Asset equipment full life cycle management system and method

Abstract

The invention belongs to the technical field of equipment management, and particularly relates to an asset equipment full life cycle management system and method, and the system comprises an equipment management module, an operation monitoring module, an equipment maintenance module, a spare part management module, a data analysis module, and a decision module. By utilizing the spare part management module, the spare part inventory is always kept at a reasonable level, and production interruption caused by spare part shortage is avoided; the data analysis module quantifies the health degree of the equipment according to the operation data of the equipment to obtain the maintenance metric value of the equipment so as to reflect the health degree of the equipment, and then the decision-making module is utilized to decide the scrap time according to the health degree of the equipment, so that the equipment can be replaced preventively, the full life cycle management of the equipment is optimized, and the maintenance efficiency of the equipment is improved. And a feedback mechanism is added among equipment maintenance, emergency and decision-making scrapping, so that preventive maintenance and preventive scrapping of the equipment in advance are facilitated, and the influence on the production efficiency caused by the fact that the equipment is not prevented in advance due to failure and scrapping of the equipment is avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment management, and in particular to an asset equipment full life cycle management system and method. Background Art

[0002] With the continuous deepening of industrial automation and informatization, equipment management has become an important part of enterprise production operations. Traditional equipment management methods mainly rely on manual records and regular maintenance, which is not only inefficient but also prone to omissions and errors. Therefore, how to achieve efficient management of the entire life cycle of equipment has become an urgent problem to be solved.

[0003] The existing patent with publication number CN118071268A discloses a full life cycle management system for water plant equipment. The embodiment of the present invention manages the full life cycle of various equipment in the water plant through equipment management, warehouse management, maintenance management, planning management, monitoring management and report management, proposes the correlation between equipment maintenance and equipment parts, and establishes the flow path of equipment maintenance and inventory management, and proposes qualitative standards for maintenance of non-metering equipment and quantitative standards for maintenance of measurable equipment. The embodiment of the present invention realizes the combination of static data of equipment management and dynamic maintenance, which can promote the refined development of equipment management, significantly improve the overall efficiency of equipment, improve the equipment management process, reduce the occurrence rate of equipment failure, and provide technical guarantee for the safe operation of water plants.

[0004] Based on the above-mentioned existing technologies, in the actual application process, the traditional manual records and regular maintenance are only transformed into a management system based on the B / S architecture, which essentially still requires manual sorting. As a result, during the use of the management system, there is still a lack of feedback and contact mechanism for the entire life cycle management process of equipment maintenance, emergency response and decision-making on scrapping, and it is impossible to further optimize the full life cycle management of the equipment.

[0005] To this end, the present invention provides an asset equipment full life cycle management system and method. Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: an asset equipment full life cycle management system described in the present invention comprises: Equipment management module, used to input and update basic equipment information, spare parts information, warning information, maintenance plan information and equipment history information; Operation monitoring module, used to collect equipment operation data in real time based on sensors and monitoring systems; Equipment maintenance module, used to automatically generate maintenance plans based on equipment operating status data; Spare parts management module, used to predict spare parts demand based on equipment operating status and maintenance history, and replenish spare parts inventory in a timely manner; Data analysis module, used to optimize equipment usage and preventive maintenance plans based on analysis of equipment operation data; The decision-making module is used to evaluate the health of the equipment and decide whether to scrap the equipment.

[0008] Preferably, the equipment management module includes an equipment column, a spare parts column, an early warning column, a maintenance plan column and an equipment history column, which are respectively used to record equipment basic information, spare parts information, early warning information, maintenance plan information and equipment history information; The basic information of the equipment includes the equipment name, number, supplier, activation date, expiration date, user unit and location; The spare parts information includes the service time of the spare parts; The warning information includes equipment abnormality indicators, equipment number and equipment location; The maintenance plan information includes maintenance time, equipment number and corresponding maintenance plan; The equipment history information includes equipment number and historical maintenance records.

