Data processing device, data processing method and data processing program

Abstract

The design data acquisition unit (103, 104) acquires design data of the space in which the equipment is to be installed as space design data, and acquires design data for installing the equipment in the space as installation design data. The determination unit (105) uses the space design data and the installation design data to determine, before the equipment is actually installed in the space, whether the equipment will be installed in the space in compliance with installation specifications, which are specifications regarding the installation of the equipment when the equipment is actually installed in the space.

Description

[Technical field]

[0001] The present disclosure relates to the installation of equipment in a space. [Background technology]

[0002] In the technology of Patent Document 1, a space proposal system acquires space design data that indicates the state of the space in terms of design. In addition, the space proposal system calculates the spatial distribution of environmental information in the designed space based on the space design data. Furthermore, the space proposal system determines, based on the calculated spatial distribution, whether the environment in the designed space satisfies the criteria used for environmental authentication of the real space. The space proposal system, for example, calculates the spatial distribution of PMV (Predicted Mean Vote) in the designed space and judges whether the environment in the designed space satisfies the judgment criteria used for environmental authentication of the real space. PMV is an index that indicates the comfort of a space. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] International Publication No. WO2021 / 024807 Summary of the Invention [Problem to be solved by the invention]

[0004] Various pieces of equipment, such as air conditioners, lighting fixtures, elevators, etc., are installed in the spaces of buildings, etc. In order for such equipment to be used safely and appropriately, it is necessary to install the equipment in the space in accordance with the installation specifications, which are the specifications regarding the installation of the equipment. According to the technology of Patent Document 1, a designer can know in advance whether or not the environment in a space satisfies the criteria used for environment authentication. However, the technique of Patent Document 1 has a problem in that the designer cannot know in advance whether the equipment will be installed in the space in compliance with the installation specifications.

[0005] The main objective of the present disclosure is to solve such problems. Specifically, the main objective of the present disclosure is to enable a designer to know in advance whether or not equipment will be installed in a space in compliance with the installation specifications. [Means for solving the problem]

[0006] The data processing device according to the present disclosure comprises: a design data acquisition unit that acquires design data of a space in which equipment is to be installed as space design data, and acquires design data for installing the equipment in the space as installation design data; The system further includes a determination unit that uses the space design data and the installation design data to determine, before the equipment is actually installed in the space, whether or not the equipment will be installed in the space in accordance with installation specifications, which are specifications regarding the installation of the equipment when the equipment is actually installed in the space. Effect of the Invention

[0007] According to the present disclosure, a designer can know in advance whether or not equipment will be installed in a space in compliance with the installation specifications. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram showing an example of the configuration of a data processing system according to a first embodiment. [Diagram 2] FIG. 2 is a diagram showing an example of a functional configuration of the data processing device according to the first embodiment. [Diagram 3] FIG. 2 is a diagram showing an example of a hardware configuration of the data processing device according to the first embodiment. [Figure 4] FIG. 2 is a diagram showing an example of architectural BIM data according to the first embodiment. [Diagram 5] A figure showing an example of a facility BIM object related to embodiment 1. [Figure 6] A figure showing an example of facility BIM data related to embodiment 1. [Figure 7]4 is a flowchart showing an example of the operation of the data processing device according to the first embodiment. [Figure 8] 4 is a flowchart showing an example of the operation of the data processing device according to the first embodiment. [Figure 9] FIG. 4 is a diagram showing an example of a determination result according to the first embodiment. [Figure 10] FIG. 13 is a diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 11] FIG. 11 is a diagram showing an example of a functional configuration of a data processing device according to a second embodiment. [Figure 12] FIG. 11 is a diagram showing an example of specification conformance status data according to the second embodiment. [Figure 13] FIG. 11 is a diagram showing an example of workload data according to the second embodiment. [Figure 14] 10 is a flowchart showing an example of the operation of the data processing device according to the second embodiment. [Figure 15] 10 is a flowchart showing an example of the operation of the data processing device according to the second embodiment. [Figure 16] 10 is a flowchart showing an example of the operation of the data processing device according to the second embodiment. [Figure 17] FIG. 11 is a diagram showing an example of a workload reduction contribution degree table according to the second embodiment. [Figure 18] FIG. 11 is a diagram showing an example of a workload reduction contribution degree table according to the second embodiment. [Figure 19] FIG. 11 is a diagram showing an example of a workload reduction contribution degree table according to the second embodiment. [Figure 20] FIG. 13 is a diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 21] FIG. 11 is a diagram showing an example of specification conformance status data according to the second embodiment. [Figure 22] FIG. 13 is a diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Diagram 23] FIG. 13 is a diagram showing an example of correction value candidate data according to the fourth embodiment. [Figure 24] FIG. 13 is a diagram showing an example of a functional configuration of a data processing device according to a fourth embodiment. [Diagram 25] 13 is a flowchart showing an example of the operation of the data processing device according to the fourth embodiment. [Figure 26] 13 is a flowchart showing an example of the operation of the data processing device according to the fourth embodiment. [Figure 27] FIG. 13 is a diagram showing an example of a correction value candidate table according to the fourth embodiment. [Figure 28] FIG. 13 is a diagram showing an example of a correction value candidate table according to the fifth embodiment. [Figure 29] FIG. 23 is a diagram showing an example of a two-dimensional graph according to the sixth embodiment. [Diagram 30] FIG. 23 is a diagram showing an example of the configuration of a data processing system according to a sixth embodiment. [Diagram 31] FIG. 23 is a diagram showing an example of specification conformance status data according to the sixth embodiment. [Diagram 32] A figure showing an example of a facility BIM object related to variant example 1 of embodiment 1. [Diagram 33] FIG. 1 shows an example of a configuration of a data processing system according to a first modification of the first embodiment. [Diagram 34] A figure showing an example of facility BIM data relating to variant example 1 of embodiment 1. [Diagram 35] FIG. 13 is a diagram showing an example of a configuration of a data processing system according to a second modification of the first embodiment. [Diagram 36] FIG. 13 is a diagram showing an example of a configuration of a data processing system according to a third modification of the first embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, the embodiments will be described with reference to the drawings. In the following description of the embodiments and in the drawings, the same reference numerals denote the same or corresponding parts.

[0010] Embodiment 1 ***Configuration Description*** FIG. 1 shows an example of the configuration of a data processing system 500 according to this embodiment. The data processing system 500 includes a data processing device 100 , a construction designer terminal 200 , an equipment manufacturer terminal 300 , and an equipment designer terminal 400 .

[0011] The architectural designer terminal 200 is a terminal device used by an architectural designer who designs a building. A construction designer terminal 200 transmits architectural BIM (Building Information Modelling) data 201 to the data processing device 100 . Fig. 4 shows an example of architectural BIM data 201. As shown in Fig. 4, the architectural BIM data 201 includes a building ID (Identifier) ​​that can uniquely identify a target building. The architectural BIM data 201 also includes multiple pieces of BIM data regarding the three-dimensional shape and dimensions of the target building. The BIM data included in the architectural BIM data 201 is, for example, three-dimensional CAD (Computer Aided Design) data of the building. The architectural BIM data 201 is design data of the building in which the equipment is to be installed. A building is an example of a space in which equipment is installed. The space in which equipment is installed is not limited to a building surrounded by walls, but may be a space not surrounded by walls, such as a sidewalk, a roadway, or a park. Architectural BIM data 201 is an example of spatial design data.

[0012] The equipment manufacturer terminal 300 is a terminal device used by the equipment manufacturer. The equipment manufacturer terminal 300 transmits the equipment BIM object 301 to the data processing device 100. Fig. 5 shows an example of a facility BIM object 301. As shown in Fig. 5, the facility BIM object 301 includes a facility ID that can uniquely identify a target facility. The facilities include, for example, indoor units of air conditioners, outdoor units of air conditioners, lighting fixtures, lighting control related devices, ventilation equipment, elevators, and entrance / exit management devices. In addition, the equipment BIM object 301 describes one or more installation specifications, which are specifications regarding the installation of the target equipment. Each installation specification includes required specifications and recommended specifications. A mandatory specification is a specification that must be complied with when the equipment is installed, for example, a specification that may cause the equipment to not function properly if not complied with. Recommended specifications are specifications that are recommended to be followed when equipment is installed. Equipment will operate normally even if it does not comply with the recommended specifications. However, compliance with the recommended specifications is expected to have a beneficial effect on the maintenance and management of equipment. For example, compliance with the recommended specifications is expected to make equipment maintenance easier and to shorten the time required for maintenance. When the equipment to be installed is an indoor unit of an air conditioner (also simply referred to as an indoor unit), for example, the following required specifications and recommended specifications are considered. Required specifications: Place the indoor unit at least 10 cm away from the wall. Recommended specifications: Place the indoor unit at least 50 cm away from the wall. In the facility BIM object 301, the required specifications and recommended specifications can be defined by (parameter name, parameter value, and distinction between required specifications and recommended specifications). Specifically, it is conceivable to define required specifications and recommended specifications, as shown in the example of Figure 5. In Figure 5, "Dfw" means the distance between the indoor unit and the wall, and the parameter value is expressed in centimeters.

