motor drive module of the current smart cabinet, it is convenient to switch and combine the control mode of the output device based on the preset detection threshold to cope with different production needs and working conditions. The problem that the current single control method lacks the ability to flexibly adjust according to specific working conditions and cutting needs, and there may be certain safety hazards in the operation of the smart cabinet, is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the embodiments of this specification or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art description. Obviously, the drawings described below are only some embodiments recorded in this specification. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. In the drawings:

[0047] Figure 1 A schematic flow chart of a smart electric cabinet control method for a laser cutting machine provided in an embodiment of this specification;

[0048] Figure 2 An intelligent control flow chart of a temperature control detection project provided in an embodiment of this specification;

[0049] Figure 3 An intelligent control flow chart of a dehumidification and heating detection project provided in an embodiment of this specification;

[0050] Figure 4 An intelligent control flow chart of a dust detection project provided in an embodiment of this specification;

[0051] Figure 5 An intelligent control flow chart of a filter replacement detection project provided in an embodiment of this specification;

[0052] Figure 6 An intelligent control flow chart of a cabinet door status detection project provided in an embodiment of this specification;

[0053] Figure 7 An intelligent control flow chart of a temperature rise power-off fire extinguishing detection project provided in an embodiment of this specification;

[0054] Figure 8 A schematic diagram showing the placement of a sensor provided in this embodiment;

[0055] Fig. 9 A schematic diagram of controlling the temperature rise state in an application scenario provided in an embodiment of this specification;

[0056] Fig.10 A schematic diagram showing an intelligent electric cabinet control system for a laser cutting machine provided in an embodiment of this specification;

[0057] Fig.11 A schematic diagram of the structure of an intelligent electric cabinet control device for a laser cutting machine provided in an embodiment of this specification;

[0058] Fig.12 A schematic diagram of the structure of a non-volatile storage medium provided in an embodiment of this specification. DETAILED DESCRIPTION

[0059] The embodiments of this specification provide a method, device and medium for controlling an intelligent electric cabinet of a laser cutting machine.

[0060] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0061] like Figure 1 As shown, the embodiment of this specification provides a flow chart of an intelligent electric cabinet control method for a laser cutting machine. Figure 1 As shown, in one or more embodiments of this specification, a smart electric cabinet control method for a laser cutting machine includes the following steps:

[0062] S101: Based on the hardware equipment layout information of the current smart cabinet, the detection information of each detection item of the current smart cabinet is obtained; wherein the detection information is collected and obtained by pre-setting multiple types of sensors.

