A method for calculating carbon emissions from service robots

Abstract

The present invention discloses a method for calculating carbon emissions of a service robot, comprising the following steps: placing a service robot in an area where carbon emissions calculation needs to be performed, and performing mobile monitoring of the area where carbon emissions calculation needs to be performed; presetting a number of different measuring points for the monitoring area; controlling the service robot to perform pre-monitoring of the preset different measuring points; re-dividing the monitoring area into a number of levels of monitoring areas according to the pre-monitoring results, and setting theoretical emission values ​​for each level of monitoring area; obtaining flow data of carbon emission flow entities in different monitoring areas; and calculating the total emission amount according to the flow data and theoretical emission values ​​of each monitoring area. The present invention can perform targeted monitoring and acquisition of different carbon emission areas, thereby improving the accuracy of carbon emission monitoring in different monitoring areas, so as to solve the problems that the existing carbon emission monitoring is not targeted enough, the monitoring method is relatively single, and the monitoring is not accurate enough.

Description

Technical Field

[0001] The present invention relates to the field of carbon emission technology, and in particular to a carbon emission accounting method for a service robot. Background Art

[0002] Carbon emissions, or greenhouse gas emissions, cause the greenhouse effect and raise global temperatures. While absorbing solar radiation, the earth also radiates heat to outer space, with its thermal radiation mainly being long-wave infrared rays of 3 to 30 μm. When such long-wave radiation enters the atmosphere, it is easily absorbed by certain gas molecules with larger molecular weights and stronger polarity. In existing technologies, when using robots to measure carbon emissions, only a single measurement data can be obtained, and the carbon emission standards for different regions cannot be accurately obtained. The carbon emission accounting method is relatively simple and the accuracy of carbon emission acquisition is low. Summary of the invention

[0003] In view of the shortcomings of the prior art, the purpose of the present invention is to provide a carbon emissions accounting method for a service robot, which can carry out targeted monitoring and acquisition of different carbon emission areas, thereby improving the accuracy of carbon emission monitoring in different monitoring areas, so as to solve the problems that the existing carbon emission monitoring is not targeted enough, the monitoring method is relatively single, and the monitoring is not accurate enough.

[0004] In order to achieve the above object, the present invention is implemented through the following technical solution: a method for calculating carbon emissions of a service robot, the method comprising the following steps:

[0005] Step S1, placing the service robot in an area where carbon emission accounting is required, and performing mobile monitoring of the area where carbon emission accounting is required;

[0006] Step S2, presetting a number of different measurement points for the monitoring area;

[0007] Step S3, controlling the service robot to perform pre-monitoring on different preset measurement points;

[0008] Step S4, based on the preliminary monitoring results, the monitoring area is re-divided into several levels of monitoring areas, and a theoretical emission value is set for each level of monitoring area;

[0009] Step S5, obtaining carbon emission flow entities in different monitoring areas, and obtaining flow data of each monitoring area through the carbon emission flow entities;

[0010] Step S6, calculating the total emission amount according to the flow data and theoretical emission value of each monitoring area.

[0011] Furthermore, the step S1 also includes step S11, and the step S11 includes: demarcating the area to be monitored, obtaining a contour map of the demarcated monitoring area, and controlling the service robot to move along the periphery of the monitoring area contour gradually toward the center of the monitoring area for monitoring.

[0012] Furthermore, the step S2 also includes step S21, and the step S21 includes: dividing the monitoring area into movable areas, the movable areas are road areas that the service robot can pass through, and on the road area, a monitoring point is defined at every first distance, and the monitoring points are marked as Jc1, Jc2...Jci in sequence, wherein Jc is a representative symbol of the monitoring point, 1 to i are representative serial numbers of each monitoring point, and Jc1 to Jci are the first monitoring point to the i-th monitoring point in sequence.

[0013] Further, the step S3 also includes step S31, and the step S31 includes: controlling the service robot to monitor each monitoring point;

[0014] First, each monitoring point is monitored for a short time, and each monitoring point is monitored for a first time period, and the carbon emissions of each monitoring point in the first time period are obtained, and are marked as T1Jc1, T1Jc2...T1Jci in sequence, where T1 is the representative symbol of the first time period, and T1Jc1 to T1Jci are the carbon emissions of the first monitoring point in the first time period to the carbon emissions of the i-th monitoring point in the first time period, respectively;

[0015] Then monitor each monitoring point for a long time, monitor each monitoring point for a second time, obtain the carbon emissions of each monitoring point in the second time, and mark them as T2Jc1, T2Jc2...T2Jci, where T2 is the representative symbol of the first time, and T2Jc1 to T2Jci are the carbon emissions of the first monitoring point in the second time to the carbon emissions of the i-th monitoring point in the second time, respectively.

