CN115667112A - Fee calculation device, fee calculation method, and fee calculation program - Google Patents
Fee calculation device, fee calculation method, and fee calculation program Download PDFInfo
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- CN115667112A CN115667112A CN202080101435.9A CN202080101435A CN115667112A CN 115667112 A CN115667112 A CN 115667112A CN 202080101435 A CN202080101435 A CN 202080101435A CN 115667112 A CN115667112 A CN 115667112A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B3/00—Applications of devices for indicating or signalling operating conditions of elevators
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0012—Devices monitoring the users of the elevator system
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
A fee calculation device (100) is provided with an action indexing unit (140) and a fluctuating fee calculation unit (160). A behavior index section (140) calculates a behavior index obtained by indexing a detected behavior detected as a behavior detection, which is a behavior of a person using an elevator using the elevator. A variable cost calculation unit (160) acquires variable cost data, which is electronic data indicating information used when calculating variable costs that are maintenance costs that vary according to the utilization behavior, and calculates a variable cost corresponding to the detected behavior using the behavior index and the variable cost data.
Description
Technical Field
The invention relates to a fee calculation device, a fee calculation method and a fee calculation program.
Background
There is a technique of calculating the maintenance cost of an elevator in consideration of the use situation of the elevator. Patent document 1 discloses the following technique: the maintenance cost is calculated based on information on the operation frequency of the elevator and the demand of the user of the elevator.
Documents of the prior art
Patent document
Patent document 1: japanese patent No. 4045074
Disclosure of Invention
Problems to be solved by the invention
The cost required for maintaining the elevator varies according to the use of the elevator user. Therefore, it is preferable to consider calculating the maintenance cost by using the behavior. However, the technique of patent document 1 does not consider calculation of maintenance cost using a behavior.
The purpose of the present invention is to calculate a maintenance cost corresponding to a user's use behavior of an elevator.
Means for solving the problems
The fee calculation device of the present invention includes: a lift indexing unit that calculates a lift index obtained by indexing a detected lift detected by using a lift of a person using an elevator using the elevator; and a change charge calculation unit that acquires change charge data that is electronic data indicating information used to calculate a change charge, and calculates a change charge corresponding to the detected behavior using the behavior index and the change charge data, the change charge being at least a part of a charge required for maintaining the elevator and being a charge that changes in accordance with the usage behavior.
Effects of the invention
According to the present invention, the behavior indexing unit calculates the behavior index corresponding to the usage behavior, and the fluctuation cost calculation unit calculates the fluctuation cost using the behavior index. The change fee may also be used to calculate maintenance fees.
Therefore, according to the present invention, the fee calculation means can calculate the maintenance fee based on the behavior of the user.
Drawings
Fig. 1 is a configuration example of a fee calculation system 90 according to embodiment 1.
Fig. 2 is an example of the data for changing the fee according to embodiment 1.
Fig. 3 is a table illustrating calculation of the behavior index by the fee calculating device 100 according to embodiment 1.
Fig. 4 is a flowchart showing the operation of the fee calculation device 100 according to embodiment 1.
Fig. 5 is a diagram illustrating an operation of the fee calculation device 100.
Fig. 6 is a configuration example of the fee calculation device 100 according to the modification of embodiment 1.
Fig. 7 shows an example of the hardware configuration of the fee calculation device 100 according to the modification of embodiment 1.
Detailed Description
In the description of the embodiments and the drawings, the same elements and corresponding elements are denoted by the same reference numerals. The description of elements denoted by the same reference numerals is omitted or simplified as appropriate. The arrows in the figure primarily represent data flow or processing flow.
Embodiment mode 1
The present embodiment will be described in detail below with reference to the drawings.
* Description of the Structure
Fig. 1 shows a configuration example of a fee calculation system 90 according to the present embodiment. As shown in the figure, the fee calculation system 90 includes a fee calculation device 100, a video DB (Database) 210, an operation DB220, a reference fee DB230, and a variable fee DB240.
The video DB210, the operation DB220, the reference fee DB230, and the variable fee DB240 are connected to the fee calculation device 100 via the network 91.
The respective elements of the fee calculating system 90 may be configured integrally as appropriate, or may be configured separately as appropriate.
The network 91 is a communication network. As a specific example, the network 91 is the internet.
The video DB210 stores video data. The image data is electronic data in which an elevator image and information on the date and time at which the elevator image was taken are associated with each other. Elevators are sometimes also referred to as elevators. The elevator image is an image obtained by shooting an elevator. Specifically, the elevator image is an image of a monitoring camera installed in a car or an elevator hall, or a combination of these images. Unless otherwise specified, the car refers to an elevator car. The elevator video may be a moving image or a still image having 1 or more frames.
