CN115667112B - Cost calculating device, cost calculating method, and computer-readable recording medium - Google Patents
Cost calculating device, cost calculating method, and computer-readable recording medium Download PDFInfo
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- CN115667112B CN115667112B CN202080101435.9A CN202080101435A CN115667112B CN 115667112 B CN115667112 B CN 115667112B CN 202080101435 A CN202080101435 A CN 202080101435A CN 115667112 B CN115667112 B CN 115667112B
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- elevator
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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
- G06Q10/00—Administration; Management
Abstract
The cost calculation device (100) has an indication unit (140) and a change cost calculation unit (160). A utilization index unit (140) calculates a utilization index obtained by indexing a detected utilization of an elevator by a person utilizing the elevator. A change fee calculation unit (160) acquires change fee data, which is electronic data representing information used when calculating a change fee, and calculates a change fee corresponding to a detected change fee using a change fee index and change fee data, which is maintenance fee that changes according to the use fee.
Description
Technical Field
The present invention relates to a fee calculation device, a fee calculation method, and a computer-readable recording medium.
Background
There is a technique for calculating maintenance costs of an elevator in consideration of the use condition of the elevator. Patent document 1 discloses the following technique: the maintenance charge is calculated from information about the frequency of operation of the elevator and the needs of the user of the elevator.
Prior art literature
Patent literature
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 utilization of the elevator user. Therefore, the maintenance cost is preferably calculated taking into consideration the use of the holding. However, the technique of patent document 1 does not consider calculating maintenance costs by taking advantage of the taking.
The purpose of the present invention is to calculate maintenance costs corresponding to the utilization of the elevator user.
Means for solving the problems
The cost calculation device of the present invention comprises: a stop index unit that calculates a stop index obtained by indexing a detected stop detected by a stop by a person who uses an elevator using the elevator; and a change fee calculation unit that obtains change fee data, which is electronic data representing information used when calculating a change fee, which is at least a part of the fee required for maintaining the elevator and which changes according to the use of the elevator, and calculates a change fee corresponding to the detected use using the use index and the change fee data.
Effects of the invention
According to the present invention, the standing index unit calculates the standing index corresponding to the use standing, and the change fee calculation unit calculates the change fee using the standing index. The change costs may also be used to calculate maintenance costs.
Therefore, according to the present invention, the fee calculation device can calculate the maintenance fee according to the user's intention.
Drawings
Fig. 1 is a configuration example of a fee calculation system 90 according to embodiment 1.
Fig. 2 shows an example of the change fee data according to embodiment 1.
Fig. 3 is a table illustrating calculation of the stop index by the fee calculation device 100 according to embodiment 1.
Fig. 4 is a flowchart showing the operation of the fee calculation apparatus 100 according to embodiment 1.
Fig. 5 is a diagram illustrating the operation of the fee calculation apparatus 100.
Fig. 6 shows a configuration example of a fee calculation device 100 according to a modification of embodiment 1.
Fig. 7 shows an example of the hardware configuration of a fee calculation device 100 according to a 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 descriptions of the elements labeled with the same reference numerals are omitted or simplified as appropriate. Arrows in the figure mainly represent data flows or processing flows.
Embodiment 1
Next, this embodiment will be described in detail with reference to the drawings.
* Description of the structure
Fig. 1 shows an example of the configuration 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 change 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 elements of the fee calculation system 90 may be appropriately integrally formed or may be appropriately separated.
The network 91 is a communication network. As a specific example, the network 91 is the internet.
The image DB210 stores image data. The video data is electronic data that correlates an elevator video with information on the date and time at which the elevator video was captured. Elevators are sometimes also referred to as elevators. The elevator image is an image obtained by photographing an elevator. Specifically, the elevator image is an image of a monitoring camera provided in the car or in the elevator hall, and a combination of these images. Unless otherwise specified, the car refers to the car of an elevator. The elevator image may be a moving image or a still image of 1 frame or more.
