Elevator temperature estimation system

Abstract

Provided is an elevator temperature estimation system capable of more easily improving the accuracy of temperature estimation even in cases of thermal interference due to heating or cooling. In the temperature estimation system (8), an ambient temperature sensor (9) measures the ambient temperature of an elevator (1). A computation unit (11) performs a temperature estimation computation at a temperature estimation point by using the ambient temperature and control information of the elevator (1) as inputs. The control information, which has a causal relationship with transient heating or cooling, is input from a control device (7) of the elevator (1). The thermal model used in the temperature estimation computation is a thermal circuit model that includes an RC ladder and a thermal flow source. The parameters of the thermal model are identified ahead of time on the basis of the control information corresponding to the operating condition of the elevator (1) and the measured temperature at the temperature estimation point and the ambient temperature. The thermal flow source uses changes in the magnitude of the thermal flow to represent the temporal change in heating or cooling caused by equipment affecting the temperature estimation point, in accordance with the control information.

Description

Elevator temperature estimation system

[0001] The present disclosure relates to a temperature estimation system for an elevator.

[0002] Patent Document 1 discloses an example of an elevator control device. The control device predicts and calculates the temperature state of the elevator's components. Based on the predicted temperature state, the control device controls the elevator's operation so that the components are not overloaded.

[0003] International Publication No. 2005 / 030627

[0004] However, the elevator control device in Patent Document 1 estimates the temperature state of the inverter, which is a component of the elevator, using a transfer function model with the drive current as an input. Therefore, prediction accuracy may be reduced for equipment that is subject to thermal interference due to heat generation or cooling from the surroundings in addition to self-heating. On the other hand, using an advanced model such as the finite element method to improve prediction accuracy may require excessive calculation time and computing power.

[0005] The present disclosure is directed to solving such problems, and provides a temperature estimation system for elevators that can more easily improve the accuracy of temperature estimation even when there is thermal interference due to heat generation or cooling.

[0006] The temperature estimation system for an elevator according to the present disclosure comprises an elevator control device, an ambient temperature sensor that measures the ambient temperature of the elevator, and a calculation unit that performs a temperature estimation calculation at a preset temperature estimation point in the elevator based on a preset thermal model, wherein the temperature estimation calculation by the calculation unit is a calculation that takes as input the ambient temperature input from the ambient temperature sensor, parameters of the thermal model, and control information that is causally related to transient heat generation or cooling and is input from the control device, and outputs a time series of temperature fluctuations at the temperature estimation point as a calculation result, and the thermal model is an RC ladder and and a heat flow source, the parameters of the thermal model are identified in advance by a regression analysis method based on the control information according to the elevator operating conditions and the temperature of the temperature estimation point and the ambient temperature measured in a test conducted in advance under the operating conditions, the RC ladder includes thermal resistances and heat capacities connected in one or more dimensions and one or more stages by a Foster network or a Cauer network, and the heat flow source uses the control information as an argument and expresses the temporal change in the heat generation or cooling state of equipment that affects the temperature of the temperature estimation point by a change in the magnitude of the heat flow.

[0007] According to the elevator temperature estimation system of the present disclosure, it becomes possible to more easily improve the accuracy of temperature estimation even when there is thermal interference due to heat generation or cooling.

[0008] FIG. 1 is a configuration diagram of an elevator to which a temperature estimation system according to embodiment 1 is applied. FIG. 2 is a diagram showing an example of a thermal model of the temperature estimation system according to embodiment 1. FIG. 3 is a diagram showing an example of a thermal model of the temperature estimation system according to embodiment 1. FIG. 4 is a flowchart showing an example of the operation of the temperature estimation system according to embodiment 1. FIG. 5 is a hardware configuration diagram of a main part of the temperature estimation system according to embodiment 1. FIG. 6 is a configuration diagram of an elevator to which a temperature estimation system according to embodiment 2 is applied. FIG. 7 is a configuration diagram of an elevator to which a temperature estimation system according to embodiment 3 is applied.

[0009] The following describes embodiments of the subject matter of the present disclosure with reference to the accompanying drawings. In each drawing, identical or corresponding parts are designated by the same reference numerals, and redundant explanations are appropriately simplified or omitted. Note that the subject matter of the present disclosure is not limited to the following embodiments, and any component of the embodiments may be modified or omitted within the scope of the gist of the present disclosure.

[0010] First Embodiment Fig. 1 is a configuration diagram of an elevator to which a temperature estimation system according to a first embodiment is applied.

