Special equipment safety monitoring management method and system

Abstract

The invention discloses a special equipment safety monitoring management method and a special equipment safety monitoring management system, and relates to the technical field of special equipment safety. Determining the fault value of the fault severity according to the loss value of the economic loss caused by the fault object and the maintenance duration; the method comprises the following steps: marking a dangerous fault object, a high fault object, a middle fault object and a common object on a fault object according to a fault value, then determining a stage I, a stage II and a stage III for overhauling the fault object according to related analysis, and endowing different stages of different objects with different overhauling frequencies. The inspection period of the special equipment can be determined more reliably, and disordered determination of the inspection frequency is avoided.

Description

Technical Field

[0001] The present invention belongs to the technical field of special equipment safety, and specifically relates to a special equipment safety monitoring and management method and system. Background Art

[0002] A patent with the publication number CN115861963A discloses a method and device for safety detection of elevator steel ropes based on machine vision, which relates to the technical field of elevator safety. Among them, the method includes: according to the steel rope detection instruction, adjusting the light source parameters and controlling the elevator to operate according to the detection parameters; generating acquisition adjustment parameters according to the initial acquisition image evaluation result of the steel rope to be detected in the elevator, controlling the image acquisition device to perform image acquisition of the steel rope to be detected, obtaining the defect feature evaluation result, and obtaining the stress uniformity evaluation result based on the stress information acquisition; obtaining the safety detection result of the steel rope to be detected according to the defect feature evaluation result and the stress uniformity evaluation result. It solves the technical problem that the accuracy of the safety detection result of the elevator steel rope in the prior art is low and cannot truly reflect the actual damage condition of the current elevator steel rope during operation. It achieves the technical effect that the detection result truly reflects the actual operation loss condition of the equipment and is convenient for the management personnel to timely master the elevator safety condition.

[0003] However, for special equipment, first of all, it needs to be fixed for maintenance. However, due to the special use environment of special equipment, it often causes great damage to some parts. Then, how to carry out appropriate periodic maintenance for these parts is a difficult problem. If the period is too large, problems cannot be discovered in time. If the period is too small, the labor cost and other economic costs are relatively high. Then, how to set the period according to the specific situation is a difficult problem. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art;

[0005] For this reason, the present invention proposes a special equipment safety monitoring and management method, which specifically includes the following steps:

[0006] Obtain from the fault record the fault objects representing all the parts that cause the equipment to malfunction, and determine the fault value of the fault severity according to the loss value of the economic loss caused by the fault objects and the repair duration;

[0007] Label the fault objects with the labels of critical fault objects, high fault objects, medium fault objects and ordinary objects according to the fault value, and then determine the usage duration according to the several usage situations of the fault objects with different labels. According to the dispersion degree of the usage duration and its belonging label, determine the first-stage duration and the second-stage duration, so as to determine the first stage, the second stage and the third stage of the maintenance of the fault objects that have just been put into use at 0.85 times of the first-stage duration and 0.9 times of the second-stage duration.

[0008] Furthermore, in stage one, the preset basic duration is used as the interval duration, in stage two, half of the basic duration is used as the interval duration, and in stage three, 0.35 times of the basic duration is used as the interval duration to periodically inspect and maintain high-fault objects, medium-fault objects, ordinary objects, and critical-fault objects.

[0009] Furthermore, the fault value is obtained by adding up the loss value and the repair time after assigning different weights, and the weight is a preset value.

[0010] Furthermore, the way to apply labels to faulty objects is as follows:

[0011] The fault values ​​are sorted from large to small, and the first 30%, the middle 50%, and the remaining 20% ​​are labeled as high-fault objects, medium-fault objects, and normal objects respectively.

[0012] Furthermore, when the fault record caused by any fault object causes casualties, the corresponding fault object will be marked as a dangerous object.

[0013] Furthermore, when the faulty object is a dangerous object, the usage time of several dangerous objects of the same model in the same environment is obtained, where the same environment refers to the same usage scenario on the corresponding feature device, and the usage time refers to the length of time from the beginning of use of the corresponding dangerous object to the occurrence of the fault;

[0014] Get all the usage durations of the selected dangerous objects, mark the minimum value as the first duration, and the maximum value as the second duration; perform the same process on all other dangerous objects to get the first duration and second duration of all dangerous objects.