[0063] In order to solve the problem that the current smart electric cabinet cannot monitor the operation of the internal control system and electrical components, resulting in certain safety hazards in the operation of the smart electric cabinet, the detection information of each detection item of the current smart electric cabinet is obtained according to the hardware equipment layout information of the current smart electric cabinet in the embodiment of this specification, and the detection information is collected and obtained through multiple types of sensors such as temperature sensors, humidity sensors, dust concentration sensors, light intensity sensors, flame sensors, etc. By considering the layout information of the hardware equipment in the smart electric cabinet, the distribution of possible faults in the smart electric cabinet is fully considered, and the continuous monitoring of the internal environment and key parameters of the smart electric cabinet is achieved through multiple types of sensors. This real-time monitoring helps to promptly detect potential problems, such as overheating, excessive humidity, circuit abnormalities, etc., thereby preventing failures from occurring and improving the stability and safety of the laser cutting machine during the cutting process. For example Fig.10The figure shows an intelligent electric cabinet control system of a laser cutting machine using the method of the embodiment of this specification. The multi-type sensors in the system may include temperature sensors, humidity sensors, dust concentration sensors, light intensity sensors, flame sensors, etc. The system is based on a system input module, a system output module, and a host computer interaction module. The system input module includes temperature and humidity acquisition, dust concentration acquisition, light intensity acquisition, flame spectrum acquisition, and key input settings. Among them, the temperature and humidity acquisition uses a DHT22 sensor, which uses SDA single bus communication. The microcontroller obtains temperature and humidity data in real time through SDA, processes the acquired data in different processing units, and ultimately determines the execution of various peripheral output signals. The dust concentration is acquired using a GP2Y10 sensor, which uses ADC analog-to-digital conversion. The ADC converts the analog quantity acquired by the sensor into an easy-to-process digital quantity. Through tests in different environments, the threshold of the dust in the electric cabinet when the equipment is in normal use is obtained. By comparing the relationship between the real-time data and the dust threshold, it is determined whether the equipment needs to perform a shutdown dust removal operation. The light intensity is obtained by using a photoresistor module. The light intensity can be directly obtained through the TTL digital signal output. Through tests in different environments, the threshold of the light intensity when the cabinet door is closed is obtained. By comparing the relationship between the real-time data and the light intensity threshold, it is determined whether the cabinet door of the equipment cabinet is opened. The flame spectrum is obtained by using a flame sensor. The flame sensor uses the characteristics of infrared sensitivity to flames, uses a special infrared receiving tube to detect flames, and then converts the brightness of the flame into an analog voltage signal output. The system processes and analyzes the real-time signal collected by the flame sensor. When the flame is detected or the flame intensity exceeds the set threshold, the system will execute the carbon dioxide fire extinguishing device action. The key input module uses ordinary GPIO input, and detects whether the key is pressed by detecting the high and low levels of the IO. The operator can input and adjust various parameters and thresholds of the system through keys. The system output module includes DC fan speed control, carbon dioxide fire extinguishing device control, and anti-dew point heating wire control. The DC fan speed control uses the L298N motor driver module. The L298N controls the speed of the DC fan by controlling the output PWM waveform, thereby controlling the working mode of the system. The carbon dioxide fire extinguishing device control directly controls the switch solenoid valve of the carbon dioxide fire extinguishing device. When the system needs to perform a fire extinguishing action, the switch solenoid valve is energized, the solenoid valve opens, and the liquid carbon dioxide in the fire extinguishing device quickly vaporizes, quickly cools down and isolates the air, achieving the effect of fire extinguishing and cooling. The anti-dew point heating wire directly controls the output voltage of the analog quantity to control the heating power of the heating wire. By heating and dehumidifying the temperature, the anti-condensation effect of the electrical cabinet is achieved. The upper computer interaction module uses the ESP8266 network communication module. The microcontroller sends data to the ESP8266, and the ESP8266 transmits the data to the remote monitoring terminal to achieve remote monitoring and data storage.ESP8266 can use HTTP, MQTT and other protocols for data transmission, which can ensure the security and reliability of data.

[0064] Specifically, in one or more embodiments of this specification, based on the hardware device layout information of the current smart cabinet, the detection information of each detection item of the current smart cabinet is obtained, which specifically includes the following process:

[0065] First, based on the hardware equipment layout information of the current smart electric cabinet, determine the environmental information and location information of each hardware device. Then, based on the environmental information and the historical fault data of the hardware device, determine the detection items corresponding to the hardware device. By customizing the detection items according to the specific environment and location of each hardware device, the pertinence and effectiveness of the detection are ensured, and unnecessary waste of resources is avoided. Then, obtain the sensor corresponding to the detection item to determine the layout position of each corresponding sensor based on the location information of the hardware device and the effective detection range of the corresponding sensor. Determine the layout position of the sensor according to the location information of the hardware device and the effective detection range of the sensor, ensuring that the sensor can efficiently cover all areas that need to be monitored. This layout method not only avoids the waste of sensors, but also ensures the comprehensiveness and accuracy of monitoring. Then, the current smart electric cabinet is detected according to the preset multi-type sensors after deployment, so as to determine the detection information of each detection item according to the corresponding relationship between the detection items and the corresponding sensors. Using preset multi-type sensors for detection can simultaneously obtain data of multiple physical quantities, providing comprehensive information support for the monitoring of smart electric cabinets. The collaborative work of different types of sensors can more comprehensively reflect the operating status of the smart electric cabinet and improve the accuracy and reliability of monitoring. For example Figure 8As shown in the schematic diagram of the sensor layout position, three temperature sensors are installed on the right side of the industrial computer, in the middle of the servo drive and in the middle of the drawer laser, respectively, to detect the temperature of the control area, servo area and laser area. Specifically, the first group of temperature sensors mainly obtains the temperature data of the servo drive part, because most of the heat in the electric cabinet is generated by the high-frequency start and stop of the servo. The second group of temperature sensors mainly obtains the temperature data of the industrial computer and the system control board area. The temperature of the control part determines the operating speed of the processor and directly determines the upper limit of the equipment performance. The third group of temperature sensors mainly obtains the temperature of the bottom laser. The flame sensor is set together with the temperature sensors of the servo area and the laser area respectively. The reason is that the servo control area is located in the center of the upper electric cabinet in this electric cabinet layout. The flame sensor can detect the entire plane space of the upper electric cabinet. If there is an open flame, the flame sensor can just identify the spectrum change, and the system performs a series of operations such as alarm, power off, fire extinguishing and cooling. Similarly, the flame sensor in the bottom laser area also needs to be located in the center of the area, and the spectrum change of the bottom electric cabinet can be detected in the center of the bottom area. The light intensity sensor is located on the non-hinge side of the cabinet door. This side is the first to come into contact with the external light source when the cabinet door is opened. The sensor can immediately detect changes in light intensity, thereby detecting changes in the cabinet door, and immediately reminding the operator that the cabinet door has been opened. After receiving the prompt information, the operator needs to determine the working status of the equipment and perform a shutdown operation to avoid production safety accidents such as electric shock or mechanical injury.

[0066] S102: Acquire the working state of the laser cutting machine corresponding to the current smart electric cabinet, and determine the control mode of the output device corresponding to each detection item according to the working state and the input information of the current smart electric cabinet.

[0067] When the laser cutting machine is performing normal production operations, the servo control area drives the servo motor to operate efficiently; the higher the product requirements for laser cutting and the more complex the process, the higher the speed and precision requirements for the servo drive, and the servo drive needs to be frequently started and stopped to ensure speed and precision. How to achieve control of high-precision and low-precision laser cutting machines is an important link in reducing production costs while ensuring production efficiency. Therefore, in order to achieve intelligent control of the intelligent electric cabinet of the laser cutting machine, the working status of the laser cutting machine corresponding to the current intelligent electric cabinet is obtained in the embodiment of this specification, so as to determine the control mode of the output device corresponding to each detection item according to the working status and the input information of the current intelligent electric cabinet. By monitoring the working status of the laser cutting machine in real time, the system can quickly respond and adjust the control mode of the output device to ensure the continuity and efficiency of the production process. Among them, it should be noted that the control modes include: performance mode and economic mode.

[0068] Specifically, in one or more embodiments of this specification, the working state of the laser cutting machine corresponding to the current intelligent electric cabinet is obtained, so as to determine the control mode of the output device corresponding to each detection item according to the working state and the input information of the current intelligent electric cabinet, which specifically includes the following process:

[0069] First, the working state of the laser cutting machine is determined based on the control system of the current intelligent electric cabinet; it should be noted that the working state includes: high-precision cutting state and low-precision cutting state. Taking the temperature control test project as an example, since the energy during servo braking is mostly dissipated into the air inside the electric cabinet in the form of heat; and the high temperature environment will cause the chips inside the driver and controller to overheat, and the overheating of the chip will cause the computing power to decrease, which will cause the device interface to freeze and the cutting accuracy to decrease, resulting in the performance of the device to decrease. Therefore, when the laser cutting machine users are performing high-tech and high-precision processing, they often stop the machine in the middle for heat dissipation, which seriously affects the production efficiency of the equipment. The control cabinet equipped with an intelligent electric cabinet system can operate efficiently under all working conditions. When the equipment is performing high-precision processing, the temperature control system will intelligently switch to the performance mode to always ensure the temperature of the electric control cabinet, thereby ensuring the continuous performance of the equipment; when the equipment is in a scene with low precision requirements but a large workload, the system will switch to the economic mode to ensure the stable operation of the equipment. And because the selection of the control mode can be based on manual external input or based on the current working state of the laser cutting machine, the system determines the working state in the future and determines the control mode. Therefore, in the embodiment of this specification, you determine whether to receive the input information of the current intelligent electric cabinet with a higher priority. If the control mode input by the preset button module or the host computer is received, then the control mode of the output device corresponding to each detection item is determined according to the input information. Among them, it should be noted that the corresponding output devices include: DC fan, anti-dew point heating wire, and fire extinguishing device. If no input information is received, the control mode of the output device corresponding to each detection item can be determined according to the working state of the laser cutting machine. For example, in a certain scene: when the temperature exceeds the set threshold, the temperature is still in the normal working range of the electrical components in the cabinet. The system will control the DC fan to run at high speed and continue to cool down through the motor drive module. At this time, the system is in performance mode; when the temperature is lower than the set threshold, the system will control the DC fan to run at low speed and intermittently cool down through each control. At this time, the system is in economic mode. When the control system detects that the cutting machine is in a cutting working state, the system judges that the control components inside the electric cabinet will operate efficiently in the future. It is predicted that the heat dissipation of the control components will increase. The system will control the DC fan to run at high speed and continue to cool down through the motor drive module. At this time, the system is in performance mode.

[0070] S103: Determine the association relationship between the output device corresponding to each of the detection items and the control mode, so as to determine the linkage relationship between the output device corresponding to each of the detection items and the motor drive module of the current smart electric cabinet according to the association relationship.

[0071] like Figures 2 to 7 It can be seen from the intelligent control flow chart of multiple detection items shown that some detection items have a linkage relationship with the motor drive module, while some detection items do not, that is, there is a power regulation relationship between some detection items and the output device of the intelligent electric cabinet, so a linkage relationship is required to achieve the adjustment of the control mode. Therefore, in the embodiment of this specification, by determining the correlation relationship between the output device corresponding to each detection item and the control mode, the linkage relationship between the output device corresponding to each detection item and the motor drive module corresponding to the current intelligent electric cabinet is determined according to the correlation relationship. Different detection items may correspond to different control modes and output devices. By determining these correlation relationships, the system can support the switching and combination of multiple control modes to cope with different production needs and working condition changes. This flexibility enables the system to better adapt to complex production environments and improve production efficiency and product quality.

[0072] Specifically, in one or more embodiments of the present specification, determining the association relationship between the output device corresponding to each detection item and the control mode, thereby determining the linkage relationship between the output device corresponding to each detection item and the motor drive module corresponding to the current intelligent electric cabinet according to the association relationship, specifically includes the following process:

[0073] First, determine whether the output device corresponding to each detection item has an association relationship with the control mode. If there is an association relationship, it means that the output device corresponding to the detection item has a linkage relationship with the motor drive module corresponding to the current intelligent electric cabinet. On the contrary, if there is no association relationship, it is determined that the output device corresponding to the detection item has no linkage relationship with the motor drive module corresponding to the current intelligent electric cabinet.

[0074] S104: Based on the correspondence between the preset detection threshold of each detection item and the detection information and the linkage relationship, control and adjust the output device corresponding to the detection item.

[0075] After determining the linkage relationship between the output device corresponding to each detection item and the motor drive module of the current intelligent electric cabinet based on the above step S103, the output device corresponding to the detection item is controlled and adjusted according to the correspondence and linkage relationship between the preset detection threshold and the detection information of each detection item in the embodiment of this specification. Through the correspondence between the preset detection threshold and the detection information, the system can accurately judge the state of each detection item, and accurately adjust the output device accordingly, ensuring the stability and safety of the intelligent electric cabinet of the laser cutting machine during the production and processing process.