[0011] The elevator 1 is applied to a building having multiple floors. A hoistway 2 for the elevator 1 is provided in the building. The hoistway 2 is a vertically long space that spans the multiple floors of the building. The elevator 1 includes a hoisting machine 3, a main rope 4, a car 5, a counterweight 6, and a control device 7.

[0012] The hoist 3 has a sheave. The hoist 3 is a device having a function of generating torque to rotate the sheave. The hoist 3 includes, for example, a motor that generates the torque.

[0013] The main ropes 4 are wound around sheaves of the hoisting machine 3. The main ropes 4 support the load of the car 5 by suspending the car 5 in the hoistway 2. The main ropes 4 support the load of the counterweight 6 by suspending the counterweight 6 in the hoistway 2. The main ropes 4 may be, for example, strand ropes or belt ropes.

[0014] The car 5 and counterweight 6 travel in opposite directions in the hoistway 2 as the main ropes 4 move due to the rotation of the sheave of the hoisting machine 3. The car 5 is a device that transports passengers and the like between multiple floors by traveling up and down inside the hoistway 2. The counterweight 6 is a device that balances the load on the main ropes 4 between the car 5 and itself on both sides of the sheave of the hoisting machine 3. The car 5 and counterweight 6 travel up and down inside the hoistway 2 by being guided, for example, by a guide rail or the like (not shown).

[0015] The control device 7 is a device that controls the operation of the elevator 1. The control device 7 controls, for example, the running of the car 5 in response to a call. In this example, the running of the car 5 from when it departs from the departure floor to when it stops at the destination floor is considered one run of the car 5. The control device 7 also controls, for example, the opening and closing of doors provided on the car 5 of the elevator 1. The control device 7 holds control information related to the control of the elevator 1. The control information includes parameters causally related to one or both of the transient heat generation and cooling of each device constituting the elevator 1. The parameters may be continuous, discrete, or may represent one of multiple options. The control information includes discontinuous values ​​that represent the operating mode of the elevator 1, such as an inverter drive command signal, a fan drive command signal, a door open command signal, and a door close command signal. The control information includes continuous values, such as a motor current command value and a car speed command value. The inverter outputs a drive current to the hoisting machine 3, for example. The fan is, for example, a device that blows air to air-cooled equipment that makes up the elevator 1.

[0016] A temperature estimation system 8 is applied to the elevator 1. The temperature estimation system 8 is a system that estimates temperatures at predetermined temperature estimation points in the elevator 1 based on a predetermined thermal model. The temperature estimation points are points that correspond to equipment constituting the elevator 1 and are the subject of temperature estimation. The temperature estimation points may be points corresponding to equipment such as the control device 7 or the hoisting machine 3, or points corresponding to other equipment. The temperature estimation system 8 may be a system that estimates temperatures at multiple temperature estimation points. In this case, a thermal model may be set individually for each temperature estimation point. A plurality of temperature estimation points may be set for each piece of equipment constituting the elevator 1. The temperature estimation points may be set for some or all of the magnet temperature and winding temperature of a permanent magnet motor, the bearing temperature, the chip temperature and case temperature of a power semiconductor, the electrolytic capacitor temperature, or the battery temperature, for example.

[0017] The temperature estimation system 8 includes the control device 7 of the elevator 1. The temperature estimation system 8 is equipped with an ambient temperature sensor 9, a memory unit 10, and a calculation unit 11. Some or all of the functions of the memory unit 10 and the calculation unit 11 may be installed in a device external to the elevator 1, or may be installed in equipment such as the control device 7 of the elevator 1.

[0018] The ambient temperature sensor 9 is a sensor that measures the ambient temperature of the elevator 1. The ambient temperature of the elevator 1 represents the temperature of the operating environment in which the equipment constituting the elevator 1 operates, such as the temperature around the equipment. The ambient temperature sensor 9 is preferably installed in a position where it is less affected by local heat generation by the equipment constituting the elevator 1. The ambient temperature sensor 9 is installed, for example, below the control device 7. The ambient temperature sensor 9 measures the ambient temperature at the installed position. The temperature estimation system 8 may include multiple ambient temperature sensors 9 installed in different positions.

