JP5214686B2 - Information collection device, information collection program, and building management system - Google Patents

Description

  Embodiments described herein relate generally to an information collection apparatus, an information collection program, and a building management system.

  In large buildings such as buildings and factories, a building management system is introduced in order to monitor and control the state of equipment such as air conditioning and lighting in the building. A conventional building management system is a closed system composed of a monitoring terminal and equipment for the purpose of monitoring and controlling equipment. In recent years, there are an increasing number of cases in which building management systems are linked to external systems such as OA systems and physical security systems for the purpose of building energy saving and value enhancement. Thereby, for example, the operating state of the equipment can be displayed on the monitor of the personal computer. Also, by cooperating with the entrance / exit management system, it is possible to prevent forgetting to turn off the air conditioning or lighting of the room. In addition, by cooperating with the schedule management system, the air conditioning of the conference room can be automatically monitored.

  The external system transmits a request to the building management system, and acquires state information (process data) of the equipment. For example, the process data for air conditioning includes a power ON / OFF value and a set temperature value. Such processing has not been found in conventional building management systems. The conventional building management system is assumed to be used by several building administrator users, but it can be used by hundreds or thousands of building residents by linking with external systems. There is sex. It is difficult to accurately assume the usage of building residents. In some cases, it will be linked later with an external system that was not assumed when designing the building management system. Therefore, the linkage with the external system makes it difficult to estimate the load on the building management system.

  Process data crawling and caching are methods for avoiding unexpected loads due to linkage with external systems. Crawling is the collection (crawl) of process data at regular intervals. Caching is to accumulate (cache) crawled process data for a certain period. A device that performs this crawling and caching is called a gateway (hereinafter referred to as GW).

  By using the GW, it is possible to estimate the load of the building management system. That is, the load generated when the GW performs crawling is a load newly generated in the building management system. Since the GW caches process data, a request from an external system can be processed only by the GW. Even if the external system sends many requests, the load generated in the building management system is only the load caused by crawling of the GW.

  However, if the transmission frequency (request rate) of requests during crawling is too high, the load on the building management system will increase, so it is necessary to achieve the highest possible request rate while keeping the load within an allowable range. . Since the crawling request is processed by the IP controller in the building management system, a load due to crawling is generated in the IP controller. When the load on the IP controller increases, the control command may be missed or the execution of the control may be delayed, reducing the reliability of the building management system.

  In an equipment network of a building management system, an abnormal state that causes a sudden increase in the load on the IP controller occurs due to frequent alarms, new entry of a monitoring terminal, or the like. In an abnormal state, since the load on the IP controller is high, when a sign that the operation of the IP controller becomes unstable is detected, it is required to quickly reduce the request rate and reduce the load on the IP controller. Also, once the request rate is lowered and then suddenly returned to the original value, the load on the IP controller will increase rapidly, and control commands may be missed. It is required to return to the value.

  As a method for estimating a load state of a device and adjusting a request rate, one that estimates a load state of a plurality of web servers from communication performance is known. Specifically, the monitoring device sends a health check packet to each web server and measures a response time (Round Trip Time, hereinafter referred to as RTT) until a response is returned. Then, when the RTT statistical value exceeds the threshold, it is determined that the web server is in a high load state, and the request rate to the web server is lowered.

  Also known is a technique for reducing the request rate of a health check packet for a certain time when the RTT for the health check packet exceeds a threshold value.

  By using these methods, it is possible to reduce the request rate while assuming the load of the target device. However, if these methods are applied to the equipment network as they are, it is impossible to quickly determine that the IP controller is in a high load state, there is a problem that the decrease in the request rate is delayed and the high load state of the IP controller is prolonged. . In addition, after reducing the request rate, there is not much consideration on how to increase the request rate, so if the load temporarily decreases, the request rate is restored and the IP controller is loaded again. There was a problem of becoming a state.

JP 2006-178698 A JP 2004-62246 A

  An object of the present invention is to provide an information collection device, an information collection program, and a building management system that can quickly detect a high load state of an IP controller in an equipment network and prevent an excessive load.

  According to this embodiment, the information collection device transmits a request to the IP controller based on the request rate, receives the process data corresponding to the request from the IP controller, and the process data by the collection unit Storage unit that stores a response time required from the transmission of the request to the reception of the process data, an acquisition unit that acquires alarm information output from the IP controller, and the alarm by the acquisition unit A determination unit that determines whether or not an information acquisition frequency exceeds a predetermined value; a detection unit that detects a new entry of a monitoring terminal that acquires the process data from the IP controller; and a completion of an entry process by the monitoring terminal; . The information collection device further extracts a response time serving as a first population from the storage unit when the acquisition frequency is equal to or less than the predetermined value or when the monitoring terminal does not perform entry processing. When the acquisition frequency exceeds the predetermined value or when the entry process by the monitoring terminal is performed, a response time that becomes a second population smaller than the first population from the storage unit and A calculation is performed in which a response time for a third population larger than the first population is extracted, a second statistical value is calculated using the second population, and a third statistical value is calculated using the third population. And when the first statistical value is larger than a first threshold, the request rate is controlled to be small, and when the first statistical value is smaller than the second threshold and smaller than the second threshold, the request rate is decreased. Enlarge Control so as to decrease the request rate when the second statistical value is greater than the first threshold value, and increase the request rate when the third statistical value is equal to or less than the second threshold value. And a control unit for controlling.

1 is a schematic configuration diagram of a building management system according to an embodiment of the present invention. It is a schematic block diagram of the information collection device which concerns on the same embodiment. It is a figure which shows an example of the data format of a RTT memory | storage part. It is a figure which shows the example of a change of a population. It is a flowchart explaining the process data collection process which concerns on the same embodiment. It is a flowchart explaining the request rate control process which concerns on the same embodiment. It is a flowchart explaining the request rate control process which concerns on the same embodiment. It is a flowchart explaining the alarm information acquisition process which concerns on the same embodiment. It is a flowchart explaining the alive check process which concerns on the same embodiment. It is a flowchart explaining the request rate control process by a modification. It is a flowchart explaining the request rate control process by a modification. It is a flowchart explaining the process data collection process by a modification.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  FIG. 1 shows a schematic configuration of a building management system according to an embodiment of the present invention. The building management system includes a plurality of facility devices 300, a plurality of IP controllers 200 that respectively obtain state information (process data) of the plurality of facility devices 300, an information collection device 100 that collects process data from the IP controller 200, And a monitoring terminal 400 that receives process data from the IP controller 200 and monitors and controls the state of the equipment 300.

  The equipment 300 is air conditioning or lighting, for example. The process data of the facility device 300 is, for example, an air conditioner power on / off value, a set temperature value, and an illumination on / off value.

  When receiving a request from the information collecting apparatus 100, the IP controller 200 transmits process data corresponding to the request to the information collecting apparatus 100. Further, the IP controller 200 transmits process data to the monitoring terminal 400 in response to a request from the monitoring terminal 400. The IP controller 200 outputs alarm information when in a high load state. The alarm information is output at various timings, for example, when setting the temperature of the air conditioner or in an emergency such as a disaster.

  The information collecting apparatus 100 transmits a request for requesting process data to each IP controller 200 and collects process data from each IP controller 200. Further, when the information collection apparatus 100 receives a request from the external system 500, the information collection apparatus 100 transmits the collected process data to the external system 500. The information collection device 100 is also called a gateway.

  Such a building management system equipment network has a steady state and an abnormal state. The steady state is a state where the load of the IP controller 200 is low and the operation is stable. The abnormal state refers to a state in which the operation of the IP controller 200 is heavy and a phenomenon such as a loss of a control command is likely to occur and the operation is unstable.

  There are two main causes of the abnormal state: frequent alarms and new entry of the monitoring terminal 400. The frequent occurrence of alarms is a phenomenon in which a large amount of alarm information is transmitted on the equipment network, and the load on the IP controller 200 increases due to processing of the alarm information. The new entry of the monitoring terminal 400 is a process of collecting all process data held by the IP controller 200 in order to grasp the latest equipment state when the monitoring terminal 400 enters the equipment network. Since a large amount of requests for requesting process data are transmitted, the load on the IP controller 200 increases due to the processing.

  FIG. 2 shows a schematic configuration of the information collecting apparatus 100. The information collection device 100 transmits a request to the IP controller 200, collects process data from the IP controller 200, a process data storage unit 140 that stores the collected process data, and a request transmission. An RTT storage unit 150 that stores response time (Round Trip Time, hereinafter referred to as RTT) required to receive process data, an alarm information acquisition unit 160 that acquires alarm information output from the IP controller 200, and alarms frequently occur. An alarm frequent occurrence determination unit 170 that determines whether or not a situation is present, an alive check unit 180 that detects a new entry of a monitoring terminal, an RTT statistical value calculation unit 130 that calculates an RTT statistical value for each IP controller 200, Process data collection unit 110 makes a request to IP controller 200 It includes a rate control unit 120 for controlling the interval (request rate) for signal, a.

  In addition, the information collecting apparatus 100 receives a request from the external system 500 (see FIG. 1), processes the received request, and sends process data requested by the external system 500 from the process data storage unit 140. A request processing unit 193 to be extracted and a transmission unit 192 that transmits the process data extracted from the process data storage unit 140 by the request processing unit 193 to the external system 500 are further provided.

  The process data collection unit 110 crawls process data from each IP controller 200 based on the set request rate, and adds the collected process data to the process data storage unit 140. Crawling means collecting process data at regular intervals. Hereinafter, the request rate for the j-th IP controller 200j among the plurality of IP controllers 200 is denoted as Rj (request / second). That is, the request transmission interval Ij (seconds) to the IP controller 200j is 1 / Rj. Note that j is an integer greater than or equal to 1 and less than or equal to the number of IP controllers 200.

  Further, the process data collection unit 110 calculates a time (RTT) from when the request is transmitted until the process data (response) is received, and adds the calculated time (RTT) to the RTT storage unit 150.

  The process data storage unit 140 stores the process data added by the process data collection unit 110 for a predetermined time.

  The RTT storage unit 150 stores the RTT for a predetermined time C1 (seconds) for each IP controller 200. C1 is called the RTT storage period. The RTT storage period C1 is a value common to each IP controller. An example of the data format of the RTT storage unit 150 is shown in FIG. The RTT storage period C1 is a value set in advance, and is a sufficiently large value compared to the request transmission interval Ij. Therefore, the RTT storage unit 150 stores CTT / Ij (division remainder is rounded down) RTT at the time of process data collection for the IP controller 200j.

  The alarm information acquisition unit 160 receives alarm information transmitted from the IP controller 200 and notifies the alarm frequent occurrence determination unit 170 of the alarm information.

  The alarm frequent occurrence determination unit 170 receives the notification from the alarm information acquisition unit 160, and determines that the alarm is frequently occurring when the alarm information acquisition frequency by the alarm information acquisition unit 160 exceeds a predetermined value. For example, the alarm frequent occurrence determination unit 170 determines that the alarm is frequently occurring when a predetermined number of alarms are transmitted within a predetermined time. The frequent alarm determination unit 170 notifies the RTT statistical value calculation unit 130 and the rate control unit 120 of the determination result. The timing of determination may be the timing at which the alarm information is received, or may be the timing at regular intervals.

  As described above, the situation where alarms are frequently generated is an abnormal state of the equipment network. Therefore, the alarm frequent occurrence determination unit 170 can notify the RTT statistical value calculation unit 130 and the rate control unit 120 of an abnormal state.

  When detecting the new entry of the monitoring terminal 400, the alive check unit 180 notifies the RTT statistical value calculation unit 130 and the rate control unit 120. In addition, when the alive check unit 180 detects that the entry process of the monitoring terminal 400 is completed, the alive check unit 180 notifies the RTT statistical value calculation unit 130 and the rate control unit 120.

  New entry of the monitoring terminal 400 can be confirmed by periodically transmitting an alive check packet. For example, when BACnet / IP is used, there is a method of periodically broadcasting a Who-Is message. When the I-Am message is returned, it can be determined that the monitoring terminal 400 has entered the building management system. There is also a method of periodically sending a ping to the IP address of the monitoring terminal 400.

  Further, it is possible to detect that the entry process of the monitoring terminal 400 is completed as follows. For example, when BACnet / IP is used, since the monitoring terminal 400 performing the entry process notifies the entry process phase using the EventNotification message, the alive check unit 180 receives the message, Completion of entry processing can be detected. Alternatively, it may be determined that the entry process has been completed when a predetermined time has elapsed since the entry of the monitoring terminal 400 has been detected.

  As described above, while the monitoring terminal 400 newly enters and performs entry processing, the equipment network is in an abnormal state. Therefore, the alive check unit 180 can notify the RTT statistical value calculation unit 130 and the rate control unit 120 of an abnormal state.

  The RTT statistical value calculation unit 130 extracts a plurality of RTTs stored in the RTT storage unit 150 and calculates an RTT statistical value for each IP controller 200. A plurality of RTTs extracted from the RTT storage unit 150 by the RTT statistical value calculation unit 130 become a statistical value calculation population. The interval (seconds) for calculating the RTT statistical value is set for each IP controller 200. For example, the statistical value calculation interval for the IP controller 200j may be equal to the request transmission interval Ij. In this case, every time an RTT is added to the RTT storage unit 150, an RTT statistical value is calculated for the IP controller 200j.

  The population may be set by the number or may be set by the period. When setting by the number, for example, a statistical value is calculated using the past five RTTs as a population. On the other hand, when the period is set, for example, the statistical value is calculated using the RTT in the past one minute as a population. As the statistical value, for example, an average value, a standard deviation value, a maximum value, a total value, or the like can be used.

  The RTT statistical value calculation unit 130 changes the statistical value calculation population depending on whether or not the alarm frequent occurrence determination unit 170 or the alive check unit 180 is notified of the abnormal state.

  Specifically, the population in the case where the RTT statistical value calculation unit 130 is not notified of the abnormal state, that is, in the steady state, is defined as the population U1. The population U1 is, for example, the past five RTTs. The RTT statistical value calculator 130 calculates the RTT statistical value Sj for the IP controller 200j from the population U1.

  On the other hand, when the RTT statistical value calculation unit 130 is notified of the abnormal state, the RTT statistical value calculation unit 130 calculates two statistical values using the two populations U2 and U3. The population U2 is a population smaller than the population U1, and is, for example, the past three RTTs. The population U3 is a population larger than the population U1, and is, for example, the past seven RTTs. The RTT statistical value calculator 130 calculates the RTT statistical value DSj for the IP controller 200j from the population U2, and calculates the RTT statistical value USj for the IP controller 200j from the population U3.

  An example of the population is shown in FIG. In the example shown in FIG. 4, the population is set by the number of RTTs, the population U1 is the past 5 RTTs, the population U2 is the past 3 RTTs, the population U3 is the past 7 RTTs, and the statistical values Sj is an average value.

  In the steady state, as shown in FIG. 4A, the statistical value Sj is calculated using the past five RTTs.

  On the other hand, in the case of an abnormal state, as shown in FIG. 4B, the statistical value DSj is calculated using the past three RTTs. By reducing the population, the influence of the increased RTT can be quickly reflected in the statistical value DSj.

  In the case of an abnormal state, as shown in FIG. 4C, the statistical value USj is calculated using the past seven RTTs. By increasing the population, it is possible to suppress the influence of the temporarily reduced RTT on the statistical value USj.

  The reason for obtaining two statistical values DSj and USj using two populations U2 and U3 in the case of an abnormal state will be described later.

  The RTT statistical value calculation unit 130 notifies the rate control unit 120 of the calculated statistical value Sj or the statistical values DSj and USj.

  When the rate control unit 120 is not notified of the abnormal state from the alarm frequent occurrence determination unit 170 or the alive check unit 180, that is, in a steady state, the rate control unit 120 and the statistical value Sj notified from the RTT statistical value calculation unit 130 The thresholds B1 and B2 are compared, and the request rate Rj is controlled based on the comparison result. Here, B1> B2.

  For example, if Sj> B1, the rate control unit 120 determines that the IP controller 200j is in a high load state, and controls the process data collection unit 110 to reduce the request rate Rj.

  If B1 ≧ Sj> B2, the rate control unit 120 determines that the IP controller 200j is in an appropriate load state, and maintains the request rate Rj.

  If B2 ≧ Sj, the rate control unit 120 determines that the IP controller 200j is in a low-load state that can handle more requests, and controls the process data collection unit 110 to increase the request rate Rj. .

  On the other hand, when the rate control unit 120 is notified of an abnormal state from the alarm frequent occurrence determination unit 170 or the alive check unit 180, the rate control unit 120 calculates the statistical value DSj and the threshold value B1 notified from the RTT statistical value calculation unit 130. Comparison is made, the statistical value USj is compared with the threshold value B2, and the request rate Rj is controlled based on the comparison result.

  For example, if DSj> B1, the rate control unit 120 determines that the IP controller 200j is in a high load state, and controls the process data collection unit 110 to reduce the request rate Rj.

  If B2 ≧ USj, the rate control unit 120 determines that the IP controller 200j is in a low load state that can handle more requests, and controls the process data collection unit 110 to increase the request rate Rj. .

  If B1 ≧ DSj and USj> B2, the rate control unit 120 maintains the request rate Rj.

  Thus, in the abnormal state, the statistical value DSj obtained from the population U2 smaller than the population U1 is compared with the threshold value B1. As shown in FIG. 4B, the influence of the increased RTT can be quickly reflected in the statistical value DSj by reducing the population. Therefore, as the RTT increases, the statistical value DSj also increases quickly, easily exceeding the threshold value B1, and the request rate Rj can be easily decreased. Therefore, it is possible to prevent the high load state of the IP controller 200 from being prolonged.

  In the abnormal state, the statistical value USj obtained from the population U3 larger than the population U1 is compared with the threshold value B2. As shown in FIG. 4C, by increasing the population, the influence of the temporarily reduced RTT on the statistical value USj can be suppressed. Therefore, even if the RTT is temporarily reduced, the reduction range of the statistical value USj is small, so that it is difficult for the threshold value B2 or less and the request rate Rj is difficult to increase. Therefore, it is possible to prevent the request rate Rj from being increased due to a temporary decrease in load, and to prevent the IP controller 200 from being further loaded.

  In this manner, the rate control unit 120 makes it easy to lower the request rate and makes it difficult to raise it in an abnormal state.

  As described above, the main processes of the information collection apparatus 100 are the process data collection process, the request rate control process, the alarm information acquisition process, and the alive check process. Hereinafter, each process will be described together with flowcharts.

  The process data collection process executed by the process data collection unit 110 will be described with reference to FIG.

  (Step S101) Based on the initial value of the request rate Rj set in the IP controller 200j, crawling of process data is started. In one crawl (a process of acquiring the process data of the equipment 300 managed by the IP controller 200j), the order in which the equipment 300 of the process data is acquired may be determined from, for example, the equipment ID. It may be determined after grouping for each equipment type. However, the order once decided is not changed. Thereby, process data of the same equipment can be collected at regular intervals.

  (Step S102) The process data obtained by the request is added to the process data storage unit 140.

  (Step S103) The RTT calculated for each request is added to the RTT storage unit 150. Here, the time from when the request is transmitted to when the process data (response) is received may be directly used as the RTT, or a value obtained by performing some calculation may be used as the RTT. For example, when the number of process data collected for each request is different, RTT may be a value obtained by dividing the difference between the response reception time and the request transmission time by the number of process data acquired in the current request.

  (Step S104) If the request rate Rj is changed from the rate control unit 120, the process proceeds to step S105, and if not changed, the process proceeds to step S106.

  (Step S105) The request rate Rj is changed. Note that the change rate of the request rate Rj may be set in advance, or may be determined each time by the rate control unit 120.

  (Step S106) When the process is continued, the process returns to Step S102 to perform crawling.

  Next, the request rate control process will be described with reference to FIGS.

  (Step S201) The RTT statistical value calculation unit 130 generates a calculation thread for calculating the statistical value. The same number of threads as the IP controller 200 are generated.

  (Step S202) Each IP controller 200 is assigned to each calculation thread.

  (Step S203) An RTT statistical value calculation interval is assigned to each calculation thread. Here, the request transmission interval Ij is assigned to the calculation thread in charge of the IP controller 200j as the calculation interval. Of course, another interval may be assigned.

  (Step S204) If a notification that the alarm has frequently changed is received from the alarm frequent occurrence determination unit 170 or the alive check unit 180, the process proceeds to step S211. If not received (in a steady state), the process proceeds to step S205. move on.

  (Step S205) The RTT statistical value calculation unit 130 sets a population U1 for each calculation thread. Here, “setting by number” is selected as the setting method of the population U1. Of course, another setting method may be selected.

  (Step S206) Each time the calculation interval elapses, each calculation thread acquires the RTT value of the responsible IP controller from the RTT storage unit 150. Here, the past U1 RTTs are acquired.

  (Step S207) Each calculation thread calculates the statistical value Sj using the acquired RTT. As a statistical value, for example, a standard deviation value is calculated.

  (Step S208) Each calculation thread notifies the statistical value Sj to the rate control unit 120.

  (Step S209) The rate control unit 120 compares the statistical value Sj with the threshold value B1. If the statistical value Sj exceeds the threshold value B1, the process proceeds to step S217. If the statistical value Sj is equal to or less than the threshold value B1, the process proceeds to step S210.

  (Step S210) The rate control unit 120 compares the statistical value Sj with the threshold value B2. If the statistical value Sj exceeds B2, the process proceeds to step S221 while maintaining the request rate Rj. If the statistical value Sj is less than the threshold value B2, the process proceeds to step S219.

  (Step S211) The RTT statistical value calculation unit 130 sets a population U2 smaller than the population U1 and a population U3 larger than the population U1 in each calculation thread. The determination method of U2 and U3 may be a fixed value set in advance, or may be dynamically calculated from the alarm occurrence frequency.

  (Step S212) Each time the calculation interval elapses, each calculation thread acquires the RTT value of the assigned IP controller from the RTT storage unit 150. Here, the past U2 and the past U3 RTTs are acquired.

  (Step S213) Each calculation thread calculates the statistical value DSj from the acquired past U2 RTTs, and calculates the statistical value USj from the acquired past U3 RTTs. As the statistical value, the same standard deviation value as in step S207 is calculated.

  (Step S214) Each calculation thread notifies the rate control unit 120 of the statistical values DSj and USj.

  (Step S215) The rate control unit 120 compares the statistical value DSj with the threshold value B1. When the statistical value DSj exceeds the threshold value B1, the process proceeds to step S217, and when it is equal to or less than the threshold value B1, the process proceeds to step S216.

  (Step S216) The rate control unit 120 compares the statistical value USj with the threshold value B2. If the statistical value USj is less than or equal to the threshold value B2, the process proceeds to step S219. If the statistical value USj exceeds the threshold value B2, the process proceeds to step S221 while maintaining the request rate Rj.

  (Step S217) The rate control unit 120 notifies the process data collection unit 110 of a request rate reduction command. The request rate reduction command may include information on the reduction rate of the request rate Rj. The amount of decrease may be a fixed value or may be determined dynamically from the difference between the statistical value and the threshold value B1.

  (Step S218) The process data collection unit 110 decreases the request rate Rj for the IP controller 200j based on the request rate decrease command.

  (Step S219) The rate control unit 120 notifies the process data collection unit 110 of a request rate increase command. The rate increase command may include information on the increase rate of the request rate Rj. The increase amount may be a fixed value or may be dynamically determined from the difference between the statistical value and the threshold value B2.

  (Step S220) The process data collection unit 110 increases the request rate Rj for the IP controller 200j based on the request rate increase command.

  (Step S221) When the process is continued, the process returns to Step S204.

  Next, alarm information acquisition processing will be described with reference to FIG.

  (Step S301) The alarm information acquisition unit 160 waits for alarm information transmitted from the IP controller 200. For example, when the monitoring terminal 400 and the IP controller 200 are performing communication using BACnet / IP, the alarm notification information is broadcast from the IP controller 200. The alarm information acquisition unit 160 may periodically inquire of the IP controller 200 whether or not an alarm has occurred.

  (Step S302) When the alarm information acquisition unit 160 acquires the alarm information, the alarm information acquisition unit 160 notifies the alarm frequent occurrence determination unit 170 of the alarm information.

  (Step S303) The frequent alarm determination unit 160 stores the received alarm information in association with the current time.

  (Step S304) It is determined whether or not the number of alarm information (alarm information acquisition frequency) acquired during the past T1 time exceeds a threshold value N. The values of T1 and threshold value N may be fixed values set in advance, or may be dynamically calculated based on past alarm generation trends.

  If the acquisition frequency exceeds the threshold N, the process proceeds to step S305, and if not, the process proceeds to step S310.

  (Step S305) The alarm frequent occurrence determination unit 170 notifies the RTT statistical value calculation unit 130 and the rate control unit 120 that an alarm frequent occurrence state (abnormal state) has occurred.

  (Step S306) The alarm frequent occurrence determination unit 170 discards the alarm information received in the past from the time T2. The value of T2 may be a fixed value set in advance, or may be dynamically calculated based on past alarm generation trends.

  (Step S307) The RTT statistical value calculation unit 130 changes the population set for each thread from the population U1 to the population U2 and the population U3.

  (Step S308) After the RTT statistical value calculation unit 130 receives the notification of frequent occurrence of alarms from the frequent occurrence determination unit 170, when a predetermined time T3 has elapsed, the process proceeds to step S309. The fixed time T3 may be a fixed value set in advance, or may be dynamically calculated from an alarm occurrence frequency or the like.

(Step S309) The RTT statistical value calculation unit 130 resets the population U1 for each thread.
(Step S310) When the process is continued, the process returns to Step S301.

  Next, the alive check process will be described with reference to FIG.

  (Step S401) When the alive check unit 180 confirms the new entry of the monitoring terminal, the process proceeds to Step S402. Confirmation of the new entry of the monitoring terminal can be realized by transmitting / receiving a specific message as described above.

  (Step S402) The alive check unit 180 notifies the RTT statistical value calculation unit 130 and the rate control unit 120 of a new entry (abnormal state) of the monitoring terminal.

  (Step S403) The RTT statistical value calculation unit 130 changes the population set for each thread from the population U1 to the populations U2 and U3.

  However, if it is already in the state of frequent alarms, a population U4 smaller than the population U2 and a population U5 larger than the population U3 are set in each thread. The determination method of U4 and U5 may be a fixed value set in advance, or may be calculated from the number of facility devices monitored by the system.

  (Step S404) When the alive check unit 180 confirms that the entry process of the monitoring terminal is completed, the process proceeds to step S405.

  (Step S405) The alive check unit 180 notifies the RTT statistical value calculation unit 130 and the rate control unit 120 that the entry process of the monitoring terminal has been completed.

  (Step S406) The RTT statistical value calculation unit 130 resets the population U1 for each thread.

  (Step S407) When the process is continued, the process returns to Step S401.

  In the above flowchart, the case where a new entry of a monitoring terminal further occurs in a state where alarms frequently occur, but the order may be reversed. That is, if a new entry of a monitoring terminal is detected first, the populations U2 and U3 may be set at that time, and then the populations U4 and U5 may be set when frequent alarms are detected.

  As described above, according to the present embodiment, in the abnormal state, the RTT statistical population used for calculating the RTT statistical value is made smaller than the steady state to obtain the statistical value DSj. Reflect immediately. Therefore, it becomes easy to lower the request rate, and it is possible to prevent an excessive load on the IP controller 200.

  Further, in the present embodiment, in the abnormal state, the RTT statistical population used for calculation of the RTT statistical value is made larger than the steady state to obtain the statistical value USj, so that the temporary decrease in the RTT value becomes the statistical value DSj. Suppress the impact, making it difficult to increase the request rate. Therefore, it is possible to prevent the request rate from being increased due to a temporary decrease in the RTT value, and it is possible to prevent further load from being applied to the IP controller 200 in a high load state.

  In the above embodiment, the population is changed in an abnormal state, but the threshold values B1 and B2 may be reduced without changing the population. Even by such a method, the request rate can be easily lowered and difficult to raise.

  Further, the statistical value calculation interval may be shortened in an abnormal state. As a result, the determination of rate control can be executed in detail.

  Further, the increase rate of the request rate Rj can be determined from “the number of times the request rate Rj has been decreased in the past”. Decreasing the request rate means that the load on the IP controller 200 is high. Therefore, the request rate can be carefully increased by reducing the subsequent increase rate of the request rate. For example, the request rate can be carefully increased by setting the increase rate to X / Y when the increase rate in the initial state is X and Y is the number of times the request rate Rj has been decreased in the past.

  In the embodiment described above, a threshold value that is compared with the statistical value in the rate control unit 120 may be prepared for each IP controller 200 in consideration of performance differences among the plurality of IP controllers 200.

