A method, device and equipment for evaluating carbon emissions during substation construction

Abstract

The present invention discloses a method, device and equipment for evaluating carbon emissions during substation construction, and specifically relates to the field of green environmental protection technology. An adjustment coefficient is obtained by collecting a regional height coefficient and a temperature and humidity difference coefficient, and a final carbon emission is obtained based on the adjustment coefficient and the initial carbon emission. Considering the influence of other factors, the calculated carbon emission is less different from the actual carbon emission. A working state coefficient is obtained by acquiring a work progress offset coefficient and a carbon emission time concentration coefficient, and a final evaluation coefficient is obtained based on the working state coefficient and the final carbon emission. An abnormal coefficient is screened out based on the final evaluation coefficient, and the standard deviation of all abnormal coefficients is calculated. The standard deviation is compared with a preset threshold value, and the current carbon emission state is evaluated based on the comparison result. Considering the influence of the actual construction progress and other factors, the final carbon emission evaluation can best guide the carbon emission management and optimization during the construction process.

Description

Technical Field

[0001] The present invention relates to the field of green environmental protection technology, and in particular to a method, device and equipment for evaluating carbon emissions during substation construction. Background Art

[0002] In recent years, with the increase of greenhouse gases, the problem of global climate change has become more and more serious, and carbon emissions are one of the core factors of this problem; carbon emissions lead to the accumulation of greenhouse gases in the atmosphere, forming a greenhouse effect, which raises the temperature of the earth's surface and causes global warming. Therefore, in order to reduce carbon emissions, governments and international organizations have formulated strict carbon emission indicators. When enterprises are carrying out construction or operations, they need to strictly follow the carbon emission indicators of their companies for emission operations; for substations, during the construction period, they also need to strictly follow the prescribed carbon emission indicators for emissions, so as to achieve the goal of environmental protection.

[0003] The traditional assessment of carbon emissions during substation construction simply collects some carbon emission sources for assessment without considering the impact of other factors, resulting in a large difference between the calculated carbon emissions and the actual carbon emissions. In addition, the traditional assessment method only assesses based on the current carbon emissions without considering the actual construction progress and other factors. As a result, the final carbon emissions assessment cannot guide carbon emission management and optimization during the construction process according to the best results. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that the calculated carbon emissions are significantly different from the actual carbon emissions and that the final carbon emissions assessment cannot provide the best guidance for carbon emissions management and optimization during the construction process, and to propose a method, device and equipment for assessing carbon emissions during substation construction.

[0005] In a first aspect of the present invention, a method for evaluating carbon emissions during substation construction is first proposed, the method comprising:

[0006] The initial carbon emission sequence, environmental data and working status data during the substation construction period are obtained, and aligned based on time to obtain a construction data set; the environmental data includes the regional height coefficient and the temperature and humidity difference coefficient; the working status data includes the work progress offset coefficient and the carbon emission time concentration coefficient;

[0007] Dividing the construction data set according to a preset time window to obtain a plurality of sub-construction data sets; each sub-construction data set includes initial carbon emissions, environmental data and working status data;

[0008] Obtaining an adjustment coefficient according to the environmental data in each sub-construction data set, and obtaining a final carbon emission of the sub-construction data set according to the adjustment coefficient and the initial carbon emission;

[0009] Obtaining a working status coefficient according to the working status data in each sub-construction data set, and obtaining a final evaluation coefficient of the sub-construction data set according to the working status coefficient and the final carbon emissions;

[0010] Extract all final evaluation coefficients in the construction data set, screen out abnormal coefficients, establish an abnormal set, calculate the standard deviation in the abnormal set, and compare the standard deviation with a preset standard deviation threshold, and evaluate the current carbon emission status based on the comparison result.

[0011] Optionally, the method for obtaining the regional height coefficient includes:

[0012] Divide the substation construction area into several sub-areas, obtain the altitude of each sub-area, and obtain a height sequence;

[0013] Calculate the difference between each data in the height sequence and the preset standard height to obtain the height deviation sequence;

[0014] All the data in the height deviation sequence are added together to obtain the regional height coefficient.