[0019] The memory unit 10 is a part equipped with a function for storing information. The memory unit 10 includes a parameter memory area 12 and a threshold memory area 13. The parameter memory area 12 is a memory area for storing parameters of a thermal model. The threshold memory area 13 is a memory area for storing temperature protection thresholds for equipment in the elevator 1. The temperature protection thresholds are temperature thresholds that are set in advance for each temperature estimation point in order to perform temperature protection for the equipment corresponding to the temperature estimation point.

[0020] The calculation unit 11 is a part equipped with a function for performing temperature estimation calculations at the temperature estimation points. The calculation unit 11 receives control information for the elevator 1 as input from the control device 7. The calculation unit 11 receives ambient temperatures measured by the ambient temperature sensors 9 as input from the ambient temperature sensors 9. The calculation unit 11 reads the parameters of the thermal model stored in the parameter storage area 12 of the storage unit 10. For example, as a temperature estimation calculation, the calculation unit 11 receives the control information for the elevator 1 and the parameters of the thermal model as input and calculates a temperature rise value at the temperature estimation point. The calculation unit 11 adds the calculated temperature rise value to the ambient temperature and outputs a time series of temperature fluctuations at the temperature estimation point as the calculation result.

[0021] The calculation unit 11 may perform the temperature estimation calculation sequentially in real time, or may perform the calculation intermittently, such as for each trip of the elevator 1 or after a certain period of time has elapsed. The frequency of the temperature estimation calculation by the calculation unit 11 may be set for each temperature estimation point depending on the thermal time constant of the equipment corresponding to the temperature estimation point. The frequency of the temperature estimation calculation by the calculation unit 11 is, for example, every few seconds to every few hours.

[0022] The calculation unit 11 compares the estimated temperature calculated for the temperature estimation point with the temperature protection threshold corresponding to the temperature estimation point. When the estimated temperature of the temperature estimation point exceeds the temperature protection threshold corresponding to the temperature estimation point, the calculation unit 11 outputs an alert signal to the control device 7 to apply operational protection to the equipment corresponding to the temperature estimation point. Here, the alert signal may be a signal instructing an emergency stop of the car 5, a signal instructing the car 5 to stop at the nearest floor, or a simple warning, depending on the severity of the incident caused by an abnormality in the equipment. When the alert signal is an instruction regarding the operation of the car 5, the control device 7 controls the operation of the elevator 1 in accordance with the instruction.

[0023] Next, the configuration of the thermal model of the temperature estimation system 8 will be described with reference to Fig. 2. Fig. 2A and Fig. 2B are diagrams showing examples of the thermal model of the temperature estimation system according to the first embodiment.

[0024] The thermal model is a thermal circuit model including an RC ladder 14 and a heat flow source 15. Figure 2A shows a thermal circuit model of a one-dimensional three-stage Foster network connection, and Figure 2B shows a thermal circuit model of a one-dimensional three-stage Cauer network connection.

[0025] The RC ladder 14 is composed of thermal resistances 16 and thermal capacitances 17 connected in a ladder shape. The RC ladder 14 is composed of a Foster network or a Cauer network. In the RC ladder 14, the thermal resistances 16 and thermal capacitances 17 are connected in one or more dimensions and in one or more stages. The resistance value of the thermal resistance 16 is expressed, for example, as a quantity in units of K / W. The capacitance value of the thermal capacitance 17 is expressed, for example, as a quantity in units of Ws / K. The heat flow rate of the heat flow source 15 is expressed, for example, as a quantity in units of W.

[0026] In this example, a thermal circuit model is set independently for each temperature estimation point. When there are multiple temperature estimation points, it is not necessary for each temperature estimation point to share a thermal circuit model. Having an independent thermal circuit model for each temperature estimation point simplifies each thermal model, thereby reducing calculation time. This also tends to increase the accuracy of temperature estimation. While a one-dimensional RC ladder 14 can often provide sufficiently high estimation accuracy for each thermal model, the RC ladder 14 may be expanded to two or more dimensions as needed.

[0027] In this example, the heat flow source 15 uses the control information of the elevator 1 as an argument and expresses the change over time in the heat generation or cooling state of the equipment that affects each temperature estimation point as a change in the magnitude of the heat flow. The heat flow source 15 expresses the change over time in the heat generation or cooling state of other equipment, such as equipment surrounding the equipment corresponding to the temperature estimation point, as a change in the magnitude of the heat flow. The heat flow source 15 is configured, for example, by an arbitrary function such as that expressed by the following equation (1).