[0009] Preferably, the warning information is obtained by the operation monitoring module based on the analysis of the data collected in real time. When the operation data of the equipment is abnormal, the equipment operation monitoring module outputs the corresponding warning information, and the warning information is uploaded to the equipment management module and stored in the warning information column; The equipment maintenance module is also used to formulate emergency maintenance tasks, which carry equipment location information, equipment abnormality indicator information and required spare parts information; when the equipment management module displays warning information, the equipment maintenance module automatically generates an emergency maintenance task.

[0010] Preferably, the equipment history information is a historical maintenance record of the equipment, including the historical maintenance date and duration, historical maintainer, and historical maintenance content.

[0011] Preferably, the equipment maintenance module further includes a calculation unit, which is used to calculate the maintenance metric value of the equipment according to the equipment operation data, by the method of: Data collection, collecting equipment operating data, including temperature, pressure, and speed; Data preprocessing, including data cleaning, denoising and standardization, to obtain the actual value and worst value of the individual indicators; Single indicator evaluation score: According to the formula: in, It is the real-time value of a single indicator in the equipment operation data. It is the worst historical value of a single indicator in the equipment operation data. The best operating value of the equipment is set at the factory. The real-time value of the equipment's single index and the historical worst value of the single index are obtained by data preprocessing; Indicates the score of any indicator; Calculate maintenance metrics: in, Indicates the equipment maintenance metric value, Indicates the number of indicators used to evaluate the equipment maintenance metric. The weight corresponding to the evaluation score of the equipment operation index.

[0012] Preferably, the method for the equipment maintenance module to formulate a maintenance plan based on the equipment maintenance metric value is: Get maintenance metrics for your equipment and pre-set multiple maintenance plans, including: A first maintenance plan, wherein the first maintenance plan satisfies a maintenance metric value of the equipment ; A second maintenance plan, wherein the second maintenance plan satisfies the maintenance metric value of the equipment ; A third maintenance plan, wherein the third maintenance plan satisfies the maintenance metric value of the equipment ; in, They are the preset health level thresholds; A maintenance plan is formulated for the equipment according to the maintenance metric value of the equipment.

[0013] Preferably, the data analysis module optimizes the use of the equipment based on the analysis of the equipment operation data, and also includes evaluating the health of the equipment and replacing the equipment in time when the health of the equipment is at the scrap level; The method for evaluating the health of the equipment comprises the following steps: Obtain maintenance metrics for equipment; Evaluate the health of the equipment based on its maintenance metrics: Set levels corresponding to different levels of device health, including: A health level that satisfies the maintenance metric ; Sub-health level, the sub-health level meets the maintenance metric value ; A pathological level, the pathological level satisfies the maintenance metric value ; A scrap level that satisfies the maintenance metric ; According to the calculated , assess the health of the equipment.

[0014] Preferably, the device management module further includes a device attribute and status bar for displaying the operation attribute and status of the device, wherein the operation attribute and status include in operation and scrapped; When the health status of the equipment is assessed as scrapped, the decision module outputs a scrapping instruction and uploads it to the equipment management module, and the operation attribute and status column updates the operation attribute and status of the equipment as scrapped; The decision module is also used to decide whether to replace the equipment when the equipment has an early warning message, the method is as follows: Obtain the health level of the equipment, including healthy level, sub-health level, pathological level and scrap level; When the equipment is at the sick level, the repair cost and replacement cost of the equipment are calculated; When the equipment replacement cost is greater than the repair cost, the equipment is not replaced; When the equipment replacement cost is less than or equal to the maintenance cost, output the equipment replacement instruction; The device management module receives a device replacement instruction and replaces the device; The equipment maintenance cost is obtained based on historical maintenance records, and the replacement cost is provided by the supplier.

[0015] Preferably, the spare parts management module is also used to display inventory quantity and in-and-out records; the method for the spare parts management module to replenish spare parts inventory is: Obtain equipment operation data and historical maintenance records, and use machine learning algorithms to establish a spare parts demand forecasting model; Predict the demand for spare parts in the future based on the health of the equipment and historical maintenance records; Outputting forecast results, the forecast results including spare parts type, quantity and estimated demand time; Set safety stock levels based on forecast results and spare parts supply cycles; When the inventory quantity falls below the safety stock level, a replenishment notification is issued.