[0015] Optionally, obtaining the temperature and humidity difference coefficient includes:

[0016] Obtain the temperature and humidity in each sub-construction data set, and obtain the temperature and humidity difference coefficient of the sub-construction data set according to the temperature and humidity;

[0017] The calculation expression of temperature and humidity difference coefficient is as follows:

[0018] in Respectively represent real-time temperature data and real-time humidity data, Indicates the time period when the real-time temperature data is outside the optimal temperature range corresponding to the full combustion of resources. Indicates the time period when the real-time humidity data is outside the optimal humidity range corresponding to the full combustion of resources;

[0019] Optionally, obtaining an adjustment coefficient according to environmental data in each sub-construction data set, and obtaining a final carbon emission of the sub-construction data set according to the adjustment coefficient and the initial carbon emission includes:

[0020] The regional height coefficient and the temperature and humidity difference coefficient in each sub-construction data set are weighted and summed to obtain the adjustment coefficient. The specific formula is as follows:

[0021] In the formula, is the adjustment coefficient, and are the regional height coefficient and the temperature and humidity difference coefficient, represent the proportionality coefficients of the regional height coefficient and the temperature and humidity difference coefficient, respectively, and All are greater than 0;

[0022] The adjustment coefficient in each sub-construction data set is multiplied by the corresponding weight coefficient and the initial carbon emissions to obtain the final carbon emissions of the sub-construction data set.

[0023] Optionally, the method for obtaining the work progress offset coefficient includes:

[0024] Obtain the workload completed by the actual construction progress in each sub-construction data set, and calculate the ratio of the actual workload completed to the total workload to obtain the actual work progress;

[0025] The difference between the actual work progress and the corresponding expected work progress is calculated, and the difference is divided by the expected work progress to obtain the work progress deviation coefficient of the sub-construction data set.

[0026] Optionally, the method for obtaining the carbon emission time concentration coefficient includes:

[0027] Get the carbon emissions at different times in each sub-construction data set and mark them as , w represents the number of carbon emissions at different times, , f is the number of serial numbers and is a positive integer;

[0028] calculate The average , the calculation formula is: Sub-construction data collection Greater than The data of is regrouped to obtain a high emission set, and the data in the high emission set is marked as , q represents Greater than The number of the data, , e is the number of serial numbers and is a positive integer;

[0029] Get every two adjacent The time difference between them is compared with the preset time difference. When the time difference is less than the preset time difference, the two adjacent Recorded as centralized emission data;

[0030] The carbon emission time concentration coefficient of the sub-construction data set is obtained by dividing the number of concentrated emission data in the high emission set by the number of data in the high emission set.

[0031] Optionally, obtaining a working status coefficient according to the working status data in each sub-construction data set, and obtaining a final evaluation coefficient of the sub-construction data set according to the working status coefficient and the final carbon emissions includes:

[0032] The work progress offset coefficient and carbon emission time concentration coefficient of each sub-construction data set are weighted and summed to obtain the work status coefficient of the sub-construction data set. The specific formula is as follows:

[0033] In the formula, is the working state coefficient, and are the work progress deviation coefficient and carbon emission time concentration coefficient respectively. They represent the proportional coefficients of the work progress deviation coefficient and the carbon emission time concentration coefficient, respectively, and Greater than 0;

[0034] The working state coefficient in each sub-construction data set is multiplied by the corresponding weight coefficient and the final carbon emission to obtain the final evaluation coefficient of the sub-construction data set.

[0035] Optionally, extracting all final evaluation coefficients in the construction data set, screening out abnormal coefficients, establishing an abnormal set, calculating the standard deviation in the abnormal set, and comparing the standard deviation with a preset standard deviation threshold, and evaluating the current carbon emission status according to the comparison result includes:

[0036] Compare each final evaluation coefficient in the construction data set with a preset final evaluation coefficient threshold, and if the final evaluation coefficient is not less than the preset final evaluation coefficient threshold, record the final evaluation coefficient as an abnormal coefficient;

[0037] All abnormal coefficients are used to establish an abnormal set, and the standard deviation of all abnormal coefficients is calculated, and the standard deviation is compared with a preset standard deviation threshold. If the standard deviation is not less than the preset standard deviation threshold, the current carbon emission state is evaluated as an abnormal state, and an alarm is issued;

[0038] If the standard deviation is less than the preset standard deviation threshold, the current carbon emission state is assessed to be normal and no alarm is issued.

