A monitoring and inspection method and system for intelligent maintenance

Abstract

The present application relates to a monitoring and inspection method and system for smart maintenance, which belongs to the field of equipment analysis; wherein, a monitoring and inspection method for smart maintenance includes obtaining the initial health of the equipment and the basic speed of equipment health loss; obtaining first equipment status data according to the initial health of the equipment calculation; obtaining first speed change data according to the basic speed of equipment health loss analysis; and determining the equipment inspection list according to the first equipment status data and the first speed change data. The present application is conducive to determining the inspection and maintenance timing of the equipment and is conducive to ensuring the normal operation of the equipment.

Description

Technical Field

[0001] The present application relates to the technical field of smart maintenance, and in particular to a monitoring and inspection method and system for smart maintenance. Background Art

[0002] Smart Maintenance is the use of advanced technologies such as the Internet of Things (IoT), big data, artificial intelligence (AI) and cloud computing to perform intelligent preventive maintenance and management of equipment and facilities. Generally speaking, in order to ensure the normal operation of equipment, it is necessary to conduct inspection and maintenance of the equipment. However, it is difficult to determine the timing of equipment inspection and maintenance. Too high inspection and maintenance frequency can easily lead to high-cost ineffective inspections, and too low inspection and maintenance timing can easily affect the reliability of equipment operation. Summary of the invention

[0003] The present application provides a monitoring and inspection method and system for smart maintenance, which is conducive to intelligently determining the timing of equipment inspection and maintenance, and is conducive to ensuring the reliability of equipment operation.

[0004] The first purpose of this application is to provide a monitoring and inspection method for intelligent maintenance.

[0005] The above-mentioned application objective 1 of the present application is achieved through the following technical solutions:

[0006] A monitoring and inspection method for intelligent maintenance, comprising:

[0007] Get the initial health of the device and the basic speed of device health loss;

[0008] Calculate and obtain first device status data according to the initial health of the device;

[0009] Obtaining first speed change data according to the basic speed analysis of the equipment health loss;

[0010] An equipment inspection list is determined according to the first equipment status data and the first speed change data.

[0011] By adopting the above technical solution, the initial health of the equipment is first obtained, and then the current health of the equipment, that is, the first equipment status data, is calculated based on the initial health of the equipment; then, based on the obtained basic speed of equipment health loss, the first speed change data is analyzed and determined, and the first speed change data represents the rate of change of the health of the equipment; finally, the health retention time of the equipment is determined based on the first equipment status data and the second speed change data, and the processing strategy of the equipment is determined based on the health retention time; in this way, the health of the equipment and the rate of change of the health are analyzed, and the time that the equipment can remain healthy is predicted, so as to determine whether the equipment needs human intervention, that is, to adopt an inspection and maintenance strategy for the equipment; in this way, the operating status of the equipment is analyzed, and the possibility of risks to the equipment is analyzed, so as to intelligently determine the inspection and maintenance time of the equipment, which is conducive to ensuring the normal operation of the equipment.

[0012] In a preferred example, the present application may be further configured as follows: the first device status data calculated according to the initial health of the device includes:

[0013] Obtain equipment usage time and equipment maintenance times;

[0014] Calculate the first health impact parameter, , where is the first health impact parameter, t is the pre-acquired device usage time, is the preset unit time health influence coefficient;

[0015] Calculate the second health impact parameter, , where is the second health impact parameter, c is the number of equipment maintenance times acquired in advance, The health impact coefficient of the preset unit maintenance times;

[0016] calculating first device status data, , where is the first device status data, The initial health of the device.

[0017] In a preferred example, the present application may be further configured as follows: the first speed change data obtained by analyzing the basic speed of the equipment health loss includes:

[0018] Acquire equipment noise data, equipment load data, and a first speed influencing parameter; wherein the first speed influencing parameter is a parameter that affects the equipment health loss speed after the equipment adopts a pre-acquired maintenance strategy;

[0019] Determine a first speed calculation parameter according to the equipment noise data, and determine a second speed calculation parameter according to the equipment load data;

[0020] Calculate the first speed change data, , where is the first speed change data, Loss of basic speed for equipment health, is the first speed calculation parameter, is the second speed calculation parameter, and M is the pre-acquired equipment health loss speed variation coefficient.

