LU503938B1 - Carbon emission measurement method, device and equipment applied to large construction machine - Google Patents

Abstract

The embodiment of the invention provides carbon emission measurement method, device, equipment and computer-readable storage medium applied to large construction machine. The method comprises the following steps: acquiring vibration frequency and amplitude acquired by a vibration sensor and acceleration data acquired by an acceleration sensor; filtering the vibration data to obtain target vibration data; inputting the target vibration data and the acceleration data into an action discrimination model to determine the action of the current machine; comparing the action of the current machine with a database to calculate the carbon emission value of the current machine; the database includes the corresponding relationship between machine actions and machine carbon emissions. In this way, the accurate measurement of carbon emission of large construction machines is realized.

Description

DESCRIPTION LU503938

CARBON EMISSION MEASUREMENT METHOD, DEVICE AND EQUIPMENT

APPLIED TO LARGE CONSTRUCTION MACHINE

TECHNICAL FIELD

The embodiment of the invention relates to the field of carbon emission measurement, in particular to a carbon emission measurement method, device, equipment and computer-readable storage device applied to large construction machine.

BACKGROUND

With the continuous upgrading of the construction industry and the implementation of the national double carbon policy, the carbon emission of the construction industry has gradually entered people's field of vision. As one of the important tools and components of on-site construction, the relationship between energy consumption and carbon emission of large-scale construction machinery is bound to require more refined measurement methods.

At present, the carbon emissions of large-scale construction machines are usually calculated by machine-shift. As far as the current situation is concerned, the machine-shift still relies on people to fill in the data, which cannot ensure the accuracy of the data.

At present, the vehicle emission monitoring devices and methods used by conventional small vehicles mainly rely on on-board emission measurement system (OBS) and on-board diagnostics (OBD) to compare the instantaneous fuel consumption of OBS and OBD, and then convert the instantaneous fuel consumption of OBD into carbon dioxide emissions according to the relationship between fuel consumption and carbon dioxide and the relationship between fuel consumption. However, most construction machines are not compatible with OBS and OBD systems, that is, it is impossible to use the conventional methods of such domestic vehicles to calculaté/503938 carbon emissions.

Due to the influence of the construction environment, the method of video surveillance + license plate recognition is not applicable to the calculation of carbon emissions of construction vehicles (machines).

The traditional input carbon emission detection system is prone to intentional or unintentional input errors because it needs manual input. In the end, the identification of machine shifts and machine types is inaccurate, and the accuracy of carbon emission statistics of construction enterprises cannot be guaranteed.

To sum up, how to design a method and device that can accurately detect carbon emissions for large-scale rental equipment (machines) is an urgent problem to be solved at present.

SUMMARY

According to the embodiment of the application, a carbon emission measurement scheme applied to large construction machine is provided.

In the first aspect of the application, a carbon emission measurement method applied to large construction machine is provided. The method comprises the following steps: acquiring vibration data collected by a vibration sensor and acceleration data collected by an acceleration sensor; filtering the vibration data to obtain target vibration data; inputting the target vibration data and the acceleration data into an action discrimination model to determine the action of the current machine; comparing the action of the current machine with a database to calculate the carbon emission value of the current machine; the database includes the corresponding relationship between machine actions and machine carbon emissions

Further, the obtaining vibration data collected by the vibration sensor comprises vibration frequency and amplitude data:

wherein, if the vibration frequency and amplitude reach the acquisition thresholdU503938 the vibration frequency and amplitude are intermittently acquired according to a preset time interval.

Further, the acquisition of acceleration data collected by an acceleration sensor comprises: if the vibration frequency and amplitude reach the acquisition threshold, the 6-axis acceleration data is intermittently acquired according to the preset time interval.

Further, filtering the vibration frequency to obtain the target vibration data comprises: filtering the vibration frequency, and filtering a single vibration signal of unexpected impact through amplitude, frequency and acceleration data to obtain target vibration data.

Further, the action discrimination model is trained by the following methods: generating a training sample set, wherein the training samples include vibration and acceleration characteristics of different machines with labeling information; the labeling information is a running action; training the action discrimination model by using the samples in the training sample set, taking the vibration and acceleration characteristics of different machines with labeling information as input and the running action as output, and completing the training of the action discrimination model when the unity rate of the output running action and the labeled running action meets the preset threshold.

Further, the database is constructed in the following ways: obtaining the carbon emission values of machines under different movement actions, and obtaining the corresponding relationship between actions and carbon emission; building a database based on the corresponding relationship.