[0039] In a second aspect of the present invention, a device for evaluating carbon emissions during substation construction is provided, the device comprising:

[0040] Construction data module: obtains the initial carbon emission sequence, environmental data and working status data during the substation construction period, and aligns them based on time to obtain a construction data set; the environmental data includes the regional height coefficient and the temperature and humidity difference coefficient; the working status data includes the work progress offset coefficient and the carbon emission time concentration coefficient;

[0041] Division module: divide the construction data set according to a preset time window to obtain a number of sub-construction data sets; each sub-construction data set includes initial carbon emissions, environmental data and working status data;

[0042] Final carbon emissions module: obtains the adjustment coefficient according to the environmental data in each sub-construction data set, and obtains the final carbon emissions of the sub-construction data set according to the adjustment coefficient and the initial carbon emissions;

[0043] Final evaluation coefficient module: obtains the working status coefficient according to the working status data in each sub-construction data set, and obtains the final evaluation coefficient of the sub-construction data set according to the working status coefficient and the final carbon emissions;

[0044] Evaluation module: extract all final evaluation coefficients in the construction data set, filter out abnormal coefficients, establish an abnormal set, calculate the standard deviation in the abnormal set, and compare the standard deviation with the preset standard deviation threshold, and evaluate the current carbon emission status based on the comparison results.

[0045] In a third aspect of the present invention, an electronic device is provided, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0046] Memory, used to store computer programs;

[0047] The processor is used to implement any of the above-mentioned method steps when executing the program stored in the memory.

[0048] Beneficial effects of the present invention:

[0049] The present invention proposes a method for evaluating carbon emissions during substation construction. Taking into account the influence of other factors, the calculated carbon emissions are less different from the actual carbon emissions. At the same time, taking into account the influence of the actual construction progress and other factors, the final carbon emissions evaluation can best guide the carbon emissions management and optimization during the construction process. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The present invention will be further described below in conjunction with the accompanying drawings.

[0051] Figure 1A flow chart of a method for evaluating carbon emissions during substation construction provided by an embodiment of the present invention;

[0052] Figure 2 A framework diagram of a device for assessing carbon emissions during substation construction provided by an embodiment of the present invention;

[0053] Figure 3 A schematic diagram of the structure of a device. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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.

[0055] Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in the field without making any creative work shall fall within the scope of protection of the present invention.

[0056] The embodiment of the present invention provides a method for evaluating carbon emissions during substation construction. Figure 1 , Figure 1 A flow chart of a method for evaluating carbon emissions during substation construction provided by an embodiment of the present invention. The method comprises the following steps:

[0057] Obtain the initial carbon emission series, environmental data, and working status data during the substation construction period, and align them based on time to obtain a construction data set;

[0058] The construction data set is divided according to a preset time window to obtain several sub-construction data sets; each sub-construction data set includes initial carbon emissions, environmental data and working status data;

[0059] Obtaining an adjustment coefficient according to the environmental data in each sub-construction data set, and obtaining a final carbon emission of the sub-construction data set according to the adjustment coefficient and the initial carbon emission;

[0060] Obtaining a working status coefficient according to the working status data in each sub-construction data set, and obtaining a final evaluation coefficient of the sub-construction data set according to the working status coefficient and the final carbon emissions;

[0061] Extract all final evaluation coefficients in the construction data set, filter out abnormal coefficients, establish an abnormal set, calculate the standard deviation in the abnormal set, and compare the standard deviation with the preset standard deviation threshold. According to the comparison results, evaluate the current carbon emission status.

[0062] Based on a method for evaluating carbon emissions during substation construction provided by an embodiment of the present invention, through the above-mentioned method, taking into account the influence of other factors, the calculated carbon emissions are less different from the actual carbon emissions. At the same time, taking into account the influence of the actual construction progress and other factors, the final carbon emissions evaluation can best guide carbon emission management and optimization during the construction process.

[0063] It should be noted that the preset time window is a time window set by professionals according to actual conditions for segmenting the construction data set, and the details will not be repeated here.

[0064] In one embodiment, the environmental data includes:

[0065] Divide the substation construction area into several sub-areas, obtain the altitude of each sub-area, and obtain a height sequence;

[0066] Calculate the difference between each data in the height sequence and the preset standard height to obtain the height deviation sequence;

[0067] Add up all the data in the height deviation sequence to obtain the regional height coefficient.

[0068] It should be noted that the regional height coefficient refers to the difference between the actual altitude of the substation to be constructed and the altitude; if the difference between the actual altitude of the substation and the altitude is larger, it means that the carbon emissions during the substation construction period initially calculated based on some data sources are smaller than the actual carbon emissions during the substation construction period, because the change in altitude will cause the change in oxygen content, thereby affecting the fuel oxidation efficiency during the combustion process. In areas with higher altitudes, the oxygen content is lower, which may lead to incomplete combustion of fuel and increase the emission of unburned carbon; the change in altitude may also affect the energy efficiency of the equipment. For example, some equipment may generate more energy loss in areas with higher altitudes, resulting in an increase in carbon emissions; therefore, when the regional height coefficient is larger, it may mean that the carbon emissions during the substation construction period are underestimated compared to the actual situation; at this time, the adjustment coefficient is larger.

[0069] It should be noted that the actual altitude of the substation to be constructed can be obtained through topographic maps and GIS systems, which can provide altitude data of the area where the substation is located. The specific details will not be repeated here. In addition, the preset standard altitude refers to a standard altitude value set for the carbon emissions generated by the construction of the substation, which is set by professionals and the specific details will not be repeated here.

[0070] In one implementation, the above method can accurately calculate the regional height coefficient of the substation to be constructed, and can more accurately calculate the subsequent adjustment coefficient.

[0071] In one embodiment, the environmental data also includes:

[0072] Obtain the temperature and humidity in each sub-construction data set, and obtain the temperature and humidity difference coefficient of the sub-construction data set according to the temperature and humidity;

[0073] The calculation expression of temperature and humidity difference coefficient is as follows:

[0074] in The real-time temperature data and the real-time humidity data are respectively represented. Indicates the time period when the real-time temperature data is outside the optimal temperature range corresponding to the full combustion of resources. Indicates the time period when the real-time humidity data is outside the optimal humidity range corresponding to sufficient combustion of resources.

[0075] and are the preset proportional coefficients for temperature and humidity, respectively, and ;

[0076] It should be noted that the temperature and humidity difference coefficient refers to the degree of difference between the temperature and humidity corresponding to each sub-interval of the substation to be constructed and the optimal temperature and humidity range corresponding to the preset full combustion resources; if the degree of difference is greater, it means that the carbon emissions during the substation construction period initially calculated based on some data sources are smaller than the actual carbon emissions during the substation construction period, because temperature and humidity are important factors affecting combustion efficiency, and their deviation from the optimal temperature and humidity range corresponding to the full combustion resources will directly affect the combustion process of the fuel. If the difference between temperature and humidity and the optimal range is large, it may cause the fuel to fail to burn completely, resulting in reduced combustion efficiency, and then increase the emission of unburned carbon. Therefore, the larger the temperature and humidity difference coefficient, the greater the difference between the actual temperature and humidity and the optimal range, which may mean that the carbon emissions during the substation construction period initially calculated based on some data sources are underestimated compared to the actual carbon emissions.

[0077] It should be noted that the real-time temperature data and the real-time humidity data can be obtained through a meteorological station near the substation, or through other methods, which will not be described in detail;

[0078] It should be noted that the optimal temperature range and the optimal humidity range corresponding to the complete combustion of resources can be set by professionals according to the actual fuel type and the performance characteristics of the combustion equipment, and the details will not be repeated here.

[0079] In one implementation, through the above method, the temperature and humidity difference coefficient corresponding to each sub-interval of the substation can be accurately calculated, and the subsequent adjustment coefficient can be calculated more accurately.

[0080] In one embodiment, obtaining a working state coefficient according to working state data in each sub-construction data set, and obtaining a final evaluation coefficient of the sub-construction data set according to the working state coefficient and the final carbon emissions includes:

[0081] The work progress offset coefficient and carbon emission time concentration coefficient of each sub-construction data set are weighted and summed to obtain the work status coefficient of the sub-construction data set. The specific formula is as follows:

[0082] In the formula, is the working state coefficient, and are the work progress deviation coefficient and carbon emission time concentration coefficient respectively. They represent the proportional coefficients of the work progress deviation coefficient and the carbon emission time concentration coefficient, respectively, and Greater than 0;

[0083] The working state coefficient in each sub-construction data set is multiplied by the corresponding weight coefficient and the final carbon emission to obtain the final evaluation coefficient of the sub-construction data set.

[0084] It should be noted that the corresponding weight coefficient in each sub-interval can be set by professionals according to actual conditions, and the details will not be repeated here.

