CO2 Emission Calculation System and CO2 Emission Calculation Method
The CO₂ emission calculation system automates the tracking and emission calculation of construction machinery at construction sites by using imaging means to identify and log machinery movements, addressing the inefficiencies and practical challenges of existing methods.
Patent Information
- Application Number
- JP2021170487
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2021-10-18
- Publication Date
- 2025-06-10
- Estimated Expiration
- 2041-10-18
AI Technical Summary
Existing methods for calculating CO₂ emissions at construction sites are labor-intensive, prone to human error, and impractical for general contractors to implement, especially when dealing with varying types and numbers of heavy machinery across different stages of construction.
A CO₂ emission calculation system utilizing imaging means at entrance and exit gates of construction sites to automatically identify and track construction machinery, determining entry and exit events, and calculating CO₂ emissions based on the machinery's stay period or travel distance, without the need for attached measuring devices.
This system significantly reduces the human burden of investigating operating conditions, allows for comprehensive emission calculations across all work sites, and eliminates the need for measuring device installation, thereby facilitating accurate and efficient CO₂ emission calculations.
Smart Images

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Abstract
Description
Technical Field
[0001] The present invention relates to a CO₂ emission calculation system and a CO₂ emission calculation method for calculating the amount of carbon dioxide (CO₂) emissions generated at a construction site. 2 ₂ 2 ₂ 2 emission calculation method.
Background Art
[0002] In recent years, the demand for carbon neutrality has been increasing. Also in the construction field, in order to promote carbon neutrality efforts, it is necessary to accurately grasp the amount of carbon dioxide emissions generated at the construction site. Conventionally, on-site personnel have investigated the operating status of construction machinery such as heavy equipment and transport vehicles to calculate the amount of carbon dioxide emissions. In some cases, this investigation has been a sample survey over a predetermined period at some of the multiple work sites, and the amount of carbon dioxide emissions over the entire period at all work sites has been estimated. In addition, prior arts for calculating the amount of carbon dioxide emissions are disclosed in Patent Documents 1 and 2. Patent Document 1 discloses a technique for detecting the rotational speed of a diesel engine mounted on a management target device such as a heavy machine using a rotational speed sensor and measuring the amount of exhaust gas emissions. Also, Patent Document 2 discloses a technique for calculating the instantaneous fuel consumption using a fuel consumption meter provided on a machine such as an excavator.
Prior Art Documents
Patent Documents
[0003]
Patent Document 1
Patent Document 2
Summary of the Invention
Problems to be Solved by the Invention
[0004] However, investigating the operating conditions requires a great deal of effort and time, imposing a heavy human burden. Even if the target area and target period are limited through sample surveys, the reduction of the human burden is not sufficient. Furthermore, depending on the type of construction work (such as building construction, tunnel construction, dam construction, etc.), the types and numbers of heavy machinery used vary greatly. Also, even for the same construction work, the types and numbers of heavy machinery used at each stage of the construction work may vary significantly. Due to these circumstances, depending on the selection of the target area and target period through sample surveys, there is a risk that the estimated values of carbon dioxide emissions will vary greatly. In addition, in the technologies of Patent Documents 1 and 2, it is necessary to install or connect predetermined measuring devices to construction machinery. However, it is practically difficult for a general contractor who is not the owner of the construction machinery to attach measuring devices to the construction machinery of each subcontractor. Also, considering that an unspecified number of construction machinery enter and leave the site, attaching measuring devices is not a practical method. From such a perspective, an object of the present invention is to propose a 2 carbon dioxide 2 emission calculation system and a carbon dioxide emission calculation method.
[0005] To solve the above problems, the present invention provides a carbon dioxide 2 emission calculation system including imaging means disposed at the entrance and exit gates of a construction site, and calculation means for identifying construction machinery from an image captured by the imaging means, wherein the calculation means includes a determination unit for determining the entry and exit of the construction machinery based on the image of the construction machinery, and a calculation unit for calculating the carbon dioxide emission amount of the construction machinery based on the result of the determination. 2 emission calculation system. Also, the present invention provides a carbon dioxide 2 emission calculation method in which a computer executes a step of determining the entry and exit of construction machinery based on an image of the construction machinery captured by imaging means disposed at the entrance and exit gates of a construction site, and a step of calculating the carbon dioxide emission amount of the construction machinery based on the result of the determination. According to such a configuration, since the determination unit automatically determines the entry and exit of the construction machine from the image of the photographing means, there is almost no human burden on the investigation of the operating status of the construction machine. Further, if the photographing means is always in operation, it becomes easy to investigate the entire period of all workplaces of the construction work. Further, since it is only necessary to make a determination based on an image, there is no need to attach a measuring device to the construction machine. Therefore, the carbon dioxide emission amount of each construction machine can be easily calculated.
