阅读说明：本技术 磁性体的劣化预测装置和磁性体的劣化预测方法 (Magnetic material degradation prediction device and magnetic material degradation prediction method ) 是由 山下光夫 児玉博明 野地健俊 篠原真 于 2020-05-14 设计创作，主要内容包括：一种磁性体的劣化预测装置,具备：磁传感器(10),其对受到了作为检查对象的磁性体(W)的影响的磁场进行检测来输出传感器信号；劣化得分估算单元(51),其基于传感器信号来估算表示磁性体的劣化程度的劣化得分；劣化得分存储部(41),其存储劣化得分；劣化预测模型存储部(42),其存储示出劣化程度的变化的劣化预测模型；劣化预测模型更新单元(52),其更新劣化预测模型,由此获取更新后的劣化预测模型；以及劣化得分预测单元(53),其估计将来的劣化得分。(A deterioration prediction device for a magnetic material, comprising: a magnetic sensor (10) that detects a magnetic field affected by a magnetic substance (W) to be inspected and outputs a sensor signal; a deterioration score estimation unit (51) which estimates a deterioration score representing the degree of deterioration of the magnetic body on the basis of the sensor signal; a deterioration score storage unit (41) that stores a deterioration score; a deterioration prediction model storage unit (42) that stores a deterioration prediction model showing a change in the degree of deterioration; a degradation prediction model updating unit (52) that updates the degradation prediction model, thereby acquiring an updated degradation prediction model; and a deterioration score prediction unit (53) that estimates a future deterioration score.)

1. A deterioration prediction device for a magnetic material, comprising:

a magnetic sensor that detects a magnetic field affected by a magnetic substance to be inspected and outputs a sensor signal;

a deterioration score estimation unit that estimates a deterioration score indicating a degree of deterioration of the magnetic substance based on the sensor signal;

a deterioration score storage unit that stores the deterioration score;

a deterioration prediction model storage unit that stores a deterioration prediction model showing a change in the degree of deterioration;

a deterioration prediction model updating unit that updates the deterioration prediction model based on the deterioration scores at a plurality of points in time, thereby acquiring an updated deterioration prediction model; and

and a deterioration score prediction means for estimating a future deterioration score or a life of the magnetic substance from the updated deterioration prediction model.

2. The magnetic deterioration prediction device according to claim 1,

the deterioration prediction model updating unit updates the deterioration prediction model based on the deterioration scores at a plurality of time points thereafter in the case where an emergency is detected, thereby acquiring the updated deterioration prediction model.

3. The magnetic deterioration prediction device according to claim 1 or 2,

the magnetic body is a steel wire rope.

4. The magnetic deterioration prediction device according to any one of claims 1 to 3,

the magnetic substance monitoring device further includes a registration unit for registering at least one of the predetermined section of interest in the magnetic substance and the degradation prediction model.

5. The magnetic deterioration prediction device according to claim 2,

the emergency event includes at least one of an earthquake, a fire, a lightning strike, flooding, and maintenance.

6. The magnetic substance degradation prediction device according to any one of claims 3 to 5,

the magnetic sensor detects the magnetic field by a total magnetic flux method.

7. The magnetic substance degradation prediction device according to any one of claims 3 to 5,

the degradation prediction model includes a set of degradation scores estimated based on sensor signals output from a sensor of the same kind as the magnetic sensor each time a load is applied to a wire rope of the same kind as the wire rope at a plurality of points in time.

8. A method for predicting deterioration of a magnetic material, comprising the steps of:

a sensor signal acquisition step of detecting a magnetic field affected by a magnetic substance to be inspected by a magnetic sensor to acquire a sensor signal;

a deterioration score estimation step of estimating a deterioration score indicating a degree of deterioration of the magnetic substance based on the sensor signal;

a deterioration prediction model updating step of updating a deterioration prediction model showing a change in the degree of deterioration based on the deterioration scores at a plurality of points in time, thereby acquiring an updated deterioration prediction model; and

and a degradation score estimation step of estimating a future degradation score from the updated degradation prediction model.