[0076] Specifically, in one or more embodiments of the present specification, based on the correspondence and linkage between the preset detection thresholds of each detection item and the detection information, the output device corresponding to the detection item is controlled and adjusted, specifically including the following process:

[0077] First, based on the correspondence between the preset detection threshold of each detection item and the detection information, the detection information is compared with the preset detection threshold to determine whether the detection item exceeds the preset detection threshold. If so, it is determined whether the output device corresponding to the detection item has a linkage relationship with the electrode driving module. If not, the adjustment strategy of the output device corresponding to the detection item is triggered to adjust the output device corresponding to the detection item. Figure 4 As shown in the intelligent control flow chart of the dust detection project, as the laser cutting continues, the metal dust concentration in the air gradually increases; the dust in the air enters the electric cabinet through the ventilation and filtration system of the electric cabinet. When the system detects that the dust concentration inside the electric cabinet is higher than the safety threshold, the system prompts the staff to clean it up. The processing operation can only be continued after the dust concentration in the electric cabinet meets the standard; when the equipment is in a high-concentration dust environment for a long time, it is necessary not only to clean the inside of the electric cabinet, but also to replace the blocked ventilation filter in time; when the cooling efficiency of the equipment decreases, the system defaults to the filter being blocked. The filter must be replaced. The processing operation can only be continued after the cooling efficiency is restored.

[0078] like Figure 6In the intelligent control flow chart of the cabinet door status detection project shown in the figure, the cabinet door status detection module relies on obtaining the light intensity on the inside of the cabinet door for indirect detection. When the cabinet door is opened, the light outside the cabinet shines on the photoresistor measured inside the cabinet door. The resistance of the photoresistor connected to the circuit will change with the change of light intensity. The change of resistance can change the current in the circuit. The light intensity in the cabinet can be analyzed and judged from the magnitude of the current. The change of light intensity in the cabinet can indirectly determine the switch state of the cabinet door. When the cabinet door is opened, the system detects that the light intensity in the cabinet exceeds the set threshold and determines that the cabinet has been opened manually. At this time, the system can prompt the staff through the host computer that the cabinet door has been opened. After receiving the prompt information, the staff needs to judge the working status of the equipment and perform the shutdown operation to avoid production safety accidents such as electric shock or mechanical injury.

[0079] If there is a linkage relationship, the output device corresponding to the detection item is adjusted according to the adjustment strategy of the output device corresponding to the detection item, and based on the control mode corresponding to each detection item and the expected control mode corresponding to the preset detection threshold, it is determined whether to perform performance conversion on the control mode. Figure 3 In the intelligent control process of the dehumidification and heating detection project shown in the figure, the control system will first obtain the temperature of each module of the electric cabinet through the temperature sensor, and comprehensively judge the temperature rise state of the electric cabinet. When the temperature exceeds the set threshold, the temperature is still within the normal working range of the electrical components in the cabinet. The system will control the DC fan to run at high speed and continuously cool down through the motor drive module. At this time, the system is in performance mode; when the temperature is lower than the set threshold, the system will control the DC fan to run at low speed and intermittently cool down through each control. At this time, the system is in economic mode. When the control system detects that the cutting machine is in the cutting working state, the system judges that the control components inside the electric cabinet will operate efficiently in the future. It is predicted that the heat dissipation of the control components will increase. The system will control the DC fan to run at high speed and continuously cool down through the motor drive module. At this time, the system is in performance mode. The dehumidification of the electric cabinet mainly relies on the heating resistor to heat the air at the air inlet of the electric cabinet, so that the air inside the electric cabinet is gradually replaced by relatively dry air instead of high humidity air. When the temperature and humidity detection module of the electric cabinet detects that the temperature of the electric cabinet has dropped and the humidity has risen, the system will compare and judge the current temperature and humidity with the air condensation temperature and humidity database corresponding to the air dew point curve. When the air temperature and humidity level of the electric cabinet reaches the range of 20% above and below the condensation temperature and humidity, the heating wire will intervene to heat and dehumidify the circulating air, thereby achieving the effect of preventing condensation in the electric cabinet.

