JP7409571B2 - Elevator data acquisition system - Google Patents

Description

The present disclosure relates to an elevator data acquisition system.

Patent Document 1 discloses an example of a system that determines an abnormality in a control circuit for an elevator motor. In this system, information is sent to a server as big data from a large number of inverters used to control motors.

International Publication No. 2019/069355

However, in the system of Patent Document 1, the amount of information acquired as big data becomes large. For this reason, there is a possibility that the communication capacity from the elevator to the server will be strained.

The present disclosure relates to solving such problems. The present disclosure provides a data acquisition system that can suppress the strain on communication capacity due to acquisition of data from elevators and other elevators.

The data acquisition system according to the present disclosure includes a monitoring unit that acquires abnormality information from each of the plurality of elevators and escalators, each of which is classified into one of a plurality of preset groups; Operation data representing the operating status of each of the elevators is given priority to elevators included in a group having a higher group priority set based on abnormality information acquired by the monitoring unit among the plurality of groups. and a collection unit for acquiring the data.
The data acquisition system according to the present disclosure includes, for an elevator including a plurality of parts, a monitoring unit that acquires part abnormality information for each of the plurality of parts; a collection unit that acquires part data for each of the parts, preferentially acquiring part data from parts having a higher part priority set based on part abnormality information acquired by the monitoring part among the plurality of parts; Be prepared.

With the data acquisition system according to the present disclosure, it is possible to suppress the strain on communication capacity due to acquisition of data from elevators.

1 is a configuration diagram of a data acquisition system according to Embodiment 1. FIG. FIG. 3 is a diagram showing an example of priorities set in the data acquisition system according to the first embodiment. 3 is a flowchart illustrating an example of the operation of the data acquisition system according to the first embodiment. 1 is a hardware configuration diagram of main parts of a data acquisition system according to Embodiment 1. FIG. 7 is a diagram illustrating an example of priorities set in the data acquisition system according to Embodiment 2. FIG. 7 is a flowchart illustrating an example of the operation of the data acquisition system according to the second embodiment.

DESCRIPTION OF THE PREFERRED EMBODIMENTS Modes for implementing the subject matter of the present disclosure will be described with reference to the accompanying drawings. In each figure, the same or corresponding parts are given the same reference numerals, and overlapping explanations are simplified or omitted as appropriate. Note that the subject of the present disclosure is not limited to the following embodiments, and modifications of any constituent elements of the embodiments or modifications of any constituent elements of the embodiments may be made without departing from the spirit of the present disclosure. Can be omitted.

Embodiment 1.
FIG. 1 is a configuration diagram of a data acquisition system 1 according to the first embodiment.

The data acquisition system 1 is applied to a system including a plurality of elevators 2, for example. Elevator 2 is an example of an elevator. The data acquisition system 1 is a system that acquires information on a plurality of elevators and escalators such as the elevator 2 as information used for monitoring from a remote location, for example. The data acquisition system 1 is, for example, a remote monitoring system.

Each elevator 2 is applied, for example, to a building having multiple floors. The plurality of elevators 2 may include elevators 2 that are applied to the same building. Each elevator 2 includes a car (not shown) that transports users between a plurality of floors, a hoist (not shown) that drives the car, and the like. The car is provided with a door (not shown) that partitions the inside and outside of the car. The hoist is provided with a brake (not shown) that brakes the running of the car. Elevator 2 includes multiple parts. The plurality of parts of the elevator 2 include, for example, a hoist, a door, and a brake.

Each elevator 2 includes a control device 3. The control device 3 is a device that controls operations of the elevator 2 such as running of the car. The control device 3 collects information from each part of the elevator 2 so as to control the operation of the elevator 2. The information collected here includes, for example, measurement signals from sensors, detection signals from switches, image signals from cameras, audio signals from microphones, and control signals from devices including these. Devices such as sensors, switches, cameras, and microphones are provided, for example, in the elevator 2 or its attached or peripheral devices.