[0013] The equipment designer terminal 400 is a terminal device used by an equipment designer. The equipment designer performs design for installing equipment in the building that is the target of the architectural BIM data 201. The facility designer terminal 400 transmits facility BIM data 401 to the data processing device 100.

[0014] FIG. 6 shows an example of facility BIM data 401. As shown in FIG. 6, the equipment BIM data 401 includes the building ID of the target building and the equipment ID of the target equipment. In this embodiment, it is assumed that a plurality of indoor units are installed in a building. In order to identify each piece of equipment and the building in which it is installed, the equipment ID included in the equipment BIM data 401 is a character string obtained by adding the building ID and serial number to the equipment ID of the equipment BIM object 301. In the example of Fig. 6, "indoor unit A1-X1-1" is set as the equipment ID. In addition, the facility BIM data 401 includes a plurality of pieces of BIM data regarding three-dimensional shapes and dimensions for installing the target facility. The BIM data included in the facility BIM data 401 is, for example, three-dimensional CAD data for installing the facility. The equipment BIM data 401 is design data for installing equipment in a building. Facility BIM data 401 is an example of installation design data.

[0015] The data processing device 100 receives architectural BIM data 201 from a construction designer terminal 200 . In addition, the data processing device 100 receives an equipment BIM object 301 from the equipment manufacturer terminal 300. Furthermore, the data processing device 100 receives facility BIM data 401 from the facility designer terminal 400. Then, using the architectural BIM data 201 and the equipment BIM data 401, the data processing device 100 determines, before the equipment is actually installed in the building, whether the equipment will be installed in the building in compliance with the installation specifications described in the equipment BIM object 301 when the equipment is actually installed in the building. More specifically, the data processing device 100 determines whether the equipment will be installed in the building in compliance with the required specifications and whether the equipment will be installed in the building in compliance with the recommended specifications. Then, the data processing device 100 transmits the determination result 150 to, for example, the facility designer terminal 400.

[0016] The operation procedure of data processing device 100 corresponds to a data processing method, and the program that realizes the operation of data processing device 100 corresponds to a data processing program.

[0017] Fig. 2 shows an example of a functional configuration of the data processing device 100. Fig. 3 shows an example of a hardware configuration of the data processing device 100. First, an example of the hardware configuration of the data processing device 100 shown in FIG. 3 will be described.

[0018] The data processing device 100 is a computer. The data processing device 100 includes, as hardware, a processor 901, a main memory device 902, an auxiliary memory device 903, a communication device 904, and an input / output device 905. As shown in FIG. 2, the data processing device 100 also has, as its functional configuration, an equipment BIM object acquisition unit 101, an equipment BIM object memory unit 102, a building BIM data acquisition unit 103, an equipment BIM data acquisition unit 104, a judgment unit 105, and an output unit 106. The functions of the facility BIM object acquisition unit 101, the building BIM data acquisition unit 103, the facility BIM data acquisition unit 104, the judgment unit 105 and the output unit 106 are realized, for example, by a program. The auxiliary storage device 903 stores programs that realize the functions of the facility BIM object acquisition unit 101, the building BIM data acquisition unit 103, the facility BIM data acquisition unit 104, the judgment unit 105, and the output unit 106. These programs are loaded from the auxiliary storage device 903 to the main storage device 902. Then, the processor 901 executes these programs to perform the operations of the facility BIM object acquisition unit 101, the architectural BIM data acquisition unit 103, etc., which will be described later. FIG. 3 shows a schematic diagram of a state in which a processor 901 is executing a program that realizes the functions of the facility BIM object acquisition unit 101, the architectural BIM data acquisition unit 103, etc. The facility BIM object memory unit 102 shown in Figure 2 is realized, for example, by a main memory device 902 and / or an auxiliary memory device 903. The communication device 904 communicates with the construction designer terminal 200 , the equipment manufacturer terminal 300 , and the equipment designer terminal 400 . The input / output device 905 includes a mouse, a keyboard, a display, and the like.

[0019] Next, the functional components of the data processing device 100 shown in FIG. 2 will be described.

[0020] The facility BIM object acquisition unit 101 shown in FIG. 2 acquires (receives) the facility BIM object 301 from the facility manufacturer terminal 300 using the communication device 904. Then, the facility BIM object acquisition unit 101 stores the facility BIM object 301 in the facility BIM object memory unit 102.

[0021] The facility BIM object memory unit 102 stores a facility BIM object 301.

[0022] The architectural BIM data acquisition unit 103 acquires (receives) architectural BIM data 201 from the construction designer terminal 200 using the communication device 904. Then, the architectural BIM data acquisition unit 103 outputs the architectural BIM data 201 to the determination unit 105. The architectural BIM data acquisition unit 103 corresponds to a design data acquisition unit together with the facility BIM data acquisition unit 104. In addition, the process performed by the architectural BIM data acquisition unit 103 corresponds to a design data acquisition process together with the process performed by the facility BIM data acquisition unit 104.

[0023] The facility BIM data acquisition unit 104 acquires (receives) facility BIM data 401 from the facility designer terminal 400 using the communication device 904. Then, the facility BIM data acquisition unit 104 outputs the facility BIM data 401 to the determination unit 105. The facility BIM data acquisition unit 104, together with the architectural BIM data acquisition unit 103, corresponds to a design data acquisition unit. In addition, the process performed by the facility BIM data acquisition unit 104, together with the process performed by the architectural BIM data acquisition unit 103, corresponds to a design data acquisition process.

[0024] The determination unit 105 acquires the architectural BIM data 201 from the architectural BIM data acquisition unit 103. In addition, the determination unit 105 acquires the facility BIM data 401 from the facility BIM data acquisition unit 104. Furthermore, the determination unit 105 reads out the facility BIM object 301 from the facility BIM object memory unit 102. Then, the determination unit 105 determines, before the equipment is actually installed in the building, whether or not the equipment will be installed in compliance with the installation specifications when it is actually installed in the building, using the architectural BIM data 201 and the equipment BIM data 401. In other words, the determination unit 105 determines, by a simulation using the architectural BIM data 201 and the equipment BIM data 401, whether or not the equipment will be installed in compliance with the installation specifications described in the equipment BIM object 301 when the equipment is installed in accordance with the equipment BIM data 401. More specifically, the determination unit 105 determines whether the equipment is installed in the building in accordance with the required specifications, and whether the equipment is installed in the building in accordance with the recommended specifications. The process performed by the determining unit 105 corresponds to a determination process.

[0025] The output unit 106 transmits the determination result 150 by the determining unit 105 to the facility designer terminal 400 using, for example, the communication device 904.

[0026] ***How ​​it works** Next, an example of the operation of the data processing device 100 will be described with reference to FIGS. In the following, an indoor unit will be used as an example of equipment.

[0027] First, in step S101 of FIG. 7, the facility BIM object acquisition unit 101 receives the facility BIM object 301 from the facility manufacturer terminal 300 using the communication device 904.

[0028] Next, in step S102, the facility BIM object storage unit 102 stores the facility BIM object 301.

[0029] 8, the architectural BIM data acquisition unit 103 receives the architectural BIM data 201 from the construction designer terminal 200 using the communication device 904. Then, the architectural BIM data acquisition unit 103 outputs the received architectural BIM data 201 to the determination unit 105. The determination unit 105 acquires the architectural BIM data 201 from the architectural BIM data acquisition unit 103 .

[0030] Next, in step S112, the facility BIM data acquisition unit 104 receives the facility BIM data 401 from the facility designer terminal 400 using the communication device 904. In addition, when multiple pieces of equipment are installed in a building, the equipment BIM data acquisition unit 104 receives the equipment BIM data 401 for each piece of equipment to be installed. For example, when 10 indoor units are installed in a building, the equipment BIM data acquisition unit 104 receives 10 pieces of equipment BIM data 401 for each indoor unit. The facility BIM data acquisition unit 104 outputs the received facility BIM data 401 to the determination unit 105. The determination unit 105 acquires the facility BIM data 401 from the facility BIM data acquisition unit 104. It is assumed that the facility BIM data 401 received in step S112 includes an equipment ID corresponding to the equipment ID included in the facility BIM object 301 received in step S101, and a building ID that is the same as the building ID included in the building BIM data 201 received in step S111. An equipment ID corresponding to an equipment ID included in equipment BIM object 301 means an equipment ID whose character string, excluding the building ID and serial number portions, is common to the equipment ID included in equipment BIM object 301. The equipment ID of equipment BIM data 401 in Fig. 6 has a character string (indoor unit A1) excluding the building ID and serial number portions (-X1-1) that is common to the equipment ID (indoor unit A1) of equipment BIM object 301 in Fig. 5. For this reason, the equipment ID included in equipment BIM data 401 in Fig. 6 corresponds to the equipment ID included in equipment BIM object 301 in Fig. 5. Alternatively, the facility BIM data acquisition unit 104 may receive one facility BIM data 401 for multiple facilities installed in one building. In this case, the facility BIM data 401 lists a set of the facility ID and BIM data shown in Fig. 6 for each facility under the building ID shown in Fig. 6. The facility BIM data acquisition unit 104 uses the facility ID to identify the BIM data of the corresponding facility.