[0006] Further, it is preferable that the construction machine is a heavy machine, the determination unit specifies the stay period of the heavy machine at the construction site, and the calculation unit calculates the carbon dioxide emission amount of the heavy machine based on the specified stay period. Since the heavy machines staying at the construction site operate according to the construction plan, for example, the power consumption and fuel consumption of the heavy machines per day can be grasped in advance. Therefore, by using the fuel consumption and carbon dioxide emission coefficient of the heavy machine that can be known in advance, the carbon dioxide emission amount of the heavy machine per day can be calculated. As a result, by the determination unit specifying the stay period of the heavy machine at the construction site, the calculation unit can easily calculate the carbon dioxide emission amount of the heavy machine operating at the construction site.
[0007] Further, it is preferable that the determination unit specifies the number of stay days as the stay period, and the calculation unit calculates the total amount of the carbon dioxide emission amount of the heavy machine based on the number of stay days and the average carbon dioxide emission amount for each type of the heavy machine. According to such a configuration, the carbon dioxide emission amount of all types of heavy machines operating at the construction site can be surely calculated.
Effect of the Invention
[0008] According to the present invention, the carbon dioxide emission amount generated at the construction site can be calculated.
Brief Description of the Drawings
[0009]
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Embodiments for Carrying Out the Invention
[0010] Hereinafter, embodiments for carrying out the present invention will be described in detail with appropriate reference to the drawings. Each figure only schematically shows to the extent that the present invention can be sufficiently understood. Therefore, the present invention is not limited only to the illustrated examples. In each figure, common components and similar components are denoted by the same reference numerals, and their overlapping descriptions are omitted.
[0011] [Configuration] Figure 1 is a functional configuration diagram of the CO 2 emission calculation system of the present embodiment. The CO 2 emission calculation system 100 is a system that calculates the emission amount of carbon dioxide emitted by construction machines involved in construction work. The CO 2 emission calculation system 100 includes a processing device 1 and a camera 2. The processing device 1 is a computer that performs predetermined arithmetic processing on the input data. The camera 2 is a device that photographs a predetermined subject. The processing device 1 can identify a construction machine from the image taken by the camera 2. Figure 2 is an explanatory diagram of the state of a construction machine entering a construction site. Figure 3 is an explanatory diagram (part 1) of an image taken by the camera. The camera 2 is disposed at the entrance / exit gate 3 of the construction site and can photograph the heavy machine 4 as a construction machine passing through the entrance / exit gate 3. The installation position of the camera 2 can be changed as appropriate, but it is preferably a position where a construction machine passing through the entrance / exit gate 3 can be photographed.
[0012] The processing device 1 and the camera 2 are connected so as to be capable of wireless communication with each other, but may also be connected so as to be capable of wired communication. The processing device 1 includes hardware such as an input unit, an output unit, a control unit, and a storage unit. For example, when the control unit is composed of a CPU (Central Processing Unit), information processing by a computer including the control unit is realized by program execution processing by the CPU. Further, the storage unit included in the computer stores various programs for realizing the functions of the computer according to instructions from the CPU. Thereby, cooperation between software and hardware is realized. The program can be provided by being recorded on a recording medium or via a network.
[0013] The processing device 1 includes a determination unit 11 and a calculation unit 12. Further, the processing device 1 stores a construction plan DB 13, a construction machine DB 14, and an entry / exit DB 15. Note that DB is an abbreviation for database. The determination unit 11 determines the entry / exit of the construction machine based on an image of the construction machine captured by the camera 2. The calculation unit 12 calculates the carbon dioxide emission amount of the construction machine based on the result of the determination by the determination unit 11. The construction plan DB 13 includes construction plan information indicating the plan of the construction work performed at the construction site. The construction plan information includes, for example, the work schedule of the construction work, the work process of the construction work, the type of construction machine used in each work process, and when the construction machine is a transport vehicle, information such as the transport destination (destination) of earth and sand, etc. by the transport vehicle, etc., but is not limited thereto. When the unloading destination is determined, the transport route connecting the construction site and the unloading destination is determined. The transport route may be included in the construction plan information. The processing device 1 can acquire the construction plan information from, for example, an external system (not shown) connected to be communicable with the processing device 1. The construction machine DB 14 includes construction machine information indicating the construction machines involved in the construction work. The construction machine information includes, for example, the type of construction machine (e.g., heavy machinery such as hydraulic excavators, bulldozers, cranes, transport vehicles such as dump trucks), the fuel consumption (average value) of the construction machine, the CO of the construction machine 2It includes, but is not limited to, information such as the discharge coefficient (average value). The processing device 1 can acquire construction machine information from, for example, an external system (not shown) that is communicably connected to the processing device 1. The entry / exit DB 15 includes entry / exit information indicating the history of a construction machine passing through the entry / exit gate 3 and entering or leaving the construction site. The entry / exit information includes, but is not limited to, information such as the type of construction machine, an entry flag indicating entry into the construction site, an exit flag indicating exit from the construction site, and the date and time of entry / exit, associated with each other. The processing device 1 can acquire the entry / exit information, for example, based on the determination by the determination unit 11.