The operation DB220 stores operation data. The operation data is electronic data in which operation information and information of 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 being raised, lowered, or stopped, information indicating a torque when the door is being opened or closed, information indicating a scale value in the car being raised or lowered, information indicating an operation history of the button, information indicating a pressure when the button is pressed, or information obtained by combining at least 2 of the information.
Specifically, the operation information is information acquired by a sensor provided in the elevator and a control command of a computer controlling the elevator.
The reference fee DB230 stores reference fee data. The reference fee data represents a reference fee. The baseline cost is at least a portion of the maintenance cost and is a standard cost of the maintenance cost. The reference charge is a charge determined according to the nature of the elevator. The maintenance costs are the costs required for maintaining the elevator. Typically, the maintenance fee is a fee paid by an owner or the like of the elevator to a maintenance company or the like. A maintenance company is a company that maintains or manages elevators. In the case where the utilization is a standard, the maintenance fee may be a reference fee.
The reference charge DB230 may store reference charges according to the properties of the elevator. The properties of the elevator are information representing the characteristics of the elevator. As specific examples, 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 date and time of installation of the elevator, and information of the building in which the elevator is installed. The reference charge may vary depending on the service condition of the elevator such as the number of years or the number of times of use.
The utilization stop is a stop of an elevator utilized by an elevator user. The utilization stop is an action associated with the elevator user utilizing the elevator. The elevator user is a person who utilizes the elevator. The elevator user may include a person who gets on an elevator or a person who manages an elevator, and may include a user other than a robot, an animal, or the like.
As specific examples, a passing mode including a case of being left in a car and a pressing mode of operating a button of an elevator are used. The use may include actions other than actions of the elevator user during the operation of the elevator such as cleaning the car or the elevator hall.
The service charge calculation device 100 calculates a service charge and requests the service charge from an owner of the elevator or the like. 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 during the contract period according to the use of the contract.
The variable fee DB240 stores variable fee data. The change fee data is electronic data representing information used when calculating the change fee. The change fee is a part of the maintenance fee, and is a fee that changes according to the use schedule. The change cost may be 0 or a negative value. Typically, when the frequency of poor utilization is high, the change cost is high, and when the frequency of good utilization is high, the change cost is low.
As a specific example, the bad use is such that the frequency of cleaning the car or elevator hall is low, the elevator user clamps an article in the gap of the elevator door to make the elevator door not easy to open or close, the elevator user shakes the car, or the elevator user strongly presses a button provided to the elevator. The cost calculating device 100 may determine that the car is stained when there is a difference of a predetermined value or more between the image of the car at the time of installing the elevator and the image of the car thereafter.
The fee calculation apparatus 100 analyzes the use cases that affect the maintenance fee.
The reference and varying costs may also depend on the nature of the elevator.
Fig. 2 shows an example of the change fee data. The change fee data will be described with reference to this figure. The present figure includes data for calculating data used by the change fee calculation unit 160. The change fee data may be generated by summing up information acquired from a plurality of elevators.
The change fee data may correspond to a group corresponding to an attribute such as a specification of the elevator. In this case, as a specific example, after the elevators are grouped, change fee data is calculated for each group. Specifically, the specification of an elevator is the model of the elevator or the model of the elevator door.
The "information on the presence indicators" field shows occurrence of a phenomenon corresponding to each of the presence indicators.
The "project name" column shows the names of projects corresponding to the holding indicators. The "number of occurrence of sudden vibration" is the number of occurrence of vibration that does not occur during normal operation. The "number of door collisions" 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 "cumulative 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 "project name" field indicates the degree of contamination in the car, the integrated value is a value obtained by integrating days when the degree of contamination in the car is equal to or greater than a predetermined level, as a specific example.
The "information on sudden failure" column is information indicating details of maintenance costs and the like corresponding to sudden failure. The sudden failure is a phenomenon that requires a maintenance company such as an elevator sudden failure to handle the elevator other than regular maintenance. The sudden failure may be a failure due to the use of the master.
In the present table, "total maintenance cost" and information indicating details of the sudden failure are described in the "information about sudden failure" column.
The "maintenance cost per 1 unit of the presence indicator" column shows the cost required for maintenance of the presence indicator per 1 unit. That is, the numerical value described in this column is obtained by dividing the value in the "cumulative value" column by the value in the "total maintenance cost" column. 1 unit may indicate that the occurrence is 1 time, or may indicate that the degree of contamination in the car is not less than a certain degree, and that the day is 1 day.
The "reference value" column shows the value of the reference stop index. As a specific example, when a certain stop index corresponding to a certain elevator is a value indicated in the "reference value" column, the change cost is 0. When the holding index is larger than the value indicated in the "reference value" column, the change cost becomes a positive value. When the holding index is smaller than the value indicated in the "reference value" column, the change cost becomes a negative value. The change fee may be a value appropriately determined within a certain range.
As a specific example, the change fee calculation unit 160 calculates the change fee using the values in the "maintenance cost per 1 unit of the stop index" column and the "reference value" column.
Specifically, the change fee corresponding to a certain stop index is a value obtained by multiplying a value indicated by "maintenance cost of the stop index per 1 unit" by a value obtained by subtracting a value indicated by a "reference value" column from the stop index.
The fee calculating apparatus 100 is constituted by a computer. The fee calculation device 100 may be constituted by a plurality of computers.
As shown in the figure, the fee calculation device 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 signal lines 19.
The processor 11 is an IC (Integrated Circuit: integrated circuit) that performs arithmetic processing, and controls hardware included in a computer. As specific examples, processor 11 is a CPU (Central Processing Unit: central processing unit), DSP (Digital Signal Processor: digital signal processor), or GPU (Graphics Processing Unit: graphics processing unit).
The fee calculation apparatus 100 may have a plurality of processors instead of the processor 11. The multiple processors share the role of 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. In a specific example, the memory 12 is a RAM (Random Access Memory: random access memory). 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 nonvolatile storage device. Specifically, the secondary storage device 13 is a ROM (Read Only Memory), HDD (Hard Disk Drive), or 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 the input device is connected. Specifically, the input IF14 is a USB (Universal Serial Bus: universal serial bus) terminal. The device user may also use the input device to input information to the fee calculation device 100. The device user is a person who utilizes the fee calculation device 100. As specific examples, the input device is a keyboard and a mouse.
The output IF15 is a port to which the output device is connected. Is a USB terminal or an HDMI (registered trademark, high-Definition Multimedia Interface: high-definition multimedia interface) terminal. The output device outputs the information received from the fee calculation device 100. In a specific example, the output device is an LCD (liquid crystal display: liquid crystal display).
The communication device 16 is a receiver and a transmitter. Specifically, the communication device 16 is a communication chip or NIC (Network Interface Card: network interface card).
The input IF14, the output IF15, and the communication device 16 may be used as appropriate in each part 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 the respective units included in the fee calculation apparatus 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 the respective units included in the fee calculation apparatus 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 appropriately used by 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 sometimes have the same meaning. The storage device may also be independent of the computer.
The functions of the memory 12 and the auxiliary storage 13 may be realized by other storage means, respectively.
The fee calculation program may be recorded on a computer-readable nonvolatile recording medium. As a specific example, 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, an image analysis unit 120, an operation analysis unit 130, a stop index 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. The elevator information is information indicating the nature of the elevator.
The elevator information acquisition unit 110 may acquire elevator information from an elevator, or may use elevator information stored in a storage device.
The image analysis unit 120 acquires image data from the image DB210, and calculates an image feature amount using the acquired image data. The video feature amount is a feature amount indicating a feature of the video data. The image feature amount may also represent an image feature. The image feature is a feature by default, and is a feature shown in image data. When the image data includes the held image, the image feature amount indicates a feature of the use held image shown in the image data. The standing image is an image obtained by photographing an elevator, and is an image containing information corresponding to the use of the standing. The image analysis unit 120 may analyze the image data acquired in a certain period of time. The time period may also be a certain time.
Specifically, the image analysis unit 120 analyzes the image by using a machine learning method, and calculates the image feature amount. The image analysis unit 120 may analyze the image using the image data and a learned model generated by the classification. 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 section 130 acquires operation data from the operation DB220, and calculates an operation feature amount using the acquired operation data. The operation feature quantity is a feature quantity representing a feature of the operation data. The operation feature quantity may also represent an operation feature. The operation feature is a feature by the use of the behavior, and is a feature shown by operation data. In the case where the operation data includes the held condition, the operation feature amount indicates a feature of the utilization held as shown in the operation data. The holding condition is an operation condition of the elevator, and is an operation condition including information corresponding to the use holding. The operation analysis unit 130 may uniformly analyze the operation data acquired during a certain period of time.
The operation analysis unit 130 may analyze the operation data using a learned model generated by using the operation data and the classification by the 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 operation indexing unit 140 calculates an operation feature, which is an operation feature shown by the operation feature and an image operation feature shown by the image feature. The hold feature is a feature of the utilization hold for a certain period of time. The held feature may be a feature quantity, or information indicating the use of the held, such as the type of the held.
When the image feature amount does not show the feature, the feature specification unit 140 does not determine the feature corresponding to the image feature amount. When the operation feature amount does not show the operation feature, the operation indexing unit 140 does not determine the operation feature corresponding to the operation feature amount.
The stop index unit 140 determines whether or not both the video feature amount and the operation feature amount show the same stop feature, and calculates a stop index corresponding to the same stop feature when both show the same stop feature. The use criterion is a value corresponding to the use criterion. The hold indicators may also be values in the form of vectors.
The behavior index unit 140 may detect a utilization behavior corresponding to the image feature amount using the image feature amount as a detected behavior. The behavior index unit 140 may detect a utilization behavior corresponding to the operation feature value as a detected behavior by using the operation feature value. The stop index unit 140 may calculate the number of times of occurrence of the detected stop as the stop index. The behavior index unit 140 may detect a utilization behavior corresponding to the image feature amount as an image detection behavior. The operation index unit 140 may detect an operation detection operation as an operation detection operation corresponding to the operation feature quantity.
Fig. 3 is a table illustrating calculation of the calculation target by the fee calculation apparatus 100. The case where the fee calculation device 100 calculates the holding index will be described with reference to this figure.
The "project name" column is the same as the "project name" column in fig. 2.
The "detected image" column shows an image to be detected by the stop index unit 140.
The "detected operation status" column shows the operation status detected by the stop index unit 140. Either one of the "detected image" field and the "detected operation status" field may be a blank field.
The "calculation method" column shows a method in which the presence-index unit 140 calculates a presence index.
The "relationship with maintenance costs" column shows the relationship between the utilization and maintenance costs.
The reference charge obtaining unit 150 obtains reference charge data corresponding to the elevator information from the reference charge DB 230.
The fluctuation expense calculation unit 160 obtains fluctuation expense data corresponding to the elevator information from the fluctuation expense DB240, and calculates the fluctuation expense corresponding to the holding index by using the holding index and the fluctuation expense data.
The variable cost calculation unit 160 may calculate the variable cost by taking into consideration the number of times of elevator operation, total travel distance, and other phenomena other than the use of the elevator.
The maintenance fee calculation unit 170 calculates the maintenance fee using the reference fee and the change fee. Specifically, the maintenance fee calculation unit 170 calculates the sum of the change fee and the reference fee as the maintenance fee.
The maintenance fee output unit 180 presents maintenance fee to the device user.
Specifically, the maintenance fee output unit 180 outputs maintenance fee to the output device. The output device displays maintenance costs.
* Description of the actions
The operation steps of the fee calculation apparatus 100 correspond to a fee calculation method. 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 operation of the fee calculation apparatus 100. The operation of the fee calculation apparatus 100 will be described with reference to this flowchart.
The fee calculation device 100 may execute the operation shown in the flowchart when an abnormality occurs in the operation data.
(step S101: elevator information acquisition processing)
The elevator information acquisition unit 110 acquires elevator information. In the following description of the present flowchart, the elevator information refers to the information acquired by the elevator information acquisition unit 110 in this step.
(step S102: image feature quantity calculation processing)
The image analysis unit 120 acquires image data from the image DB210, and calculates an image feature amount using the acquired image data. The image analysis unit 120 correlates the image feature amount with the time when the image shown in the acquired image data was captured.
In the following description of the present flowchart, the video feature amount refers to the feature amount calculated by the video analysis unit 120 in this step.
(step S103: operation characteristic amount calculation processing)
The operation analysis section 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 period in which the acquired operation data is acquired.
In the following description of the present flowchart, the operation feature amount refers to the feature amount calculated by the operation analysis unit 130 in this step.
(step S104: stopping characteristic determination processing)
The stop index unit 140 obtains an image stop feature using the image feature quantity and obtains an operation stop feature using the operation feature quantity.
When the image stop feature and the operation stop feature are obtained by the stop indexing unit 140, the stop indexing unit 140 determines whether or not the image stop feature and the operation stop feature correspond to each other.
Specifically, the stop index unit 140 determines that the image stop feature corresponds to the operation stop feature when the image feature and the operation feature are both within a predetermined range or when there is a correspondence between the image feature and the operation feature.
When the image stop feature corresponds to the operation stop feature, the stop index unit 140 detects the use stop corresponding to the image feature as a detected stop, and calculates a stop index corresponding to the detected stop. That is, the presence indicator 140 calculates a presence indicator obtained as a detection presence indicator by the presence detection. The stopping index also corresponds to an operational stopping feature. In the following description of the present flowchart, the detection of the behavior is the behavior calculated by the behavior specification unit 140 in the present step.
In the case where the image holding feature corresponds to the operation holding feature, the fee calculation apparatus 100 proceeds to step S105. Otherwise, the fee calculation apparatus 100 ends the processing of the present flowchart. If the stop index unit 140 cannot determine at least one of the image stop feature and the operation stop feature, the fee calculation device 100 ends the processing of the present flowchart.
Fig. 5 is a diagram illustrating the processing of this step. A specific example of this step will be described with reference to this figure.
The monitoring camera captures images of car sway caused by 1 elevator user jumping in the car while the elevator is traveling. On the other hand, a sensor provided in the elevator detects abnormal vibration changes. Abnormal vibrations are shown in the graph.
In the stop indicator 140, as a specific example, the image stop feature indicates that the elevator user is shaking the car, and the running stop feature indicates that the car is shaking. The time period for the occurrence of the phenomenon corresponding to the image holding feature is set to be the same as the time period for the occurrence of the phenomenon corresponding to the operation holding feature. At this time, the image stop feature corresponds to the operation stop feature. Accordingly, the behavior index unit 140 detects the use behavior corresponding to the image behavior feature as a detected behavior, and calculates a behavior index corresponding to the detected behavior.
(step S105: stopping index calculation processing)
The stop index unit 140 calculates a stop index corresponding to the stop feature. In the following description of the present flowchart, the standing index refers to the index calculated by the standing index unit 140 in this step.
(step S106: change fee calculation processing)
The variable fee calculation unit 160 acquires variable fee data including the variable fee corresponding to the elevator information from the variable fee DB240. The change fee calculation unit 160 calculates a change fee corresponding to the detected deposit using the deposit index and the change fee data. In the following description of the present flowchart, the variable cost refers to the cost calculated by the variable cost calculating unit 160 in this step.
(step S107: reference fee acquisition processing)
The reference charge obtaining unit 150 obtains data including the reference charge corresponding to the elevator information from the reference charge DB 230. In the following description of the present flowchart, the reference fee refers to the fee included in the reference fee data acquired by the reference fee acquisition unit 150 in this step.
(step S108: maintenance fee calculation processing)
The maintenance fee calculation unit 170 calculates the sum of the change fee and the reference fee as the maintenance fee.
(step S109: maintenance fee output processing)
The maintenance fee output unit 180 outputs maintenance fee to the output device.
* Description of effects of embodiment 1
As described above, according to the present embodiment, the fee calculation device 100 can calculate the maintenance fee in consideration of the use of the elevator user.
Therefore, according to the present embodiment, the maintenance company or the like of the elevator can present the charge corresponding to the use of the elevator when updating the maintenance contract of the elevator or the like. Further, by using the fee calculation device 100, the manager or the like of the elevator can prompt the elevator user to improve the use taking place.
Although there are many cases in which an elevator fails due to wear or aged deterioration that can be estimated from operation information, there are many cases in which an elevator fails due to poor utilization. Specifically, the running information is the number of times or time of running. In the case of a sudden failure due to a utilization stop in a full maintenance contract of an elevator, an additional cost corresponding to the sudden failure is often not requested. However, since the use of the fee calculation device 100 allows the maintenance fee to be discounted according to the use of the sudden failure, the price competitiveness of the maintenance company or the like can be improved.
* Other structures
< modification 1>
In the case where a plurality of elevators are provided in 1 building, the fee calculation device 100 may set the average value of the maintenance fees of the plurality of elevators as the maintenance fee of 1 elevator.
< modification example 2>
The stop index unit 140 may calculate the stop feature by referring to the stop feature DB. As a specific example, the use-purpose feature DB stores data associating a feature quantity related to use-purpose and information indicating use-purpose.
< modification example 3>
The detection index unit 140 may detect the detection of the detection using only one of the video feature amount and the operation feature amount.
In the present modification, the fee calculation device 100 may not include any one of the image analysis unit 120 and the operation analysis unit 130.
< modification 4>
The charge calculation device 100 may warn the elevator user when detecting the utilization of the charge that causes the increase in the variable charge.
< modification 5>
The stop index unit 140 may determine the degree of influence of the detected stop on the change in the cost as the cost influence degree, the cost effect is used to calculate the holding index.
Specifically, the stop index unit 140 sets the cost impact level to 1 when a person weighing 40kg jumps in the elevator, and sets the cost impact level to 3 when a person weighing 120kg jumps in the elevator. The stop index unit 140 uses these cost effects to give a 3-fold difference between the fluctuation costs corresponding to the respective cases. Sensors within the elevator are used to grasp the weight of the elevator user.
< modification 6>
The stop index unit 140 may determine a plurality of stop features or a plurality of stop features. Specifically, when one elevator user in the elevator jumps and the other elevator user strongly taps the button, the stop index unit 140 obtains 2 stop features. As another specific example, in the case where 2 elevator users jump in the car, the presence indicator 140 may determine a plurality of 1 presence features.
< modification 7>
The fee calculation device 100 may update the variable fee DB240. In this modification, the fee calculation device 100 includes a variable fee update unit 190. Fig. 6 shows a configuration example of the fee calculation apparatus 100 according to this modification.
The change fee updating unit 190 calculates change fee data corresponding to the detected elevator using the maintenance fee of the elevator corresponding to the detected elevator, and updates the change fee data stored in the change fee DB240 using the calculated change fee data.
< modification 8>
Fig. 7 shows an example of the hardware configuration of the fee calculation device 100 according to this modification.
As shown in the figure, the fee calculation device 100 has a processing circuit 18 in place of at least one of the processor 11, the memory 12, and the auxiliary storage device 13.
The processing circuit 18 is hardware for realizing at least a part of each part included in the fee calculation device 100.
The processing circuit 18 may be dedicated hardware or may be a processor that executes a program stored in the memory 12.
In the case where the processing circuit 18 is dedicated hardware, the processing circuit 18 is, as specific examples, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC (ASIC Application Specific Integrated Circuit: application specific integrated circuit), an FPGA (Field Programmable Gate Array: field programmable gate array), or a combination thereof.
The fee calculation device 100 may 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 calculation device 100, a part of the functions may be realized by dedicated hardware, and the rest of the functions may be realized by software or firmware.
As a specific example, the processing circuit 18 is implemented in hardware, software, firmware, or a combination thereof.
The processor 11, the memory 12, the auxiliary storage device 13 and the processing circuit 18 are collectively referred to as "processing lines". That is, the functions of the respective functional components of the fee calculation apparatus 100 are realized by the processing circuit.
* Other embodiments
Although embodiment 1 has been described, a plurality of portions in this embodiment may be implemented in combination. Alternatively, the present embodiment may be partially implemented. In addition, the present embodiment may be modified as needed, or may be implemented in any combination of whole or part.
The above-described embodiments are basically preferred examples, and are not intended to limit the scope of the present invention, its applications and uses. The steps described using flowcharts and the like may be changed as appropriate.
Description of the reference numerals
11: a processor; 12: a memory; 13: an auxiliary storage device; 14: inputting an IF;15: outputting the IF;16: a communication device; 18: a processing circuit; 19: a signal line; 90: a fee calculation system; 91: a network; 100: a fee calculation device; 110: an elevator information acquisition unit; 120: an image analysis unit; 130: an operation analysis unit; 140: a stop index unit; 150: a reference fee acquisition unit; 160: a change fee calculation unit; 170: a maintenance cost calculation unit; 180: a maintenance cost output unit; 190: a change fee updating unit; 210: an image DB;220: an operation DB;230: a reference fee DB;240: the expense DB is changed.
Claims (10)
1. A fee calculation apparatus, the fee calculation apparatus having:
a stop index unit that calculates a stop index obtained by indexing a detected stop detected by a stop by a person who uses an elevator using the elevator;
a change fee calculation unit that obtains change fee data, which is electronic data representing information used for calculating a change fee, which is at least a part of the fee required for maintaining the elevator and is a fee that changes according to the use of the elevator, and calculates a change fee corresponding to the detected use using the stop index and the change fee data;
an image analysis unit that acquires image data including an image that is an image obtained by capturing the elevator and that includes information corresponding to the use of the elevator, and calculates an image feature amount that is a feature amount representing an image feature that is a feature of the use of the elevator, using the image data; and
an operation analysis unit that obtains operation data that is electronic data including an operation state, which is an operation state of the elevator and includes information corresponding to the use operation, and calculates an operation feature value that is a feature value representing an operation feature, which is a feature of the use operation, using the operation data,
the behavior index unit detects, as a video detection behavior, a utilization behavior corresponding to the video feature quantity using the video feature quantity, detects, as a running detection behavior, a utilization behavior corresponding to the running feature quantity using the running feature quantity, determines whether the video detection behavior corresponds to the running detection behavior, and detects the video detection behavior as the detection behavior when the video detection behavior corresponds to the running detection behavior,
the utilization behavior represents an action associated with a person utilizing the elevator.
2. The fee calculating apparatus according to claim 1, wherein,
the stop index unit obtains the number of times of occurrence of the detected stop as the stop index.
3. The fee calculating apparatus according to claim 1, wherein,
the fee calculation device includes:
a reference charge acquisition unit that acquires reference charge data indicating a reference charge that is a charge determined according to the nature of the elevator; and
and a maintenance charge calculation unit that calculates a sum of the fluctuation charge and the reference charge as a maintenance charge that is a charge required for maintaining the elevator.
4. The fee calculating apparatus according to claim 2, wherein,
the fee calculation device includes:
a reference charge acquisition unit that acquires reference charge data indicating a reference charge that is a charge determined according to the nature of the elevator; and
and a maintenance charge calculation unit that calculates a sum of the fluctuation charge and the reference charge as a maintenance charge that is a charge required for maintaining the elevator.
5. The fee calculation apparatus according to any one of claims 1 to 4, wherein,
the stop index unit obtains a degree of influence of the detected stop on the variable cost as a cost influence degree, and calculates the stop index using the cost influence degree.
6. The fee calculation apparatus according to any one of claims 1 to 4, wherein,
the charge calculating device includes a change charge updating unit that calculates change charge data corresponding to the detected charge using a maintenance charge of the elevator corresponding to the detected charge.
7. The fee calculation apparatus according to any one of claims 1 to 4, wherein,
the utilization standstill represents the action of a person utilizing the elevator in the operation of the elevator.
8. The fee calculation apparatus according to any one of claims 1 to 4, wherein,
the operation data includes information indicating the actions of a person using the elevator, which is acquired by a sensor provided in the elevator.
9. A cost calculation method, wherein,
the stop index unit calculates a stop index obtained by indexing a detected stop detected by a person using an elevator to use the elevator,
a change fee calculation unit that obtains change fee data, which is electronic data representing information used in calculating a change fee that is at least a part of the fee required for maintaining the elevator and that changes in accordance with the use of the detection, and calculates a change fee corresponding to the detection using the stop index and the change fee data,
the image analysis unit acquires image data including an example image, which is an image obtained by capturing the elevator and includes information corresponding to the use example, and calculates an image feature amount, which is a feature amount representing an image feature, using the image data,
an operation analysis unit acquires operation data that is electronic data including an operation state, which is an operation state of the elevator and includes information corresponding to the use operation, and calculates an operation feature amount that is a feature amount indicating an operation feature, which is a feature of the use operation and is a feature indicated by the operation data,
the behavior index unit detects, as a video detection behavior, a utilization behavior corresponding to the video feature quantity using the video feature quantity, detects, as a running detection behavior, a utilization behavior corresponding to the running feature quantity using the running feature quantity, determines whether the video detection behavior corresponds to the running detection behavior, and detects the video detection behavior as the detection behavior when the video detection behavior corresponds to the running detection behavior,
the utilization behavior represents an action associated with a person utilizing the elevator.
10. A computer-readable recording medium having a fee calculation program recorded thereon, wherein,
the charge calculation program causes a computer to calculate a stop index obtained by indexing a detected stop detected by a stop of a person who uses an elevator using the elevator,
the charge calculation program causes a computer to acquire change charge data, which is electronic data representing information used in calculating a change charge that is at least a part of a charge required for maintaining the elevator and that changes in accordance with the use of the elevator, and calculates a change charge corresponding to the detected use of the change charge data,
the charge calculation program causes a computer to acquire image data including an image to be taken, which is an image obtained by capturing the elevator and which includes information corresponding to the use of the elevator, and calculates an image feature amount, which is a feature amount representing an image feature, using the image data,
the charge calculation program causes a computer to acquire operation data as electronic data including an operation condition, which is an operation condition of the elevator and includes information corresponding to the utilization operation, and calculates an operation feature value, which is a feature value indicating an operation feature, using the operation data,
the fee calculation program causes a computer to detect a use behavior corresponding to the image feature quantity as an image detection behavior using the image feature quantity, detect a use behavior corresponding to the operation feature quantity as an operation detection behavior using the operation feature quantity, determine whether the image detection behavior corresponds to the operation detection behavior, and detect the image detection behavior as the detection behavior when the image detection behavior corresponds to the operation detection behavior,
the utilization behavior represents an action associated with a person utilizing the elevator.
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| Application Number | Priority Date | Filing Date | Title |
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| 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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| 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 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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| CN115667112A (en) | 2023-01-31 |
| JP6878708B1 (en) | 2021-06-02 |
| KR102512582B1 (en) | 2023-03-21 |
| WO2021245817A1 (en) | 2021-12-09 |
| KR20220166360A (en) | 2022-12-16 |
| JPWO2021245817A1 (en) | 2021-12-09 |
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