The operation DB220 stores operation data. The operation data is electronic data in which the operation information and information on the date and time at which the operation information was acquired are associated with each other. The operation information indicates the operation condition of the elevator. Specifically, the operation information is information indicating whether the car is ascending, descending, or stopped, information indicating torque when the door is opened or closed, information indicating a scale value in the car while the car is ascending or descending, information indicating an operation history of the button, information indicating a pressure when the button is pressed, or information combining at least 2 of these.
As a specific example, the operation information is information obtained by a sensor provided in the elevator or a control command of a computer controlling the elevator.
The reference fee DB230 stores reference fee data. The reference charge data represents a reference charge. The benchmark fee is at least a portion of the maintenance fee and is a standard fee for the maintenance fee. The reference cost is a cost determined according to the properties of the elevator. The maintenance costs are the costs required for maintaining the elevator. Typically, the maintenance fee is a fee paid by the owner of the elevator or the like to a maintenance company or the like. A maintenance company is a company that maintains or manages elevators. In the case where the utilization behavior is a standard behavior, the maintenance cost may be a reference cost.
The reference charge DB230 may store reference charges according to the properties of the elevator. The properties of an elevator are information representing the characteristics of the elevator. Specifically, the properties of the elevator include the type of the elevator, the size of the car, the length of the cable of the elevator, the installation date and year of the elevator, and information on the building in which the elevator is installed. The reference cost may vary depending on the usage state of the elevator, such as the number of years or times of use of the elevator.
The elevator user uses the elevator to use the lifting. A utilization behavior is an action associated with an elevator user utilizing an elevator. An elevator user is a person who uses an elevator. The elevator user may include a person riding in the elevator, a person managing the elevator, or a user other than a person such as a robot or an animal.
As specific examples, the use of the method includes a passing method when staying in the car and a pressing method of operating a button of the elevator. The use of the stopping may include actions other than actions of elevator users during operation of the elevator, such as cleaning of a car or an elevator hall.
The maintenance company or the like calculates the maintenance cost using the cost calculation device 100 and requests the owner of the elevator or the like for the maintenance cost. The maintenance company may change the maintenance fee every time the contract for maintaining the elevator is updated, or may change the maintenance fee for a certain period of time in accordance with the usage stop during the contract period.
The variable fee DB240 stores variable fee data. The variable cost data is electronic data indicating information used for calculating the variable cost. The change cost is a part of the maintenance cost, and is a cost that changes according to the use behavior. The change fee may be 0 or a negative value. Typically, the fluctuation cost becomes high when the frequency of bad use behavior is high, and the fluctuation cost becomes low when the frequency of good use behavior is high.
As specific examples, the poor use behavior is that the frequency of cleaning the car or the elevator hall is low, the elevator user sandwiches an article in the gap of the elevator door to make the opening and closing of the elevator door difficult, the elevator user shakes the car, or the elevator user strongly presses a button provided in the elevator. The charge calculation device 100 may determine that the car is contaminated when there is a difference of at least a certain value between the image of the car at the time of installation of the elevator and the image of the car thereafter.
The fee calculating means 100 analyzes the utilization behavior that affects the maintenance fee.
The base costs and the change costs may also depend on the nature of the elevator.
Fig. 2 shows an example of the data for changing the fee. The data for changing the fee will be described with reference to this drawing. This figure includes data for calculating data used by the fluctuating fee calculating unit 160. The data for the changed charge may be generated by summing up information obtained from a plurality of elevators.
The data for changing the cost may be associated with each group corresponding to an attribute such as a specification of the elevator. In this case, as a specific example, after the elevators are grouped, the data for the fluctuating fee is calculated for each group. Specifically, the specification of the elevator is the model of the elevator or the model of the elevator door.
The column "information on the behavior index" shows the occurrence of a phenomenon corresponding to each behavior index.
The "item name" column shows the name of the item corresponding to the suspension index. The "number of times of occurrence of burst vibration" is the number of times of occurrence of vibration that does not occur at the time of normal operation. The "door collision occurrence number" is the number of times an object or the like collides with the elevator door. The "degree of contamination in the car" is an index indicating contamination in the car.
The "accumulated value" column shows a value obtained by accumulating the items shown in the "item name" column. When the number of occurrences of a certain phenomenon is shown in the "item name" column, the cumulative value is the total number of occurrences. When the column of "project name" indicates the degree of contamination in the car, as a specific example, the integrated value is obtained by integrating the number of days in which the degree of contamination in the car is a certain degree or more.
The "information about an abrupt failure" column is information indicating details of maintenance cost and the like corresponding to an abrupt failure. The sudden failure is a phenomenon that a maintenance company such as an elevator sudden failure needs to take measures other than regular maintenance of the elevator. The burst failure may be a failure due to a utilization stop.