[0015] Furthermore, when the fault object is a high fault object, several usage durations of the high fault object are obtained, Ci, i=1, ..., n, and then the mean value P of Ci is obtained, and the discrete value W of Ci is calculated using the formula. The specific calculation formula is:

[0016]

[0017] When W does not exceed X1, the mean value of Ci will be automatically marked as the duration of the first gear, and the maximum value of Ci will be marked as the duration of the second gear.

[0018] If it exceeds X1, a discrete signal is generated at this time, and Ci is sorted from large to small according to |Ci-P|, and Ci that is less than P is removed, and then Ci values ​​are selected in turn. Each time a Ci is selected, it is deleted. After deletion, the W value of the remaining Ci is recalculated. If it still exceeds X1, the next Ci is selected and deleted until W does not exceed X1;

[0019] Mark the minimum value among the remaining Ci as the first gear duration; mark the maximum value among the remaining Ci as the second gear duration;

[0020] Perform the same processing on all the remaining high-fault objects to obtain the first gear duration and the second gear duration of all high-fault objects.

[0021] Furthermore, the method for determining the first gear duration and the second gear duration for medium-fault objects is as follows:

[0022] Obtain all the usage durations Zi of the selected medium-fault objects, where i = 1,..., m. Then obtain the average value L of Zi, and calculate the discrete value W1 of Zi using the formula. The specific calculation formula is:

[0023]

[0024] When W1 does not exceed X1, automatically mark the average value of Zi as the first gear duration at this time; mark the maximum value in Zi as the second gear duration;

[0025] If it exceeds X1, a discrete signal is generated at this time. Sort the Zi values in descending order according to |Zi - L|, and select the Zi values in turn. Each time a Zi is selected, it is deleted. After deletion, recalculate the W1 value of the remaining Zi. If it still exceeds X1, select the next Zi and delete it until W1 does not exceed X1;

[0026] Obtain the number of deleted Zi, divide it by n, and mark the obtained value as the deletion ratio. When the deletion ratio does not exceed B1, where B1 is a preset value, generally taking 5% in general cases, mark the minimum value of the remaining Zi as the first gear duration of the corresponding medium-fault object at this time, and mark the maximum value of the remaining Zi as the second gear duration of the medium-fault object;

[0027] If the deletion ratio exceeds B1, judge whether there is a Zi that satisfies Zi - L < 0. When there is no Zi that satisfies Zi - L < 0, mark the minimum value of the remaining Zi as the first gear duration at this time; mark the maximum value of the remaining Zi as the second gear duration;

[0028] If there is a Zi that satisfies Zi - L < 0, restore the Zi that satisfies Zi - L < 0 to Zi at this time, then obtain the minimum value in Zi at this time, and mark it as the first gear duration; mark the maximum value in Zi as the second gear duration;

[0029] Perform the same processing on all the remaining medium-fault objects to obtain the first gear duration and the second gear duration of all medium-fault objects.

[0030] Furthermore, perform duration analysis on ordinary objects. The specific method is as follows:

[0031] Then, randomly select another ordinary object, obtain the total usage duration of the ordinary object, mark the average value of all usage durations as the first-level duration, and mark the maximum value of all usage durations as the second-level duration.

[0032] Furthermore, the system adopts the aforementioned safety monitoring and management method to implement the safety monitoring and management of special equipment.

[0033] Compared with the prior art, the beneficial effects of the present invention are:

[0034] The present invention obtains a failure object representing all components that cause equipment failures from the failure records, and determines the failure value of the severity of the failure according to the loss value of the economic loss caused by the failure object and the repair duration;

[0035] According to the failure value, the failure object is labeled as a critical failure object, a high failure object, a medium failure object, and an ordinary object, and then according to relevant analysis, the first stage, the second stage, and the third stage of overhauling the failure object are determined, and different overhaul frequencies are assigned to different stages of different objects, which can more reliably determine the inspection cycle of special equipment and avoid randomly determining the inspection frequency. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 It is a flowchart of the method provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0038] Please refer to Figure 1 , this application provides a safety monitoring and management method for special equipment;

[0039] As the first embodiment of this application, the method specifically includes the following steps:

