Monitoring device

Abstract

Provided is a monitoring device capable of more accurately monitoring the deterioration state of a secondary battery. The monitoring device is connected with a control device for controlling a car of an elevator and is used for communicating with the outside, and the monitoring device is provided with an acquisition part for acquiring the temperature of a secondary battery according to the measured temperature of the secondary battery measured by a temperature sensor; an average temperature calculation unit that calculates an average temperature, which is an average value of the measured temperatures during a monitoring period from the previous calculation process to the current calculation process; a calculation unit that derives a current life curve function indicating the relationship between the full charge capacity and the operating time of the secondary battery on the basis of the average temperature, and calculates the current full charge capacity on the basis of the current life curve function; and a determination unit that notifies a warning when the current full charge capacity calculated by the calculation unit is less than a warning threshold value.

Description

Technical Field

[0001] The present disclosure relates to a monitoring device for an elevator. Background Art

[0002] Patent Document 1 discloses a monitoring device for an elevator. The monitoring device is connected to a secondary battery and can estimate and monitor the capacity retention rate of the secondary battery in a fully charged state based on a life curve function that is a relationship between the operating time and the capacity retention rate.

[0003] Prior art literature

[0004] Patent Literature

[0005] Patent Document 1: International Publication No. 2020 / 188662 Summary of the invention

[0006] Problems to be solved by the invention

[0007] The life curve function changes according to the corresponding temperature. However, in the monitoring device described in Patent Document 1, the life curve function is a function corresponding to a set ambient temperature. Therefore, the accuracy of monitoring the capacity maintenance rate in the fully charged state is reduced.

[0008] The present disclosure is made to solve the above-mentioned problems. An object of the present disclosure is to provide a monitoring device that can more accurately monitor the deterioration state of a secondary battery.

[0009] Means for solving problems

[0010] The monitoring device disclosed in the present invention is connected to a control device that controls the elevator car and is used to communicate with the outside, wherein the monitoring device comprises: an acquisition unit, which calculates the average value of the measured temperatures during the monitoring period from the last calculation process to the current calculation process based on the measured temperature of the secondary battery measured by the temperature sensor, that is, the average temperature; a calculation unit, which derives a current life curve function that represents the relationship between the full charge capacity and the operating time of the secondary battery based on the average temperature, and calculates the current full charge capacity based on the current life curve function; and a determination unit, which notifies a warning when the current full charge capacity calculated by the calculation unit is smaller than the warning threshold.

[0011] Effects of the Invention

[0012] According to the present disclosure, the current life curve function is derived from the average value of the temperature of the secondary battery measured before the calculation process is performed. Therefore, the degradation state of the secondary battery can be monitored more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1This is a schematic diagram of an elevator apparatus to which the monitoring device in the first embodiment is applied.

[0014] Figure 2 This is a block diagram of the monitoring device in the first embodiment.

[0015] Figure 3 This is a graph for explaining the algorithm executed by the monitoring device in the first embodiment.

[0016] Figure 4 This is a graph for explaining the algorithm executed by the monitoring device in the first embodiment.

[0017] Figure 5 This is a graph for explaining the algorithm executed by the monitoring device in the first embodiment.

[0018] Figure 6 This is a graph showing a plurality of calibration points calculated by the monitoring device in the first embodiment.

[0019] Figure 7 This is a graph showing a plurality of calibration points and a predicted life curve calculated by the monitoring device in the first embodiment.

[0020] Figure 8 This is a flowchart for explaining an outline of the operation of the monitoring device in the first embodiment. DETAILED DESCRIPTION

[0021] The mode for implementing the present disclosure is described according to the accompanying drawings. In addition, in each figure, the same reference numerals are given to the same or corresponding parts. The repeated description of this part is appropriately simplified or omitted.

[0022] Implementation Method 1

[0023] Figure 1 This is a schematic diagram of an elevator apparatus to which the monitoring device in the first embodiment is applied.

[0024] exist Figure 1 In the elevator device 1, a shaft 2 passes through each floor of a building 3. A machine room 4 is provided just above the shaft 2. A traction machine 5 is provided in the machine room 4. A main rope 6 is wound around the traction machine 5. A car 7 is suspended on one side of the main rope 6 inside the shaft 2. A counterweight 8 is suspended on the other side of the main rope 6 inside the shaft 2.