In this table, information indicating "total maintenance cost" and details of the sudden failure are described in the "information about sudden failure" column.
The column "maintenance cost per 1 unit of the lifting index" shows the cost required for maintenance per 1 unit of the lifting index. That is, the numerical value in this column is obtained by dividing the value in the "accumulated value" column by the value in the "total maintenance cost" column. The 1 unit may indicate that 1 time has occurred, or may indicate that 1 day is a day in which the degree of contamination in the car is a certain degree or more.
The column "reference value" shows the value of the reference behavior index. As a specific example, when a certain behavior index corresponding to a certain elevator is a value shown in the column of "reference value", the fluctuation cost becomes 0. If the behavior index is larger than the value shown in the column "reference value", the fluctuation cost becomes a positive value. If the behavior index is smaller than the value indicated in the "reference value" column, the fluctuation cost becomes a negative value. The change fee may be a value appropriately determined within a certain range.
As a specific example, the fluctuating fee calculating unit 160 calculates the fluctuating fee using the values in the column "maintenance cost per 1 unit of the behavior index" and "reference value".
Specifically, the fluctuation fee corresponding to a certain behavior index is a value obtained by multiplying a value indicated by "maintenance cost per 1 unit of behavior index" by a value obtained by subtracting a value indicated in the column of "reference value" from the behavior index.
The fee calculating means 100 is constituted by a computer. The fee calculating device 100 may be constituted by a plurality of computers.
As shown in the figure, the fee calculation apparatus 100 is a computer having hardware such as a processor 11, a memory 12, an auxiliary storage device 13, an input IF (Interface) 14, an output IF15, and a communication device 16. These hardware are connected to each other via a signal line 19.
The processor 11 is an IC (Integrated Circuit) that performs arithmetic processing, and controls hardware provided in the computer. As specific examples, the Processor 11 is a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or a GPU (Graphics Processing Unit).
The fee calculation means 100 may also have a plurality of processors instead of the processor 11. The plurality of processors share the role of the processor 11.
Typically, the memory 12 is a volatile memory device. The memory 12 is also referred to as a main storage device or main memory. Specifically, the Memory 12 is a Random Access Memory (RAM). The data stored in the memory 12 is stored in the auxiliary storage device 13 as needed. Unless otherwise specified, data refers to electronic data.
Typically, the secondary storage device 13 is a non-volatile storage device. Specifically, the auxiliary storage device 13 is a ROM (Read Only Memory), an HDD (Hard Disk Drive), or a flash Memory. The data stored in the auxiliary storage device 13 is loaded into the memory 12 as needed.
The memory 12 and the auxiliary storage device 13 may be integrally formed.
The input IF14 is a port to which an input device is connected. Specifically, the input IF14 is a USB (Universal Serial Bus) terminal. The device user may also input information to the fee calculation device 100 using an input device. The device user is a person who uses the fee calculation device 100. Specifically, the input device is a keyboard and a mouse.
The output IF15 is a port to which an output device is connected. Is a USB terminal or an HDMI (High-Definition Multimedia Interface) terminal. The output device outputs the information received from the fee calculation device 100. Specifically, the output device is an LCD (liquid crystal display).
The communication device 16 is a receiver and a transmitter. Specifically, the communication device 16 is a communication chip or an NIC (Network Interface Card).
The input IF14, the output IF15, and the communication device 16 may be used as appropriate by each unit of the fee calculation device 100.
The auxiliary storage device 13 stores a fee calculation program. The fee calculation program is a program for causing a computer to realize the functions of each unit included in the fee calculation device 100. The fee calculation program may be composed of a plurality of files. The fee calculation program is loaded into the memory 12 and executed by the processor 11. The functions of each unit of the fee calculating device 100 are realized by software.
Data used when the fee calculation program is executed, data obtained by executing the fee calculation program, and the like are appropriately stored in the storage device. The storage device is suitably used for each part of the fee calculation device 100. Specifically, the storage device is configured by at least one of the memory 12, the auxiliary storage device 13, a register in the processor 11, and a cache memory in the processor 11. In addition, data and information may have the same meaning. The storage device may also be computer independent.
The functions of the memory 12 and the auxiliary storage device 13 may be implemented by other storage devices, respectively.
The fee calculation program may be recorded on a computer-readable nonvolatile recording medium. Specifically, the nonvolatile recording medium is an optical disc or a flash memory. The fee calculation program may also be provided as a program product.