[0028]

[0029] Here, t ｎ represents the time at the nth point in the time series. ｎ ) at time t ｎ represents the heat flow rate of the heat flow source 15 at x ｉ (t ｎ ) is the time t ｎ represents the value at ｊ represents the j-th parameter among the time-independent constant parameters of the thermal model.ｎ represents the temperature of the temperature estimation point at the nth time point in the time series. ｋ is the k-th function among the preset functions that constitute the model of the heat flow source 15. In this example, the model of the heat flow source 15 is a function f ｋ In this example, n, i, j, and k are natural numbers. The model of the heat flow source 15 may be a sum of three or less or five or more functions, or may be a combination such as a product or composition of multiple functions.

[0030] Each function f ｋ It is preferable that each function f is a function that does not accumulate errors over time. ｋ is preferably a function whose absolute value does not diverge to infinity as time passes. ｋ is, for example, the function f １ Each function f may be a function determined by a constant parameter. ｋ is, for example, the function f ２ For example, the control information x １ may be included in the arguments. ｋ is, for example, the function f ３ Each function f may include multiple constant parameters. ｋ is, for example, the function f ３ As such, the thermal model may include one or both of a first-order lag element and a dead time element. This allows the thermal model to more accurately represent the thermal behavior of the equipment of the elevator 1 even in cases where the temperature fluctuation responds with a delay to a change in the state of the elevator 1. In addition, each function f ｋ is, for example, the function f ４For example, the temperature at a past time may be used as an argument. This allows the thermal model to more accurately represent the thermal behavior of the equipment of the elevator 1, even when the time constants differ between the heating process and the cooling process. Note that, since the control information of the elevator 1 required to create a model of the heat flow source 15 differs depending on each temperature estimation point, the model formula of the heat flow source 15 will differ for each temperature estimation point.

[0031] In this way, the thermal model is based on the resistance value of the thermal resistor 16 and the capacitance value of the heat capacitance 17 of the RC ladder 14, and the parameter A of the heat flow source 15. ｊ The thermal model parameters include the following. These thermal model parameters are identified in a test conducted in advance. During the test, the elevator 1 is operated under a plurality of operating conditions. The thermal model parameters are identified for each temperature estimation point using a regression analysis method based on control information corresponding to these operating conditions, the temperatures at the temperature estimation points measured during the operation, and the ambient temperature of the elevator 1. Here, the resistance value of the thermal resistance 16 and the capacitance value of the thermal capacitance 17 of the RC ladder 14, which are model parameters, do not need to be directly related to the physical thermal resistance 16 and the thermal capacitance 17 of any of the equipment in the elevator 1. Furthermore, the model of the heat flow source 15 does not need to be directly related to the physical amount of heat generated in any of the equipment in the elevator 1.

[0032] Examples of calculation formulas sequentially calculated in the calculation unit 11 using a thermal model including the RC ladder 14 of a one-dimensional Foster network are shown in the following formulas (2) to (4).

[0033]

[0034]

[0035]

[0036] Here, t ｎ represents the time at the nth point in the time series. ｎ ) at time t ｎ represents the heat flow rate of the heat flow source 15 at R ｍrepresents the resistance value of the thermal resistor 16 at the m-th stage of the RC ladder 14. ｍ represents the capacity value of the heat capacity 17 at the m-th stage of the RC ladder 14. Ｃｍ (t ｎ ) is the heat capacity 17 at the m-th stage of the RC ladder 14 at time t ｎ represents the heat flow rate T(t ｎ ) at time t ｎ The temperature rise value T(t ｎ ) is the temperature difference T ｍ (t ｎ The temperature difference T ｍ is calculated using equation (2). In the calculation of equation (2), the previous time point t ｎ－１ The heat flow rate P flowing through the heat capacity 17 is Ｃｍ (t ｎ－１ ) is required. This heat flow P Ｃｍ (t ｎ－１ ) at time t ｎ At time t before the calculation of ｎ－１ When calculating , it is calculated in advance using equation (3).

[0037] Next, an example of the operation of the temperature estimation system 8 will be described with reference to Fig. 3. Fig. 3 is a flowchart showing an example of the operation of the temperature estimation system according to the first embodiment.

[0038] In step S1, the ambient temperature sensor 9 measures the ambient temperature of the elevator 1. Thereafter, the processing of the temperature estimation system 8 proceeds to step S2.

[0039] In step S2, the control device 7 outputs the control information of the elevator 1 to the calculation unit 11. After that, the processing of the temperature estimation system 8 proceeds to step S3.