[0080] like Figure 5The intelligent control process of a filter replacement detection project shown in the figure, the filter replacement prompt function mainly relies on the cooling efficiency of the electric cabinet to indirectly judge the filter blockage. When the cutting machine is working, the electric cabinet needs to be cooled, and the system is in performance mode, but the temperature of the electric cabinet cannot be controlled and rises instead of falling, the system determines that the refrigeration module is abnormal. At this time, it is necessary to remind the staff to check the working status of the fan and the filter, and replace the blocked ventilation filter if necessary. After the filter is replaced, when the cooling efficiency of the electric cabinet reaches the normal level, the prompt disappears, and the staff can continue to use the equipment for metal processing.

[0081] Further, in one or more embodiments of the present specification, based on the correspondence between the preset detection threshold of each detection item and the detection information and the linkage relationship, the output device corresponding to the detected item is controlled and adjusted, specifically including:

[0082] like Figure 2 and Fig. 9 The preset shutdown threshold of the temperature detection item is obtained, and it is determined whether the real-time temperature of the temperature detection item exceeds the preset shutdown threshold. If the real-time temperature exceeds the preset shutdown threshold, the control mode of the output device corresponding to the detection item is obtained, and the expected control mode corresponding to the preset shutdown threshold is obtained, so as to determine whether to convert the control mode of the output device corresponding to the detection item, so as to convert the control mode to the expected control mode, and perform shutdown maintenance.

[0083] Further, in one or more embodiments of this specification, if Fig. 9 After obtaining the preset shutdown threshold of the temperature detection item and determining whether the real-time temperature of the temperature detection item exceeds the preset shutdown threshold, the method further includes:

[0084] If the real-time temperature does not exceed the preset shutdown threshold, the temperature detection items are iteratively detected according to the preset detection interval to obtain the temperature rise value corresponding to the temperature detection item, and then determine whether the temperature rise value is greater than the preset temperature rise threshold. If it is greater than the preset temperature rise threshold and the temperature rise value exceeds the preset power-off value, the laser cutting machine corresponding to the smart electric cabinet is powered off. That is, the temperature rise power-off system of the smart electric cabinet can detect the real-time temperature inside the electric cabinet. When an abnormal situation occurs, as the abnormal state accumulates, the temperature inside the electric cabinet will continue to rise. When the temperature inside the cabinet rises to a certain threshold, the control system controls the contactor to disconnect, thereby realizing the power-off protection function. The temperature rise power-off protection is a supplement to the traditional leakage protector and phase sequence protector, and cannot completely replace the above two electrical components; although the temperature rise power-off protection has hysteresis, it can effectively avoid the occurrence of production safety accidents and can effectively protect the property safety of users.

[0085] If the temperature rise value is greater than the preset temperature rise threshold, and the temperature rise value does not exceed the preset power-off value, the control mode of the output device corresponding to the detection item is obtained, and the expected control mode corresponding to the preset temperature rise threshold is obtained, so as to determine whether to convert the control mode of the output device corresponding to the detection item. Fig. 9 As shown in the figure, in the case of overheating reaction causing the laser to burn out or even catch fire and explode, the temperature rise power-off system of the intelligent electric cabinet can cut off the power supply to the laser when it detects abnormal laser temperature, and retain the power-off information to provide data support for the staff to find out the cause; when the electric cabinet catches fire, the intelligent fire extinguishing system can respond quickly and open the carbon dioxide gas tank to quickly extinguish the fire and prevent the spread of the flame. Figure 7 As shown in the figure, when the flame sensor detects an open flame, the control system will not only disconnect the power supply by controlling the contactor, but also open the top gas tank to spray out liquid carbon dioxide. The liquid carbon dioxide will quickly gasify and cool down and isolate the air, achieving the effect of extinguishing the fire while disconnecting the power supply. For example, set the temperature thresholds T1 and T2, T2>T1, and turn on the carbon dioxide fire extinguishing device when the temperature is greater than T1 and less than T2 and the flame sensor detects a flame; when the temperature is only greater than T1 and less than T2, and the flame sensor does not detect an abnormality, the device will only give an alarm prompt to prompt the staff to stop the machine for inspection, and will not perform the fire extinguishing operation; when the detected temperature is greater than T2, regardless of whether the flame sensor detects an abnormality, the system will turn on the carbon dioxide fire extinguishing device to cool down and extinguish the fire. The above are all judgment logics in the normal working mode. When the equipment is abnormal (short circuit fire, etc.), the equipment temperature rises sharply (ΔT_n+1-ΔT_n>10), any sensor temperature reaches T2 or the flame sensor is abnormal, the system will perform a power-off operation and turn on the carbon dioxide fire extinguishing device to cool down and extinguish the fire. When ΔT is a negative value, it means that the device is in the cooling process. Therefore, -ΔT is also the cooling efficiency of the device. When the system is in performance mode and the device cooling is greater than or equal to 0, it means that the device heat dissipation is abnormal. You need to check whether the DC fan and ventilation filter are damaged or blocked.