[0016] Furthermore, the step S4 further includes a step S41, wherein the step S41 includes: substituting the carbon emissions of each monitoring point at the first time period and the second time period into the carbon emission standard formula to obtain the carbon emission standard value of each monitoring point;

[0017] When the carbon emission standard value of the monitoring point is greater than or equal to the first emission threshold, the monitoring point is marked as a first-level emission point;

[0018] When the carbon emission standard value of the monitoring point is greater than or equal to the second emission threshold and less than the first emission threshold, the monitoring point is marked as a second-level emission point;

[0019] When the carbon emission standard value of the monitoring point is less than the second emission threshold, the monitoring point is marked as a third-level emission point.

[0020] Furthermore, the carbon emission standard formula is configured as: Tpb=a1×T1Jc+a2×T2Jc; wherein Tpb is the carbon emission standard value, T1Jc is the representative symbol of the carbon emissions at different monitoring points in the first time period, T2Jc is the representative symbol of the carbon emissions at different monitoring points in the second time period, a1 is the carbon emission conversion coefficient for the first time period, a2 is the carbon emission conversion coefficient for the second time period, and both a1 and a2 are greater than zero.

[0021] Furthermore, the step S5 further includes a step S51, wherein the step S51 includes: monitoring the mobile carbon emissions at different monitoring points, obtaining the types of mobile emission subjects and the carbon emission standard values ​​of different types of mobile emission subjects;

[0022] Different types of mobile emission entities are divided into first-level carbon emission entities, second-level carbon emission entities and third-level carbon emission entities;

[0023] The carbon emission standard value of the first-level carbon emission entity is set as the first-level standard value, the carbon emission standard value of the second-level carbon emission entity is set as the second-level standard value, and the carbon emission standard of the third-level carbon emission entity is set as the third-level standard value.

[0024] Furthermore, the step S5 also includes a step S52, and the step S52 includes: substituting the carbon emission standard values ​​of the mobile emission entities at different monitoring points into the mobile entity carbon emission formula respectively to obtain the mobile carbon emission value of each monitoring point.

[0025] Furthermore, the flow body carbon emission formula is configured as:

[0026] Tpld=k1×(b1×Pbz1+b2×Pbz2+b3×Pbz3); wherein Tpld is the flow carbon emission value, Pbz1 is the first-level standard value, Pbz2 is the second-level standard value, Pbz3 is the third-level standard value, b1 is the conversion coefficient of the first-level standard, b2 is the conversion coefficient of the second-level standard, b3 is the conversion coefficient of the third-level standard, k1 is the flow conversion coefficient, and b1, b2, b3 and k1 are all greater than zero.

[0027] Furthermore, the carbon emission standard value and the mobile carbon emission value of the mobile emission subject at each monitoring point are substituted into the carbon emission formula of the monitoring area to obtain the total carbon emission value; the carbon emission formula of the monitoring area is configured as: Tpjcz=α×(Tpb1+...+Tpbi)+β×(Tpld1+...+Tpldi); wherein Tpjcz is the total carbon emission value, Tpb1 to Tpbi are the carbon emission standard values ​​from the first monitoring point to the i-th monitoring point respectively, Tpld1 to Tpldi are the mobile carbon emission values ​​from the first monitoring point to the i-th monitoring point respectively, α is the standard conversion ratio, β is the mobile conversion ratio, and α and β are both greater than zero.

[0028] The beneficial effects of the present invention are:

[0029] 1. The present invention places a service robot in an area where carbon emission accounting is required to perform mobile monitoring of the area where carbon emission accounting is required; then preset measurement points are set for the monitoring area, and several different measurement points are set respectively; this method can demarcate the monitoring area into several specific monitoring points, thereby improving the reference value of the monitoring data.