[0040] In step S3, the calculation unit 11 calculates the temperature rise value at the temperature estimation point using a thermal model based on the control information. Thereafter, the processing of the temperature estimation system 8 proceeds to step S4.

[0041] In step S4, the calculation unit 11 adds the temperature rise value to the ambient temperature to estimate the temperature at the temperature estimation point. The calculation unit 11 outputs the estimated temperature as time-series data to, for example, the control device 7. Thereafter, the processing of the temperature estimation system 8 proceeds to step S5.

[0042] In step S5, the calculation unit 11 determines whether the estimated temperature at the temperature estimation point exceeds the temperature protection threshold corresponding to the temperature estimation point. If it is determined that the estimated temperature exceeds the temperature protection threshold, the processing of the temperature estimation system 8 proceeds to step S6. On the other hand, if it is determined that the estimated temperature does not exceed the temperature protection threshold, the processing of the temperature estimation system 8 proceeds to step S1.

[0043] In step S6, the calculation unit 11 outputs an alert signal to the control device 7. The control device 7 controls the elevator 1 based on the alert signal. After that, the processing of the temperature estimation system 8 proceeds to step S1.

[0044] As described above, the temperature estimation system 8 according to the first embodiment includes the control device 7 of the elevator 1, the ambient temperature sensor 9, and the calculation unit 11. The ambient temperature sensor 9 measures the ambient temperature of the elevator 1. The calculation unit 11 performs a temperature estimation calculation for a preset temperature estimation point in the elevator 1 based on a preset thermal model. In the temperature estimation calculation, the calculation unit 11 receives the ambient temperature input from the ambient temperature sensor 9, thermal model parameters, and control information causally related to transient heat generation or cooling input from the control device 7. In the temperature estimation calculation, the calculation unit 11 outputs a time series of temperature fluctuations at the temperature estimation point as a calculation result. The thermal model is a thermal circuit model including the RC ladder 14 and the heat flow source 15. The parameters of the thermal model are identified in advance by a regression analysis method based on the control information corresponding to the operating conditions of the elevator 1 and the temperature and ambient temperature at the temperature estimation point measured in a test conducted in advance under the operating conditions. The RC ladder 14 includes thermal resistances 16 and thermal capacitances 17 connected in one or more dimensions and at one or more stages by a Foster network or a Cauer network. The heat flow source 15 uses control information as an argument to express the temporal change in the heat generation or cooling state of the equipment that affects the temperature of the temperature estimation point by the change in the magnitude of the heat flow.

[0045] With this configuration, the temperature estimation system 8 estimates the temperature of the temperature estimation point using a thermal model including the RC ladder 14 and the heat flow source 15. Temporal changes in the heat generation or cooling of surrounding equipment are represented by changes in the magnitude of the heat flow from the heat flow source 15. This improves the accuracy of the temperature estimation at the temperature estimation point without using advanced models such as the finite element method. In particular, even when the structural function of the equipment changes over time, such as when a cooling fan that cools the equipment corresponding to the temperature estimation point is switched on and off over time, the accuracy of the temperature estimation at the temperature estimation point can be improved by changes in the heat flow via the control information. Furthermore, because the thermal model is composed of the RC ladder 14, the required calculation time and computing power are not excessive. This allows the temperature of the temperature estimation point to be estimated in a short time through simple calculations, enabling low-cost, continuous, real-time temperature estimation. The temperature estimation results can be used for various applications in the maintenance and management of the elevator 1, such as estimating the lifespan of each piece of equipment based on its operating temperature to plan maintenance and replacement, or using the operating temperature of each piece of equipment for quality control.

[0046] The thermal model also includes at least one of a first-order lag and a dead time element in the heat flow source 15 .

[0047] With this configuration, the prediction accuracy of the temperature estimation at the temperature estimation point can be improved even in cases where the influence of heat generation or cooling from surrounding equipment is greater than the self-heating of the equipment corresponding to the temperature estimation point, and the temperature change lags behind the change in control information.

[0048] Furthermore, the heat flow source 15 of the thermal model includes an element that takes the temperature of the temperature estimation point as an argument.

[0049] With this configuration, even when the time constant of the heating process and the time constant of the cooling process are different, the prediction accuracy of the temperature estimation at the temperature estimation point can be improved.

[0050] In addition, when the estimated temperature value at the temperature estimation point exceeds a temperature protection threshold preset for the equipment of the elevator 1, the calculation unit 11 outputs an alert signal to the control device 7 to protect the operation of the equipment.