9. The method of predicting degradation of a magnetic material according to claim 8, wherein the magnetic material is a magnetic material,

in the degradation prediction model updating step, in a case where an emergency is detected, the degradation prediction model is updated based on the degradation scores at a plurality of time points thereafter, thereby obtaining the updated degradation prediction model.

10. The method of predicting degradation of a magnetic material according to claim 8 or 9,

further comprising the steps of: a deterioration prediction model including a set of deterioration scores estimated based on sensor signals output from the same kind of sensor as the magnetic sensor each time a load is applied to the same kind of magnetic substance as the inspection target at a plurality of time points is prepared.

Technical Field

The present invention relates to a magnetic material degradation prediction device and a magnetic material degradation prediction method.

Background

Conventionally, the following techniques are known: the life of a wire rope is predicted by calculation based on operation history information of a crane apparatus and an elevator system in which the wire rope is incorporated (for example, patent document 1). In addition, the following attempts were made: a weak portion is provided in a part of the wire rope, and the replacement timing is predicted by detecting a disconnection at the weak portion (for example, patent document 2).

Documents of the prior art

Patent document

Patent document 1: japanese patent laid-open No. 2014-234260

Patent document 2: japanese laid-open patent publication No. 2010-254394

Disclosure of Invention

Problems to be solved by the invention

However, the method of predicting and providing a weak portion based on the operation history information does not detect any physical state of the wire rope itself to be inspected, and therefore, it is a problem to obtain a prediction result reflecting the state of the wire rope to be inspected and replace the wire rope at an appropriate timing. An object of one aspect of the present invention is to provide a magnetic substance degradation prediction device and a magnetic substance degradation prediction method that solve the above problems and have higher accuracy.

Means for solving the problems

A magnetic substance degradation prediction device according to a first aspect of the present invention includes: a magnetic sensor that detects a magnetic field affected by a magnetic substance to be inspected and outputs a sensor signal; a deterioration score estimation unit that estimates a deterioration score indicating a degree of deterioration of the magnetic body based on the sensor signal; a deterioration score storage unit that stores a deterioration score; a deterioration prediction model storage unit that stores a deterioration prediction model showing a change in a degree of deterioration; a deterioration prediction model updating unit that updates a deterioration prediction model based on deterioration scores at a plurality of points in time, thereby acquiring an updated deterioration prediction model; and a degradation score prediction unit that estimates a future degradation score from the updated degradation prediction model.

A method for predicting deterioration of a magnetic material according to a second aspect of the present invention includes the steps of: a sensor signal acquisition step of detecting a magnetic field affected by a magnetic substance to be inspected by a magnetic sensor to acquire a sensor signal; a deterioration score estimation step of estimating a deterioration score indicating a degree of deterioration of the magnetic body based on the sensor signal; a deterioration prediction model updating step of updating a deterioration prediction model showing a change in the degree of deterioration based on deterioration scores at a plurality of points in time, thereby acquiring an updated deterioration prediction model; and a degradation score estimation step of estimating a future degradation score from the updated degradation prediction model.

ADVANTAGEOUS EFFECTS OF INVENTION

According to the first and second aspects of the present invention, it is possible to provide a magnetic substance degradation prediction device and a magnetic substance degradation prediction method with higher accuracy.

Drawings

Fig. 1 is a diagram illustrating an overall image of a magnetic deterioration prediction device.

Fig. 2 is a diagram illustrating the structure of the magnetic sensor.

Fig. 3 is a diagram illustrating an application to an elevator system.

Fig. 4 is a flowchart showing an example of the operation of the program.

Fig. 5 is a diagram showing a waveform of the sensor signal sequence s (x) when the wire is broken.

Fig. 6 is a diagram showing the transition of the deterioration score Di.

Detailed Description

(description of the Structure)

One embodiment of the present invention will be described.