[0014] (Determination of entry / exit of construction machine, determination of type) The determination unit 11 can, for example, track the construction machine that is the subject in the captured image of the camera 2 to determine entry / exit. As shown in FIG. 3, when the camera 2 captures the entry / exit gate 3, the inside of the construction site, and the outside of the construction site (general road), the determination unit 11 prepares the gate upper surface 5 that overlaps the entry / exit gate 3 on the captured image. At this time, in the captured image, the left side of the gate upper surface 5 is defined as "outside the construction site", and the right side of the gate upper surface 5 is defined as "inside the construction site". Also, when the heavy machine 4 crosses the gate upper surface 5 from outside the construction site toward the inside of the construction site, it can be defined as "entry", and when the heavy machine 4 crosses the gate upper surface 5 from inside the construction site toward the outside of the construction site, it can be defined as "exit". The determination unit 11 can detect a construction machine from the captured image of the camera 2 using, for example, object detection technology. The detection of the construction machine may be performed on a still image or a moving image. In the case of a moving image, the construction machine can be detected for each frame. As shown in FIG. 3, when the determination unit 11 detects the heavy machine 4, it can generate a bounding box 6 that surrounds the heavy machine 4. The bounding box 6 can be generated for each frame. Further, the determination unit 11 can obtain the center coordinates of the bounding box 6 and generate a tracking line 7 by connecting the center coordinates for each frame. The tracking line 7 enables the tracking of the heavy machine 4. When the tracking line 7 crosses the gate line segment 5 from outside the construction site into the construction site, the determination unit 11 can determine that the heavy machine 4 has entered the site. Also, when the tracking line 7 crosses the gate line segment 5 from inside the construction site to outside the construction site, the determination unit 11 can determine that the heavy machine 4 has left the site. The method for determining the entry and exit of the construction machine is not limited to the above. FIG. 4 is an explanatory diagram (part 2) of the image captured by the camera. As shown in FIG. 4, when the camera 2 captures the entry / exit gate 3, the inside of the construction site, and the outside of the construction site (general road), the determination unit 11 prepares a gate vector 8 that overlaps with the entry / exit gate 3 on the captured image. The direction of the gate vector 8 is the extending direction of the entry / exit gate 3, and for convenience, as shown in FIG. 4, it is set to the diagonally upward direction (the reverse direction is also possible). The definitions of "outside the construction site" and "inside the construction site" are as already explained, but for the convenience of illustration, the illustration of the upper surface 5 of the gate in FIG. 4 is omitted. Also, as shown in FIG. 4, the determination unit 11 prepares a movement vector 9 on the captured image that indicates the movement of the heavy machine 4 passing through the entry / exit gate 3. The movement vector 9 is obtained, for example, by the determination unit 11 specifying the difference in the positions of the images of the heavy machine 4 in two frames. The determination unit 11 determines whether the gate vector 8 and the movement vector 9 intersect. When it is determined that they intersect, the determination unit 11 calculates the cross product (vector product, outer product) of the gate vector 8 and the movement vector 9. The determination unit 11 can determine the entry and exit of the heavy machine 4 from the direction of the calculated cross product (vector) (the normal direction of the two-dimensional image). When the sign of the cross product is positive (+), the determination unit 11 can determine that the heavy machine 4 has entered. Also, when the sign of the cross product is negative (-), the determination unit 11 can determine that the heavy machine 4 has exited.