[0051] With this configuration, the results of temperature estimation at the temperature estimation point can be used to provide advanced sensorless temperature protection for the equipment corresponding to the temperature estimation point, without the need for a sensor that directly measures the temperature at the temperature estimation point.

[0052] Next, an example of the hardware configuration of the temperature estimation system 8 will be described with reference to Fig. 4. Fig. 4 is a hardware configuration diagram of the main part of the temperature estimation system according to the first embodiment.

[0053] Each function of the temperature estimation system 8 may be realized by a processing circuit. The processing circuit includes at least one processor 100 a and at least one memory 100 b. The processing circuit may include at least one dedicated hardware 200 in addition to or in place of the processor 100 a and the memory 100 b.

[0054] When the processing circuit includes a processor 100a and a memory 100b, the functions of the temperature estimation system 8 are realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. The program is stored in the memory 100b. The processor 100a realizes the functions of the temperature estimation system 8 by reading and executing the program stored in the memory 100b.

[0055] The processor 100a is also called a CPU (Central Processing Unit), processing unit, arithmetic unit, microprocessor, microcomputer, or DSP. The memory 100b is composed of non-volatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, or EEPROM.

[0056] Where the processing circuitry comprises dedicated hardware 200, the processing circuitry may be implemented, for example, as a single circuit, multiple circuits, a programmed processor, parallel programmed processors, an ASIC, an FPGA, or a combination thereof.

[0057] Each function of the temperature estimation system 8 can be realized by a processing circuit. Alternatively, each function of the temperature estimation system 8 can be realized collectively by a processing circuit. Some of the functions of the temperature estimation system 8 may be realized by dedicated hardware 200, and the other parts may be realized by software or firmware. In this way, the processing circuit realizes each function of the temperature estimation system 8 by dedicated hardware 200, software, firmware, or a combination of these.

[0058] Embodiment 2 In Embodiment 2, differences from the example disclosed in Embodiment 1 will be described in particular detail. For features not described in Embodiment 2, any of the features of the example disclosed in Embodiment 1 may be adopted.

[0059] FIG. 5 is a configuration diagram of an elevator to which the temperature estimation system according to the second embodiment is applied.

[0060] The temperature estimation system 8 includes a generation unit 18. Here, some or all of the functions of the memory unit 10, the calculation unit 11, and the generation unit 18 may be installed in an external device of the elevator 1, or may be installed in equipment such as the control device 7 of the elevator 1.

[0061] The generation unit 18 is a part equipped with a function for generating control information for each run of the car 5 of the elevator 1 before the run. The generation unit 18 receives input of run information including the current floor and destination floor of the car 5 from the control device 7 immediately before the car 5 starts running. Based on the run information, the generation unit 18 generates control information for one run when the run is performed at each of a plurality of preset rated speeds before the run. The generation unit 18 outputs the control information generated for each rated speed to the calculation unit 11.

[0062] The calculation unit 11 estimates the temperature at the temperature estimation point when the car 5 runs at each rated speed, based on the control information generated for each rated speed by the generation unit 18. The calculation unit 11 outputs to the control device 7 the fastest rated speed among the multiple rated speeds at which the estimated temperature does not exceed the temperature protection threshold corresponding to the temperature estimation point.

[0063] The control device 7 controls the car 5 to travel from the current floor to the destination floor based on the rated speed input from the calculation unit 11 .

[0064] With this configuration, the estimated temperatures for multiple rated speeds are compared with the temperature protection threshold, and then the car 5 travels based on the selected rated speed. As a result, even if the temperature of the equipment becomes high, the travel speed is reduced within a range that does not trigger temperature protection for the equipment that makes up the elevator 1, allowing the elevator 1 to continue providing service.

[0065] Embodiment 3. In embodiment 3, differences from the examples disclosed in embodiment 1 or embodiment 2 will be described in particular detail. Features not described in embodiment 3 may be any of the features of the examples disclosed in embodiment 1 or embodiment 2.

[0066] FIG. 6 is a configuration diagram of an elevator to which the temperature estimation system according to the third embodiment is applied.

[0067] The temperature estimation system 8 includes a gateway 19 and a data server 20 .

[0068] The gateway 19 is a device that can be connected to a public network such as the Internet or a telephone network. The gateway 19 is provided in, for example, a building to which the elevator 1 is applied. The gateway 19 is connected to, for example, the calculation unit 11.