[0086] like Fig.11 As shown, the embodiment of this specification provides a schematic diagram of the structure of an intelligent electric cabinet control device for a laser cutting machine. Fig.11 It can be seen that in one or more embodiments of this specification, an intelligent electric cabinet control device for a laser cutting machine includes:

[0087] at least one processor; and,

[0088] a memory communicatively connected to the at least one processor; wherein,

[0089] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to: execute any of the above-mentioned methods.

[0090] like Fig.12 As shown, the present specification provides a schematic diagram of the structure of a non-volatile storage medium. Fig.12 It can be seen that in one or more embodiments of the present specification, a non-volatile storage medium stores computer-executable instructions, and the computer-executable instructions can: execute any of the methods described above.

[0091] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0092] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0093] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. An intelligent electric cabinet control method for a laser cutting machine, characterized in that: The method comprises: Based on the hardware equipment layout information of the current smart cabinet, the detection information of each detection item of the current smart cabinet is obtained; wherein the detection information is collected and obtained by pre-setting multiple types of sensors; Acquire the working state of the laser cutting machine corresponding to the current intelligent electric cabinet, so as to determine the control mode of the output device corresponding to each detection item according to the working state and the input information of the current intelligent electric cabinet; Determine the association relationship between the output device corresponding to each of the detection items and the control mode, so as to determine the linkage relationship between the output device corresponding to each of the detection items and the motor drive module of the current intelligent electric cabinet according to the association relationship; Based on the correspondence between the preset detection threshold of each detection item and the detection information and the linkage relationship, the output device corresponding to the detection item is controlled and adjusted.

2. The intelligent electric cabinet control method for a laser cutting machine according to claim 1, characterized in that: The acquiring of detection information of each detection item of the current smart cabinet based on the hardware equipment layout information of the current smart cabinet specifically includes: Based on the hardware device layout information of the current intelligent electric cabinet, determine the environment information and location information of each of the hardware devices; Determine a detection item corresponding to the hardware device based on the environmental information and historical fault data of the hardware device; Acquire sensors corresponding to the detection items, and determine the layout positions of the corresponding sensors based on the location information of the hardware device and the effective detection range of the corresponding sensors; The current intelligent electric cabinet is detected based on the deployed preset multi-type sensors to determine the detection information of each detection item based on the corresponding relationship between the detection item and the corresponding sensor.

3. The intelligent electric cabinet control method for a laser cutting machine according to claim 1, characterized in that: Obtaining the working state of the laser cutting machine corresponding to the current intelligent electric cabinet, and determining the control mode of the output device corresponding to each detection item according to the working state and the input information of the current intelligent electric cabinet, specifically includes: Determine the working state of the laser cutting machine based on the control system of the current intelligent electric cabinet; wherein the working state includes: high-precision cutting state and low-precision cutting state; Determine whether the input information of the current intelligent electric cabinet is received, and if so, determine the control mode of the output device corresponding to each detection item based on the input information; wherein the corresponding output device includes: a DC fan, an anti-dew point heating wire, and a fire extinguishing device; If not, the control mode of the output device corresponding to each detection item is determined based on the working state of the laser cutting machine; wherein the control mode includes: a performance mode and an economic mode.