As shown in fig. 1, a deterioration prediction device for a magnetic material according to an embodiment of the present invention includes: a magnetic sensor 10 that detects a magnetic field affected by a wire rope W as an inspection target and outputs a sensor signal Si; a deterioration score estimation unit that acquires the sensor signal Si as time-series data, converts the time-series sensor signal Si into a sensor signal series s (x) related to the position of the wire rope W, stores the sensor signal series s (x) in the sensor signal storage unit 43, and estimates a deterioration score Di indicating the degree of deterioration of the wire rope W based on the sensor signal series s (x); a deterioration score storage unit 41 that stores deterioration scores D1, D2 … Dn at a plurality of time points; a deterioration prediction model storage unit 42 that stores a deterioration prediction model Mo showing a change in the degree of deterioration; a deterioration prediction model updating unit that updates the deterioration prediction model Mo based on deterioration scores at a plurality of points in time, thereby acquiring an updated deterioration prediction model Ma; a deterioration score prediction unit that estimates a future deterioration score Df from the updated deterioration prediction model Ma; a display 81 that displays the updated degradation prediction model Ma and the estimated future degradation score Df; and a registration unit 82 for registering the degradation prediction model Mo. The wire rope W is an example of the "magnetic body" in the present application. The deterioration prediction device for a magnetic material according to an embodiment of the present invention includes a computer 100. The computer 100 includes a CPU (Central Processing Unit) 30, an a/D converter 31, an I/D converter 32, a nonvolatile memory 40, and a transmission/reception Unit 90. The CPU 30, the a/D converter 31, the nonvolatile memory 40, and the transmission/reception unit 90 are connected to each other via an I/D converter 32 for I/D converting an analog signal.

The deterioration score storage unit 41, the deterioration prediction model storage unit 42, the sensor signal storage unit 43, and the program storage unit 50 are provided in the nonvolatile memory 40 of the computer 100. The degradation score estimation means, the degradation prediction model updating means, and the degradation score prediction means in the present embodiment are realized by the degradation score estimation module 51, the degradation prediction model updating module 52, and the degradation score prediction module 53, which are modules read out by the CPU 30 and executed as programs stored in the program storage unit 50, respectively. That is, the degradation score estimation module 51 is an example of "degradation score estimation means" of the present application, and the degradation prediction model update module 52 is an example of "degradation prediction model update means" of the present application. The degradation score prediction module 53 is an example of "degradation score prediction means" in the present application. In the present embodiment, the magnetic deterioration prediction device further includes a display 81 for displaying the updated deterioration prediction model Ma, and a registration unit 82 for registering the deterioration prediction model Ma. The registration unit 82 includes a touch panel and is configured to receive an operation from a user. That is, the registration unit 82 is configured to be able to register the degradation prediction model Ma.

(Structure of magnetic sensor 10)

As shown in fig. 2, the magnetic sensor 10 includes: a thermomagnetic compensation (japanese: whole magnetism) magnet 11 that performs thermomagnetic compensation on the wire rope W; an excitation coil 12 disposed so as to sandwich the wire rope W; an excitation control unit 13 that generates an alternating magnetic field between the excitation coils 12 by supplying an alternating current to the excitation coils 12; a search coil 14 and a search coil 15, the search coil 14 and the search coil 15 being disposed in a space between the excitation coil 12 and the wire rope W and being disposed in a closed loop in which the wire rope W substantially passes through the coils; a differential circuit 16 that outputs a difference between currents flowing through the detection coils 14 and 15; and a current-voltage conversion circuit 17 that converts the current, which is the output of the differential circuit 16, into a voltage and outputs the voltage as the sensor signal Si. The magnetic sensor 10 is configured to detect a magnetic field that is affected by the wire rope W to be inspected.

Fig. 3 shows an example in which the magnetic deterioration prediction device is applied to an elevator system E. In the elevator system E, one end of a wire rope W is coupled to a car E1 of the elevator, and the other end of the wire rope W is coupled to a counterweight E3. When the counterweight E3 moves downward, the wire rope W is driven by the rotational force of the hoisting machine (i.e., up hook) E2 and the frictional force with the wire rope W, and the car E1 of the elevator is raised and lowered.

As shown in fig. 3, the magnetic sensor 10 is disposed between the car E1 and the hoisting machine E2 of the elevator so that the wire rope W passes through the inside of the main body thereof.

(treatment Process)

The processing of each program will be described with reference to the flowchart of fig. 4.