[0025] The control device 9 is installed in the machine room 4. The control device 9 can control the entire elevator device 1. For example, the car 7 moves up and down according to the rotation of the traction machine 5. The control device 9 controls the rotation of the traction machine 5. That is, the car 7 is controlled by the control device 9.

[0026] The monitoring device 10 is installed in the machine room 4. The monitoring device 10 is electrically connected to the control device 9. The monitoring device 10 can monitor the state of the elevator device 1 based on the information obtained from the control device 9.

[0027] The information center device 11 is installed in a place separate from the building 3. For example, the information center device 11 is installed in a company that maintains the elevator device 1.

[0028] The monitoring device 10 is a device for communicating with the outside via the network 12. For example, the monitoring device 10 can communicate with the information center device 11 via the network 12. In the elevator device 1, the diagnostic operation is performed regularly. For example, the monitoring device 10 transmits data obtained by the diagnostic operation to the information center device 11 via the network 12.

[0029] For example, the monitoring device 10 receives power supply from a commercial power source (not shown). In addition, the monitoring device 10 has a battery 13 as a backup power source. The battery 13 is a secondary battery. In an emergency such as when the commercial power source fails, the battery 13 can supply power to the monitoring device 10. Normally, the battery 13 is basically fully charged by trickle charging from the commercial power source.

[0030] Furthermore, the monitoring device 10 includes a temperature sensor 14. The temperature sensor 14 measures the ambient temperature around the monitoring device 10. The ambient temperature around the monitoring device 10 can be regarded as the temperature near the battery 13. The ambient temperature around the monitoring device 10 can be regarded as the temperature of the battery 13. In addition, the temperature sensor 14 may be provided adjacent to the battery 13.

[0031] Generally, the battery 13 deteriorates over time. In this case, the capacity of the battery in a fully charged state, that is, the full charge capacity, decreases over time in the battery 13. When the full charge capacity is lower than a predetermined replacement threshold, the battery 13 needs to be replaced.

[0032] The monitoring device 10 monitors the full charge capacity based on the temperature measured by the temperature sensor 14 and the operating time that has passed since the battery 13 was installed. For example, the monitoring device 10 detects that the full charge capacity is lower than a warning threshold value that is larger than the replacement threshold value. In this case, the monitoring device 10 notifies the information center device 11 of a warning to promote the planned replacement of the battery 13. In addition, the monitoring device 10 then notifies the information center device 11 that the battery 13 should be replaced when it is detected that the full charge capacity is lower than the replacement threshold value.

[0033] Next, use Figure 2 The monitoring device 10 will be described.

[0034] Figure 2This is a block diagram of the monitoring device in the first embodiment.

[0035] like Figure 2 As shown, the monitoring device 10 includes a battery 13 as a power storage unit, a temperature sensor 14 as a measurement unit, a storage unit 15 , a communication unit 16 , a capture unit 17 , and a life monitoring unit 18 .

[0036] For example, the storage unit 15 is a storage medium such as RAM, ROM, flash memory, EPROM, EEPROM, etc. The storage unit 15 stores programs for realizing the functions of the monitoring device 10. The storage unit 15 stores information required for the operation of the monitoring device 10. The storage unit 15 stores information obtained from the control device 9.

[0037] The communication unit 16 is an interface for communication with the outside. The communication unit 16 can communicate with the control device 9. The communication unit 16 can communicate with the information center device 11 via the network 12.

[0038] The input unit 17 is a receiving plug for analog. The input unit 17 can input a signal from the temperature sensor 14. For example, the input unit 17 inputs an analog signal from the temperature sensor 14 as information on the measured temperature by analog-digital conversion. The input unit 17 samples the signal from the temperature sensor 14 at a predetermined period and inputs it as information on the measured temperature.

[0039] The sampling cycle of the acquisition unit 17 is arbitrarily set. For example, sampling is performed twice a day.

[0040] The arithmetic unit is provided in the monitoring device 10. The arithmetic unit has a processing circuit such as a processor. The processing circuit includes a program counter and a command register for controlling the operation. The processing circuit includes a general register and an adder for actually performing the operation. The processing circuit of the arithmetic unit realizes each function of the monitoring device 10 by executing a program stored in the storage unit 15.