[0030] 2. The present invention controls the service robot to perform pre-monitoring on different preset points and processes the pre-monitoring results; then the monitoring area is re-divided according to the pre-monitoring results, and the monitoring area is divided into several levels of monitoring areas, and theoretical emission values ​​are set for each level of monitoring areas; the monitoring data of the preset points are processed to obtain the monitoring level of each monitoring point, thereby facilitating subsequent theoretical data processing and improving the convenience of data processing.

[0031] 3. The present invention obtains the carbon emission flow bodies in different monitoring areas, obtains the flow data of the monitoring area through the carbon emission flow bodies, and then calculates the total emission according to the flow data and the theoretical emission value of the monitoring area. This design can make up for the inaccuracy of single carbon emission monitoring, comprehensively consider the possible factors of carbon emission, and further improve the accuracy and pertinence of carbon emission monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 A flowchart of a method for calculating carbon emissions of a service robot disclosed in an embodiment of the present invention;

[0033] Figure 2 This is a flowchart of the specific steps of a method for calculating carbon emissions of a service robot disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0036] like Figure 1 As shown, a method for calculating carbon emissions of a service robot according to the present invention comprises the following steps:

[0037] Step S1, placing the service robot in the area where carbon emission accounting is required, and performing mobile monitoring of the area where carbon emission accounting is required; Step S2, setting preset measurement points in the monitoring area, and setting several different measurement points respectively; this method can delineate the monitoring area into several specific monitoring points, thereby improving the reference value of the monitoring data.

[0038] Step S3, control the service robot to perform pre-monitoring on different preset measuring points and process the pre-monitoring results; Step S4, re-divide the monitoring area according to the pre-monitoring results, divide the monitoring area into several levels of monitoring areas, and set theoretical emission values ​​for each level of monitoring areas; by processing the monitoring data of the preset points, the monitoring level of each monitoring point is obtained, which facilitates subsequent theoretical data processing and improves the convenience of data processing.

[0039] Step S5, obtain the carbon emission flow subject of different monitoring areas, and obtain the flow data of each monitoring area through the carbon emission flow subject; Step S6, calculate the total emission according to the flow data of each monitoring area and the theoretical emission value of the monitoring area. This design can make up for the inaccuracy of single carbon emission monitoring, comprehensively consider the possible factors of carbon emission, and further improve the accuracy and pertinence of carbon emission monitoring.

[0040] like Figure 2 As shown, the above-mentioned service robot carbon emission accounting method specifically includes the following steps:

[0041] Step S1 also includes step S11, which includes: demarcating the area to be monitored, obtaining a contour map of the demarcated monitoring area, controlling the service robot to move along the periphery of the contour of the monitoring area, and gradually moving toward the center of the monitoring area.

[0042] Step S2 also includes step S21, which includes: dividing the monitoring area into movable areas, the movable areas are road areas that the service robot can pass through, and on the road area, a monitoring point is defined at every first distance, and the monitoring points are marked as Jc1, Jc2...Jci in sequence, wherein Jc is a representative symbol of the monitoring point, 1 to i are representative serial numbers of each monitoring point, and Jc1 to Jci are the first monitoring point to the i-th monitoring point in sequence.

[0043] Step S3 also includes step S31, which includes: controlling the service robot to monitor each monitoring point;

[0044] First, each monitoring point is monitored for a short time, and each monitoring point is monitored for a first time period, and the carbon emissions of each monitoring point in the first time period are obtained, and are marked as T1Jc1, T1Jc2...T1Jci in sequence, where T1 is the representative symbol of the first time period, and T1Jc1 to T1Jci are the carbon emissions of the first monitoring point in the first time period to the carbon emissions of the i-th monitoring point in the first time period, respectively;

[0045] Then monitor each monitoring point for a long time, monitor each monitoring point for a second time, obtain the carbon emissions of each monitoring point in the second time, and mark them as T2Jc1, T2Jc2...T2Jci, where T2 is the representative symbol of the first time, and T2Jc1 to T2Jci are the carbon emissions of the first monitoring point in the second time to the carbon emissions of the i-th monitoring point in the second time, respectively.

[0046] Step S4 also includes step S41, which includes: substituting the carbon emissions of each monitoring point at the first time period and the second time period into the carbon emission standard formula to obtain the carbon emission standard value of each monitoring point;

[0047] When the carbon emission standard value of the monitoring point is greater than or equal to the first emission threshold, the monitoring point is marked as a first-level emission point;

[0048] When the carbon emission standard value of the monitoring point is greater than or equal to the second emission threshold and less than the first emission threshold, the monitoring point is marked as a second-level emission point;

[0049] When the carbon emission standard value of the monitoring point is less than the second emission threshold, the monitoring point is marked as a third-level emission point.