[0016] A method for managing the entire life cycle of assets and equipment includes the following steps: S1: Equipment information entry and update; S2: Monitor the operation of the equipment in real time based on the monitoring system and obtain the equipment operation data; S3: Customize maintenance plans based on equipment service time and maintenance cycle; S4: Based on the monitoring system, when warning information appears, emergency maintenance is carried out; S5: Analyze equipment maintenance metrics based on equipment operation data acquired through monitoring; S6: Update the equipment maintenance plan according to the maintenance metric value; S7: Rating the equipment based on its maintenance metrics, and replacing the equipment when it is at the scrap level.

[0017] The beneficial effects of the present invention are as follows: 1. The asset equipment full life cycle management system and method described in the present invention utilizes a spare parts management module to keep the spare parts inventory at a reasonable level at all times, thereby avoiding production interruptions due to spare parts shortages; finally, through the data analysis module, the health of the equipment is quantified based on the equipment's operating data, and the equipment maintenance measurement value is obtained to reflect the health of the equipment. The decision-making module is then used to decide the scrapping time based on the equipment's health, thereby enabling preventive replacement of equipment and optimizing the equipment's full life cycle management. An additional feedback mechanism is added between equipment maintenance, emergency response, and decision-making on scrapping, which is conducive to early preventive maintenance and preventive scrapping of equipment, thereby avoiding the impact on production efficiency due to equipment failure and scrapping that is not prevented in advance. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described below in conjunction with the accompanying drawings.

[0019] Figure 1 is a flow chart of the present invention; Figure 2 is a schematic diagram of device management in the present invention; Figure 3 is a schematic diagram of device attributes and states in the present invention; Figure 4 It is a schematic diagram of the early warning information in the present invention; Figure 5 It is a schematic diagram of the equipment history in the present invention. DETAILED DESCRIPTION

[0020] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0021] like Figure 1 to Figure 2As shown, an asset equipment full life cycle management system described in an embodiment of the present invention includes an equipment management module for entering and updating basic equipment information, spare parts information, warning information, maintenance plan information and equipment history information; an operation monitoring module for collecting equipment operation data in real time based on sensors and monitoring systems; an equipment maintenance module for automatically generating maintenance plans based on equipment operation status data; a spare parts management module for predicting spare parts requirements based on equipment operation status and maintenance history, and replenishing spare parts inventory in a timely manner; a data analysis module for optimizing equipment use and preventive maintenance plans based on analysis of equipment operation data; and a decision-making module for deciding to scrap equipment based on equipment health assessment.

[0022] In the actual application process, the traditional manual records and regular maintenance are simply transformed into a management system based on the B / S architecture, which essentially still requires manual sorting. As a result, during the use of the management system, there is still a lack of feedback and contact mechanism for the entire life cycle management process of equipment maintenance, emergency response and decision-making on scrapping, and it is impossible to further optimize the full life cycle management of the equipment.

[0023] Based on the above, in one embodiment of the present invention, firstly, an electronic file is established for all the equipment in the factory, that is, the basic information of the equipment, spare parts information, maintenance plan information and equipment history information are input and updated by the equipment management module, and the real-time collection of equipment operation data is realized by installing sensors and accessing the monitoring system. When the operation data of the equipment is abnormal during operation, the warning information is output and uploaded to the equipment management module. The operation data of the equipment is obtained in real time through the operation monitoring module to realize the full life cycle monitoring of the equipment. Then, the corresponding maintenance plan is generated according to the service time of the equipment and the historical maintenance record of the equipment through the maintenance module to extend the service life of the equipment and reduce the equipment downtime. Machine time, secondly, by using the spare parts management module, the spare parts inventory is always maintained at a reasonable level, avoiding production interruptions caused by spare parts shortages; finally, through the data analysis module, the health of the equipment is quantified according to the equipment's operating data, and the equipment maintenance measurement value is obtained to reflect the health of the equipment. The decision-making module is then used to decide the scrapping time according to the equipment's health, so that the equipment can be replaced preventively. At the same time, the equipment's full life cycle management is optimized, and an additional feedback mechanism is added between equipment maintenance, emergency response, and decision-making on scrapping, which is conducive to preventive maintenance and preventive scrapping of equipment in advance, avoiding the impact of production efficiency due to equipment failure and scrapping without early prevention.

