JP6002463B2 - Elevator maintenance sales support system - Google Patents

Description

  The present invention relates to an elevator maintenance business support system.

  Japanese Patent Application Laid-Open No. 2010-95360 discloses a diagnosis at a monitoring center in maintenance. According to this publication, “[Solution means] is provided with a control panel 21 that controls the operation of the elevator and a monitoring device 22 that transmits information of the control panel 21 to the monitoring center 30. 30 is provided with a diagnostic instruction device 35 for transmitting an elevator diagnosis program for each purpose and an execution operation control signal of the elevator diagnosis program based on an external request to the monitoring device 22. In addition, it is possible to instruct execution of the elevator diagnosis program via the diagnosis instruction device 35 by an input from the portable terminal 38. " On the other hand, Japanese Patent Application Laid-Open No. 2010-198493 discloses that optimal data is provided to a user by using a mobile terminal operation status. In this publication, “[Solution Means] The purpose clarity level estimation unit 14 estimates the current domain and genre of the user from the action log to obtain the current level of goal clarity of the user. If there is, the behavior purpose estimation unit 16 estimates the user's current behavior purpose from the behavior log, and the purpose base information extraction unit 17 extracts the purpose base information based on the estimated behavior purpose, and the information selection unit When the purpose clarity is less than the threshold, the user attribute estimation unit 18 estimates the user attribute of the user from the action log, and the attribute base information extraction unit 19 The attribute base information is extracted based on the estimated user attribute, and the information selection unit 15 provides the attribute base information to the corresponding user terminal. "

JP 2010-95360 A JP 2010-198493 A

Patent Document 1 does not describe a means for acquiring the usage status of the maintenance worker portable terminal. Further, there is no description about a method for automatically determining optimum analysis conditions.

  Patent Document 2 describes that optimal data is provided to a user using a mobile terminal operation situation, but does not describe what analysis conditions are determined as optimal in elevator maintenance. .

  Therefore, an object of the present invention is to output the analysis result of the elevator / building analyzed under the optimal analysis conditions for each maintenance staff to the maintenance portable terminal.

In the present invention, the monitoring log of the elevator operation status and the terminal operation status (operation history etc.) log of the portable terminal of the maintenance staff who is the user are sequentially collected, and the optimal analysis conditions in the elevator maintenance defined by the association analysis policy setting script The analysis result of the elevator / building analyzed under the optimal analysis conditions for each maintenance staff is output to the maintenance portable terminal.

With the association analysis policy setting script, the analysis result regarding the elevator / building analyzed under the optimal analysis conditions for each maintenance staff can be acquired by the maintenance portable terminal, so that accurate maintenance work and sales activities are possible.

It is a figure which shows an example of the block diagram of the maintenance business support system of the elevator in Example 1. FIG. FIG. 3 is a diagram illustrating an example of a hardware configuration of a maintenance portable terminal according to the first embodiment. FIG. 2 is a diagram illustrating an example of a hardware configuration of an analysis apparatus in the first embodiment. It is a figure which shows an example of the sequence of the maintenance business support system of the elevator in Example 1. FIG. It is a figure which shows an example of the data structure of the maintenance portable terminal operation log in Example 1. FIG. It is a figure which shows the processing flow of the terminal operation log monitoring part in Example 1. FIG. It is a figure which shows an example of the processing flow of the terminal operation log analysis part in Example 1. FIG. 6 is a diagram illustrating an example of a processing flow of an automatic analysis instruction generation unit in Embodiment 1. FIG. It is a figure which shows an example of the structure of the elevator data in Example 1. It is a figure which shows an example of the structure of the terminal operation log analysis result in Example 1. It is an example of the association analysis policy setting script in Example 1 It is a figure which shows an example of the data structure of the monitoring system log 119 of the elevator in Example 1. FIG. It is a figure which shows an example of the analysis processing flow by the building / elevator analysis part in Example 1. FIG. FIG. 6 is a diagram illustrating an example of a clustering calculation processing flow in an analysis processing flow in the first embodiment. 6 is a diagram illustrating an example of a structure of an analysis result log table 1501 in Embodiment 1. FIG. 6 is a diagram illustrating an example of a graph of analysis results in Example 1. FIG. It is a figure which shows an example of the request | requirement user interface of the analysis result in Example 1. FIG. FIG. 6 is a diagram illustrating an example of an output user interface of an analysis result in the first embodiment. It is a figure which shows an example of the application using the map of the output user interface of the analysis result in Example 1. FIG. It is a figure which shows an example of the block diagram of the maintenance business support system of the elevator by a present Example in Example 2. FIG. It is a figure which shows an example of the processing flow of the monitoring system log process part in Example 2. FIG. It is a figure which shows an example of the sequence of the maintenance business support system of the elevator by a present Example in Example 2. FIG. It is a figure which shows an example of the request | requirement user interface of the analysis result by a present Example in Example 2. FIG.

  In the present embodiment, an example of an elevator maintenance sales support system that takes the operation status of the elevator and the operation status of the maintenance terminal as inputs and outputs the analysis result based on the optimal analysis conditions to the maintenance terminal will be described. The analysis conditions are, for example, “elevator model”, “building address”, “building use”, and the analysis types are “elevator failure probability” and “elevator maintenance contract cancellation probability”.

  FIG. 1 is a diagram showing an example of a configuration diagram of an elevator maintenance business support system according to the present embodiment. The elevator maintenance business support system 101 includes a building 102, a control center 103, and a maintenance portable terminal 104. The building 102 has an elevator 105, and the elevator has an elevator car 106 and other elements constituting an elevator (not shown) and an elevator monitoring system 107. The elevator monitoring system 107 and the control center 103 are connected by a network 125 such as a public communication network. The control center 103 includes an analysis device 108 and a PC 110 for browsing analysis results connected by a LAN 109 or the like. The analysis device 108 includes a log database 111, a communication device 112, a terminal operation log analysis unit 113, an automatic analysis instruction generation unit 114, an association analysis policy setting script 115, and an elevator / building analysis unit 116. The elevator / building analysis unit 116 includes a mathematical calculation unit 117 and a chart drawing unit 118. The maintenance portable terminal 104 includes a terminal operation log acquisition unit 123 and a terminal operation log monitoring unit 124. The elevator monitoring system 107 records the operation status of the elevator 105, for example, the travel time, information about various buttons such as operated buttons, stop floors, and weight sensors in the monitoring system log 116 in time series. The elevator monitoring system 107 stores the monitoring system log 119 in a cache (not shown) and transmits the monitoring system log 119 to the sequential analysis device 111 via the public communication network or the dedicated communication network 117. The analyzer 108 stores the received monitoring system log 119 in the log database 111 and updates it sequentially.

  In addition to the monitoring system log 119, the log database 111 includes elevator data 120 that records information such as the model and delivery year of the elevator 105, the customer's person in charge and contact information, the name, employee number, affiliation, years of experience, It has maintenance staff data 121 that records information such as models that can be handled and education history, and maintenance schedule data 122 that records a maintenance schedule for each elevator 105 in the area. Moreover, you may have a log which is not shown in figure, such as an emergency call log which recorded the emergency call by the past malfunction.

  The terminal operation log acquisition unit 123 of the maintenance portable terminal 104 performs operations performed on the terminal by the user, for example, activation and termination of a certain application, screen transition, and keyboard and mouse operations described later in FIG. Record in the operation log 501 one by one. The terminal operation log monitoring unit 124 monitors the maintenance portable terminal operation log 501, and if certain characteristics appear, the maintenance portable terminal operation log 501 is transmitted to the terminal operation log of the analyzer 108 in the completed center 103 through a public wireless line or the like. It transmits to the analysis part 113. The terminal operation log analysis unit 113 receives the maintenance portable terminal operation log 501, performs analysis, and passes it to the analysis result analysis instruction generation unit 114. The analysis result analysis instruction generation unit 114 determines the analysis instruction to the elevator / building analysis unit 116 by comparing the analysis result of the maintenance portable terminal operation log 501 with the contents of the association analysis policy setting script 115, and the determined method Then, an analysis instruction is issued to the elevator / building analysis unit 116. The determined method is, for example, “calculate an analysis result limited to a building in a specific area”, “calculate an analysis result limited to an elevator of a specific model”, or the like. The elevator / building analysis unit 116 acquires the monitoring system log 116 from the log database 111. Other data such as elevator data 120 may be acquired together. The mathematical calculation unit 117 performs mathematical calculation using the instruction generated by the automatic analysis instruction generation unit 114 and the data acquired from the log database 111 as input, and calculates the analysis result.

  The chart drawing unit 118 receives the mathematical calculation result as an input, draws the corresponding chart, and uses it as a chart of the elevator / building analysis result. The elevator / building analysis unit 116 acquires and associates the analysis results and the analysis result chart, and transmits them to the PC 110 in the control center or the maintenance portable terminal 104 accompanied by the maintenance staff.

  FIG. 2 is a diagram illustrating an example of a hardware configuration of the maintenance portable terminal. The maintenance portable terminal 104 of this example includes a network I / F 201, a central processing unit 202, an instruction input device 203, a storage device 204, a secondary storage device 205, a display device 206, and a position information transmission device 207. Have. Each device is connected by an internal bus 208, and data can be transmitted and received between the devices. The network I / F 201 is a network card such as a LAN card, for example, and receives input / output from the analysis device 108 of the control center 103 via the network.

  The central processing unit 202 is mainly composed of a microprocessor, and executes a program such as an analysis program stored in the storage device 204 or the secondary storage device 205. The instruction input device 203 is a pointing device such as a keyboard, a mouse, and a touch panel, for example. The display device 206 is realized by, for example, a display adapter and a liquid crystal panel. The storage device 204 is realized by, for example, a random access memory (RAM), a read only memory (ROM), or the like, and stores a program executed by the central processing unit 202, data processed in the present device, and the like. The secondary storage device 205 is composed of, for example, a hard disk, a DVD or a CD and their drives, or a nonvolatile memory such as a flash memory, and stores a program executed by the central processing unit 202, data processed by this device, and the like. To do.

  FIG. 3 is a diagram illustrating an example of a hardware configuration of the analysis apparatus. The analysis apparatus 108 of this embodiment includes a network I / F 301, a central processing unit 302, an instruction input device 303, a storage device 304, a secondary storage device 305, and a display device 306. Each device is connected by an internal bus 307, and data can be transmitted and received between the devices. The network I / F 301 is, for example, a network card such as a LAN card. The network I / F 301 receives input / output from the maintenance portable terminal 104 that is a user terminal, the PC 110, or the elevator monitoring system 107 via the network, and is stored in the log database 111. Log is acquired via the network. The central processing unit 302 is mainly composed of a microprocessor, and executes a program such as an analysis program stored in the storage device 304 or the secondary storage device 305. The instruction input device 303 is a pointing device such as a keyboard and a mouse. The instruction input may be performed from an instruction input device of another terminal such as the maintenance portable terminal 104 or the PC 110 connected via a network such as the LAN 109 or the public communication network / dedicated communication network 117. The display device 306 is realized by, for example, a display adapter and a liquid crystal panel.

  The storage device 304 is realized by, for example, a random access memory (RAM), a read only memory (ROM), or the like, and stores a program executed by the central processing unit 302, data processed in the present device, and the like. The secondary storage device 305 is composed of, for example, a hard disk, a DVD or a CD and their drives, or a nonvolatile memory such as a flash memory, and stores a program executed by the central processing unit 302, data processed by this device, and the like. To do.

  FIG. 4 is a diagram showing an example of a sequence of the elevator maintenance business support system. The elevator monitoring system 107 of the maintenance business support system 101 sequentially transmits the monitoring system log 116 to the analyzer 108 (S401). The maintenance worker portable terminal 104 sequentially transmits the terminal operation log 501 to the sequential analysis device 108 (S402). Next, the analyzer 108 performs terminal operation log analysis processing (S403), generates an elevator log analysis instruction (S404), and performs elevator analysis processing (S405). The elevator log analysis instruction (S404) may be an instruction generated by the maintenance person portable terminal 104 by pressing a button or the like by the user while the analysis apparatus 108 and the maintenance person portable unit 104 are connected to the communication session. Next, the analyzer 108 transmits the analysis result to the maintenance portable terminal 104 (S406). When the maintenance portable terminal 104 receives the analysis result, the maintenance portable terminal 104 transmits an analysis result acquisition response to the analysis device 108 (S407). FIG. 5 is a diagram illustrating an example of a data structure of the maintenance portable terminal operation log. The terminal operation log acquisition unit 104 of the maintenance portable terminal 104 records the operation input by the user in the operation log 501 one by one. Each record of the operation log 501 has a log record ID 502, a time 503, position information 504, an application 505, and an operation / event 506. For example, if the terminal operation log acquisition unit 123 receives an operation of “user presses [OK] button in customer management application”, the terminal operation log acquisition unit 123 acquires the reception time from the location information transmission device 207 at time 503. The latitude / longitude at the time of the recording is recorded in the position information 504, the application used is recorded in the application 505, and the operation content is recorded in the operation / event 506. Each record is managed by a log record ID 502.

  FIG. 6 is a diagram illustrating a processing flow of the terminal operation log monitoring unit. The terminal operation log monitoring unit 124 monitors the terminal operation log 501 that is sequentially updated by the terminal operation log acquisition unit 123. If a specific event is detected, the terminal operation log monitoring unit 124 transmits the terminal operation log 501 to the analysis device 116. First, the terminal operation log monitoring unit 124 first acquires the terminal operation log 501 stored in the storage unit 305 (S601). Next, if a request for an analysis result is detected (S602), the terminal operation log 501 is transmitted to the analysis device 116 (S603), and a log acquisition response from the analysis device is received (S604). The detection of the analysis result request is, for example, detection of pressing an “acquire information” button, which will be described later in FIG. 17, detection of screen transition of the application, transition beyond the threshold of position information, It may be detection of a connection of a maintenance terminal. The terminal operation log monitoring unit 124 repeats this process while the maintenance portable terminal 104 is activated, and ends this processing flow when detecting a sleep or termination instruction of the maintenance portable terminal 104 (S605).

  FIG. 7 is a diagram illustrating an example of a processing flow of the terminal operation log analysis unit. The terminal operation log analysis unit 113 first acquires the transmission terminal operation log 501 transmitted by the terminal operation log monitoring unit 124 of the maintenance terminal 104 (S701), and transmits a log acquisition response to the maintenance terminal 104 (S702). Next, the association analysis policy setting script 115 is acquired (S703), and the analysis condition score is calculated (S704). Here, the analysis condition score will be described later.

Calculation is performed using Equation 1. Next, the analysis result is stored in the analysis result 1001 of the terminal operation log (S705). Next, the terminal operation log analysis result 1001 is transmitted to the automatic analysis instruction generation unit 114 (S706).

  FIG. 8 is a diagram illustrating an example of a processing flow of the automatic analysis instruction generation unit. First, the automatic analysis instruction generation unit 114 acquires the terminal operation log analysis result 1001 from the terminal operation log analysis unit 113 (S801). Next, the association analysis policy setting script 1101 is acquired (S802), and analysis conditions are determined (S803). Analysis conditions will be described later

Determine using Equation 2. Next, an analysis instruction is issued to the elevator / building analysis unit 116 using the determined analysis conditions (S804).

  FIG. 9 is a diagram illustrating an example of the structure of elevator data. The elevator data 120 is a database for managing customer elevators to be managed. The elevator data 901 is an elevator ID 901, an elevator model 902, an elevator delivery year 903, a building name 904 having an elevator, a total number of floors 904, and a total floor area 905 of the building. , A building address 906, and a branch office 906 in charge of management.

  Equation 1 shows an example of a score calculation formula for analysis conditions. The terminal operation log analysis unit 113 shown in FIG. 7 performs analysis condition score calculation (S704) using this equation. The analysis conditions include, for example, “building address”, “elevator delivery year”, “building use”, and the like, and this formula is an example of a score calculation formula using “building address” as an analysis condition. By using this formula, it is possible to score “building addresses” frequently used by specific maintenance personnel at specific maintenance system terminals 104 in the order of the number of operations and work time.

  FIG. 10 is a diagram illustrating an example of the structure of the terminal operation log analysis result. The terminal operation log analysis unit 113 stores the score of each analysis condition calculated using Equation 1 in the terminal operation log analysis result 1001. The terminal operation log analysis result 1001 has fields for an analysis condition 1002 and a score 1003. The analysis condition 1002 includes, for example, “building address”, “elevator delivery year”, “building use”, and the like. An example in which the analysis condition 1002 is “building address” will be described. For example, the “building address” for performing the work by the maintenance staff 104 over the number of times and time by the maintenance staff 104 is stored in order of the score in units of municipalities.

  FIG. 11 is an example of an association analysis policy setting script. The association analysis policy setting script 115 defines constants used for processing by the terminal operation log analysis unit 113 and the automatic analysis instruction generation unit 114, and associates the analysis policies of the terminal operation log analysis unit 113 and the automatic analysis instruction generation unit 114 with each other. It is a script to do. The association analysis policy setting script 115 includes setting information 1101, a maintenance terminal analysis policy 1102, and an analysis instruction policy 1103. The setting information 1101 includes a script setting date and a setter name. The terminal operation log analysis unit 113 performs an analysis with reference to the maintenance terminal analysis policy 117 by “acquisition of association analysis policy setting script 115 (S703)”. For example, the analysis is performed with reference to the policy 1104 in which the analysis target days are the latest 60 days. An analysis target application policy 1105 may be set. The automatic analysis instruction generation unit 114 determines an analysis instruction by referring to the analysis instruction policy 1103 by acquiring the association analysis policy setting script 115 (S803). For example, “building address” of the analysis result 1001 of the terminal operation log ], The analysis instruction when “Chiyoda-ku” has a high score is determined. The analysis instruction policy 1103 has an analysis condition determination formula 1106. A formula for determining the analysis conditions will be described later in Equation 2. Equation 2 shows an example of a determination formula for analysis conditions. This formula is an example of a determination formula using “building address” as an analysis condition. Even if the maintenance portable terminal 104 requests the analysis result of the building having the same address in “Chiyoda-ku Kanda”, for example, the automatic analysis instruction generation unit 114 determines that the address of “Chiyoda-ku” "Chiyoda-ku" is determined for the maintenance portable terminal 104 that performs the work, and "Kanto district" is determined for the maintenance portable terminal 104 used by maintenance personnel who often use the address of the "Kanto district" Then, by issuing an analysis instruction to the elevator / building analysis unit 116, it is possible to automatically present an analysis result according to the usage status of the maintenance staff.

  For comparison, if you do not use the terminal operation status (operation history, etc.) log of the maintenance staff's mobile terminal as before, “Specify the target building address as the analysis condition” and “Specify the target elevator model as the analysis condition. The instruction for specifying the analysis conditions such as “Specify” is displayed on the terminal, and it takes time for the maintenance person to manually determine and specify the desired analysis conditions. For example, if you want to view the analysis results of the same elevator in Chiyoda-ku, one maintenance worker wants to see the analysis results compared with other elevators in Chiyoda-ku, but one maintenance worker compared with other elevators in the entire Kanto area Suppose you want to view the analysis results. In that case, it is necessary for each maintenance person to determine and designate “Chiyoda-ku” and “Kanto-district” as analysis conditions for the building address. However, if the analysis policy setting script is used, the above instruction is not displayed on the terminal, and the analysis result based on the optimal analysis condition determined from the past operation log of the maintenance staff is automatically presented. Thereby, optimal maintenance is performed.

  FIG. 12 is a diagram showing an example of the data structure of the elevator monitoring system log. The elevator monitoring system 107 records the operation status of the elevator 105 in the monitoring system log 119 sequentially in time series. The monitoring system log 119 includes an elevator ID 901 for discriminating each elevator 105, an acquisition date 1201 and acquisition time 1202 indicating the acquisition date and time of each record in the log, the number of activations 1203 per unit time, which is the operation status of the elevator 105, Information such as the number of running minutes 1204, operation statuses of various switches such as a maintenance switch operation count 1205 which is a temporary stop switch for maintenance, and input information of various sensors such as a weight sensor (not shown) are stored.

  FIG. 13 is a diagram illustrating an example of an analysis processing flow by the building / elevator analysis unit. In this example, a flow for detecting the probability of an emergency call from the monitoring system log and the past emergency call log will be described. The analysis unit 112 first receives an analysis result request from the maintenance portable terminal 104 or the like (S1301). Next, the monitoring log data of the elevator corresponding to the initial analysis condition is acquired from the log database 111 (S1302), and the monitoring log data of the past specific period is extracted (S1303).

  The initial analysis condition and period may be received from the maintenance portable terminal 104 or the like, or the analysis unit 112 may hold in advance as an initial condition. Next, a specific index of the monitored log data is calculated (S1304). The specific index is, for example, a numerical value of the number of times of unit time activation of the monitoring system log 116, an average or variance, a normalized value thereof, and the like. Further, a clustering operation is performed on the specific index of the monitoring system log (S1305). The cluster is shown in FIG. Furthermore, the emergency call rate of each cluster is calculated (S1307) by acquiring the emergency call log data of the past specific period from the log database (S1306). Subsequently, the latest monitoring log data of the analysis target elevator is obtained from the log database 111 (S1308), and the mathematical calculation unit 114 calculates a specific index of the analysis target elevator (S509). Based on the result, a cluster to which the elevator to be analyzed belongs is calculated (S1310), and an analysis result numerical value is calculated (S1301). The chart drawing unit 115 draws an analysis result graph corresponding to the numerical value of the arithmetic analysis result (S1312). Subsequently, the analysis result is transmitted to the maintenance portable terminal 104 or the PC 110 via the wireless network through the wireless communication unit 113, the LAN 109, or the like (S1313). By receiving the analysis result acquisition response transmitted by the maintenance portable terminal 104 or the PC 110 (S1314), the transmission of the analysis result is confirmed. If a new reanalysis request with a changed analysis condition is received (S1315), the same flow is repeated from S1302, and if not received, the process ends.

  FIG. 14 is a diagram illustrating an example of a clustering calculation processing flow in the analysis processing flow. This flow corresponds to the clustering operation (S1105) step in the analysis processing flow shown in FIG. 11, and is executed by the mathematical calculation unit 117. For example, the elevator monitoring log is shown in a two-axis scatter diagram such as the travel time per month and the number of times of pressing a specific switch per month, and can be clustered into several groups having different characteristics. This flow can be implemented by a clustering method such as the k-means method or the SVM method, or a similar method. The mathematical calculation unit 115 first acquires target log data from the log database 111 (S1401). The target log data is, for example, an elevator monitoring log. Next, biaxial indexes are acquired (S1402).

  As this index, an item included in the target log data may be directly acquired, or the index calculated in S509 of FIG. 5 may be used. Next, these indices are plotted on a two-dimensional scatter diagram (S1403). Furthermore, the cluster division number n is acquired. (S1404). The division number n may be designated by the user, or a value held by the mathematical calculation unit 114 or the like may be used as an initial setting value. Subsequently, n temporary centroid points are randomly specified for the scatter diagram (S1405), and the distance between each plot point and the n temporary centroid points is calculated (S1406). Each plot point indicates a unique elevator from which the elevator monitoring log is acquired. Next, each plot point is assigned to a cluster of temporary centroid points having the shortest distance (S1407). Further, the centroid point of each cluster is calculated (S1408), the distance between each plot point and n centroid points is calculated again (S1409), and each plot point is assigned to the cluster of centroid points with the shortest distance (S1409). S1410). The processing from S1408 is repeated until all plot points are assigned to the same cluster as the previous time. When all plot points are assigned to the same cluster as the previous time (S1411), clustering is performed on the analysis result table described later in FIG. The result of the process is stored (S1412), and the process ends.

  FIG. 15 is a diagram illustrating an example of the structure of the analysis result log table 1501. The elevator / building analysis unit 116 stores a result obtained by analyzing the log acquired from the log database 111, for example, the monitoring system log 119, in the analysis result log table 1501. The analysis result log table 1501 includes an elevator ID 1001, an analysis target period 1502, an index 1503, and a clustering analysis result 1504. The elevator ID 1001 is an ID unique to the elevator to be analyzed, and corresponds to the elevator ID 1001 in the elevator monitoring system log 119 shown in FIG. The analysis target period 1202 has a start date 1505 and an end date 1506.

  This corresponds to the specific period indicated in S1103 of the analysis processing flow by the analysis unit illustrated in FIG. The index 1503 corresponds to the specific index calculated in S1104 of the analysis processing flow by the analysis unit illustrated in FIG. 11, and stores, for example, the average travel time 1507 per day, the travel time standard deviation 1508, and the like in the analysis target period 1502. . The clustering analysis result 1504 is a result calculated in the clustering processing flow shown in FIG. 11 and corresponds to the result stored in S1212. For example, the allocation cluster 1509, the centroid distance 1510, the centroid coordinates 1511, and the like are stored.

  FIG. 16 is a diagram illustrating an example of a graph of analysis results. The chart drawing unit 118 receives the analysis result table 1601 and draws and outputs a graph 1601 of the analysis result. For example, a plot point 1602 corresponding to each elevator ID 901 is drawn with the average travel time 1507 per day on the vertical axis and the travel time standard deviation 1508 on the horizontal axis. Further, the chart drawing unit 118 draws a point 1603 corresponding to a specific elevator ID with a plot point having a shape different from that of, for example, a star shape. Also, the cluster boundary 1604 is drawn, and the assigned cluster name 1609 is drawn.

  FIG. 17 is a diagram illustrating an example of a user interface requesting analysis results. The user can obtain an appropriate analysis result by simply pressing the minute presentation button without setting the analysis item or the like by himself / herself. When the maintenance portable terminal 104 or the PC 110 detects the login of the user, the maintenance portable terminal 104 or the PC 110 outputs the analysis result requesting user interface 901 to an output device (not shown) such as a display. The analysis result requesting user interface 1701 includes a user attribute 1702, a specific period schedule 1703, and a maintenance staff terminal operation log request (S <b> 402) event “get information” button 1704. A user attribute 1702 indicates information on a user who is currently logged in, targeting a user who is a maintenance worker or a salesperson. For example, it has a user name 1705, job title 1706, and affiliation 1707.

  A schedule 1703 for a specific period indicates, for example, a certain day's schedule of the user indicated by the user attribute 902, and includes a scheduled time 1708, a name 904 of a building heading for maintenance, an elevator ID 901, and the like. The user attribute 1702 is generated by the analysis unit 112 acquiring the maintenance staff data 119 from the log database 111, and the specific period schedule 1703 is generated by the analysis unit 112 acquiring the maintenance staff schedule data 120 from the log database 111. When the user presses the “Get Information” button 1704 on the screen, the maintenance portable terminal 104 or the PC 110 generates a maintenance staff terminal log request (S402) event in the sequence diagram shown in FIG.

  FIG. 18 is a diagram illustrating an example of an output user interface of analysis results. The maintenance portable terminal 104 or the PC 110 receives the elevator log analysis result transmitted from the analysis device 108 and outputs the analysis result output user interface 1801 in S406. The analysis conditions are automatically determined according to the user from the past maintenance terminal operation log 501, so that the maintenance personnel who are users do not need to determine the analysis conditions themselves and efficiently browse the analysis results. It becomes possible to do. The analysis result output user interface 1801 includes user attributes 902, elevator basic information 1802, and analysis results 1803. The elevator basic information 1802 is generated by the elevator / building analysis unit 116 acquiring the elevator data 118 from the log database 111. The elevator basic information 1802 includes a scheduled time 1708, a building name 904, an elevator ID 901, a building application 905, an elevator model 902, a customer contact name 1804 such as a building owner or a management company, and a customer contact 1805.

  The maintenance portable terminal 104 draws the analysis result 1803 from the analysis result received in the elevator log analysis result transmission S406 from the analysis device. The analysis result 1803 has an analysis type 1806 such as a churn rate analysis, for example, an analysis condition 1807 such as a model or a building address, an analysis result graph 1601, a clustering result 1808, a “reanalysis” button 1809, and a “return” button 1810. The clustering result 1808 indicates the clustering result for each analysis type 1806. For example, if the analysis type is “churn rate analysis”, the churn rate of the elevators included in the cluster A is 0.2%, and the elevators included in the cluster B. It shows that the churn rate of 5.6%. When the maintenance portable terminal 104 detects an event in which the user changes the analysis type 1806 and the analysis condition 1807 and presses the “reanalyze” button 1809, the maintenance portable terminal operation log is transmitted again (S402), Present the analysis results. If a “return” button 1013 is pressed, the screen transitions to an analysis result request user interface screen 1701 shown in FIG.

  FIG. 19 is a diagram showing an example of an application using an analysis result output user interface using a map. Similar to the analysis result output user interface 1801 shown in FIG. 18, the application 1901 of the analysis result output user interface using a map has user attributes 902, elevator basic information 1802, and analysis results 1803. Furthermore, as an analysis result, it has the map 1902 of the present position which the one information generation apparatus 207 acquired from the external map system which is not illustrated. The maintenance portable terminal 104 superimposes and draws the current position 1903 on the map 1902. Further, when the maintenance portable terminal 104 detects that there is an elevator assigned to a specific cluster in the area indicated by the map 1902, the maintenance portable terminal 104 draws the elevator analysis result information 1904. The elevator analysis result information 1904 includes building name 904, elevator ID 901, assignment cluster 1509, and assignment cluster explanation information 1905 stored in a database (not shown). This interface enables maintenance personnel who are users of this system to perform effective maintenance and sales by detecting the presence of elevators that are assigned to clusters that should be noted in the vicinity. . For example, if it is detected that there is an elevator that has been analyzed with a high probability of churn near the current location, it will be possible to consult and ask the building administrator about the problem. Maintenance and sales are possible.

  According to the present embodiment, by monitoring and analyzing the terminal operation status (operation history, etc.) of the portable terminal of the maintenance staff, the analysis result of the elevator / building with the analysis conditions suitable for the maintenance situation of the maintenance staff is transmitted to the maintenance terminal. It becomes possible. The analysis conditions vary widely, for example, elevator model, building address, building use, etc. However, since this system 101 automatically determines according to the terminal operation history for each maintenance person who is the user, the maintenance person who is the user himself / herself analyzes the analysis conditions. Therefore, it is possible to browse the analysis result efficiently.

  In the present embodiment, the elevator monitoring system 107 and the control center 103 are not connected to the elevator monitoring system described in the first embodiment via a network 125 such as a public communication network, and even if sequential data acquisition is not possible. A system is described in which the monitoring system log 119 is stored, and maintenance personnel can go directly and collect data so that the analysis result of the elevator can be provided.

  FIG. 20 is a diagram illustrating an example of a configuration diagram of an elevator maintenance business support system according to the present embodiment. The elevator maintenance sales support system 2001 according to the present embodiment has a log storage system 2002 in addition to a part of the configuration shown in FIG. 1, and the log storage system 2002 stores the connection history with the maintenance portable terminal 104. Connection history 2003 and monitoring system log 119. Since the building 102 and the control center 103 are not connected via a network or the like 125, the elevator monitoring system 107 cannot transmit the sequential monitoring system log data 116 to the control center 103. Therefore, the log storage system 2002 acquires and stores the monitoring system log 119. The maintenance staff / sales staff are accompanied by the maintenance / sales support terminal 104 and visit the target building 102 regularly or irregularly. At this time, the monitoring system log processing unit 2204 of the maintenance portable terminal 104 acquires the monitoring system log data 119 and transmits it to the control center 103 when connected to the log storage system 2202 by the maintenance staff. The maintenance / sales support terminal 104 records information at the time of connection in the sequential connection history 2203. The connection information includes, for example, a connection date and time 2304, a connection user name 2305, and the like described later in FIG. Since the maintenance staff does not always go around the building 102 sequentially, the monitoring system log 116 accumulated and stored in the log management system 1602 has a large capacity. In that case, the log storage system may store the monitoring system log data 119 by performing a capacity compression process.

  FIG. 21 is a diagram illustrating an example of a processing flow of the monitoring system log processing unit. The monitoring system log processing unit 2004 detects an event that the maintenance portable terminal 104 and the log storage system 2002 are connected by the maintenance staff, and starts a communication session with the log storage system 2002 (S2101). Next, the monitoring system log processing unit 2004 requests the monitoring system log 119 from the log storage system (S2102), and acquires the monitoring system log 119 (S2103). Subsequently, the acquired monitoring system log 119 is transmitted to the control center 103 (S2104). Also, the maintenance portable terminal operation log 501 is transmitted to the control center 103 (S2105). By this processing, even if the elevator monitoring system 107 and the control center 103 are not connected by the network 125 such as a public communication network and the sequential data acquisition is impossible, the control center 103 acquires and analyzes the monitoring system log 119. Can be carried out.

  FIG. 22 is a diagram illustrating an example of a sequence of the elevator maintenance business support system according to the present embodiment. The elevator monitoring system 107 stores the sequential monitoring system log data 119 in the log management system 2202 (S2201). The maintenance / sales support terminal 104 detects a connection with the log management system 2202, starts a communication session (S2101), and requests a monitoring system log (S2102). The log storage system 2002 transmits the monitoring system log 119 to the maintenance portable terminal 104 (S2103). The maintenance portable terminal 104 transmits the received monitoring system log 119 to the analyzer 108 of the control center 103 (S2104). The analysis device 108 may store the received monitoring system log 119 in the log database 111. Further, the maintenance portable terminal 104 transmits the maintenance portable terminal operation log 501 to the analysis device 108 of the control center 103. Subsequently, the analysis apparatus 108 performs the same analysis (S2202) as in the first embodiment, and transmits the analysis result to the maintenance portable terminal 104 (S2106).

  FIG. 23 is a diagram illustrating an example of an analysis result requesting user interface according to the present embodiment. The analysis result requesting user interface 2301 according to the present embodiment includes a part of the analysis result requesting user interface 1701 shown in FIG. 17, a button 2202 for starting communication with the log storage system 2202, and connection destination information. A presentation interface 2303 is included. The connection destination information presentation interface 2203 includes a previous connection date and time 2304, a previous connection user name 2305, a log capacity 2306 stored in the log storage system 2002, and the like. The maintenance / sales support terminal 104 detects an event in which the user has acquired 1704 information acquisition while connected to the log storage system 2002, and starts a connection session with the log management system 2202. Subsequently, the maintenance portable terminal 104 acquires the connection destination information 2302 stored in the connection history 2303 and presents it on the requesting user interface 2301 of the analysis result. Thereafter, the maintenance / sales support terminal 104 detects an event in which the user presses the information acquisition button 1704, requests an analysis result from the control center 103, acquires the analysis result, and presents the analysis result. The analysis result is presented by transitioning to another screen. For example, it is presented on the analysis result presentation interface shown in FIG.

  According to this embodiment, even when the elevator monitoring system 107 and the control center 103 are not connected to the network and the sequential data acquisition is impossible, the log storage system 2002 stores the monitoring system log 119 in the elevator monitoring system. The maintenance portable terminal 104 connected during the maintenance crew's patrol collects data and transmits it to the control center 103, so that the maintenance portable terminal 104 can output the same analysis result as in the first embodiment. Become.

In addition, this invention is not limited to an above-described Example, Various modifications are included. For example, the above-described embodiments have been described in detail for easy understanding of the present invention, and are not necessarily limited to those having all the configurations described. Further, a part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment. Further, it is possible to add, delete, and replace other configurations for a part of the configuration of each embodiment.
Each of the above-described configurations, functions, processing units, processing means, and the like may be realized by hardware by designing a part or all of them with, for example, an integrated circuit. Each of the above-described configurations, functions, and the like may be realized by software by interpreting and executing a program that realizes each function by the processor. Information such as programs, tables, and files for realizing each function can be stored in a recording device such as a memory, a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

  Further, the control lines and information lines indicate what is considered necessary for the explanation, and not all the control lines and information lines on the product are necessarily shown. Actually, it may be considered that almost all the components are connected to each other.

101 Maintenance Sales Support System 102 Building 103 Control Center 104 Maintenance / Sales Support Terminal 105 Elevator 106 Elevator Cage 107 Elevator Monitoring System 108 Analyzer 111 Log Database 115 Association Analysis Policy Setting Script

Claims (3)

A log database for accumulating monitoring system logs obtained by the elevator monitoring system;
Maintenance mobile terminals,
A terminal operation log analysis unit for analyzing a terminal operation logs of the maintenance mobile terminal,
Using the analysis result of the terminal operation log analysis unit, and a related analytical policy configuration script associated with the analysis items corresponding to the operation frequency and the operation frequency of each type of operation of the maintenance portable terminal, the terminal operation An automatic analysis instruction generator that calculates analysis items and determines analysis instruction contents based on the operation frequency of
An elevator / building analysis unit that acquires and analyzes a monitoring system log from the log database in accordance with the determined analysis instruction content;
The maintenance portable terminal outputs and outputs the analysis result of the elevator / building analysis unit. The elevator maintenance / management system according to claim 1, wherein a monitoring system log obtained by the elevator monitoring system is transmitted to the log database via the maintenance portable terminal. Management system. A maintenance / management method for an elevator,
A terminal operation log analysis step for analyzing the terminal operation log of the maintenance mobile terminal;
Using the analysis result of the terminal operation log analysis step, the association analysis policy setting script that associates the operation frequency for each type of operation of the maintenance portable terminal and the analysis item according to the operation frequency, the terminal operation An automatic analysis instruction generation step for calculating analysis items and determining analysis instruction contents based on the operation frequency of
Elevator / building analysis step for acquiring and analyzing the monitoring system log from the log database for accumulating the monitoring system log obtained by the elevator monitoring system according to the determined analysis instruction content;
The maintenance portable terminal outputs the analysis result of the elevator / building analysis step;
Elevator maintenance and management method characterized by comprising:

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