[0031] The order of steps S111 and S112 may be reversed. Also, steps S111 and S112 may be performed in parallel.

[0032] Next, in step S113, the determination unit 105 reads out the facility BIM object 301 from the facility BIM object memory unit 102. Specifically, the facility BIM object memory unit 102 reads out the facility BIM object 301 that includes a facility ID corresponding to the facility ID included in the facility BIM data 401 received in step S112.

[0033] Next, in step S114, the determination unit 105 uses the architectural BIM data 201 and the facility BIM data 401 to determine the compliance status of the mandatory specifications and the compliance status of the recommended specifications. Specifically, the determination unit 105 calculates an installation status value, which is a numerical value representing the installation status of the equipment in the building. The determination unit 105 then compares the installation status value with the numerical value of the mandatory specifications to determine whether the equipment is installed in the building in compliance with the mandatory specifications. Similarly, the determination unit 105 compares the installation status value with the numerical value of the recommended specifications to determine whether the equipment is installed in the building in compliance with the recommended specifications.

[0034] For example, it is assumed that the above-mentioned required specifications and recommended specifications are described in the facility BIM object 301. In this case, the determination unit 105 calculates the distance between the wall and the indoor unit as the installation status value. Required specifications: Place the indoor unit at least 10 cm away from the wall. Recommended specifications: Place the indoor unit at least 50 cm away from the wall.

[0035] That is, the determination unit 105 analyzes the architectural BIM data 201 to determine the three-dimensional position of the wall. In addition, the determination unit 105 analyzes the facility BIM data 401 to determine the three-dimensional position of the indoor unit. Furthermore, the determining unit 105 calculates the distance (installation status value) between the wall and the indoor unit from the determination result of the three-dimensional position of the wall and the determination result of the three-dimensional position of the indoor unit. Then, the determining unit 105 determines whether or not the calculated distance satisfies each of the required specifications and the recommended specifications. For example, if the calculated distance between the wall and the indoor unit is 40 cm, the determining unit 105 determines that the required specifications are met but the recommended specifications are not met.

[0036] Furthermore, for example, if there are multiple indoor units installed in a building, the determining unit 105 performs similar processing for each indoor unit, and determines the compliance status with the mandatory specifications and the compliance status with the recommended specifications for each indoor unit. Furthermore, if the facility BIM object 301 includes multiple installation specifications (mandatory specifications and recommended specifications), the determination unit 105 performs the same process for each installation specification and determines the compliance status for each installation specification.

[0037] When the determination in step S114 is completed for all installation specifications and all equipment, in step S115, the output unit 106 transmits the determination result 150 to the facility designer terminal 400, for example, using the communication device 904. The output unit 106 may transmit the determination result 150 to the architectural designer terminal 200 instead of the facility designer terminal 400. The output unit 106 may also transmit the determination result 150 to both the facility designer terminal 400 and the architectural designer terminal 200. The output unit 106 may also output the determination result 150 to a display included in the input / output device 905 without transmitting it to either the facility designer terminal 400 or the architectural designer terminal 200. The determination result 150 may include an installation status value calculated by the determining unit 105 (for example, the distance between the wall and the indoor unit is 40 cm). Fig. 9 shows an example of the determination result 150. In the example of Fig. 9, for installation specification 1, the installation status value (40 cm) and the compliance status of the mandatory specifications and recommended specifications (the mandatory specifications are "compliant" and the recommended indicators are "non-compliant") are shown.

[0038] ***Description of the Effects of the Embodiment*** Thus, in this embodiment, the data processing device 100 determines whether the equipment complies with the installation specifications before the equipment is installed. Therefore, according to this embodiment, the architectural designer and / or equipment designer can know in advance whether the equipment will be installed in compliance with the installation specifications. Furthermore, according to this embodiment, human error during equipment installation is suppressed, and the efficiency of equipment installation work is improved.

[0039] ***Variation 1*** In the first embodiment, the method for generating the facility BIM data 401 does not matter, but for example, it is conceivable that a facility designer generates the facility BIM data 401 using the facility BIM object 301. In this case, as shown in Fig. 32, a facility BIM object 301 includes multiple pieces of BIM data regarding three-dimensional shapes and dimensions for installing the facility. In this case, as shown in Fig. 33, a facility designer terminal 400 acquires the facility BIM object 301 from the facility manufacturer terminal 300. Then, the facility designer generates facility BIM data 401 using the facility BIM object 301, and the facility designer terminal 400 transmits the facility BIM data 401 to the data processing device 100. In this case, the facility BIM data 401 received by the data processing device 100 includes the facility BIM object 301, as shown in Fig. 34. In this case, the data processing device 100 does not need to acquire the equipment BIM object 301 from the equipment manufacturer terminal 300, as shown in FIG. Even in this case, the processing of the data processing device 100 is similar to that described above.

[0040] ***Variation 2*** In the first embodiment, the equipment manufacturer terminal 300 and the equipment designer terminal 400 are separate devices. Alternatively, as shown in FIG. 35, the equipment manufacturer terminal 300 and the equipment designer terminal 400 may be integrated. In this case, the equipment designer generates the equipment BIM object 301 and generates equipment BIM data 401 using the equipment BIM object 301. Then, the equipment designer terminal 400 transmits the equipment BIM data 401 to the data processing device 100. In this case, the equipment BIM data 401 received by the data processing device 100 includes the equipment BIM object 301 as shown in FIG. 34, similarly to the first modification. Even in this case, the processing of the data processing device 100 is similar to that described above.

[0041] ***Variation 3*** In the first embodiment, the data processing device 100 and the facility designer terminal 400 are separate devices. Alternatively, as shown in Fig. 36, the data processing device 100 and the facility designer terminal 400 may be integrated. That is, the data processing device 100 generates facility BIM data 401 as the facility designer terminal 400, and uses the facility BIM data 401 to determine the compliance status of the mandatory specifications and the compliance status of the recommended specifications. Even in this case, the processing of the data processing device 100 is similar to that described above. Then, the data processing device 100 outputs the determination result 150 to, for example, a display of the input / output device 905 .

[0042] Embodiment 2 In this embodiment, an example will be described in which it is determined whether or not the recommended specifications contribute to reducing the workload of maintenance work on equipment.

[0043] In the installation of equipment, there are cases where the equipment is installed without complying with the recommended specifications due to various reasons. As described in the first embodiment, if the equipment complies with the recommended specifications, it is expected that the effect of facilitating the maintenance work of the equipment will be achieved. For this reason, it is conceivable that a difference will arise between the workload of maintenance work for equipment installed in accordance with the recommended specifications and the workload of maintenance work for equipment installed without complying with the recommended specifications. It is then desirable to verify whether the recommended specifications are useful for reducing the workload based on the degree of difference in workload between cases where the recommended specifications are in compliance and cases where the recommended specifications are not in compliance. For example, if the workload of maintenance work for equipment installed in accordance with the recommended specifications is significantly less than the workload of maintenance work for equipment installed without complying with the recommended specifications, it is considered that the recommended specifications contribute to reducing the workload. In such a case, it is desirable to maintain the recommended work. On the other hand, if there is no significant difference, it is considered that the recommended specifications do not contribute to reducing the workload. In such a case, there is no need to maintain the recommended work.

[0044] From this perspective, in this embodiment, an example will be described in which the necessity of the recommended specifications is determined based on the compliance with the recommended specifications in an example of installation of equipment and the workload of the maintenance work.

[0045] In this embodiment, differences from the first embodiment will be mainly described. It should be noted that matters not explained below are the same as those in the first embodiment. In the following, an indoor unit will be used as an example of equipment.

[0046] FIG. 10 shows an example of the configuration of a data processing system 500 according to this embodiment. 10, construction designer terminal 200 and facility designer terminal 400 are omitted, and installer terminal 600 and maintenance contractor terminal 700 are added. FIG. 10 shows a configuration example in which the construction designer terminal 200 and the facility designer terminal 400 are not present, but the construction designer terminal 200 and the facility designer terminal 400 may be present as in FIG.

[0047] The equipment manufacturer terminal 300 and the equipment BIM object 301 are the same as those shown in Fig. 1. Therefore, the description of the equipment manufacturer terminal 300 and the equipment BIM object 301 will be omitted.

[0048] The installer terminal 600 is a terminal device used by an installer who performs the installation work of the equipment. The installer terminal 600 transmits specification compliance status data 601 to the data processing device 100. The installer terminal 600 transmits the specification compliance status data 601 for each installation case in which equipment is installed. When multiple pieces of equipment are installed in one building, each installation is treated as a different installation case. For example, when 10 pieces of equipment are installed in one building, there will be 10 installation cases. The specification compliance status data 601 indicates the compliance status of mandatory specifications and the compliance status of recommended specifications in the installation of the equipment.