[0040] Step 1: First, obtain all the special equipment failure records. The failure records include the failure object and its corresponding failure value. The failure object is the target of this failure, that is, for example, a screw at a certain position, or a failure caused by a certain part. The corresponding part is the failure object. The failure object appears at least once, and there may be several identical failure objects. The failure value is used to represent the damage degree of the failure. The specific acquisition method is as follows:

[0041] First, obtain the direct economic losses caused by the faults of the corresponding faulty objects. Here, the economic losses refer to the sum of the economic losses caused by the faulty objects several times. After removing the dimension, it is marked as the loss value. Then, obtain the corresponding repair duration. After removing the dimension, it is marked as the repair value. Calculate the fault value according to the formula. The specific formula is:

[0042] Fault value = 0.53 * loss value + 0.47 * repair duration; Calculate the fault values corresponding to all faulty objects;

[0043] Then, sort the fault values from largest to smallest. The faulty objects corresponding to the top 30%, the middle 50%, and the remaining 20% of the fault values before sorting are sequentially divided into high-fault objects, medium-fault objects, and ordinary objects; The middle 40% refers to 31% to 80%.

[0044] Of course, if any faulty object is damaged and causes casualties, the faulty object will be automatically updated to a critical-fault object;

[0045] Obtain high-fault objects, medium-fault objects, ordinary objects, and critical-fault objects;

[0046] Step 2: Conduct duration analysis for critical-fault objects. The specific method is as follows:

[0047] First, obtain all critical-fault objects, and then obtain the corresponding critical-fault objects;

[0048] Select any critical-fault object, and automatically obtain the service life of several identical models of this critical-fault object in the same environment. The same environment refers to the same usage scenario on the corresponding characteristic equipment. Here, the service life refers to the time length from the start of use to the occurrence of a fault for the corresponding critical-fault object. Mark the service life as the usage duration;

[0049] Obtain all the usage durations of the selected critical-fault object, and mark the minimum value as the first-stage duration and the maximum value as the second-stage duration;

[0050] Perform the same processing for all the remaining critical-fault objects to obtain the first-stage duration and the second-stage duration of all critical-fault objects;

[0051] Step 3: Conduct duration analysis for high-fault objects. The specific method is as follows:

[0052] Then, obtain the high-fault objects, and automatically obtain the service life of several identical models of this high-fault object in the same environment. Mark the service life as the usage duration;

[0053] Obtain the usage duration Ci of all selected high-fault objects, where i = 1, ..., n, indicating that there are n selected high-fault objects here. Then obtain the mean value P of Ci, and calculate the discrete value W of Ci using the formula. The specific calculation formula is:

[0054]

[0055] When W does not exceed X1, the mean value of Ci will be automatically marked as the first-level duration; the maximum value in Ci will be marked as the second-level duration;

[0056] If it exceeds X1, a discrete signal is generated at this time. Sort in descending order according to |Ci - P|, select the Ci values in turn. Each time a Ci is selected, it is deleted. After deletion, recalculate the W value of the remaining Ci. If it still exceeds X1, select the next Ci and delete it until W does not exceed X1;

[0057] Judge whether there is a Ci that satisfies Ci - P < 0. When there is no Ci that satisfies Ci - P < 0, at this time, mark the minimum value in the remaining Ci as the first-level duration; the maximum value in the remaining Ci as the second-level duration;

[0058] If there is a Ci that satisfies Ci - P < 0, at this time, the Ci that satisfies Ci - P < 0 will be restored to Ci, and then obtain the minimum value in Ci at this time, and mark it as the first-level duration; the maximum value in Ci as the second-level duration;

[0059] Perform the same processing on all other high-fault objects to obtain the first-level duration and the second-level duration of all high-fault objects;

[0060] Step 4: Conduct duration analysis for medium-fault objects. The specific method is:

[0061] Obtain the medium-fault objects, and obtain the usage duration Zi of all selected medium-fault objects, where i = 1, ..., m, indicating that there are m faults in the selected medium-fault objects here. Then obtain the mean value L of Zi, and calculate the discrete value W1 of Zi using the formula. The specific calculation formula is:

[0062]

[0063] When W1 does not exceed X1, the mean value of Zi will be automatically marked as the first-level duration; the maximum value in Zi will be marked as the second-level duration;

