Intelligent equipment management method and management system

Abstract

The invention relates to the technical field of equipment monitoring management, in particular to an intelligent equipment management method and management system. Comprising the following steps: a voltage detection module detects a power supply voltage, and supplies power to each sensor device if the voltage is normal; the equipment is started to run, each sensor of the detection unit detects various data of the equipment in real time and transmits the data to the central processing unit, and the data are analyzed by the central processing unit; when the central processing unit analyzes the data, judges whether early warning occurs or not and confirms that the machine has a fault, early warning is performed through the early warning display unit, a data report is generated, and related maintenance personnel maintain the machine according to the fault condition; according to the scheme, the operation condition of the equipment can be detected in real time, when the equipment breaks down, maintenance can be carried out in time, and the maintenance cost is saved.

Description

Technical Field

[0001] The present invention relates to the technical field of equipment monitoring and management, and in particular to an equipment intelligent management method and management system. Background Art

[0002] With the development of intelligent manufacturing industry, equipment is an important part of manufacturing. Currently, equipment maintenance mainly relies on manual regular inspection and maintenance. It is difficult to grasp the performance of equipment during regular intervals. When abnormalities occur, waste is caused, which correspondingly increases the cost of production and manufacturing. In the context of intelligent manufacturing industry, equipment also needs intelligent support. The equipment intelligent management system developed by our company is specially designed for equipment intelligent maintenance.

[0003] Nowadays, equipment maintenance, accuracy, and wear all require dedicated technicians to conduct on-site point inspections to detect abnormalities. Due to production reasons, only regular maintenance can be carried out, and equipment problems cannot be discovered in a timely manner. When problems occur, they are often sudden abnormalities, which not only affect production plans, but also take longer to repair, increasing the manufacturing costs of production companies.

[0004] Based on the above problems, there is an urgent need for an intelligent equipment management method and management system that can monitor the equipment in real time. When the equipment is about to fail, it can be detected immediately and an alarm can be issued to allow the corresponding maintenance personnel to perform maintenance. Summary of the invention

[0005] In view of the fact that the failures of current mechanical equipment are all sudden, mechanical maintenance requires a lot of time and affects production plans. The present invention provides an equipment intelligent management method and management system to solve the above problems.

[0006] To achieve the above object, the present invention is implemented through the following technical solutions: The present application discloses a device intelligent management method, including: S1: The voltage detection module detects the power supply voltage. If the voltage is normal, it will supply power to each sensor device. S2: The equipment starts running, and the sensors of the detection unit detect various data of the equipment in real time and transmit them to the central processing unit for analysis; S3: When the central processing unit analyzes the data and determines whether an early warning occurs and confirms that a machine failure occurs, an early warning will be issued through the early warning display unit and a data report will be generated. Relevant maintenance personnel will go to repair it according to the fault situation.

[0007] The above technical solution is adopted: in the above solution, various types of sensors are set on the equipment to detect the actual operating status of the equipment and transmit it to the central processing unit. The central processing unit judges the detected data to see if there is any abnormality in the detected data, thereby judging whether the equipment has a fault.

[0008] Preferably, it also includes: S4: The user inputs the equipment and the items required for maintenance of the equipment, and a maintenance inspection plan is generated according to the stored information in the database.

[0009] By adopting the above technical solution: the device can determine the fault type according to the detection data, and thus match the corresponding maintenance plan according to the fault type.

[0010] Further preferably, the S2 comprises: S21: After receiving the data collected from the detection unit, the host computer of the central processing unit converts the analog data into the value of the corresponding sensor; S22: Correct the data deviation, change the decimal point of the data and change the data unit.

[0011] Adopt the above technical solution: the above solution can correct the deviated data and make the data usable.

[0012] Further preferably, the S3 includes: S31: Select sensor data and other relevant business data corresponding to the workshop production line equipment to be analyzed on the user operation interface; S32: The user selects the sensor corresponding to the workshop production line equipment to be analyzed and the title information of the report in the operation interface, and the data filled in by the user is transmitted to the background server; S33: The backend server generates a data report by combining the data specified by the user operation with the analysis data in the system and the rules set by the user.

[0013] Using the above technical solution: the operator can generate the required data report through the operating steps provided above.