In the second aspect of the application, a carbon emission measurement device applied to large construction machine is provided. The device comprises: an acquisition module, configured to acquire vibration frequency collected by a vibration sensor and acceleration data collected by an acceleration sensor;

a filtering module, configured to filter the vibration frequency to obtain target/503938 vibration data; a discrimination module, configured to input the target vibration data and the acceleration data into an action discrimination model to determine the action of the current machine; a calculation module, used for comparing the actions of the current machine with a database and calculating the carbon emission value of the current machine; the database includes the corresponding relationship between machine actions and machine carbon emissions.

Further, the acquisition of vibration data collected by the vibration sensor includes vibration frequency and amplitude data: wherein, if the vibration frequency and amplitude reach the acquisition threshold, the vibration frequency and amplitude are intermittently acquired according to a preset time interval.

In a third aspect of the application, an electronic device is provided. The electronic device comprises a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the method as described above when executing the program.

In a fourth aspect of the application, a computer-readable storage medium is provided, on which a computer program is stored, which, when executed by a processor, implements the method according to the first aspect of the application.

According to the carbon emission measurement method applied to large construction machine provided by the embodiment of the application, vibration data collected by a vibration sensor and acceleration data collected by an acceleration sensor are obtained; filtering the vibration data to obtain target vibration frequency data; inputting the target data and the acceleration data into an action discrimination model to determine the action of the current machine; comparing the action of the current machine with a database to calculate the carbon emission value of the current machine; the database includes the corresponding relationship between the actions of machines and the carbon emissions of machines, which realizes the accurate measurement 6f/503938 carbon emissions of large construction machines.

It should be understood that what is described in the Summary section is not intended to define key or important features of the embodiments of the application, nor is it intended to limit the scope of the application. Other features of the present application will be easily understood from the following description.

BRIEF DESCRIPTION OF THE FIGURES

The above and other features, advantages and aspects of various embodiments of the present application will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, the same or similar reference numerals indicate the same or similar elements, in which:

FIG. 1 shows a flowchart of a carbon emission measurement method applied to large construction machine according to an embodiment of the present application;

FIG. 2 shows a block diagram of a carbon emission measurement device applied to large construction machine according to an embodiment of the present application;

FIG. 3 shows a schematic structural diagram of a terminal device or server suitable for implementing the embodiment of the present application.

DESCRIPTION OF THE INVENTION

In order to make the purpose, technical scheme and advantages of the embodiment of the disclosure clearer, the technical scheme in the embodiment of the disclosure will be described clearly and completely with the attached drawings. Obviously, the described embodiment is a part of the embodiment of the disclosure, but not the whole embodiment. Based on the embodiments in this disclosure, all other embodiments obtained by ordinary technicians in this field without creative work belong to the protection scope of this disclosure.

In addition, the term "and/or" in this paper is only a description of the relationshl#/503938 between related objects, which means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone. In addition, the character "/" in this paper generally indicates that the context objects are an "or" relationship.

FIG. 1 shows a flowchart of a carbon emission measurement method applied to large construction machine according to an embodiment of the present disclosure. The method comprises the following steps:

S210: obtaining vibration data collected by the vibration sensor and acceleration data collected by the acceleration sensor.

Wherein the vibration data comprises vibration frequency and amplitude data.

In some embodiments, the vibration sensor, usually installed on the side door of the implement cab or at the external hood of the engine, is used to detect the vibration frequency of the transmitter.

In some embodiments, after the vibration starts (the transmitter is started), if the vibration frequency reaches the acquisition threshold, the vibration frequency is intermittently acquired according to the preset time interval. For example, after reaching the internally set threshold (set according to the application scenario), collect the vibration frequency for 15S, and then collect it randomly every 15 to 30 minutes.

Furthermore, the start-stop state of the machine can be judged by vibration, and the working time can be counted, which provides a data basis for the subsequent carbon emission calculation.

In some embodiments, the vibration frequency can be processed by big data analysis to determine the specific model and category of the current machine.

In some embodiments, acceleration data of the implement is collected by an acceleration sensor.

S220: filtering the vibration frequency to obtain target vibration data.

In some embodiments, large-scale construction machines usually work at rest, that is, they do not move widely. For example, the excavator does not dig in the moving process, so the vibration amplitude is low (occasionally high vibration, uneven road), and)503938 the emission during the moving process can be ignored.

In the process of construction, the equipment will produce corresponding vibration due to mechanical actions, such as excavator digging action, dynamic compaction machine dropping hammer action, etc. The vibration signals generated by the above actions have nothing to do with the running power of the engine and should be eliminated.

In some embodiments, the vibration signal is analyzed and filtered, and the single vibration signal such as accidental impact is filtered through the amplitude, frequency and acceleration data, and the vibration fundamental frequency of mechanical equipment is extracted to obtain the target vibration data.

S230: inputting the target vibration and acceleration data into an action discrimination model to determine the current action of the implement.