[0041] The life monitoring unit 18 is a part of the functions of the computing unit. The life monitoring unit 18 includes an acquisition unit 20, a computing unit 21, a determination unit 22, and a prediction unit 23. The life monitoring unit 18 implements an algorithm for life correction of the battery 13 through the operation of each unit. In the algorithm for life correction, the monitoring period is set to the length of 1 cycle for calculation processing. That is, after the monitoring period has passed since the last calculation processing, the current calculation processing is performed by the life monitoring unit 18. The monitoring period can be set to an arbitrary period. For example, the monitoring period is 1 week. It is preferred that the monitoring period is shorter than 1 month.

[0042] The acquisition unit 20 acquires the information of the measured temperature from the input unit 17. In addition, the acquisition unit 20 may cause the input unit 17 to sample the signal from the temperature sensor 14 at a predetermined period. The acquisition unit 20 stores the information of the measured temperature in the storage unit 15. Every time the monitoring period passes, the acquisition unit 20 calculates the average value of the measured temperatures stored in the storage unit 15 to calculate the average temperature T. That is, the average temperature T is the average value of the temperature measured by the temperature sensor 14 during the monitoring period from the last calculation process to the current calculation process.

[0043] The calculation unit 21 performs various calculations in the algorithm of life correction. Specifically, the calculation unit 21 derives the life curve function from the following formula (1) which is a basic formula stored in the storage unit 15. The life curve function is a function that represents the relationship between the full charge capacity and the operating time of the battery 13.

[0044]

Mathematical formula 1

[0045]

[0046] The life curve function is a function that determines the full charge capacity Q. The full charge capacity is the same as the capacity retention rate of the battery 13. The closer the value of the full charge capacity Q is to 1, the longer the life of the battery 13 is. In formula (1), temperature T is the temperature of the battery 13. In this embodiment, temperature T corresponds to the average temperature T. The unit of temperature is [°C]. p is the operating time that has elapsed since the battery 13 was installed. p It is also simply expressed as H. A and B are constants specific to the type of battery 13.

[0047] Before installing the battery 13, a high temperature accelerated degradation test is performed on a battery of the same type as the battery 13. The values ​​of constants A and B are determined by the high temperature accelerated degradation test. When the battery 13 is installed, information on the values ​​of constants A and B is stored in the storage unit 15.

[0048] The calculation unit 21 substitutes constants A, B and temperature T into the formula (1) to thereby derive the life curve function. For example, in the i-th calculation process, the calculation unit 21 substitutes constants A, B and the i-th average temperature T into the formula (1): i , from which the i-th life curve function is derived.

[0049] The calculation unit 21 can calculate the full charge capacity Q corresponding to the operation time H by substituting the operation time H into the life curve function. In addition, the calculation unit 21 can calculate the corresponding operation time H by substituting the full charge capacity Q into the life curve function.

[0050] The calculation unit 21 substitutes the full charge capacity in the previous calculation process into the life curve function in the current calculation process, thereby calculating the virtual operation time H'. The virtual operation time H' is a virtual operation time calculated by substituting the full charge capacity of a value equal to the previous full charge capacity into the life curve function in the current calculation process. By substituting the value obtained by adding the monitoring period to the virtual operation time H' into the life curve function in the current calculation process, the current full charge capacity can be calculated as a result of the full charge capacity deteriorating at the average temperature from the previous calculation process to the current calculation process.

[0051] The calculation unit 21 calculates the current operation time by adding the previous operation time and the monitoring period. The calculation unit 21 generates information of the current correction point that associates the current operation time with the current full charge capacity, and stores it in the storage unit 15. The calculation unit 21 generates information of the correction point for each calculation process, and stores it in the storage unit 15.

[0052] The determination unit 22 determines whether the current full charge capacity is smaller than the warning threshold. The determination unit 22 determines whether the current full charge capacity is smaller than the replacement threshold. The determination unit 22 sends a notification to the information center device 11 via the communication unit 16 based on the determination result.

[0053] The prediction unit 23 derives a predicted life curve based on information of a plurality of calibration points stored in the storage unit 15. The prediction unit 23 calculates a predicted operating time when the predicted full charge capacity shown in the predicted life curve falls below a replacement threshold. The prediction unit 23 calculates a predicted remaining life, which is a period until the predicted operating time arrives.