[0024] In one embodiment, the equipment management module includes an equipment column, a spare parts column, an early warning column, a maintenance plan column, and an equipment history column, which are respectively used to record equipment basic information, spare parts information, early warning information, maintenance plan information, and equipment history information; The basic information of the equipment includes the equipment name, number, supplier, activation date, expiration date, user unit and location; The spare parts information includes the service time of the spare parts; The warning information includes equipment abnormality indicators, equipment number and equipment location; The maintenance plan information includes maintenance time, equipment number and corresponding maintenance plan; The equipment history information includes equipment number and historical maintenance records.

[0025] As mentioned above, an equipment column is set in the equipment management module to record basic equipment information. When the equipment is activated, the staff will enter the basic information of the equipment into the equipment column. The spare parts column mainly corresponds to the various spare parts contained in the equipment. The spare parts information recorded in the spare parts column is used to record the service time of each spare part, so as to assist the spare parts management module to adjust the spare parts inventory and prevent equipment shutdown caused by spare parts shortage, affecting production efficiency. In addition, the warning column is used to record the warning information of the equipment. When the operating data of the equipment is abnormal, the warning information is automatically uploaded to facilitate the equipment maintenance module to formulate emergency maintenance tasks according to the warning information; the equipment history information is mainly used to record the historical maintenance records of the equipment, and is also used to evaluate the health of the equipment, such as Figure 2 As shown, in addition, when there are too many devices, you can search according to the device number and device location to quickly find the location of the device.

[0026] In one embodiment, the warning information is obtained by the operation monitoring module based on the analysis of the data collected in real time. When the operation data of the equipment is abnormal, the equipment operation monitoring module outputs the corresponding warning information, and the warning information is uploaded to the equipment management module and stored in the warning information column; The equipment maintenance module is also used to formulate emergency maintenance tasks, which carry equipment location information, equipment abnormality indicator information and required spare parts information; when the equipment management module displays warning information, the equipment maintenance module automatically generates an emergency maintenance task.

[0027] In one embodiment of the present invention, Figure 4 As shown, when the operation data of the equipment collected by the operation monitoring module is abnormal, the corresponding warning information will be output. The warning information includes the equipment number, equipment location and required spare parts. The warning information is automatically stored in the warning information column for maintenance personnel to view. In addition, when the warning information column receives new warning information, the equipment maintenance module will automatically formulate an emergency maintenance task according to the warning information, and carry the equipment location information, equipment abnormality indicator information and required spare parts information in the emergency maintenance task; wherein, when the emergency maintenance task is generated, the spare parts management module will automatically update the spare parts inventory and record the spare parts outbound records based on the required spare parts information.

[0028] In one embodiment, the equipment history information is a historical maintenance record of the equipment, including a historical maintenance date and duration, a historical maintainer, and historical maintenance content.

[0029] In one embodiment, the equipment maintenance module further includes a calculation unit, which is used to calculate the maintenance metric value of the equipment according to the equipment operation data, by: Data collection, collecting equipment operating data, including temperature, pressure, and speed; Data preprocessing, including data cleaning, denoising and standardization, to obtain the actual value and worst value of the individual indicators; Single indicator evaluation score: According to the formula: in, It is the real-time value of a single indicator in the equipment operation data. It is the worst historical value of a single indicator in the equipment operation data. The best operating value of the equipment is set at the factory. The real-time value of the equipment's single index and the historical worst value of the single index are obtained by data preprocessing; Indicates the score of any indicator; Calculate maintenance metrics: in, Indicates the equipment maintenance metric value, Indicates the number of indicators used to evaluate the equipment maintenance metric. The weight corresponding to the evaluation score of the equipment operation index.