[0014] Further preferably, the S4 includes: S41: The user inputs the equipment and items to be maintained on the operation interface; S42: The user selects the equipment and the maintenance items required for the equipment, specifies the time for inspection, and the department personnel involved in the inspection, etc. on the operation interface, and the database saves the data and generates a plan; S43: The system periodically polls the plan specified by the user, and generates a task work order by polling the time nodes of the inspection plan, and then corresponds to specific personnel, equipment and equipment inspection items; S44: The responsible person shall classify the relevant materials into a maintenance inspection plan.

[0015] Adopt the above technical solution: the above solution can automatically generate a maintenance inspection report according to the fault, without manual work, can achieve precise maintenance, and can reduce a lot of manpower consumption.

[0016] Further preferably, the S1 comprises: S11: before supplying 24V voltage, the voltage detection module detects whether the voltage supply is normal, if yes, then execute step S12; S12: Convert the 24V power supply voltage into a 5V power supply voltage and transmit it to the central processing unit.

[0017] Adopting the above technical solution: the above solution can detect the power supply voltage and prevent the damage to each processing module caused by voltage abnormality.

[0018] Further preferably, an intelligent equipment management system is applied to the intelligent equipment management method as described above, comprising: Detection unit: The detection unit includes a vibration sensor, a temperature sensor and a volume sensor arranged at different detection positions of the device, which are used to monitor different parameters of the device in real time; Central processing unit: used to receive data detected by different types of sensors from the detection unit, and convert, correct and analyze the data; Communication unit: used for data transmission between the detection unit and the central processing unit; Early warning display unit: When a device fails, it will display the relevant abnormality on the display or output an abnormal display report to remind maintenance personnel.

[0019] The above technical solution is adopted: the detection unit in the above solution can detect various parameters of the equipment during operation, transmit the data to the central processing unit through the communication unit, and the central processing unit analyzes the detected data to determine whether a fault occurs and the type of fault.

[0020] Further preferably, the communication unit includes wired communication and wireless communication, the wireless communication includes: WIFI communication, Bluetooth communication and LoRa communication; the wired communication includes RS232 communication, RS485 communication and CAN communication.

[0021] Adopting the above technical solution: the above solution can realize the transmission of signals by both wired and wireless methods.

[0022] Further preferably, the central processing unit includes: a voltage detection module: used to detect whether the power supply voltage is normal, and supply power if the voltage is normal; a step-down module, an AD analog signal acquisition module, a CPU controller, and a DA digital signal chip.

[0023] The above technical solution can realize the recognition of fault signals, and when a fault occurs, it can send instructions to the corresponding module in time to display an alarm, so that relevant staff can carry out maintenance.

[0024] Further preferably, a data storage module is also included, which is responsible for reading the processed data from the data cache module and then opening a new thread to store the data in the database. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0026] Figure 1 This is a flow chart of the intelligent management method for equipment in this application; Figure 2 For this application Figure 1 Flowchart of step 2 in ; Figure 3 For this application Figure 1 Flowchart of step 3 in ; Figure 4 For this application Figure 1 Flowchart of step 4 in ; Figure 5 For this application Figure 1 Flowchart of step 1 in FIG. Figure 6 This is the connection diagram of the intelligent management system for the equipment in this application.

[0027] In the figure: 1. Detection unit; 2. Central processing unit; 3. Communication unit; 4. Warning display unit; 5. Voltage detection module; 6. Voltage reduction module; 7. AD analog signal acquisition module; 8. CPU controller; 9. DA digital signal chip; 10. Data storage module. DETAILED DESCRIPTION

[0028] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0029] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, wholes, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or combinations thereof.

[0030] See also Figure 1-6 For example, the original mechanical equipment does not have corresponding monitoring devices when it is running, and the equipment maintenance mainly relies on manual regular inspection and maintenance. It is difficult to grasp the performance of the equipment during the regular interval. When an abnormality occurs, it causes waste, which correspondingly increases the cost of production and manufacturing. Based on the above problems, the application embodiment discloses an intelligent equipment management method, including: S1: The voltage detection module 5 detects the power supply voltage, and if the voltage is normal, it supplies power to each sensor device; S2: The device starts running, and each sensor of the detection unit 1 detects various data of the device in real time and transmits them to the central processing unit 2 for analysis by the central processing unit 2; S3: When the central processing unit 2 analyzes the data and determines whether an early warning occurs, and confirms that the machine has a fault, it will issue an early warning through the early warning display unit 4 and generate a data report, and the relevant maintenance personnel will go to repair according to the fault situation. In the above scheme, various types of sensors are set on the equipment to detect the actual operating status of the equipment and transmit it to the central processing unit 2, which determines whether the detected data is abnormal, thereby determining whether the equipment has a fault.