[0021] In a preferred example, the present application may be further configured such that determining the equipment inspection list according to the first equipment status data and the first speed change data includes:

[0022] Obtaining an overhaul and maintenance cost, where the overhaul and maintenance cost is quantitative cost data corresponding to each overhaul and maintenance strategy;

[0023] For each maintenance strategy for each equipment,

[0024] Calculate the first quantitative time data, which is the accurate time for the equipment to maintain health when the equipment does not adopt the maintenance strategy. , where is the first quantized time data, is first device status data;

[0025] Calculate the second quantitative time data, which is the accurate time for the equipment to maintain health under the equipment maintenance strategy. , where is the second quantized time data;

[0026] Computational strategy analysis data, , where S is the strategic analysis data, Z is the maintenance cost, is the influence coefficient of pre-acquisition, b is the adjustment coefficient of pre-acquisition;

[0027] The equipment inspection list is determined based on the strategy analysis data.

[0028] In a preferred example, the present application may be further configured such that determining the equipment inspection list according to the policy analysis data includes:

[0029] Obtain prediction strategy analysis thresholds, first quantification time analysis data, and equipment health loss basic speed analysis data;

[0030] Calculate equipment inspection and maintenance strategy selection data based on the strategy analysis data and the prediction strategy analysis threshold;

[0031] An equipment inspection list is determined based on the equipment inspection and maintenance strategy selection data, the first quantitative time analysis data, and the equipment health loss basic speed analysis data.

[0032] In a preferred example, the present application may be further configured as follows: the method for obtaining the first quantitative time analysis data includes, after calculating and obtaining the first quantitative time data, performing a warning analysis on the first quantitative time data:

[0033] Calculate the time warning value, , where is the time warning value, is the first quantized time data, is the upper limit of the preset time range, The lower limit of the preset time range;

[0034] When the time warning value When it is zero, a forced alarm message is output; the forced alarm message is that the equipment needs to adopt a maintenance strategy;

[0035] When the time warning value for When the device is in operation, the safety information is output; the safety information is that the device does not need to adopt an inspection and maintenance strategy.

[0036] In a preferred example, the present application may be further configured as follows: the method for obtaining the basic speed analysis data of the equipment health loss includes, after obtaining the basic speed of the equipment health loss, performing a warning analysis on the basic speed of the equipment health loss:

[0037] Calculate the speed warning value, , where is the speed warning value, Loss of basic speed for equipment health, is the upper limit of the preset speed range, The lower limit of the preset speed range;

[0038] When the speed warning value When it is zero, a forced alarm message is output; the forced alarm message is that the equipment needs to adopt a maintenance strategy;

[0039] When the speed warning value for When the device is in operation, a safety message is output; the safety message is that the device does not need to adopt a maintenance strategy;

[0040] When the speed warning value for When the device is in operation, special information is output; the special information is that the device will not adopt any maintenance strategy.

[0041] The second purpose of this application is to provide a monitoring and inspection system for intelligent maintenance.

[0042] The second application objective of the present application is achieved through the following technical solutions:

[0043] A monitoring and inspection system for intelligent maintenance, comprising:

[0044] The acquisition module is used to obtain the initial health of the device and the basic speed of the device health loss;

[0045] A calculation module, configured to calculate first device status data according to the initial health of the device;

[0046] An analysis module, configured to obtain first speed change data according to the basic speed analysis of the equipment health loss;

[0047] A determination module is used to determine an equipment inspection list according to the first equipment status data and the first speed change data.