Each elevator 2 is classified into one of a plurality of preset groups. The plurality of groups are, for example, groups that classify elevators 2 according to specifications. Information on the specifications of the elevator 2 includes, for example, information such as the model, rated speed, and transport capacity.

The data acquisition system 1 includes a plurality of remote monitoring devices 4 and a central management device 5.

Each remote monitoring device 4 corresponds to one of the elevators 2. The remote monitoring device 4 is placed, for example, in the same building to which the corresponding elevator 2 is applied. The remote monitoring device 4 is used to monitor the status of the corresponding elevator 2 from a remote location. The remote monitoring device 4 is connected to the control device 3 and the like so that information on the status of the corresponding elevator 2 can be obtained. The remote monitoring device 4 accumulates and stores the obtained information on the status of the elevator 2. The information accumulated here includes operation data representing the operating status of the elevator 2. The remote monitoring device 4 may accumulate operation data of the elevator 2 as part data for each part included in the elevator 2. The remote monitoring device 4 is connected to the central management device 5 through a communication network such as the Internet or a telephone line network so as to be able to transmit acquired information such as driving data.

Each remote monitoring device 4 determines the occurrence of an abnormality in the corresponding elevator 2 based on information acquired from the control device 3 of the elevator 2 or the like. In this example, the abnormality that occurs in the elevator 2 refers to an event that occurs in the elevator 2 that is not normal. Abnormalities in the elevator 2 include, for example, signs and failures. A sign is, for example, an event in which observed data deviates from a preset normal range. A failure is, for example, an event that causes some kind of hindrance to the operation of the elevator 2. The failures may include those that allow the elevator 2 to continue operating, those that allow continued operation subject to conditions such as traveling speed or range, and those that make continued operation impossible. When determining the occurrence of an abnormality, the remote monitoring device 4 accumulates, for example, information on the abnormality. Alternatively, the remote monitoring device 4 may report the occurrence of the abnormality to, for example, the central management device 5 when the degree of urgency of the abnormality determined to have occurred is high. The remote monitoring device 4 may determine the occurrence of an abnormality in the corresponding elevator 2 as a local abnormality for each part included in the elevator 2.

The central management device 5 is a device that manages information on the status of the elevator 2 from which the data acquisition system 1 acquires data. A part or all of the functions of the central management device 5 are installed in one or more server devices located at a base such as an information center, for example. The information center is a base where information about the elevators 2 monitored by the data acquisition system 1 is collected. Alternatively, some or all of the functions of the central management device 5 may be installed in one or more server devices located outside the information center. Some or all of the functions of the central management device 5 may be implemented using storage or processing resources on a cloud service. The central management device 5 includes a specification information storage section 6, a monitoring section 7, an abnormality history storage section 8, an alarm history storage section 9, a priority setting section 10, a collection section 11, and an operation data storage section 12. and an analysis section 13.

In the specification information storage unit 6, information such as specifications for each elevator 2 is stored. In the specification information storage unit 6, information on groups into which each elevator 2 is classified is stored.

The monitoring unit 7 is a part that has a function of acquiring abnormality information from each elevator 2. The monitoring section 7 includes a regular monitoring section 14 and an alarm monitoring section 15.

The regular monitoring unit 14 is a part that has a function of periodically acquiring abnormality information accumulated in each remote monitoring device 4. The frequency with which the regular monitoring unit 14 acquires abnormality information is, for example, once per month. The regular monitoring unit 14 transmits a command to transmit the accumulated abnormality information to the remote monitoring device 4 at the timing of acquiring the abnormality information. The remote monitoring device 4 that has received the command transmits the accumulated abnormality information to the central management device 5. Here, if there is no accumulated abnormality information, the remote monitoring device 4 that has received the command may send a message to the central management device 5 that there is no abnormality information. The abnormality information that the regular monitoring unit 14 acquires from the plurality of elevators 2 is accumulated and stored in the abnormality history storage unit 8.