[0050] The carbon emission standard formula is configured as: Tpb=a1×T1Jc+a2×T2Jc; among them, Tpb is the carbon emission standard value, T1Jc is the representative symbol of the carbon emissions at different monitoring points in the first time period, T2Jc is the representative symbol of the carbon emissions at different monitoring points in the second time period, a1 is the carbon emission conversion coefficient for the first time period, a2 is the carbon emission conversion coefficient for the second time period, and both a1 and a2 are greater than zero.

[0051] Step S5 also includes step S51, which includes: monitoring the mobile carbon emissions at different monitoring points, obtaining the types of mobile emission subjects and the carbon emission standard values ​​of different types of mobile emission subjects;

[0052] Different types of mobile emission entities are divided into first-level carbon emission entities, second-level carbon emission entities and third-level carbon emission entities;

[0053] The carbon emission standard value for the first-level carbon emission entity is set as the first-level standard value, the carbon emission standard value for the second-level carbon emission entity is set as the second-level standard value, and the carbon emission standard for the third-level carbon emission entity is set as the third-level standard value.

[0054] Step S5 also includes step S52, which includes: substituting the carbon emission standard values ​​of the mobile emission entities at different monitoring points into the mobile entity carbon emission formula respectively to obtain the mobile carbon emission value of each monitoring point.

[0055] The formula for carbon emissions of mobile entities is configured as: Tpld=k1×(b1×Pbz1+b2×Pbz2+b3×Pbz3); where Tpld is the mobile carbon emission value, Pbz1 is the first-level standard value, Pbz2 is the second-level standard value, Pbz3 is the third-level standard value, b1 is the conversion coefficient of the first-level standard, b2 is the conversion coefficient of the second-level standard, b3 is the conversion coefficient of the third-level standard, k1 is the flow conversion coefficient, and b1, b2, b3 and k1 are all greater than zero.

[0056] The carbon emission standard value and mobile carbon emission value of the mobile emission entity at each monitoring point are substituted into the carbon emission formula of the monitoring area to obtain the total carbon emission value; the carbon emission formula of the monitoring area is configured as: Tpjcz=α×(Tpb1+...+Tpbi)+β×(Tpld1+...+Tpldi); wherein Tpjcz is the total carbon emission value, Tpb1 to Tpbi are the carbon emission standard values ​​from the first monitoring point to the i-th monitoring point respectively, Tpld1 to Tpldi are the mobile carbon emission values ​​from the first monitoring point to the i-th monitoring point respectively, α is the standard conversion ratio, β is the mobile conversion ratio, and both α and β are greater than zero.

[0057] Finally, it should be noted that the above-described embodiments are only specific implementations of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The protection scope of the present invention is not limited thereto. Although the present invention is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed by the present invention, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention shall be based on the protection scope of the claims.