4. The intelligent electric cabinet control method for a laser cutting machine according to claim 1, characterized in that: The determining of the association relationship between the output device corresponding to each of the detection items and the control mode, so as to determine the linkage relationship between the output device corresponding to each of the detection items and the motor drive module of the current intelligent electric cabinet according to the association relationship, specifically includes: Determine whether the output device corresponding to each of the detection items has an associated relationship with the control mode; If yes, it is determined that the output device corresponding to the detection item has a linkage relationship with the motor drive module corresponding to the current intelligent electric cabinet; If not, it is determined that the output device corresponding to the detection item has no linkage relationship with the motor drive module corresponding to the current intelligent electric cabinet.

5. The intelligent electric cabinet control method for a laser cutting machine according to claim 1, characterized in that: The controlling and adjusting the output device corresponding to the detection item based on the correspondence between the preset detection threshold of each detection item and the detection information and the linkage relationship specifically includes: Based on the correspondence between the preset detection threshold of each detection item and the detection information, the detection information is compared with the preset detection threshold to determine whether the detection item exceeds the preset detection threshold; If yes, determining whether the output device corresponding to the detection item has a linkage relationship with the electrode driving module; If the linkage relationship does not exist, triggering the adjustment strategy of the output device corresponding to the detection item, and adjusting the output device corresponding to the detection item; If the linkage relationship exists, the adjustment strategy of the output device corresponding to the detection item adjusts the output device corresponding to the detection item, and determines whether to perform performance conversion on the control mode based on the control mode corresponding to each detection item and the expected control mode corresponding to the preset detection threshold.

6. The intelligent electric cabinet control method for a laser cutting machine according to claim 1, characterized in that: Based on the correspondence between the preset detection threshold of each detection item and the detection information and the linkage relationship, controlling and adjusting the output device corresponding to the detection item specifically includes: Obtaining a preset shutdown threshold of a temperature detection item, and determining whether the real-time temperature of the temperature detection item exceeds the preset shutdown threshold; If the real-time temperature exceeds the preset shutdown threshold, the control mode of the output device corresponding to the detection item and the expected control mode corresponding to the preset shutdown threshold are obtained to determine whether to convert the control mode of the output device corresponding to the detection item; The control mode is converted to the desired control mode, and the machine is shut down for maintenance.

7. The intelligent electric cabinet control method for a laser cutting machine according to claim 6, characterized in that: After obtaining the preset shutdown threshold of the temperature detection item and determining whether the real-time temperature of the temperature detection item exceeds the preset shutdown threshold, the method further includes: If the real-time temperature does not exceed the preset shutdown threshold, the temperature detection item is iteratively detected based on a preset detection interval to obtain a temperature rise value corresponding to the temperature detection item; Determine whether the temperature rise value is greater than a preset temperature rise threshold; If yes, and the temperature rise value exceeds the preset power-off value, the laser cutting machine corresponding to the smart electric cabinet is powered off; If so, and the temperature rise value does not exceed the preset power-off value, the control mode of the output device corresponding to the detection item is obtained, and the expected control mode corresponding to the preset temperature rise threshold is obtained to determine whether to convert the control mode of the output device corresponding to the detection item.

8. The intelligent electric cabinet control method for a laser cutting machine according to claim 1, characterized in that: The preset multi-type sensors include: temperature sensor, humidity sensor, dust concentration sensor, light intensity sensor, flame sensor sensor.

9. An intelligent electric cabinet control device for a laser cutting machine, the device comprising: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can: execute any of the methods described in claims 1-8.

10. A non-volatile storage medium storing computer executable instructions, characterized in that: The computer executable instructions can: execute the method described in any one of claims 1 to 8.

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