The alarm monitoring unit 15 is a part that has a function of receiving an alarm indicating the occurrence of an abnormality from each remote monitoring device 4 as information about the abnormality. Abnormality information that the alarm monitoring section 15 acquires from a plurality of elevators 2 through alarms is accumulated and stored in the alarm history storage section 9.

The priority setting section 10 is a section having a function of setting priorities based on the abnormality information that the monitoring section 7 acquires from a plurality of elevators 2 . The priorities set by the priority setting unit 10 include group priorities set for each group into which each elevator 2 is classified. The priority setting unit 10 sets the group priority so that the group priority increases as the number of abnormalities increases. For example, the priority setting unit 10 refers to information stored in the specification information storage unit 6 and the abnormality history storage unit 8 or alarm history storage unit 9, and determines whether an abnormality has occurred in the elevator 2 classified into the group. Aggregate the number of cases for each group. The priority setting unit 10 sets the group priority of each group using a monotonically increasing function for the total number of occurrences of abnormalities.

The collection unit 11 is a part that has a function of acquiring operation data accumulated by the remote monitoring device 4 from the remote monitoring device 4 corresponding to each elevator 2 according to the priority set by the priority setting unit 10. The operation data acquired by the collection unit 11 includes detailed information such as time-series data of changes in the running speed of the car or changes in the opening/closing position of the door. The operation data that the collection unit 11 acquires from the plurality of elevators 2 is accumulated and stored in the operation data storage unit 12. The collection unit 11 acquires driving data, for example, at a preset frequency. In this example, the collection unit 11 acquires driving data at regular preset timings, for example.

The collection unit 11 selects a group from which driving data is to be acquired, based on, for example, group priority. In the collection unit 11, a group threshold for group priority is set in advance. The collection unit 11 acquires operation data from the elevators 2 included in the group whose group priority is higher than the group threshold. On the other hand, the collection unit 11 stops acquiring operation data from the elevators 2 included in the group whose group priority is lower than the group threshold.

The analysis section 13 is a section having a function of analyzing the state of the elevator 2 and the like based on the operation data accumulated in the operation data accumulation section 12. The analysis unit 13 analyzes the accumulated driving data as, for example, big data. The analysis unit 13 calculates, for example, a suitable time interval for maintenance and inspection work for each elevator 2. Further, the analysis unit 13 detects, for example, a sign that an abnormality occurs in each elevator 2. The analysis unit 13 may perform these analyzes for each group into which each elevator 2 is classified. Using the results of the analysis by the analysis unit 13, maintenance and inspection work for each elevator 2 is performed. The analysis by the analysis unit 13 is referred to, for example, by a maintenance worker who performs maintenance inspection work through a terminal device such as a maintenance terminal. By using the analysis of the analysis unit 13, it is possible to improve the efficiency of maintenance and inspection work, and to prevent the occurrence of abnormalities such as breakdowns, for example.

Next, an example of priorities set in the data acquisition system 1 will be explained using FIG. 2.
FIG. 2 is a diagram showing an example of priorities set in the data acquisition system 1 according to the first embodiment.

Information on abnormalities in the elevator 2 used for priority setting is aggregated for each group based on information accumulated in the abnormality history storage section 8 or the alarm history storage section 9. A unique group ID (ID: IDentifier) is assigned to each group. Here, the group IDs are assigned in order from 1 to an integer N representing the total number of groups. Each group is classified by specification information such as model, rated speed, and transport capacity. The priority setting unit 10 compares the number of occurrences of anomalies or the occurrence rate of anomalies for each group with a preset threshold. The priority setting unit 10 sets a group priority of "high" for a group in which the number of occurrences of abnormalities is greater than a threshold value. The priority setting unit 10 sets a group priority of "low" for a group in which the occurrence of an abnormality is equal to or less than a threshold value.