[0049] FIG. 12 shows an example of the specification compliance status data 601. The specification compliance status data 601 indicates a building ID, an equipment ID, installation specifications, the compliance status of required specifications, and the compliance status of recommended specifications. The building ID and installation specifications are the same as those explained in the embodiment 1. In addition, in the specification compliance status data 601, an equipment ID corresponding to the equipment ID of the equipment BIM data 401 is set. The compliance status of the required specifications indicates whether the equipment was installed in compliance with the required specifications when actually installed, and similarly, the compliance status of the recommended specifications indicates whether the equipment was installed in compliance with the recommended specifications when actually installed.

[0050] The maintenance contractor terminal 700 is a terminal device used by a maintenance contractor to perform maintenance work on equipment. The maintenance company terminal 700 transmits workload data 701 to the data processing device 100. The maintenance company terminal 700 transmits the workload data 701 for each installation example. The workload data 701 indicates the workload in the maintenance work of the facility.

[0051] FIG. 13 shows an example of the workload data 701 . The workload data 701 indicates a building ID, a facility ID, and a workload. The building ID and facility ID are the same as those described in the first embodiment. The workload amount is a numerical value of the load required for the maintenance work of the equipment. In this embodiment, the time required for the maintenance work (hereinafter, referred to as the work time) is used as the workload amount.

[0052] The data processing device 100 receives the equipment BIM object 301 from the equipment manufacturer terminal 300 in the same manner as in the first embodiment. Moreover, the data processing device 100 receives a plurality of pieces of specification compliance status data 601 for a plurality of installation examples from the installer terminal 600, and accumulates the plurality of pieces of specification compliance status data 601. Moreover, the data processing device 100 receives a plurality of workload data 701 for a plurality of installation examples from the maintenance company terminal 700, and accumulates the plurality of workload data 701. Furthermore, the data processing device 100 determines whether or not the recommended specifications of the facility BIM object 301 need to be modified based on the compliance status of the recommended specifications in the multiple specification compliance status data 601 and the work time in the multiple workload data 701. Then, the data processing device 100 transmits the determination result 160 to the equipment manufacturer terminal 300. If it is determined in the determination result 160 that the recommended specifications need to be modified, the equipment manufacturer considers modifying the recommended specifications. In this embodiment, the data processing device 100 determines whether the recommended specifications should be maintained or deleted as a determination of whether the recommended specifications need to be modified. Therefore, a proposal to maintain or delete the recommended specifications is indicated in the determination result 160. The equipment manufacturer refers to the determination result 160 and considers whether to maintain or delete the recommended specifications.

[0053] FIG. 11 shows an example of the functional configuration of a data processing device 100 according to this embodiment. An example of the hardware configuration of the data processing device 100 according to this embodiment is as shown in FIG.

[0054] The facility BIM object acquisition unit 101 and the facility BIM object storage unit 102 are the same as those shown in Fig. 2. Therefore, the description of the facility BIM object acquisition unit 101 and the facility BIM object storage unit 102 will be omitted.

[0055] The specification compliance status data acquisition unit 107 acquires the specification compliance status data 601 from the installer terminal 600 using the communication device 904 . Then, the specification compliance status data acquisition unit 107 stores the specification compliance status data 601 in the acquired data storage unit 108 . The specification compliance status data acquisition unit 107 is realized by a program, similar to the facility BIM object acquisition unit 101, etc. Then, similar to the facility BIM object acquisition unit 101, etc., the processor 901 executes the program that realizes the specification compliance status data acquisition unit 107. The process performed by the specification compliance status data acquisition unit 107 corresponds to a specification compliance status data acquisition process.

[0056] The workload data acquisition unit 109 acquires the workload data 701 from the maintenance company terminal 700 using the communication device 904 . Then, the workload data acquisition unit 109 stores the workload data 701 in the acquired data storage unit 108 . The workload data acquisition unit 109 is realized by a program, similar to the facility BIM object acquisition unit 101, etc. Then, similar to the facility BIM object acquisition unit 101, etc., the processor 901 executes a program that realizes the workload data acquisition unit 109. The process performed by the workload data acquisition unit 109 corresponds to a workload data acquisition process.

[0057] The acquired data storage unit 108 stores the specification compliance status data 601 and the workload data 701 . The acquired data memory unit 108, like the facility BIM object memory unit 102, is realized by a main memory unit 902 and / or an auxiliary memory unit 903.

[0058] In this embodiment, the determination unit 105 reads out the facility BIM object 301 from the facility BIM object storage unit 102. In addition, the determination unit 105 reads out a plurality of specification compliance status data 601 and a plurality of workload data 701 corresponding to the facility BIM object 301 from the acquired data storage unit 108. Furthermore, the determination unit 105 determines whether or not the recommended specifications of the facility BIM object 301 need to be modified based on the compliance status of the recommended specifications in the multiple specification compliance status data 601 and the work time in the multiple workload data 701. More specifically, the determination unit 105 uses either the total value or the average value of the work time in the installation examples in which the facility is installed in compliance with the recommended specifications, and either the total value or the average value of the work time in the installation examples in which the facility is installed without compliance with the recommended specifications, to determine whether or not the recommended specifications contribute to reducing the work load in the installation of the facility, and determines whether or not the recommended specifications need to be modified. In this embodiment, the determination unit 105 determines whether or not the recommended specifications need to be modified by determining whether or not to maintain or delete the recommended specifications. In this embodiment as well, the process performed by the determining unit 105 corresponds to the determination process.

[0059] The output unit 106 outputs the determination result 160 of the determining unit 105 to the equipment manufacturer terminal 300 using the communication device 904 .

[0060] ***How ​​it works** Next, an example of the operation of the data processing device 100 will be described with reference to FIGS. It is assumed that the operation of Fig. 7 described in the first embodiment is performed before the operations shown in Fig. 14, Fig. 15, and Fig. 16 are performed. In other words, it is assumed that the facility BIM object 301 is stored in the facility BIM object storage unit 102 before the operations of Fig. 14, Fig. 15, and Fig. 16 are performed.

[0061] First, in step S211 of FIG. 14, the specification compliance status data acquisition unit 107 receives the specification compliance status data 601 from the installer terminal 600 using the communication device 904.

[0062] Next, in step S212, the acquired data storage unit 108 stores the specification conformance status data 601.

[0063] The flow of FIG. 14 is performed every time the specification conformance status data 601 is transmitted from the installer terminal 600. It is assumed that a plurality of specification conformance status data 601 are stored in the acquired data storage unit 108 .

[0064] Next, in step S221 of FIG. 15, the workload data acquisition unit 109 receives the workload data 701 from the maintenance company terminal 700 using the communication device 904.

[0065] Next, in step S222, the acquired data storage unit 108 stores the workload data 701.

[0066] The flow of FIG. 15 is performed every time the workload data 701 is transmitted from the maintenance company terminal 700. It is assumed that a plurality of workload data 701 are stored in the acquired data storage unit 108 .

[0067] The flow of FIG. 16 starts when a request is received from the equipment manufacturer terminal 300 . The flow in FIG. 16 may also be started when the default review timing for the recommended specifications arrives. The flow in FIG. 16 may also start when the amount of specification compliance status data 601 stored in the acquired data storage unit 108 reaches a preset value. The flow of FIG. 16 may also be started when the number of pieces of workload data 701 stored in the acquired data storage unit 108 reaches a preset value.

[0068] In step S231 of FIG. 16, the determination unit 105 reads out the facility BIM object 301 from the facility BIM object memory unit 102.

[0069] Next, in step S232, the determining unit 105 reads the specification compliance status data 601 and the workload data 701 from the acquired data storage unit . More specifically, the determination unit 105 reads out the specification compliance status data 601 in which the equipment ID corresponding to the equipment ID described in the equipment BIM object 301 read out in step S231 is described. Similarly, the judgment unit 105 reads out the workload data 701 in which the equipment ID corresponding to the equipment ID described in the equipment BIM object 301 read out in step S231 is described. For example, when the facility BIM object 301 in Fig. 5 is read in step S231, the determination unit 105 reads the specification compliance status data 601 in which the facility ID corresponding to the indoor unit A1 is described, and the workload data 701. For example, the determination unit 105 reads the specification compliance status data 601 in Fig. 12 and the workload data 701 in Fig. 13.

[0070] Next, in step S233, the determination unit 105 calculates the workload reduction contribution degree. The workload reduction contribution degree is a value indicating the degree to which the recommended specifications contribute to reducing the workload during installation of the equipment. A method for calculating the workload reduction contribution degree will be described below.

[0071] FIG. 17 shows an example of a workload reduction contribution degree table generated by the determining unit 105 from the specification compliance status data 601 and the workload amount data 701. 17, the "equipment instance" column indicates the equipment ID extracted by the determination unit 105 from each of the multiple specification compliance status data 601 read in step S232. That is, the "equipment instance" column indicates each installation example. In the example of FIG. 17, the determination unit 105 reads out 10 pieces of specification compliance status data 601 corresponding to 10 installation examples in step S232. The "recommended specification compliance status" column indicates the compliance status with the recommended specification extracted by the determining unit 105 from each of the multiple specification compliance status data 601 read out in step S232. The "task time" column indicates the task time extracted by the determining unit 105 from each of the multiple workload data 701 read out in step S232.