(sensor signal acquisition step 210)

In this step, the CPU 30 executes the degradation score estimation module 51 read from the program storage unit 50, thereby operating as follows. First, the CPU 30 acquires the current sensor signal Si from the a/D converter 31, acquires the current hoisting position X of the hoisting machine E2, and stores the sensor signal Si in the sensor signal storage unit 43 in the nonvolatile memory 40 in association with the hoisting position X. This operation is executed at every predetermined timing or at every predetermined hoisting position X. Thereby, a sensor signal sequence s (x) for each position of the wire rope W is generated.

The sensor signal acquisition step 210 may be continuously executed asynchronously with the other steps, or may be executed when the wire rope W is moved once at the time of inspecting the elevator system E, for example, and then the process proceeds to the next step 220 and thereafter.

It is preferable for the sensor signal sequence s (x) to be different from the sensor signal sequence so (x) acquired when the wire rope W is installed, because only a change in the signal due to deterioration can be extracted, but this difference processing is not essential.

In addition, the embodiment of this step can be variously modified as long as sensor signals at a plurality of points in time are acquired and stored.

(deterioration score estimating step 220)

In this step, the CPU 30 executes the degradation score estimation module 51 read out from the program storage unit 50, and thereby executes the following.

First, the CPU 30 reads out the sensor signal sequence s (x) from the sensor signal storage unit 43. In the present embodiment, the magnetic sensor 10 is of the full magnetic flux type (full magnetic flux method) as shown in fig. 2, that is, a configuration in which the wire rope W to be inspected is passed through the closed loops of the search coils 14 and 15, and therefore, even when a wire breakage occurs in the wire rope W, a change in the magnetic field due to the breakage appears as a change in the current flowing through the search coils 14 and 15. Therefore, the sensor signal Si, i.e., the sensor signal sequence s (x), changes in a state where no visual fracture is observed in the wire rope W, and therefore, the deterioration state can be determined with extremely high accuracy.

For example, a waveform as shown in fig. 5 (a) is observed at a portion where a wire is broken. When the number of wire rod breakage increases in the same cross section of the wire rope W, a waveform as shown in fig. 5 (B) is observed. That is, as the number of broken wires increases, the amplitude of the characteristic waveform as shown in fig. 5 increases, and therefore the number of broken wires can be estimated.

In the present embodiment, the number of wire breakage is calculated (estimated) over the predetermined section of interest of the wire rope W in this manner, and the maximum value of the number of wire breakage is stored as the deterioration score Di in the deterioration score storage unit 41 together with the year, month and day when the sensor signal Si is acquired. Thereby, the deterioration scores Di at a plurality of time points are accumulated in the deterioration score storage unit 41. The predetermined section of interest is, for example, a section of the wire rope W that passes through the sheave at least 1 time, and is referred to as a section in which deterioration prediction is required because a load is applied. Further, the predetermined section of interest of the wire rope W is registered by the registration unit 82.

In the present embodiment, the degradation score Di is set to the maximum value in the predetermined section of interest of the wire rope W, but is not limited to this. For example, the total value of the degradation scores (the number of broken wires) calculated at each portion may be used as the degradation score Di. In addition, the section of interest may be further divided, and the degradation score Di may be estimated for each of the small segments. In addition, the signal detected by the magnetic sensor may be converted into the degree of deterioration of the wire rope W, and various score estimation methods may be employed.

Fig. 6 (a) is a transition of the degradation score Di obtained when the degradation score estimation step 220 is executed using a magnetic sensor in the same manner as the magnetic sensor 10 while repeatedly applying a load to the standard product of the wire rope W in the fatigue testing machine. The horizontal axis represents the number of trials, and the vertical axis represents the degradation score Di.

As can be seen from this graph, the degradation score Di increases. However, in the appearance of the wire rope W, 1 wire breakage was finally visually recognized in the vicinity of more than 11000 times, and the 2 nd wire breakage was visually recognized in the vicinity of 13000 times, but then, complete breakage was reached in the vicinity of 15000 times. In this way, complete breakage was suddenly achieved in a state where the degree of deterioration of the wire rope W could not be visually confirmed. However, it can be confirmed that the deterioration score Di continues to increase while the change in appearance is not so noticeable. This indicates that wire breakage is progressing inside the steel cord.