The group threshold is set between group priorities "high" and "low". That is, the collection unit 11 acquires operation data from the elevators 2 included in the group with the group priority "high". Here, the group may include elevators 2 in which no abnormality has occurred. On the other hand, the collection unit 11 stops acquiring operation data from the elevators 2 included in the group with the group priority "low".

The priority settings in the priority setting unit 10 are performed, for example, before the timing at which driving data is acquired. The priority settings in the priority setting unit 10 may be performed, for example, at the timing when the monitoring unit 7 acquires abnormality information from the elevator 2.

Next, an example of the operation of the data acquisition system 1 will be described using FIG. 3.
FIG. 3 is a flowchart illustrating an example of the operation of the data acquisition system 1 according to the first embodiment.

In step S11, the collection unit 11 determines whether it is the timing to acquire driving data. If the determination result is No, the process of the data acquisition system 1 proceeds to step S11 again. If the determination result is Yes, the process of the data acquisition system 1 proceeds to step S12.

In step S12, the collection unit 11 sets the group with group ID 1 as a processing target. Thereafter, the process of the data acquisition system 1 proceeds to step S13.

In step S13, the collection unit 11 determines whether the group priority set for the group to be processed is greater than or equal to the group threshold. If the determination result is Yes, the process of the data acquisition system 1 proceeds to step S14. If the determination result is No, the process of the data acquisition system 1 proceeds to step S15.

In step S14, the collection unit 11 acquires operation data from the elevators 2 included in the group to be processed. For example, the collection unit 11 sequentially transmits a command requesting transmission of operation data to the remote monitoring devices 4 of the elevators 2 included in the group. The collection unit 11 acquires the operation data of the elevator 2 to which the remote monitoring device 4 corresponds from the remote monitoring device 4 that received the command. Thereafter, the process of the data acquisition system 1 proceeds to step S15.

In step S15, the collection unit 11 determines whether the group ID of the group to be processed has reached an integer N, which is the total number of groups. If the determination result is No, the process of the data acquisition system 1 proceeds to step S16. If the determination result is Yes, the data acquisition process in the data acquisition system 1 ends.

In step S16, the collection unit 11 adds 1 to the group ID of the group currently being processed. The collection unit 11 sets the group to which the group ID obtained by the addition is assigned as the next processing target. Thereafter, the process of the data acquisition system 1 proceeds to step S13.

As described above, the data acquisition system 1 according to the first embodiment includes the monitoring section 7 and the collection section 11. In the data acquisition system 1, each elevator 2 is classified into at least one preset group. The monitoring unit 7 acquires abnormality information from each elevator 2. The collection unit 11 acquires operation data representing the operation status of each elevator 2, giving priority to elevators 2 included in a group with a higher group priority. The group priority is set based on the abnormality information acquired by the monitoring unit 7.

With such a configuration, acquisition of driving data is controlled based on set priorities such as group priority, so acquisition of unnecessary driving data can be suppressed. Therefore, it is possible to suppress the communication capacity from being strained due to the acquisition of data from the elevator 2. This suppresses an increase in communication costs due to an increase in communication volume. Furthermore, by suppressing the amount of communication, the rate at which the communication route is occupied by communication of driving data is suppressed. Furthermore, since the capacity of the collected data itself can be suppressed, the storage capacity of the driving data storage section 12 and the like that accumulates driving data can also be suppressed. Furthermore, the situation such as the occurrence of an abnormality differs depending on the group classified according to the specifications of the elevator 2 and the like. The data acquisition system 1 limits acquisition of operational data for each group based on abnormality information for each group. As a result, the data acquisition system 1 controls the acquisition of operation data even for elevators 2 for which the occurrence of an abnormality is unknown, such as a newly installed elevator 2, according to the occurrence of an abnormality in elevators 2 of the same type. be able to.

Further, the group priority is set such that the group with more occurrences of abnormalities becomes higher.