[0072] The determining unit 105 calculates the workload reduction contribution degree according to the following formula. Contribution to reducing workload = (average non-compliant work hours) / (average compliant work hours) In the example of FIG. 17, the workload reduction contribution rate is 2.139.

[0073] FIG. 18 shows another example of a workload reduction contribution table. In the example of Fig. 18, the compliance status with the recommended specifications differs from that of Fig. 17. In the example of Fig. 18, there are more installation examples that do not comply with the recommended specifications than in the example of Fig. 17. In the example shown in FIG. 18, the workload reduction contribution rate is 1.667.

[0074] In step S234 in FIG. 16, the determining unit 105 determines whether or not the recommended specifications need to be modified. In this embodiment, the determining unit 105 determines whether the recommended specifications need to be modified, that is, whether to maintain or delete the recommended specifications. Specifically, if the workload reduction contribution degree is equal to or greater than the threshold, the determining unit 105 determines that the recommended specifications should be maintained. On the other hand, if the workload reduction contribution degree is less than the threshold, the determining unit 105 determines that the recommended specifications should be deleted. Here, the determination unit 105 uses, for example, "2.0" as the threshold value. In the example of FIG. 17, the workload reduction contribution degree=2.139, which is equal to or greater than the threshold value, so the determining unit 105 determines that the recommended specifications should be continued. On the other hand, in the example of FIG. 18, the workload reduction contribution degree is 1.667, which is less than the threshold value, so the determining unit 105 determines that the recommended specifications should be deleted.

[0075] Finally, in step S235, the output unit 106 transmits the determination result 160 of the determining unit 105 to the equipment manufacturer terminal 300 using the communication device 904. The decision result 160 indicates a suggestion to maintain or delete the recommended specifications.

[0076] Furthermore, when there are multiple recommended specifications for one required specification, the determination unit 105 calculates the workload reduction contribution degree for each recommended specification. Then, the determination unit 105 can determine that a recommended specification whose workload reduction contribution degree is equal to or greater than a threshold should be maintained, and determine that a recommended specification whose workload reduction contribution degree is less than the threshold should be maintained. FIG. 19 shows an example of a workload reduction contribution table in the case where there are a plurality of recommended specifications. 19, since recommended specification 1 is equal to or greater than the threshold, the determining unit 105 determines that recommended specification 1 should be maintained. On the other hand, since recommended specification 2 is less than the threshold, the determining unit 105 determines that recommended specification 2 should be maintained.

[0077] In this embodiment, the determining unit 105 determines whether or not the recommended specifications need to be modified based on the work time of the maintenance work. Alternatively, the determining unit 105 may determine whether or not the recommended specifications need to be modified based on the work time required for the installation work of the equipment. In this case, for example, the configuration example shown in FIG. 20 may be considered as an example of the configuration of the data processing system 500 instead of that shown in FIG. 20, the data processing device 100 receives specification compliance status data 601 and workload data 602 from the installer terminal 600. The workload data 602 indicates work time, similar to the workload data 701. Note that the workload data 602 indicates, for each combination of a building ID and an equipment ID, the work time required for the installation work when the installer installed the equipment in the building. In the data processing device 100, the specification compliance status data acquisition unit 107 shown in FIG. 11 receives specification compliance status data 601 from the installer terminal 600, and the workload data acquisition unit 109 receives workload data 602 from the installer terminal 600. 20, the installer terminal 600 transmits the specification compliance status data 601 and the workload amount data 602, but the installer terminal 600 may transmit specification compliance status data 603 which is a combination of the specification compliance status data 601 and the workload amount data 602, as shown in Fig. 21. In this case, in the data processing device 100, the specification compliance status data acquisition unit 107 receives the specification compliance status data 603 instead of the specification compliance status data 601. Then, the specification compliance status data acquisition unit 107 stores the specification compliance status data 603 in the acquired data storage unit 108. In this case, the workload data acquisition unit 109 can be omitted from the configuration of the data processing device 100. Moreover, the flow of FIG. 15 can be omitted.

[0078] In the present embodiment, the determination unit 105 calculates the workload reduction contribution degree by using the average value of the work time. The determination unit 105 may calculate the workload reduction contribution degree by using the total value of the work time instead of the average value of the work time. That is, the determining unit 105 may calculate the workload reduction contribution degree as follows. Contribution to reducing workload =(Total Work Time Metric if Non-Compliant) / (Total Work Time Metric if Compliant)

[0079] In addition, in this embodiment, the determining unit 105 determines whether or not the recommended specifications need to be modified. However, it may determine whether or not the mandatory specifications need to be modified. The method in which the determining unit 105 determines whether or not the mandatory specifications need to be modified is realized by replacing the "recommended specifications" in the description of this embodiment with "mandatory specifications."

[0080] Furthermore, in this embodiment, the specification compliance status data acquisition unit 107 acquires the specification compliance status data 601 from the installer terminal 600. Alternatively, the specification compliance status data acquisition unit 107 may acquire the determination result 150 described in the first embodiment as the specification compliance status data 601. The determination result 150 in the first embodiment indicates the determination result as to whether or not the equipment is installed in the building in compliance with the mandatory specifications, and whether or not the equipment is installed in the building in compliance with the recommended specifications. Therefore, the determination unit 105 can use the determination result 150 as the specification compliance status data 601. When the data processing device 100 of the first embodiment and the data processing device 100 of the second embodiment are configured as separate devices, the specification compliance status data acquisition unit 107 acquires the judgment result 150 from the judgment unit 105 of the data processing device 100 of the first embodiment. When the data processing device 100 of the first embodiment and the data processing device 100 of the second embodiment are configured as the same device, the data processing device 100 includes the configuration shown in Fig. 2 and the configuration shown in Fig. 11. Then, the specification compliance status data acquisition unit 107 acquires the determination result 150 from the determination unit 105 shown in Fig. 2.

[0081] ***Description of the Effects of the Embodiment*** As described above, according to this embodiment, it is possible to determine the usefulness of installation specifications from the viewpoint of reducing the workload of equipment maintenance work or the workload of equipment installation work.

[0082] Embodiment 3 In this embodiment, an example will be described in which a method different from that in the second embodiment is used to determine whether or not the recommended specifications need to be modified.

[0083] In this embodiment, differences from the second embodiment will be mainly described. It should be noted that matters not explained below are the same as those in the second embodiment. In the following, an indoor unit will be used as an example of equipment.

[0084] An example of the configuration of a data processing system 500 according to this embodiment is shown in FIG. An example of the functional configuration of the data processing device 100 according to this embodiment is as shown in FIG. Moreover, the data processing device 100 according to this embodiment performs the operations shown in FIGS.

[0085] In this embodiment, the determination unit 105 performs steps S231 and S323 in Fig. 16, but does not perform step S233. Also, the determination unit 105 performs step S234 in Fig. 16, but determines whether or not the recommended specifications need to be modified using a method different from that in the second embodiment.

[0086] Specifically, in this embodiment, in step S234, the judgment unit 105 tests the independence between the work time in an installation example in which the equipment was installed without complying with the recommended specifications and the work time in an installation example in which the equipment was installed in compliance with the recommended specifications. Then, when the hypothesis is rejected (independence is denied), the determining unit 105 determines to continue the recommended specifications, whereas when the hypothesis is not rejected (independence is denied), the determining unit 105 determines to delete the recommended specifications. In this embodiment, the workload reduction contribution degree is a p-value, and the threshold is a significance level. However, since the smaller the p-value, the greater the contribution to workload reduction, the determination unit 105 determines to delete the recommended specifications when "p-value>significance level." The determination unit 105 may also treat "1 / p-value" as the workload reduction contribution degree, and "1 / significance level" as the threshold.

[0087] Thereafter, step S235 in FIG. 16 is carried out in the same manner as in the second embodiment.

[0088] ***Description of the Effects of the Embodiment*** According to this embodiment as well, the usefulness of the installation specifications can be determined from the viewpoint of reducing the workload of equipment maintenance work or the workload of equipment installation work.

[0089] Embodiment 4 In the second and third embodiments, the determining unit 105 determines only whether to maintain or delete the recommended specifications. In this embodiment, an example will be described in which, when the determining unit 105 determines that the recommended specifications need to be modified, a modified value of the recommended specifications is selected.

[0090] In this embodiment, differences from the second embodiment will be mainly described. It should be noted that matters not explained below are the same as those in the second embodiment. In the following, an indoor unit will be used as an example of equipment.

[0091] FIG. 22 shows an example of the configuration of a data processing system 500 according to this embodiment. In this embodiment, the maintenance contractor terminal 700 transmits correction value candidate data 702 to the data processing device 100 for each installation example. In this embodiment, the data processing device 100 transmits the determination result 170 to the equipment manufacturer terminal 300. The determination result 170 may include a correction value of the recommended specifications. Elements other than the correction value candidate data 702 and the determination result 170 are the same as those shown in FIG.