[0030] Based on the above, if Figure 5 As shown, the equipment maintenance module needs to customize a maintenance plan for the equipment based on the equipment's operating data. It is worth noting that when the equipment is just enabled, its maintenance plan will generally be based on the equipment's factory settings, that is, the preset maintenance cycle. After the equipment has been used for a period of time, due to replacement of spare parts or aging of the equipment body, the equipment's maintenance plan needs to be updated to prevent the equipment from being scrapped prematurely. Based on this, in one embodiment of the present invention, by acquiring the equipment's operating data and then preprocessing the data, the actual value and the worst value that characterize a single indicator are obtained. The actual value and the worst value are the actual performance of a single indicator in the equipment's operating data over a period of time. Based on the above actual value and the worst value, the evaluation score of the equipment's single indicator is calculated. According to the calculated scores of the multiple indicators, the overall score of the equipment is calculated by weighted summation, that is, a maintenance metric that reflects the health of the equipment's current operating status.

[0031] In one embodiment, the method for the equipment maintenance module to formulate a maintenance plan based on the equipment maintenance metric value is: Get maintenance metrics for your equipment and pre-set multiple maintenance plans, including: A first maintenance plan, wherein the first maintenance plan satisfies a maintenance metric value of the equipment ; A second maintenance plan, wherein the second maintenance plan satisfies the maintenance metric value of the equipment ; A third maintenance plan, wherein the third maintenance plan satisfies the maintenance metric value of the equipment ; in, They are the preset health level thresholds; A maintenance plan is formulated for the equipment according to the maintenance metric value of the equipment.

[0032] According to the maintenance metric value reflecting the health of the equipment obtained above, the aging degree distribution among multiple equipments can be reflected, and the maintenance plans of multiple equipments can be updated accordingly to achieve the effect of extending the life of the equipment and avoiding premature scrapping of the equipment. In one embodiment of the present invention, by obtaining the calculated maintenance metric value reflecting the health of the equipment and comparing it with the preset health threshold, the maintenance plan of the equipment can be divided into a first maintenance plan, a second maintenance plan and a third maintenance plan; It is worth noting that, assuming that the first maintenance plan is a monthly inspection, the second maintenance plan is a weekly inspection, and the third maintenance plan is a daily inspection, by setting maintenance plans with different gradients, it can adapt to equipment with different degrees of aging, thereby optimizing the maintenance management of the equipment throughout its life cycle.

[0033] In one embodiment, the data analysis module optimizes the use of the equipment based on the analysis of the equipment operation data, and also includes evaluating the health of the equipment and replacing the equipment in a timely manner when the health of the equipment is at a scrap level; The method for evaluating the health of the equipment comprises the following steps: Obtain maintenance metrics for equipment; Evaluate the health of the equipment based on its maintenance metrics: Set levels corresponding to different levels of device health, including: A health level that satisfies the maintenance metric ; Sub-health level, the sub-health level meets the maintenance metric value ; A pathological level, the pathological level satisfies the maintenance metric value ; A scrap level that satisfies the maintenance metric ; According to the calculated , assess the health of the equipment.

[0034] In addition to quantifying the health of the equipment, that is, the maintenance metric value calculated based on the equipment operation data, it is also necessary to rate the health of the equipment. The rating is used to evaluate the health of the equipment. When the health of the equipment is seriously pathological, the equipment needs to be preventively replaced to prevent the equipment from suddenly shutting down and causing losses. In one embodiment of the present invention, based on the calculated maintenance metric value of the equipment and the set health threshold, the health of the equipment can be rated, including a healthy level, a sub-healthy level, and a pathological level. In addition, there is also a scrap level. When the health of the equipment is rated as a scrap level, the equipment needs to be preventively replaced to prevent the equipment from suddenly shutting down during operation and causing losses.

[0035] In one embodiment, the device management module further includes a device attribute and status bar for displaying the operation attribute and status of the device, wherein the operation attribute and status include being in operation and scrapped; When the health status of the equipment is assessed as scrapped, the decision module outputs a scrapping instruction and uploads it to the equipment management module, and the operation attribute and status column updates the operation attribute and status of the equipment as scrapped; The decision module is also used to decide whether to replace the equipment when the equipment has an early warning message, the method is as follows: Obtain the health level of the equipment, including healthy level, sub-health level, pathological level and scrap level; When the equipment is at the sick level, the repair cost and replacement cost of the equipment are calculated; When the equipment replacement cost is greater than the repair cost, the equipment is not replaced; When the equipment replacement cost is less than or equal to the maintenance cost, output the equipment replacement instruction; The device management module receives a device replacement instruction and replaces the device; The equipment maintenance cost is obtained based on historical maintenance records, and the replacement cost is provided by the supplier.