[0048] In a preferred example, the present application may be further configured as follows: the calculation module is further configured as follows: the first device status data is obtained by calculating according to the initial health of the device, including:

[0049] Obtain equipment usage time and equipment maintenance times;

[0050] Calculate the first health impact parameter, , where is the first health impact parameter, t is the pre-acquired device usage time, is the preset unit time health influence coefficient;

[0051] Calculate the second health impact parameter, , where is the second health impact parameter, c is the number of equipment maintenance times acquired in advance, The health impact coefficient of the preset unit maintenance times;

[0052] calculating first device status data, , where is the first device status data, The initial health of the device.

[0053] In a preferred example, the present application may be further configured as follows: the analysis module is further configured as follows: the first speed change data obtained by analyzing the basic speed of the equipment health loss includes:

[0054] Acquire equipment noise data, equipment load data, and a first speed influencing parameter; wherein the first speed influencing parameter is a parameter that affects the equipment health loss speed after the equipment adopts a pre-acquired maintenance strategy;

[0055] Determine a first speed calculation parameter according to the equipment noise data, and determine a second speed calculation parameter according to the equipment load data;

[0056] Calculate the first speed change data, , where is the first speed change data, Loss of basic speed for equipment health, is the first speed calculation parameter, is the second speed calculation parameter, and M is the pre-acquired equipment health loss speed variation coefficient.

[0057] By adopting the above technical solution, the analysis of the equipment operation status is realized. By analyzing the equipment health and the rate of change of the equipment health, the time for which the equipment can remain healthy is determined, and the risk of equipment is predicted. In this way, the accuracy of the analysis of the equipment operation status is improved, and before the equipment is uniformly inspected and maintained, the equipment status is analyzed to screen out the equipment that needs inspection and maintenance, that is, the inspection and maintenance timing of the equipment can be intelligently determined, which is conducive to ensuring the reliable operation of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, wherein:

[0059] Figure 1 It is a flow chart of a monitoring and inspection method for intelligent maintenance in an embodiment of the present application.

[0060] Figure 2 It is a structural diagram of a monitoring and inspection system for intelligent maintenance in an embodiment of the present application. DETAILED DESCRIPTION

[0061] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make modifications to the present embodiment without any creative contribution as needed. However, as long as it is within the scope of the claims of the present application, it shall be protected by the patent law.

[0062] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0063] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0064] The present application provides a monitoring and inspection method for intelligent maintenance, and the main process of the method is described as follows.

[0065] like Figure 1 As shown:

[0066] Step S101: Obtain the initial health of the device and the basic speed of device health loss.

[0067] The equipment referred to in the embodiments of the present application is equipment located in a hospital, and the hospital will inspect and repair these equipment at regular intervals; the usual inspection and maintenance method is to check each device, and if a problem is found in the equipment, it will be repaired; the initial health of the equipment is the health status of the equipment when it has just been produced and has no signs of use.

[0068] In the embodiment of the present application, the basic speed of equipment health loss refers to the rate of change of the health loss of the equipment at the current moment; specifically, the historical operating status data change curve of the equipment in a fixed time period before the current moment (including the current moment) is obtained; the change curve is matched with the historical standard change curve for similarity, and the change curve at each moment in the fixed time period is processed by similarity matching to obtain the similarity change rate; the similarity change rate is the initial speed of equipment health loss; it can be understood that by analyzing the operating data of the equipment in a recent fixed time period, the similarity between the data at each moment and the historical standard data is calculated. Under the premise that the equipment is used under the conditions of increasing time, frequency and other conditions, its own working life is bound to decrease; the life decrease rate of the equipment can be calculated by the above method, which is the equipment health loss rate; the calculation of the equipment in the embodiment of the present application is based on the equipment at the current moment to start the calculation, analyze the status of the equipment at the current moment to determine whether it needs to be repaired in the next hospital fixed maintenance work, and therefore the life decrease rate of the equipment at the current moment is set as the basic speed of equipment health loss.

[0069] Step S102: Calculate and obtain first device status data according to the initial health of the device.