[0015] Also, the determination unit 11 can determine the type of construction machine that enters and exits using, for example, AI (Artificial Intelligence). Specifically, the system developer prepares a learning device (trained model) that takes the image data of the construction machine as input and outputs a value that defines the type of the construction machine. The input image data can be prepared for each type of construction machine. Also, the input image data can be prepared for each direction that captures the appearance of the construction machine, or for each posture presented by the construction machine (when the construction machine is a crane, the posture when the boom is folded, the posture when it is standing upright, etc.). In the learning stage of machine learning, the correspondence between the input and the output is memorized in the learning device. In the usage stage of machine learning, the determination unit 11 can detect the construction machine using the object detection technology described above. The determination unit 11 can determine the type of the detected construction machine by inputting the image data of the construction machine into the learning device. Also, as described above, the determination unit 11 can determine the entry and exit of the construction machine. The determination unit 11 can generate entry / exit information according to the determination result and update the entry / exit DB 15.
[0016] (Calculation of Carbon Dioxide Emissions [1] - In the Case of Heavy Machines) Each construction machine works according to the construction plan information in the construction plan DB 13. When the construction machine is a heavy machine, the operating time per day of the heavy machine is determined. Also, the source of carbon dioxide generated by the heavy machine is fuel consumption associated with construction work. Therefore, the amount of carbon dioxide emissions per heavy machine (CO 2The emission amount can be calculated based on the number of days of stay at the construction site. Specifically, the calculation unit 12 can calculate using the following formula 1. CO 2 Emission amount (kg-CO 2 ) = Number of days of stay × Fuel consumption (L / day) × CO 2 Emission coefficient (kg-CO 2 / L) ···Formula 1 Here, the fuel consumption (L / day) and the CO 2 emission coefficient (kg-CO 2 / L) can be determined according to the type of heavy machinery or the mechanical performance of the heavy machinery, and are included in the construction machinery information of the construction machinery DB14. Fuel consumption (L / day) × CO 2 Emission coefficient (kg-CO 2 / L) corresponds to the average carbon dioxide emission amount of the heavy machinery of the target type. The calculation unit 12 can obtain the fuel consumption (L / day) and the CO 2 emission coefficient (kg-CO 2 / L) from the construction machinery information. Also, the number of days of stay can be specified by the determination unit 11 referring to the entry / exit information of the entry / exit DB15 and determining the entry and exit of the heavy machinery of the target type. The calculation unit 12 can calculate the total amount of carbon dioxide emissions over the entire period of the construction work by applying Formula 1 to all the heavy machinery involved in the construction work.
[0017] Note that in order to specify the number of days of stay, it is originally necessary to identify each of a plurality of heavy machinery of the same type when the heavy machinery is determined by the determination unit 11. Generally, since a plurality of heavy machinery of the same type enter and exit the construction site at arbitrary timings, there may be a plurality of heavy machinery of the same type whose stay periods at the construction site coincide or partially overlap. In this case, it is not easy to identify each of the heavy machinery based on the determination only using the captured images of the camera 2. However, regarding the calculation of the carbon dioxide emission amount, it is not necessary to identify each of a plurality of heavy machinery of the same type. According to the entry / exit information of the entry / exit DB15, the number of heavy machinery of the target type staying at the construction site each day (the difference between the number of entry machines and the number of exit machines each day) can be obtained. Therefore, the calculation unit 12 calculates the carbon dioxide emission amount (CO 2 emission amount) per day of the heavy machinery of the target type as CO 2 Emission amount (kg-CO 2 ) = Number of staying units × Fuel consumption (L / day) × CO 2 emission coefficient (kg-CO 2 / L) ··· Equation 2 It can be calculated as follows. The calculation unit 12 can calculate the total amount of carbon dioxide emissions by integrating the calculated emission amounts over the entire period of the construction work. Also, the calculation unit 12 may integrate over a partial period (e.g., one month) instead of the entire period of the construction work to calculate the carbon dioxide emission amount for the partial period. Further, the calculation unit 12 can calculate the total amount of carbon dioxide emissions over the entire period by calculating the carbon dioxide emission amounts for the partial periods with the periods shifted sequentially and then adding up all the calculation results. The determination unit 11 of the present embodiment determines the type of heavy equipment from the image of the camera 2, but does not identify each of a plurality of heavy equipment of the same type. By such processing, the management burden of construction machinery based on image recognition can be reduced.