In some embodiments, the action discrimination model is trained by: generating a training sample set, wherein the training samples include vibration and acceleration characteristics of different machines with labeling information; the labeling information is a running action; training the action discrimination model by using the samples in the training sample set, taking the vibration and acceleration characteristics of different machines with labeling information as input and the running action as output, and completing the training of the action discrimination model when the unity rate of the output running action and the labeled running action meets the preset threshold.

In some embodiments, the target vibration data is input into the action discrimination model, and the current action of the implement is determined based on the specific model and category of the current machine.

Further, the relationship among equipment, actions and vibration characteristics can be referred to Table 1:

Table 1

Crawler type single | Boom lifting Amplitude: 5 mm, bucket hydraulic duration: 3 s, frequency: ce

Bucket Touchdown Amplitude: 12. mm, duration: 2 s, frequency: fe

Le

Heavy hammer dynamic | Uplift Amplitude: 2 mm, compaction machine duration: 10 s, en ae"

Drop hammer Amplitude: 5mm, duration: 0.5-1 s,

Ema + dE

S240, comparing the action of the current machine with a database to determine the carbon emission value of the current machine; the database includes the corresponding relationship between machine actions and machine carbon emissions.

In some embodiments, the database is constructed by: obtaining the carbon emission values of machines under different movement actions, and obtaining the corresponding relationship between actions and carbon emission; building a database based on the corresponding relationship.

In some embodiments, the actions of the current machines are compared with the database, and the carbon emission values of the current machines are determined based on the working hours counted in step S210, where the relationship between the vibration characteristics of the equipment and the carbon emission values can be referred to Table 2:

Table 2

Equipment | Installation Vibration Amplitude | Engine Carbon location frequency | (mm) operating emission (Hz) speed value (power)

Crawler Position 1 | 300 2 2000 r/s 0.008 kg/s dozer outside the engine compartment

Position 11 350 2.5 2500 r/s 0.009 kg/s outside the engine compartment

Location 2] 400 3 3000 r/s 0.012 kg/s outside the engine compartment pt Lt

Engine 200 1500 r/s 0.006 kg/s type single | compartment bucket roof hydraulic excavator

Engine 500 4 5000 r/s 0.020 kg/s compartment roof

CN

According to the embodiment of the present disclosure, the following technicall503938 effects are achieved: through the method disclosed by the invention, accurate measurement of carbon emission of large-scale construction machines can be realized only by vibration sensors.

It should be noted that for the sake of simple description, all the aforementioned method embodiments are expressed as a series of action combinations, but those skilled in the art should know that this application is not limited by the described action sequence, because some steps can be performed in other sequences or at the same time according to this application. Secondly, those skilled in the art should also know that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily necessary for this application.

The above is the introduction of the method embodiment, and the scheme described in this application will be further explained by the device embodiment below.

FIG. 2 shows a block diagram of a carbon emission measurement device 200 applied to large construction machine according to an embodiment of the present application. The device 200 includes: an acquisition module 210, configured to acquire vibration data collected by a vibration sensor and acceleration data collected by an acceleration sensor; a filtering module 220, configured to filter the vibration frequency to obtain target vibration data; a discrimination module 230, configured to input the target vibration data and the acceleration data into an action discrimination model to determine the action of the current machine; a calculation module 240, used for comparing the actions of the current machine with a database and calculating the carbon emission value of the current machine; the database includes the corresponding relationship between machine actions and machine carbon emissions.

It can be clearly understood by those skilled in the art that for the convenience and conciseness of description, the specific working process of the described module can refer to the corresponding process in the aforementioned method embodiment, and wilU503938 not be repeated here.

FIG. 3 shows a schematic structural diagram of a terminal device or server suitable for implementing the embodiment of the present application.

As shown in FIG. 3, a terminal device or server includes a central processing unit (CPU)301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM)302 or a program loaded into a random-access memory (RAM)303 from a storage section 308. In the RAM 303, various programs and data required for the operation of the terminal device or the server are also stored. A CPU 301, a ROM 302 and a RAM 303 are connected to each other through a bus 304. An input/output (1/0) interface 305 is also connected to the bus 304.

The following components are connected to the I/O interface 305, an input section 306 including a keyboard, a mouse and the like, an output part 307 including a cathode ray tube (CRT), a liquid crystal display (LCD), a speaker, etc; a storage section 308 including a hard disk or the like; and a communication section 309 including a network interface card such as a LAN card, a modem, etc. The communication section 309 performs communication processing via a network such as the Internet. The driver 310 is also connected to the I/O interface 305 as needed. A removable medium 311, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 310 as needed, so that a computer program read from it can be installed into the storage section 308 as needed.

In particular, according to embodiments of the present application, the above method flow steps can be implemented as computer software programs. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a machine-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication section 309 and/or installed from the removable medium 311. When the computer program is executed by a central processing unit

(CPU)301, the above functions defined in the system of the present application até/503938 performed.