[0054] Next, use Figure 3 to Figure 5 The algorithm of lifetime correction will be described.

[0055] Figure 3 to Figure 5 This is a graph for explaining the algorithm executed by the monitoring device in the first embodiment.

[0056] exist Figure 3 to Figure 5 A curve diagram showing the full charge capacity Q relative to the operating time H of the battery 13 is shown in FIG. The unit of the operating time H on the horizontal axis is [year]. The unit of the full charge capacity Q is [%], which is a percentage of the full charge capacity Q of the battery in a non-operating state as 100%. That is, it is a value obtained by using the right side of the percentage expression formula (1). In addition, the unit of the operating time H and the unit of the full charge capacity Q can correspond to the formula (1) and can be any unit. The straight line L representing the replacement threshold is shown in the curve diagram. A1 . For example, the replacement threshold is 32%.

[0057] like Figure 3As shown, in the algorithm of lifetime correction, first, the calculation unit 21 derives a reference lifetime curve L0. The reference lifetime curve L0 is a curve represented by a reference lifetime curve function obtained by substituting a reference temperature of 40°C into the formula (1).

[0058] Then, the life monitoring unit 18 calculates the correction point P at each predetermined period ΔH. The correction point P is represented by a tuple (H, Q) of the operating time H and the full charge capacity Q. The correction point P can be expressed as Figure 3 to Figure 5 Hereinafter, the i-th calculated correction point is also referred to as P i .H i and Q i Corresponding to P i .exist Figure 3 The middle figure shows the i-th correction point P i (H i , Q i ).

[0059] Although not shown in the figure, when calculating the first correction point P1, the calculation unit 21 substitutes the operating time H1 into the reference life curve function to calculate the full charge capacity Q1. For example, the operating time H1 is equal to ΔH. In addition, when calculating the first correction point P1, the calculation unit 21 may derive the first life curve function L1 based on the average temperature T1 measured in the monitoring period O1 from the start of operation to the calculation of the first correction point P1. In this case, the calculation unit 21 may substitute H1 into the first life curve function L1 to calculate Q1.

[0060] like Figure 4 As shown, the life monitoring unit 18 uses the last calibration point P stored in the storage unit 15. i The information of , calculates the i+1th correction point, which is the current correction point P i+1 .

[0061] First, the acquisition unit 20 obtains the value of the monitoring period O between the i-th operation and the i+1-th operation. i+1 The average temperature T of this time is calculated from the temperature measured inside i+1 The calculation unit 21 calculates the average temperature T i+1 Substitute it into the basic life curve function, and derive the current life curve function, i.e., the i+1th life curve function L i+1 .

[0062] Then, the calculation unit 21 derives the last virtual calibration point, that is, the i-th virtual calibration point P i Specifically, the computing unit 21 calculates the lifetime curve function L i+1 Substitute the last full charge capacity Q in i, and calculate the last virtual running time H i ′, derive the last virtual calibration point, i.e., the i-th virtual calibration point P i ′(H i ′,Q i ). That is, the i-th virtual correction point P i ′ is a point with the same i The same full charge capacity Q i The point on the i+1th life curve.

[0063] Then, the calculation unit 21 calculates the virtual operation time H i ' plus monitoring period O i+1 The length ΔH is obtained by i Substitute ′+ΔH into the life curve function L i+1 The full charge capacity of this time, i.e., the i+1th full charge capacity Q, is calculated. i+1 The calculation unit 21 calculates the last running time H i Add ΔH to get the i+1th running time H i+1 As the current operation time, the calculation unit 21 calculates the current calibration point P i+1 (H i+1 , Q i+1 ). The calculation unit 21 converts the current calibration point P i+1 The information is stored in the storage unit 15.

[0064] Then, the determination unit 22 determines that the full charge capacity Q i+1 is above the warning threshold.

[0065] in addition, Figure 4 The process shown can be viewed as making the connection point Pi′(H i ′,Q i ) and point (H i ′+ΔH,Q i+1 ) is moved parallel to the correction point P in the axial direction of the running time. i And derive the correction point P i ~P i+1 processing.