[0092] FIG. 23 shows an example of the correction value candidate data 702. In the correction value candidate data 702, the building ID is the same as that described in the embodiment 2. In addition, in the correction value candidate data 702, the same facility ID as the facility ID of the facility BIM data 401 and the specification compliance status data 601 is set. The correction value candidates are candidates for correction values ​​of parameter values ​​of recommended specifications. In the example of Fig. 23, (Dfw, 40, Recommended) is listed as a correction value candidate for (Dfw, 50, Recommended), which is the recommended specification of installation specification 1 shown in Fig. 5. In other words, "40" is listed as a correction value candidate for the parameter value "50". In FIG. 23, for ease of understanding, "(Dfw, 40, recommended)" is written as the correction value candidate, but it is also possible to simply write "40" as the correction value candidate. The maintenance company can enter a correction value candidate in the correction value candidate data 702 as a correction request for a parameter value of the recommended specifications. That is, when the maintenance company desires to correct a parameter value of the recommended specifications, the maintenance company enters a correction value candidate in the correction value candidate data 702. The maintenance company can enter either a value closer to the required specifications than the current recommended specifications (e.g., 40 cm) or a value farther from the required specifications (e.g., 60 cm) as the correction candidate value. If the maintenance company does not wish to modify the parameter values ​​of the recommended specifications, the maintenance company, for example, writes "none" in the modification candidate value field.

[0093] In this embodiment, the data processing device 100 receives a plurality of correction value candidate data 702 for a plurality of installation cases. Furthermore, when the data processing device 100 determines that the recommended specifications need to be modified, it selects a modification value for the recommended specifications from among a plurality of modification candidate values ​​included in a plurality of modification value candidate data 702. Then, the data processing device 100 transmits a determination result 170 to the equipment manufacturer terminal 300. When the data processing device 100 selects a modification value, the determination result 170 includes the modification value. If the determination result 170 indicates a corrected value of the recommended specifications, the equipment manufacturer considers correcting the parameter value of the recommended specifications to the corrected value.

[0094] FIG. 24 shows an example of a functional configuration of a data processing device 100 according to this embodiment.

[0095] 24, compared to FIG. 11, a correction value candidate data acquisition section 110 is added. Moreover, the output unit 106 outputs the determination result 170 .

[0096] The correction value candidate data acquisition section 110 receives the correction value candidate data 702 using the communication device 904. Then, the correction value candidate data acquisition section 110 stores the received correction value candidate data 702 in the acquired data storage section .

[0097] In this embodiment, when the judgment unit 105 judges that the recommended specifications need to be modified, it selects one of the multiple modification value candidates included in the multiple modification value candidate data 702 as the modification value for the recommended specifications. For example, the determination unit 105 counts the number of times each correction value candidate appears in the multiple correction value candidate data 702. Then, based on the counting result, the determination unit 105 selects one of the multiple correction value candidates as a correction value for the recommended specification. Then, the data processing device 100 transmits the determination result 170 to the equipment manufacturer terminal 300. When the data processing device 100 selects a correction value, the determination result 170 includes the correction value.

[0098] Moreover, the operation example of the data processing device 100 according to this embodiment is shown in FIGS. 14 and 15 are the same as those shown in the embodiment 2. Therefore, the description of Fig. 14 and Fig. 15 will be omitted.

[0099] In FIG. 25, in step S311, the correction value candidate data acquisition unit 110 receives the correction value candidate data 702 from the maintenance company terminal 700 using the communication device 904.

[0100] Next, in step S312, the acquired data storage unit 108 stores the correction value candidate data 702.

[0101] In Fig. 26, steps S321 to S324 are the same as steps S231 to S234 in Fig. 16. Therefore, the description thereof will be omitted.

[0102] If the result of the determination made by determining unit 105 in step S324 as to whether or not the recommended specifications need to be modified indicates that the recommended specifications need to be modified (YES in step S325), the process proceeds to step S326. The recommended specifications need to be modified when the determining unit 105 determines in step S324 that the recommended specifications should be deleted.

[0103] In step S326, the determining unit 105 selects the corrected values ​​of the parameter values ​​of the recommended specifications. Specifically, the determination unit 105 reads out a plurality of correction value candidate data 702 from the acquired data storage unit 108. Then, the determination unit 105 counts the number of times each correction value candidate appears in the plurality of correction value candidate data 702. Furthermore, based on the counting result, the determination unit 105 selects one of the correction value candidates from among the plurality of correction value candidates as a correction value for the recommended specification.

[0104] Then, in step S327, the output unit 106 transmits the determination result 170 of the determining unit 105 to the equipment manufacturer terminal 300 using the communication device 904. As described above, when the determination unit 105 selects a modified value, the determination result 170 includes the modified value.

[0105] FIG. 27 shows an example of a correction value candidate table generated by the determining unit 105. In FIG. With reference to FIG. 27, a method for the determination unit 105 to select the correction value in step S326 will be described.

[0106] In Fig. 27, the "equipment instance" column is the same as that shown in Fig. 17. The determining unit 105 extracts the equipment ID from the specification compliance status data 601 in Fig. 12, and generates the "equipment instance" column. The "recommended specifications" field contains the recommended specifications "50 cm" described in the facility BIM object 301 in Fig. 5. The determination unit 105 extracts parameter values ​​of the recommended specifications from the facility BIM object 301, and generates the "recommended specifications" field. The "modification value candidate" field lists the modification value candidates extracted by the determination unit 105 from the multiple modification value candidate data 702. The determination unit 105 extracts modification value candidates from the modification value candidate data 702 in Fig. 23 and generates the "modification value candidate" field. Then, the determining unit 105 selects the correction value of the recommended specifications in the following procedure.

[0107] 1) The determination unit 105 counts, for each correction value candidate, the number of times that the correction value candidate appears in the correction value candidate data 702 (hereinafter, referred to as the number of appearances). In the example of Figure 27, the number of occurrences of each of 90cm, 80cm, 70cm, 60cm, and 40cm is "1." Additionally, the number of occurrences of "none" is "5."

[0108] 2) Next, the determining unit 105 calculates, for each correction value candidate, the ratio of the number of occurrences of the correction value candidate to the total number of occurrences. In the example of Fig. 27, the ratio of occurrences of each of 90cm, 80cm, 70cm, 60cm, and 40cm is "1 / 10." Also, the ratio of occurrences of "none" is "5 / 10."

[0109] 3) Next, the determining unit 105 accumulates the ratios of the occurrence frequency of the correction value candidates in descending order, and selects the correction value candidate for which the accumulated value becomes equal to or greater than the threshold value for the first time, excluding "none," as the correction value of the recommended specification. In the example of FIG. 27, the determination unit 105 uses "0.3" as the threshold value. In the example of Fig. 27, the integrated value obtained by accumulating the percentage of occurrences of 90cm, 80cm, and 70cm is (1 / 10+1 / 10+1 / 10)=3 / 10. In Fig. 27, the integrated value of the percentage of occurrences of 90cm, 80cm, and 70cm is expressed as "integrated value of 70cm percentage." In the example of Fig. 27, the "integrated value of 70cm percentage" is the first to exceed the threshold value. Therefore, the determining unit 105 selects 70 cm as the correction value of the recommended specifications.

[0110] 27, the determination unit 105 accumulates the ratio of the number of occurrences of the correction value candidates in descending order. Alternatively, the determination unit 105 may accumulate the ratio of the number of occurrences of the correction value candidates in ascending order, and select the correction value candidate whose accumulated value is equal to or greater than the threshold value for the first time as the correction value of the recommended specification. Furthermore, the determining unit 105 may select the modification value candidate that appears the most frequently among the modification value candidates, excluding the modification value candidate "none," as the modification value of the recommended specification.

[0111] In addition, in this embodiment, the determining unit 105 selects the correction value of the recommended specification, but it may select the correction value of the mandatory specification. The method in which the determining unit 105 selects the correction value of the mandatory specification is realized by replacing the "recommended specification" in the description of this embodiment with the "mandatory specification".

[0112] ***Description of the Effects of the Embodiment*** According to this embodiment, it is possible to reflect parameter values ​​desired by the maintenance company in the installation specifications.

[0113] Embodiment 5. In this embodiment, an example will be described in which the determining unit 105 selects the correction value of the recommended specifications using a method different from that in the fourth embodiment.

[0114] In this embodiment, differences from the fourth embodiment will be mainly described. It should be noted that matters not explained below are the same as those in the fourth embodiment. In the following, an indoor unit will be used as an example of equipment.

[0115] An example of the configuration of a data processing system 500 according to this embodiment is as shown in FIG. An example of the functional configuration of the data processing device 100 according to this embodiment is as shown in FIG. Moreover, examples of the operation of the data processing device 100 according to this embodiment are shown in FIGS.

[0116] In this embodiment, the method of selecting the correction value in step S326 in FIG. 26 is different from that in the fourth embodiment.

[0117] In this embodiment, in step S326, when the determination unit 105 reads out a plurality of correction value candidate data 702 from the acquired data storage unit 108, the determination unit 105 determines, for each correction value candidate data 702, whether or not the equipment was installed in compliance with the recommended specifications in the installation example associated with the correction value candidate data 702. In other words, for each correction value candidate data 702, the determination unit 105 determines the compliance status with the recommended specifications in the specification compliance status data 601 in which the same equipment ID as the equipment ID of the correction value candidate data 702 is set. Furthermore, for each correction value candidate, the determining unit 105 counts the number of times that the equipment was installed in compliance with the installation specifications in the associated installation example. Furthermore, the determining unit 105 selects one of the multiple correction value candidates as the correction value of the recommended specifications based on the counting result.