[0070] Specifically, calculating the first device status data according to the initial health of the device includes obtaining the device usage time and the number of times the device is repaired;

[0071] Calculate the first health impact parameter, , where is the first health impact parameter, t is the pre-acquired device usage time, is the preset unit time health influence coefficient;

[0072] Calculate the second health impact parameter, , where is the second health impact parameter, c is the number of equipment maintenance times acquired in advance, The health impact coefficient of the preset unit maintenance times;

[0073] calculating first device status data, , where is the first device status data, The initial health of the device.

[0074] The first device status data here represents the health of the device at the current moment. According to the experience of those skilled in the art, the health of the device will be affected by the device usage time and the number of times the device is repaired; that is, the longer the device is used and the more times it is repaired, the lower the health of the device will be. Based on historical data experience, it can be known that the impact of device usage time on device health is fixed, so the time impact data corresponding to the current stage can be directly deducted from the initial health; and the number of times the device is repaired and the health of the device are inversely proportional as a whole, that is, the more times the repair is done, the lower the health; the device usage time here can be calculated based on the time interval between the initial time the device is put into use and the current time; and the number of times the device is repaired can be calculated based on the device's The maintenance record query obtains that the above data can be pre-acquired or manually stored in the server (executing entity); it can be understood that for the equipment maintenance times mentioned in the embodiment of the present application, here it can be the number of equipment maintenance records, and if a component of the equipment is replaced, the corresponding record of maintenance times is reset, and the number of inspections is recorded again; on this basis, the first parameter and the second parameter affecting the health of the equipment are calculated based on the equipment usage time and the number of equipment maintenance times respectively; and then according to the preset calculation rules, the first equipment status data is calculated, that is, the health data of the equipment at the current moment; it can be understood that the above-mentioned improved unit time health influence coefficient and unit maintenance number health influence coefficient can be obtained through historical data analysis and training of the equipment.

[0075] Step S103: Obtain first speed change data according to the basic speed analysis of the equipment health loss.

[0076] Specifically, obtaining the first speed change data according to the basic speed analysis of the equipment health loss includes obtaining equipment noise data, equipment load data and a first speed influencing parameter; wherein the first speed influencing parameter is a parameter that affects the equipment health loss speed after the equipment adopts a pre-acquired maintenance strategy;

[0077] Determine a first speed calculation parameter according to the equipment noise data, and determine a second speed calculation parameter according to the equipment load data;

[0078] Calculate the first speed change data, , where is the first speed change data, Loss of basic speed for equipment health, is the first speed calculation parameter, is the second speed calculation parameter, and M is the pre-acquired equipment health loss speed variation coefficient.

[0079] It can be understood that after obtaining the initial speed of equipment health loss determined by analyzing the equipment's operating data, it is necessary to determine the first speed calculation parameter and the second speed calculation parameter based on the noise and load change trends of the equipment; the first speed calculation parameter here is obtained based on the historical noise data of the equipment, and the equipment noise data refers to the frequency of abnormal sounds generated by the equipment itself, and the abnormal sound here refers to the sound emitted by the equipment with a decibel exceeding the preset decibel threshold; combined with data analysis experience, the higher the frequency of abnormal sounds appearing in the equipment, the smaller the corresponding first speed calculation parameter, which ultimately leads to a loss of speed. The faster the second speed calculation parameter is, the faster the second speed calculation parameter is. The second speed calculation parameter is based on the historical load data of the equipment, and the equipment load data refers to the load that exceeds the load threshold when the equipment is overloaded. Combined with data analysis experience, the higher the overload of the equipment, the smaller the corresponding second speed calculation parameter is, which ultimately leads to a loss of speed. The sooner.