[0066] like Figure 5 As shown, after the period ΔH has passed, the life monitoring unit 18 calculates the i+2nd correction point P i+2 As the calibration point for this time. In this case, Figure 4 The operation shown is the same as that shown in FIG. 1 . The life monitoring unit 18 derives the average temperature T i+2 , life curve function L i+2 , virtual correction point P i+1 '、Full charge capacity Q i+2 and correction point Pi+2 At this time, the life monitoring unit 18 sets the i+1th correction point P i+1 As the last calibration point, H i+1 and Q i+1 The calculation is performed based on the last operating time and the last full charge capacity.

[0067] Next, use Figure 6 and Figure 7 The operation of notifying a warning and calculating the remaining life based on a plurality of calibration points will be described.

[0068] Figure 6 This is a graph showing a plurality of calibration points calculated by the monitoring device in the first embodiment. Figure 7 This is a graph showing a plurality of calibration points and a predicted life curve calculated by the monitoring device in the first embodiment.

[0069] exist Figure 6 An example of the result obtained by repeatedly performing the lifetime correction algorithm is shown in FIG. n The correction line L schematically shows a line segment connecting a plurality of correction points calculated by the lifetime correction algorithm. n It can be considered as a line obtained by correcting the reference life curve L0 according to the actual average temperature.

[0070] Point A1 is the calibration line L n The full charge capacity becomes the replacement threshold point. That is, point A1 is the correction line L n The straight line L representing the replacement threshold A1 The running time H corresponding to point A1 A1 This is the lifespan calculated using the lifespan correction algorithm.

[0071] Point A2 is the calibration line L n The full charge capacity becomes the point at which the warning threshold is reached. For example, the warning threshold is set to 40%. The operating time H corresponding to point A2 A2 The warning time is calculated by the life correction algorithm. For example, the running time H A1 With H A2 The difference is the measured remaining life. The measured remaining life is the delay period from when the monitoring device 10 issues a warning to urge replacement of the battery 13 to when the battery 13 reaches the end of its life.

[0072] Point B is the intersection of the reference life curve L0 and the straight line L A1 That is, the operating time corresponding to point B is the operating time that should be replaced if the life is predicted by the reference life curve L0. In this example, the operating time corresponding to point B is equal to the operating time H. A1That is, under the installation conditions of this example, the battery 13 can be used for about two years longer by monitoring based on the lifetime correction algorithm than based on the reference lifetime curve L0.

[0073] In addition, unlike this example, depending on the installation conditions of the monitoring device 10, the operation time H may be A2 The operating time is shorter than that corresponding to point B. In this case, the battery 13 is replaced at a safer replacement time.

[0074] exist Figure 7 The predicted life curve L is also shown in E . Prediction life curve L E This is an approximate curve calculated so that a predetermined fitting condition holds true for a plurality of calibration points.

[0075] For example, at the kth full charge capacity Q k If the life expectancy falls below the warning threshold, the determination unit 22 issues a warning. At this time, the prediction unit 23 starts to derive the predicted life expectancy curve L E processing.

[0076] In this process, first, the prediction unit 23 obtains the first to kth calibration points P1 to P2 stored in the storage unit 15. K The prediction unit 23 derives the function that satisfies Figure 7 The coordinate system shown in FIG. K The curve with the specified conditions such as the distance between the specified distance is set as the predicted life curve L E .

[0077] For example, the prediction unit 23 derives constants and coefficients such that predetermined conditions are satisfied for a function such as the formula (1), thereby deriving a predicted life curve L E In addition, the prediction unit 23 may derive the predicted life curve L by combining a trigonometric function, a power series function, etc. instead of using a function form such as equation (1). E .

[0078] The prediction unit 23 predicts the life curve L E Applied to multiple calibration points P1~P K Long area, derive the predicted life curve L E With straight line L A1 That is, the prediction unit 23 calculates the predicted life curve L E The predicted replacement operation time H at which the full charge capacity becomes the replacement threshold E The prediction unit 23 calculates the correction point P k The corresponding running time H kand the predicted replacement running time H E The difference is the predicted remaining life.

[0079] Then, the prediction unit 23 calculates the predicted replacement operation time H E The information of the predicted remaining life is notified to the information center device 11. For example, in the information center device 11, the predicted replacement operation time H is E The replacement plan of battery 13 is formulated based on the information of the battery and the information of the predicted remaining life.

