Equipment management method and communication device

Abstract

The invention discloses an equipment management method and a communication device, and relates to the technical field of communication, and the method comprises the steps: carrying out the omnibearing and real-time monitoring of a plurality of pieces of equipment through employing a monitoring technology, and precisely obtaining the operation state data of each piece of equipment; classifying the equipment by using an intelligent algorithm according to the acquired running state data; and adaptive management strategies are adopted for different types of equipment. Omnibearing real-time monitoring is achieved through a high-precision sensor, the operation state of equipment is accurately mastered, the equipment is classified through an intelligent algorithm, management strategies are customized for different types of equipment, stable operation of normal equipment is ensured, potential fault equipment is prevented in advance, the fault equipment is rapidly repaired, and personalized information services are provided for a communication device. Related personnel can conveniently grasp equipment conditions at any time, data accuracy is guaranteed through the self-diagnosis and self-calibration functions of the sensors, integrated intelligent management is achieved through cooperative work of the strategy execution modules, and the equipment management efficiency, accuracy and intelligent level are improved.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a device management method and a communication device. Background Art

[0002] In today's industrial production and various technology application scenarios, the stable operation of equipment is crucial. With the continuous advancement of science and technology, the types of equipment are becoming more and more diverse, the functions are constantly enhanced, and the structure is becoming more and more complex. Traditional equipment management methods mainly rely on manual inspections and experience judgments, which have many limitations. On the one hand, the manual inspection method is inefficient and it is difficult to achieve real-time monitoring of many devices. Inspectors need to spend a lot of time shuttling between equipment, which is not only labor-intensive, but also cannot guarantee that the operating status of each device can be grasped in a timely and accurate manner. At the same time, due to the intermittent nature of inspections, equipment failures may occur between two inspections and are not discovered in time, thus affecting the continuity and stability of production. On the other hand, the traditional method is not accurate in judging the operating status of equipment. Relying solely on manual observation and experience judgment, it is easy to make misjudgments and missed judgments. For some potential signs of failure, such as slight changes in equipment operating parameters, it is often difficult for humans to detect them. By the time the failure is obvious, it may have caused a great impact on production. In addition, traditional equipment management lacks intelligent means. It is impossible to automatically adjust the management strategy according to the actual operation of the equipment, and it is impossible to analyze and predict the operating status of the equipment in real time. In the face of complex and ever-changing equipment operating environments, traditional management methods are unable to meet the needs of modern industry for efficient, accurate, and intelligent equipment management. In summary, in order to improve the efficiency, accuracy, and intelligence level of equipment management, a new equipment management method and communication device are urgently needed. Summary of the invention

[0003] The object of the present invention is to provide a device management method and a communication device to solve at least any one of the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a device management method, comprising the following steps: Use monitoring technology to conduct all-round, real-time monitoring of multiple devices, and accurately obtain the operating status data of each device, which covers key parameters such as temperature, pressure, current, voltage, and operating time of the device; Based on the acquired operating status data, intelligent algorithms are used to classify the equipment: specifically, the equipment is divided into three categories: normally operating equipment, potential fault equipment, and faulty equipment. By setting multiple judgment thresholds, when the operating status data of the equipment is completely within the normal range, it is judged as a normally operating equipment; when the operating status data of the equipment exceeds the normal range but does not reach the fault threshold, it is judged as a potential fault equipment; when the operating status data of the equipment reaches or exceeds the fault threshold, it is judged as a faulty equipment; Adopt appropriate management strategies for different types of equipment: For normally operating equipment, conduct comprehensive routine maintenance inspections according to the established time cycle to ensure the continuous and stable operation of the equipment. For potential faulty equipment, issue clear early warning signals in a timely manner, initiate in-depth detection and analysis procedures, and use professional fault diagnosis technology to determine the specific location and cause of potential faults so that preventive and repair measures can be taken in advance. For faulty equipment, automatically initiate an efficient fault repair procedure, which includes automatic restart of the equipment, reasonable adjustment of equipment parameters, and precise replacement of faulty parts.

[0005] Preferably, the acquisition of the operating status data is achieved through a plurality of high-precision sensors installed on the equipment. These sensors can collect various operating parameters of the equipment in real time and accurately transmit the data to the management system for analysis and processing.

[0006] Preferably, in the step of classifying the equipment, the setting of the judgment threshold is based on learning and summarizing a large amount of equipment operation data.

[0007] Preferably, when the fault repair program is started, it will automatically select the most appropriate repair method according to the specific situation of the fault, and record key data in the repair process to provide a reference for subsequent equipment management and fault analysis.