[0018] (Calculation of Carbon Dioxide Emission Amount [2] - In the Case of a Transport Vehicle) When the construction machinery is a transport vehicle, the transport vehicle also operates according to the construction plan information in the construction plan DB13 in the same manner as the heavy equipment. The transport vehicle has a determined destination and transport route when carrying out transported materials such as earth and sand and waste out of the construction site. Also, the source of carbon dioxide generation by the transport vehicle is fuel consumption associated with the transport operation. Therefore, the carbon dioxide emission amount (CO 2 emission amount) per transport vehicle can be calculated based on the travel distance for a round trip between the construction site and the destination. Specifically, the calculation unit 12 can calculate using the following Equation 3. CO 2 Emission amount (kg-CO 2 ) = Travel distance (km) × Fuel consumption (L / km) × CO 2 emission coefficient (kg-CO 2 / L) ··· Equation 3 Here, the fuel consumption (L / km) and the CO 2 emission coefficient (kg-CO 2 / L) can be determined according to the type of transport vehicle or the mechanical performance of the transport vehicle, and is included in the construction machinery information of the construction machinery DB14. 2 Emission factor (kg-CO 2 / L) corresponds to the average carbon dioxide emission of the target type of transport vehicle. The calculation unit 12 calculates the fuel efficiency (L / km) and CO 2 Emission factor (kg-CO 2 / L) can be acquired from the construction machinery information. In addition, the determination unit 11 can specify the travel distance (km) by referring to the entry / exit information in the entry / exit DB 15 and determining the entry and exit of the target type of transport vehicle. The calculation unit 12 can calculate the total amount of carbon dioxide emissions over the entire period of the construction work by applying Equation 3 to all transport vehicles involved in the construction work.
[0019] In order to specify the travel distance, it is essentially necessary to identify each of the multiple transport vehicles of the same type when the determination unit 11 determines the transport vehicle. Generally, multiple transport vehicles of the same type enter and exit the construction site at any time and make multiple round trips between the construction site and the destination, so there may be multiple transport vehicles of the same type that have left the construction site and are in the process of being transported. In this case, it is not easy to identify each of the transport vehicles by determination based only on the images captured by the camera 2. However, in terms of calculating the carbon dioxide emission amount, it is not necessary to identify each of the multiple transport vehicles of the same type. According to the entry / exit information in the entry / exit DB 15, the number of exits each day of a transport vehicle that leaves the construction site can be obtained. Therefore, the calculation unit 12 calculates the daily carbon dioxide emission amount (CO 2 emissions) CO 2 Emissions (kg-CO 2 ) = Number of exits × Transport route distance (km) × 2 × Fuel consumption (L / km) × CO 2 Emission factor (kg-CO 2 / L) ...Formula 4 It can be calculated. Since the disposal destination of earth and sand is included in the construction plan information of the construction plan DB13, the transportation route distance (km) can be determined from the construction plan information of the construction plan DB13. "Transportation route distance (km) × 2" is the running distance (round trip) for one-time disposal of earth and sand. The calculation unit 12 can calculate the total amount of carbon dioxide emissions by accumulating the calculated emissions over the entire period of the construction work. Further, the calculation unit 12 may accumulate over a partial period (e.g., one month) instead of the entire period of the construction work and calculate the carbon dioxide emissions for the partial period. Also, the calculation unit 12 can calculate the total amount of carbon dioxide emissions over the entire period by calculating the carbon dioxide emissions for the partial period while sequentially shifting the period and then adding up all the calculation results. The determination unit 11 of the present embodiment determines the type of the transport vehicle from the image of the camera 2, but does not identify each of a plurality of transport vehicles of the same type. By such processing, the management burden of construction machinery based on image recognition can be reduced.
[0020] (Possibility of individual identification of construction machinery) For example, even if a plurality of target construction machines are of the same type, when a predetermined condition is satisfied, the determination unit 11 can individually identify the construction machines only from the captured image of the camera 2 by an object detection technique. For example, the predetermined condition is that the colors of a plurality of construction machines of the same type are different and the number of target construction machines is small. Individual identification is difficult when the number of detection targets is an unspecified large number as in the case of analyzing the flow of people at an intersection, but regarding a construction site, the number of construction machines of each type entering and leaving is at most several, and there is a high possibility that an object detection technique can be applied.