[0036] Based on the above, in one embodiment of the present invention, Figure 3 As shown, the equipment is rated according to the calculated maintenance metric value of the equipment. If the health level of the equipment is evaluated as scrap level, the equipment attributes and status in the equipment management module need to be updated. Specifically, the equipment attributes and status bar are also set in the equipment management module. When any equipment is evaluated as scrap level, the decision module outputs a scrap instruction, and then the equipment management module receives the scrap instruction. According to the scrap instruction, the operating attributes and status of any equipment are updated to scrap. When the health level of the equipment is not evaluated as scrap level, the operating attributes and status of the equipment are running; It is worth noting that when a warning message appears on a device, the corresponding device may be at a healthy level, a sub-healthy level, or a pathological level. For pathological-level devices, the service time is generally longer, and the fault type corresponding to the warning message is relatively difficult to detect. Therefore, for pathological-level devices, when a warning message appears, it is necessary to consider whether the device can continue to be in service and whether the maintenance cost is too high. In one embodiment of the present invention, when a warning message appears on a device, the health of the device is first analyzed. For example, when the device is at a pathological level, it is necessary to analyze whether the maintenance cost of the device exceeds the replacement cost. When the maintenance cost of the device exceeds the replacement cost, an instruction to replace the device is output, otherwise the device is repaired. Among them, the maintenance cost includes labor-hour costs and spare parts replacement costs; the replacement cost is the value of the new equipment minus the residual value of the current equipment; in addition, the equipment maintenance time and equipment reliability must also be considered. In this embodiment, when the equipment is at the pathological level, the reliability is low; and for the equipment maintenance time, if the pathological level equipment is selected for maintenance, but the maintenance time is too long, then the equipment can be replaced; For example: suppose a water pump in a water plant breaks down, and the cost of replacing the spare parts for the water pump is 5,000 yuan, the repair time is 12 hours, and the labor cost is 1,000 yuan, then the repair cost of the water pump is 6,000 yuan, and it takes 12 hours; The cost of replacing the water pump is 4,000 yuan, and the labor cost is 500 yuan, and the replacement time is 3 hours; Assuming that the company loses 500 yuan every hour, the total cost of water pump maintenance is 12,000 yuan, while the total cost of water pump replacement is 6,000 yuan; Based on this, when a sick-level water pump displays a warning message, the decision module outputs an instruction to replace the equipment.

[0037] In one embodiment, the spare parts management module is also used to display inventory quantity and in-and-out records; the method for the spare parts management module to replenish spare parts inventory is: Obtain equipment operation data and historical maintenance records, and use machine learning algorithms to establish a spare parts demand forecasting model; Predict the demand for spare parts in the future based on the health of the equipment and historical maintenance records; Outputting forecast results, the forecast results including spare parts type, quantity and estimated demand time; Set safety stock levels based on forecast results and spare parts supply cycles; When the inventory quantity falls below the safety stock level, a replenishment notification is issued.

[0038] Based on the above, in order to realize the feedback and connection mechanism between maintenance, spare parts management and decision-making for scrapping in the whole life cycle management of equipment, special attention should be paid to the spare parts management of equipment. In one embodiment of the present invention, the spare parts management module can predict the demand for spare parts in the future period based on the equipment operation data and historical maintenance records to prevent spare parts shortages and equipment downtime. Through the equipment operation data and historical maintenance records, a spare parts demand prediction model is constructed using a machine learning algorithm. Through the spare parts demand prediction model, the demand for spare parts, the type of spare parts and the demand time can be predicted in stages. According to the prediction results output by the spare parts demand prediction model, the spare parts inventory is checked regularly to prevent the spare parts inventory from being lower than the demand for spare parts in the future period, causing spare parts shortages. It is worth noting that the significance of setting a safety stock level is that it takes time to purchase and deliver spare parts. If the spare parts inventory is tight, the spare parts cannot be replenished in a short time, causing the equipment to be down for too long. Therefore, the supply cycle of spare parts also needs to be considered. Based on the above, by setting the safety stock level, when the inventory quantity in the spare parts management module is lower than the safety stock level, a replenishment notification is output, and the safety stock level is used to respond to sudden demands and supply chain disruptions to prevent equipment downtime caused by spare parts shortages.