[0008] Device communication apparatus Preferably, the communication device includes the following main modules: The data acquisition module is equipped with multiple high-performance sensors to monitor multiple devices in real time and accurately obtain the operating status data of each device; The data analysis module uses advanced data analysis algorithms and software to conduct in-depth analysis of the collected operating status data and quickly and accurately classify the equipment; The policy execution module adopts corresponding management policies for different types of devices based on the classification results of the devices; The communication module adopts advanced wireless communication technology and can communicate with mobile devices stably and efficiently, so that relevant personnel can receive equipment management information anytime and anywhere.

[0009] Preferably, when communicating with the mobile device, the communication module can provide personalized equipment management information services according to user needs, including equipment operation status query, fault warning notification, maintenance progress tracking and other functions.

[0010] Preferably, the sensor in the data acquisition module has self-diagnosis and self-calibration functions, which can timely detect the fault of the sensor itself and perform automatic calibration.

[0011] Preferably, the policy execution module can work in collaboration with other device management systems when executing management policies to achieve integrated and intelligent device management.

[0012] The beneficial effects of the present invention are as follows: All-round real-time monitoring: Through the installation of multiple high-precision sensors on the equipment, all-round and real-time monitoring of multiple devices can be achieved, and the operating status data of each device can be accurately obtained, including key parameters such as temperature, pressure, current, voltage and operating time. This helps to detect abnormal conditions of the equipment in a timely manner and improve the reliability and stability of the equipment.

[0013] Intelligent classification management: Use intelligent algorithms to classify equipment into three categories: normally operating equipment, potentially faulty equipment, and faulty equipment. By setting multiple judgment thresholds, the operating status of the equipment can be accurately judged, providing a basis for adopting appropriate management strategies for different types of equipment.

[0014] Targeted management strategies: Adopt management strategies that are appropriate for different types of equipment to improve the efficiency and effectiveness of equipment management. For equipment in normal operation, conduct comprehensive routine maintenance inspections at established time periods to ensure continuous and stable operation of the equipment. For equipment with potential faults, issue early warning signals in a timely manner and initiate in-depth detection and analysis procedures so that preventive and repair measures can be taken in advance. For faulty equipment, automatically initiate efficient fault repair procedures, including automatic restart of the equipment, reasonable adjustment of equipment parameters, and precise replacement of faulty parts, which can quickly restore the normal operation of the equipment.

[0015] Personalized information service: The communication device uses advanced wireless communication technology, which can communicate with mobile devices stably and efficiently, and provide personalized equipment management information services for relevant personnel. Users can receive equipment management information anytime and anywhere, including equipment operation status query, fault warning notification, maintenance progress tracking and other functions, which improves the convenience and transparency of equipment management.

[0016] Integrated and intelligent management: The policy execution module can work in collaboration with other equipment management systems to achieve integrated and intelligent equipment management. Through information sharing and collaborative decision-making, it can improve the efficiency and effectiveness of equipment management and reduce the cost and risk of equipment management.

[0017] Data accuracy and reliability: The sensors in the data acquisition module have self-diagnosis and self-calibration functions, which can promptly detect the sensor's own faults and perform automatic calibration, ensuring the accuracy and reliability of the collected data. At the same time, when the fault repair program is started, it will record key data in the repair process to provide a reference for subsequent equipment management and fault analysis. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a partial structural schematic diagram of the communication device of the present invention; Figure 2 It is a partial schematic diagram of the device management method of the present invention; Figure 3 It is a partial schematic diagram of the device detection and data acquisition method of the present invention; Figure 4 It is a partial schematic diagram of the device classification method of the present invention; Figure 5 It is a partial schematic diagram of the management strategy implementation method of the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The present invention provides Figure 1-4 A device management method and communication device shown include the following steps: Use monitoring technology to conduct all-round, real-time monitoring of multiple devices, and accurately obtain the operating status data of each device, which covers key parameters such as temperature, pressure, current, voltage, and operating time of the device; Based on the acquired operating status data, intelligent algorithms are used to classify the equipment: specifically, the equipment is divided into three categories: normally operating equipment, potential fault equipment, and faulty equipment. By setting multiple judgment thresholds, when the operating status data of the equipment is completely within the normal range, it is judged as a normally operating equipment; when the operating status data of the equipment exceeds the normal range but does not reach the fault threshold, it is judged as a potential fault equipment; when the operating status data of the equipment reaches or exceeds the fault threshold, it is judged as a faulty equipment; Adopt appropriate management strategies for different types of equipment: For normally operating equipment, conduct comprehensive routine maintenance inspections according to the established time cycle to ensure the continuous and stable operation of the equipment. For potential faulty equipment, issue clear early warning signals in a timely manner, initiate in-depth detection and analysis procedures, and use professional fault diagnosis technology to determine the specific location and cause of potential faults so that preventive and repair measures can be taken in advance. For faulty equipment, automatically initiate an efficient fault repair procedure, which includes automatic restart of the equipment, reasonable adjustment of equipment parameters, and precise replacement of faulty parts.