[0031] Also includes: S4: The user inputs the equipment and the items required for maintenance of the equipment, and a maintenance inspection plan is generated according to the stored information in the database.

[0032] This equipment can determine the fault type based on the detection data, and thus match the corresponding maintenance plan according to the fault type; After analyzing the collected data in the system, the sensor data corresponding to the equipment and other relevant business data already exist in the database; the user selects the sensor corresponding to the workshop production line equipment to be analyzed in the operation interface; after receiving the report title and other information, the data filled in by the user is transmitted to the background service, and the background service combines the data specified by the user operation with the analysis data in the system with the rules set by the user to generate a data report.

[0033] Further preferably, the S2 comprises: S21: After receiving the data collected by the detection unit 1, the host computer of the central processing unit 2 converts the analog data into the value of the corresponding sensor; S22: Correct the data deviation, change the decimal point of the data and change the data unit.

[0034] The first process mainly involves the following data analysis and calculation processes: The data boundary comparison processing is as follows (upper / lower limit) warning / abnormal (commonly used for temperature, pressure, voltage, flow, vibration): the value of the collected sensor > the set value, the value of the collected sensor < the set value, the value of the collected sensor >= the set value, the value of the collected sensor <= the set value; Data process change processing (deterioration detection) Data change rate identification setting data (normal data) and the average of the collected sensor values ​​(users set according to actual conditions, factory setting 10), its calculation formula is as follows: if (sensor average value > set value): sensor average value / set value / 100%-100%; If sensor average value > set value): set value / sensor average value / 100%-100%.

[0035] The above scheme can correct the deviated data and make the data usable.

[0036] The S3 includes: S31: Select sensor data and other relevant business data corresponding to the workshop production line equipment to be analyzed on the user operation interface; S32: The user selects the sensor corresponding to the workshop production line equipment to be analyzed and the title information of the report in the operation interface, and the data filled in by the user is transmitted to the background server; S33: The backend server generates a data report by combining the data specified by the user operation with the analysis data in the system and the rules set by the user. The operator can generate the required data report through the operation steps provided above.

[0037] The S4 includes: S41: The user inputs the equipment and items to be maintained on the operation interface; S42: The user selects the equipment and the maintenance items required for the equipment, specifies the time for inspection, and the department personnel involved in the inspection, etc. on the operation interface, and the database saves the data and generates a plan; S43: The system periodically polls the plan specified by the user, and generates a task work order by polling the time nodes of the inspection plan, and then corresponds to specific personnel, equipment and equipment inspection items; S44: The relevant responsible person classifies the relevant materials into a maintenance inspection plan. The above solution can automatically generate a maintenance inspection report based on the fault without manual work, which can achieve accurate maintenance and reduce a lot of manpower consumption.

[0038] The S1 includes: S11: before supplying 24V voltage, the voltage detection module 5 detects whether the voltage supply is normal, if yes, then executes step S12; S12: Convert the 24V power supply voltage into a 5V power supply voltage and transmit it to the central processing unit 2.

[0039] The above solution can detect the power supply voltage and prevent the damage to each processing module caused by voltage abnormality.

[0040] An intelligent equipment management system, applied to the intelligent equipment management method as described above, comprises: Detection unit 1: The detection unit 1 includes a vibration sensor, a temperature sensor and a volume sensor arranged at different detection positions of the device, and is used to monitor different parameters of the device in real time; Central processing unit 2: used to receive data detected by different types of sensors from detection unit 1, and convert, correct and analyze the data; Communication unit 3: used for data transmission between detection unit 1 and central processing unit 2; Early warning display unit 4: When a device fails, it will display the relevant abnormality on the display or output an abnormal display report to remind the maintenance personnel. The detection unit 1 in the above scheme can detect various parameters of the device during operation, and transmit the data to the central processing unit 2 through the communication unit 3. The central processing unit 2 analyzes the detected data to determine whether a fault occurs and the type of fault.

[0041] The communication unit 3 includes wired communication and wireless communication, the wireless communication includes: WIFI communication, Bluetooth communication and LoRa communication; the wired communication includes RS232 communication, RS485 communication and CAN communication. The above scheme can realize the transmission of signals by wired and wireless methods.

[0042] The central processing unit 2 includes: a voltage detection module 5: used to detect whether the power supply voltage is normal, and supply power if the voltage is normal; a voltage reduction module 6, an AD analog signal acquisition module 7, a CPU controller 8, and a DA digital signal chip 9.