[0118] FIG. 28 shows an example of a correction value candidate table generated by determining section 105 according to this embodiment. In Fig. 28, the "equipment instance", "recommended specifications", and "correction value candidates" are the same as those shown in Fig. 27. However, the numerical values ​​of the "correction value candidates" are different from those in Fig. 27. The “compliance status with recommended specifications” column describes the compliance status with the recommended specifications determined by the determining unit 105 for each of the correction value candidate data 702 .

[0119] With reference to FIG. 28, a method for the determination unit 105 to select the correction value in step S326 will be described. It is assumed here that the determination unit 105 has generated a modification value candidate table similar to that shown in Fig. 27 in the procedure described in the fourth embodiment. In other words, it is assumed that the determination unit 105 has generated items other than "recommended specification compliance status" in the modification value candidate table in Fig. 28. The determining unit 105 selects the correction value of the recommended specifications in the following procedure.

[0120] 1) The determination unit 105 determines the recommended specification compliance status for each correction value candidate data 702, that is, for each installation example. The determination unit 105 extracts the compliance status of the recommended specification from the specification compliance status data 601 in Fig. 12, and generates a column of "recommended specification compliance status". Here, it is assumed that the compliance status of the recommended specifications shown in FIG. 28 is obtained.

[0121] 2) Next, the determining unit 105 counts, for each correction value candidate, the number of times the equipment has been installed in compliance with the recommended specifications (hereinafter, referred to as the number of times of compliance). In the example of FIG. 28, the compliance count for 40 cm is "0". The compliance count for 30 cm is "2". The compliance count for 20 cm is "1". The compliance count for "none" is "3".

[0122] 3) Next, the determination unit 105 calculates, for each correction value candidate, the ratio of the number of times of compliance of the correction value candidate to the total number of times of compliance. In the example of FIG. 28, the percentage of compliance for 40 cm is "0 / 6". The percentage of compliance for 30 cm is "2 / 6". The percentage of compliance for 20 cm is "1 / 6". The percentage of compliance for "none" is "3 / 6".

[0123] 4) Next, the determining unit 105 accumulates the proportion of compliance counts of the correction value candidates in descending order, and selects the correction value candidate for which the accumulated value becomes equal to or greater than the threshold value for the first time, excluding "none," as the correction value for the recommended specification. In the example of FIG. 28, the determination unit 105 uses "0.4" as the threshold value. In the example of Fig. 28, the integrated value obtained by accumulating the percentage of 40 cm compliance, the percentage of 30 cm compliance, and the percentage of 20 cm compliance is (0 / 6+2 / 6+1 / 6)=3 / 6. In Fig. 28, the integrated value of the percentage of 40 cm compliance, the percentage of 30 cm compliance, and the percentage of 20 cm compliance is expressed as "integrated value of 20 cm percentage." In the example of Fig. 28, the "integrated value of 20 cm percentage" is above the threshold value for the first time. Therefore, the determining unit 105 selects 20 cm as the correction value of the recommended specifications.

[0124] 28, the determination unit 105 accumulates the proportion of compliance counts in descending order of the correction value candidates. Alternatively, the determination unit 105 may accumulate the proportion of compliance counts in ascending order of the correction value candidates, and select the correction value candidate whose accumulated value is equal to or greater than the threshold value for the first time as the correction value of the recommended specification. Furthermore, the determining unit 105 may select the modification value candidate having the greatest number of compliances among the modification value candidates, excluding the modification value candidate "none," as the modification value of the recommended specification.

[0125] In addition, in this embodiment, the determining unit 105 selects the correction value of the recommended specification, but it may select the correction value of the mandatory specification. The method in which the determining unit 105 selects the correction value of the mandatory specification is realized by replacing the "recommended specification" in the description of this embodiment with the "mandatory specification".

[0126] ***Description of the Effects of the Embodiment*** According to this embodiment, it is possible to reflect parameter values ​​desired by the maintenance company in the installation specifications, taking into account the compliance state of the installation example with the installation specifications.

[0127] Embodiment 6 In this embodiment, an example will be described in which the determining unit 105 selects the correction value of the recommended specifications using a method different from that in the fourth embodiment.

[0128] In this embodiment, differences from the fourth embodiment will be mainly described. It should be noted that matters not explained below are the same as those in the fourth embodiment. In the following, an indoor unit will be used as an example of equipment.

[0129] In this embodiment, differences from the fourth embodiment will be mainly described. It should be noted that matters not explained below are the same as those in the fourth embodiment. In the following, an indoor unit will be used as an example of equipment.

[0130] An example of the configuration of a data processing system 500 according to this embodiment is as shown in FIG. An example of the functional configuration of the data processing device 100 according to this embodiment is as shown in FIG. Moreover, examples of the operation of the data processing device 100 according to this embodiment are shown in FIGS.

[0131] In this embodiment, the method of selecting the correction value in step S326 in FIG. 26 is different from that in the fourth embodiment.

[0132] In this embodiment, the determining unit 105 reads out a plurality of correction value candidate data 702 from the acquired data storage unit . Furthermore, the determining unit 105 analyzes the correlation between the correction value candidates and the workload amount in a plurality of installation cases. Specifically, first, the determination unit 105 acquires the workload (work time) in the installation example associated with the correction value candidate data 702. That is, for each correction value candidate data 702, the determination unit 105 acquires the work time from the workload data 701 in which the same equipment ID as the equipment ID of the correction value candidate data 702 is set. Next, the determination unit 105 plots points corresponding to the relationship between the correction value candidate and the work time for each installation example on a two-dimensional graph. Furthermore, the determination unit 105 analyzes the correlation between the correction value candidate and the work time using the two-dimensional graph. Then, the determination unit 105 selects one of the multiple correction value candidates as a correction value for the recommended specification based on the analysis result. Specifically, the determination unit 105 selects the correction value candidate at a position where the correlation between the correction value candidate and the work time changes as the correction value for the recommended specification.

[0133] FIG. 29 shows an example of a two-dimensional graph showing the correlation between correction value candidates and work time. With reference to FIG. 29, a method for the determination unit 105 to select the correction value in step S326 will be described.

[0134] 29, the horizontal axis indicates correction value candidates, and the vertical axis indicates work time, which is the amount of work load. As described above, the determining unit 105 plots points corresponding to pairs of correction value candidates of the correction value candidate data 702 and task times of the workload data 701 for which the same equipment ID is set, on a two-dimensional graph. FIG. 29 shows the state where plotting by the determining unit 105 is completed. The determining unit 105 extracts a selection value candidate that is located at a position where the tendency of the correlation between the correction value candidate and the task time in the two-dimensional graph changes. Specifically, the determination unit 105 divides the area of ​​the two-dimensional graph into range A and range B. Then, in range A, the determination unit 105 sets an approximation line that approximates the distribution in range A. Similarly, in range B, the determination unit 105 sets an approximation line that approximates the distribution in range B. The determination unit 105 changes the boundary line between the ranges A and B and repeats the process of setting an approximation line between the ranges A and B. Then, the determining unit 105 selects the correction value candidate located on the border line where the absolute value of the ratio between the gradient of the approximation line in range A and the gradient of the approximation line in range B is maximum as the correction value of the recommended specifications.

[0135] In the above, an example has been described in which the determining unit 105 analyzes the correlation between the correction value candidates from the maintenance contractor terminal 700 and the work time, and selects the correction value for the recommended specifications. Alternatively, the determining unit 105 may analyze the correlation between the correction value candidates from the installer terminal 600 and the work time, and select the correction value for the recommended specifications. An example of the configuration of a data processing system 500 in such a case is shown in FIG.

[0136] In FIG. 30, an installer terminal 600 transmits specification compliance status data 604 and workload data 602 . As described above, the workload data 602 indicates, for each combination of a building ID and an equipment ID, the amount of time required for an installation contractor to install the equipment. In the data processing device 100, the specification compliance status data acquisition unit 107 receives the specification compliance status data 604. Also, the workload data acquisition unit 109 receives the workload data 602.

[0137] FIG. 31 shows an example of the specification compliance status data 604. In the specification compliance status data 604, the elements other than the performance values ​​are the same as the elements of the same names in the specification compliance status data 601 shown in FIG. The actual value is a value that was actually applied in the installation work of the equipment. The example of Fig. 31 indicates that the indoor unit was installed 60 cm away from the wall when it was installed by the installer. The determination unit 105 uses the actual value indicated in the specification compliance status data 604 as a correction value candidate. That is, the determining unit 105 plots points corresponding to pairs of performance values ​​of the specification compliance status data 604 and task times of the workload data 602 for which the same equipment ID is set, on a two-dimensional graph as exemplified in FIG. Then, the determining unit 105 selects the performance value at the position where the tendency of the correlation between the performance value and the operation time in the two-dimensional graph changes as the correction value of the recommended specification.