As shown in fig. 1, the charge calculation device 100 includes, as functional components, an elevator information acquisition unit 110, a video analysis unit 120, an operation analysis unit 130, an action indexing unit 140, a reference charge acquisition unit 150, a change charge calculation unit 160, a maintenance charge calculation unit 170, and a maintenance charge output unit 180.
The elevator information acquisition unit 110 acquires elevator information. Elevator information is information representing the nature of an elevator.
The elevator information acquiring unit 110 may acquire elevator information from an elevator, or may use elevator information stored in a storage device.
The video analysis unit 120 acquires video data from the video DB210, and calculates video feature values using the acquired video data. The video feature amount is a feature amount indicating a feature of video data. The image feature amount may also represent an image feature. The image feature is a feature that uses behavior and is shown in the image data. When the video data includes a behavior video, the video feature value represents a feature of the usage behavior indicated by the video data. The action image is an image obtained by photographing the elevator and includes information corresponding to the use of the action. The image analysis unit 120 may collectively analyze image data acquired within a certain time period. The time period may also be a certain time instant.
Specifically, the image analysis unit 120 calculates the image feature amount by analyzing the image using a machine learning method. The image analysis unit 120 may analyze the image using a learned model generated by using the image data and the classification by behavior. The image analysis unit 120 may change the learned model to be used based on the elevator information. The image analysis unit 120 may process the image data using the elevator information.
The operation analysis unit 130 acquires operation data from the operation DB220, and calculates an operation feature amount using the acquired operation data. The operation feature amount is a feature amount representing a feature of the operation data. The operation characteristic amount may also indicate an operation characteristic. The operational characteristics are characteristics that utilize the behavior and are characteristics that the operational data shows. When the operation data includes a behavior state, the operation characteristic amount indicates a characteristic of the utilization behavior indicated by the operation data. The behavior is an operation state of the elevator and includes information corresponding to the use of the behavior. The operation analysis unit 130 may collectively analyze the operation data acquired in a certain time period.
The operation analysis unit 130 may analyze the operation data using a learned model generated by using the operation data and the classification by behavior. The operation analysis unit 130 may change the learned model to be used based on the elevator information. The operation analysis unit 130 may process the operation data using the elevator information.
The behavior indexing unit 140 calculates an image behavior characteristic, which is a behavior characteristic indicated by the image characteristic amount, and an operation behavior characteristic, which is an operation characteristic indicated by the operation characteristic amount. The behavior feature is a feature of utilizing behavior for a certain period of time. The behavior feature may be a feature amount, or may be information indicating a usage behavior by a type of behavior or the like.
When the behavior feature is not shown in the image feature amount, the behavior indexing unit 140 does not obtain the behavior feature corresponding to the image feature amount. When the behavior feature is not shown in the operation feature amount, the behavior indexing unit 140 does not obtain the behavior feature corresponding to the operation feature amount.
The behavior index unit 140 determines whether both the video feature amount and the operation feature amount show the same behavior feature, and calculates a behavior index corresponding to the behavior feature when both show the same behavior feature. The behavior index is a value corresponding to the usage behavior. The behavior index may also be a value in the form of a vector.
The behavior indexing unit 140 may detect the use behavior corresponding to the video feature amount as the detected behavior using the video feature amount. The behavior indexing unit 140 may detect a use behavior corresponding to the operation feature amount as a detected behavior using the operation feature amount. The behavior index section 140 may obtain the number of occurrences of the detected behavior as the behavior index. The behavior indexing unit 140 may detect a use behavior corresponding to the image feature amount as an image detection behavior. The behavior indexing unit 140 may detect the use behavior corresponding to the operation feature amount as the operation detection behavior.
Fig. 3 is a table illustrating calculation of the behaviour index by the fee calculating apparatus 100. The calculation of the behavior index by the fee calculation device 100 will be described with reference to this drawing.
The "item name" column is the same as the "item name" column in fig. 2.
The "detected image" column shows an image to be detected by the action indexing unit 140.
The column "detected operating state" shows the operating state detected by the behavior indexing unit 140. Either one of the "detection image" column and the "detection operation state" column may be an empty column.
The column "calculation method" shows a method of calculating the behavior index by the behavior index formation unit 140.
The "relationship with maintenance costs" column shows the relationship between the utilization behavior and the maintenance costs.
The reference charge acquiring unit 150 acquires reference charge data corresponding to the elevator information from the reference charge DB 230.
The fluctuating fee calculating unit 160 acquires the data for fluctuating fee corresponding to the elevator information from the DB for fluctuating fee 240, and calculates the fluctuating fee corresponding to the behavior index using the behavior index and the data for fluctuating fee.
The fluctuating fee calculating unit 160 may calculate the fluctuating fee in consideration of phenomena other than the use of behavior, such as the number of elevator runs and the total travel distance.