With such a configuration, operational data is acquired intensively for groups in which abnormalities occur frequently, so that the accuracy of analysis based on operational data for elevators 2 included in these groups is further improved. Therefore, the maintenance and inspection work for these elevators 2 can be made more efficient, and the occurrence of abnormalities such as breakdowns can be more effectively prevented. Further, the data acquisition system 1 can intensively acquire operation data for elevators 2 in which no abnormality has occurred yet, depending on the situation of occurrence of abnormality in elevators 2 of the same type.

Furthermore, the collection unit 11 stops acquiring operation data from elevators 2 included in groups whose group priorities are lower than a preset group threshold.

With such a configuration, the data acquisition system 1 can concentrate resources such as communication and storage on acquiring operation data from elevators 2 included in groups set with high priority.

Note that the collection unit 11 may acquire operation data more frequently from the elevators 2 included in the group whose group priority is set higher. For example, the collection unit 11 may acquire driving data for a group with a "high" group priority more frequently than a group with a "low" group priority. In this example, the collection unit 11 acquires operation data every day from the elevators 2 included in the group with the group priority "high". On the other hand, the collection unit 11 acquires operation data from the elevators 2 included in the group with the group priority "low" every 10 days. Note that the group priority and the frequency of acquisition of driving data corresponding thereto may be in three or more levels, or may be continuous values.

Furthermore, the priority setting unit 10 may set the group priority based on whether or not an abnormality has occurred for each group. At this time, the priority setting unit 10 sets a group priority of "high" for the group determined to be "abnormal". On the other hand, the priority setting unit 10 sets a group priority of "low" for the group determined to be "no abnormality". Furthermore, the priority setting unit 10 may set a criterion such as a threshold value for the severity of an abnormality for determining that an abnormality has occurred. For example, the priority setting unit 10 may set the group priority based on whether or not an abnormality that makes it impossible to continue operation occurs for each group.

Furthermore, the data acquisition system 1 may be applied to acquire operational data from elevators such as escalators.

Next, an example of the hardware configuration of the data acquisition system 1 will be described using FIG. 4.
FIG. 4 is a hardware configuration diagram of the main parts of the data acquisition system 1 according to the first embodiment.

Each processing function in the data acquisition system 1 can be realized by a processing circuit. The processing circuit includes at least one processor 100a and at least one memory 100b. The processing circuitry may include at least one dedicated hardware 200 along with or in place of the processor 100a and memory 100b.

When the processing circuit includes a processor 100a and a memory 100b, each function of the data acquisition system 1 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. The program is stored in memory 100b. The processor 100a implements each function of the data acquisition system 1 by reading and executing programs stored in the memory 100b.

The processor 100a is also referred to as a CPU (Central Processing Unit), a processing device, an arithmetic device, a microprocessor, a microcomputer, or a DSP. The memory 100b is configured of a nonvolatile or volatile semiconductor memory such as RAM, ROM, flash memory, EPROM, and EEPROM.

When the processing circuitry comprises dedicated hardware 200, the processing circuitry is implemented, for example, in a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof.

Each processing function in the data acquisition system 1 can be realized by a processing circuit. Alternatively, each function of the data acquisition system 1 can be realized all together by a processing circuit. Regarding each function of the data acquisition system 1, some parts may be realized by the dedicated hardware 200, and other parts may be realized by software or firmware. In this way, the processing circuit implements each function of the data acquisition system 1 using dedicated hardware 200, software, firmware, or a combination thereof.

Embodiment 2.
In Embodiment 2, points that are different from the example disclosed in Embodiment 1 will be explained in particular detail. As for the features not described in the second embodiment, any of the features in the examples disclosed in the first embodiment may be adopted.

In the specification information storage unit 6 of the second embodiment, information on parts included in each elevator 2 is stored.

The monitoring unit 7 acquires, from each elevator 2, information on abnormalities in each part included in the elevator 2. The information on the abnormality in the part is included in the information on the abnormality that the regular monitoring unit 14 acquires from each elevator 2. Further, the information on the abnormality in the part is included in the alarm information etc. that the alarm monitoring unit 15 receives from each remote monitoring device 4 .

The priority setting unit 10 sets priorities based on the information on abnormalities in parts that the monitoring unit 7 acquires from a plurality of elevators 2 . The priority set by the priority setting unit 10 includes a part priority set for each part included in at least one of the elevators 2. The priority setting unit 10 sets the region priority so that the region where more abnormalities occur is higher. For example, the priority setting unit 10 determines the number of abnormalities that have occurred in each elevator 2 by referring to information stored in the specification information storage unit 6 and the abnormality history storage unit 8 or alarm history storage unit 9. Calculate by part. The priority setting unit 10 sets the part priority of each part using a monotonically increasing function or the like for the total number of occurrences of abnormalities.

The collection unit 11 acquires body part data for each body part accumulated by the remote monitoring device 4 from the remote monitoring device 4 corresponding to each elevator 2 according to the priority set by the priority setting unit 10. The part data that the collection unit 11 acquires from the plurality of elevators 2 is accumulated and stored in the operation data storage unit 12. The collection unit 11 acquires body part data, for example, at a preset frequency.

The collection unit 11 selects a target body part from which body part data is to be acquired, for example, based on body part priority. In the collection unit 11, a part threshold for the part priority is set in advance. The collection unit 11 acquires body part data about body parts whose body part priority is higher than the body part threshold from each elevator 2. On the other hand, the collection unit 11 stops acquiring part data from each elevator 2 for parts whose part priority is lower than the part threshold.

The analysis unit 13 analyzes the state of each part of the elevator 2 based on the part data stored in the operation data storage part 12. The analysis unit 13 analyzes the accumulated part data as, for example, big data.

FIG. 5 is a diagram showing an example of priorities set in the data acquisition system 1 according to the second embodiment.

Information on abnormalities in the elevator 2 used for priority setting is aggregated for each part based on information accumulated in the abnormality history storage section 8 or the alarm history storage section 9. A unique part ID is assigned to each part. Here, the region IDs are sequentially assigned from 1 to an integer n representing the total number of region types. The plurality of parts include, for example, a hoist, a brake, and a door. Note that the plurality of parts may be higher-ranking parts including these parts, or may be lower-ranking parts included therein. The priority setting unit 10 compares the number of occurrences of anomalies or the occurrence rate of anomalies for each region with a preset threshold. The priority setting unit 10 sets a site priority of "high" to a site where the number of occurrences of abnormalities is greater than a threshold value. The priority setting unit 10 sets a site priority of "low" to a site where the occurrence of an abnormality is equal to or less than a threshold value.

The region threshold is set between "high" and "low" region priorities. That is, the collection unit 11 acquires body part data about the body part with the body part priority "high" from each elevator 2. At this time, information may be acquired from the elevator 2 in which no abnormality has occurred in the region. On the other hand, the collection unit 11 stops acquiring body part data for the body part with the body part priority "low".

The priority settings in the priority setting unit 10 are performed, for example, before the timing of acquiring body part data. The priority settings in the priority setting unit 10 may be performed, for example, at the timing when the monitoring unit 7 acquires information on abnormalities in the part from the elevator 2.

Next, an example of the operation of the data acquisition system 1 will be described using FIG. 6.
FIG. 6 is a flowchart illustrating an example of the operation of the data acquisition system 1 according to the second embodiment.

In step S21, the collection unit 11 determines whether it is the timing to acquire body part data. If the determination result is No, the process of the data acquisition system 1 proceeds to step S21 again. If the determination result is Yes, the process of the data acquisition system 1 proceeds to step S22.

In step S22, the collection unit 11 sets the part whose part ID is 1 as a processing target. Thereafter, the process of the data acquisition system 1 proceeds to step S23.

In step S23, the collection unit 11 determines whether the part priority set for the part to be processed is greater than or equal to the part threshold. If the determination result is Yes, the process of the data acquisition system 1 proceeds to step S24. If the determination result is No, the processing of the data acquisition system 1 proceeds to step S25.

In step S24, the collection unit 11 acquires body part data about the body part to be processed from each elevator 2. For example, the collection unit 11 sequentially transmits a command requesting transmission of region data of the region to the remote monitoring device 4 of the elevator 2 that includes the region. The collection unit 11 acquires body part data of the body part from the remote monitoring device 4 that has received the command. Thereafter, the process of the data acquisition system 1 proceeds to step S25.

In step S25, the collection unit 11 determines whether the region ID of the region to be processed has reached an integer n, which is the total number of region types. If the determination result is No, the process of the data acquisition system 1 proceeds to step S26. If the determination result is Yes, the data acquisition process in the data acquisition system 1 ends.

In step S26, the collection unit 11 adds 1 to the region ID of the region currently being processed. The collection unit 11 sets the part to which the part ID obtained by the addition is given as the next processing target. Thereafter, the process of the data acquisition system 1 proceeds to step S23.

As described above, the data processing system according to the second embodiment includes the monitoring section 7 and the collection section 11. The monitoring unit 7 acquires information on abnormalities in each part included in at least one of the elevators 2. The collection unit 11 acquires body part data for each body part, giving priority to the body part having a higher body part priority. The site priority is set based on site abnormality information acquired by the monitoring unit 7.

With such a configuration, the parts from which driving data is acquired are controlled based on set priorities such as part priorities, thereby suppressing the acquisition of unnecessary driving data. Therefore, it is possible to suppress the communication capacity from being strained due to the acquisition of data from the elevator 2. This suppresses an increase in communication costs due to an increase in communication volume. Furthermore, by suppressing the amount of communication, the rate at which the communication route is occupied by communication of driving data is suppressed. Furthermore, since the capacity of the collected data itself can be suppressed, the storage capacity of the driving data storage section 12 and the like that accumulates driving data can also be suppressed. Further, the situation such as the occurrence of abnormality in a part differs depending on the part of the elevator 2. The data acquisition system 1 limits the acquisition of part data of the driving data based on the information on part abnormalities for each part. As a result, the data acquisition system 1 can collect part data based on the situation of abnormalities in other elevators 2, even for elevators 2 where the abnormality occurrence situation for each part is unknown, such as a newly installed elevator 2. Acquisition can be controlled.

Further, the region priority is set such that the region where more abnormalities occur is higher.

With such a configuration, part data is acquired in a focused manner on parts where abnormalities often occur, so that the accuracy of analysis for these parts can be further improved. Therefore, the maintenance and inspection work for the elevator 2 including these parts can be made more efficient, and the occurrence of abnormalities such as breakdowns can be more effectively prevented. In addition, the data acquisition system 1 can intensively acquire operation data for necessary parts, even for elevators 2 in which no abnormality has occurred yet, depending on the status of abnormalities in parts that have occurred in other elevators 2. can.

Furthermore, the collection unit 11 stops acquiring body part data of body parts whose body part priority is lower than a preset body part threshold.

With such a configuration, the data acquisition system 1 can concentrate resources such as communication and storage on acquiring part data for parts to which a high priority has been set.

Note that the collection unit 11 may acquire part data of a part whose part priority is set higher more frequently. For example, the collection unit 11 may acquire part data for parts with a "high" part priority more frequently than parts with a "low" part priority. In this example, the collection unit 11 acquires body part data of body parts with a body part priority of "high" every day. On the other hand, the collection unit 11 acquires body part data of body parts with a "low" body part priority every 10 days. Note that the region priority and the frequency of acquiring region data corresponding thereto may be in three or more levels, or may be continuous values.