[0080] M is the influence coefficient on the health loss rate of the equipment after the equipment adopts the pre-acquired maintenance strategy, and each maintenance strategy is preset with a corresponding influence coefficient; the influence coefficient can be obtained based on historical data analysis training; the detection and maintenance strategy influence data set determined based on historical data analysis, the data set contains multiple maintenance strategies, the influence coefficient corresponding to each maintenance strategy, and the corresponding correlation between the two; it can be understood that the specific calculation process of M in the embodiment of the present application includes obtaining the health loss rate data of the equipment before and after the strategy is adopted in the equipment historical data; based on the health loss rate data, the change in the speed of the equipment before and after the strategy is adopted is determined, so as to determine the influence coefficient brought by the equipment using the strategy; the health loss rate data of the equipment before and after each strategy is adopted in the equipment historical data are calculated in the above manner, and the influence coefficient corresponding to each maintenance strategy can be obtained; it can be understood that after the equipment completes the maintenance and repair, some problems existing in the equipment are repaired, and the working status and efficiency of the equipment are improved. Therefore, the adoption of the maintenance strategy for the equipment brings a beneficial effect on the health of the equipment. Combined with experience, after the equipment adopts the maintenance strategy, it has a beneficial effect on the equipment, so that the loss rate Slow down; here M is less than 1, and the general value is 0.25-0.75.

[0081] Step S104: determining an equipment inspection list according to the first equipment status data and the first speed change data.

[0082] Specifically, determining the equipment inspection list according to the first equipment status data and the first speed change data includes:

[0083] Obtaining an overhaul and maintenance cost, where the overhaul and maintenance cost is quantitative cost data corresponding to each overhaul and maintenance strategy;

[0084] For each maintenance strategy for each equipment,

[0085] Calculate the first quantitative time data, which is the accurate time for the equipment to maintain health when the equipment does not adopt the maintenance strategy. , where is the first quantized time data, is first device status data;

[0086] Calculate the second quantitative time data, which is the accurate time for the equipment to maintain health under the equipment maintenance strategy. , where is the second quantized time data;

[0087] Computational strategy analysis data, , where S is the strategic analysis data, Z is the maintenance cost, is the influence coefficient of pre-acquisition, b is the adjustment coefficient of pre-acquisition;

[0088] The equipment inspection list is determined based on the strategy analysis data.

[0089] Among them, determining the equipment inspection list according to the strategy analysis data includes obtaining the predicted strategy analysis threshold, the first quantitative time analysis data and the basic speed analysis data of equipment health loss; calculating the equipment inspection and maintenance strategy selection data according to the strategy analysis data and the predicted strategy analysis threshold; and determining the equipment inspection list according to the equipment inspection and maintenance strategy selection data, the first quantitative time analysis data and the basic speed analysis data of equipment health loss.

[0090] It is understandable that for the overhaul and maintenance strategy of the equipment, it may be to replace parts or to update the system. Different overhaul and maintenance strategies consume different resources, and the overhaul and maintenance costs corresponding to each overhaul and maintenance strategy are also different; therefore, after determining the current health of the equipment, the initial health loss rate and the speed change data affected by the adoption of the strategy, the health retention time of the equipment can be calculated using the preset calculation rules; after obtaining the health and the rate of decline of the health, the decline time can be obtained by dividing the health by the decline rate; and the decline time represents the health retention time of the equipment.

[0091] The benefit time brought by adopting the strategy can be obtained by subtracting the health maintenance time of the equipment without adopting the strategy from the health maintenance time of the equipment with adopted the strategy. The strategy analysis data can be obtained by dividing the benefit time by the corresponding strategy maintenance cost. This data represents the health benefit of the equipment brought by adopting the strategy, that is, the cost-effectiveness information of different maintenance strategies compared with the health of the equipment. It can be understood that the pre-acquired influence coefficient and adjustment coefficient in the formula are obtained based on the empirical analysis of historical data, and are used to calibrate the calculation process of the strategy analysis data to improve the accuracy of the strategy analysis data.

[0092] By comparing the strategy analysis data representing the cost-effectiveness with a preset threshold, if it is less than the threshold, it means that the strategy adopted for the equipment is low in cost-effectiveness and is abandoned; if it is greater than or equal to the threshold, it means that the strategy can be adopted; then, the equipment inspection list can be determined by combining the first quantitative time analysis data and the basic speed analysis data of equipment health loss; the equipment names included in the equipment inspection list are the equipment that needs to be inspected and maintained next time.