The maintenance charge calculation unit 170 calculates the maintenance charge using the reference charge and the variation charge. As a specific example, the maintenance fee calculation unit 170 calculates the sum of the fluctuation fee and the reference fee as the maintenance fee.
The maintenance fee output unit 180 presents the maintenance fee to the device user.
Specifically, the maintenance fee output unit 180 outputs the maintenance fee to the output device. The output device displays the maintenance cost.
* Description of actions
The operation procedure of the fee calculation apparatus 100 corresponds to a fee calculation method. Note that the program for realizing the operation of the fee calculation device 100 corresponds to a fee calculation program.
Fig. 4 is a flowchart showing the action of the fee calculation means 100. The operation of the fee calculating device 100 will be described with reference to the flowchart.
The fee calculation device 100 may execute the operation shown in the flowchart when the operation data is abnormal.
(step S101: elevator information acquisition processing)
The elevator information acquisition unit 110 acquires elevator information. In the following description of the flowchart, the elevator information refers to information acquired by the elevator information acquisition unit 110 in this step.
(step S102: image feature value calculation processing)
The image analysis unit 120 acquires image data from the image DB210, and calculates image feature values using the acquired image data. The image analysis unit 120 associates the image feature amount with the time when the image shown in the acquired image data is captured.
In the following description of the flowchart, the video feature amount is the feature amount calculated by the video analyzer 120 in this step.
(step S103: operation characteristic quantity calculation processing)
The operation analysis unit 130 acquires operation data from the operation DB220, and calculates an operation feature amount using the acquired operation data. The operation analysis unit 130 correlates the operation feature amount with the time zone in which the acquired operation data is acquired.
In the following description of the flowchart, the operation feature amount refers to a feature amount calculated by the operation analysis unit 130 in this step.
(step S104: behavior feature determination processing)
The behavior indexing unit 140 obtains the image behavior characteristics using the image feature values and obtains the operation behavior characteristics using the operation feature values.
When the behavior indexing unit 140 obtains the image behavior feature and the operation behavior feature, the behavior indexing unit 140 determines whether or not the image behavior feature and the operation behavior feature correspond to each other.
Specifically, the behavior indexing unit 140 determines that the video behavior characteristic and the behavior characteristic are associated with each other when both the video characteristic amount and the behavior characteristic amount are within a predetermined range or when there is a correspondence between the video characteristic amount and the behavior characteristic amount.
When the video behavior feature and the operation behavior feature correspond to each other, the behavior indexing unit 140 detects a utilization behavior corresponding to the video feature amount as a detected behavior, and calculates a behavior index corresponding to the detected behavior. That is, the behavior indexing unit 140 calculates a behavior index obtained by indexing the detected behavior detected by the behavior detection. The behavior index also corresponds to an operational behavior characteristic. In the following description of the flowchart, the detected behavior refers to the behavior calculated by the behavior indexing unit 140 in this step.
If the video behavior feature and the operation behavior feature correspond to each other, the fee calculation apparatus 100 proceeds to step S105. Otherwise, the fee calculation device 100 ends the processing of the present flowchart. If the behavior indexing unit 140 cannot determine at least one of the image behavior feature and the operation behavior feature, the fee calculation device 100 ends the processing of this flowchart.
Fig. 5 is a diagram illustrating the processing of this step. Specific examples of this step will be described with reference to this figure.
The monitoring camera captures an image of the car shaking caused by 1 elevator user jumping in the car during the running of the elevator. On the other hand, a sensor provided in the elevator detects an abnormal vibration change. Abnormal vibration is shown in the graph.
In the behavior indexing section 140, as a specific example, the video behavior feature indicates that the elevator user is swinging the car, and the operation behavior feature indicates that the car is swinging. The time period for the occurrence of the phenomenon corresponding to the image behavior feature is set to be the same as the time period for the occurrence of the phenomenon corresponding to the operation behavior feature. At this time, the image behavior feature corresponds to the operation behavior feature. Therefore, the behavior indexing unit 140 detects the utilization behavior corresponding to the image behavior feature as a detected behavior, and calculates a behavior index corresponding to the detected behavior.
(step S105: evaluation index calculation processing)
The behavior index converting unit 140 calculates a behavior index corresponding to the behavior feature. In the following description of the flowchart, the behavior index is an index calculated by the behavior indexing unit 140 in this step.
(step S106: change fee calculation processing)
The fluctuating fee calculation unit 160 acquires fluctuating fee data including fluctuating fees corresponding to the elevator information from the fluctuating fee DB240. The fluctuating fee calculating unit 160 calculates the fluctuating fee corresponding to the detected behavior using the behavior index and the data for fluctuating fee. In the following description of the flowchart, the variable fee means the fee calculated by the variable fee calculation unit 160 in this step.