In the present embodiment, the degradation prediction model Mo includes a set of degradation scores Di estimated based on sensor signals output from the same type of sensor as the magnetic sensor 10 each time a load is applied to the same type of wire rope (the standard product of the wire rope W) as the wire rope W at a plurality of points in time.

The method for predicting degradation of a magnetic material according to the present embodiment includes a step of preparing a degradation prediction model Mo including a set of degradation scores Di estimated based on sensor signals output from the same type of sensor as the magnetic sensor 10 each time a load is applied to the standard product of the wire rope W at a plurality of points in time.

As can be seen from the graph, the signal did not change until about 2500 times, and the number of broken wires tended to increase substantially linearly after the internal breakage started. Therefore, it is understood that the degradation prediction model Mo may be a model that performs linear approximation after the detection of the disconnection, for example.

However, even if a standard degradation prediction model Mo is prepared, the load, torque, bending curvature, and the like applied to the wire rope W vary depending on the device at the site.

Therefore, in the present embodiment, the degradation prediction model updating step 230 is performed.

(degradation prediction model update step 230)

In this step, the CPU 30 executes the degradation prediction model update module 52 read out from the program storage unit 50, and thereby executes the following.

First, the CPU 30 reads the degradation scores Di at a plurality of time points from the degradation score storage unit 41, and reads the standard degradation prediction model Mo from the degradation prediction model storage unit 42.

In the present embodiment, the standard degradation prediction model Mo is a bilinear approximate model obtained from (a) in fig. 6, and when the parameters of the model are input in advance by the registration unit 82 of the tablet terminal 80 (see fig. 1), the model is stored as the standard degradation prediction model Mo in the degradation prediction model storage unit 42 by the transmission/reception unit 90. Specifically, the standard degradation prediction model Mo is expressed as follows.

Di＝Ax+B

0<x≤2500；A＝0、B＝0

2500>x；A＝0.01、B＝-25

Here, x denotes the number of runs of the elevator system E. The number of operations of the elevator system E from the departure of the current floor to the arrival at the destination floor is counted as 1.

Here, when the degradation score estimation step 220 is executed in steps while the elevator system E is operating, a transition as shown in fig. 6 (B) is performed. In this case, since the deterioration progresses at the time point of 11500 times, the standard deterioration prediction model Mo is updated so as to fit the actually observed Di, and the updated deterioration prediction model Ma is obtained.

Di＝Ax+B

0<x≤2500；A＝0、B＝0

2500>x；A＝0.004、B＝-10

Further, the updated degradation prediction model Ma created (updated) last time may be updated step by step so as to fit the updated degradation scores D1, D2... Dn at a plurality of time points. In addition, various methods may be employed as long as the deterioration prediction model Mo prepared at the beginning is updated based on the deterioration score Di generated later.

In the present embodiment, the degradation prediction model Mo is a bilinear approximation model, but may be a multidimensional approximation curve model or a spline approximation model. In addition, various models can be selected as long as they are functions that increase in accordance with the number of operations.

However, when a load different from normal load is applied to the wire rope W in an earthquake, a fire, or the like, the deterioration score Di may change nonlinearly with the time point being defined. When the updated degradation prediction model Ma is obtained by fitting the degradation scores Di before and after such a particular event, it is predicted that the possibility of fracture will be reached in an extremely short period of time is higher than it would otherwise be.

Therefore, it is also possible to acquire emergency information indicating occurrence of an emergency such as an earthquake or a fire, and update the standard degradation prediction model Mo so as to fit only the degradation score Di after the occurrence of the emergency information. This can further improve the prediction accuracy.

In addition, the burst information may be generated by determining that a burst event occurs before the deterioration score Di has a deviation greater than a fixed value when the deterioration score Di is linearly approximated. That is, the burst information may be determined using a result obtained by detecting the occurrence of an external factor by another unit, or may be determined based on a sudden change in the degradation score Di.

The emergency event here includes an event that affects a magnetic substance to be inspected differently from a normal operation state, such as an earthquake, a fire, a lightning strike, flooding, and maintenance.