[0039] A method for managing the entire life cycle of assets and equipment includes the following steps: S1: Equipment information entry and update; S2: Monitor the operation of the equipment in real time based on the monitoring system and obtain the equipment operation data; S3: Customize maintenance plans based on equipment service time and maintenance cycle; S4: Based on the monitoring system, when warning information appears, emergency maintenance is carried out; S5: Analyze equipment maintenance metrics based on equipment operation data acquired through monitoring; S6: Update the equipment maintenance plan according to the maintenance metric value; S7: Rating the equipment based on its maintenance metrics, and replacing the equipment when it is at the scrap level.

[0040] Working principle: The spare parts management module is used to keep the spare parts inventory at a reasonable level at all times, avoiding production interruptions caused by spare parts shortages. Finally, the data analysis module is used to quantify the health of the equipment based on the equipment's operating data, and the equipment maintenance metric is obtained to reflect the health of the equipment. The decision-making module is then used to decide the scrapping time based on the equipment's health, so that the equipment can be replaced preventively. At the same time, the equipment's full life cycle management is optimized, and an additional feedback mechanism is added between equipment maintenance, emergency response, and scrapping decisions, which is conducive to preventive maintenance and preventive scrapping of equipment in advance, avoiding the impact on production efficiency due to equipment failure and scrapping that are not prevented in advance.

[0041] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. An asset equipment full life cycle management system, characterized in that: include: Equipment management module, used to input and update basic equipment information, spare parts information, warning information, maintenance plan information and equipment history information; Operation monitoring module, used to collect equipment operation data in real time based on sensors and monitoring systems; Equipment maintenance module, used to automatically generate maintenance plans based on equipment operating status data; Spare parts management module, used to predict spare parts demand based on equipment operating status and maintenance history, and replenish spare parts inventory in a timely manner; Data analysis module, used to optimize equipment usage and preventive maintenance plans based on analysis of equipment operation data; The decision-making module is used to evaluate the health of the equipment and decide whether to scrap the equipment.

2. The asset equipment full life cycle management system according to claim 1, characterized in that: The equipment management module includes an equipment column, a spare parts column, an early warning column, a maintenance plan column and an equipment history column, which are used to record equipment basic information, spare parts information, early warning information, maintenance plan information and equipment history information respectively; The basic information of the equipment includes the equipment name, number, supplier, activation date, expiration date, user unit and location; The spare parts information includes the service time of the spare parts; The warning information includes equipment abnormality indicators, equipment number and equipment location; The maintenance plan information includes maintenance time, equipment number and corresponding maintenance plan; The equipment history information includes equipment number and historical maintenance records.

3. The asset equipment full life cycle management system according to claim 2, characterized in that: The warning information is obtained by the operation monitoring module based on the analysis of the real-time collected data. When the operation data of the equipment is abnormal, the equipment operation monitoring module outputs the corresponding warning information, and the warning information is uploaded to the equipment management module and stored in the warning information column; The equipment maintenance module is also used to formulate emergency maintenance tasks, which carry equipment location information, equipment abnormality indicator information and required spare parts information; when the equipment management module displays warning information, the equipment maintenance module automatically generates an emergency maintenance task.

4. The asset equipment full life cycle management system according to claim 3 is characterized by: The equipment history information is a record of equipment historical maintenance, including the historical maintenance date and duration, historical maintainer, and historical maintenance content.