[0093] It should be noted that the method for obtaining the first quantitative time analysis data includes, after calculating the first quantitative time data, performing a warning analysis on the first quantitative time data:

[0094] Calculate the time warning value, , where is the time warning value, is the first quantized time data, is the upper limit of the preset time range, The lower limit of the preset time range;

[0095] When the time warning value When it is zero, a forced alarm message is output; the forced alarm message is that the equipment needs to adopt a maintenance strategy;

[0096] When the time warning value for When the device is in operation, the safety information is output; the safety information is that the device does not need to adopt an inspection and maintenance strategy.

[0097] It can be understood that the first quantitative time data represents the use time of the equipment without taking the maintenance strategy, and if the time is less than the threshold, it means that the equipment must take the maintenance strategy and perform inspection and maintenance. for In this case, the device does not need to adopt the overhaul and maintenance strategy, which is limited to the analysis of this step and will not affect the subsequent calculation process. That is, in this case, the device can adopt the overhaul and maintenance strategy or not.

[0098] It should be noted that the method for obtaining the basic speed analysis data of equipment health loss includes, after obtaining the basic speed of equipment health loss, performing a warning analysis on the basic speed of equipment health loss:

[0099] Calculate the speed warning value, , where is the speed warning value, Loss of basic speed for equipment health, is the upper limit of the preset speed range, The lower limit of the preset speed range;

[0100] When the speed warning value When it is zero, a forced alarm message is output; the forced alarm message is that the equipment needs to adopt a maintenance strategy;

[0101] When the speed warning value for When the device is in operation, a safety message is output; the safety message is that the device does not need to adopt a maintenance strategy;

[0102] When the speed warning value for When the device is in operation, special information is output; the special information is that the device will not adopt any maintenance strategy.

[0103] It can be understood that, equivalent to the first quantitative time data mentioned above, if the basic speed of equipment health loss has exceeded the preset speed threshold, it means that without human intervention, the equipment will soon fail, so human intervention is required, that is, a maintenance strategy is adopted for the equipment; similarly, the speed warning value here is for In this case, the device does not need to adopt the overhaul and maintenance strategy, which is limited to the analysis of this step and will not affect the subsequent calculation process. That is, in this case, the device can adopt the overhaul and maintenance strategy or not. It should be noted that for the speed warning value, if it is greater than 1, it means that the basic speed of equipment health loss is less than the preset minimum speed threshold, which means that the equipment health loss speed is very slow and no overhaul and maintenance strategy is required for the equipment. The basic speed of equipment health loss describes the rate at which the equipment develops from the current state to the failure. The smaller the equipment health loss speed, the lower the rate at which the equipment deteriorates and the longer it stays healthy. In this special case, there is no need to process the equipment through human intervention, and its own state is good enough. Therefore, when the speed warning value for When the device is in a state of being unable to use any maintenance strategy, the device is marked as being unable to use any maintenance strategy.

[0104] To sum up, the method disclosed in the embodiment of the present application can analyze the current status of the equipment, calculate the health of the equipment at the current moment and the speed of health decline, and then take human intervention, that is, the factor of equipment maintenance, into account, and analyze the benefits brought by the strategy adopted by the equipment after the strategy is adopted, that is, analyze the cost-effectiveness of the strategy, so as to determine the most cost-effective strategy that the equipment should adopt; in this way, the accuracy of the analysis of the equipment operation status is improved, and the equipment that needs to be repaired can be screened in advance, and the timing of equipment inspection and maintenance can be intelligently determined, which is conducive to ensuring the reliable operation of the equipment.

[0105] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the embodiments of the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required for the present application.

[0106] This application also provides a smart maintenance monitoring and inspection system, such as Figure 2As shown, a monitoring and inspection system for intelligent maintenance includes an acquisition module 210, which is used to obtain the initial health of the equipment and the basic speed of equipment health loss; a calculation module 220, which is used to obtain the first equipment status data according to the initial health of the equipment; an analysis module 230, which is used to obtain the first speed change data according to the basic speed of equipment health loss analysis; and a determination module 240, which is used to determine the equipment inspection list according to the first equipment status data and the first speed change data.