[0085] In one implementation method, through the above method, by weighted summing the regional height coefficient and the temperature and humidity difference coefficient, and combining the weight coefficient and the initial carbon emission sequence for calculation, the carbon emissions during the substation construction can be evaluated more comprehensively and accurately, providing more effective guidance for carbon emission management and optimization.

[0086] It should be noted that the reason why the regional height coefficient and the temperature and humidity difference coefficient are chosen to calculate the adjustment coefficient instead of other parameters is based on the consideration that they have a significant impact on carbon emissions and a clear quantitative relationship, and these two data are relatively easy to obtain.

[0087] In one embodiment, the working status data includes:

[0088] Obtain the workload completed by the actual construction progress in each sub-construction data set, and calculate the ratio of the actual workload completed to the total workload to obtain the actual work progress;

[0089] The difference between the actual work progress and the corresponding expected work progress is calculated, and the difference is divided by the expected work progress to obtain the work progress deviation coefficient of the sub-construction data set.

[0090] It should be noted that the work progress offset coefficient refers to the degree of offset between the substation construction progress and the expected progress; if the degree of offset between the substation construction progress and the expected progress is greater, it means that the carbon emissions of the substation cannot be evaluated based solely on the value of the carbon emissions. The original assessment of the substation carbon emissions may underestimate the substation carbon emissions. Because the work progress offset coefficient refers to the degree of offset between the substation construction progress and the expected progress, the workers may take measures such as working overtime and increasing work intensity to make up for the impact of the delayed project progress in order to catch up with the construction period. This may cause the equipment to emit carbon in a short period of time, and the actual carbon emissions will be greater than the original assessment of the substation carbon emissions. Therefore, the larger the work progress offset coefficient, the larger the working status coefficient.

[0091] It should be noted that the actual workload completed can be obtained in real time according to the actual situation and will not be elaborated on; in addition, the expected work progress is set by professionals based on the actual situation and will not be elaborated on in detail.

[0092] In one implementation, the above method can accurately reflect the work progress offset coefficient of each sub-interval, and the calculated work progress offset coefficient is more accurate.

[0093] In one embodiment, the working status data further includes:

[0094] Get the carbon emissions at different times in each sub-construction data set and mark them as , w represents the number of carbon emissions at different times, , f is the number of serial numbers and is a positive integer;

[0095] calculate The average , the calculation formula is: Sub-construction data collection Greater than The data of is regrouped to obtain a high emission set, and the data in the high emission set is marked as , q represents Greater than The number of the data, , e is the number of serial numbers and is a positive integer;

[0096] Get every two adjacent The time difference between them is compared with the preset time difference. When the time difference is less than the preset time difference, the two adjacent Recorded as centralized emission data;

[0097] The carbon emission time concentration coefficient of the sub-construction data set is obtained by dividing the number of concentrated emission data in the high emission set by the number of data in the high emission set.

[0098] It should be noted that the carbon emission time concentration coefficient refers to the concentration of carbon emission activities in a substation within a period of time; if the concentration of carbon emission activities in a substation is greater, it means that the carbon emission situation of the substation cannot be evaluated based solely on the value of carbon emissions. The original assessment of the carbon emissions of the substation may underestimate the carbon emissions of the substation, because in a certain period of time, the more concentrated the carbon emissions, the more difficult it may be for the environment to decompose the carbon in a short period of time, and may cause a sharp drop in the oxygen content in the environment, thereby affecting the complete combustion and decomposition process of carbon. In this case, the actual impact of carbon emissions may exceed expectations because the environment does not have enough time to decompose the emitted carbon into harmless substances; therefore, the greater the carbon emission time concentration coefficient, the greater the working state coefficient.

[0099] It should be noted that the preset time difference is set by professionals according to actual conditions, and the details are not elaborated here.

[0100] In one implementation, the above method can accurately reflect the carbon emission time concentration coefficient of each sub-interval, and the calculated carbon emission time concentration coefficient is more accurate.

[0101] In one embodiment, obtaining a working state coefficient according to working state data in each sub-construction data set, and obtaining a final evaluation coefficient of the sub-construction data set according to the working state coefficient and the final carbon emissions includes:

[0102] The work progress offset coefficient and carbon emission time concentration coefficient of each sub-construction data set are weighted and summed to obtain the work status coefficient of the sub-construction data set. The specific formula is as follows:

[0103] In the formula, is the working state coefficient, and are the work progress deviation coefficient and carbon emission time concentration coefficient respectively. They represent the proportional coefficients of the work progress deviation coefficient and the carbon emission time concentration coefficient, respectively, and Greater than 0;

[0104] The working state coefficient in each sub-construction data set is multiplied by the corresponding weight coefficient and the final carbon emission to obtain the final evaluation coefficient of the sub-construction data set.

[0105] It should be noted that the corresponding weight coefficient in each sub-interval can be set by professionals according to actual conditions, and the details will not be repeated here.

[0106] In one implementation method, through the above method, by taking into account the two factors of work progress offset and carbon emission time concentration, the work progress and carbon emission time distribution during the substation construction process can be comprehensively considered, rather than simply relying on carbon emissions. This helps to avoid the one-sidedness and shortcomings of single-factor evaluation and improves the credibility and accuracy of the evaluation results.

[0107] In one embodiment, all final evaluation coefficients in the construction data set are extracted, and abnormal coefficients are screened out to establish an abnormal set, the standard deviation in the abnormal set is calculated, and the standard deviation is compared with a preset standard deviation threshold. The current carbon emission status is evaluated according to the comparison result, including:

[0108] Compare each final evaluation coefficient in the construction data set with a preset final evaluation coefficient threshold, and if the final evaluation coefficient is not less than the preset final evaluation coefficient threshold, record the final evaluation coefficient as an abnormal coefficient;

[0109] All abnormal coefficients are used to establish an abnormal set, and the standard deviation of all abnormal coefficients is calculated, and the standard deviation is compared with the preset standard deviation threshold. If the standard deviation is not less than the preset standard deviation threshold, the current carbon emission state is evaluated as an abnormal state and an alarm is issued;

[0110] If the standard deviation is less than the preset standard deviation threshold, the current carbon emission status is assessed to be normal and no alarm is issued.

[0111] It should be noted that the preset standard deviation threshold and the preset final evaluation coefficient threshold are set by professionals based on actual results and will not be elaborated in detail.

[0112] In one implementation, by calculating the standard deviation, the monitoring of abnormal situations is made more sensitive and accurate. Compared with simple threshold judgment, the standard deviation takes into account the discreteness of the overall data, which can more accurately reflect the actual situation of the data and reduce false positives and false negatives. When the standard deviation is not less than the preset standard deviation threshold, the current carbon emission status is evaluated as abnormal. At this time, an alarm is issued to remind relevant personnel that the evaluation result of carbon emissions is abnormal and relevant measures need to be taken in time to deal with it. This method reflects the evaluation result of the carbon emission status of the substation at the current time more accurately.

[0113] Based on the same inventive concept, the embodiment of the present invention also provides a device for evaluating carbon emissions during substation construction. Figure 2 , Figure 2 A schematic diagram of a structural diagram of a device for assessing carbon emissions during substation construction provided by an embodiment of the present invention includes:

[0114] Construction data module: obtains the initial carbon emission sequence, environmental data and working status data during the substation construction period, and aligns them based on time to obtain a construction data set;

[0115] Division module: divide the construction data set according to the preset time window to obtain several sub-construction data sets; each sub-construction data set includes initial carbon emissions, environmental data and working status data;

[0116] Final carbon emissions module: obtains the adjustment coefficient according to the environmental data in each sub-construction data set, and obtains the final carbon emissions of the sub-construction data set according to the adjustment coefficient and the initial carbon emissions;

[0117] Final evaluation coefficient module: obtains the working status coefficient according to the working status data in each sub-construction data set, and obtains the final evaluation coefficient of the sub-construction data set according to the working status coefficient and the final carbon emissions;

[0118] Evaluation module: extract all final evaluation coefficients in the construction data set, filter out abnormal coefficients, establish an abnormal set, calculate the standard deviation in the abnormal set, and compare the standard deviation with the preset standard deviation threshold, and evaluate the current carbon emission status based on the comparison results.

[0119] Based on an evaluation device for carbon emissions during substation construction provided by an embodiment of the present invention, through the above-mentioned method, taking into account the influence of other factors, the calculated carbon emissions are less different from the actual carbon emissions. At the same time, taking into account the influence of the actual construction progress and other factors, the final carbon emissions evaluation can best guide carbon emissions management and optimization during the construction process.