It is preferable that the updated degradation prediction model Ma obtained in this way and the transition of the degradation score Di up to now be transmitted to the tablet terminal 80 by the transmission/reception unit 90, and a graph be displayed on the display 81 of the tablet terminal 80, so that the maintenance person and the building owner can confirm the degradation degree in real time. In particular, since the magnetic sensor 10 and the computer 100 may be disposed in places that are difficult to enter, it is more preferable that the computer 100 and the tablet terminal 80 can communicate by wireless communication via an internet line (LTE line), a telephone line, or the like.

(deterioration score estimating step 240)

The future degradation score Df is predicted from the thus obtained updated degradation prediction model Ma. When the number of times of operation of the elevator system E before the fracture level is predicted, the number x of times the future degradation score Df calculated by the updated degradation prediction model Ma exceeds the threshold may be determined. The threshold value may be determined based on the number of times of operation of the elevator system E for which breakage is confirmed by a test using a fatigue tester as in the case of obtaining the degradation score Di in fig. 6 (a), for example. This makes it possible to predict the life of the wire rope W. Conversely, the deterioration score Di after the predetermined number of operations can be calculated. The number of times x obtained in this manner may be directly displayed on the display 81, or a value obtained by converting the number of times x into the number of days based on the average number of operations per unit period of the device may be displayed. Further, the updated degradation prediction model Ma may be displayed together with a graph of the transition of the degradation score Di up to the present time.

In the present embodiment, the system in which the wire rope W moves relative to the degradation prediction device for the magnetic material is shown, but the present invention can also be applied to a system in which the degradation prediction device for the magnetic material moves relative to the wire rope W. For example, a magnetic material is fixed to a suspension cable in a crane, a stay cable in a cableway, a suspension cable or a PC cable attached to a suspension bridge or a PC bridge, or the like, but is degraded due to a load continuously applied thereto in a use environment, and therefore, it is effective to measure the degradation state by manually or robotically scanning a degradation prediction device for a magnetic material. In this case, the number of operations may be replaced with time as a parameter.

In the present embodiment, the steel wire rope W is exemplified as the magnetic material to be inspected, but the magnetic material is not particularly limited as long as it is a magnetic material that causes deterioration of the material due to a continuous load applied thereto in the use environment. For example, a stainless steel rope, a twisted wire obtained by twisting wire materials together, a thin plate, a square bar, a cylindrical pipe, a steel wire, and a chain may be used. Further, the wire rope W may be coated with a resin, a plating layer, or the like. Further, the wire rope W may be a cable or the like as a structural member. For example, the method can be applied to prediction of deterioration due to corrosion of a bridge pier or a reinforcing steel bar in concrete. In this case, the number of operations may be replaced with time as a parameter.

In the present embodiment, the example in which the magnetic sensor 10 is disposed between the car E1 and the hoisting machine E2 of the elevator is shown, but the disposition of the magnetic sensor in the present invention is not limited to this. Any position may be used as long as the position can measure the section passing through the pulley, and for example, the position may be between the hoisting machine E2 and the counterweight E3.

In the present embodiment, an example is shown in which the wire rope W is driven by the rotational force of the hoisting machine E2 and the frictional force with the wire rope W, but the method of driving the wire rope W is not limited to this. For example, another driving method such as winding may be used.

When the local kink or internal rust is detected by the magnetic sensor 10, the local kink or internal rust may be displayed on the display 81 of the tablet terminal 80 together with the degradation score Di in the present embodiment. Accordingly, the urgency of maintenance and the contents of treatment can be determined as parameters independent of the degradation score Di based on the number of wire breakage.

In the present embodiment, an example is shown in which the transmission/reception unit 90 transmits the transition of the degradation score Di or the like to the tablet terminal 80, but the present invention is not limited to this. Instead of being sent to the tablet terminal, the information may be sent to a PC of a maintenance company, a central monitoring board of a disaster prevention center, or the like.

In the present embodiment, for convenience of explanation, the operation of the program of the magnetic substance degradation prediction device of the present invention is described using a flow-driven flowchart in which processes are sequentially performed according to the process flow, but the present invention is not limited to this. In the present invention, the program of the magnetic deterioration predicting device may be operated by an event drive type process in which the process is executed in units of events. In this case, the event driving may be performed as a complete event driving type, or may be performed by combining the event driving and the flow driving.