[0107] The calculation module 220 is further configured to calculate the first device status data according to the initial health of the device, including:

[0108] Obtain equipment usage time and equipment maintenance times;

[0109] Calculate the first health impact parameter, , where is the first health impact parameter, t is the pre-acquired device usage time, is the preset unit time health influence coefficient;

[0110] Calculate the second health impact parameter, , where is the second health impact parameter, c is the number of equipment maintenance times acquired in advance, The health impact coefficient of the preset unit maintenance times;

[0111] calculating first device status data, , where is the first device status data, The initial health of the device.

[0112] The analysis module 230 is further configured to obtain the first speed change data according to the equipment health loss basic speed analysis, including:

[0113] Acquire equipment noise data, equipment load data, and a first speed influencing parameter; wherein the first speed influencing parameter is a parameter that affects the equipment health loss speed after the equipment adopts a pre-acquired maintenance strategy;

[0114] Determine a first speed calculation parameter according to the equipment noise data, and determine a second speed calculation parameter according to the equipment load data;

[0115] Calculate the first speed change data, , where is the first speed change data, Loss of basic speed for equipment health, is the first speed calculation parameter, is the second speed calculation parameter, and M is the pre-acquired equipment health loss speed variation coefficient.

[0116] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of disclosure involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the aforementioned disclosed concept. For example, the above features are replaced with the technical features with similar functions disclosed in the present application (but not limited to) by each other to form a technical solution.

Claims

1. A monitoring and inspection method for intelligent maintenance, characterized in that: include: Get the initial health of the device and the basic speed of device health loss; Calculate and obtain first device status data according to the initial health of the device; Obtaining first speed change data according to the basic speed analysis of the equipment health loss; Determine an equipment inspection list according to the first equipment status data and the first speed change data; The first device status data is obtained by calculating according to the initial health of the device, comprising: Obtain equipment usage time and equipment maintenance times; Calculate the first health impact parameter, , where is the first health impact parameter, t is the pre-acquired device usage time, is the preset unit time health influence coefficient; Calculate the second health impact parameter, , where is the second health impact parameter, c is the number of equipment maintenance times acquired in advance, The health impact coefficient of the preset unit maintenance times; calculating first device status data, , where is the first device status data, The initial health of the device; The first speed change data obtained by analyzing the basic speed of the equipment health loss includes: Acquire equipment noise data, equipment load data and a first speed influencing parameter; wherein the first speed influencing parameter is a parameter that affects the equipment health loss speed after the equipment adopts a pre-acquired maintenance strategy; Determine a first speed calculation parameter according to the equipment noise data, and determine a second speed calculation parameter according to the equipment load data; Calculate the first speed change data, , where is the first speed change data, Loss of basic speed for equipment health, is the first speed calculation parameter, is the second speed calculation parameter, M is the pre-acquired equipment health loss speed variation coefficient; Determining the equipment inspection list according to the first equipment status data and the first speed change data includes: Obtaining an overhaul and maintenance cost, where the overhaul and maintenance cost is quantitative cost data corresponding to each overhaul and maintenance strategy; For each maintenance strategy for each equipment, Calculate the first quantitative time data, which is the accurate time for the equipment to maintain health when the equipment does not adopt the maintenance strategy. , where is the first quantized time data, is first device status data; Calculate the second quantitative time data, which is the accurate time for the equipment to maintain health under the equipment maintenance strategy. In the formula, is the second quantized time data; Computational strategy analysis data, In the formula, S is the strategic analysis data, Z is the maintenance cost, is the influence coefficient of pre-acquisition, b is the adjustment coefficient of pre-acquisition; The equipment inspection list is determined based on the strategy analysis data.

2. The monitoring and inspection method for intelligent maintenance according to claim 1 is characterized in that: Determining the equipment inspection list according to the strategy analysis data includes: Obtain prediction strategy analysis thresholds, first quantification time analysis data, and equipment health loss basic speed analysis data; Calculate equipment inspection and maintenance strategy selection data based on the strategy analysis data and the prediction strategy analysis threshold; An equipment inspection list is determined based on the equipment inspection and maintenance strategy selection data, the first quantitative time analysis data, and the equipment health loss basic speed analysis data.