[0021] The acquisition of the operating status data is achieved through multiple high-precision sensors installed on the equipment. These sensors can collect various operating parameters of the equipment in real time and accurately transmit the data to the management system for analysis and processing.

[0022] In the step of classifying the equipment, the setting of the judgment threshold is based on learning and summarizing a large amount of equipment operation data.

[0023] When the fault repair program is started, it will automatically select the most appropriate repair method according to the specific situation of the fault, and record key data in the repair process to provide a reference for subsequent equipment management and fault analysis.

[0024] Used to implement the device management method according to any one of claims 1 to 4; The communication device includes the following main modules: The data acquisition module is equipped with multiple high-performance sensors to monitor multiple devices in real time and accurately obtain the operating status data of each device; The data analysis module uses advanced data analysis algorithms and software to conduct in-depth analysis of the collected operating status data and quickly and accurately classify the equipment; The policy execution module adopts corresponding management policies for different types of devices based on the classification results of the devices; The communication module adopts advanced wireless communication technology and can communicate with mobile devices stably and efficiently, so that relevant personnel can receive equipment management information anytime and anywhere.

[0025] When communicating with the mobile device, the communication module can provide personalized equipment management information services according to the needs of the user, including equipment operation status query, fault warning notification, maintenance progress tracking and other functions.

[0026] The sensor in the data acquisition module has self-diagnosis and self-calibration functions, and can timely detect the fault of the sensor itself and perform automatic calibration.

[0027] When executing management policies, the policy execution module can work in collaboration with other device management systems to achieve integrated and intelligent device management.

[0028] In view of the above content, the present invention includes the following embodiments: Sensor selection and layout model generation process: First, conduct detailed operating characteristic analysis of different types of equipment, including operating temperature range, pressure variation range, current and voltage fluctuations, etc. According to the analysis results, select a sensor with the corresponding measurement range and accuracy. For example, for temperature measurement, if the equipment operating temperature is between 0-100°C, you can choose a temperature sensor with a measurement range of -50-150°C and an accuracy of ±0.5°C. For sensor layout, simulation methods can be used. Assuming that the device is a three-dimensional geometric body, modeling is performed based on physical processes such as heat conduction, fluid flow, and electromagnetic field distribution inside the device. Finite element analysis and other methods are used to determine locations where key parameter changes may occur, and sensors are arranged at these locations.

[0029] Data collection and transmission model generation process: When determining the sampling frequency, the dynamic characteristics of the equipment and the real-time nature of the monitoring requirements should be considered. For rapidly changing parameters, such as instantaneous fluctuations in current and voltage, a higher sampling frequency can be used, such as 100 samples per second. For relatively stable parameters, such as equipment operating time, a lower sampling frequency can be used, such as once per minute; Data transmission can adopt reliable communication protocols, such as TCP / IP protocol. During the transmission process, the data is encrypted and verified to ensure the integrity and security of the data.

[0030] Data Analysis Module Device classification model generation process: Collect a large amount of equipment operation data, including temperature, pressure, current, voltage, operating time and other parameters, and pre-process the data, including removing outliers and normalizing the data; Select a suitable machine learning algorithm, such as support vector machine (SVM), divide the preprocessed data into training set and test set, use the training set to train the vector machine SVM model, and adjust the model parameters to improve classification accuracy; Use the test set to evaluate the trained model. If the model performance meets the requirements, it can be used for device classification. Vector machine SVM classification model, its decision function is expressed as:

[0031] in, is the input device operation status data vector, is the number of training samples, is the Lagrange multiplier, For the sample label (normally operating device, potentially faulty device, or faulty device), is the kernel function, is the bias term.

[0032] Fault diagnosis model generation process: For potential faulty equipment, further analysis of its operating status data can be done by using rule-based reasoning algorithms or expert systems to establish a fault diagnosis rule base based on the structure and working principle of the equipment; Machine learning methods such as neural networks can be used to train fault data and establish a fault diagnosis model.