[0120] The embodiment of the present invention further provides an electronic device, such as Figure 3 As shown, it includes a processor 301, a communication interface 302, a memory 303 and a communication bus 304, wherein the processor 301, the communication interface 302, and the memory 303 communicate with each other through the communication bus 304, and the memory 303 is used to store computer programs; when the processor 301 is used to execute the program stored in the memory 303, the following steps are implemented:

[0121] Obtain the initial carbon emission series, environmental data, and working status data during the substation construction period, and align them based on time to obtain a construction data set;

[0122] The construction data set is divided according to a preset time window to obtain several sub-construction data sets; each sub-construction data set includes initial carbon emissions, environmental data and working status data;

[0123] Obtaining an adjustment coefficient according to the environmental data in each sub-construction data set, and obtaining a final carbon emission of the sub-construction data set according to the adjustment coefficient and the initial carbon emission;

[0124] Obtaining a working status coefficient according to the working status data in each sub-construction data set, and obtaining a final evaluation coefficient of the sub-construction data set according to the working status coefficient and the final carbon emissions;

[0125] Extract all final evaluation coefficients in the construction data set, filter out abnormal coefficients, establish an abnormal set, calculate the standard deviation in the abnormal set, and compare the standard deviation with the preset standard deviation threshold. According to the comparison results, evaluate the current carbon emission status.

[0126] The communication bus mentioned in the above electronic device can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0127] The communication interface is used for communication between the above electronic device and other devices.

[0128] The memory may include a random access memory (RAM) or a non-volatile memory (NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

[0129] The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0130] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A method for assessing carbon emissions during substation construction, characterized in that: The following steps are involved: The initial carbon emission sequence, environmental data and working status data during the substation construction period are obtained, and aligned based on time to obtain a construction data set; the environmental data includes the regional height coefficient and the temperature and humidity difference coefficient; the working status data includes the work progress offset coefficient and the carbon emission time concentration coefficient; Dividing the construction data set according to a preset time window to obtain a plurality of sub-construction data sets; each sub-construction data set includes initial carbon emissions, environmental data and working status data; Obtaining an adjustment coefficient according to the environmental data in each sub-construction data set, and obtaining a final carbon emission of the sub-construction data set according to the adjustment coefficient and the initial carbon emission; Obtaining a working status coefficient according to the working status data in each sub-construction data set, and obtaining a final evaluation coefficient of the sub-construction data set according to the working status coefficient and the final carbon emissions; Extract all final evaluation coefficients in the construction data set, screen out abnormal coefficients, establish an abnormal set, calculate the standard deviation in the abnormal set, and compare the standard deviation with a preset standard deviation threshold, and evaluate the current carbon emission status according to the comparison result; The method for obtaining the regional height coefficient includes: Divide the substation construction area into several sub-areas, obtain the altitude of each sub-area, and obtain a height sequence; Calculate the difference between each data in the height sequence and the preset standard height to obtain the height deviation sequence; Adding all the data in the height deviation sequence to obtain the regional height coefficient; The acquisition of the temperature and humidity difference coefficient includes: Obtain the temperature and humidity in each sub-construction data set, and obtain the temperature and humidity difference coefficient of the sub-construction data set according to the temperature and humidity; The calculation expression of temperature and humidity difference coefficient is as follows: in Respectively represent real-time temperature data and real-time humidity data, Indicates the time period when the real-time temperature data is outside the optimal temperature range corresponding to the full combustion of resources. Indicates the time period when the real-time humidity data is outside the optimal humidity range corresponding to the full combustion of resources; Extract all final evaluation coefficients in the construction data set, filter out abnormal coefficients, establish an abnormal set, calculate the standard deviation in the abnormal set, and compare the standard deviation with a preset standard deviation threshold. According to the comparison result, evaluate the current carbon emission status, including: Compare each final evaluation coefficient in the construction data set with a preset final evaluation coefficient threshold, and if the final evaluation coefficient is not less than the preset final evaluation coefficient threshold, record the final evaluation coefficient as an abnormal coefficient; All abnormal coefficients are used to establish an abnormal set, and the standard deviation of all abnormal coefficients is calculated, and the standard deviation is compared with a preset standard deviation threshold. If the standard deviation is not less than the preset standard deviation threshold, the current carbon emission state is evaluated as an abnormal state, and an alarm is issued; If the standard deviation is less than the preset standard deviation threshold, the current carbon emission state is assessed to be normal and no alarm is issued.