[0138] Furthermore, the determination unit 105 may select a correction value for the recommended specifications by analyzing the correlation between the correction value candidates from the maintenance company terminal 700 and the work time from the installer terminal 600. In this case, the determination unit 105 plots points corresponding to pairs of correction value candidates in the correction value candidate data 702 for which the same equipment ID is set and work time in the workload data 602 on a two-dimensional graph. Furthermore, the determination unit 105 may select a correction value for the recommended specifications by analyzing the correlation between the performance value from the installer terminal 600 and the work time from the maintenance company terminal 700. In this case, the determination unit 105 plots points corresponding to pairs of performance values ​​in the specification compliance status data 604 and work times in the workload data 701 for which the same equipment ID is set, on a two-dimensional graph.

[0139] In addition, in this embodiment, the determining unit 105 selects the correction value of the recommended specification, but it may select the correction value of the mandatory specification. The method in which the determining unit 105 selects the correction value of the mandatory specification is realized by replacing the "recommended specification" in the description of this embodiment with the "mandatory specification".

[0140] ***Description of the Effects of the Embodiment*** According to this embodiment, it is possible to select an appropriate correction value for the installation specifications based on the correlation between the workload in the installation work or maintenance work and correction value candidates derived from the installation work or maintenance work.

[0141] Although the first to sixth embodiments have been described above, two or more of these embodiments may be combined for implementation. Alternatively, one of these embodiments may be partially implemented. Alternatively, two or more of these embodiments may be partially combined and implemented. Furthermore, the configurations and procedures described in these embodiments may be modified as necessary.

[0142] ***Additional hardware configuration information*** Finally, a supplementary explanation of the hardware configuration of the data processing device 100 will be given. The processor 901 shown in FIG. 3 is an integrated circuit (IC) that performs processing. The processor 901 is a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or the like. The main storage device 902 shown in FIG. 3 is a RAM (Random Access Memory). The auxiliary storage device 903 shown in FIG. 3 is a ROM (Read Only Memory), a flash memory, a HDD (Hard Disk Drive), or the like. The communication device 904 shown in FIG. 3 is an electronic circuit that performs data communication processing. The communication device 904 is, for example, a communication chip or a NIC (Network Interface Card).

[0143] The auxiliary storage device 903 also stores an OS (Operating System). At least a part of the OS is executed by the processor 901 . The processor 901 executes at least a part of the OS and executes programs that realize the functions of the equipment BIM object acquisition unit 101, the building BIM data acquisition unit 103, the equipment BIM data acquisition unit 104, the judgment unit 105, and the output unit 106. The processor 901 executes the OS, which performs task management, memory management, file management, communication control, and the like. In addition, at least one of information, data, signal values, and variable values ​​indicating the results of processing by the facility BIM object acquisition unit 101, the building BIM data acquisition unit 103, the facility BIM data acquisition unit 104, the judgment unit 105, and the output unit 106 is stored in at least one of the main memory device 902, the auxiliary memory device 903, the register in the processor 901, and the cache memory. Furthermore, the programs realizing the functions of the facility BIM object acquisition unit 101, the architectural BIM data acquisition unit 103, the facility BIM data acquisition unit 104, the determination unit 105, and the output unit 106 may be stored in a portable recording medium such as a magnetic disk, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, a DVD, etc. Then, the portable recording medium storing the programs realizing the functions of the facility BIM object acquisition unit 101, the architectural BIM data acquisition unit 103, the facility BIM data acquisition unit 104, the determination unit 105, and the output unit 106 may be distributed.

[0144] In addition, the "part" in at least any of the equipment BIM object acquisition unit 101, the building BIM data acquisition unit 103, the equipment BIM data acquisition unit 104, the judgment unit 105, and the output unit 106 may be read as "circuit" or "process" or "procedure" or "processing" or "circuitry." The data processing device 100 may be realized by a processing circuit, for example, a logic integrated circuit (IC), a gate array (GA), an application specific integrated circuit (ASIC), or a field programmable gate array (FPGA). In this case, the facility BIM object acquisition unit 101, the building BIM data acquisition unit 103, the facility BIM data acquisition unit 104, the judgment unit 105 and the output unit 106 are each realized as part of a processing circuit. In this specification, the higher-level concept of a processor and a processing circuit is called "processing circuitry." That is, a processor and a processing circuit are each specific examples of "processing circuitry." [Explanation of symbols]

[0145] 100 data processing device, 101 equipment BIM object acquisition unit, 102 equipment BIM object storage unit, 103 architectural BIM data acquisition unit, 104 equipment BIM data acquisition unit, 105 judgment unit, 106 output unit, 107 specification compliance status data acquisition unit, 108 acquired data storage unit, 109 workload data acquisition unit, 110 correction value candidate data acquisition unit, 150 judgment result, 160 judgment result, 170 judgment result, 200 architectural designer terminal, 201 architectural BIM data, 300 equipment manufacturer terminal, 301 equipment BIM object, 400 equipment designer terminal, 401 equipment BIM data, 500 data processing system, 600 installation contractor terminal, 601 specification compliance status data, 602 workload data, 603 specification compliance status data, 604 specification compliance status data, 700 maintenance contractor terminal, 701 Workload data, 702 correction value candidate data, 901 processor, 902 main memory device, 903 auxiliary memory device, 904 communication device, 905 input / output device.

Claims

1. a specification compliance status data acquisition unit that acquires, for each of a plurality of installation examples of the equipment, specification compliance status data indicating whether the equipment has been installed in compliance with an installation specification that is a specification regarding the installation of the equipment; a workload data acquisition unit that acquires, for each of the plurality of installation cases, workload data indicating a workload required for either an installation operation of the equipment or a maintenance operation of the equipment after the installation; a determination unit that determines whether or not the installation specifications need to be modified by using the specification compliance status data and the workload data for the plurality of installation cases.

2. The determination unit is 2. A data processing device as described in claim 1, which determines whether the installation specifications contribute to reducing the workload by using either the total value or the average value of the workload in installation cases in which the equipment is installed in accordance with the installation specifications, and either the total value or the average value of the workload in installation cases in which the equipment is installed without complying with the installation specifications, thereby determining whether the installation specifications need to be modified.

3. The determination unit is 2. The data processing device according to claim 1, wherein the independence between the workload in an installation example in which the equipment is installed without complying with the installation specifications and the workload in an installation example in which the equipment is installed in compliance with the installation specifications is examined to determine whether or not the installation specifications need to be modified.

4. The installation specifications are defined by numerical values, The data processing device further comprises: a correction value candidate data acquisition unit that acquires a plurality of correction value candidate data in which candidates for the correction value of the installation specification are indicated as correction value candidates, The determination unit is 2 . The data processing device according to claim 1 , wherein, when it is determined that the installation specifications need to be modified, one of the multiple modification value candidates indicated in the multiple modification value candidate data is selected as a modification value for the installation specifications.

5. The determination unit is Counting the number of times each correction value candidate appears in the plurality of correction value candidate data; 5. The data processing device according to claim 4, further comprising: selecting one of the plurality of correction value candidates as the correction value for the installation specifications based on a counting result.

6. The correction value candidate data acquisition unit acquiring a plurality of correction value candidate data, each of which is associated with one of the plurality of installation cases; The determination unit is For each correction value candidate data, determine whether or not the equipment was installed in accordance with the installation specifications in the associated installation example; For each correction value candidate, count the number of times that the equipment was installed in compliance with the installation specifications in the associated installation case; 5. The data processing device according to claim 4, further comprising: selecting one of the plurality of correction value candidates as the correction value for the installation specifications based on a counting result.

7. The correction value candidate data acquisition unit acquiring a plurality of correction value candidate data, each of which is associated with one of the plurality of installation cases; The determination unit is 5. The data processing device according to claim 4, wherein, when it is determined that the installation specifications need to be modified, a correlation between the correction value candidates and the workload in the plurality of installation cases is analyzed, and based on a result of the analysis, one of the correction value candidates is selected as the correction value for the installation specifications from among the plurality of correction value candidates.

8. The computer acquires, for each of a plurality of installation cases of the equipment, specification compliance status data indicating whether the equipment has been installed in compliance with an installation specification, which is a specification regarding the installation of the equipment; The computer acquires, for each of the plurality of installation cases, workload data indicating a workload required for either an installation operation of the equipment or a maintenance operation of the equipment after the installation, A data processing method in which the computer determines whether or not the installation specifications need to be modified by using the specification compliance status data and the workload data for the multiple installation cases.

9. A specification compliance status data acquisition process for acquiring specification compliance status data for each installation example of a plurality of installation examples of the equipment, the specification compliance status data indicating whether the equipment has been installed in compliance with an installation specification, which is a specification regarding the installation of the equipment; a workload data acquisition process for acquiring, for each of the plurality of installation cases, workload data indicating a workload required for either an installation operation of the equipment or a maintenance operation of the equipment after the installation; and a determination process for determining whether or not the installation specifications need to be modified, using the specification compliance status data and the workload data for the plurality of installation cases.

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