[0021] When a plurality of construction machines of the same type but different colors are photographed by camera 2, the determination unit 11 cuts out each partial image of the construction machines using a bounding box, and in each of the cut-out partial images, extracts and compares histograms, feature points, etc., so as to be able to identify each of the construction machines of the same type. For example, when a red first crane and a blue second crane enter a construction site, the determination unit 11 extracts a first histogram of the partial image of the first crane and a second histogram of the partial image of the second crane. Thereafter, when the camera 2 photographs the crane leaving the site, the determination unit 11 extracts a third histogram of the partial image of the crane leaving the site, compares the third histogram with each of the first and second histograms, and calculates first and second similarity degrees. The determination unit 11 can determine that the crane with the greater similarity degree among the first and second similarity degrees is the crane leaving the site. Note that the accuracy of the determination described above varies due to, for example, the similarity of the types or colors of the construction machines even if they are of the same type. The calculation unit 12 can calculate the carbon dioxide emission amount using Expression 1 for the heavy machinery that can be individually identified by the determination unit 11, and can calculate the carbon dioxide emission amount using Expression 2 for the heavy machinery that cannot be individually identified. Further, the calculation unit 12 can calculate the carbon dioxide emission amount using Expression 3 for the transport vehicles that can be individually identified by the determination unit 11, and can calculate the carbon dioxide emission amount using Expression 4 for the transport vehicles that cannot be individually identified.
[0022] [Processing] (Determination Processing) The processing performed by the processing apparatus 1 of the present embodiment will be described. The processing performed by the processing apparatus 1 is determination processing, first aggregation processing, and second aggregation processing, and each processing will be described below. FIG. 5 is a flowchart of the determination process. For example, the determination process starts with respect to the image data for one day captured by the camera 2 after the work of one day is completed. First, the determination unit 11 determines the entry and exit of the construction machine displayed in the captured image of the camera 2 (step A1). Specifically, the determination unit 11 uses an object detection technique to detect and track the construction machine passing through the entry / exit gate 3, thereby determining the entry or exit. Either the entry flag indicating entry or the exit flag indicating exit, and the date and time of entry or exit are updated and registered in the entry / exit information of the entry / exit DB 15. Next, the determination unit 11 determines the type of the detected construction machine using a learning device (step S2). The determined type of the construction machine is updated and registered in the entry / exit information. The determination process of FIG. 5 is performed for all the construction machines displayed in the image data for one day as the target. Also, the determination process of FIG. 5 is repeated for the entire period of the construction work.
[0023] (First Aggregation Process) FIG. 6 is a flowchart of the first aggregation process. The first aggregation process is performed for the construction machines determined as heavy machines, and for example, it starts with respect to the entry / exit information for one month. First, the calculation unit 12 executes loop processing of steps B1 to B4 for each type of heavy machine. In the loop processing, the calculation unit 12 specifies the stay days of the heavy machine (step B2). Specifically, the calculation unit 12 reads the entry timing and exit timing of the target heavy machine by referring to the entry / exit information of the entry / exit DB 15, and can specify the stay days by specifying the interval between both timings. Next, the calculation unit 12 calculates the carbon dioxide emission amount of the heavy machine (step B3). Specifically, the calculation unit 12 refers to the construction machine information of the construction machine DB 14 to obtain the fuel consumption and CO 2 emission coefficient of the target heavy machine. Also, the calculation unit 12 can calculate the CO 2 emission amount of the target heavy machine by using Equation 1. When there are multiple heavy machines of the same type, steps B2 and B3 are repeated for each of the heavy machines of the same type to calculate the CO 2 emission amount. Note that when each of the multiple types of heavy machines of the same type cannot be identified, Equation 2 is used to calculate the CO 2The discharge amount can be calculated. As a result, the carbon dioxide discharge amount for each type of heavy equipment can be calculated through loop processing. Next, the calculation unit 12 calculates the total amount of carbon dioxide discharge by adding up the carbon dioxide discharge amounts of the heavy equipment for each type (step B4). Also, by repeatedly applying the first aggregation process in FIG. 6 to other uncalculated periods during the entire construction period, the total amount of carbon dioxide discharged during the entire construction period can be calculated.
[0024] (Second Aggregation Process) FIG. 7 is a flowchart of the second aggregation process. The second aggregation process is performed on the construction machinery determined to be a transport vehicle and starts, for example, targeting the entry / exit information for one month. First, the calculation unit 12 executes loop processing of steps C1 to C4 for each type of transport vehicle. In the loop processing, the calculation unit 12 identifies the travel distance of the transport vehicle (step C2). Specifically, the calculation unit 12 reads the entry timing and exit timing of the target transport vehicle by referring to the entry / exit information in the entry / exit DB 15, and can identify the travel distance by identifying the number of round trips based on both timings. Next, the calculation unit 12 calculates the carbon dioxide discharge amount of the transport vehicle (step C3). Specifically, the calculation unit 12 refers to the construction machinery information in the construction machinery DB 14 to obtain the fuel consumption and CO 2 emission coefficient of the target transport vehicle. Also, the calculation unit 12 can calculate the CO 2 discharge amount of the target transport vehicle by using Equation 3. When there are multiple transport vehicles of the same type, steps C2 and C3 are repeated for each of the transport vehicles of the same type to calculate the CO 2 discharge amount. In addition, when each of multiple types of transport vehicles of the same type cannot be identified, the CO 2 discharge amount can be calculated by using Equation 4. As a result, the carbon dioxide discharge amount for each type of transport vehicle can be calculated through loop processing. Next, the calculation unit 12 calculates the total amount of carbon dioxide discharge by adding up the carbon dioxide discharge amounts of the transport vehicles for each type (step C4). Also, by repeatedly applying the second aggregation process in FIG. 7 to other uncalculated periods during the entire construction period, the total amount of carbon dioxide discharged during the entire construction period can be calculated.