It should be noted that the computer-readable medium shown in this application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or a combination of any of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random-access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program, which can be used by or in combination with an instruction execution system, apparatus or device. In this application, the computer-readable signal medium may include data signals propagated in baseband or as part of a carrier wave, in which computer-readable program codes are carried. This propagated data signal can take many forms, including but not limited to electromagnetic signals, optical signals or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, which can send, propagate or transmit the program for use by or in connection with the instruction execution system, apparatus or device. The program code contained in the computer-readable medium can be transmitted by any suitable medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

The flowcharts and block diagrams in the drawings illustrate the architecture, functions and operations of possible implementations of systems, methods and computer program products according to various embodiments of the present application.

In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, which contains one or more executable instructions/503938 for implementing specified logical functions. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than those noted in the drawings. For example, two blocks shown in succession may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, can be implemented by a dedicated hardware-based system that performs specified functions or operations, or by a combination of dedicated hardware and computer instructions.

The units or modules described in the embodiments of the present application can be realized by software or hardware. The described units or modules may also be provided in a processor. Among them, the names of these units or modules do not constitute the limitation of the unit or module itself in some cases.

On the other hand, the application also provides a computer-readable storage medium, which can be included in the electronic device described in the above embodiment; it can also exist alone without being assembled into the electronic equipment. The computer-readable storage medium stores one or more programs, which, when used by one or more processors, perform the methods described in this application.

The above description is only the preferred embodiment of this application and the explanation of the applied technical principles. It should be understood by those skilled in the art that the application scope involved in this application is not limited to the technical scheme formed by the specific combination of the above technical features, but also covers other technical schemes formed by any combination of the above technical features or their equivalent features without departing from the concept of the above application. For example, the above-mentioned features are replaced with (but not limited to) technical features with similar functions applied in this application.

Claims (10)

CLAIMS LU503938

1. A carbon emission measurement method applied to large construction machine, comprising: acquiring vibration data collected by a vibration sensor and acceleration data collected by an acceleration sensor; filtering the vibration data to obtain target vibration data; inputting the target vibration data and the acceleration data into an action discrimination model to determine the action of the current machine; comparing the action of the current machine with a database to calculate the carbon emission value of the current machine; the database includes the corresponding relationship between machine actions and machine carbon emissions.

2. The method according to claim 1, wherein the obtaining vibration data collected by the vibration sensor comprises vibration frequency and amplitude data: wherein, if the vibration frequency and amplitude reach the acquisition threshold, the vibration frequency and amplitude are intermittently acquired according to a preset time interval.

3. The method according to claim 2, wherein the acquisition of acceleration data collected by an acceleration sensor comprises: if the vibration frequency and amplitude reach the acquisition threshold, the 6-axis acceleration data is intermittently acquired according to the preset time interval.

4. The method according to claim 3, wherein filtering the vibration frequency to obtain clean vibration frequency data comprises: filtering the vibration frequency, and filtering a single vibration signal of unexpected impact through amplitude, frequency and acceleration data to obtain target vibration data.

5. The method according to claim 4, wherein the action discrimination model ls/503938 trained by the following methods: generating a training sample set, wherein the training samples include vibration and acceleration characteristics of different machines with labeling information; the labeling information is a running action; training the action discrimination model by using the samples in the training sample set, taking the vibration and acceleration characteristics of different machines with labeling information as input and the running action as output, and completing the training of the action discrimination model when the unity rate of the output running action and the labeled running action meets the preset threshold.

6. The method according to claim 5, wherein the database is constructed in the following ways: obtaining the carbon emission values of machines under different movement actions, and obtaining the corresponding relationship between actions and carbon emission; building a database based on the corresponding relationship.

7. A carbon emission measurement device applied to large construction machine, comprising: an acquisition module, configured to acquire vibration data collected by a vibration sensor and acceleration data collected by an acceleration sensor; a filtering module, configured to filter the vibration frequency to obtain target vibration data; a discrimination module, configured to input the target vibration data and the acceleration data into an action discrimination model to determine the action of the current machine; a calculation module, used for comparing the actions of the current machine with a database and calculating the carbon emission value of the current machine; the database includes the corresponding relationship between machine actions and machine carbon emissions.

8. The device according to claim 7, wherein the acquisition of vibration datä/503938 collected by the vibration sensor includes vibration frequency and amplitude data: wherein, if the vibration frequency and amplitude reach the acquisition threshold, the vibration frequency and amplitude are intermittently acquired according to a preset time interval.

9. An electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, wherein the processor implements the method according to claim 1 when executing the computer program.

10. A computer-readable storage medium on which a computer program is stored, characterized in that the computer program, when executed by a processor, realizes the method according to claim 1.