3. The monitoring and inspection method for intelligent maintenance according to claim 2 is characterized in that: The method for obtaining the first quantitative time analysis data includes, after calculating and obtaining the first quantitative time data, performing a warning analysis on the first quantitative time data: Calculate the time warning value, , where is the time warning value, is the first quantized time data, is the upper limit of the preset time range, The lower limit of the preset time range; When the time warning value When it is zero, a forced alarm message is output; the forced alarm message is that the equipment needs to adopt a maintenance strategy; When the time warning value for When the device is in operation, the safety information is output; the safety information is that the device does not need to adopt an inspection and maintenance strategy.

4. The monitoring and inspection method for intelligent maintenance according to claim 2 is characterized in that: The method for acquiring the basic speed analysis data of the equipment health loss includes, after obtaining the basic speed of the equipment health loss, performing a warning analysis on the basic speed of the equipment health loss: Calculate the speed warning value, , where is the speed warning value, Loss of basic speed for equipment health, is the upper limit of the preset speed range, The lower limit of the preset speed range; When the speed warning value When it is zero, a forced alarm message is output; the forced alarm message is that the equipment needs to adopt a maintenance strategy; When the speed warning value for When the security information is output; The safety information is that the equipment does not need to adopt an inspection and maintenance strategy; When the speed warning value for When the device is in operation, special information is output; the special information is that the device will not adopt any maintenance strategy.

5. A monitoring and inspection system for intelligent maintenance, characterized in that: include: An acquisition module (210) is used to acquire the initial health of the device and the basic speed of health loss of the device; A calculation module (220), configured to calculate first device status data according to the initial health of the device; An analysis module (230) is used to obtain first speed change data according to the basic speed analysis of the equipment health loss; A determination module (240), configured to determine an equipment inspection list according to the first equipment status data and the first speed change data; The calculation module (220) is further configured such that the step of calculating the first device status data according to the initial health of the device includes: Obtain equipment usage time and equipment maintenance times; Calculate the first health impact parameter, , where is the first health impact parameter, t is the pre-acquired device usage time, is the preset unit time health influence coefficient; Calculate the second health impact parameter, , where is the second health impact parameter, c is the number of equipment maintenance times acquired in advance, The health impact coefficient of the preset unit maintenance times; calculating first device status data, , where is the first device status data, The initial health of the device; The analysis module (230) is further configured to obtain first speed change data according to the basic speed analysis of the equipment health loss, including: Acquire equipment noise data, equipment load data and a first speed influencing parameter; wherein the first speed influencing parameter is a parameter that affects the equipment health loss speed after the equipment adopts a pre-acquired maintenance strategy; Determine a first speed calculation parameter according to the equipment noise data, and determine a second speed calculation parameter according to the equipment load data; Calculate the first speed change data, , where is the first speed change data, Loss of basic speed for equipment health, is the first speed calculation parameter, is the second speed calculation parameter, M is the pre-acquired equipment health loss speed variation coefficient; The determination module (240) is further configured to determine the equipment inspection list according to the first equipment status data and the first speed change data, including: Obtaining an overhaul and maintenance cost, where the overhaul and maintenance cost is quantitative cost data corresponding to each overhaul and maintenance strategy; For each maintenance strategy for each equipment, Calculate the first quantitative time data, which is the accurate time for the equipment to maintain health when the equipment does not adopt the maintenance strategy. , where is the first quantized time data, is first device status data; Calculate the second quantitative time data, which is the accurate time for the equipment to maintain health under the equipment maintenance strategy. , where is the second quantized time data; Computational strategy analysis data, , where S is the strategic analysis data, Z is the maintenance cost, is the influence coefficient of pre-acquisition, b is the adjustment coefficient of pre-acquisition; The equipment inspection list is determined based on the strategy analysis data.

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