[0064] If it exceeds X1, a discrete signal is generated at this time. Sort in descending order according to |Zi - L|, select the Zi values in turn. Each time a Zi is selected, it is deleted. After deletion, recalculate the W1 value of the remaining Zi. If it still exceeds X1, select the next Zi and delete it until W1 does not exceed X1;

[0065] Obtain the number of deleted Z_i, divide it by n, and mark the resulting value as the deletion ratio. When the deletion ratio does not exceed B1, where B1 is a preset value, generally 5%, at this time, mark the minimum value of the remaining Z_i as the first gear duration of the corresponding accident object, and mark the maximum value of the remaining Z_i as the second gear duration of the accident object;

[0066] If the deletion ratio exceeds B1, determine whether there is a Z_i that satisfies Z_i - L < 0. When there is no Z_i with Z_i - L < 0, at this time, mark the minimum value of the remaining Z_i as the first gear duration; mark the maximum value of the remaining Z_i as the second gear duration;

[0067] If there is a Z_i with Z_i - L < 0, at this time, restore the Z_i that satisfies Z_i - L < 0 back to Z_i, then obtain the minimum value in Z_i at this time and mark it as the first gear duration; mark the maximum value in Z_i as the second gear duration;

[0068] Perform the same processing on all other accident objects to obtain the first gear duration and the second gear duration of all accident objects;

[0069] Step Five: Conduct duration analysis for ordinary objects. The specific method is as follows:

[0070] Select another ordinary object at random, obtain all the usage durations of the ordinary object, mark the average value of all usage durations as the first gear duration, and mark the maximum value of all usage durations as the second gear duration;

[0071] Step Six: Set the special equipment inspection cycle for high - accident objects, medium - accident objects, ordinary objects, and high - risk accident objects, specifically as follows:

[0072] When using high - accident objects, medium - accident objects, ordinary objects, and high - risk accident objects, mark the span from the corresponding start time to 0.85 times the first gear duration as Stage One, mark the span from 0.85 times the first gear duration to 0.9 times the second gear duration as Stage Two, and mark the time after 0.9 times the second gear duration as Stage Three;

[0073] During Stage One, conduct inspection and maintenance on high - accident objects, medium - accident objects, ordinary objects, and high - risk accident objects at intervals of the basic duration T1, where T1 is a preset value;

[0074] During Stage Two, conduct inspection and maintenance on high - accident objects, medium - accident objects, ordinary objects, and high - risk accident objects at intervals of 0.5 times the T1 duration;

[0075] During Stage Three, conduct inspection and maintenance on high - accident objects, medium - accident objects, ordinary objects, and high - risk accident objects at intervals of 0.35 times the T1 duration.

[0076] Some of the data in the above formula are calculated by removing the dimension and taking their numerical values. The formula is obtained by software simulation of a large amount of collected data to get a formula closest to the actual situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0077] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A safety monitoring and management method for special equipment, characterized in that, The specific steps include: Obtaining fault objects representing all components that cause equipment failure from the fault records, and determining a fault value of the severity of the fault based on the loss value of the economic loss caused by the fault object and the repair time; According to the fault value, the fault object is labeled as a dangerous fault object, a high fault object, a medium fault object, and an ordinary object. Then, the usage time is determined based on the several uses of the fault object with different labels. According to the discrete degree of the usage time and the label to which it belongs, the first gear time and the second gear time are determined. Therefore, for the fault object that has just been put into use, 0.85 times the first gear time and 0.9 times the second gear time are used to determine the stage one, stage two, and stage three for the maintenance of the fault object.

2. A special equipment safety monitoring and management method according to claim 1, characterized in that: In stage one, the preset basic duration is used as the interval duration, in stage two, half of the basic duration is used as the interval duration, and in stage three, 0.35 times of the basic duration is used to periodically inspect and maintain high-fault objects, medium-fault objects, ordinary objects, and critical-fault objects.

3. A safety monitoring and management method for special equipment according to claim 1, characterized in that, The fault value is obtained by adding up the loss value and the repair time after assigning different weights, and the weight is a preset value.