2. A method for assessing carbon emissions during substation construction according to claim 1, characterized in that: The adjustment coefficient is obtained according to the environmental data in each sub-construction data set, and the final carbon emissions of the sub-construction data set are obtained according to the adjustment coefficient and the initial carbon emissions, including: The regional height coefficient and the temperature and humidity difference coefficient in each sub-construction data set are weighted and summed to obtain the adjustment coefficient. The specific formula is as follows: In the formula, is the adjustment coefficient, and are the regional height coefficient and the temperature and humidity difference coefficient, represent the proportionality coefficients of the regional height coefficient and the temperature and humidity difference coefficient, respectively, and All are greater than 0; The adjustment coefficient in each sub-construction data set is multiplied by the corresponding weight coefficient and the initial carbon emissions to obtain the final carbon emissions of the sub-construction data set.

3. The method for evaluating carbon emissions during substation construction according to claim 1, characterized in that: The method for obtaining the work progress offset coefficient includes: Obtain the workload completed by the actual construction progress in each sub-construction data set, and calculate the ratio of the actual workload completed to the total workload to obtain the actual work progress; The difference between the actual work progress and the corresponding expected work progress is calculated, and the difference is divided by the expected work progress to obtain the work progress deviation coefficient of the sub-construction data set.

4. The method for evaluating carbon emissions during substation construction according to claim 1, characterized in that: The method for obtaining the carbon emission time concentration coefficient includes: Get the carbon emissions at different times in each sub-construction data set and mark them as , w represents the number of carbon emissions at different times, , f is the number of serial numbers and is a positive integer; calculate The average , the calculation formula is: Sub-construction data collection Greater than The data of is regrouped to obtain a high emission set, and the data in the high emission set is marked as , q represents Greater than The number of the data, , e is the number of serial numbers and is a positive integer; Get every two adjacent The time difference between them is compared with the preset time difference. When the time difference is less than the preset time difference, the two adjacent Recorded as centralized emission data; The carbon emission time concentration coefficient of the sub-construction data set is obtained by dividing the number of concentrated emission data in the high emission set by the number of data in the high emission set.

5. The method for evaluating carbon emissions during substation construction according to claim 1, characterized in that: The working status coefficient is obtained according to the working status data in each sub-construction data set, and the final evaluation coefficient of the sub-construction data set is obtained according to the working status coefficient and the final carbon emissions, including: The work progress offset coefficient and carbon emission time concentration coefficient of each sub-construction data set are weighted and summed to obtain the work status coefficient of the sub-construction data set. The specific formula is as follows: In the formula, is the working state coefficient, and are the work progress deviation coefficient and carbon emission time concentration coefficient respectively. They represent the proportional coefficients of the work progress deviation coefficient and the carbon emission time concentration coefficient, respectively, and Greater than 0; The working state coefficient in each sub-construction data set is multiplied by the corresponding weight coefficient and the final carbon emission to obtain the final evaluation coefficient of the sub-construction data set.

6. A device for evaluating carbon emissions during substation construction, used to implement a method for evaluating carbon emissions during substation construction as described in any one of claims 1 to 5, characterized in that: The device comprises: Construction data module: obtains the initial carbon emission sequence, environmental data and working status data during the substation construction period, and aligns them based on time to obtain a construction data set; the environmental data includes the regional height coefficient and the temperature and humidity difference coefficient; the working status data includes the work progress offset coefficient and the carbon emission time concentration coefficient; Division module: divide the construction data set according to a preset time window to obtain a number of sub-construction data sets; each sub-construction data set includes initial carbon emissions, environmental data and working status data; Final carbon emissions module: obtains the adjustment coefficient according to the environmental data in each sub-construction data set, and obtains the final carbon emissions of the sub-construction data set according to the adjustment coefficient and the initial carbon emissions; Final evaluation coefficient module: obtains the working status coefficient according to the working status data in each sub-construction data set, and obtains the final evaluation coefficient of the sub-construction data set according to the working status coefficient and the final carbon emissions; Evaluation module: extract all final evaluation coefficients in the construction data set, filter out abnormal coefficients, establish an abnormal set, calculate the standard deviation in the abnormal set, and compare the standard deviation with the preset standard deviation threshold, and evaluate the current carbon emission status based on the comparison results.

7. An electronic device, characterized in that: include: A memory for storing executable instructions; The processor is used to implement a method for evaluating carbon emissions during substation construction as described in each of claims 1 to 5 when executing the executable instructions stored in the memory.

Images