Furthermore, the priority setting unit 10 may set the region priority based on the presence or absence of abnormality in each region. At this time, the priority setting unit 10 sets a region priority of "high" for the region determined to be "abnormal". On the other hand, the priority setting unit 10 sets a region priority of "low" for the region determined to be "no abnormality". Furthermore, the priority setting unit 10 may set a criterion such as a threshold value for the severity of an abnormality for determining that an abnormality has occurred. For example, the priority setting unit 10 may set the part priority based on whether or not an abnormality that makes it impossible to continue operation occurs in each part.

Further, the collection unit 11 may control the acquisition of driving data by combining the group priority and the part priority. For example, the acquisition unit selects a group from which driving data is to be acquired with priority based on the group priority. The acquisition unit acquires the operation data of the elevator 2 included in the selected group in a preferential manner from the part data of the part prioritized based on the part priority. At this time, the collection unit 11 may stop acquiring body part data for elevators 2 included in groups that are not selected based on the group priority, regardless of the body part priority.

In this way, by narrowing down the elevators 2 for which part data are to be acquired based on the group priority, the amount of operation data to be acquired can be further suppressed. This further suppresses the acquisition of unnecessary driving data.

The data acquisition system according to the present disclosure can be applied to acquiring operational data from a plurality of elevators.

1 data acquisition system, 2 elevator, 3 control device, 4 remote monitoring device, 5 central management device, 6 specification information storage section, 7 monitoring section, 8 abnormality history storage section, 9 alarm history storage section, 10 priority setting section , 11 collection unit, 12 operation data storage unit, 13 analysis unit, 14 regular monitoring unit, 15 alarm monitoring unit, 100a processor, 100b memory, 200 dedicated hardware

Claims (10)

a monitoring unit that acquires abnormality information from each of the plurality of elevators, each of which is classified into one of a plurality of preset groups;
Operation data representing the operating status of each of the plurality of elevators is collected from elevators included in a group having a higher group priority set based on abnormality information acquired by the monitoring unit among the plurality of groups. A collection department that acquires priority information;
A data acquisition system comprising: The data acquisition system according to claim 1, wherein the group priority is set to be higher for groups with more occurrences of abnormalities. The data acquisition system according to claim 1 or 2, wherein the collection unit stops acquiring the operation data from elevators included in groups whose group priority is lower than a preset group threshold. The data acquisition system according to claim 1 or 2, wherein the collection unit acquires the operation data more frequently from elevators included in a group in which the group priority is set higher. The monitoring unit acquires, for each of the plurality of parts included in at least one of the plurality of elevators, information on a part abnormality for each of the plurality of parts,
The collection unit collects part data for each of the plurality of parts out of the driving data, the part having a higher part priority set based on the information of part abnormality acquired by the monitoring part among the plurality of parts. The data acquisition system according to any one of claims 1 to 4, wherein the data acquisition system acquires data with priority given to a region. The collection unit selects a group from which the operation data is to be acquired with priority based on the group priority, and selects a group from which the operation data is to be obtained with priority based on the group priority, and selects a part that is prioritized based on the part priority among the operation data of the elevator included in the selected group. 6. The data acquisition system according to claim 5, wherein the data is acquired preferentially from the body part data. With respect to an elevator including a plurality of parts, a monitoring unit that acquires information on a part abnormality for each of the plurality of parts;
The part priority set based on the part abnormality information obtained by the monitoring unit among the plurality of parts is set to the part data for each of the plurality of parts out of the operation data representing the operating status of the elevator. A collection unit that prioritizes acquisition from higher parts;
A data acquisition system comprising: The data acquisition system according to any one of claims 5 to 7, wherein the site priority is set to be higher for a site where more site abnormalities occur. The data acquisition system according to any one of claims 5 to 8, wherein the collection unit stops acquiring the part data of a part whose part priority is lower than a preset part threshold. The data acquisition system according to any one of claims 5 to 8, wherein the collection unit acquires the body part data of a body part to which the body part priority is set higher at a higher frequency.

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