4. A special equipment safety monitoring and management method according to claim 1, characterized in that, The way to label the fault object is as follows: The fault values ​​are sorted from large to small, and the first 30%, the middle 50%, and the remaining 20% ​​are labeled as high-fault objects, medium-fault objects, and normal objects respectively.

5. A special equipment safety monitoring and management method according to claim 1, characterized in that When the fault record caused by any fault object results in casualties, the corresponding fault object will be marked as a dangerous object.

6. A safety monitoring and management method for special equipment according to claim 1, characterized in that, When the fault object is a dangerous object, the usage time of several dangerous objects of the same model in the same environment is obtained. The same environment refers to the same usage scenario on the corresponding feature device, and the usage time refers to the length of time from the beginning of use of the corresponding dangerous object to the occurrence of the fault; Get all the usage durations of the selected dangerous objects, mark the minimum value as the first duration, and the maximum value as the second duration; The same process is performed on all other dangerous objects to obtain the first and second durations of all dangerous objects.

7. A special equipment safety monitoring and management method according to claim 6, characterized in that: When the fault object is a high fault object, several usage durations of the high fault object are obtained, Ci, i=1, ..., n, and then the mean value P of Ci is obtained, and the discrete value W of Ci is calculated using the formula. The specific calculation formula is: When W does not exceed X1, the mean value of Ci will be automatically marked as the duration of the first gear, and the maximum value of Ci will be marked as the duration of the second gear. If it exceeds X1, a discrete signal is generated at this time, and Ci is sorted from large to small according to |Ci-P|, and Ci that is less than P is removed, and then Ci values ​​are selected in turn. Each time a Ci is selected, it is deleted. After deletion, the W value of the remaining Ci is recalculated. If it still exceeds X1, the next Ci is selected and deleted until W does not exceed X1; The minimum value among the remaining Ci is marked as the duration of gear one; the maximum value among the remaining Ci is marked as the duration of gear two; Perform the same processing on all the remaining high-fault objects to obtain the first-duration and second-duration of all high-fault objects.

8. A special equipment safety monitoring and management method according to claim 7, characterized in that The method for determining the first-duration and second-duration for medium-fault objects is as follows: Obtain all the usage durations Zi of the selected medium-fault objects, where i = 1,..., m. Then obtain the mean value L of Zi, and calculate the discrete value W1 of Zi using the formula. The specific calculation formula is: When W1 does not exceed X1, the mean value of Zi will be automatically marked as the first-duration; the maximum value in Zi will be marked as the second-duration; If it exceeds X1, a discrete signal will be generated at this time. Sort the Zi values in descending order according to |Zi - L|, and select the Zi values in turn. Each time a Zi is selected, it will be deleted. After deletion, recalculate the W1 value of the remaining Zi. If it still exceeds X1, select the next Zi and delete it until W1 does not exceed X1; Obtain the number of deleted Zi, divide it by n, and mark the obtained value as the deletion ratio. When the deletion ratio does not exceed B1, where B1 is a preset value, generally taking 5% in general cases, at this time, mark the minimum value of the remaining Zi as the first-duration of the corresponding medium-fault object, and mark the maximum value of the remaining Zi as the second-duration of the medium-fault object; If the deletion ratio exceeds B1, determine whether there is a Zi that satisfies Zi - L < 0 among them. When there is no Zi that satisfies Zi - L < 0, at this time, mark the minimum value of the remaining Zi as the first-duration; mark the maximum value of the remaining Zi as the second-duration; If there is a Zi that satisfies Zi - L < 0, at this time, restore the Zi that satisfies Zi - L < 0 back to Zi, and then obtain the minimum value in Zi at this time, and mark it as the first-duration; Mark the maximum value in Zi as the second-duration; Perform the same processing on all the remaining medium-fault objects to obtain the first-duration and second-duration of all medium-fault objects.

9. A special equipment safety monitoring and management method according to claim 1, characterized in that Perform duration analysis on ordinary objects. The specific method is as follows: Select another ordinary object at random, obtain all the usage durations of the ordinary object, mark the mean value of all the usage durations as the first-duration, and mark the maximum value of all the usage durations as the second-duration.

10. A special equipment safety monitoring and management system, characterized in that, The system adopts the safety monitoring and management method described in any one of claims 1-9 to implement the safety monitoring and management of special equipment.

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