JP7217658B2 - Automatic door monitoring system and failure prediction information generator - Google Patents

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an automatic door monitoring system for monitoring the state of an automatic door and a failure prediction information generating device.

As a conventional automatic door monitoring system, there is known a system that predicts when to perform automatic door maintenance based on the number of times the door is opened and closed, and the number of times an error such as a stop caused by an obstacle during the door opening/closing operation occurs (for example, , see Patent Document 1).

Japanese Patent Application Laid-Open No. 2003-090169

However, in the conventional automatic door monitoring system, it is unclear how to predict the maintenance timing of the automatic door from the number of times the door is opened and closed, and it is possible to actually predict the maintenance timing of the automatic door. There is a problem that it is unclear whether

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide an automatic door monitoring system and a failure prediction information generating apparatus capable of supporting predictive maintenance of automatic doors.

An automatic door monitoring system according to the present invention comprises an information generation section for generating failure prediction information indicating prediction of failure of an automatic door, and an information notification section for notifying the failure prediction information generated by the information generation section, The information generation unit is characterized in that the failure prediction information is generated based on a change in the information output from the automatic door from a normal state.

With this configuration, the automatic door monitoring system of the present invention generates failure prediction information for the automatic door based on a change in information output from the automatic door from a normal state, and notifies the generated failure prediction information. It can assist in predictive maintenance of doors.

In the automatic door monitoring system of the present invention, the information output from the automatic door includes the current value of the motor that drives the automatic door, and the information generation unit generates The failure prediction information may be generated.

With this configuration, the automatic door monitoring system of the present invention generates the failure prediction information based on the change in the current value of the motor that drives the automatic door from normal. It can assist in predictive maintenance of automatic doors in the presence of resistance.

In the automatic door monitoring system of the present invention, the information output from the automatic door includes the moving speed of the automatic door in at least one operation of opening and closing the automatic door, and the information generating unit comprises: The failure prediction information may be generated based on a change in the moving speed from normal.

With this configuration, the automatic door monitoring system of the present invention generates failure prediction information based on a change from normal in the movement speed of the automatic door in at least one operation of opening and closing the automatic door. It can assist in predictive maintenance of automatic doors when there is abnormal resistance to door movement of the automatic door.

In the automatic door monitoring system of the present invention, the information output from the automatic door includes the time required for at least one operation of opening and closing the automatic door, and the information generation unit generates The failure prediction information may be generated based on a change in .

With this configuration, the automatic door monitoring system of the present invention generates failure prediction information based on a change in the time required for at least one operation of opening and closing the automatic door from the normal time, so that movement of the automatic door It can assist in predictive maintenance of automatic doors when there is abnormal resistance to

In the automatic door monitoring system of the present invention, the information output from the automatic door includes vibration generated in the automatic door during at least one operation of opening and closing the automatic door, and the information generation unit The failure prediction information may be generated based on a change from normal.

With this configuration, the automatic door monitoring system of the present invention generates failure prediction information based on changes from normal vibrations occurring in the automatic door during at least one operation of opening and closing the automatic door. can assist in predictive maintenance of automatic doors when abnormal resistance to door movement exists.

In the automatic door monitoring system of the present invention, the information output from the automatic door includes the number of revolutions of the motor driving the automatic door in at least one operation of opening and closing the automatic door, and the information generation The unit may generate the failure prediction information based on a change in the number of times from a normal state.

With this configuration, the automatic door monitoring system of the present invention generates failure prediction information based on the change in the number of rotations of the motor that drives the automatic door from normal in at least one operation of opening and closing the automatic door. Therefore, it is possible to support predictive maintenance of automatic doors in the presence of stretched timing belts and loose screws of parts such as doors, guide rails, hanger rails, and door hangers.

In the automatic door monitoring system of the present invention, the information output from the automatic door includes the sensitivity of the sensor of the automatic door, and the information generating unit generates the failure prediction information based on the change in the sensitivity from the normal state. may be generated.

With this configuration, the automatic door monitoring system of the present invention generates failure prediction information based on a change in the sensitivity of the sensor of the automatic door from normal. Conservation can be assisted.

In the automatic door monitoring system of the present invention, the information generating unit acquires the degree of deterioration of the parts related to the change in the information output from the automatic door based on the degree of change from the normal state, The acquired degree of deterioration may be included in the failure prediction information.

With this configuration, the automatic door monitoring system of the present invention includes, in the failure prediction information, the degree of deterioration of the parts related to the change from the normal state of the information output from the automatic door. Conservation can be assisted.

In the automatic door monitoring system of the present invention, the information generator may automatically generate a report containing the failure prediction information.

With this configuration, the automatic door monitoring system of the present invention automatically generates a report containing failure prediction information, so there is no need for a worker to generate a report by looking at the state of the automatic door at the site, improving convenience. can do.

In the automatic door monitoring system of the present invention, the information notification section may automatically transmit the report to the owner of the automatic door.

With this configuration, the automatic door monitoring system of the present invention automatically transmits a report including failure prediction information to the owner of the automatic door, thereby improving convenience.

The failure prediction information generating device of the present invention includes an information generation unit that generates failure prediction information indicating prediction of failure of an automatic door, and the information generation unit detects changes in the information output from the automatic door from a normal state. The failure prediction information is generated based on.

With this configuration, the failure prediction information generating apparatus of the present invention generates failure prediction information for the automatic door based on changes in the information output from the automatic door from normal, thereby supporting predictive maintenance of the automatic door. can be done.

The automatic door monitoring system and failure prediction information generating device of the present invention can support predictive maintenance of automatic doors.

1 is a block diagram of an automatic door monitoring system according to one embodiment of the present invention; FIG. 2 is a block diagram of the automatic door-side system shown in FIG. 1; FIG. FIG. 3 is a front view of the automatic door shown in FIG. 2 with the driving device exposed; FIG. 4 is a side view of the automatic door shown in FIG. 3; FIG. 3 is a block diagram of an automatic door-side system in an example different from the example shown in FIG. 2; 3 is a flow chart of the operation of the data converter shown in FIG. 2 when abnormal information is generated based on a change in motor current value from normal. FIG. 4 shows an example of the speed of movement of the door shown in FIG. 3 when opened by a motor; 2 is a flowchart of the operation of the server shown in FIG. 1 when generating failure prediction information based on motor current value abnormality information; 2 is a diagram showing an example of a report transmitted from the server shown in FIG. 1 to a base terminal; FIG. 2 is a sequence diagram of the operation of the automatic door monitoring system shown in FIG. 1 when the server generates a report; FIG. FIG. 2 is a block diagram of an automatic door monitoring system in an example different from the example shown in FIG. 1;

An embodiment of the present invention will be described below with reference to the drawings.

First, the configuration of the automatic door monitoring system according to this embodiment will be described.

FIG. 1 is a block diagram of an automatic door monitoring system 10 according to this embodiment.

As shown in FIG. 1, the automatic door monitoring system 10 includes an automatic door side system 20 arranged at the installation location of the automatic door. The automatic door monitoring system 10 can include at least one automatic door-side system having the same configuration as the automatic door-side system 20 in addition to the automatic door-side system 20 .

The automatic door monitoring system 10 includes a base terminal 60 that is placed at a call center or a base for performing automatic door maintenance work, for example. The base terminal 60 stores setting information indicating various settings of the automatic door, various types of maintenance information as information relating to at least one of the state and operation of the automatic door, and failure prediction information indicating prediction of failure of the automatic door. A device for notifying a person belonging to a base of the transmitted information when at least one of failure information indicating a failure that has already occurred in an automatic door is transmitted, and constituting an information notification unit of the present invention. are doing. The automatic door failure prediction information and failure information are one type of abnormality information indicating an abnormality of the automatic door. Therefore, in accordance with the information notified by the base terminal 60, the service person at the base performs maintenance work on the automatic door, such as calling the owner of the automatic door subject to this information and performing on-site work on the automatic door. It can be carried out. The automatic door monitoring system 10 can include at least one base terminal having the same configuration as the base terminal 60 in addition to the base terminal 60 . One or more base terminals in the automatic door monitoring system 10 may be arranged at each base where automatic door maintenance work is performed. The base terminal is configured by a computer such as a PC (Personal Computer), for example.

The automatic door monitoring system 10 includes a server 70 that collects various information related to automatic doors, such as automatic door setting information, maintenance information, failure prediction information, and failure information, from the automatic door side system. The server 70 can generate failure prediction information and failure information based on the information collected from the automatic door side system, and constitutes an information generation unit and a failure prediction information generation device of the present invention. The server 70 can notify the base terminal of various information related to the automatic door, such as information collected from the automatic door side system and self-generated failure prediction information and failure information. The server 70 is configured by a computer such as a PC, for example.

The automatic door side system and the server 70 can be communicatively connected to each other via a network 11 such as the Internet. Similarly, the base terminal and the server 70 can be communicably connected to each other via the network 12 such as the Internet.

FIG. 2 is a block diagram of the automatic door-side system 20. As shown in FIG.

As shown in FIG. 2, the automatic door side system 20 includes an automatic door 30. As shown in FIG. The automatic door side system 20 can be provided with at least one automatic door having the same configuration as the automatic door 30 in addition to the automatic door 30 .

FIG. 3 is a front view of the automatic door 30 with the driving device 40 exposed. 4 is a side view of the automatic door 30. FIG.

As shown in FIGS. 3 and 4, the automatic door 30 includes a pair of left and right sliding doors 31, a pair of fixed fixtures 32 that do not open and close, and are attached to the bottom of the door 31. As shown in FIGS. A guide rail 33 on which the anti-vibration 31a is guided, a blind 34 provided on the upper part of the door 31 and the fix 32, and a blind 34 attached to the blind 34 on one side of the door 31 to prevent nearby pedestrians and the like. An activation sensor 35 for detecting an object, an activation sensor 36 attached to the blind 34 and for detecting an object such as a nearby passerby on the other side of the door 31, and an activation sensor 36 attached to the fix 32. An auxiliary photoelectric sensor 37 for detecting an object such as a passerby passing through the opening of the door 31 and a driving device 40 provided in the blind 34 are provided.

The driving device 40 includes a hanger rail 41 and door rollers 42a that run on the hanger rail 41. Four door hangers 42 for suspending one door 31 with two hangers 42 and one hanger for each of the two doors 31. A timing belt 43 to which a door hanger 42 is attached, a driving pulley 44 and a driven pulley 45 on which the timing belt 43 is applied, and a door stopper 46 for restricting the movement of the door 31 in the opening direction by contact between the door hanger 42 and the door hanger 42. - 特許庁, a motor 47 for driving the driving pulley 44 and a controller 48 for controlling the automatic door 30 .

The driving device 40 can be made by various manufacturers.

Controller 48 is a computer. Controller 48 can detect the current value of motor 47 .

Communication between the activation sensor 35, the activation sensor 36, the auxiliary photoelectric sensor 37, and the controller 48 is realized by specific communication such as CAN (Controller Area Network) communication.

As shown in FIG. 2, the automatic door side system 20 includes a data converter 21 that processes various information such as information output from the controller 48 into communication data of a specific communication method. Data converter 21 is a computer. Here, the information output from the controller 48 to the data converter 21 includes, for example, various setting information of the automatic door 30, the current value of the motor 47 in the opening operation of the automatic door 30, and the opening of the automatic door 30. Moving speed of the door 31 in the operation, moving speed of the door 31 in the closing operation of the automatic door 30, required time for the opening operation of the automatic door 30, number of rotations of the motor 47 in one opening operation of the automatic door 30 There are various kinds of maintenance information of the automatic door 30 such as , and abnormality information indicating an abnormality of the automatic door 30 . The output of information from controller 48 to data converter 21 may be performed immediately. The type and format of information output from the controller 48 varies depending on the manufacturer of the drive device 40 . Therefore, the manufacturer of the data converter 21 is preferably the same as the manufacturer of the driving device 40 . The data converter 21 can generate failure prediction information and failure information based on information output from the controller 48, and constitutes an information generation unit and a failure prediction information generation device of the present invention. The automatic door side system 20 has a data converter for each automatic door.

The automatic door-side system 20 includes a relay box 22 that relays information output from the data converter 21 , the activation sensor 35 , the activation sensor 36 and the auxiliary photoelectric sensor 37 . Here, the information output from the activation sensor 35, the activation sensor 36, and the auxiliary photoelectric sensor 37 to the relay box 22 includes, for example, various setting information of each sensor, the operating time of each sensor, the number of detections by each sensor, There are various kinds of maintenance information as information about at least one of the state and operation of each sensor, such as sensitivity of each sensor, and abnormality information indicating abnormality of each sensor. Information output from the data converter 21 to the relay box 22 includes failure prediction information and failure information generated by the data converter 21 in addition to the information output from the controller 48 to the data converter 21 .

Communication between the relay box 22, the activation sensor 35, the activation sensor 36 and the auxiliary photoelectric sensor 37 is realized by specific communication such as CAN communication.

The automatic door side system 20 has a relay box for each automatic door. As for the relay boxes included in the automatic door side system 20, the relay box 22 is the main unit and the others are slave units.

The automatic door side system 20 includes a gateway 23 as a wireless or wired communication device that transmits the information relayed by the relay box to the server 70 (see FIG. 1). The gateway 23 is connected only to the master relay box 22 among the relay boxes included in the automatic door side system 20 . Therefore, the automatic door-side system 20 only needs to have one gateway 23 for a plurality of automatic doors, and the gateway purchase cost and communication cost can be reduced.

The data converter, relay box and gateway can be retrofitted to the automatic door. Therefore, the owner of the automatic door installs the data converter, relay box and gateway to the automatic door only when he/she wishes to receive the service provided by using the data converter, relay box and gateway. If it is possible and you do not want to receive the service using the data converter, relay box and gateway, the introduction cost for installing the data converter, relay box and gateway to the automatic door can be suppressed.

The automatic door side system 20 may include an automatic door 50 shown in FIG. 5 instead of the automatic door 30 shown in FIG.

FIG. 5 is a block diagram of the automatic door side system 20 when the automatic door 50 is provided.

Of the configuration of the automatic door-side system 20 shown in FIG. 5, the same configurations as those of the automatic door-side system 20 shown in FIG.

As shown in FIG. 5, the driving device for the automatic door 50 includes a controller 51 that controls the automatic door 50. As shown in FIG. Various manufacturers' driving devices can be used for the automatic door 50 . Controller 51 is a computer. Controller 51 cannot detect the current value of motor 47 .

The automatic door 50 includes a clamp-type sensor 52 that detects the current value of the motor 47, and a start sensor 35, a start sensor 36, and an auxiliary photoelectric sensor 37 that are compatible with specific communication such as CAN communication. and a converter 53 for connecting to a corresponding controller 51 . The clamp-type sensor 52 clamps a wire that connects the motor 47 and the controller 51 to detect the current value in this wire, that is, the current value of the motor 47 .

The data converter 21 processes information output from the controller 51 and information such as current values output from the clamp type sensor 52 into communication data of a specific communication method. Here, the information output from the controller 51 to the data converter 21 includes, for example, various setting information of the automatic door 50, the current value of the motor 47 in the opening operation of the automatic door 30, and the opening of the automatic door 30. Moving speed of the door 31 in the operation, moving speed of the door 31 in the closing operation of the automatic door 30, required time for the opening operation of the automatic door 30, number of rotations of the motor 47 in one opening operation of the automatic door 30 There are various kinds of maintenance information of the automatic door 50 such as , and abnormality information indicating an abnormality of the automatic door 50 . The frequency of information output from the controller 51 to the data converter 21 is, for example, once every 30 minutes.

The manufacturer of the data converter 21 is preferably the same as the manufacturer of the driving device of the automatic door 50 . If the manufacturer of the data converter 21 is the same as the manufacturer of the driving device of the automatic door 50 , the manufacturer of the driving device of the automatic door 50 is the same as the manufacturer of the driving device 40 . That is, the data converter 21 can be used in common between the driving device 40 and the driving device of the automatic door 50 .

Next, operation of the automatic door monitoring system 10 will be described.

First, the operation of the automatic door monitoring system 10 when generating failure prediction information based on a change in the current value of the motor 47 from normal will be described.

FIG. 6 is a flow chart of the operation of the data converter 21 when generating abnormality information based on the change in the current value of the motor 47 from the normal state.

As shown in FIG. 6, the data converter 21 determines whether the automatic door 30 has opened based on the information output from the controller 48 (S101).

When the data converter 21 determines in S101 that the automatic door 30 has opened, it calculates the average current value of the motor 47 in the entire opening operation of the automatic door 30 (S102).

FIG. 7 is a diagram showing an example of the moving speed of the door 31 when opened by the motor 47. As shown in FIG.

As shown in FIG. 7, when the closed door 31 is opened by the motor 47, the controller 48 causes the motor 47 to accelerate the moving speed of the door 31 from zero to v1 from time zero to time t1, The moving speed of the door 31 is maintained at the speed v1 by the motor 47 from the time t1 to the time t2, and the moving speed of the door 31 is reduced from the speed v1 to the speed v2 from the time t2 to the time t3. , the moving speed of the door 31 is maintained at v2 by the motor 47 from time t3 to time t4, and the moving speed of the door 31 is reduced from v2 to zero by the motor 47 from time t4 to time t5. do.

The average current value of the motor 47 in the entire opening operation of the automatic door 30 is the average current value of the motor 47 from time zero to time t5.

As shown in FIG. 6, after the process of S102, the data converter 21 calculates the normal average value of the current value of the motor 47 in the entire opening operation of the automatic door 30 (hereinafter referred to as "normal motor current value value”), it is determined whether or not the average value calculated in S102 is greater than a specific value (S103). Here, the data converter 21 stores in advance the motor current value normal value. For example, when the data converter 21 is instructed to set the motor current value normal value, the data converter 21 performs the operation of opening and closing the automatic door 30 by the motor 47 a specific number of times, and based on the current value of the motor 47 in this operation Determine the normal motor current value. For example, when the automatic door 30 is installed can be considered as the timing at which the setting of the normal motor current value is instructed.

When the data converter 21 determines in S103 that the average value calculated in S102 is not larger than a specific value for the motor current value normal value, normal information indicating that the current value of the motor 47 is normal ( hereinafter referred to as "motor current value normal information") (S104), this motor current value normal information is output to the relay box 22 (S105), and the process of S101 is executed.

When the data converter 21 determines in S103 that the average value calculated in S102 is greater than a specific value for the motor current value normal value, the data converter 21 determines that the current value of the motor 47 is abnormal (hereinafter referred to as " (S106), outputs this motor current value abnormality information to the relay box 22 (S107), and executes the processing of S101.

The normal motor current value information and the abnormal motor current value information output from the data converter 21 to the relay box 22 are transmitted to the server 70 via the gateway 23 .

FIG. 8 is a flowchart of the operation of the server 70 when generating failure prediction information based on motor current value abnormality information.

As shown in FIG. 8, the server 70 determines whether the normal motor current value information or the abnormal motor current value information is received until it determines that the normal motor current value information or the abnormal motor current value information is received. (S121).

When the server 70 determines in S121 that the normal motor current value information or the abnormal motor current value information has been received, the server 70 has received the abnormal motor current value information three times consecutively regarding the normal motor current value information and the abnormal motor current value information. (S122).

When the server 70 determines in S122 that the motor current value abnormality information has not been received three times consecutively, it executes the processing of S121.

When the server 70 determines in S122 that the motor current value abnormality information has been received three times in succession, it generates failure prediction information regarding the current value of the motor 47 (S123). Here, the server 70 may include, in the failure prediction information, the degree of deterioration of parts related to changes in the current value of the motor 47, such as the door 31, the guide rail 33, the hanger rail 41, and the door hanger 42, for example. For example, the server 70 stores in advance the degree of change in the current value of the motor 47 from the normal state and the degree of deterioration of the parts related to the change in the current value of the motor 47 . It is possible to obtain the degree of deterioration of the parts related to the change in the current value of the motor 47 based on the degree of change in the current value of the motor 47 from the normal state.

After the processing of S123, the server 70 transmits the failure prediction information generated in S123 to the base terminal of the base managing the automatic door 30 (S124), and executes the processing of S121.

When receiving the failure prediction information transmitted in S124, the base terminal at the base that manages the automatic door 30 notifies the received failure prediction information by, for example, display. Therefore, the service person at the base who manages the automatic door 30 sends the owner of the automatic door 30, which is the target automatic door of the failure prediction information, to the owner of the automatic door 30 according to the failure prediction information notified by the base terminal of this base. maintenance work for the automatic door 30, such as phone calls and field work for the automatic door 30. An abnormality in the current value of the motor 47 during the opening operation of the automatic door 30 may be caused by, for example, dust adhering to at least one of the door 31 and the guide rail 33, or deformation of at least one of the door 31 and the guide rail 33. If abnormal friction occurs between the door 31 and the guide rail 33 due to wear, or if dust is attached to at least one of the hanger rail 41 and the door roller 42a of the door hanger 42. or when at least one of the hanger rail 41 and the door roller 42a is deformed or worn, causing abnormal friction between the hanger rail 41 and the door roller 42a. This is most likely occurring when there is abnormal resistance to movement of the door 31 at . If there is abnormal resistance to the movement of the door 31 during the opening operation of the automatic door 30, the automatic door 30 will eventually fail due to failure unless some action is taken to remove this resistance. Probability is high. Therefore, the automatic door monitoring system 10 can support the predictive maintenance of the automatic door 30 by the service person by displaying the failure prediction information on the base terminal.

In the above, the server 70 generates the failure prediction information when the motor current value abnormality information is received three times in succession. However, the server 70 may generate the failure prediction information when the motor current value abnormality information is continuously received a plurality of times other than three times. Further, the server 70 may generate the failure prediction information according to a condition other than the condition that the motor current value abnormality information is continuously received a plurality of times. For example, the server 70 may generate failure prediction information when it receives motor current value abnormality information a total of a specific number of times or more, or may receive motor current value abnormality information a specific number of times or more during a specific period. Failure prediction information may be generated when

In the automatic door monitoring system 10 described above, the server 70 cooperates with the data converter 21 to generate failure prediction information. However, the data converter 21 or the server 70 may independently generate the failure prediction information based on the change in the current value of the motor 47 from the normal state. For example, the data converter 21 detects the current value of the motor 47 when the average value of the current values of the motor 47 over the entire opening operation of the automatic door 30 is greater than a specific value with respect to the normal motor current value. may be generated, and the failure prediction information may be output to the relay box 22 . Then, the server 70 may transmit the failure prediction information transmitted from the data converter 21 via the relay box 22 and the gateway 23 to the base terminal of the base managing the automatic door 30 .

As described above, the data converter 21 and the server 70 generate failure prediction information based on the change from normal in the average value of the current value of the motor 47 during the entire operation of opening the automatic door 30 once. However, at least one of the data converter 21 and the server 70 detects the change in the current value of the motor 47 in the automatic door 30 from the normal time, the current value of the motor 47 in the entire opening operation of the automatic door 30 once. Failure prediction information may be generated based on a change from normal in values other than the average value. For example, at least one of the data converter 21 and the server 70 determines the current value of the motor 47 during a part of the operation of opening the automatic door 30 once, such as from time zero to time t1 in FIG. The failure prediction information may be generated based on the change from the normal time of the average value of . In addition, at least one of the data converter 21 and the server 70 generates failure prediction information based on the change from normal in the average current value of the motor 47 in one closing operation of the automatic door 30. Alternatively, the failure prediction information may be generated based on the change from normal in the average current value of the motor 47 in both the opening and closing operations of the automatic door 30 once. In addition, at least one of the data converter 21 and the server 70 performs failure prediction based on a change in the peak current value of the motor 47 from the normal state in at least one operation of opening and closing the automatic door 30 once. information may be generated. Note that the peak value usually occurs between time zero and time t1 in FIG.

The operation of the automatic door monitoring system 10 when generating failure prediction information based on the change in the current value of the motor 47 in the automatic door 30 from the normal state has been described above. However, the current value output from the clamp-type sensor 52 is also used for the operation of the automatic door monitoring system 10 when the failure prediction information is generated based on the change in the current value of the motor 47 in the automatic door 50 from the normal state. is similar except that

The above describes the operation of the automatic door monitoring system 10 when the failure prediction information is generated based on the change in the current value of the motor of the automatic door from the normal state. However, at least one of the data converter and the server 70 provides information on the operation of the motor in the automatic door as failure prediction information when there is abnormal resistance to movement of the door in at least one operation of opening and closing the automatic door. Failure prediction information other than failure prediction information based on changes in current value from normal can be generated by a method similar to failure prediction information based on changes in motor current value from normal in automatic doors. .

For example, at least one of the data converter and the server 70 provides failure prediction information based on a change from normal in the average door movement speed during at least one operation of opening and closing the automatic door. A door in at least one operation of opening and closing an automatic door, such as failure prediction information based on a change from normal in the maximum value of the door moving speed in at least one operation of opening and closing the automatic door The failure prediction information based on the change from the normal time of the moving speed of the automatic door can be generated by the same method as the failure prediction information based on the change from the normal time of the current value of the motor in the automatic door. At least one of the data converter and the server 70 performs at least one of automatic door opening and closing when the movement speed of the door in at least one operation of opening and closing the automatic door is lower than the normal speed by a specific speed or more. It can be determined that there is an abnormal resistance to movement of the door in one motion.

In addition, at least one of the data converter and the server 70 outputs the failure prediction information based on the change from normal in the time required for at least one operation of opening and closing the automatic door. It can be generated by the same method as the failure prediction information based on the change of the current value from the normal time. At least one of the data converter and the server 70 performs at least one operation of opening and closing the automatic door when the required time for at least one operation of opening and closing the automatic door is longer than the normal time by a specific time or more. It can be determined that there is an abnormal resistance to movement of the door in one motion.

In addition, at least one of the data converter and the server 70 is provided in at least one operation of opening and closing the automatic door when the automatic door is equipped with a vibration sensor that detects vibration generated in the automatic door. Failure prediction information based on changes in vibration detected by the vibration sensor from normal can be generated in the same manner as failure prediction information based on changes in motor current value from normal in automatic doors. . At least one of the data converter and the server 70 determines whether to open or close the automatic door when the vibration generated in the automatic door increases by a specific degree or more in at least one operation of opening and closing the automatic door. It may be determined that there is an abnormal resistance to movement of the door in at least one motion.

In the above, the failure prediction information when there is an abnormal resistance to the door movement in at least one of the opening and closing operations of the automatic door has been described. However, at least one of the data converter and the server 70 may also provide failure prediction information other than the failure prediction information when there is abnormal resistance to door movement in at least one operation of opening and closing the automatic door. , can be generated in a manner similar to failure prediction information when there is abnormal resistance to door movement in at least one of opening and closing an automatic door.

For example, at least one of the data converter and the server 70 may transmit the failure prediction information based on the change from normal in the number of rotations of the motor in at least one operation of opening and closing the automatic door. It can be generated by the same method as the failure prediction information based on the change from the normal state of the current value of the motor in . The movement of the door in the opening direction is stopped by the contact of the door hanger with the door stopper. Therefore, the number of rotations of the motor in one operation of opening the automatic door is always constant as long as the automatic door is in a normal state. However, if the timing belt of the drive device is stretched more than normal, even if the motor rotates the normal number of times, the door movement distance will be shorter than normal. The number of rotations is longer than normal. Also, if the screws of parts such as doors, guide rails, hanger rails, and door hangers are loosened, the door will not stop properly even if the door hanger comes in contact with the door stopper. The number of rotations is longer than normal. Although the opening operation of the automatic door has been described above, the same applies to the closing operation of the automatic door. Therefore, at least one of the data converter and the server 70 detects when the number of rotations of the motor in at least one operation of opening and closing the automatic door increases by a specific number or more compared to the normal operation. It can be determined that there is an elongation of , or looseness of screws of parts such as doors, guide rails, hanger rails, and door hangers. For automatic doors, if the timing belt is stretched or the screws of the door, guide rail, hanger rail, door hanger, etc. are loose, the timing belt stretches and the door, guide rail, hanger rail, door hanger, etc. Unless some action is taken to unscrew the part, it is likely that it will eventually fail and become inoperable.

At least one of the data converter and the server 70 outputs failure prediction information based on a change from normal in the sensitivity of each sensor such as an activation sensor and an auxiliary photoelectric sensor to an automatic door motor current value from normal. It can be generated by a method similar to the change-based failure prediction information. At least one of the data converter and the server 70 can determine that the sensitivity of the sensor is degraded when the sensitivity of the sensor is degraded by more than a certain degree from normal. In addition, at least one of the data converter and the server 70 can determine the degree of deterioration of the sensitivity of each sensor based on the number of times the automatic door is opened and closed, the operating time of each sensor, the number of detections by each sensor, etc. Failure prediction information can be generated based on the determined degree of deterioration. When the sensitivity of the sensor of the automatic door is degraded, there is a high possibility that the door will eventually stop working due to failure unless some measures are taken to eliminate the degradation of the sensor's sensitivity.

The failure prediction information has been described above. However, at least one of the data converter and the server 70 can also generate information other than the failure prediction information based on the information output from the automatic door.

For example, at least one of the data converter and the server 70 can generate automatic door failure information based on information output from the automatic door in the same manner as failure prediction information. That is, when at least one of the data converter and the server 70 determines that the automatic door cannot be opened or closed based on the information output from the automatic door, the failure information of the automatic door is transmitted. Generate. Also, at least one of the data converter and the server 70 may generate this automatic door failure information when the information that should be notified from the automatic door is not notified for a specific period of time. Then, the server 70 transmits the failure information of the automatic door to the base terminal of the base that manages this automatic door.

As described above, the server 70 transmits various kinds of information such as failure prediction information and failure information of the automatic door to the base terminal of the base managing the automatic door. The information transmitted from the server 70 to the base terminal may be summarized as a report as described below.

FIG. 9 is a diagram showing an example of the report 200 transmitted from the server 70 to the base terminal.

Report 200 shown in FIG. 9 includes title 201 of report 200 . The title 201 can be changed by an administrator of the automatic door monitoring system 10 at an automatic door maintenance company that maintains automatic doors. An automatic door maintenance company is a company that bundles all bases.

Report 200 includes page indications 202 that indicate the page number of each page in report 200 and the total number of pages in report 200 . The page display 202 is shown in the format of "(page number of each page in report 200)/(total number of pages in report 200)". For example, a page indication 202 of “1/1” indicates the first page in a full one-page report 200 . A page indication 202 of "1/2" indicates that this is the first page in a full two-page report 200. FIG. A page indication 202 of "2/2" indicates that this is the second page in a full two-page report 200 .

Report 200 includes delivery method indicator 203 that indicates how report 200 is to be delivered to the owner of the automatic door for which report 200 is intended. There are e-mail, FAX, mail, and hand delivery as delivery methods. The distribution method is predetermined between the automatic door maintenance company and the owner of the automatic door. For example, the delivery method display 203 is "E" if the delivery method is e-mail, "F" if the delivery method is FAX, and "M" if the delivery method is mail. ", and "H" when the delivery method is hand delivery.

Report 200 includes an owner indicator 204 that indicates the owner of the automatic door subject to report 200 . The server 70 is registered in advance as to which automatic door is owned by which owner.

The report 200 includes a report generation date display 205 that indicates the date the report 200 was generated.

The report 200 includes a maintenance company display 206 indicating the automatic door maintenance company, a base display 207 indicating the base managing the automatic door subject to the report 200, and a telephone number display 208 indicating the telephone number of the automatic door maintenance company. , and a person in charge display 209 indicating the person in charge of the automatic door subject to the report 200 at the automatic door maintenance company.

The report 200 includes a property name display 210 indicating the name of the property (hereinafter referred to as "installation destination") to which the automatic door targeted by the report 200 is attached, an address display 211 indicating the address of the installation destination, and A measurement date display 212 indicating the measurement date that is the last day of the last month of the measurement period for various values, a contracted number display 213 indicating the number of automatic doors subject to the report 200, and an installation destination indicating identification information of the installation destination. and a code display 214 . Five automatic doors are displayed on one page of the report 200 . Therefore, when the number of units indicated in the contract number display 213 is 6 or more, the total number of pages in the report 200 is plural.

The report 200 includes a code display 221 indicating a code for identifying the automatic door subject to the report 200 on the subject page of the report 200, and a breakdown number for identifying the automatic door subject to the report 200 at the installation destination. and an installation place name display 223 showing the installation place name of the automatic door subject to the report 200 at the installation destination. For example, in the example shown in FIG. 9, the automatic door with the code "A" has the breakdown number "11111" and is installed at the installation location indicated by the installation location name "outside the front entrance". there is

The report 200 includes a measurement result column 230 showing the measurement results of various values of the automatic door targeted by the report 200 . The measurement result column 230 includes a numerical value column 231 indicating current numerical values of various values of the automatic door targeted by the report 200 and a data transition column indicating current numerical values and transitions of various values of the automatic door targeted by the report 200. 232.

Numerical column 231 includes an open/close count column 231a indicating the number of times the automatic door has been opened and closed, which is maintenance information output by the current controller of the automatic door targeted in the report 200 and each sensor of this automatic door, and a measurement date display. It also includes a "number of times of opening and closing in the last month" column 231b showing the number of times the automatic door was opened and closed in the last month, from the first day to the last day of the month to which the measurement date shown in 212 belongs. The opening and closing times output by the controller are counted from zero if the controller is replaced. The number of times of opening and closing shown in the "number of times of opening and closing in the last month" column 231b is calculated from the number of times of opening and closing output by the controller. That is, since the server 70 receives daily the number of openings and closings output by the controller of the automatic door targeted for the report 200, the number of openings and closings for each day can be obtained by calculating the difference between two consecutive days. By totaling the number of times of opening and closing for each day in the most recent month, the number of times of opening and closing shown in the "number of times of opening and closing in the most recent month" column 231b can be calculated.

The numeric field 231 includes a "use time in the most recent month" field 231c that indicates the usage time of the automatic door in the most recent month, that is, the power-on time. The usage time shown in the "use time in the last month" column 231c is calculated from the energization time of the automatic door, which is the maintenance information output by the controller of the automatic door targeted in the report 200. FIG. That is, the server 70 receives daily power-on hours output by the controller of the automatic door that is the object of the report 200, so by totaling the daily power-on hours in the most recent month, The usage time shown in 231c can be calculated.

The numerical column 231 includes a "power consumption in the last month" column 231d that indicates the approximate power consumption of the automatic door in the last month. The estimated power consumption shown in the "power consumption in the last month" column 231d is calculated based on the number of times the automatic door has been opened and closed in the last month and the number of detections by each sensor of the automatic door in the last month. More specifically, the server 70 multiplies the number of times the automatic door has been opened and closed in the most recent month by the estimated power consumption for each opening/closing of the automatic door. It is possible to calculate the approximate power consumption of In addition, the server 70 multiplies the standby time of the automatic door in the most recent month by the estimated power consumption per unit time when the automatic door is in standby, and obtains the standby power consumption of the automatic door in the most recent month. can be calculated. In addition, the server 70 multiplies the number of sensor detections in the most recent month by the estimated power consumption for one sensor detection, thereby calculating the estimated power consumption for each sensor detection in the most recent month. can do. In addition, the server 70 multiplies the standby time of the sensor in the most recent month by the estimated power consumption per unit time of the sensor in standby mode, thereby obtaining a standard standby power consumption of the sensor in the most recent month. can be calculated. Then, the server 70 stores the estimated power consumption during the opening and closing of the automatic door in the most recent month, the estimated power consumption during standby of the automatic door in the most recent month, and the power consumption during detection by each sensor in the most recent month. and the approximate standby power consumption of each sensor for the most recent month, it is possible to calculate the approximate power consumption of the automatic door for the most recent month. Here, the number of detections by the sensor of the automatic door in the most recent month is calculated from the number of detections of the sensor, which is the maintenance information output by the sensor of the automatic door. That is, since the server 70 receives daily the number of detections output by the sensor of the automatic door targeted for the report 200, the number of detections for each day can be obtained by calculating the difference between two consecutive days. By totaling the number of detections for each day in the most recent month, the number of times the automatic door sensor has detected in the most recent month can be calculated.

The numeric column 231 includes a sensor detection count (internal) column 231e that indicates the number of detections of the activation sensor on the interior side of the automatic door. The number of detections shown in the number of sensor detections (internal) column 231e is maintenance information output by the activation sensor on the indoor side of the automatic door. An automatic door may have a plurality of activation sensors arranged on the interior side, for example, because the width of the door is wide. The number of times of detection shown in the number of sensor detections (internal) column 231e is the average of the number of times of detection of the multiple activation sensors on the interior side of the automatic door when multiple activation sensors are arranged on the interior side of the automatic door. .

The numerical value column 231 includes a sensor detection count (external) column 231f that indicates the number of detections of the activation sensor on the outdoor side of the automatic door. The detection count shown in the sensor detection count (external) column 231f is maintenance information output by the activation sensor on the outdoor side of the automatic door. An automatic door may have a plurality of activation sensors arranged on the outdoor side, for example, because the width of the door is wide. The detection count shown in the sensor detection count (external) column 231f is the average of the detection counts of the multiple activation sensors on the outdoor side of the automatic door when multiple activation sensors are arranged on the outdoor side of the automatic door. .

The numeric column 231 includes a sensor operating time (internal) column 231g that indicates the operating time of the activation sensor on the interior side of the automatic door. The operating time indicated in the sensor operating time (internal) column 231g is maintenance information output by the indoor-side activation sensor of the automatic door. The operating time shown in the sensor operating time (internal) column 231g is the average operating time of the multiple indoor-side activation sensors of the automatic door when multiple activation sensors are arranged on the indoor side of the automatic door. .

The numeric column 231 includes a sensor operating time (external) column 231h that indicates the operating time of the activation sensor on the outdoor side of the automatic door. The operating time indicated in the sensor operating time (external) column 231h is maintenance information output by the outdoor-side activation sensor of the automatic door. The operating time shown in the sensor operating time (external) column 231h is the average operating time of the multiple outdoor-side activation sensors of the automatic door when multiple activation sensors are arranged on the outdoor side of the automatic door. .

The numeric column 231 includes an auxiliary photoelectric sensor detection count column 231i that indicates the number of detections of the auxiliary photoelectric sensor in the automatic door. The number of detections shown in the auxiliary photoelectric sensor detection number column 231i is maintenance information output by the auxiliary photoelectric sensor in the automatic door. An automatic door may have a plurality of auxiliary photoelectric sensors arranged in the vertical direction. The detection count shown in the auxiliary photoelectric sensor detection count column 231i is the average of the detection counts of the plurality of auxiliary photoelectric sensors in the automatic door when a plurality of auxiliary photoelectric sensors are arranged in the automatic door.

The numeric column 231 includes an auxiliary photoelectric sensor operating time column 231j that indicates the operating time of the auxiliary photoelectric sensor in the automatic door. The operating time indicated in the auxiliary photoelectric sensor operating time column 231j is maintenance information output by the auxiliary photoelectric sensor in the automatic door. The operating time shown in the auxiliary photoelectric sensor operating time column 231j is the average operating time of the plurality of auxiliary photoelectric sensors in the automatic door when a plurality of auxiliary photoelectric sensors are arranged in the automatic door.

The data transition column 232 shows the motor average current value as the average value in the measurement period of the average value of the motor current value in the entire operation of opening the automatic door once, and the motor average value showing the transition of the motor average current value. It includes a current value column 232a. The average value of the current value of the motor over one operation of opening the automatic door is the maintenance information output by the controller. The transition of the average motor current value is indicated by an arrow corresponding to the magnitude of the difference between the average motor current value in the current measurement period and the average motor current value in the first measurement period. In other words, the transition of the motor average current value is as follows. It is indicated by a horizontal right-pointing arrow if it is equal to or greater than the motor average current value for the period reduced by a certain percentage. In addition, when the motor average current value in the current measurement period exceeds the motor average current value in the first measurement period by a specific percentage, the transition of the motor average current value is upward and to the right. indicated by arrows. In addition, when the motor average current value in the current measurement period is less than the motor average current value in the first measurement period that is reduced by a specific percentage, the transition of the motor average current value is downward to the right. indicated by arrows. Note that the value obtained by increasing the motor average current value in the first measurement period by a specific percentage corresponds to the "specific value" in the process of S103.

The data transition column 232 shows the motor peak current value as the average value during the measurement period of the peak value of the motor current value in one operation of opening the automatic door, and the motor peak current value indicating the transition of the motor peak current value. It includes a value column 232b. The peak value of the current value of the motor in one operation of opening the automatic door is the maintenance information output by the controller. The transition of the motor peak current value is indicated by an arrow corresponding to the magnitude of the difference between the motor peak current value in the current measurement period and the motor peak current value in the first measurement period. In other words, the transition of the motor peak current value is the value obtained by increasing the motor peak current value in the current measurement period by a specific percentage to the motor peak current value in the first measurement period. indicated by a horizontal right-pointing arrow if it is greater than or equal to the motor peak current value for the period reduced by a certain percentage. Also, if the motor peak current value in the current measurement period is greater than the motor peak current value in the first measurement period by a specific percentage, the transition of the motor peak current value is shown in the upper right direction. indicated by arrows. Also, if the motor peak current value in the current measurement period is less than the motor peak current value in the first measurement period, the transition of the motor peak current value is downward to the right. indicated by arrows.

The report 200 includes a reference value column 233 that indicates reference values for various values shown in the measurement result column 230 . In the example shown in FIG. 9, the reference value column 233 includes the reference value for the number of times of opening and closing indicated in the number of opening and closing column 231a, the reference value for the operating time indicated in the sensor operating time (internal) column 231g, and the sensor operating time (external). ) column 231h and a reference value for the operating time indicated in the auxiliary photoelectric sensor operating time column 231j.

The report 200 includes an alarm occurrence count column 240 that indicates the number of times an alarm has occurred at the automatic door targeted by the report 200 . The number of alarm occurrences column 240 includes a period column 241 indicating the target period of the number of alarm occurrences, a control unit column 242 indicating the number of alarm occurrences relating to the controller of the automatic door subject to the report 200, and an automatic door controller column 242 indicating the number of times the alarm occurred. and a detector column 243 that indicates the number of times an alarm has occurred for the door sensor.

The period column 241 shows the latest three periods. In the example shown in FIG. 9, each period is four months, and the current period is from September 1, 2018 to December 31, 2018. Note that the period shown in the period column 241 can be changed.

The control section column 242 includes a current alarm column 242 a that indicates the number of times an alarm regarding the current value of the motor of the automatic door is generated during the period indicated in the period column 241 . The number of occurrences shown in the current alarm column 242a indicates that the server 70 has generated abnormality information indicating that the current value of the motor is abnormal with respect to the average value of the current value of the motor in the entire opening operation of the automatic door. The server 70 receives abnormality information from the automatic door indicating that the current value of the motor is abnormal with respect to the number of times it has received three consecutive times from the automatic door and the peak value of the current value of the motor in one operation of opening the automatic door. It is the sum of the number of times of receiving three consecutive times. For example, the number of occurrences shown in the current alarm column 242a indicates that the server 70 provides abnormality information indicating that the current value of the motor is abnormal with respect to the average value of the current value of the motor in the entire opening operation of the automatic door. Abnormality that increases by 1 when received from the automatic door three times in succession, and indicates that the current value of the motor is abnormal with respect to the average value of the current value of the motor over the entire opening operation of the automatic door. The information is incremented by 1 when the server 70 receives new information from the automatic door three times consecutively. Similarly, the number of occurrences shown in the current alarm column 242a indicates that the current value of the motor is abnormal with respect to the peak value of the current value of the motor in the entire opening operation of the automatic door. increases by 1 when is received from the automatic door three times consecutively, and then indicates that the current value of the motor is abnormal with respect to the peak value of the motor current value in the entire opening operation of the automatic door. It is incremented by 1 when the server 70 newly receives three consecutive times of abnormality information from the automatic door. Here, the controller of the automatic door determines that the average value of the motor current value for the entire opening operation of the automatic door is a value that is increased by a specific percentage of the motor average current value during the first measurement period. The average motor current value for the entire opening operation of the automatic door if it is greater than or less than the motor average current value for the first measurement period reduced by a specified percentage With respect to the value, it sends abnormality information to the server 70 indicating that the current value of the motor is abnormal. Similarly, the automatic door controller detects that the peak value of the motor current value in one operation of opening the automatic door exceeds the motor peak current value in the first measurement period by a specific percentage. or if it is less than the motor peak current value in the first measurement period that is reduced by a specific percentage, regarding the peak value of the motor current value in one operation of opening the automatic door , sends to the server 70 abnormality information indicating that the current value of the motor is abnormal. Regarding the average value of the current value of the motor in the entire opening operation of the automatic door, when the server 70 continuously receives the abnormality information indicating that the current value of the motor is abnormal from the automatic door. In addition, the number of occurrences shown in the current alarm column 242a is incremented by 1, or an abnormality indicating that the current value of the motor is abnormal with respect to the peak value of the current value of the motor in the entire operation of opening one time of the automatic door. It is possible to change how many times the server 70 receives information from the automatic door in succession to increase the number of occurrences shown in the current alarm column 242a by one.

The control section column 242 includes an overload detection alarm column 242b that indicates the number of times an overload-related alarm is generated in the opening or closing operation of the automatic door during the period shown in the period column 241 . Here, when the controller of the automatic door detects an overload in the opening operation of the automatic door (hereinafter referred to as "opening overload"), it sends abnormality information indicating that an opening overload abnormality has occurred to the server 70. Send to Similarly, when the controller of the automatic door detects an overload in the closing operation of the automatic door (hereinafter referred to as "closed overload"), it sends abnormality information indicating that a closing overload abnormality has occurred to the server 70. Send to The number of occurrences shown in the overload detection alarm column 242b is the number of times the server 70 has received three consecutive times of abnormality information indicating that an overload abnormality has occurred from the automatic door, and the number of times an overload abnormality has occurred. This is the sum of the number of times the server 70 has received the abnormality information from the automatic door three times in succession. For example, the number of occurrences indicated in the overload detection alarm column 242b is incremented by 1 when the server 70 receives abnormality information indicating that an overload abnormality has occurred from the automatic door three times in succession. The value is incremented by 1 when the server 70 newly receives abnormality information indicating that an overload abnormality has occurred from the automatic door three times in succession. Similarly, the number of occurrences indicated in the overload detection alarm column 242b is incremented by 1 when the server 70 receives abnormality information indicating that an overload abnormality has occurred from the automatic door three times in succession. , is incremented by 1 when the server 70 newly receives abnormality information indicating that an overload abnormality has occurred from the automatic door three times in succession. The server 70 receives the information that the server 70 has received the abnormal information indicating that the abnormal opening overload has occurred from the automatic door three times in succession, and the server 70 has received the abnormal information indicating that the abnormal closing overload has occurred. Each piece of information received three times consecutively from is failure information generated by the server 70 . In addition, how many times the server 70 continuously receives abnormality information indicating the occurrence of an open overload abnormality from the automatic door causes the number of occurrences indicated in the overload detection alarm column 242b to be incremented by 1, The number of occurrences indicated in the overload detection alarm field 242b to be incremented by 1 when the server 70 receives, from the automatic door, consecutively the abnormality information indicating that the closed overload abnormality has occurred can be changed. It is possible to

The control unit column 242 includes a door opening speed alarm column 242c that indicates the number of times an alarm related to the door moving speed during the operation of opening the automatic door during the period shown in the period column 241 is generated. The number of occurrences shown in the door opening speed alarm column 242c indicates that the server 70 has generated abnormality information indicating that the door movement speed is abnormal with respect to the average value of the door movement speeds in the entire opening operation of the automatic door. The server 70 automatically generates abnormality information indicating that the door movement speed is abnormal with respect to the number of times the automatic door has received three consecutive receptions and the peak value of the door movement speed in one operation of opening the automatic door. This is the sum of the number of times of three consecutive receptions from the door. For example, the number of occurrences shown in the door opening speed alarm column 242c indicates that the door movement speed is abnormal with respect to the average value of the door movement speed in the entire opening operation of the automatic door. 70 is incremented by 1 when 70 receives three consecutive receptions from the automatic door, and then indicates that the door movement speed is abnormal with respect to the average value of the door movement speed over the entire single opening operation of the automatic door. It is incremented by 1 when the server 70 newly receives the indicated abnormality information from the automatic door three times consecutively. Similarly, the number of occurrences shown in the door opening speed alarm column 242c is abnormal information indicating that the door movement speed is abnormal with respect to the peak value of the door movement speed in the entire opening operation of the automatic door. Increased by 1 when the server 70 receives three consecutive receptions from the automatic door, and thereafter the door movement speed is abnormal with respect to the peak value of the door movement speed in the entire operation of opening one time of the automatic door. is incremented by 1 when the server 70 newly receives the abnormality information indicating from the automatic door three consecutive times. Here, the controller of the automatic door increases the average value of the door movement speed in the entire opening operation of the automatic door once by a specific percentage with respect to the average value of the door movement speed in the first measurement period. or less than the value obtained by reducing the average door movement speed during the first measurement period by a specified percentage, the total opening operation of the automatic door Abnormality information indicating that the door moving speed is abnormal is transmitted to the server 70 with respect to the average value of the door moving speed. Similarly, the automatic door controller determines that the peak value of the door moving speed in one operation of opening the automatic door is a specific percentage of the average value of the peak values of the door moving speed in the first measurement period. or if it is less than the value obtained by decreasing a specific percentage of the average value of the peak door movement speed during the first measurement period, Abnormality information indicating that the door moving speed is abnormal is transmitted to the server 70 with respect to the peak value of the door moving speed in the opening operation. Regarding the average value of the door moving speed in the entire operation of opening one time of the automatic door, when the server 70 receives abnormal information indicating that the door moving speed is abnormal from the automatic door how many times in a row Then, the number of occurrences indicated in the door opening speed alarm column 242c is incremented by 1, or the peak value of the door movement speed in the entire operation of opening one time of the automatic door indicates that the door movement speed is abnormal. It is possible to change how many times the server 70 continuously receives the indicated abnormality information from the automatic door to increase the number of occurrences indicated in the door opening speed alarm column 242c by one.

The control section column 242 includes a door closing speed alarm column 242 d that indicates the number of times an alarm related to the door moving speed in the automatic door closing operation is generated during the period shown in the period column 241 . The number of occurrences shown in the door closing speed alarm column 242d indicates that the server 70 has generated abnormality information indicating that the door movement speed is abnormal with respect to the average value of the door movement speeds in the entire automatic door closing operation. The server 70 automatically generates abnormality information indicating that the door movement speed is abnormal with respect to the number of times the automatic door has received three consecutive receptions and the peak value of the door movement speed in one closing operation of the automatic door. This is the sum of the number of times of three consecutive receptions from the door. For example, the number of occurrences shown in the door closing speed alarm column 242d indicates that the door movement speed is abnormal with respect to the average value of the door movement speed in the entire automatic door closing operation. 70 increases by 1 when 70 receives three consecutive receptions from the automatic door, and then indicates that the door movement speed is abnormal with respect to the average value of the door movement speed over the entire single closing operation of the automatic door. It is incremented by 1 when the server 70 newly receives the indicated abnormality information from the automatic door three times consecutively. Similarly, the number of occurrences shown in the door closing speed alarm column 242d is abnormal information indicating that the door movement speed is abnormal with respect to the peak value of the door movement speed in the entire closing operation of the automatic door. Increased by 1 when the server 70 receives from the automatic door three times in succession, and thereafter the door movement speed is abnormal with respect to the peak value of the door movement speed in the entire closing operation of the automatic door once is incremented by 1 when the server 70 newly receives the abnormality information indicating from the automatic door three consecutive times. Here, the controller of the automatic door increases the average value of the door movement speed in the entire closing operation of the automatic door by a specific percentage with respect to the average value of the door movement speed in the first measurement period. in the entire closing operation of the automatic door if it is greater than the value that is equal to or less than the value obtained by decreasing the average value of the moving speed of the door during the first measurement period by a specific percentage Abnormality information indicating that the door moving speed is abnormal is transmitted to the server 70 with respect to the average value of the door moving speed. Similarly, the automatic door controller determines that the peak value of the door moving speed in one closing operation of the automatic door is a specific percentage of the average value of the peak values of the door moving speed in the first measurement period. or if it is less than the value obtained by decreasing a specific percentage of the average value of the peak door movement speed during the first measurement period, Abnormality information indicating that the door movement speed is abnormal is transmitted to the server 70 with respect to the peak value of the door movement speed in the closing operation. Regarding the average value of the door movement speed in the entire closing operation of the automatic door, when the server 70 receives abnormal information indicating that the door movement speed is abnormal from the automatic door how many times in a row Then, the number of occurrences indicated in the door closing speed alarm column 242d is incremented by 1, or the peak value of the door movement speed in the entire operation of closing one time of the automatic door indicates that the door movement speed is abnormal. It is possible to change how many times the server 70 continuously receives the indicated abnormality information from the automatic door to increase the number of occurrences indicated in the door closing speed alarm column 242d by one.

The control section column 242 includes an opening time alarm column 242e that indicates the number of times an alarm relating to the door opening time of the automatic door is generated during the period shown in the period column 241. FIG. Here, when the controller of the automatic door detects that the opening time of the automatic door is longer than a specific time, it transmits to the server 70 abnormality information indicating that an opening time abnormality has occurred. The number of occurrences shown in the opening time alarm column 242e is the number of times the server 70 has received three consecutive times of abnormality information indicating that an opening time abnormality has occurred from the automatic door. For example, the number of occurrences indicated in the opening time alarm column 242e is incremented by 1 when the server 70 receives abnormality information indicating that an opening time abnormality has occurred from the automatic door three times in succession. is incremented by 1 when the server 70 newly receives abnormality information indicating that an abnormality has occurred from the automatic door three times consecutively. Anomaly information indicating that an opening time anomaly has occurred is maintenance information output by the controller. It should be noted that the number of times the server 70 receives, from the automatic door, the abnormality information indicating that an opening time abnormality has occurred in succession, and whether the number of occurrences indicated in the opening time alarm column 242e is increased by 1 can be changed. It is possible to

The control section column 242 includes a stroke abnormality column 242f that indicates the number of occurrences of abnormalities in the stroke of the automatic door during the period shown in the period column 241 . Here, the controller of the automatic door determines that the number of rotations of the motor is abnormal when the number of rotations of the motor in one operation of opening the automatic door increases by a specific number or more compared to normal operation. Abnormality information indicating this is sent to the server 70 as maintenance information. The number of occurrences shown in the stroke error column 242f is the number of times the server 70 has received error information from the automatic door three times in succession, indicating that the number of rotations of the motor is abnormal. For example, the number of occurrences shown in the stroke error column 242f is incremented by 1 when the server 70 receives error information indicating that the number of rotations of the motor is abnormal three times in a row from the automatic door. is increased by 1 when the server 70 newly receives three consecutive times of abnormality information indicating that the number of rotations of the door is abnormal. It should be noted that the number of times the server 70 continuously receives abnormality information indicating that the number of rotations of the motor is abnormal from the automatic door may be changed to increase the number of occurrences indicated in the stroke abnormality column 242f by 1. It is possible to be

The detection unit column 243 includes a saturation anomaly (internal) column 243a that indicates the number of occurrences of saturation anomaly of the activation sensor on the interior side of the automatic door. The activation sensor saturation abnormality is an abnormality notified to the server 70 in real time by the automatic door. Here, the saturation anomaly of the activation sensor is an abnormality in which light stronger than the light emitted by the light-emitting portion of the activation sensor is detected by the light-receiving portion of the activation sensor. The saturation anomaly of the activation sensor occurs, for example, when sunlight is reflected on the floor or the like and detected by the light-receiving part of the activation sensor. For example, if a saturation abnormality occurs in the activation sensor, the activation sensor will be in the same state as always detecting a person, so the automatic door will not operate normally. When multiple activation sensors are arranged on the interior side of an automatic door, and when saturation abnormalities of multiple activation sensors occur within a specific period of time such as 10 minutes, these saturation anomalies are caused by the same cause. Probability is high. Therefore, in the case where a plurality of activation sensors are arranged on the indoor side of the automatic door, the server 70, when saturation abnormalities of the activation sensors occur within a specific period of time such as 10 minutes, Treat as one saturation anomaly instead of multiple saturation anomalies. This specific time can be changed. In addition, when one saturation abnormality continues for a specific time such as 10 minutes, the server 70 uses this saturation abnormality as failure information to identify the service person at the base in charge of the automatic door where this saturation abnormality has occurred. Notify by e-mail to a specific e-mail address, such as e-mail. This specific time can also be changed.

The detection unit column 243 includes a saturation anomaly (external) column 243b that indicates the number of occurrences of saturation anomaly of the activation sensor on the outdoor side of the automatic door. When a plurality of activation sensors are arranged on the outdoor side of the automatic door, the server 70 detects the saturation anomalies multiple times when the saturation anomalies of the activation sensors occur within a specific period of time such as 10 minutes. It is treated as a single saturation anomaly, not as a saturation anomaly of This specific time can be changed. In addition, when one saturation abnormality continues for a specific time such as 10 minutes, the server 70 uses this saturation abnormality as failure information to identify the service person at the base in charge of the automatic door where this saturation abnormality has occurred. Notify by e-mail to a specific e-mail address, such as e-mail. This specific time can also be changed.

The detection section column 243 includes an auxiliary photoelectric sensor sensitivity deficiency column 243c that indicates the number of occurrences of insufficient sensitivity of the auxiliary photoelectric sensor in the automatic door. Insufficient sensitivity of the auxiliary photoelectric sensor is an abnormality notified to the server 70 in real time from the automatic door. Insufficient sensitivity of the auxiliary photoelectric sensor is caused by a decrease in the intensity of light emitted by the light-emitting portion of the auxiliary photoelectric sensor, a decrease in sensitivity of light detection by the light-receiving portion of the auxiliary photoelectric sensor, or the like. For example, if the sensitivity of the auxiliary photoelectric sensor is insufficient, the automatic door will not operate normally because the auxiliary photoelectric sensor will always detect a person.

The report 200 includes a notice column 250 showing notices relating to the automatic door that is the object of the report 200 . The notice column 250 includes a content column 251 indicating the content of the notice, and a total number of opening/closing times column 252 indicating the total number of times the automatic door has been opened and closed, which has been output by all successive controllers of the automatic door subject to the report 200. contains.

When the number of times of opening/closing indicated in the number of times of opening/closing column 231a is 90% or more and not more than 100% of the reference value indicated in the reference value column 233, the server 70 determines that "the number of times of opening/closing is preventive maintenance." The line is approaching." is included in the content column 251, and a code such as "*1" associated with this message is included in the opening/closing count column 231a. Here, the lower limit of 90% can be changed. Similarly, with respect to the automatic door targeted by the report 200, if the number of times of opening/closing indicated in the number of times of opening/closing column 231a exceeds the reference value indicated in the reference value column 233 by 100%, the server 70 determines that the number of times of opening/closing is preventive maintenance. The line is crossed." is included in the content column 251, and the code associated with this message is included in the opening/closing count column 231a.

With respect to the automatic door targeted in the report 200, if the operating time indicated in the sensor operating time (internal) column 231g is 90% or more and 100% or less of the reference value indicated in the reference value column 233, the server 70 The operation time of the inner activation sensor is approaching the preventive maintenance line." include in Here, the lower limit of 90% can be changed. Similarly, the server 70, regarding the target automatic door of the report 200, if the operating time indicated in the sensor operating time (internal) column 231g exceeds the reference value indicated in the reference value column 233 by 100%, the server 70 The operating time of the inner activation sensor exceeds the preventive maintenance line." is included in the content column 251, and the code associated with this message is included in the sensor operating time (internal) column 231g.

With respect to the automatic door targeted in the report 200, if the operating time indicated in the sensor operating time (external) column 231h is 90% or more and 100% or less of the reference value indicated in the reference value column 233, the server 70 The operating time of the outer activation sensor is approaching the preventive maintenance line." include in Here, the lower limit of 90% can be changed. Similarly, with respect to the automatic door targeted in the report 200, if the operating time indicated in the sensor operating time (external) column 231h exceeds the reference value indicated in the reference value column 233 by 100%, the server 70 The operating time of the outer activation sensor exceeds the preventive maintenance line." is included in the content column 251, and the code associated with this message is included in the sensor operating time (external) column 231h.

When the operation time indicated in the auxiliary photoelectric sensor operating time 231j is 90% or more and 100% or less of the reference value indicated in the reference value column 233, the server 70 determines that the "auxiliary photoelectric sensor is approaching the preventive maintenance line." is included in the content column 251, and a code such as "*4" associated with this message is included in the auxiliary photoelectric sensor operating time 231j. Here, the lower limit of 90% can be changed. Similarly, with respect to the automatic door targeted in the report 200, if the operation time indicated in the auxiliary photoelectric sensor operating time 231j exceeds the reference value indicated in the reference value column 233 by 100%, the server 70 determines that the "auxiliary photoelectric sensor has exceeded the preventive maintenance line." is included in the content column 251, and the code associated with this message is included in the auxiliary photoelectric sensor operating time 231j.

An example in which preventive maintenance information for preventive maintenance of an automatic door is included in the content column 251 has been described above. However, the server 70 may include preventive maintenance information other than the preventive maintenance information described above in the content column 251 , or may include information other than preventive maintenance information, such as failure prediction information, in the content column 251 .

10 is a sequence diagram of the operation of automatic door monitoring system 10 when server 70 generates report 200. FIG.

As shown in FIG. 10, the server 70 automatically generates the report 200 (S141), and then transmits the report 200 generated in S141 to the base terminal of the base shown in the base display 207 of the report 200 (S142). .

Upon receiving the report 200 transmitted in S142, the base terminal determines the distribution method of the report 200 based on the distribution method display 203 of the report 200 (S143).

When the base terminal determines in S143 that the delivery method of the report 200 is e-mail, it sends the report 200 to the e-mail address registered in advance as the e-mail address of the owner indicated in the owner display 204 of the report 200. is automatically delivered by e-mail (S144). Note that the e-mail address of the holder may be managed by the base terminal, or may be managed by the server 70 .

After the process of S144, the base terminal notifies, for example, by displaying that the report 200 has been automatically distributed by e-mail (S145). Therefore, the service person at the site where this site terminal is located can recognize that the report 200 has been automatically delivered by e-mail. For example, the service person can check the report 200 via the site terminal when an owner indicated in the owner indication 204 of the report 200 inquires about the report 200 .

When the base terminal determines in S143 that the delivery method of the report 200 is FAX, it sends the report 200 by FAX to the FAX number registered in advance as the FAX number of the owner indicated in the owner display 204 of the report 200. It is automatically distributed (S146). The owner's FAX number may be managed by the base terminal, or may be managed by the server 70 .

After the process of S146, the base terminal notifies, for example, by displaying that the report 200 has been automatically distributed by FAX (S147). Therefore, the service person at the site where this site terminal is located can recognize that the report 200 has been automatically distributed by FAX. For example, the service person can check the report 200 via the site terminal when an owner indicated in the owner indication 204 of the report 200 inquires about the report 200 .

When the base terminal determines in S143 that the report 200 is delivered by mail or by hand, the base terminal prints the report 200 using a printer (not shown) (S148). The report 200 printed at S148 is mailed by the operator to the owner's address indicated in the owner indication 204 of the report 200 if the delivery method is mail. The report 200 printed at S148 is handed to the holder by a service person who visited the holder indicated in the holder display 204 of the report 200, if the delivery method is hand-delivered. The owner's address may be managed by the base terminal, or may be managed by the server 70 .

After the processing of S148, the base terminal notifies, for example, by displaying that it has received the report 200 whose distribution method is mail or hand delivery (S149). Therefore, the service person at the site where this site terminal is located can recognize that the report 200 whose delivery method is mail or hand delivery has been received by the site terminal. For example, the service person can check the report 200 via the site terminal when an owner indicated in the owner indication 204 of the report 200 inquires about the report 200 .

In the above description, an example is described in which the site terminal that receives the report 200 sent from the server 70 in S142 automatically distributes the report 200 by e-mail or FAX in S144 or S146. However, the server 70 automatically sends the report 200 by e-mail to the e-mail address registered in advance as the e-mail address of the owner shown in the owner display 204 of the report 200 without going through the base terminal. Alternatively, the report 200 may be automatically distributed by FAX to the FAX number registered in advance as the FAX number of the owner shown in the owner display 204 of the report 200 .

If there is failure information to be sent to the server 70, the relay box immediately sends the failure information to the server 70 via the gateway, and at least one of the setting information and maintenance information to be sent to the server 70 is If present, the configuration information and security information to be sent to the server 70 are sent to the server 70 via the gateway periodically, such as once a day. If there is failure prediction information to be sent to the server 70, the relay box may immediately send the failure prediction information to the server 70 via the gateway, or periodically send the failure prediction information to the server via the gateway. 70 may be sent. By not transmitting part of the information to the server 70 immediately via the gateway, the relay box can reduce the communication cost required for transmitting the information by the gateway.

As described above, the automatic door monitoring system 10 generates automatic door failure prediction information based on changes in the information output from the automatic door from normal, and notifies the generated failure prediction information. It can support predictive maintenance of automatic doors.

Since the automatic door monitoring system 10 generates failure prediction information based on changes in the current value of the motor that drives the automatic door from normal, it is possible to detect when there is abnormal resistance to movement of the automatic door. It can support predictive maintenance of automatic doors.

When the automatic door monitoring system 10 generates failure prediction information based on a change from normal in the movement speed of the automatic door in at least one operation of opening and closing the automatic door, the movement of the automatic door It can assist in predictive maintenance of automatic doors when there is abnormal resistance to

When the automatic door monitoring system 10 generates failure prediction information based on a change from normal in the time required for at least one operation of opening and closing the automatic door, abnormal resistance to door movement of the automatic door can assist in predictive maintenance of automatic doors in the presence of

When the automatic door monitoring system 10 generates failure prediction information based on a change from a normal state in vibration generated in the automatic door during at least one operation of opening and closing the automatic door, when the automatic door moves can assist in predictive maintenance of automatic doors when abnormal resistance is present.

When the automatic door monitoring system 10 generates failure prediction information based on a change from normal in the number of rotations of the motor that drives the automatic door in at least one operation of opening and closing the automatic door, the timing belt It can assist predictive maintenance of automatic doors in the presence of elongation and loosening of screws in parts such as doors, guide rails, clothes rails, door hangers.

When the automatic door monitoring system 10 generates failure prediction information based on a change in the sensitivity of the sensor of the automatic door from normal, it is possible to support predictive maintenance of the automatic door when there is deterioration in the sensitivity of the sensor. can.

The automatic door monitoring system 10 can support predictive maintenance of automatic doors with respect to replacement of parts when the failure prediction information includes the degree of deterioration of parts related to changes in the information output from the automatic door from normal. can.

Since the automatic door monitoring system 10 automatically generates a report including failure prediction information (S141), there is no need for a worker to generate a report by looking at the state of the automatic door at the site, which improves convenience. can.

The automatic door monitoring system 10 automatically transmits a report including failure prediction information to the owner of the automatic door (S144 or S146), thereby improving convenience.

Note that the automatic door monitoring system 10 may be arranged for each installation location of the automatic door, as shown in FIG. In the automatic door monitoring system 10 shown in FIG. 11, the setting information and maintenance information output from the controller, the setting information and maintenance information output from each sensor, and the failure prediction information and failure information generated in the data converter. is displayed on the display of the computer 80 . The computer 80 is a device for notifying failure prediction information and failure information by display, and constitutes an information notifying section of the present invention.

In this embodiment, an activation sensor and an auxiliary photoelectric sensor are exemplified as the sensors provided in the automatic door. However, the automatic door may be equipped with sensors other than the activation sensor and the auxiliary photoelectric sensor. For example, an automatic door may include a door pocket sensor for detecting objects in the direction of travel of the door when the door is opened. It should be noted that sensors other than the activation sensor and the auxiliary photoelectric sensor are handled in the same way as the activation sensor and the auxiliary photoelectric sensor in various processes in the present embodiment.

10 automatic door monitoring system 21 data converter (information generator, failure prediction information generator)
30 automatic door 31 door (parts)
33 guide rail (component)
35, 36 starting sensor (sensor)
37 auxiliary photoelectric sensor (sensor)
41 hanger rail (parts)
42 Door hanger (Parts)
47 motor 50 automatic door 60 base terminal (information notification unit)
70 Server (information generator, failure prediction information generator)
80 Computer (Information Notification Department)
200 reports

Claims (10)

an information generating unit that generates failure prediction information indicating failure prediction of the automatic door;
an information notification unit that notifies the failure prediction information generated by the information generation unit;
The information generation unit generates the failure prediction information based on a change from normal information output from the automatic door,
The information generation unit obtains the degree of deterioration of the parts related to the change in information based on the degree of change from the normal state of the information output from the automatic door, and uses the obtained degree of deterioration in the failure prediction. An automatic door monitoring system characterized by including in information . The information output from the automatic door includes the current value of the motor that drives the automatic door,
2. The automatic door monitoring system according to claim 1, wherein the information generator generates the failure prediction information based on a change in the current value from a normal state. The information output from the automatic door includes the moving speed of the automatic door in at least one operation of opening and closing the automatic door,
2. The automatic door monitoring system according to claim 1, wherein the information generator generates the failure prediction information based on a change in the moving speed from a normal state. The information output from the automatic door includes the time required for at least one operation of opening and closing the automatic door,
2. The automatic door monitoring system according to claim 1, wherein the information generator generates the failure prediction information based on a change in the required time from normal. The information output from the automatic door includes vibration generated in the automatic door during at least one operation of opening and closing the automatic door,
2. The automatic door monitoring system according to claim 1, wherein the information generator generates the failure prediction information based on a change in the vibration from normal. The information output from the automatic door includes the number of rotations of a motor that drives the automatic door in at least one operation of opening and closing the automatic door;
2. The automatic door monitoring system according to claim 1, wherein the information generator generates the failure prediction information based on a change in the number of times from a normal state. The information output from the automatic door includes the sensitivity of the sensor of the automatic door,
2. The automatic door monitoring system according to claim 1, wherein the information generator generates the failure prediction information based on a change in the sensitivity from a normal state. 8. The automatic door monitoring system according to claim 1, wherein said information generator automatically generates a report including said failure prediction information. 9. The automatic door monitoring system according to claim 8, wherein the information notification unit automatically transmits the report to the owner of the automatic door. An information generation unit that generates failure prediction information indicating prediction of failure of the automatic door,
The information generation unit generates the failure prediction information based on a change from normal information output from the automatic door,
The information generation unit obtains the degree of deterioration of the parts related to the change in information based on the degree of change from the normal state of the information output from the automatic door, and uses the obtained degree of deterioration in the failure prediction. A failure prediction information generating device characterized by including information in the information.

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