[0069] The data server 20 is a server equipped with a function for accumulating and storing data about the elevator 1. The data server 20 is an example of a storage unit. The data server 20 may be configured, for example, by one or more server devices. The data server 20 may be constructed on a cloud service. The data server 20 is provided, for example, outside the building to which the elevator 1 is applied. The data server 20 is connected to the gateway 19, for example, via a public line network.

[0070] The calculation unit 11 uploads the estimated temperature for each temperature estimation point to the data server 20 via the gateway 19. The data server 20 accumulates and stores the time-series history of the estimated temperature for each temperature estimation point uploaded from the calculation unit 11 for a long period of time.

[0071] With this configuration, it becomes possible to estimate the lifespan of each device from the operating temperature of the device stored in the data server 20, thereby making it possible to plan maintenance and replacement, and to perform quality control of the device from the operating temperature of the device.

[0072] When the estimated temperature is used for purposes such as planning maintenance and replacement, the temperature estimation does not necessarily have to be performed in real time. In this case, some or all of the functions of the calculation unit 11 and the storage unit 10 may be installed in the data server 20. In this case, the calculation unit 11 acquires information such as control information for the elevator 1 and measured values ​​of the ambient temperature from the control device 7, for example, via the gateway 19.

[0073] The temperature estimation system according to the present disclosure can be applied to elevators.

[0074] DESCRIPTION OF SYMBOLS 1 Elevator, 2 Hoistway, 3 Hoisting machine, 4 Main rope, 5 Cage, 6 Counterweight, 7 Control device, 8 Temperature estimation system, 9 Ambient temperature sensor, 10 Memory unit, 11 Calculation unit, 12 Parameter memory area, 13 Threshold memory area, 14 RC ladder, 15 Heat flow source, 16 Thermal resistance, 17 Heat capacity, 18 Generation unit, 19 Gateway, 20 Data server, 100a Processor, 100b Memory, 200 Dedicated hardware

Claims

1. An elevator control device; an ambient temperature sensor for measuring the ambient temperature of the elevator; A calculation unit that performs a temperature estimation calculation of a temperature estimation point that is set in advance in the elevator based on a preset thermal model; Equipped with the temperature estimation calculation by the calculation unit is a calculation that receives as input the ambient temperature input from the ambient temperature sensor, parameters of the thermal model, and control information that is causally related to transient heat generation or cooling and is input from the control device, and outputs a time series of temperature fluctuations at the temperature estimation point as a calculation result; the thermal model is a thermal circuit model including an RC ladder and a heat flow source; the parameters of the thermal model are identified in advance by a regression analysis method based on the control information corresponding to an elevator operation condition, and the temperature of the temperature estimation point and the ambient temperature measured in a test under the operation condition that is previously performed; The RC ladder includes thermal resistances and thermal capacitances connected in one or more dimensions and in one or more stages by a Foster network or a Cauer network, The heat flow source uses the control information as an argument to express a change over time in a heat generation state or a cooling state of a device that affects the temperature of the temperature estimation point by a change in a magnitude of a heat flow rate. Elevator temperature estimation system.

2. The thermal model includes at least one element of a first-order lag and a dead time in the heat flow source. The elevator temperature estimation system according to claim 1.

3. The heat flow source of the thermal model includes an element that takes a temperature as an argument. The elevator temperature estimation system according to claim 1 or 2.

4. The calculation unit outputs an alert signal to the control device to protect the operation of the elevator equipment when the estimated temperature at the temperature estimation point exceeds a temperature protection threshold preset for the elevator equipment. The elevator temperature estimation system according to claim 1 or 2.

5. a generating unit that generates, before each elevator run, the control information for each run performed at a plurality of preset rated speeds based on information including a current floor and a destination floor of the elevator car input from the control device; Equipped with the calculation unit estimates temperatures at the temperature estimation points when the traveling is performed at each of the multiple rated speeds based on the control information when the traveling is performed at each of the multiple rated speeds input from the generation unit, and outputs to the control device the fastest rated speed among the multiple rated speeds at which the estimated temperature does not exceed the temperature protection threshold; The control device executes the traveling based on the rated speed input from the calculation unit. The elevator temperature estimation system according to claim 4.

6. A storage unit that stores the temperature of the temperature estimation point estimated by the calculation unit. The elevator temperature estimation system according to claim 1 or 2, comprising: