Control device and program

Abstract

To efficiently manage the hazard levels of different types of objects. [Solution] According to the embodiment, a control device is provided that includes a processing unit for managing the risk level of multiple types of objects. The processing unit acquires the temperature and quantity of a first type of object from among the multiple types of objects. The processing unit acquires the quantity of a second type of object from among the multiple types of objects. The processing unit determines the risk level based on the temperature and quantity of the first type of object and the quantity of the second type of object.

Description

[Technical Field]

[0001] Embodiments of the present invention relate to a control device and a program. [Background technology]

[0002] For example, the Fire Service Act sets limits on the amount of hazardous materials that can cause fires and other disasters that can be installed in the same location (designated quantity). This is because the level of danger of hazardous materials is known to increase with quantity. Accordingly, systems for managing the quantity of hazardous materials have been developed in recent years. Hereafter, hazardous materials that are subject to management will be referred to as "target materials." Furthermore, for example, storage batteries, which can be one of the target materials, require management not only of quantity but also of temperature.

[0003] Generally, the quantity and temperature of an object are managed separately. Therefore, when managing objects whose temperature is controlled (requiring temperature control) and objects whose temperature is not controlled (not requiring temperature control) in the same location, it was necessary to manage the hazard level of each of these multiple types of objects separately. [Prior art documents] [Patent Documents]

[0004] [Patent Document 1] Japanese Patent Publication No. 2021-187669 [Non-patent literature]

[0005] [Non-Patent Document 1] "Single cells and battery systems of industrial lithium secondary batteries - Part 2: Safety requirements" Japanese Industrial Standard, JIS C8715-2 C8715-2:2019 [Overview of the project] [Problems that the invention aims to solve]

[0006] Therefore, the problem that the present invention aims to solve is to provide a control device and program that can efficiently manage the degree of danger of different types of objects. [Means for solving the problem]

[0007] According to the embodiment, a control device is provided that includes a processing unit for managing the hazard levels of multiple types of objects. The processing unit acquires the temperature and quantity of a first type of object from among the multiple types of objects. The processing unit acquires the quantity of a second type of object from among the multiple types of objects. The processing unit determines the hazard level based on the temperature and quantity of the first type of object and the quantity of the second type of object. [Brief explanation of the drawing]

[0008] [Figure 1] A block diagram showing an example configuration of the control device according to the first embodiment. [Figure 2] A diagram showing an example of the hardware configuration of the control device according to the first embodiment. [Figure 3] A diagram showing an example configuration of a lithium-ion battery set managed by a control device according to the first embodiment. [Figure 4] A block diagram showing an example of the configuration of the control device according to the first modified example. [Figure 5] A block diagram showing an example configuration of the control device according to the second embodiment. [Figure 6] A diagram illustrating the first temperature range used in the control device according to the second embodiment. [Figure 7] A block diagram showing an example configuration of the control device according to the third embodiment. [Figure 8] A diagram illustrating the processing of the temperature determination unit of the control device according to the fourth embodiment. [Figure 9] A block diagram showing an example configuration of the control device according to the fifth embodiment. [Figure 10] A block diagram showing an example of the configuration of the control device according to the second modified example. [Figure 11] A block diagram showing an example configuration of the control device according to the sixth embodiment. [Figure 12] A block diagram showing an example configuration of the control device according to the seventh embodiment. [Figure 13] A block diagram showing an example configuration of the control device according to the eighth embodiment. [Modes for carrying out the invention]

[0009] The following describes each embodiment with reference to the drawings. It should be noted that the disclosure is merely an example, and the invention is not limited by the contents described in the embodiments below. Modifications that a person skilled in the art can easily apply are naturally included within the scope of the disclosure. In order to make the explanation clearer, the size, shape, etc. of each part may be schematically represented in the drawings with modifications from the actual embodiments. In some cases, the same reference numerals may be used for corresponding elements in multiple drawings, and detailed explanations may be omitted.

[0010] (First Embodiment) First, the first embodiment will be described. Figure 1 is a block diagram showing an example configuration of the control device 30 according to the first embodiment. The control device 30 is a computer that manages the risk level d of multiple types of objects. In Figure 1, the control device 30 is shown as an example of managing the risk level d of lithium-ion batteries 11a, 11b (first type of object) and diesel fuel 21 (second type of object).

[0011] Lithium-ion batteries 11a, 11b and diesel fuel 21 are used, for example, in an uninterruptible power supply (UPS). An uninterruptible power supply is a device that supplies power to external devices such as servers in the event of a power outage or other failure. For example, an uninterruptible power supply generates power using lithium-ion batteries 11a and 11b, and if there is a problem with the lithium-ion batteries 11a and 11b, it generates power using diesel fuel 21 to prevent the power supply from being interrupted.

[0012] Lithium-ion batteries 11a and 11b are rechargeable batteries containing an electrolyte. If a malfunction occurs, lithium-ion batteries 11a and 11b generate heat, posing a risk of ignition of the components constituting them. Therefore, it is necessary to monitor the temperature of lithium-ion batteries 11a and 11b to maintain safety. Furthermore, the hazards associated with lithium-ion batteries 11a and 11b are also related to the amount of electrolyte they contain. In the following explanation, the amount of electrolyte in lithium-ion batteries 11a and 11b will simply be referred to as "the amount of lithium-ion battery 11a and 11b".

[0013] Diesel fuel 21 is used as fuel for generators and other appliances. Because diesel fuel 21 is highly flammable, storing large quantities of it in one place poses a significant risk of fire damage. For this reason, the Fire Service Act specifies a limit on the amount of diesel fuel 21 that can be stored in a single location (designated quantity).

[0014] The control device 30 according to this embodiment is used, for example, to manage the risk levels of the lithium-ion batteries 11a, 11b and the diesel fuel 21 as described above, in order to maintain the safety of the uninterruptible power supply.

[0015] The lithium-ion battery 11a is connected to the sensor 12a and the control unit 13a, and the control unit 13a is connected to the sensor 12a and the communication unit 14a. Hereinafter, the lithium-ion battery 11a, sensor 12a, control unit 13a, and communication unit 14a will be collectively referred to as the lithium-ion battery set 10a.

[0016] Sensor 12a measures the quantity and temperature of the lithium-ion battery 11a. Sensor 12a outputs the measured quantity and temperature of the lithium-ion battery 11a to the control unit 13a. In addition to the quantity and temperature of the lithium-ion battery 11a, sensor 12a may also measure humidity, voltage, etc., and output these to the control unit 13a. Hereinafter, the values ​​measured by the sensor will be referred to as "sensor values".

[0017] The control unit 13a outputs the measured sensor values ​​to the communication unit 14a at predetermined intervals. The control unit 13a also controls the lithium-ion battery 11a based on control commands received from the control device 30 via the communication unit 14a. "Control" of the lithium-ion battery 11a includes activating the lithium-ion battery 11a (starting charging and discharging) and limiting the operation of the lithium-ion battery 11a. Limiting the operation of the lithium-ion battery 11a includes stopping the charging and discharging of the lithium-ion battery 11a and reducing the voltage or current of the lithium-ion battery 11a.

[0018] Furthermore, the control unit 13a may control the lithium-ion battery 11a based on the value measured by the sensor 12a. Specifically, if the temperature measured by the sensor 12a exceeds a predetermined value, the control unit 13a may perform control such as emergency stopping the charging and discharging of the lithium-ion battery 11a, regardless of the control command of the control device 30.

[0019] The communication unit 14a transmits the temperature measured by the sensor 12a to the control device 30, along with predetermined identification information for the lithium-ion battery 11a (hereinafter referred to as the object ID). The communication unit 14a also receives control commands from the control device 30 and outputs them to the control unit 13a. The communication unit 14a and the control device 30 may communicate via a wired CAN (Controller Area Network) or wirelessly via BLE (Bluetooth® Low Energy).

[0020] The lithium-ion battery 11b is connected to the sensor 12b and the control unit 13b, and the control unit 13b is connected to the sensor 12b and the communication unit 14b. Hereinafter, the lithium-ion battery 11b, sensor 12b, control unit 13b, and communication unit 14b will be collectively referred to as the lithium-ion battery set 10b. The sensor 12b, control unit 13b, and communication unit 14b perform the same processing as the sensor 12a, control unit 13a, and communication unit 14a, respectively.

[0021] The diesel fuel 21 is connected to the sensor 22 and the control unit 23, and the control unit 23 is connected to the sensor 22 and the communication unit 24. Hereinafter, the diesel fuel 21, sensor 22, control unit 23, and communication unit 24 will be collectively referred to as the diesel fuel set 20.

[0022] The sensor 22 is installed, for example, in a container that stores diesel fuel 21, and measures the amount (remaining amount) of diesel fuel 21. The sensor 22 outputs the measured amount of diesel fuel 21 to the control unit 23.

[0023] The control unit 23 outputs the values ​​measured by the sensor 22 to the communication unit 24 at predetermined intervals. The control unit 23 also controls the diesel fuel 21 based on the control commands output by the communication unit 24. Controlling the diesel fuel 21 includes, for example, activating power generation using the diesel fuel 21 (generating electricity using the diesel fuel 21) and limiting power generation using the diesel fuel 21. Limiting the diesel fuel 21 includes stopping power generation using the diesel fuel 21, reducing the amount of diesel fuel 21 used for power generation, and lowering the voltage or current during power generation using the diesel fuel 21.

[0024] The communication unit 24 transmits the amount of diesel fuel 21 measured by the sensor 22, along with the object ID of the diesel fuel 21, to the control device 30. The communication unit 24 also receives control commands from the control device 30 and outputs them to the control unit 23. The communication unit 14a may communicate via wired CAN or wireless BLE.

[0025] In the following explanation, we will assume that the lithium-ion battery 11a is in the process of charging and discharging (operating), while the lithium-ion battery 11b and diesel fuel 21 are stopped. Furthermore, the lithium-ion batteries 11a, 11b, and diesel fuel 21 may be collectively referred to as the "object." In addition, the lithium-ion battery sets 10a, 10b, and diesel fuel set 20 may be collectively referred to as the "object set."

[0026] The control device 30 includes a communication unit 31, a storage unit 32, a processing unit 33, and an alarm device 34. The communication unit 31 controls communication between the control device 30 and the lithium-ion battery sets 10a, 10b, and the diesel fuel set 20. Specifically, the communication unit 31 receives the object ID and sensor value from each of the lithium-ion battery sets 10a, 10b, and the diesel fuel set 20, and outputs the object ID and sensor value to the processing unit 33. The communication unit 31 also transmits control commands for each object set 10a, 10b, and 20, which are output by the processing unit 33, to the corresponding object sets 10a, 10b, and 20.

[0027] The storage unit 32 stores various data used in the processing of the processing unit 33. The storage unit 32 includes a database 51 and a threshold value storage unit 52.

[0028] The database 51 stores information about each object whose risk level is managed by the control device 30. In this embodiment, the database 51 stores the object IDs assigned to each of the lithium-ion batteries 11a, 11b, and diesel fuel 21.

[0029] The threshold value storage unit 52 stores threshold values ​​used in various processes of the control device 30. In this embodiment, the threshold value storage unit 52 stores the first threshold value d th1 and the second threshold d th2 It remembers the first threshold d. th1 This is used to determine whether a control command is necessary for each object. Second threshold d th2 This is used to determine whether an alarm is necessary. Note that the first threshold d th1 The second threshold d th2 A value greater than (first threshold d) th1 >Second threshold d th2 )

[0030] The processing unit 33 determines the overall risk level of objects 11a, 11b and diesel fuel 21 (i.e., the overall risk level of all objects managed in the same location) based on the sensor values ​​transmitted from each object set 10a, 10b, and 20. The processing unit 33 also generates control commands to control each object set 10a, 10b, and 20 based on the risk level and transmits them to each object set 10a, 10b, and 20 via the communication unit 31.

[0031] The processing unit 33 includes a type determination unit 41, a temperature determination unit 42, a risk level calculation unit 43, and a control unit 44.

[0032] The type determination unit 41 determines, based on the object ID, whether the sensor value output by the communication unit 31 is the value of a first type object (lithium-ion battery 11a, 11b) or the value of a second type object (diesel fuel 21).

[0033] Specifically, when the communication unit 31 outputs the object ID and sensor value, the type determination unit 41 refers to the database 51 stored in the storage unit 32. If the output object ID is the object ID assigned to diesel fuel 21, the type determination unit 41 determines that the sensor value output along with the object ID is the sensor value of a second-type object. If it is determined to be a second-type object, it outputs the amount contained in the sensor value to the risk calculation unit 43.

[0034] On the other hand, if the output object ID is an object ID assigned to lithium-ion battery 11a or lithium-ion battery 11b, the sensor value output by the communication unit 31 is determined to be the sensor value of the first type of object.

[0035] If the sensor value is determined to be of type 1, the type determination unit 41 outputs the quantity and temperature included in the sensor value to the temperature determination unit 42. In this embodiment, the type determination unit 41 outputs the object ID of lithium-ion battery 11a, the quantity and temperature of lithium-ion battery 11a, the object ID of lithium-ion battery 11b, and the quantity and temperature of lithium-ion battery 11b to the temperature determination unit 42, respectively.

[0036] The temperature determination unit 42 converts the temperature t of the first type of object (lithium-ion battery) output by the type determination unit 41 in into a conversion value t out . For example, the temperature t in is converted by the following formula (1). t out =|t in -t n | Formula (1)

[0037] Here, t n is a predetermined reference value, and the conversion value t out is the absolute difference between the temperature t in and the reference value t n . That is, the farther the temperature t in is from the reference value t n , the larger the conversion value t out ]>. On the other hand, the closer the temperature t in is to the reference value t n , the smaller the conversion value t out .

[0038] The temperature determination unit 42 outputs the conversion value t out and the quantity included in the sensor value to the risk calculation unit 43. Here, the temperature determination unit 42 outputs the conversion value t out of the temperature of the lithium-ion battery 11a and the quantity of the lithium-ion battery 11a, and the conversion value t out of the temperature of the lithium-ion battery 11b and the quantity of the lithium-ion battery 11b to the risk calculation unit 43 respectively.

[0039] The risk calculation unit 43 obtains the risk based on the conversion value t out of the first type of object (lithium-ion batteries 11a, 11b) output by the temperature determination unit 42 and the quantity of the first type of object, and the quantity of the second type of object (light oil 21) output by the type determination unit 41. For example, the risk d is calculated by, for example, the following formula (2). <000,0645>

Number

[0040] Note that M represents the number of objects of type 1. tmp This indicates the quantity of the first type of object. ntmp α indicates the quantity of the second type of object. tmp and α ntmp This is a predetermined value (constant).

[0041] t out_k , c tmp_k The value of k is the value of the kth lithium-ion battery among the lithium-ion batteries controlled by the control device 30. That is, t out_k The temperature t of the k-th lithium-ion battery in The converted value t out This indicates c tmp_k This indicates the amount of the k-th lithium-ion battery. Here, the first lithium-ion battery (k=1) is assumed to be, for example, lithium-ion battery 11a. The second lithium-ion battery (k=2) is assumed to be, for example, lithium-ion battery 11b.

[0042] In other words, the first term of equation (2) is the amount c of the lithium-ion battery 11a. tmp_1 The temperature of lithium-ion battery 11a in Transformed value t based on this out_1 and the constant α tmp The weighted value and the amount of lithium-ion battery 11b c tmp_2 The temperature t of lithium-ion battery 11b in Transformed value t based on this out_2 and the constant α tmp This shows the sum of the weighted values.

[0043] The second term of equation (2) is the amount of diesel fuel 21 c ntmp The constant α ntmp The weighted values ​​are shown. Note that when the control device 30 manages multiple diesel fuels, the second term of equation (2) is the amount of diesel fuel c contained in each diesel fuel set. ntmp Each of these is a constant α ntmp It could also be the sum of weighted values.

[0044] According to equation (2), the risk level d is the transformed value t out_k The amount of lithium-ion batteries (Type 1 objects) with a large value c tmp_k The more of these factors there are, the higher the risk becomes. In other words, the risk level d is equal to the baseline value t. n Temperature t away from in The amount of a lithium-ion battery having c tmp_k The higher the value, the higher the risk. Also, the risk level d is based on the baseline value t. n A temperature close to t in The amount of a lithium-ion battery having c tmp_k The higher the amount, the lower the risk. Furthermore, the risk level d is determined by the amount of diesel fuel 21 (second type of target substance) c. ntmp The more there is, the higher the price, and the amount c ntmp The less of it there is, the lower the result will be. The risk calculation unit 43 outputs the calculated risk level d to the control unit 44.

[0045] The control unit 44 generates control commands for each object based on the risk level d output by the risk level calculation unit 43. Specifically, the control unit 44 uses the first threshold value d stored in the threshold value storage unit 52. th1 Refer to the first threshold d. The control unit 44 determines that the risk level d is the first threshold d th1 Depending on whether the value is higher or lower, control commands are generated to control each object.

[0046] For example, if the risk level d is the first threshold d th1 If higher (risk d > first threshold d) th1 ) The control unit 44 generates a control command instructing the operating lithium-ion battery 11a (lithium-ion battery set 10a) to stop charging and discharging in order to reduce the risk level d. Alternatively, the control unit 44 may generate a control command instructing the lithium-ion battery 11a to lower the voltage or current.

[0047] On the other hand, the risk level d is the first threshold d th1 In the following cases (risk d ≤ first threshold d) th1), the control unit 44 generates a control command instructing the system to maintain its current state. In this case, the control unit 44 generates a control command instructing the operating lithium-ion battery 11a to continue operating, and generates a control command instructing the stopped lithium-ion battery 11b and diesel fuel 21 to remain stopped. In other words, the control unit 44 generates the same control command as before.

[0048] Furthermore, if each object 11a, 11b, and 21 is designed to continue following the most recent control command, the control unit 44 will output a control command once, and unless there is an abnormality (i.e., the risk level d is the first threshold d) th1 It may also be in a form that does not generate control commands (unless it exceeds a certain threshold).

[0049] The control unit 44 transmits the generated control commands to the lithium-ion battery sets 10a and 10b and the diesel fuel set 20 via the communication unit 31. In the following description, the act of transmitting the generated control commands to the target object via the communication unit 31 may also be referred to as controlling the target object.

[0050] Furthermore, the control unit 44 outputs an alarm command to the alarm device 34 based on the risk level d. Specifically, the control unit 44 outputs an alarm command based on the second threshold value d stored in the threshold value storage unit 52. th2 See the reference. The control unit 44 determines that the risk level d is the second threshold d th2 If it exceeds (risk level d > second threshold d) th2 ), outputs an alarm command to the alarm device 34.

[0051] As mentioned above, the second threshold d th2 is the first threshold d th1 It is a value smaller than the first threshold d. In other words, the control unit 44 sets the first threshold d th1 The second threshold d before it is exceeded (i.e., before the object is controlled) th2 When the risk level exceeds the first threshold d, an alarm command is issued to inform the administrator or other relevant parties that the risk level is increasing. The control unit 44 will then set the risk level d to the first threshold d th1 If it exceeds (risk d > first threshold d)th1 ), the alarm command may be output again to the alarm device 34.

[0052] The alarm device 34 issues an alarm to the administrator or other person based on an alarm command from the control unit 44. For example, the alarm device 34 displays information indicating the content of the alarm on a display (not shown). Alternatively, the alarm device 34 outputs an alert sound from an audio output device (not shown). Alternatively, the alarm device 34 transmits information indicating the content of the alarm to a terminal device owned by the administrator or other person, for example, via the communication unit 31. The alarm device 34 may issue an alarm that combines two or more of the following: displaying information indicating the content of the alarm on a display, outputting an alert sound, and transmitting information indicating the content of the alarm to a terminal device.

[0053] Figure 2 shows an example of the hardware configuration of the control device 30. The control device 30 includes, for example, a CPU (Central Processing Unit) 1, non-volatile memory 2, RAM (Random Access Memory) 3, a communication device 4, and the like.

[0054] CPU1 is at least one processor for controlling the operation of the control unit 30. CPU1 executes various programs loaded from non-volatile memory 2 into RAM3. These programs include the operating system (OS) and various application programs.

[0055] The non-volatile memory 2 is a storage medium used as an auxiliary storage device. The non-volatile memory 2 can be used as a storage area for various types of information stored by the storage unit 32. In Figure 2, only the non-volatile memory 2 is shown, but the control device 30 may also include other storage devices such as an HDD (Hard Disk Drive) and an SSD (Solid State Drive).

[0056] RAM3 is a storage medium used as main memory. RAM3 can also be used as a temporary storage area for data used in processing by the control device 30.

[0057] The communication device 4 is a device configured to perform wired or wireless communication. The communication device 4 includes, for example, a receiving unit that receives data from the outside and a transmitting unit that transmits data (signals) to the outside. The receiving unit is capable of receiving data (signals) from each of the lithium-ion battery sets 10a, 10b and the diesel fuel set 20. The transmitting unit is capable of transmitting data (signals) to each of the lithium-ion battery sets 10a, 10b and the diesel fuel set 20.

[0058] Furthermore, some or all of the communication unit 31, processing unit 33, and storage unit 32 shown in Figure 1 are implemented by having the CPU 1 execute a predetermined program, that is, by software. This program may be stored and distributed on a computer-readable storage medium, or it may be downloaded to the control device 30 via a network. Furthermore, some or all of the communication unit 31, processing unit 33, and storage unit 32 may be implemented by dedicated hardware, or by a combination of software and hardware.

[0059] Figure 3 shows an example of the configuration of lithium-ion battery set 10a. Note that lithium-ion battery set 10b has the same configuration as lithium-ion battery set 10a.

[0060] As described above, the lithium-ion battery set 10a includes a lithium-ion battery 11a, a sensor 12a, a control unit 13a, and a communication unit 14a.

[0061] The lithium-ion battery 11a has a case 15, a negative electrode terminal 16a, and a positive electrode terminal 16b. The case 15 houses, for example, an electrolyte, two electrodes immersed in the electrolyte, and a separator provided between the two electrodes. One of the two electrodes is connected to the negative electrode terminal 16a, and the other is connected to the positive electrode terminal 16b.

[0062] A busbar 17a is connected to the negative terminal 16a. Similarly, a busbar 17b is connected to the positive terminal 16b. Busbars 17a and 17b are components used to form a so-called battery pack, and are used to electrically connect the lithium-ion battery 11a to other lithium-ion batteries or a circuit board.

[0063] A circuit board 18 is connected to busbars 17a and 17b. The circuit board 18 houses the aforementioned sensor 12a, control unit 13a, and communication unit 14a, etc. The sensor 12a can measure the temperature of the lithium-ion battery 11a by using, for example, a thermistor 19 provided on the circuit board 18.

[0064] As described above, the control device 30 according to the first embodiment acquires the temperature and quantity of lithium-ion batteries 11a and 11b (first type of object) whose temperature is controlled, and acquires the quantity of diesel fuel 21 (second type of object) whose temperature is not controlled. The control device 30 then determines the overall risk level of the lithium-ion batteries 11a and 11b and the diesel fuel 21 based on the temperature and quantity of the lithium-ion batteries 11a and 11b and the quantity of diesel fuel 21.

[0065] The control device 30 can determine the overall risk level of multiple types of objects. This allows for efficient risk management and maintenance of the safety of each object, even when multiple types of objects are installed in the same location.

[0066] Furthermore, according to the control device 30, the risk level d is second thresholded th2 If the level rises above the first threshold d, an alert will be issued to the administrator. This will allow the administrator to know when the risk level reaches the first threshold d. th1 Before exceeding this limit (i.e., before control is performed on each object 11a, 11b, and 21), measures such as reviewing the arrangement of the lithium-ion batteries 11a, 11b and the diesel fuel 21 can be taken.

[0067] Furthermore, the control unit 44 of the control device 30 calculates the amount c of each object from the risk calculation unit 43. tmp_k , c ntmpThe quantity c of each object obtained is acquired. tmp_k , c ntmp Alternatively, the designated quantity multiplier may be calculated for each object based on the designated quantity stipulated by the Fire Service Act and displayed on a non-illustrated display. The designated quantity multiplier is a value that indicates how many times the quantity of the object is compared to the designated quantity. This allows, for example, a manager to monitor whether the designated quantity multiplier exceeds the value stipulated by the Fire Service Act (for example, 1).

[0068] Furthermore, the control device 30 may output an alarm command to the alarm device 34 if the calculated specified quantity multiplier is likely to exceed the value stipulated by the Fire Service Act, or if it has already exceeded that value.

[0069] Furthermore, the control device 30 may transmit a control command to the object set to stop the object in operation if the risk level d exceeds a third threshold greater than the first threshold.

[0070] (First variation) Next, a modified example of the first embodiment (hereinafter referred to as the first modification) will be described. Figure 4 is a block diagram showing an example of the configuration of the control device 30 according to the first modified example. Note that the same reference numerals are used for components similar to those in the first embodiment described above, and detailed explanations are omitted.

[0071] The control device 30 according to the first modified example differs from the first embodiment described above in that it can directly control the lithium-ion batteries 11a and 11b. That is, the lithium-ion battery 11a can be directly controlled by control commands from the control device 30 without going through the control unit 13a. Similarly, the lithium-ion battery 11b can be directly controlled by control commands from the control device 30.

[0072] Furthermore, this modification differs from the first embodiment described above in that the database 51 of the control device 30 has information on the amount of diesel fuel 21 stored in advance. As described above, since diesel fuel 21 is a means of generating power in case of a malfunction in the lithium-ion batteries 11a and 11b, its consumption is small and fluctuations in amount are rare. For this reason, the amount of diesel fuel 21 is periodically entered into the database 51 by, for example, an administrator via an input interface not shown. In other words, in the first modification, the sensor 22, control unit 23, and communication unit 24 are not necessary, and only the diesel fuel 21 itself is required.

[0073] Furthermore, the processing unit 33 of the control device 30 does not have a type determination unit 41. This is because all information received by the communication unit 31 is of type 1 (lithium-ion batteries 11a, 11b).

[0074] The following describes an example of the processing of the processing unit 33 according to the first modified example. The temperature determination unit 42 of the processing unit 33 determines the temperature t included in the sensor value output by the communication unit 31. in The value t is converted by the above equation (1). out It converts to t. Then, the temperature determination unit 42 determines the converted value t out The amount of lithium-ion batteries 11a and 11b included in the sensor value is output to the risk calculation unit 43.

[0075] The risk calculation unit 43 uses the converted value t output by the temperature determination unit 42. out and the amount c of lithium-ion batteries 11a and 11b tmp_k And the amount of diesel fuel 21 stored in database 51 c ntmp Based on this, the risk level d is calculated using the above-mentioned equation (2). The risk level calculation unit 43 outputs the risk level d to the control unit 44.

[0076] The control unit 44 transmits control commands to the lithium-ion battery sets 10a and 10b based on the risk level d. The conditions for transmitting the control commands are the same as those in the first embodiment described above.

[0077] Here, it is exemplified that only the amount c of light oil 21 is stored in the database 51. However, information regarding the amount c of the lithium-ion battery may be further stored in the database 51. In this case, the sensor values transmitted from each of the lithium-ion battery sets 10a and 10b do not include information regarding the amount of the lithium-ion batteries 11a and 11b. Further, the risk level calculation unit 43 calculates the risk level d based on the amount c of the lithium-ion batteries 11a and 11b and the amount c of the light oil 21 stored in the database 51. ntmp As described above, since the control device 30 directly controls the lithium-ion batteries 11a and 11b by a control command, the lithium-ion battery sets 10a and 10b do not need to include the control units 13a and 13b. Therefore, the configurations of the lithium-ion battery sets 10a and 10b can be simplified. tmp Further, by previously storing the amounts of the lithium-ion batteries 11a and 11b and the light oil 21 in the database 51, for the lithium-ion battery sets 10a and 10b, it is only necessary to transmit temperature information to the control device 30, and the data volume of the transmitted data can be reduced. Further, for the light oil set 20, since it is not necessary to include the sensor 22 and the communication unit 24, the configuration of the light oil set 20 can be simplified. tmp_k (Second Embodiment) ntmp Next, the second embodiment will be described.

[0078] FIG. 5 is a block diagram showing a configuration example of the control device 30 according to the second embodiment. Note that the same reference numerals are given to the same configurations and processes as those in the above-described embodiment, and detailed descriptions thereof are omitted. [[ID= 14]]

[0079] The processing of the temperature determination unit 42 and the risk level calculation unit 43 in the control device 30 according to the second embodiment is different from that in the first embodiment described above.

[0080] (Second Embodiment) Next, the second embodiment will be described. FIG. 5 is a block diagram showing a configuration example of the control device 30 according to the second embodiment. Note that the same reference numerals are given to the same configurations and processes as those in the above-described embodiment, and detailed descriptions thereof are omitted. [[ID= 25]]

[0081] In the control device 30 according to the second embodiment, the processing of the temperature determination unit 42 and the risk level calculation unit 43 is different from that in the first embodiment described above.

[0082] The temperature determination unit 42 determines whether the temperature t of the lithium-ion batteries 11a and 11b output by the type determination unit 41 in is within a predetermined first temperature range R. The minimum value of the first temperature range is the temperature t L , and the maximum value t of the first temperature range H Then, the first temperature range R is shown as in FIG. 6, for example.

[0083] When the temperature t of a certain lithium-ion battery in is within the first temperature range R (temperature t L ≤ temperature t in ≤ temperature t H ), the amount of the lithium-ion battery is output to the risk calculation unit 43 together with the temperature information indicating that the temperature t of the lithium-ion battery is within the first temperature range R. in

[0084] On the other hand, when the temperature t of a certain lithium-ion battery in is outside the first temperature range R (temperature t in < temperature t L , or temperature t H < temperature t in ), the amount of the lithium-ion battery is output to the risk calculation unit 43 together with the temperature information indicating that the temperature t of the lithium-ion battery is outside the first temperature range R. in

[0085] Hereinafter, it will be described assuming that the temperature t of the lithium-ion battery 11a in is within the first temperature range R and the temperature t of the lithium-ion battery 11b in is outside the first temperature range R.

[0086] The risk calculation unit 43 obtains the risk based on the amounts of the lithium-ion batteries 11a and 11b output by the temperature determination unit 42 and the amount of the light oil 21 output by the type determination unit 41. At this time, the amount of the lithium-ion battery 11a is c tmp_1 , the amount of the lithium-ion battery 11b is c tmp_2 , and the amount of the light oil 21 is c ntmpIn that case, the risk level d can be calculated, for example, using the following formula (3). d=α in ×c tmp_1 +α ex ×c tmp_2 +α ntmp ×c ntmp Formula (3)

[0087] α in , α ex , and α ntmp α is a predetermined constant. ex is, α in (α) is a value greater than in <α ex ). Also, α ex is, α ntmp (α) is a value greater than ntmp <α ex ).

[0088] In other words, the first term of equation (3) is the amount c of the lithium-ion battery 11a. tmp_1 to, temperature t in The constant α is used when the temperature is within the first temperature range R. in This is a weighted value. The second term of equation (3) is the amount c of the lithium-ion battery 11b. tmp_2 to, temperature t in The constant α is used when the temperature is outside the first temperature range R. ex This is a weighted value. The third term of equation (3) is the amount of diesel fuel 21 c. ntmp The constant α ntmp These are weighted values.

[0089] For example, if both lithium-ion batteries 11a and 11b are outside the first temperature range R, then the first term of equation (3) is "α ex ×c tmp_1 This is replaced with . Specifically, the risk level d is calculated by the following formula (4). d=α ex ×c tmp_1 +α ex ×c tmp_2 +α ntmp ×c ntmp Formula (4)

[0090] Furthermore, for example, if both lithium-ion batteries 11a and 11b are within the first temperature range R, then the second term of equation (3) is "α in ×c tmp_2 This is replaced with . Specifically, the risk level d is calculated by the following formula (5). d=α in ×c tmp_1 +α in ×c tmp_2 +α ntmp ×c ntmp Formula (5)

[0091] In other words, the risk calculation unit 43 calculates the amount of lithium-ion battery within the first temperature range R using a constant α. in Weights are assigned to the amount of lithium-ion batteries outside the first temperature range R, and a constant α is applied to the amount of lithium-ion batteries outside the first temperature range R. in A value greater than α ex The risk level d is calculated by weighting it accordingly. The risk level calculation unit 43 also calculates the amount c of diesel fuel 21. ntmp Rather, for the amount of lithium-ion battery outside the first temperature range R, the constant α ntmp A constant α that is larger than α ex We then apply weights to calculate the risk level d.

[0092] In other words, the risk level d increases as the amount of lithium-ion batteries with temperatures outside the first temperature range R increases.

[0093] In this example, we have used the case of two lithium-ion batteries 11a and 11b, but if the control device 30 is managing the risk level of three or more lithium-ion batteries, a constant α will be applied according to the temperature of the lithium-ion batteries. in or α ex The weighted amount of lithium battery is added to equation (3), equation (4), or equation (5).

[0094] The risk calculation unit 43 calculates the risk level d and the amount c of the lithium-ion battery 11a. tmp_1 and temperature information, and the amount of lithium-ion battery 11b c tmp_2 and temperature information, and the amount of diesel fuel 21 c ntmp The output is sent to the control unit 44.

[0095] When the risk level d is output from the risk level calculation unit 43, the control unit 44 calculates the risk level d and the first threshold value d stored in the threshold value storage unit 52. th1 Compare the following. Risk level d is the first threshold d th1 If the following conditions are met, the control unit 44 generates a control command instructing each object to maintain its current state.

[0096] On the other hand, the risk level d is the first threshold d th1 If it exceeds (risk level d > first threshold d) th1 ), the control unit 44 controls the amount of the lithium-ion battery 11a c tmp_1 and temperature information, and the amount of lithium-ion battery 11b c tmp_2 Based on the temperature information, control commands are generated for each object.

[0097] The following describes a specific example of the processing of the control unit 44 of the control device 30 according to the second embodiment. Here, for example, we assume that lithium-ion batteries 11a and 11b are operating and the diesel fuel 21 is stopped.

[0098] The control unit 44 determines, based on temperature information, whether the temperatures of lithium-ion batteries 11a and 11b are within the first temperature range R. Three examples will be described below: the case where the temperatures of both lithium-ion batteries 11a and 11b are outside the first temperature range R (first example), the case where the temperature of one of the lithium-ion batteries 11a or 11b is outside the first temperature range R (second example), and the case where the temperatures of both lithium-ion batteries 11a and 11b are within the first temperature range R (third example).

[0099] First, we will explain the case where the temperature of both lithium-ion battery 11a and lithium-ion battery 11b is outside the first temperature range R (first example). In this case, the control unit 44 controls the amount c of lithium-ion battery 11a. tmp_1 and the amount of lithium-ion battery 11b c tmp_2By comparing the two, a control command is generated to limit the operation of the lithium-ion battery with the larger quantity.

[0100] For example, the amount c of lithium-ion battery 11a tmp_1 The amount of lithium-ion battery 11b c tmp_2 If it is more than (amount c) tmp_1 >Quantity c tmp_2 ), the control unit 44 generates a control command to restrict the operation of the lithium-ion battery 11a. At this time, the control unit 44 generates a control command so that the temperature of the lithium-ion battery 11a, which is outside the first temperature range R, comes within the first temperature range R. That is, when the risk level d is calculated by the risk level calculation unit 43, the control unit 44 controls the amount c of the lithium-ion battery 11a. tmp_1 The constant that is multiplied is the constant α ex From the constant α in Generate a control command that restricts the operation so that it is changed to [this].

[0101] In other words, the degree of risk d after controlling the lithium-ion battery 11a according to the generated control command, and the first threshold d th1 Control commands are generated such that the relationship satisfies the following relation (6). (d=α in ×c tmp_1 +α ex ×c tmp_2 +α ntmp ×c ntmp )≦d th1 Formula (6)

[0102] Next, we will describe the case where the temperature of one of the lithium-ion batteries 11a and 11b is outside the first temperature range R (second example). In this case, the control unit 44 generates a control command to restrict the operation of the lithium-ion battery that is outside the first temperature range R.

[0103] For example, as described above, a control command is sent to the lithium-ion battery 11a, and even though the temperature of the lithium-ion battery 11a falls within the first temperature range R, the risk level d is not within the first threshold dth1 If it is greater than (i.e., α in ×c tmp_1 +α ex ×c tmp_2 +α ntmp ×c ntmp >d th1 ) is assumed.

[0104] In this case, the control unit 44 generates a control command to restrict the operation of the lithium-ion battery 11b, which is outside the first temperature range R. At this time, the control unit 44 generates a control command so that the temperature of the lithium-ion battery 11b, which is outside the first temperature range R, becomes within the first temperature range R. That is, when the risk level d is calculated by the risk level calculation unit 43, the control unit 44 controls the amount c of the lithium-ion battery 11b. tmp_2 The constant multiplied by is the constant α ex From the constant α in Generate a control command that restricts the operation so that it is changed to [this].

[0105] In other words, the degree of risk d after controlling the lithium-ion battery 11b according to the generated control command, and the first threshold d th1 The control command is generated such that it satisfies the following relation (7) when compared with the given command. (d=α in ×c tmp_1 +α in ×c tmp_2 +α ntmp ×c ntmp )≦d th1 Formula (7)

[0106] Next, we will describe the case where the temperatures of both lithium-ion batteries 11a and 11b are within the first temperature range R (third example). Despite the temperatures of both lithium-ion batteries 11a and 11b being within the first temperature range R, the risk level d is within the first threshold d th1 Larger than (i.e., α in ×c tmp_1 +α in ×c tmp_2 +α ntmp ×c ntmp >d th1This means that the risk level d is high regardless of the temperature of lithium-ion batteries 11a and 11b.

[0107] Leaving the lithium-ion batteries 11a, 11b, and diesel fuel 21 in the same location while the risk level d remains high is highly likely to violate the requirements of the Fire Service Act. Therefore, the control unit 44 outputs an alarm command to the alarm device 34 and instructs the administrator to review the placement of the lithium-ion batteries 11a, 11b, and diesel fuel 21. In response to the alarm, the administrator will take measures such as reinstalling or removing the lithium-ion batteries 11a, 11b, and diesel fuel 21 in different locations, thereby ensuring the safety of the lithium-ion batteries 11a, 11b, and diesel fuel 21.

[0108] The control unit 44 may also generate a control command to stop the operation of both lithium-ion batteries 11a and 11b and to operate the diesel fuel 21. This will control the amount of diesel fuel 21 c ntmp As this reduces the amount of diesel fuel used, the risk level d can be lowered. However, if the amount of diesel fuel 21 runs out, power generation may stop. For this reason, once the temperature of the lithium-ion batteries 11a and 11b has dropped sufficiently, the operation of the diesel fuel 21 may be stopped and the lithium-ion batteries 11a and 11b may be restarted.

[0109] As described above, the control device 30 according to the second embodiment determines the degree of danger such that the greater the quantity of lithium-ion batteries 11a and 11b (objects of the first type) having temperatures outside the first temperature range R, the higher the degree of danger. Specifically, when calculating the degree of danger, the control device 30 uses two types of constants (α) depending on whether the temperature of the lithium-ion batteries 11a and 11b is within the first temperature range R or not. in , α ex The risk level is calculated using ).

[0110] According to the control device 30 of the second embodiment, a simple indicator is used, which is whether or not the temperature of the lithium-ion batteries 11a and 11b is within the first temperature range R. n The absolute difference (converted value t)out There is no need to calculate (). Therefore, the control device 30 according to the second embodiment can determine the degree of risk more easily than the first embodiment.

[0111] Furthermore, by giving greater weight to the amount of lithium-ion batteries outside the first temperature range R, the hazard levels of multiple types of objects can be calculated comprehensively (taking into account lithium-ion batteries, which are hazardous materials within the first temperature range R, and the amount of diesel fuel 21, whose hazard level is not dependent on temperature).

[0112] Furthermore, the control device 30 determines the risk level when it reaches the first threshold d th1 When the temperature exceeds a certain threshold, the system determines which lithium-ion batteries 11a and 11b to control based on whether their temperatures are outside the first temperature range R. For example, if the temperature of one of the lithium-ion batteries 11a or 11b is outside the first temperature range R, the lithium-ion battery outside that range is controlled. If the temperatures of both lithium-ion batteries 11a and 11b are outside the first temperature range R, the lithium-ion battery with the larger quantity is controlled.

[0113] As described above, the risk level d increases as the amount of lithium-ion batteries outside the first temperature range R increases. Therefore, the risk level d can be efficiently reduced by controlling the temperature of lithium-ion batteries that are outside the first temperature range R, or the temperature of lithium-ion batteries in large quantities, so that they fall within the first temperature range R. With this configuration, the control device 30 can maintain safety by simultaneously managing the amount and temperature of lithium-ion batteries 11a and 11b and the amount of diesel fuel 21.

[0114] Here, we used two types of constants depending on whether the temperature is within the first temperature range R or not. For example, as shown in Figure 6, the temperature is the minimum value t of the first temperature range R. L A constant for weighting the amount of lithium-ion batteries that are less than the range RL, a constant for weighting the amount of lithium-ion batteries that are within the first temperature range R, and the maximum value t of the temperature within the first temperature range R.H It may be calculated using three types of constants including a constant for weighting with respect to the amount of the lithium ion battery within a larger range RH. Even in this case, the control device 30 can obtain the risk level more simply than calculating the conversion value t out can.

[0115] (Third Embodiment) Next, the third embodiment will be described. FIG. 7 is a block diagram showing a configuration example of the control device 30 according to the third embodiment. Note that the same reference numerals are given to the same configurations and processes as those in the above-described embodiments, and detailed descriptions thereof are omitted.

[0116] The control device 30 according to the third embodiment is different from the first and second embodiments described above in that when the risk level d exceeds the first threshold value d th1 , the backup lithium ion batteries 11c and 11d are used.

[0117] The control device 30 according to the third embodiment can communicate with the backup lithium ion batteries 11c and 11d in addition to the lithium ion batteries 11a and 11b and the light oil 21. In the following description, it is assumed that the lithium ion batteries 11a and 11b are in operation (charging and discharging), and the lithium ion batteries 11c and 11d and the light oil 21 are stopped.

[0118] The lithium ion battery 11c is connected to the sensor 12c and the control unit 13c, and the control unit 13c is connected to the sensor 12c and the communication unit 14c. Hereinafter, the lithium ion battery 11c, the sensor 12c, the control unit 13c, and the communication unit 14c are collectively referred to as the lithium ion battery set 10c.

[0119] The lithium ion battery 11d is connected to the sensor 12d and the control unit 13d, and the control unit 13d is connected to the communication unit 14d. Hereinafter, the lithium ion battery 11d, the sensor 12d, the control unit 13d, and the communication unit 14d are collectively referred to as the lithium ion battery set 10d.

[0120] The configuration of the control device 30 according to the third embodiment is the same as that of the second embodiment described above. The risk calculation unit 43 obtains the risk level d based on the temperatures and amounts of the lithium-ion batteries 11a, 11b, 11c, and 11d and the amount of the light oil set 21. The method for obtaining the risk level d is the same as that of the second embodiment.

[0121] Based on the risk level d output by the risk calculation unit 43, the control unit 44 generates control commands for each object 11a, 11b, 11c, 11d, and 21. Specifically, when the risk level d exceeds the first threshold d th1 (risk level d > first threshold d th1 ), a control command is generated to control the operation so that the risk level d becomes lower.

[0122] At this time, the control unit 44 stops the operation of the lithium-ion batteries outside the first temperature range R among the operating lithium-ion batteries 11a and 11b, and instead generates a control command to use the backup lithium-ion batteries 11c and 11d within the first temperature range R or the light oil 21.

[0123] For example, when the risk level d exceeds the first threshold d th1 and the temperatures of both lithium-ion batteries 11a and 11b are outside the first temperature range R, the control unit 44 confirms based on the temperature information output from the risk calculation unit 43 that the temperatures of the backup lithium-ion batteries 11c and 11d are within the first temperature range R.

[0124] When the temperatures of the lithium-ion batteries 11c and 11d are within the first temperature range R, the control unit 44 sends a control command to operate the lithium-ion batteries 11c and 11d to the lithium-ion battery sets 10c and 10d.

[0125] The control unit 44 confirms the operation of lithium-ion batteries 11c and 11d, for example, by receiving a notification from lithium-ion battery sets 10c and 10d indicating that lithium-ion batteries 11c and 11d have been activated. Subsequently, the control unit 44 transmits control commands to lithium-ion battery sets 10a and 10b to restrict the operation of lithium-ion batteries 11a and 11b.

[0126] The control unit 44 may also confirm that the operation of lithium-ion batteries 11a and 11b has been restricted by receiving a notification from the lithium-ion battery sets 10a and 10b indicating that the operation of lithium-ion batteries 11a and 11b has been stopped. In this case, if it is not possible to confirm that the operation of lithium-ion batteries 11a and 11b has been restricted, the control unit 44 may resend a control command to restrict the operation of lithium-ion batteries 11a and 11b.

[0127] Furthermore, the control unit 44 determines that the risk level d is the first threshold d th1 When the temperature exceeds a certain limit, if either lithium-ion battery 11a or 11b is outside the first temperature range R, the operation of the lithium-ion battery having a temperature outside the first temperature range R is stopped, and the backup lithium-ion battery 11c or 11d whose temperature is within the first temperature range R is activated.

[0128] Furthermore, as another example, instead of lithium-ion batteries 11c and 11d, diesel fuel 21 may be used as a substitute for the operating lithium-ion batteries 11a and 11b.

[0129] Specifically, for example, if the risk level d is the first threshold d th1 If both lithium-ion batteries 11a and 11b are outside the first temperature range R when the temperature exceeds the limit, the control unit 44 sends a control command to the diesel fuel set 20 to activate the diesel fuel 21.

[0130] The control unit 44 confirms that the diesel fuel 21 has been activated, for example, by receiving a notification from the diesel fuel set 20 indicating that the diesel fuel 21 has been activated. Subsequently, the control unit 44 sends control commands to the lithium-ion battery sets 10a and 10b to restrict the operation of the lithium-ion batteries 11a and 11b.

[0131] Furthermore, the control unit 44 determines when the risk level d is the first threshold d th1 When the temperature exceeds the limit, if both lithium-ion batteries 11a and 11b are outside the first temperature range R, and the temperatures of the backup lithium-ion batteries 11c and 11d are also outside the first temperature range R, then a configuration using diesel fuel 21 may be used.

[0132] As described above, the control device 30 according to the third embodiment is such that the risk level d is a first threshold d th1 If the temperature exceeds the specified limit, the operation of lithium-ion batteries outside the first temperature range R is restricted (controlled), and backup lithium-ion batteries 11c, 11d (first type of object), or diesel fuel 21 (second type of object) are activated when their temperature is within the first temperature range R.

[0133] In other words, the use of lithium-ion batteries with a high risk (outside the first temperature range R) is discontinued, and instead, lithium-ion batteries with a low risk (within the first temperature range R) or diesel fuel 21 whose risk is not dependent on temperature are used.

[0134] At this time, the control device 30 confirms that the backup lithium-ion batteries 11c, 11d, or diesel fuel 21, which replace the lithium-ion batteries outside the first temperature range R, have started operating, and then shuts down the lithium-ion batteries outside the first temperature range R.

[0135] According to the third embodiment, it is possible to manage the risk level d while stably maintaining the function of the uninterruptible power supply device (power supply to a server or the like) using the lithium-ion batteries 11a, 11b, 11c, 11d and the light oil 21. That is, according to the third embodiment, it is possible to stably supply power to a server or the like as an uninterruptible power supply device while maintaining the safety of each object.

[0136] (Fourth Embodiment) Next, the fourth embodiment will be described. In the fourth embodiment, even for objects of the same type, it is different from the second to third embodiments described above in that different temperature ranges are used as a reference for each object.

[0137] Since the configuration of the control device 30 according to the fourth embodiment is the same as that of the third embodiment described above, the description thereof will be omitted here.

[0138] FIG. 8 is a diagram for explaining the processing of the temperature determination unit 42 of the control device according to the fourth embodiment.

[0139] <**********>For the temperature of a certain lithium-ion battery (object of the first type), the temperature determination unit 42 determines whether it is within the first temperature range R1 from the temperature t AL to the temperature t AH On the other hand, for the temperature of other lithium-ion batteries, the temperature determination unit 42 determines whether it is within the second temperature range R2 from the temperature t EL to the temperature t EH until.

[0140] In the following description, determining whether the temperature of a certain lithium-ion battery is within the first temperature range R1 is expressed as applying the first temperature range R1 to the lithium-ion battery. Also, determining whether the temperature of other lithium-ion batteries is within the second temperature range R2 is expressed as applying the second temperature range R2 to the lithium-ion battery.

[0141] The temperature range applicable to each lithium-ion battery 11a to 11d may differ depending on the type of lithium-ion battery, the usage state of the lithium-ion battery (operating / stopped, etc.), or the quantity of the lithium-ion battery. The temperature range applicable to each lithium-ion battery 11a to 11d is stored in the database 51, for example, linked to the object ID of each lithium-ion battery 11a to 11d.

[0142] In this example, the temperature ranges applicable to each lithium-ion battery 11a to 11d are described as being selected from two types of temperature ranges, the first temperature range R1 and the second temperature range R2. However, it is also possible to select from three or more temperature ranges.

[0143] In this explanation, the temperature determination unit 42 is described as applying a first temperature range R1 to lithium-ion batteries 11a and 11b. Furthermore, the temperature determination unit 42 is described as applying a second temperature range R2 to lithium-ion batteries 11c and 11d.

[0144] Hereinafter, a specific example of the processing of the control device 30 according to the fourth embodiment will be described with further reference to Figure 7.

[0145] When the type determination unit 41 outputs the object ID and sensor value, the temperature determination unit 42 refers to the database 51 and selects a temperature range to apply to the lithium-ion battery indicated by the object ID. The temperature determination unit 42 determines whether the temperature of the lithium-ion battery is within the temperature range applicable to the object ID. The temperature determination unit 42 outputs temperature information including the determination result, the amount included in the sensor value, and the temperature range applied to the lithium-ion battery to the risk calculation unit 43.

[0146] The risk calculation unit 43 calculates the risk level d using the following formula (8) based on the temperature information, quantity, and temperature range information output by the temperature determination unit 42. d=α inA ×c inA +α exA ×cexA +α inE ×c inE +α exE ×c exE +α ntmp ×c ntmp Formula (8)

[0147] α inA , α exA , α inE , α exE , α ntmp α is a predetermined value (constant). exA is the constant α inA (α) is a value greater than inA <α exA ). Constant α exE is the constant α inE (α) is a value greater than inE <α exE ). Constant α exA is the constant α ntmp (α) is a value greater than ntmp <α exA ). Constant α exE is the constant α ntmp (α) is a value greater than ntmp <α exE ).

[0148] c inA This represents the total amount of lithium-ion batteries to which the first temperature range R1 was applied that were within the first temperature range R1. For example, if the temperatures of both lithium-ion batteries 11a and 11b were within the first temperature range R1, then c inA This is the sum of the amount of lithium-ion battery 11a and the amount of lithium-ion battery 11b.

[0149] c exA This represents the total amount of lithium-ion batteries that were outside the first temperature range R1 among the lithium-ion batteries to which the first temperature range R1 was applied. For example, if the temperatures of both lithium-ion batteries 11a and 11b were outside the first temperature range R1, then c exA This is the sum of the amount of lithium-ion battery 11a and the amount of lithium-ion battery 11b.

[0150] cinE This represents the total amount of lithium-ion batteries to which the second temperature range R2 was applied that were within the second temperature range R2. For example, if the temperatures of both lithium-ion batteries 11c and 11d were within the second temperature range R2, then c inE This is the sum of the amount of lithium-ion battery 11c and the amount of lithium-ion battery 11d.

[0151] c exE This represents the total amount of lithium-ion batteries that were outside the second temperature range R2 among the lithium-ion batteries to which the second temperature range R2 was applied. For example, if the temperatures of both lithium-ion batteries 11c and 11d were outside the second temperature range R2, then c exE This is the sum of the amount of lithium-ion battery 11c and the amount of lithium-ion battery 11d.

[0152] In other words, the first and second terms of equation (8) are calculated by giving greater weight to the amount of lithium-ion batteries outside the first temperature range R1 than to the amount of lithium-ion batteries within the first temperature range R1, for lithium-ion batteries to which the first temperature range R1 is applied.

[0153] In other words, according to equation (8), the risk level d is higher when the temperature of a lithium-ion battery to which the first temperature range R1 is applied is outside the first temperature range R1 than when the temperature is within the first temperature range R1.

[0154] Furthermore, terms 3 and 4 of equation (8) are calculated by giving greater weight to the amount of lithium-ion batteries outside the second temperature range R2 than to the amount of lithium-ion batteries within the second temperature range R2, for lithium-ion batteries to which the second temperature range R2 is applied.

[0155] In other words, according to equation (8), the risk level d is higher when the temperature of a lithium-ion battery to which the second temperature range R2 is applied is outside the second temperature range R2 than when the temperature is within the second temperature range R2.

[0156] Furthermore, the first temperature range R1 is applied to a typical lithium-ion battery using graphite as the negative electrode material, and the SCiB uses lithium titanate as the negative electrode material. TM A second temperature range R2 may be applied to this.

[0157] Furthermore, Class 1 hazardous materials are not limited to lithium-ion batteries; other hazardous materials such as lead-acid batteries may also be included.

[0158] For example, the first temperature range R1 may be applied to lithium-ion batteries, and the second temperature range R2 to lead-acid batteries. In this case, the parts previously explained for lithium-ion batteries will be replaced with those for lead-acid batteries.

[0159] As described above, according to the control device 30 of the fourth embodiment, for objects of a type that requires temperature control (Type 1 objects), the degree of danger is determined using different temperature ranges for each object. This makes it possible to apply a temperature range suitable for each of the objects whose temperature is controlled (Type 1 objects), thus enabling the collective management of various Type 1 objects.

[0160] (Fifth embodiment) Next, a fifth embodiment will be described. Figure 9 is a block diagram showing an example configuration of the control device 30 according to the fifth embodiment. Note that components and processes similar to those in the above-described embodiments are denoted by the same reference numerals, and their detailed descriptions are omitted.

[0161] The control device 30 according to the fifth embodiment differs from the first to fourth embodiments described above in that it manages the degree of danger of objects installed in multiple areas (locations) for each of those multiple areas. In the example in Figure 9, only the first area A and the second area B are shown, but the control device 30 may manage the degree of danger of objects installed in three or more areas.

[0162] Area 1A is a designated area where one or more objects are installed. In the example in Figure 9, Area 1A has multiple lithium-ion battery sets 10a to 10d and one diesel fuel set 20a installed. Area 1A is, for example, a "same location" under the Fire Service Act. Note that lithium-ion batteries 11a and 11b in Area 1A are operating, while the other lithium-ion batteries 11c and 11d and the diesel fuel 21a are stopped as backups.

[0163] Area 2B is a designated area distinct from Area 1A, and contains one or more objects. In the example in Figure 9, Area 2B contains multiple lithium-ion battery sets 10e-10h and one diesel fuel set 20b. Area 2B is, for example, the "same location" under the Fire Service Act. It is assumed that lithium-ion batteries 11e and 11f in Area 2B are operational, while the other lithium-ion batteries 11g and 11h, and the diesel fuel 21b are shut down as backups.

[0164] Area 1A and Area 2B may be rooms separated by fire doors or non-combustible materials, areas located within different buildings, or different fire compartments. The lithium-ion battery sets 10a to 10h and diesel fuel sets 20a and 20b installed in Area 1A and Area 2B are used, for example, in an uninterruptible power supply to power a common system (such as a server).

[0165] The lithium-ion battery set 10e, like the lithium-ion battery set 10a described above, includes a lithium-ion battery 11e, a sensor 12e, a control unit 13e, and a communication unit 14e.

[0166] Similarly, the lithium-ion battery sets 10f, 10g, and 10h each include lithium-ion batteries 11f, 11g, and 11h, sensors 12f, 12g, and 12h, control units 13f, 13g, and 13h, and communication units 14f, 14g, and 14h, respectively.

[0167] Furthermore, each diesel fuel set 20a and 20b, like the diesel fuel set 20 described above, includes diesel fuel 21a and 21b, sensors 22a and 22b, control units 23a and 23b, and communication units 24a and 24b, respectively.

[0168] The control device 30 according to the fifth embodiment further includes an area determination unit 45. The control device 30 also includes a type determination unit 41a, a temperature determination unit 42a, and a risk calculation unit 43a corresponding to the first area A, and a type determination unit 41b, a temperature determination unit 42b, and a risk calculation unit 43b corresponding to the second area B.

[0169] Furthermore, the database 51 stored in the memory unit 32 stores object IDs assigned to each of the lithium-ion batteries 11a to 11h and the diesel fuels 21a and 21b, as well as area IDs assigned to each of the first and second areas. In addition, each object ID is stored in association with the area ID of the area where the object indicated by that object ID is located.

[0170] When the area determination unit 45 receives the object ID and sensor value from the communication unit 31, it refers to the database 51 and determines whether the object indicated by the object ID is installed in the first area A or the second area B. The area determination unit 45 then outputs the object ID and sensor value of the object installed in the first area A to the type determination unit 41a corresponding to the first area A. Similarly, the area determination unit 45 outputs the object ID and sensor value of the object installed in the second area B to the type determination unit 41b corresponding to the second area B.

[0171] The type determination unit 41a and temperature determination unit 42a corresponding to the first area A perform the same processing as in the second embodiment described above based on the object ID and sensor value output by the area determination unit 45. The risk level calculation unit 43a determines the risk level d of the object installed in the first area A and outputs it to the control unit 44. Hereafter, the risk level d of the object installed in the first area A is determined as risk level d a This is how it is written.

[0172] The type determination unit 41b and temperature determination unit 42b corresponding to the second area B perform the same processing as in the second embodiment described above, based on the object ID and sensor value output by the area determination unit 45. The risk level calculation unit 43b determines the risk level d of the object installed in the second area B and outputs it to the control unit 44. Hereinafter, the risk level d of the object installed in the second area B is determined as risk level d b This is how it is written.

[0173] The control unit 44 receives the risk level d output from the risk level calculation unit 43a. a and the risk level d output from the risk level calculation unit 43b b Based on this, control commands are generated for each target object and transmitted via the communication unit 31 to the lithium-ion battery sets 10a to 10h and the diesel fuel sets 20a and 20b.

[0174] The following describes a specific example of the processing performed by the control unit 44 according to the fifth embodiment. The control unit 44 determines the risk level d a The first threshold value d stored in the threshold value storage unit 52 th1 Compare the following. In addition, the control unit 44 determines the risk level d b The first threshold value d stored in the threshold value storage unit 52 th1 The control unit 44 compares the following: a and risk level d b If any of the following risk levels are within the first threshold d th1 If it exceeds the first threshold d th1 In areas exceeding the threshold (high-risk areas), the operation of the lithium-ion battery in operation will be stopped, and the first threshold d th1 Activate the backup lithium-ion batteries in the following areas (low-risk areas).

[0175] Specifically, for example, risk level d a The first threshold d th1 It exceeds and the risk level is d b The first threshold d th1 Let's assume the following: For example, risk level d a and the first threshold d th1The relationship and the degree of risk d b and the first threshold d th1 Let the relationship between the two be given by the following equations (9) and (10). d a >d th1 Formula (9) d b ≤d th1 Formula (10)

[0176] In this case, the control unit 44 shuts down the lithium-ion batteries 11a and 11b in the first area A, which are at high risk, if their temperature is outside the first temperature range R, and activates the backup lithium-ion battery 11g or lithium-ion battery 11h located in the second area B, which is at low risk.

[0177] More specifically, if the temperatures of both lithium-ion batteries 11a and 11b are outside the first temperature range R, the control unit 44 confirms, based on the temperature information output from the risk calculation unit 43b, that the temperatures of the backup lithium-ion batteries 11g and 11h in the second area B are within the first temperature range R. If the temperatures of lithium-ion batteries 11g and 11h are within the first temperature range R, the control unit 44 sends control signals to the lithium-ion battery sets 10g and 10h to operate the lithium-ion batteries 11g and 11h.

[0178] The control unit 44 confirms the operation of lithium-ion batteries 11g and 11h, for example, by receiving a notification from lithium-ion battery sets 10g and 10h indicating that lithium-ion batteries 11g and 11h have been activated. Subsequently, the control unit 44 transmits control commands to lithium-ion battery sets 10a and 10b to restrict the operation of lithium-ion batteries 11a and 11b.

[0179] Note that here, the risk level d for Area 1A is... a The first threshold d th1 The example given concerns cases exceeding a certain threshold, but the risk level d for Area 2B is also mentioned. b The first threshold d th1The same applies if the limit is exceeded. In this case, the control unit 44 activates the backup lithium-ion batteries 11c and 11d installed in the first area A, and then shuts down the lithium-ion batteries 11e and 11f installed in the second area B.

[0180] Furthermore, in areas with a high degree of risk, if either lithium-ion battery 11a or 11b is outside the first temperature range R, the operation of the lithium-ion battery having a temperature outside the first temperature range R is stopped, and the backup lithium-ion batteries 11g and 11h installed in the second area B, whose temperature is within the first temperature range R, are activated.

[0181] Furthermore, the control unit 44 may activate diesel fuel 21a or diesel fuel 21b instead of the backup lithium-ion batteries 11c, 11d, 11g, and 11h as a substitute for the lithium-ion batteries in high-risk areas.

[0182] As described above, the control device 30 according to the fifth embodiment determines the level of risk for each area. Then, in areas with a high level of risk, it stops the operation of lithium-ion batteries having a temperature outside the first temperature range R and activates lithium-ion batteries in other areas (i.e., lithium-ion batteries located at a distance).

[0183] This allows for simultaneous management of risk levels in multiple areas in the fifth embodiment. Furthermore, it is possible to prevent the risk level in a specific area from increasing while maintaining power supply to the server as an uninterruptible power supply.

[0184] Furthermore, the control unit 44 of the control device 30 may calculate the specified quantity multiple for each area and display it on a display not shown. Specifically, the control unit 44 obtains the quantity of the object installed in the first area A from the risk calculation unit 43a and calculates the specified quantity multiple in the first area A based on the quantity of the object and the specified quantity stipulated by the Fire Service Act. Similarly, the control unit 44 obtains the quantity of the object installed in the second area B from the risk calculation unit 43b and calculates the specified quantity multiple in the second area B based on the quantity of the object and the specified quantity stipulated by the Fire Service Act. The control unit 44 displays the calculated specified quantity multiples for the first area A and the second area B on the display, respectively. This allows, for example, an administrator to monitor each area so that the specified quantity multiple does not exceed the value stipulated by the Fire Service Act (for example, 1).

[0185] Furthermore, the control unit 44 may output an alarm command to the alarm device 34 if there is a possibility that the specified quantity multiplier in either the first area A or the second area B will exceed the value stipulated by the Fire Service Act, or if it has already exceeded that value.

[0186] (Second variation) Next, a modified example of the fifth embodiment (hereinafter referred to as the second modified example) will be described. Figure 10 is a block diagram showing an example configuration of the control device 30 according to the second modified example. Note that components similar to those in the fifth embodiment described above are denoted by the same reference numerals, and detailed explanations are omitted.

[0187] The control device 30 according to the second modified example communicates with each object installed in the first area A via the communication device 60a installed in the first area A. The control device 30 also communicates with each object installed in the second area B via the communication device 60b installed in the second area B.

[0188] Communication between each communication unit 14a, 14b, 14c, 14d, and 24a in Area 1A and the communication device 60a is performed using any communication method. Examples of such communication methods include BLE, wireless LAN, and wired LAN.

[0189] For example, when each communication unit 14a, 14b, 14c, 14d, 24a communicates with the communication device 60a using BLE, each communication unit 14a, 14b, 14c, 14d, 24a may function as a BLE slave unit, and the communication device 60a may function as a BLE master unit with router functionality. When communicating via wireless LAN, each communication unit 14a, 14b, 14c, 14d, 24a may function as a wireless LAN station, and the communication device 60a may function as a wireless LAN access point with router functionality. When communicating via wired LAN, each communication unit 14a, 14b, 14c, 14d, 24a may function as an Ethernet terminal, and the communication device 60a may function as a hub with router functionality. In addition, each communication unit 14a, 14b, 14c, 14d, 24a and the communication device 60a may communicate using a combination of multiple communication standards.

[0190] Communication between the communication units 14e, 14f, 14g, 14h, and 24b in Area 2B and the communication device 60b is conducted using any communication method, similar to Area 1A. Examples of such communication methods include BLE, wireless LAN, and wired LAN.

[0191] Communication between each communication device 60a, 60b and the communication unit 31 of the control device 30 may be via wireless LAN, wired LAN, or any other wireless communication standard.

[0192] The control device 30 according to the second modified example differs from the fifth embodiment described above in that it determines whether the received sensor value belongs to an object installed in either the first area A or the second area B, based on whether the sensor value was transmitted via the communication device 60a or the communication device 60b, rather than referring to the database 51.

[0193] Specifically, the database 51 stored in the storage unit 32 of the control device 30 stores the identification information of the communication device 60a installed in the first area A, associating it with the area ID assigned to the first area A. It also stores the identification information of the communication device 60b installed in the second area B, associating it with the area ID of the second area B. The identification information is, for example, the IP addresses of the communication devices 60a and 60b.

[0194] The communication unit 31 outputs to the area determination unit 45 the object ID and sensor value, as well as the identification information of the communication device that transmitted the object ID and sensor value.

[0195] When the area determination unit 45 acquires the object ID, sensor value, and communication device identification information, it determines, based on the object ID and the identification information of the communication device that transmitted the sensor value, which area the sensor value belongs to.

[0196] For example, if the communication device 60a receives identification information along with the object ID and sensor value, it is determined that the sensor value belongs to an object installed in the first area A.

[0197] As described above, the control device 30 according to the second modified example determines which area the received sensor values ​​belong to based on the identification information of the communication device that transmitted the sensor values. This makes it possible to determine which area an object installed in is located in, for example, when an object installed in a predetermined area is moved to another area, without having to rewrite the database 51.

[0198] The control device 30 may determine the area of ​​each object by other means.

[0199] For example, the control units 13a to 13h, 23a, and 23b included in each object set may estimate their own position (relative position to the control device 30) based on the strength of the radio waves transmitted during wireless communication with the control device 30. In this case, each control unit 13a to 13h, 23a, and 23b transmits information indicating its own position to the control device 30 along with the object ID and sensor value. The area determination unit 45 of the control device 30 determines, based on the result of the self-position, whether the sensor value belongs to an object installed in the first area A or an object installed in the second area B.

[0200] As another example, the control units 13a-13h, 23a, and 23b included in each object set may estimate their own position (whether in the first or second area) based on the intensity of the radio waves received from the communication devices 60a and 60b.

[0201] As another example, each control unit 13a-13h, 23a, and 23b may be equipped with a GPS (Global Positioning System). In this case, each control unit 13a-13h, 23a, and 23b transmits the position estimation result obtained by the GPS to the control device 30 along with the object ID and sensor value. The area determination unit 45 of the control device 30 determines, based on the position estimation result obtained by the GPS, whether the sensor value belongs to an object installed in the first area A or an object installed in the second area B.

[0202] Furthermore, as another example, the communication unit 31 of the control device 30 may estimate the direction of arrival of a signal (radio wave) containing information on the object ID and sensor value. In this case, the communication unit 31 outputs information indicating the direction of arrival of the radio wave along with the received object ID and sensor value to the area determination unit 45. Based on whether the direction of arrival of the radio wave is towards the first area A or the second area B, the area determination unit 45 determines which area the sensor value belongs to.

[0203] According to either of the above methods, the control device 30 can determine which area the received sensor values ​​belong to, without relying on the database 51. This prevents errors in updating the database 51 and allows for a more accurate determination of the risk level in each area.

[0204] (Sixth Embodiment) Next, a sixth embodiment will be described. Figure 11 is a block diagram showing an example configuration of the control device 30 according to the sixth embodiment. Note that components and processes similar to those in the embodiments described above are denoted by the same reference numerals, and their detailed descriptions are omitted.

[0205] The control device 30 according to the sixth embodiment differs from the fifth embodiment described above in that it determines the degree of risk by taking into account sensor values ​​related to the environment of each area.

[0206] An environmental sensor 61a is installed in Area 1A. The environmental sensor 61a is, for example, a thermometer that measures the temperature of Area 1A (hereinafter referred to as room temperature). The environmental sensor 61a is equipped with a communication means and transmits the measured room temperature to the communication device 60a.

[0207] In addition, an environmental sensor 61b is installed in Area 2B. The environmental sensor 61b is a thermometer that measures the room temperature in Area 2B. The environmental sensor 61b is equipped with a communication device and transmits the measured room temperature to the communication device 60b.

[0208] The communication devices 60a and 60b transmit the room temperature information received from the environmental sensors 61a and 61b to the control device 30.

[0209] Here, the control device 30 according to the sixth embodiment has area environment determination units 46a and 46b corresponding to each area.

[0210] The area determination unit 45 of the control device 30 determines whether the room temperature of the area input via the communication unit 31 is the room temperature of the first area A or the room temperature of the second area B. The area determination unit 45 outputs the room temperature of the first area A to the area environment determination unit 46a. The area determination unit 45 also outputs the room temperature of the second area B to the area environment determination unit 46b. The determination of whether the room temperature of the area is the room temperature of the first area A or the room temperature of the second area B may be performed by the communication unit 31.

[0211] Area environment determination units 46a and 46b determine whether the room temperature output by the area determination unit 45 is within a predetermined room temperature range. The room temperature range is determined by the room temperature of the area output by the area determination unit 45. rin , the minimum value in the room temperature range is t rL , the maximum value in the room temperature range is t rH Therefore, t rL ≤t rin ≤t rH It can be expressed as follows.

[0212] The area environment determination unit 46a determines if the room temperature output by the area determination unit 45 is within the room temperature range (t rL ≤t rin ≤t rH ), and output information indicating that the first area A is within the room temperature range to the risk calculation unit 43a. On the other hand, the area environment determination unit 46a, if the room temperature output by the area determination unit 45 is outside the room temperature range (t rin <t rL , or, t rH <t rin ), the system outputs information to the risk calculation unit 43a indicating that Area 1A is outside the room temperature range.

[0213] Similarly, if the room temperature output by the area determination unit 45 is within the room temperature range, the area environment determination unit 46b outputs information to the risk calculation unit 43b indicating that the second area B is within the room temperature range. On the other hand, if the room temperature output by the area determination unit 45 is outside the room temperature range, the area environment determination unit 46b outputs information to the risk calculation unit 43b indicating that the second area B is outside the room temperature range.

[0214] The risk calculation units 43a and 43b each determine the risk level d using the following formula (11). d=β(α inA ×c inA +α exA ×c exA +α inE ×c inE +α exE ×c exE +α ntmp ×c ntmp ) Formula (11)

[0215] Note that β will be a different value depending on whether the room temperature in Area 1A is within the room temperature range or not. Specifically, if the room temperature in Area 1A is within the room temperature range, β will be the value β L Let's assume that the room temperature in area 1A is outside the room temperature range. H Let's assume the value β. H The value β L A value greater than (β) L <β H )

[0216] α inA , c inA , α exA , c exA , α inE , c inE , α exE , c exE , α ntmp , c ntmp The same applies to equation (8) described above.

[0217] In other words, the risk level d obtained by equation (11) is the risk level d shown in equation (8), and β if the room temperature of the area is within the room temperature range. L If the room temperature in the area is outside the room temperature range, then β H This is a doubled value. In other words, according to equation (11), the risk level d is higher when the room temperature in the area is outside the predetermined room temperature range than when it is within the predetermined room temperature range.

[0218] Note that the values ​​measured by the environmental sensors 61a and 61b are not limited to room temperature, but may also be humidity, for example. In this case, the area environment determination units 46a and 46b determine whether or not the humidity of the area is within a predetermined humidity range. Also, different values ​​are input to β in equation (11) depending on whether or not the humidity of the area is within the humidity range.

[0219] Furthermore, the environmental sensors 61a and 61b may be included in each lithium-ion battery set 10a to 10h and the diesel fuel set 20a and 20b, respectively. In this case, the area environment determination unit 46a determines whether the room temperature measured by each of the lithium-ion battery sets 10a to 10d and the diesel fuel set 20a in the first area A is within a predetermined room temperature range. The risk calculation unit 43a adds different values ​​β (i.e., value β) to each term shown in equation (8) depending on whether the room temperature is within the room temperature range. H or value β L The values ​​are multiplied by and output to the control unit 44 as the risk level d. The same applies to the area environment determination unit 46b and the risk level calculation unit 43b.

[0220] Furthermore, if the control device 30 is located in either the first area A or the second area B, the environmental sensor 61a or environmental sensor 61b may also be located in the control device 30.

[0221] In addition, in the example described above, the control device 30 has two types of values ​​(value β) depending on whether or not the temperature is within the room temperature range. H or value β L The risk level d was calculated using ), but for example, if the room temperature of the corresponding area is the minimum value t of the room temperature range rL is less than (t rin <t rL ), is it within the room temperature range (t rL ≤t rin ≤t rH ), the maximum value t within the room temperature range rH Is it a value greater than (t rin >t rH ), , and may be used to calculate using values ​​that have been divided into three types.

[0222] As described above, according to the sixth embodiment, the risk level d is determined by considering the sensor values ​​of the environmental sensors 61a and 61b in each area. This makes it possible to manage the risk level including the environment of the location where each object is installed, thereby maintaining greater safety.

[0223] Furthermore, the use of environmental sensor values ​​in calculating the risk level d is applicable to other embodiments as well. For example, in the first embodiment, environmental sensors may be installed near each object, and the risk level d may be determined by multiplying the value β based on the environmental sensor values ​​by the entire equation (2). Similarly, in the second to fourth embodiments, the risk level considering the sensor values ​​of the environmental sensors can be determined by multiplying the value β based on the sensor values ​​of each environmental sensor by the calculation formula for determining the risk level d.

[0224] (Seventh Embodiment) Next, a seventh embodiment will be described. Figure 12 is a block diagram showing an example configuration of the control device 30 according to the seventh embodiment. Components and processes similar to those in the above-described embodiments are denoted by the same reference numerals, and their detailed descriptions are omitted.

[0225] The control device 30 according to the seventh embodiment differs from the first to sixth embodiments described above in that it determines the degree of risk based on the charge level (SoC: State of Charge) of the lithium-ion batteries 11a to 11h, rather than the temperature of the lithium-ion batteries 11a to 11h.

[0226] The sensors 12a to 12h of each lithium-ion battery set 10a to 10h measure the charge level of lithium-ion batteries 11a to 11h, respectively, and output the results to the control units 13a to 13h. The charge levels of lithium-ion batteries 11a to 11h are transmitted to the control device 30 via the communication units 14a to 14h.

[0227] The control device 30 includes SoC determination units 47a and 47b instead of temperature determination units 42a and 42b.

[0228] The SoC determination unit 47a determines whether the charge level of each lithium-ion battery 11a to 11d output by the type determination unit 41a is within a predetermined SoC range.

[0229] Similarly, the SoC determination unit 47b determines whether the charge rate of each lithium-ion battery 11e to 11f output by the type determination unit 41b is within a predetermined SoC range. Hereinafter, the charge rate of the lithium-ion battery output by the type determination unit 41b is s in , the minimum value of the SoC range is s L , the maximum value of the SoC range is s H This is how it is written.

[0230] SoC determination units 47a and 47b determine the charge level s of a certain lithium-ion battery in If it is within the SoC range (s L ≤s in ≤s H ), the amount of the lithium-ion battery, the charge level s of the lithium-ion battery in The charge information indicating that it is within the SoC range is output to the risk calculation unit 43a or risk calculation unit 43b.

[0231] Furthermore, the SoC determination units 47a and 47b determine the charge level s of a certain lithium-ion battery. in The minimum value s in the SoC range L If it is smaller than (s L >s in The amount of the lithium-ion battery, along with charging information indicating that the lithium-ion battery is in a low charge state, is output to the risk calculation unit 43a or risk calculation unit 43b.

[0232] Furthermore, the SoC determination units 47a and 47b determine the charge level s of a certain lithium-ion battery. in The minimum value s in the SoC range L If it is greater than (s in >s H The amount of the lithium-ion battery, along with charging information indicating that the lithium-ion battery is in a high charge state, is output to the risk calculation unit 43a or the risk calculation unit 43b.

[0233] The risk level calculation unit 43a calculates the risk level d based on the charging information output by the SoC determination unit 47a, the amount of each lithium-ion battery, and the amount of diesel fuel 21a output by the type determination unit 41a. a Similarly, the risk calculation unit 43b determines the risk d based on the charging information output by the SoC determination unit 47b, the amount of each lithium-ion battery, and the amount of diesel fuel 21b output by the type determination unit 41b. b We seek.

[0234] The risk calculation unit 43a calculates the sum of the amounts of lithium-ion batteries with a charge rate within the SoC range as c sin The total amount of lithium-ion batteries in a low charge state is c exL The total amount of lithium-ion batteries in a highly charged state is c exH , the amount of diesel fuel 21a c ntmp Therefore, the danger level of Area 1A is d a This is calculated, for example, as shown in equation (12) below. d a =α sin ×c sin +α exL ×c exL +α exH ×c exH +α ntmp ×c ntmp Formula (12)

[0235] α sin , α exL , α exH α is a predetermined value. exL is, α sin (α) is a value greater than sin <α exL ). Also, α exL is, α ntmp (α) is a value greater than ntmp <α exL ) α exH is, α sin (α) is a value greater than sin <α exH ). Also, α exH is, α ntmp (α) is a value greater thanntmp <α exH ).

[0236] In other words, the risk calculation unit 43a calculates a value α for the amount of lithium-ion batteries within the SoC range. sin Weighted by this, the amount of lithium-ion batteries in a low charge state is given the value α. exL Weighted by this, the amount of lithium-ion batteries in a high charge state is given the value α. exL Weighted by this, the risk level d a The risk calculation unit 43a assigns a greater weight to the amount of lithium-ion batteries outside the SoC range than to the amount of lithium-ion batteries within the SoC range, and calculates the risk d. a The risk calculation unit 43a calculates the amount of diesel fuel 21a c. ntmp Rather, a greater weight is given to the amount of lithium-ion batteries whose charge level is outside the SoC range, and the risk level d a This calculates the risk level d. a This value increases as the amount of lithium-ion batteries with SoCs outside the SoC range increases.

[0237] Furthermore, the risk level d of the second area B is calculated in the risk level calculation unit 43b using the same method as in formula (12) above. b We seek.

[0238] Furthermore, the SoC determination units 47a and 47b do not determine whether or not it is within the SoC range, but rather set an upper limit reference value S. H Whether or not (s in ≤S H ) may be determined. In this case, the SoC determination units 47a and 47b determine the charge level to be the reference value S. H The following lithium-ion batteries have a value α sin Weighting is applied, and the charge rate is set to the baseline value S H Larger (higher charge level) lithium-ion batteries have a value α exL Weighted by this, the risk level d a d b We calculate the risk d in this case. a d b The charge level is below the standard value S. HThe more lithium-ion batteries used, the higher the price.

[0239] Furthermore, the risk level d calculated by equation (12) may be calculated for every lithium-ion battery set 10a to 10h. In this case, the control unit 44 may control the charging and discharging of a certain lithium-ion battery according to the risk level calculated for every lithium-ion battery set 10a to 10h.

[0240] Specifically, if the charge level of a lithium-ion battery is low, the control unit 44 calculates the risk level of the lithium-ion battery set. If the risk level of the lithium-ion battery set is below a threshold value set for that lithium-ion battery set, the control unit 44 outputs a control command to charge the lithium-ion battery. On the other hand, if the risk level of the lithium-ion battery set exceeds a threshold value set for that lithium-ion battery set, the control unit 44 does not allow the lithium-ion battery to be charged.

[0241] Furthermore, if the risk level of a lithium-ion battery set exceeds a threshold value set for that lithium-ion battery and the charge level of that lithium-ion battery is high, the control unit 44 may reduce the risk level by transmitting a control command to discharge (or stop) the lithium-ion battery.

[0242] Furthermore, although the above example shows how to calculate the risk level for multiple areas, the area controlled by the control device 30 may be one or three or more.

[0243] As described above, the control device 30 according to the seventh embodiment can calculate the degree of risk based on the charge level rather than the temperature of the lithium-ion battery.

[0244] (Eighth embodiment) Next, the eighth embodiment will be described. Figure 13 is a block diagram showing an example configuration of the control device 30 according to the eighth embodiment. Note that components and processes similar to those in the above-described embodiments are denoted by the same reference numerals, and their detailed descriptions are omitted.

[0245] The eighth embodiment differs from the seventh embodiment described above in that it determines the degree of risk by considering the communication method of each object.

[0246] In the following explanation, the lithium-ion battery sets 10a and 10b in Area 1A and the communication device 60a will communicate wirelessly. The lithium-ion battery set 10c and the communication device 60a will communicate via a wired connection.

[0247] Furthermore, the lithium-ion battery set 10d and the diesel fuel 21 are assumed to have no means of communicating with the control device 30. The amount of lithium-ion batteries 11d and diesel fuel 21 contained in the lithium-ion battery set 10d are pre-stored in the database 51 of the control device 30. In addition, information on the temperature of the lithium-ion batteries 11d is acquired, for example, by an administrator via an interface (not shown) attached to the sensor 12d and input into the database 51 of the control device 30. Alternatively, the information on the temperature of the lithium-ion batteries 11d may be entered into the database 51 as "unknown".

[0248] The communication device 60a transmits the object ID and sensor value information received by the lithium-ion battery sets 10a, 10b, and 10c to the control device 30, including communication information indicating whether the information was obtained by wireless communication or wired communication.

[0249] The configuration of the control device 30 is the same as that of the sixth embodiment described above. In the following description, the area determination unit 45 of the control device 30 determines, based on the identification information of the communication device, which area the sensor value belongs to.

[0250] Furthermore, the temperature determination unit 42a determines whether the temperature of each lithium-ion battery 11a to 11c is within the first temperature range R. However, the temperature of lithium-ion battery 11d, which is indicated as "unknown" in the database 51, may be determined to be outside the first temperature range R or within the first temperature range R.

[0251] The risk calculation unit 43a calculates the risk level d for Area 1A, including communication information. a This is calculated using the following formula (13).

number

[0252] M represents the number of object sets included in the first area A. The number of object sets included in the first area A is pre-stored, for example, in the memory unit 32. Also, β is the value of the environmental sensor 61a.

[0253] γ n , α n , c n The value of n represents the nth object among the objects included in Area A. Here, the first object (n=1) is assumed to be a lithium-ion battery 11a. The second object (n=2) is assumed to be a lithium-ion battery 11b. The third object (n=3) is assumed to be a lithium-ion battery 11c. The fourth object (n=4) is assumed to be a lithium-ion battery 11d. The fifth object (n=5) is assumed to be diesel fuel 21.

[0254] γ n This is a value that changes according to the communication information of the nth object. Specifically, if the sensor value of the nth object is obtained by wireless communication, γ n is the value γ Wireless Let's assume that the sensor value of the nth object is obtained via wired communication, γ n is the value γ Wired Let's assume that the sensor value of the nth object is obtained from database 51 rather than by communication, γ n is the value γ DatabaseLet's assume the value γ is correct. Wireless γ value Wired , and the value γ Database is, γ Wireless ≤γ Wired ≤γ Database It satisfies the relationship.

[0255] α n This value changes depending on the type of the nth object. Specifically, if the nth object is a lithium-ion battery within the first temperature range R, then α n is the value α in Let's assume that the nth object is a lithium-ion battery outside the first temperature range R, then α n is the value α ex Let's assume that the nth object is diesel fuel, then α n is the value α ntmp Let's assume that. c n This represents the quantity of the nth object.

[0256] In other words, the risk calculation unit 43a calculates the quantity c of each object in the first area A. n The value α is based on the temperature of the object. n And the value γ based on the communication method when the quantity of the object in question was acquired. n The risk level is weighted accordingly. a Calculate.

[0257] In other words, risk level d a The quantity values ​​for each object are higher when obtained via wired communication than when obtained via wireless communication. Also, the risk level d a The quantity value of the object is higher when obtained from database 51 (i.e., through input from the user (administrator)) than when obtained via wired communication.

[0258] For example, in the example shown in Figure 13, the quantity and temperature of the lithium-ion battery 11d and the quantity of diesel fuel 21 are obtained from the database 51. In this case, the quantity and temperature of the lithium-ion battery 11d and the quantity of diesel fuel 21 may be outdated values ​​(i.e., low reliability). Therefore, the risk calculation unit 43a assigns a large weight (γ) to the quantity of the lithium-ion battery 11d and the quantity of diesel fuel 21. Database ) and the risk level d a Calculate so that the value is high.

[0259] On the other hand, the quantity and temperature of the lithium-ion battery 11c are obtained by wired communication via the communication device 60a. The information obtained by wired communication can be said to be the current quantity and temperature of the lithium-ion battery 11c. Therefore, the risk calculation unit 43a assigns a smaller weight (γ) to the quantity of the lithium-ion battery 11c than when obtained from the database 51. Wired ) with a risk level of d a Calculate.

[0260] However, if the wires connecting the lithium-ion battery 11c and the communication device 60a are long, it is possible that the lithium-ion battery 11c may be moved to a location far from Area 1A while still being wired to the communication device 60a.

[0261] In contrast, the quantity and temperature of lithium-ion batteries 11a to 11c are obtained by wireless communication via the communication device 60a. The fact that wireless communication is possible with the communication device 60a means that there is a high probability that lithium-ion batteries 11a to 11c are located in area A. Therefore, the risk calculation unit 43a assigns a smaller weight (γ) to the quantity of lithium-ion batteries 11a to 11c than it would be if obtained by wired communication. Wireless ) and the risk level d a Calculate so that it becomes as low as possible.

[0262] Furthermore, the risk calculation unit 43b also calculates the risk d of the second area B using formula (13), similar to the risk calculation unit 43a. b Calculate.

[0263] As described above, the control device 30 according to the eighth embodiment is configured such that the temperature and quantity of each object are higher when obtained via wired communication than when obtained via wireless communication, thus reducing the risk level d a d b The control device 30 calculates the risk level d such that the temperature and quantity of each object are higher when obtained from the database 51 (by user input) than when obtained by wired communication. a d b The control device 30 according to the eighth embodiment calculates the risk level so that it increases when the reliability of the information is low.

[0264] For example, if the temperature and quantity information for each object is incorrect, the risk level may be calculated as low even though the actual risk level is high. In contrast, in the eighth embodiment, if there is a high probability that the information is incorrect (low reliability), a value γ that increases the risk level is multiplied. This prevents the control device 30 from calculating a risk level lower than the actual risk level, even if the temperature and quantity information for each object is incorrect.

[0265] Alternatively, the risk level may be calculated by considering the update cycle of the object's information (the time between the previous update and the current update) rather than the communication method. In this case, the update cycle of each object's information is measured, for example, by a timer (not shown) in the control device 30. The control device 30 values ​​γ the shorter the update cycle of each object's information (the shorter the time between the previous update and the current update). n This value is considered small. In other words, the greater the quantity of objects with short renewal cycles, the lower the risk, and the less the quantity of objects with long renewal cycles, the greater the risk.

[0266] According to at least one embodiment described above, it is possible to provide a control device and program capable of efficiently managing the hazard levels of different types of objects.

[0267] While several embodiments of the present invention have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These embodiments can be carried out in a variety of other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. [Explanation of Symbols]

[0268] 1...CPU, 2...Non-volatile memory, 3...RAM, 4...Communication device, 10a~10h...Lithium-ion battery set, 11a~11g...Lithium-ion battery, 12a~12h...Sensor, 13a~13h...Control unit, 14a~14h...Communication unit, 20, 20a, 20b...Diesel fuel set, 21, 21a, 21b...Diesel fuel, 22, 22a, 22b...Sensor, 23, 23a, 23b...Control unit, 24, 24a, 24b...Communication unit, 30...Control device, 31...Communication unit, 32...Storage unit, 3 3... Processing unit, 33... Storage unit, 34... Alarm unit, 41, 41a, 41b... Type determination unit, 42, 42a, 42b... Temperature determination unit, 43, 43a, 43b... Risk level calculation unit, 44... Control unit, 45... Area determination unit, 46a, 46b... Area environment determination unit, 47a, 47b... SoC determination unit, 51... Database, 52... Threshold storage unit, 60a, 60b... Communication device, 61a, 61b... Environmental sensor, A... First area, B... Second area, R, R1... First temperature range, R2... Second temperature range.

Claims

1. It is equipped with a processing unit that manages the hazard level of multiple types of objects, The aforementioned processing unit, The temperature and quantity of the first type of object among the aforementioned multiple types of objects are obtained. Obtain the quantity of the second type of object among the aforementioned multiple types of objects, The degree of risk is determined based on the temperature and quantity of the first type of object and the quantity of the second type of object. Control device.

2. The aforementioned processing unit, The first temperature and first quantity of the first object among the first type of object are obtained. The second temperature and second quantity of the second object among the first type of object are obtained. The degree of risk is determined based on the first temperature, the first quantity, the second temperature, the second quantity, and the quantity of the second type of object. The control device according to claim 1.

3. The aforementioned level of risk increases as the temperature of the first type of object deviates from a predetermined standard value, and also increases as the quantity of the first type of object increases. The control device according to claim 1.

4. The aforementioned risk level increases with the amount of the first type of object having a temperature outside a predetermined range. The control device according to claim 2.

5. The processing unit controls the first type of object so that the temperature falls within a predetermined range when the risk level exceeds a first threshold. The control device according to claim 1.

6. The aforementioned processing unit, When the risk level exceeds the first threshold, and the first temperature is outside a predetermined range and the second temperature is within the range, Control the first object so that the first temperature falls within the range. The control device according to claim 2.

7. The aforementioned processing unit, When the aforementioned risk level exceeds the first threshold, and the first and second temperatures are outside a predetermined range, If the first amount is greater than the second amount, the first object of the first type is controlled. If the second quantity is greater than the first quantity, control the second object of the first type. The control device according to claim 2.

8. The aforementioned processing unit, When the risk level exceeds the first threshold, and the first temperature is outside a predetermined range and the second temperature is within the range, The first type of object or the second type of object is operated, and the first type of object is controlled so that the first temperature falls within the range. The control device according to claim 2.

9. The aforementioned processing unit, The third temperature and third quantity of the third object among the first type of object are obtained. The degree of risk is determined based on the third temperature, the third quantity, and the quantity of the second type of object. If the aforementioned risk level exceeds the first threshold, activate the fourth object of the first type, which is located away from the third object of the first type. The third object of the first type is controlled so that the third temperature falls within a predetermined range. The control device according to claim 1.

10. The aforementioned risk level is, If the first temperature is outside a predetermined first range, it will be higher than when the first temperature is within the first range. If the second temperature is outside the second range, which is different from the first range, it will be higher than when the second temperature is within the second range. The control device according to claim 2.

11. The processing unit acquires sensor values ​​relating to the environment of the location where the first type object and the second type object are located. The aforementioned risk level is higher when the sensor value is outside the predetermined third range than when it is within the predetermined third range. The control device according to claim 1.

12. The sensor value is the temperature or humidity of the location. The control device according to claim 11.

13. The system is further equipped with an alarm that outputs an alarm if the aforementioned risk level exceeds a second threshold. The control device according to claim 1.

14. The aforementioned processing unit, Among the objects of the first type, the temperature and quantity of the object of the first type located at the first location are obtained. The temperature and quantity of the first type of object located at a second location different from the first location are obtained. Of the second type of object, the quantity of the second type of object located at the first location is obtained. Of the second type of object, obtain the quantity of the second type of object located at the second location. Based on the temperature and quantity of the first type of object located at the first location, and the quantity of the second type of object located at the first location, the first degree of hazard is determined. The second risk level is determined based on the temperature and quantity of the first type of object at the second location and the quantity of the second type of object at the second location. The control device according to claim 1.

15. The first type of object is a storage battery, The processing unit acquires the charge level of the first type of object, The degree of risk increases as the amount of the first type of object whose charge level is outside the predetermined range increases. The control device according to claim 1.

16. The aforementioned risk level is, The temperature and quantity of the first type of object and the quantity of the second type of object are higher when obtained via wired communication than when obtained via wireless communication. The temperature and quantity of the first type of object and the quantity of the second type of object are higher when obtained through user input than when obtained through wired communication. The control device according to claim 1.

17. A program that manages the hazard level of multiple types of objects, executed by the computer of a control device, To the aforementioned computer, The steps include obtaining the temperature and quantity of the first type of object whose temperature is controlled among the aforementioned multiple types of objects, The steps include obtaining the quantity of a second type of object, which is not temperature-controlled, among the aforementioned multiple types of objects, A step of determining the degree of risk based on the temperature and quantity of the first type of object and the quantity of the second type of object. A program to execute.

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