(step S107: reference charge acquisition processing)
The reference charge acquisition unit 150 acquires data including the reference charge corresponding to the elevator information from the reference charge DB 230. In the following description of the flowchart, the reference fee means a fee included in the reference fee data acquired by the reference fee acquiring unit 150 in this step.
(step S108: maintenance charge calculation processing)
The maintenance charge calculation unit 170 calculates the sum of the variation charge and the reference charge as the maintenance charge.
(step S109: maintenance fee output processing)
The maintenance fee output unit 180 outputs the maintenance fee to the output device.
* Description of effects of embodiment 1
As described above, according to the present embodiment, the charge calculation device 100 can calculate the maintenance charge in consideration of the use behavior of the elevator user.
Therefore, according to the present embodiment, the maintenance company of the elevator or the like can present the charge corresponding to the use stop when updating the maintenance contract of the elevator or the like. In addition, by using the charge calculation device 100, an elevator manager or the like can prompt an elevator user to improve the use behavior.
An elevator may often fail due to wear or deterioration with age that can be estimated from the operation information, but an elevator may often fail due to poor use behavior. Specifically, the operation information is the number of times of travel or the time. In the full maintenance contract of the elevator, even when a sudden failure occurs due to a use stop, an additional charge corresponding to the sudden failure is not often requested. However, by using the fee calculation device 100, the maintenance fee can be discounted according to the use behavior associated with the sudden failure, and therefore, the maintenance company and the like can improve the price competitiveness.
* Other structures
< modification 1>
In the case where a plurality of elevators are installed in 1 building, for example, the charge calculation device 100 may set the average value of the maintenance charges of the plurality of elevators as the maintenance charge of 1 elevator.
< modification 2>
The behavior indexing unit 140 may obtain the behavior characteristics by referring to the behavior characteristic DB. As a specific example, the behavior feature DB stores data in which feature quantities related to usage behavior and information indicating usage behavior are associated with each other.
< modification 3>
The stop indexing unit 140 may detect the detected stop using only one of the video feature and the operation feature.
In the present modification, the fee calculating device 100 may not include only one of the image analyzing unit 120 and the operation analyzing unit 130.
< modification 4>
The charge calculation device 100 may warn the elevator user when detecting a use stop that causes an increase in the fluctuating charge.
< modification 5>
The behavior indexing unit 140 may calculate the degree of influence of the detected behavior on the fluctuating cost as the cost influence degree, and calculate the behavior index using the cost influence degree.
As a specific example, the operation indexing unit 140 sets the degree of influence of the cost to 1 when a person having a weight of 40kg jumps inside the elevator, and sets the degree of influence of the cost to 3 when a person having a weight of 120kg jumps inside the elevator. The behavior indexing unit 140 uses these charge influence degrees to give a difference of 3 times between the fluctuation charges corresponding to the respective cases. The weight of the elevator user is grasped using a sensor in the elevator.
< modification 6>
The behavior indexing unit 140 may obtain a plurality of behavior characteristics or a plurality of behavior characteristics. As a specific example, the behavior indexing section 140 obtains 2 kinds of behavior characteristics when one elevator user in an elevator jumps and another elevator user strongly beats a button. As another specific example, the behavior indexing unit 140 may obtain a plurality of 1 kind of behavior characteristics when 2 elevator users jump inside the car.
< modification 7>
The fee calculation device 100 may update the variable fee DB240. In the present modification, the fee calculation device 100 includes a varied fee update unit 190. Fig. 6 shows a configuration example of the fee calculation device 100 according to the present modification.
The fluctuating fee updating unit 190 calculates the data for the fluctuating fee corresponding to the detected behavior using the maintenance fee of the elevator corresponding to the detected behavior, and updates the data for the fluctuating fee stored in the fluctuating fee DB240 using the calculated data for the fluctuating fee.
< modification 8>
Fig. 7 shows an example of the hardware configuration of the fee calculation device 100 according to the present modification.
As shown in the figure, the fee calculation apparatus 100 includes a processing circuit 18 instead of at least one of the processor 11, the memory 12, and the auxiliary storage device 13.
The processing circuit 18 is hardware that realizes at least part of each section included in the fee calculating device 100.
The processing circuit 18 may be dedicated hardware, or may be a processor that executes a program stored in the memory 12.
When the processing Circuit 18 is dedicated hardware, the processing Circuit 18 may be a single Circuit, a composite Circuit, a programmed processor, a parallel programmed processor, an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or a combination thereof, as a Specific example.