5. The asset equipment full life cycle management system according to claim 1, characterized in that: The equipment maintenance module also includes a calculation unit, which is used to calculate the maintenance metric value of the equipment according to the equipment operation data, in the following method: Data collection, collecting equipment operating data, including temperature, pressure, and speed; Data preprocessing, including data cleaning, denoising and standardization, to obtain the actual value and worst value of the individual indicators; Single indicator evaluation score: According to the formula: in, It is the real-time value of a single indicator in the equipment operation data. It is the worst historical value of a single indicator in the equipment operation data. The best operating value of the equipment is set at the factory. The real-time value of the equipment's single index and the historical worst value of the single index are obtained by data preprocessing; Indicates the score of any indicator; Calculate maintenance metrics: in, Indicates the equipment maintenance metric value, Indicates the number of indicators used to evaluate the equipment maintenance metric. The weight corresponding to the evaluation score of the equipment operation index.

6. The asset equipment full life cycle management system according to claim 1, characterized in that: The method for the equipment maintenance module to formulate a maintenance plan based on the equipment maintenance metric value is: Get maintenance metrics for your equipment and pre-set multiple maintenance plans, including: A first maintenance plan, wherein the first maintenance plan satisfies a maintenance metric value of the equipment ; A second maintenance plan, wherein the second maintenance plan satisfies the maintenance metric value of the equipment ; A third maintenance plan, wherein the third maintenance plan satisfies the maintenance metric value of the equipment ; in, They are the preset health level thresholds; A maintenance plan is formulated for the equipment according to the maintenance metric value of the equipment.

7. The asset equipment full life cycle management system according to claim 1, characterized in that: The data analysis module optimizes the use of the equipment based on the analysis of the equipment operation data, and also includes evaluating the health of the equipment and replacing the equipment in a timely manner when the health of the equipment is at the scrap level; The method for evaluating the health of the equipment comprises the following steps: Obtain maintenance metrics for equipment; Evaluate the health of the equipment based on its maintenance metrics: Set levels corresponding to different levels of device health, including: A health level that satisfies the maintenance metric ; Sub-health level, the sub-health level meets the maintenance metric value ; A pathological level, the pathological level satisfies the maintenance metric value ; A scrap level that satisfies the maintenance metric ; According to the calculated , assess the health of the equipment.

8. The asset equipment full life cycle management system according to claim 1, characterized in that: The equipment management module also includes an equipment attribute and status bar for displaying the operation attribute and status of the equipment, wherein the operation attribute and status include operation and scrap; When the health status of the equipment is assessed as scrapped, the decision module outputs a scrapping instruction and uploads it to the equipment management module, and the operation attribute and status column updates the operation attribute and status of the equipment as scrapped; The decision module is also used to decide whether to replace the equipment when the equipment has an early warning message, the method is as follows: Obtain the health level of the equipment, including healthy level, sub-health level, pathological level and scrap level; When the equipment is at the sick level, the repair cost and replacement cost of the equipment are calculated; When the equipment replacement cost is greater than the repair cost, the equipment is not replaced; When the equipment replacement cost is less than or equal to the maintenance cost, output the equipment replacement instruction; The device management module receives a device replacement instruction and replaces the device; The equipment maintenance cost is obtained based on historical maintenance records, and the replacement cost is provided by the supplier.

9. The asset equipment full life cycle management system according to claim 1, characterized in that: The spare parts management module is also used to display inventory quantity and in-and-out records; the method for the spare parts management module to replenish spare parts inventory is: Obtain equipment operation data and historical maintenance records, and use machine learning algorithms to establish a spare parts demand forecasting model; Predict the demand for spare parts in the future based on the health of the equipment and historical maintenance records; Outputting forecast results, the forecast results including spare parts type, quantity and estimated demand time; Set safety stock levels based on forecast results and spare parts supply cycles; When the inventory quantity falls below the safety stock level, a replenishment notification is issued.

10. A method for managing the entire life cycle of assets and equipment, characterized in that: The following steps are involved: S1: Equipment information entry and update; S2: Monitor the operation of the equipment in real time based on the monitoring system and obtain the equipment operation data; S3: Customize maintenance plans based on equipment service time and maintenance cycle; S4: Based on the monitoring system, when warning information appears, emergency maintenance is carried out; S5: Analyze equipment maintenance metrics based on equipment operation data acquired through monitoring; S6: Update the equipment maintenance plan according to the maintenance metric value; S7: Rating the equipment based on its maintenance metrics, and replacing the equipment when it is at the scrap level.

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