[0025] According to this embodiment, since the determination unit 11 automatically determines the entry and exit of the construction machine from the image of the camera 2, there is almost no human burden on the investigation of the operating status of the construction machine. Also, if the camera 2 operates constantly, it becomes easy to investigate the entire period of all work sites of the construction work. Further, since it is only necessary to make a determination based on an image, there is no need to attach measuring equipment to the construction machine. Therefore, the carbon dioxide emission amount of each construction machine can be easily calculated. In particular, when the construction machine is a heavy machine, by specifying the stay period (such as the number of staying days) of the heavy machine, the calculation unit 12 can easily calculate the carbon dioxide emission amount of the heavy machine operating at the construction site. Also, based on the number of staying days and the average carbon dioxide emission amount for each type of heavy machine, by calculating the total amount of carbon dioxide emissions of the heavy machine, the carbon dioxide emission amount of all types of heavy machines operating at the construction site can be surely calculated. Also, when the construction machine is a transport vehicle, by specifying the travel distance of the transport vehicle, the calculation unit 12 can easily calculate the carbon dioxide emission amount of the transport vehicle that has traveled back and forth between the construction site and the unloading destination.
[0026] [Other Embodiments] When the construction machine is a transport vehicle, the carbon dioxide emission amount of the transport vehicle may be calculated by individually identifying and managing the transport vehicles. Specifically, a board with an identification label for identifying the transport vehicle itself is prepared for each of the operating vehicles. It is preferable to arrange the board at an appropriate position (such as the dashboard of the transport vehicle) so that the camera 2 can read the identification label when the operating vehicle passes through the entry / exit gate 3. The identification label may be, for example, a barcode, a color barcode, a QR code (registered trademark), an AR (Augmented Reality) marker, but is not limited thereto. The identification label can have information on the identification number for individually identifying the transport vehicle. Also, the identification label may have information such as the unloading destination (destination) and travel distance of the transport vehicle. When a transport vehicle with an identification label passes through the entrance / exit gate 3, when the camera 2 photographs the transport vehicle, it can read the identification label attached to the board of the transport vehicle and obtain information such as the identification number and the travel distance. The determination unit 11 not only determines the type of the transport vehicle and the entrance / exit, but can also individually identify the transport vehicle and grasp the travel distance. Therefore, the calculation unit 12 can obtain the actual travel distance of the identified transport vehicle and calculate the CO 2 emission amount.
[0027] In the waste soil treatment by a dump truck, the dump truck makes multiple round trips between the construction site and the unloading destination in one day's work. The travel distance of the dump truck is usually determined based on the round trips between the construction site and the unloading destination. However, since the dump truck that performs the last earth and sand unloading in a day basically does not return to the construction site, there is an idea that the return travel distance is not counted for the last unloading. When following such an idea, if the transport vehicles are individually identified and managed, the total travel distance of the plurality of target dump trucks can be obtained more accurately. As a result, the total amount of carbon dioxide emissions can be obtained more accurately.
[0028] For example, the case where 5 dump trucks make 3 round trips with a one-way travel distance of 10 km will be described. When the determination unit 11 makes an entrance / exit determination without individually identifying the 5 dump trucks, the total travel distance of the 5 dump trucks is calculated as (3 unloads × 5 trucks × 2 - 1) × 10 km = 290 km. Since it is unknown which of the 5 dump trucks performs the last unloading, the process of not counting the return travel distance can only be applied to 1 dump truck that is the last to unload. On the other hand, by giving identification labels to the 5 dump trucks, when the determination unit 11 individually identifies the 5 dump trucks and makes an entrance / exit determination, the total travel distance of the 5 dump trucks is calculated as (3 unloads × 2 - 1) × 5 trucks × 10 km = 250 km. Since the determination unit 11 can identify each of the 5 dump trucks, it can specify the last unloading of each of the 5 dump trucks. Therefore, the process of not counting the return travel distance can be applied to each of the 5 dump trucks. According to the above, when the construction machine is a transport vehicle having an identification mark, the determination unit 11 can individually identify and manage the transport vehicle, so that it conforms to the idea that the round-trip travel distance is not counted for the last unloading, and the total travel distance of a plurality of target transport vehicles can be obtained more accurately.