The present specification includes the following inventions.

(invention 1)

A deterioration prediction device for a magnetic material, comprising: a magnetic sensor that detects a magnetic field affected by a magnetic substance to be inspected and outputs a sensor signal; a deterioration score estimation unit that estimates a deterioration score indicating a degree of deterioration of the magnetic substance based on the sensor signal; a deterioration score storage unit that stores the deterioration score; a deterioration prediction model storage unit that stores a deterioration prediction model showing a change in the degree of deterioration; a deterioration prediction model updating unit that updates the deterioration prediction model based on the deterioration scores at a plurality of points in time, thereby acquiring an updated deterioration prediction model; and a degradation score prediction unit that estimates a future degradation score from the updated degradation prediction model.

(invention 2)

The magnetic deterioration prediction device according to claim 1, wherein the deterioration prediction model updating means updates the deterioration prediction model based on the deterioration scores at a plurality of subsequent time points when an emergency is detected, thereby acquiring the updated deterioration prediction model.

(invention 3)

The degradation prediction device of a magnetic material according to claim 1 or 2, wherein the magnetic material is a wire rope.

(invention 4)

The deterioration prediction device of a magnetic material according to any one of claims 1 to 3, further comprising a registration unit for registering at least one of the predetermined section of interest in the magnetic material and the deterioration prediction model.

(invention 5)

The magnetic substance degradation prediction device according to claim 2, wherein the emergency event includes at least one of an earthquake, a fire, a lightning strike, flooding, and maintenance.

(invention 6)

The magnetic deterioration prediction device according to any one of claims 3 to 5, wherein the magnetic sensor detects the magnetic field by a total magnetic flux method.

(invention 7)

The magnetic material degradation prediction device according to any one of claims 3 to 5, wherein the degradation prediction model includes a set of degradation scores estimated based on sensor signals output from a sensor of the same type as the magnetic sensor each time a load is applied to a wire rope of the same type as the wire rope at a plurality of points in time.

(invention 8)

A method for predicting deterioration of a magnetic material, comprising the steps of: acquiring a sensor signal by detecting a magnetic field influenced by a magnetic body to be inspected by a magnetic sensor; estimating a degradation score representing a degree of degradation of the magnetic body based on the sensor signal; updating a deterioration prediction model showing a change in the degree of deterioration based on the deterioration scores at a plurality of points in time, thereby obtaining an updated deterioration prediction model; and estimating a future degradation score according to the updated degradation prediction model.

(invention 9)

The method for predicting degradation of a magnetic material according to claim 8, wherein, in the degradation prediction model updating step, when an emergency is detected, the degradation prediction model is updated based on the degradation scores at a plurality of subsequent points in time, thereby acquiring the updated degradation prediction model.

(invention 10)

The method for predicting deterioration of a magnetic material according to claim 8 or 9, further comprising: a deterioration prediction model including a set of deterioration scores estimated based on sensor signals output from the same kind of sensor as the magnetic sensor each time a load is applied to the same kind of magnetic substance as the inspection target at a plurality of time points is prepared.

Description of the reference numerals

10: a magnetic sensor; 11: a thermomagnetic compensation magnet; 12: an excitation coil; 13: an excitation control unit; 14: a detection coil; 15: a detection coil; 16: a differential circuit; 17: a current-voltage conversion circuit; 30: a CPU; 31: an A/D converter; 32: an I/D converter; 40: a non-volatile memory; 41: a deterioration score storage unit; 42: a deterioration prediction model storage unit; 43: a sensor signal storage section; 50: a program storage unit; 51: a degradation score estimation module; 52: a degradation prediction model update module; 53: a degradation score prediction module; 80: a tablet terminal; 81: a display; 82: a registration unit; 90: a transmitting/receiving unit; 100: a computer; 210: a sensor signal acquisition step; 220: a degradation score estimation step; 230: a degradation prediction model updating step; 240: a degradation score estimation step; e: an elevator system; e1: a car of an elevator; e2: a traction machine; e3: a counterweight; mo: a standard degradation prediction model; and Ma: an updated degradation prediction model; w: a steel cord.