Claims

1. A method for calculating carbon emissions of a service robot, characterized in that: The calculation method comprises the following steps: Step S1, placing the service robot in an area where carbon emission accounting is required, and performing mobile monitoring of the area where carbon emission accounting is required; Step S2, presetting a number of different measurement points for the monitoring area; Step S3, controlling the service robot to perform pre-monitoring on different preset measurement points; Step S4, based on the preliminary monitoring results, the monitoring area is re-divided into several levels of monitoring areas, and a theoretical emission value is set for each level of monitoring area; Step S5, obtaining carbon emission flow entities in different monitoring areas, and obtaining flow data of each monitoring area through the carbon emission flow entities; Step S6, calculating the total emission amount according to the flow data and theoretical emission value of each monitoring area; The step S3 also includes a step S31, and the step S31 includes: controlling the service robot to monitor each monitoring point; First, each monitoring point is monitored for a short time, and each monitoring point is monitored for a first time period, and the carbon emissions of each monitoring point in the first time period are obtained, and are marked as T1Jc1, T1Jc2...T1Jci in sequence, where T1 is the representative symbol of the first time period, and T1Jc1 to T1Jci are the carbon emissions of the first monitoring point in the first time period to the carbon emissions of the i-th monitoring point in the first time period, respectively; Then, each monitoring point is monitored for a long time, and each monitoring point is monitored for a second time period, and the carbon emissions of each monitoring point in the second time period are obtained, and are marked as T2Jc1, T2Jc2...T2Jci in sequence, where T2 is the representative symbol of the second time period, and T2Jc1 to T2Jci are the carbon emissions of the first monitoring point in the second time period to the carbon emissions of the i-th monitoring point in the second time period, respectively; The step S4 further includes a step S41, wherein the step S41 includes: substituting the carbon emissions of each monitoring point at the first time period and the second time period into the carbon emission standard formula to obtain the carbon emission standard value of each monitoring point; When the carbon emission standard value of the monitoring point is greater than or equal to the first emission threshold, the monitoring point is marked as a first-level emission point; When the carbon emission standard value of the monitoring point is greater than or equal to the second emission threshold and less than the first emission threshold, the monitoring point is marked as a second-level emission point; When the carbon emission standard value of the monitoring point is less than the second emission threshold, the monitoring point is marked as a third-level emission point; The carbon emission standard formula is configured as: Tpb=a1×T1Jc+a2×T2Jc; wherein Tpb is the carbon emission standard value, T1Jc is the carbon emission representative symbol of different monitoring points in the first time period, T2Jc is the carbon emission representative symbol of different monitoring points in the second time period, a1 is the carbon emission conversion coefficient of the first time period, a2 is the carbon emission conversion coefficient of the second time period, and a1 and a2 are both greater than zero; The step S5 further includes a step S51, wherein the step S51 includes: monitoring the mobile carbon emissions at different monitoring points, obtaining the types of mobile emission subjects and the carbon emission standard values ​​of different types of mobile emission subjects; Different types of mobile emission entities are divided into first-level carbon emission entities, second-level carbon emission entities and third-level carbon emission entities; The carbon emission standard value of the first-level carbon emission subject is set as the first-level standard value, the carbon emission standard value of the second-level carbon emission subject is set as the second-level standard value, and the carbon emission standard of the third-level carbon emission subject is set as the third-level standard value; The step S5 also includes a step S52, wherein the step S52 includes: substituting the carbon emission standard values ​​of the mobile emission subjects at different monitoring points into the mobile subject carbon emission formula to obtain the mobile carbon emission value of each monitoring point; The flow main carbon emission formula is configured as: Tpld=k1×(b1×Pbz1+b2×Pbz2+b3×Pbz3); wherein Tpld is the flow carbon emission value, Pbz1 is the first-level standard value, Pbz2 is the second-level standard value, Pbz3 is the third-level standard value, b1 is the conversion coefficient of the first-level standard, b2 is the conversion coefficient of the second-level standard, b3 is the conversion coefficient of the third-level standard, k1 is the flow conversion coefficient, and b1, b2, b3 and k1 are all greater than zero; The carbon emission standard value and the mobile carbon emission value of the mobile emission subject at each monitoring point are substituted into the carbon emission formula of the monitoring area to obtain the total carbon emission value; the carbon emission formula of the monitoring area is configured as: Tpjcz=α×(Tpb1+...+Tpbi)+β×(Tpld1+...+Tpldi); wherein Tpjcz is the total carbon emission value, Tpb1 to Tpbi are the carbon emission standard values ​​from the first monitoring point to the i-th monitoring point respectively, Tpld1 to Tpldi are the mobile carbon emission values ​​from the first monitoring point to the i-th monitoring point respectively, α is the standard conversion ratio, β is the mobile conversion ratio, and both α and β are greater than zero.

2. The method for calculating carbon emissions of a service robot according to claim 1, characterized in that: The step S1 also includes step S11, which includes: demarcating the area to be monitored, obtaining a contour map of the demarcated monitoring area, and controlling the service robot to move along the periphery of the monitoring area contour gradually toward the center of the monitoring area for monitoring.

3. The method for calculating carbon emissions of a service robot according to claim 2, characterized in that: The step S2 also includes step S21, and the step S21 includes: dividing the monitoring area into movable areas, the movable areas are road areas that the service robot can pass through, and on the road area, a monitoring point is defined at every first distance, and the monitoring points are marked as Jc1, Jc2...Jci in sequence, wherein Jc is a representative symbol of the monitoring point, 1 to i are representative serial numbers of each monitoring point, and Jc1 to Jci are the first monitoring point to the i-th monitoring point in sequence.

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