  The plurality of IP controllers 200 constituting the building management system may not all exhibit the same performance, and may have different hardware. In this case, even if the load of the IP controller 200 is equal, the IP controller 200 causes a difference in the absolute value of the RTT or a difference in the variation of the RTT. That is, if the performance of the IP controller 200 is different, a difference occurs in the RTT statistical value. At this time, if there is only one threshold that is compared with the statistic to determine whether to reduce the request rate, the RTT statistic of a certain IP controller will exceed the threshold despite the equal load, This means that the RTT statistics value of a certain IP controller does not exceed the threshold value. Such a problem can be solved by preparing threshold values B1j and B2j for each IP controller 200.

  The request rate control process when a plurality of threshold values are prepared is shown in FIGS. Steps other than steps S509, S510, S515, and S516 in FIGS. 10 and 11 are the same as those in FIGS.

  (Step S509) The rate control unit 120 compares the statistical value Sj with the threshold value B1j. If the statistical value Sj exceeds the threshold value B1j, the process proceeds to step S517. If the statistical value Sj is equal to or less than the threshold value B1j, the process proceeds to step S510.

  (Step S510) The rate control unit 120 compares the statistical value Sj with the threshold value B2j. If the statistical value Sj exceeds B2j, the process proceeds to step S521 while maintaining the request rate Rj. If the statistical value Sj is less than the threshold B2j, the process proceeds to step S519.

  (Step S515) The rate control unit 120 compares the statistical value DSj with the threshold value B1j. When the statistical value DSj exceeds the threshold value B1j, the process proceeds to step S517. When the statistical value DSj is equal to or less than the threshold value B1j, the process proceeds to step S516.

  (Step S516) The rate control unit 120 compares the statistical value USj with the threshold value B2j. If the statistical value USj is equal to or less than the threshold value B2j, the process proceeds to step S519. If the statistical value USj exceeds the threshold value B2j, the process proceeds to step S521 while maintaining the request rate Rj.

  In step S511, the sizes of the populations U2 and U3 to be set may be determined in consideration of the performance of the IP controller.

  In this way, by considering the performance of the IP controller and setting the threshold values B1j and B2j for request rate control for each IP controller, request rate control according to the performance can be realized.

  Since the building management system is a system in which reliability is important, it is important not to place an excessive load on the IP controller. On the other hand, it is also important to collect process data at regular intervals for the purpose of monitoring equipment.

  For example, it is assumed that the IP controller 200j has 100 monitoring points (monitoring point P1 to monitoring point P100) for the equipment 300 and crawls sequentially from the monitoring point P1. Here, it is assumed that when the process data of the monitoring point P50 is collected, the RTT statistical value Sj exceeds the threshold value B1. At this time, if priority is given to reducing the load on the IP controller, the request rate Rj should be immediately reduced. However, if priority is given to the data collection interval, after collecting the process data from the remaining monitoring point P51 to the monitoring point P100, a method of lowering the request rate Rj and starting a new crawl should be selected.

  The process data collection processing by the process data collection unit 110 when priority is given to such data collection intervals will be described with reference to the flowchart shown in FIG.

  (Step S601) Based on the initial value of the request rate Rj set in the IP controller 200j, crawling of process data is started.

  (Step S602) The process data obtained by the request is added to the process data storage unit 140.

  (Step S603) The RTT calculated for each request is added to the RTT storage unit 150. Here, the time from when a request is transmitted to when a response is received may be used as it is, or a value obtained by performing some calculation may be used as RTT. For example, because the number of process data collected in each request may differ due to crawling, the value obtained by dividing the difference between the response reception time and the request transmission time by the number of process data acquired in this request is RTT. There is also a way to do it.

  (Step S604) When a request rate decrease command or a request rate increase command is received from the rate control unit 120, the command is temporarily stored.

  (Step S605) When the crawl for the IP controller 200j is completed, the request rate Rj is changed based on the command, and crawling is resumed.

  (Step S606) When the process is continued, the process returns to Step S602 to perform crawling.

  Thus, by giving priority to the interval of data collection, it is possible to collect process data suitable for monitoring equipment.

  At least a part of the information collection apparatus 100 described in the above-described embodiment may be configured by hardware or software. When configured by software, a program for realizing at least a part of the functions of the information collecting apparatus 100 may be stored in a recording medium such as a flexible disk or a CD-ROM, and read and executed by a computer. The recording medium is not limited to a removable medium such as a magnetic disk or an optical disk, but may be a fixed recording medium such as a hard disk device or a memory.

  Further, a program that realizes at least a part of the functions of the information collecting apparatus 100 may be distributed via a communication line (including wireless communication) such as the Internet. Further, the program may be distributed in a state where the program is encrypted, modulated or compressed, and stored in a recording medium via a wired line such as the Internet or a wireless line.

  Note that the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. In addition, various inventions can be formed by appropriately combining a plurality of components disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, constituent elements over different embodiments may be appropriately combined.