[0080] Alternatively, the prediction unit 23 may derive the predicted life curve L at any time, not when the full charge capacity falls below the warning threshold. E and predicted replacement operation time H E In this case, the prediction unit 23 may use the first calibration point P1 to the latest calibration point P k Derive the predicted life curve L E .

[0081] Next, use Figure 8 The operation performed by the monitoring device 10 will be described.

[0082] Figure 8 This is a flowchart for explaining an outline of the operation of the monitoring device in the first embodiment.

[0083] For example, after setting up the monitoring device 10, start Figure 8 In step S01, the taking unit 17 waits until a predetermined sampling period has passed.

[0084] Next, in step S02 , the acquisition unit 17 acquires temperature information from the temperature sensor 14 .

[0085] Then, in step S03 , the life monitoring unit 18 determines whether or not a period ΔH has elapsed since the last calculation process.

[0086] When it is determined in step S03 that the period ΔH has not elapsed, the operations after step S01 are repeated.

[0087] If it is determined in step S03 that the period ΔH has elapsed, the operation of step S04 is performed. In step S04, the acquisition unit 20 calculates the average temperature T in the current monitoring period. i The calculation unit 21 calculates the average temperature T i Export the life curve function of this time.

[0088] Then, in step S05, the calculation unit 21 substitutes the last full charge capacity into the current life curve function to calculate the virtual operation time. The calculation unit 21 calculates the last virtual correction point.

[0089] Then, in step S06, the calculation unit 21 substitutes the sum of the virtual operation time and the monitoring period into the life curve function of this time, thereby calculating the full charge capacity of this time. The calculation unit 21 associates the operation time of this time with the full charge capacity of this time, and calculates the correction point of this time. The calculation unit 21 stores the information of the correction point of this time in the storage unit 15.

[0090] Then, in step S07 , the determination unit 22 determines whether the current full charge capacity is smaller than the warning threshold value.

[0091] When it is determined in step S07 that the current full charge capacity is the same as or larger than the warning threshold, the operations after step S01 are repeated.

[0092] If it is determined in step S07 that the current full charge capacity is smaller than the warning threshold, the operation of step S08 is performed. In step S08, the determination unit 22 determines whether the current full charge capacity is smaller than the replacement threshold.

[0093] If it is determined in step S08 that the full charge capacity of this time is the same as or greater than the replacement threshold, the operation of step S09 is performed. In step S09, the prediction unit 23 derives the predicted life curve function based on the plurality of calibration points stored in the storage unit 15. The prediction unit 23 calculates the predicted replacement operation time based on the predicted life curve function and the replacement threshold. The prediction unit 23 calculates the remaining life based on the predicted replacement operation time.

[0094] Then, in step S10, the determination unit 22 notifies the information center device 11 of information indicating the estimated remaining life and a warning to urge replacement. Then, the operations after step S01 are repeated.

[0095] If it is determined in step S08 that the current full charge capacity is smaller than the replacement threshold, the operation of step S11 is performed. In step S11, the determination unit 22 notifies the information center device 11 that the battery 13 should be replaced. Then, the operation after step S01 is repeated.

[0096] According to the first embodiment described above, the monitoring device 10 includes an acquisition unit 20, a calculation unit 21, and a determination unit 22. The monitoring device 10 derives the current life curve function based on the average temperature during the monitoring period. The monitoring device 10 calculates the current full charge capacity based on the current life curve function. At this time, the monitoring device 10 substitutes the last full charge capacity into the current life curve function, thereby calculating the virtual operation time corresponding to the last full charge capacity. The monitoring device 10 calculates the current full charge capacity based on the virtual operation time. The monitoring device 10 compares the current full charge capacity with the warning threshold. Therefore, the degradation state of the secondary battery as the battery 13 can be monitored more accurately. In particular, in the field of elevator devices, the environment in which the battery is placed varies from site to site. The monitoring device 10 can appropriately monitor the life of the battery in such an environment that varies from site to site. In addition, the warning is notified to the information center device 11, so that the maintenance company of the elevator device 1 can replace the battery 13 more reliably.