[0033] Policy Execution Module Management strategy selection model generation process: Establish a policy selection rule base to determine the management strategy based on the equipment classification results and other factors (such as equipment importance, fault impact, etc.). For example, for important and normally operating equipment, the time cycle of routine maintenance inspection can be shortened; for faulty equipment with greater fault impact, repairs are given priority; Collaborative work model generation process: Define the communication protocols and interface specifications between equipment management systems to ensure efficient information exchange and collaborative decision-making; Distributed collaborative algorithms, such as consistent hashing algorithms, are used to assign devices to different management systems for management. When collaborative work is required, information sharing and decision coordination are carried out through communication protocols.

[0034] 4. Communication Module Wireless communication protocol selection model generation process: Analyze the characteristics of different wireless communication technologies, such as Bluetooth's short-range communication, Wi-Fi's high-speed data transmission, and ZigBee's low power consumption.

[0035] Select the most appropriate wireless communication technology based on the needs of device management and the characteristics of the communication environment. For example, for devices distributed over a large area, you can choose Wi-Fi or ZigBee; for devices that need to communicate with mobile devices at close range, you can choose Bluetooth.

[0036] Personalized service model generation process: Establish a user demand model and determine the user's personalized demand for device management information by analyzing the user's query history, operation habits and other information; Provide users with customized equipment management information services based on the user demand model. For example, for users who often pay attention to specific equipment, the operating status information and fault warning notifications of the equipment can be pushed preferentially.

[0037] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A device management method, characterized in that: The following steps are involved: Use monitoring technology to conduct all-round, real-time monitoring of multiple devices, and accurately obtain the operating status data of each device, which covers key parameters such as temperature, pressure, current, voltage, and operating time of the device; Based on the acquired operating status data, intelligent algorithms are used to classify the equipment: specifically, the equipment is divided into three categories: normally operating equipment, potential fault equipment, and faulty equipment. By setting multiple judgment thresholds, when the operating status data of the equipment is completely within the normal range, it is judged as a normally operating equipment; when the operating status data of the equipment exceeds the normal range but does not reach the fault threshold, it is judged as a potential fault equipment; when the operating status data of the equipment reaches or exceeds the fault threshold, it is judged as a faulty equipment; Adopt appropriate management strategies for different types of equipment: For normally operating equipment, conduct comprehensive routine maintenance inspections according to the established time cycle to ensure the continuous and stable operation of the equipment. For potential faulty equipment, issue clear early warning signals in a timely manner, initiate in-depth detection and analysis procedures, and use professional fault diagnosis technology to determine the specific location and cause of potential faults so that preventive and repair measures can be taken in advance. For faulty equipment, automatically initiate an efficient fault repair procedure, which includes automatic restart of the equipment, reasonable adjustment of equipment parameters, and precise replacement of faulty parts.

2. A device management method according to claim 1, characterized in that: The acquisition of the operating status data is achieved through multiple high-precision sensors installed on the equipment. These sensors can collect various operating parameters of the equipment in real time and accurately transmit the data to the management system for analysis and processing.

3. A device management method according to claim 1, characterized in that: In the step of classifying the equipment, the setting of the judgment threshold is based on learning and summarizing a large amount of equipment operation data.

4. A device management method according to claim 1, characterized in that: When the fault repair program is started, it will automatically select the most appropriate repair method according to the specific situation of the fault, and record key data in the repair process to provide a reference for subsequent equipment management and fault analysis.

5. A device communication apparatus, characterized in that: Used to implement the device management method according to any one of claims 1 to 4; The communication device includes the following main modules: The data acquisition module is equipped with multiple high-performance sensors to monitor multiple devices in real time and accurately obtain the operating status data of each device; The data analysis module uses advanced data analysis algorithms and software to conduct in-depth analysis of the collected operating status data and quickly and accurately classify the equipment; The policy execution module adopts corresponding management policies for different types of devices based on the classification results of the devices; The communication module adopts advanced wireless communication technology and can communicate with mobile devices stably and efficiently, so that relevant personnel can receive equipment management information anytime and anywhere.

6. A device communication apparatus according to claim 5, characterized in that: When communicating with the mobile device, the communication module can provide personalized equipment management information services according to the needs of the user, including equipment operation status query, fault warning notification, maintenance progress tracking and other functions.

7. The device communication apparatus according to claim 5, characterized in that: The sensor in the data acquisition module has self-diagnosis and self-calibration functions, and can timely detect the fault of the sensor itself and perform automatic calibration.

8. The device communication apparatus according to claim 5, characterized in that: When executing management policies, the policy execution module can work in collaboration with other device management systems to achieve integrated and intelligent device management.

Images