[0043] It can identify fault signals and send instructions to the corresponding modules in time to display alarms when a fault occurs, so that relevant staff can carry out repairs.

[0044] Further preferably, a data storage module 10 is also included, which is responsible for reading the processed data from the data cache module and then opening a new thread to store the data in the database.

[0045] Unless otherwise specified, the device components involved in the above embodiments are all conventional device components, and the connection methods and control methods involved are all conventional connection methods and control methods unless otherwise specified.

[0046] The present invention has been described in detail above in conjunction with the embodiments. However, those skilled in the art will appreciate that, without departing from the spirit of the present invention, the specific parameters in the above embodiments may be changed to form a plurality of specific embodiments, which are all within the common variation range of the present invention and will not be described in detail herein.

Claims

1. A device intelligent management method, characterized in that: include: S1: The voltage detection module detects the power supply voltage. If the voltage is normal, it will supply power to each sensor device. S2: The equipment starts running, and the sensors of the detection unit detect various data of the equipment in real time and transmit them to the central processing unit for analysis; S3: When the central processing unit analyzes the data and determines whether an early warning occurs and confirms that a machine failure occurs, an early warning will be issued through the early warning display unit and a data report will be generated. Relevant maintenance personnel will go to repair it according to the fault situation.

2. A device intelligent management method according to claim 1, characterized in that: Also includes: S4: The user inputs the equipment and the items required for maintenance of the equipment, and a maintenance inspection plan is generated according to the stored information in the database.

3. The device intelligent management method according to claim 1, characterized in that: The S2 includes: S21: After receiving the data collected from the detection unit, the host computer of the central processing unit converts the analog data into the value of the corresponding sensor; S22: Correct the data deviation, change the decimal point of the data and change the data unit.

4. The device intelligent management method according to claim 2, characterized in that: The S3 includes: S31: Select sensor data and other relevant business data corresponding to the workshop production line equipment to be analyzed on the user operation interface; S32: The user selects the sensor corresponding to the workshop production line equipment to be analyzed and the title information of the report in the operation interface, and the data filled in by the user is transmitted to the background server; S33: The backend server generates a data report by combining the data specified by the user operation with the analysis data in the system and the rules set by the user.

5. The device intelligent management method according to claim 1, characterized in that: The S4 includes: S41: The user inputs the equipment and items to be maintained on the operation interface; S42: The user selects the equipment and the maintenance items required for the equipment, specifies the time for inspection, and the department personnel involved in the inspection, etc. on the operation interface, and the database saves the data and generates a plan; S43: The system periodically polls the plan specified by the user, and generates a task work order by polling the time nodes of the inspection plan, and then corresponds to specific personnel, equipment and equipment inspection items; S44: The responsible person shall classify the relevant materials into a maintenance inspection plan.

6. The device intelligent management method according to claim 1, characterized in that: The S1 includes: S11: before supplying 24V voltage, the voltage detection module detects whether the voltage supply is normal, if yes, then execute step S12; S12: Convert the 24V power supply voltage into a 5V power supply voltage and transmit it to the central processing unit.

7. An intelligent equipment management system, applied to the intelligent equipment management method according to claims 1-6, characterized in that: include: Detection unit: The detection unit includes a vibration sensor, a temperature sensor and a volume sensor arranged at different detection positions of the device, which are used to monitor different parameters of the device in real time; Central processing unit: used to receive data detected by different types of sensors from the detection unit, and convert, correct and analyze the data; Communication unit: used for data transmission between the detection unit and the central processing unit; Early warning display unit: When a device fails, it will display the relevant abnormality on the display or output an abnormal display report to remind maintenance personnel.

8. The intelligent equipment management system according to claim 7, characterized in that: The communication unit includes wired communication and wireless communication, the wireless communication includes: WIFI communication, Bluetooth communication and LoRa communication; the wired communication includes RS232 communication, RS485 communication and CAN communication.

9. The intelligent equipment management system according to claim 7, characterized in that: The central processing unit includes: a voltage detection module: used to detect whether the power supply voltage is normal, and supply power if the voltage is normal; a voltage reduction module, an AD analog signal acquisition module, a CPU controller, and a DA digital signal chip.

10. The intelligent equipment management system according to claim 7, characterized in that: It also includes a data storage module, which is responsible for reading the processed data from the data cache module and then opening a new thread to store the data in the database.

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