[0097] Furthermore, in the present embodiment, it is possible to calculate the full charge capacity with the same degree of accuracy as in the past with less calculation amount than in the past. Specifically, there has been a technology in the past that derives a life curve function based on a combination of the temperature around the secondary battery, the state of charge (SOC: State Of Charge), etc. However, when deriving the life curve function, it is necessary to perform complex calculations such as determining the best life curve function from multiple prepared life curve functions that serve as models. In the present embodiment, the monitoring device 10 uses a single model formula such as formula (1) to derive the life curve function. That is, it is possible to calculate the full charge capacity with the same degree of accuracy as these previous technologies and with less calculation amount than in the past.

[0098] In addition, the monitoring device 10 also has a prediction unit 23. The monitoring device 10 derives a predicted life curve function that makes the specified fitting condition hold for a plurality of calibration points. Here, the plurality of calibration points are points that correspond to the measured operating time and the full charge capacity calculated based on the average temperature in each calculation process. Therefore, a function that more accurately predicts the life can be derived.

[0099] Furthermore, the monitoring device 10 calculates the predicted operating time and the predicted remaining life, so that the information center device 11 can formulate a replacement plan for the battery 13 based on more accurate calculations.

[0100] Furthermore, the monitoring device 10 can also be applied to an elevator device that does not have a machine room and in which a control device and the like are installed inside a hoistway.

[0101] Furthermore, the monitoring device 10 may similarly operate to monitor the life of a secondary battery installed inside the hoistway 2 or inside the machine room 4 instead of the battery 13 .

[0102] Industrial Applicability

[0103] As described above, the monitoring device of the present disclosure can be utilized in an elevator device.

[0104] Description of symbols

[0105] 1: Elevator device; 2: Hoistway; 3: Building; 4: Machine room; 5: Traction machine; 6: Main rope; 7: Car; 8: Counterweight; 9: Control device; 10: Monitoring device; 11: Information center device; 12: Network; 13: Battery; 14: Temperature sensor; 15: Storage unit; 16: Communication unit; 17: Input unit; 18: Life monitoring unit; 20: Acquisition unit; 21: Calculation unit; 22: Determination unit; 23: Prediction unit; 40: Reference temperature; LE: Prediction life curve; Li: Life curve function; Ln: Correction line; Pi: Correction point.

Claims

1. A monitoring device connected to a control device for controlling an elevator car for communicating with the outside, wherein: The monitoring device comprises: an acquisition unit that calculates an average temperature, which is an average value of the measured temperatures during a monitoring period from a previous calculation process to a current calculation process, based on the measured temperature of the secondary battery measured by the temperature sensor; a calculation unit that derives a current life curve function representing a relationship between a full charge capacity and an operating time of the secondary battery based on the average temperature, and calculates the current full charge capacity based on the current life curve function; as well as The determination unit notifies a warning when the current full charge capacity calculated by the calculation unit is smaller than a warning threshold value.

2. The monitoring device according to claim 1, wherein: The calculation unit substitutes the last full charge capacity calculated in the last calculation process into the life curve function of this time, thereby calculating the virtual operation time corresponding to the last full charge capacity, and substitutes the sum of the virtual operation time and the monitoring period into the life curve function of this time, thereby calculating the full charge capacity of this time.

3. The monitoring device according to claim 2, wherein: The monitoring device further includes a prediction unit that derives a predicted life curve function that indicates a relationship between a predicted full charge capacity to be predicted and an operating time of the secondary battery, and calculates a predicted replacement operating time based on the predicted life curve function, the predicted replacement operating time being an operating time of the secondary battery when the predicted full charge capacity becomes a value equal to a replacement threshold value indicating that the secondary battery should be replaced. The calculation unit performs calculations to correspond the current operating time and the current full charge capacity according to each of the monitoring periods, thereby generating a plurality of correction points that correspond the operating time and the full charge capacity calculated by a plurality of calculation processes, wherein the current operating time is the sum of the previous operating time during which the previous calculation process was performed and the monitoring period, The prediction unit derives the predicted life curve function such that a predetermined fitting condition holds true for the plurality of correction points.

4. The monitoring device according to claim 3, wherein: The prediction unit calculates a predicted remaining life until the predicted replacement operation time when the determination unit determines that the current full charge capacity is smaller than the warning threshold value.

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