[0029] [Relationship with Claims] The processing device 1 is a specific example of the "calculation means" described in the claims. The camera 2 is a specific example of the "imaging means" described in the claims. The heavy machine 4 and the transport vehicle are specific examples of the "construction machine" described in the claims.
[0030] [Modification Example] (a): The determination unit 11 can determine the entry and exit of the construction machine by machine learning. Specifically, the system developer annotates the image of the construction machine exiting the entry / exit gate 3 among the images captured by the camera 2 with "exit", and annotates the image of the construction machine entering the entry / exit gate 3 with "entry". In addition, the system developer prepares a learning device that reads in the images with the above annotations in an image group with the direction and posture of capturing the appearance of the construction machine appropriately changed. The determination unit 11 can determine the entry and exit of the construction machine detected from the camera 2 using the prepared learning device. (b): The present invention can be applied even when there are a plurality of entry / exit gates at one construction site. In this case, it is preferable to make a design change so that the identifier of the entry / exit gate is included in the entry / exit information of the entry / exit DB 15. By such a design change, it is possible to specify the entry / exit gate through which the construction machine enters or the entry / exit gate through which it exits. (c): When the construction machine is a transport vehicle, the present invention can be applied even if there are multiple destinations for the transport vehicle. In this case, it is preferable to make a design change so that the construction plan information in the construction plan DB 13 includes multiple unloading destinations (destinations) of the transport vehicle, or includes a transport route taking into account the order of the unloading destinations. Once the transport route is determined, the travel distance of the transport vehicle is determined, and the carbon dioxide emission amount of the transport vehicle can be calculated by Equations 3 and 4.
[0031] (d): It is also possible to realize a technology that appropriately combines various technologies described in this embodiment. (e): The software described in this embodiment can also be realized as hardware, and the hardware can also be realized as software. (f): In addition, regarding the components of the present invention, appropriate changes can be made without departing from the gist of the present invention.
Explanation of Reference Numerals
[0032] 100 CO 2 Emission Amount Calculation System 1 Processing Device (Calculation Means) 11 Judgment Unit 12 Calculation Unit 13 Construction Plan DB 14 Construction Machine DB 15 Entrance / Exit DB 2 Camera (Photographing Means) 3 Entrance / Exit Gate 4 Heavy Machine (Construction Machine)
Claims
1. A CO emission calculation system comprising photographing means disposed at the entrance and exit gates of a construction site, and calculation means for identifying construction machinery from an image photographed by the photographing means. 2 It is an emission calculation system, The calculation means includes a determination unit that determines the entry and exit of the construction machine based on an image of the construction machine, and a calculation unit that calculates the carbon dioxide emission amount of the construction machine based on the result of the determination, when the construction machine is a heavy machine, the determination unit determines the entry and exit of the heavy machine based on an image of the heavy machine, thereby specifying the number of days the heavy machine stays at the construction site and determining the type of the heavy machine, The calculation unit calculates the total amount of carbon dioxide emissions of the heavy machinery based on the specified number of days of stay and the average carbon dioxide emissions for each type of heavy machinery. CO 2 emission calculation system.
2. A computer executes a determination step of determining the entry and exit of the construction machine based on an image of the construction machine captured by imaging means disposed at the entry and exit gate of the construction site, and a calculation step of calculating the carbon dioxide emission amount of the construction machine based on the result of the determination, when the construction machine is a heavy machine, in the determination step, by determining the entry and exit of the heavy machine based on an image of the heavy machine, the number of days the heavy machine stays at the construction site is specified and the type of the heavy machine is determined, In the calculation step, based on the specified number of stay days and the average carbon dioxide emission amount for each type of heavy machinery, calculate the total amount of carbon dioxide emissions of the heavy machinery. CO 2 Emission amount calculation method.
Citation Information
Patent Citations
Exhaust gas control system, method, and information storage medium
JP2001227397A
Method for calculating emission of carbon dioxide in construction work
JP2007018061A
Facility control system and facility control device
JP2007107871A
Support system for reducing energy consumption of construction work
JP2012059105A
Moving object tracking device
JP2020098590A