The fee calculation device 100 may also have a plurality of processing circuits instead of the processing circuit 18. The plurality of processing circuits share the role of processing circuit 18.
In the fee calculating apparatus 100, a part of the functions may be realized by dedicated hardware, and the rest may be realized by software or firmware.
In specific examples, the processing circuit 18 is implemented by hardware, software, firmware, or a combination thereof.
The processor 11, memory 12, secondary storage 13 and processing circuitry 18 are collectively referred to as "processing circuitry". In other words, the functions of the functional components of the fee calculation device 100 are realized by processing lines.
* Other embodiments
Although embodiment 1 is described, a plurality of portions in this embodiment may be combined and implemented. Alternatively, this embodiment mode may be partially implemented. In addition, the present embodiment can be variously modified as necessary, and can be implemented in any combination as a whole or in part.
The above-described embodiments are essentially preferable examples, and are not intended to limit the scope of the present invention, its applications, and uses. The steps described with reference to the flowcharts and the like may be changed as appropriate.
Description of the reference symbols
11: a processor; 12: a memory; 13: a secondary storage device; 14: inputting an IF;15: outputting the IF;16: a communication device; 18: a processing circuit; 19: a signal line; 90: a cost calculation system; 91: a network; 100: a fee calculation device; 110: an elevator information acquisition unit; 120: an image analysis section; 130: an operation analysis section; 140: a behavior indexing unit; 150: a reference fee acquisition unit; 160: a variable cost calculation unit; 170: a maintenance cost calculation unit; 180: a maintenance cost output unit; 190: a variable cost update unit; 210: an image DB;220: running the DB;230: a reference charge DB;240: the DB for cost is changed.
Claims (10)
1. A fee calculation device, the fee calculation device having:
a behavior indexing unit that calculates a behavior index obtained by indexing a detected behavior detected as a behavior detection by a person using an elevator using the elevator; and
and a change charge calculation unit that acquires change charge data that is electronic data indicating information used to calculate a change charge, and calculates a change charge corresponding to the detected behavior using the behavior index and the change charge data, the change charge being at least a part of a charge required to maintain the elevator and being a charge that changes according to the usage behavior.
2. The fare calculation device of claim 1 wherein,
the charge calculation device includes an image analysis unit that acquires image data including a behavior image that is an image obtained by imaging the elevator and that includes information corresponding to the usage behavior and that is a feature indicated by the image data, and calculates an image feature amount that is a feature amount indicating a feature of an image that is a feature of the usage behavior and that is a feature indicated by the image data using the image data,
the behavior indexing unit detects a utilization behavior corresponding to the video feature amount as the detected behavior using the video feature amount.
3. The fare calculation device according to claim 1,
the charge calculation device includes an operation analysis unit that acquires operation data that is electronic data including a behavior state that is a behavior state of the elevator and includes information corresponding to the utilization behavior, and calculates an operation feature that is a feature amount indicating an operation feature that is a characteristic of the utilization behavior and is indicated by the operation data, using the operation data,
the behavior indexing unit detects a utilization behavior corresponding to the operation feature amount as the detected behavior using the operation feature amount.
4. The fare calculation device according to claim 1,
the fee calculation means has:
a video analysis unit that acquires video data including a behavior video that is a video obtained by imaging the elevator and that includes information corresponding to the usage behavior and that is a feature indicated by the video data, and calculates a video feature value that is a feature value indicating a feature of a video that is a feature of the usage behavior using the video data; and
an operation analysis unit that acquires operation data that is electronic data including a behavior state that is a behavior state of the elevator and includes information corresponding to the utilization behavior and that is a characteristic indicated by the operation data, and calculates an operation characteristic amount that is a characteristic amount indicating an operation characteristic using the operation data,
the operation detection unit detects a use operation corresponding to the operation characteristic amount as an operation detection operation, determines whether the operation detection operation corresponds to the image detection operation, and detects the image detection operation as the operation detection operation if the operation detection operation corresponds to the image detection operation.
5. The fee calculation device according to any one of claims 1 to 4,
the behavior indexing unit obtains the number of occurrences of the detected behavior as the behavior index.
6. The fee calculation device according to any one of claims 1 to 5, wherein,
the fee calculation means has:
a reference charge acquisition unit that acquires reference charge data indicating a reference charge that is a charge determined according to the property of the elevator; and
and a maintenance charge calculation unit that calculates a sum of the variation charge and the reference charge as a maintenance charge that is a charge required for maintaining the elevator.
7. The fee calculation device according to any one of claims 1 to 6 wherein,
the behavior indexing unit calculates a degree of influence of the detected behavior on the change cost as a cost influence degree, and calculates the behavior index using the cost influence degree.
8. The fee calculation device according to any one of claims 1 to 7 wherein,
the charge calculation device includes a change charge update unit that calculates change charge data corresponding to the detected behavior using the maintenance charge of the elevator corresponding to the detected behavior.
9. A charge calculation method, wherein,
a behavior indexing unit calculates a behavior index obtained by indexing a detected behavior detected by behavior detection, the detected behavior being a behavior of a person using an elevator using the elevator,
the fluctuating fee calculating part obtains data for fluctuating fees, and calculates the fluctuating fees corresponding to the detected behavior by using the behavior index and the data for fluctuating fees, wherein the data for fluctuating fees is electronic data representing information used when calculating the fluctuating fees, and the fluctuating fees are at least a part of fees required for maintaining the elevator and vary according to the using behavior.
10. A charge calculation program, wherein,
the charge calculation program causes a computer to calculate a lifting index obtained by indexing a detected lifting detected by a lifting use, which is a lifting use of the elevator by a person using the elevator,
the charge calculation program causes a computer to acquire variable charge data, which is electronic data indicating information used when calculating variable charges that are at least a part of charges required for maintaining the elevator and that vary according to the use stop, and to calculate a variable charge corresponding to the detected stop using the stop index and the variable charge data.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2020/021866 WO2021245817A1 (en) | 2020-06-03 | 2020-06-03 | Fee calculation device, fee calculation method, and fee calculation program |
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| CN115667112B CN115667112B (en) | 2023-08-25 |
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| KR (1) | KR102512582B1 (en) |
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| WO2024052995A1 (en) * | 2022-09-06 | 2024-03-14 | 三菱電機ビルソリューションズ株式会社 | Device for assisting in maintenance contract plan determination, and system for assisting in maintenance contract plan determination |
| JP7334316B1 (en) | 2022-09-09 | 2023-08-28 | Kddi株式会社 | Information processing device, information processing method and program |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004196485A (en) * | 2002-12-18 | 2004-07-15 | Hitachi Ltd | Charging system of elevator, and charging method of elevator |
| JP2008299503A (en) * | 2007-05-30 | 2008-12-11 | Mitsubishi Electric Building Techno Service Co Ltd | Computer system for implementing lease elevator business method |
| CN101986354A (en) * | 2010-11-04 | 2011-03-16 | 日立电梯（中国）有限公司 | Elevator charging device and charging method thereof |
| CN109146114A (en) * | 2017-06-26 | 2019-01-04 | 株式会社日立大厦系统 | Part replacement prediction meanss, part replacement forecasting system and part replacement prediction technique |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001256380A (en) * | 2000-03-09 | 2001-09-21 | Hitachi Building Systems Co Ltd | Calculation system for elevator maintenance charge |
| JP2002104746A (en) | 2000-09-29 | 2002-04-10 | Mitsubishi Electric Corp | Charging system for elevator maintenance and management charge |
| JP4045074B2 (en) | 2001-01-31 | 2008-02-13 | 株式会社日立製作所 | Elevator maintenance contract support system |
| JP2004189422A (en) * | 2002-12-11 | 2004-07-08 | Toshiba Elevator Co Ltd | Elevator maintenance support system |
| JP2005263349A (en) | 2004-03-16 | 2005-09-29 | Toshiba Elevator Co Ltd | Elevator failure diagnosis system |
| JP2019091304A (en) * | 2017-11-15 | 2019-06-13 | 株式会社日立ビルシステム | Maintenance fee presenting method, and maintenance fee presentation system |
-
2020
- 2020-06-03 JP JP2020573063A patent/JP6878708B1/en active Active
- 2020-06-03 WO PCT/JP2020/021866 patent/WO2021245817A1/en active Application Filing
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004196485A (en) * | 2002-12-18 | 2004-07-15 | Hitachi Ltd | Charging system of elevator, and charging method of elevator |
| JP2008299503A (en) * | 2007-05-30 | 2008-12-11 | Mitsubishi Electric Building Techno Service Co Ltd | Computer system for implementing lease elevator business method |
| CN101986354A (en) * | 2010-11-04 | 2011-03-16 | 日立电梯（中国）有限公司 | Elevator charging device and charging method thereof |
| CN109146114A (en) * | 2017-06-26 | 2019-01-04 | 株式会社日立大厦系统 | Part replacement prediction meanss, part replacement forecasting system and part replacement prediction technique |
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| JP6878708B1 (en) | 2021-06-02 |
| CN115667112B (en) | 2023-08-25 |
| JPWO2021245817A1 (en) | 2021-12-09 |
| KR102512582B1 (en) | 2023-03-21 |
| WO2021245817A1 (en) | 2021-12-09 |
| KR20220166360A (en) | 2022-12-16 |
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