100 Information collection device (gateway)
110 process data collection unit 120 rate control unit 130 RTT statistical value calculation unit 140 RTT storage unit 150 process data storage unit 160 alarm information acquisition unit 170 alarm frequent occurrence determination unit 180 alive check unit 191 reception unit 192 transmission unit 193 request processing unit 200 IP Controller 300 Equipment 400 Monitoring terminal 500 External system

Claims (9)

A collection unit that transmits a request to the IP controller based on a request rate, and receives process data corresponding to the request from the IP controller;
A storage unit that stores response time required from transmission of the request to reception of the process data every time the process data is received by the collection unit;
An acquisition unit for acquiring alarm information output from the IP controller;
A determination unit that determines whether the acquisition frequency of the alarm information by the acquisition unit exceeds a predetermined value;
A detection unit that detects a new entry of a monitoring terminal that acquires the process data from the IP controller and a completion of an entry process by the monitoring terminal;
When the acquisition frequency is equal to or less than the predetermined value and entry processing by the monitoring terminal is not performed, a response time to be a first population is extracted from the storage unit, a first statistical value is calculated, and the acquisition frequency is When the predetermined value is exceeded or when an entry process is performed by the monitoring terminal, a response time that is a second population smaller than the first population from the storage unit and a third larger than the first population Taking out response time as a population, calculating a second statistical value using the second population, and calculating a third statistical value using the third population;
The request rate is controlled to be reduced when the first statistical value is greater than a first threshold, and the request rate is increased when the first statistical value is less than or equal to a second threshold smaller than the first threshold. And control to decrease the request rate when the second statistical value is greater than the first threshold, and increase the request rate when the third statistical value is equal to or less than the second threshold. A control unit for controlling
An information collecting apparatus comprising:   The calculation unit, when the acquisition frequency exceeds the predetermined value and the entry process by the monitoring terminal is performed, a response that becomes a fourth population smaller than the second population from the storage unit A response time that is a fifth population larger than the time and the third population is extracted, the second statistical value is calculated using the fourth population, and the third statistical value is calculated using the fifth population The information collecting apparatus according to claim 1, wherein: The collection unit transmits a request to a plurality of IP controllers and receives process data,
The calculation unit calculates the first statistical value, or the second statistical value and the third statistical value for each IP controller,
The control unit compares the first threshold value and the second threshold value set for each IP controller with the first statistical value or the second statistical value and the third statistical value to compare the request rate. The information collecting apparatus according to claim 1, wherein the information collecting apparatus is controlled.   The collection unit periodically acquires first process data to n-th process data (n is an integer of 2 or more) sequentially from the IP controller, and m-th process data (m is an integer satisfying 1 ≦ m <n). The request rate is changed after acquiring the (m + 1) th process data to the nth process data when the control unit controls the request rate to change after the acquisition of the request rate. 4. The information collection device according to any one of 3.   The calculation unit extracts U1 (U1 is an integer of 2 or more) response times as the first population, and U2 (U2 is an integer satisfying 1 ≦ U2 <U1) as the second population. The information collection device according to claim 1, wherein U3 (U3 is an integer satisfying U1 <U3) response times are extracted as the third population.   The calculation unit extracts a response time added to the storage unit within a first predetermined time as the first population, and stores the response time as a second population within a second predetermined time shorter than the first predetermined time. 5. The response time added to the storage unit is taken out, and the response time added to the storage unit within the third predetermined time longer than the first predetermined time as the third population is taken out. An information collecting device according to any one of the above. A second storage unit for storing process data received by the collection unit;
A receiver for receiving a request from an external system;
A request processing unit for retrieving process data from the second storage unit based on the request received by the receiving unit;
A transmission unit that transmits the process data retrieved from the second storage unit by the request processing unit to the external system;
The information collecting apparatus according to claim 1, further comprising: Sending a request to the IP controller based on the request rate;
Receiving process data corresponding to the request from the IP controller;
Adding a response time required from the transmission of the request to the reception of the process data to the storage unit every time the process data is received;
Obtaining alarm information output from the IP controller;
Determining whether the alarm information acquisition frequency exceeds a predetermined value;
Detecting a new entry of a monitoring terminal that acquires the process data from the IP controller, and completion of entry processing by the monitoring terminal;
When the acquisition frequency is equal to or less than the predetermined value and entry processing by the monitoring terminal is not performed, a response time to be a first population is extracted from the storage unit, a first statistical value is calculated, and the acquisition frequency is When the predetermined value is exceeded or when an entry process is performed by the monitoring terminal, a response time that is a second population smaller than the first population from the storage unit and a third larger than the first population Taking a response time as a population, calculating a second statistical value using the second population, and calculating a third statistical value using the third population;
The request rate is controlled to be reduced when the first statistical value is greater than a first threshold, and the request rate is increased when the first statistical value is less than or equal to a second threshold smaller than the first threshold. And control to decrease the request rate when the second statistical value is greater than the first threshold, and increase the request rate when the third statistical value is equal to or less than the second threshold. Step to control,
Information collection program that causes a computer to execute An information collection device according to any one of claims 1 to 7,
Multiple equipment and
An IP controller that acquires process data from the plurality of equipment and transmits process data to the information collection device based on a request received from the information collection device;
Building management system with.

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