Highway facility carbon emission monitoring method and system based on carbon emission image

Abstract

This invention relates to the field of carbon emission monitoring and energy consumption data processing, specifically a carbon emission monitoring method for highway facilities based on carbon emission profiling. The method establishes a set of zones, a set of facility units, and a related table based on centerline coordinates, facility asset space, and energy supply topology; collects and verifies energy consumption data and energy consumption types from metering units to form a metering data stream; collects the operating status and parameters of facility units to calculate reference energy consumption; converts carbon emissions according to an emission factor library and allocates the total metering amount to facility units based on the reference energy consumption; and constructs a carbon emission profile by summarizing data by zone and time window; calculates deviation indicators to identify anomalies, locates target facility units, and performs data quality judgment, supplementary data collection and updates, and secondary judgment; outputting normal / reconstructed / abnormal profiles and fault category labels. This invention is compatible with multiple loads on a single table, ensures conservation allocation, and improves the accuracy of zone monitoring and the efficiency of anomaly location verification.

Description

Technical Field

[0001] This invention relates to the field of carbon emission monitoring and energy consumption data processing technology, specifically to a method and system for monitoring carbon emissions from highway facilities based on carbon emission profiling. Background Technology

[0002] Highway infrastructure includes lighting, information dissemination, monitoring and communication, toll collection, and electromechanical facilities. These facilities are widely distributed, numerous, and have complex power supply chains. There are scenarios where metering units correspond one-to-one with facility units, as well as scenarios where one metering unit covers multiple facility units. Accounting methods based on the total energy consumption of metering units struggle to create comparable carbon emission profiles across spatial zones and time windows. Furthermore, it is difficult to pinpoint the facility unit level when anomalies occur, leading to a large scope of investigation and high verification costs.

[0003] Meanwhile, data collection is susceptible to data quality issues such as packet loss, delays, outliers, and data collection cycle drift. Without a closed-loop mechanism for identifying, re-collecting, updating, and re-evaluating data quality anomalies, blind spots in the anomaly review process can easily arise, affecting the usability and interpretability of monitoring conclusions. Summary of the Invention

[0004] The purpose of this invention is to provide a technical solution to address one of the aforementioned problems in the prior art. Specifically, this invention is achieved through the following technical solution:

[0005] The method for monitoring carbon emissions from highway facilities based on carbon emission profiling includes the following steps:

[0006] Step 1: Obtain centerline coordinate data, facility asset spatial data, and energy supply topology data; divide the centerline coordinate data by mileage to generate a partition set; generate a facility unit set from the facility asset spatial data, and generate a facility unit partition association table; obtain a facility unit metering association table based on the energy supply topology data.

[0007] Step 2: Collect energy consumption data and energy consumption type at the energy supply inlet of the metering unit, and verify to form a metering data stream;

[0008] Step 3: Collect the operating status data and equipment parameter data of the facility units, and calculate the reference energy consumption based on the operating time, rated power and energy efficiency parameters to form a reference energy consumption flow;

[0009] Step 4: Use the emission factor library to convert the metered data stream into metered carbon emissions and the reference energy consumption stream into reference carbon emissions for facility units; calculate the allocation factor based on the reference energy consumption and allocate the metered carbon emissions according to the facility unit metering association table to obtain the facility unit metered carbon emissions; summarize the facility unit zoning association table and time window to obtain the zoning metered carbon emissions and zoning reference carbon emissions, and construct a zoning carbon emission profile.

[0010] Step 5: Calculate the carbon emission deviation index based on the carbon emission profile of each zone; compare the carbon emission deviation index with the deviation threshold, output the normal carbon emission profile of each zone, otherwise mark the abnormal zone and proceed to step 6;

[0011] Step 6: Calculate the carbon emission deviation of the facility unit based on the metered carbon emission of the facility unit and the reference carbon emission of the facility unit, and sort and determine the target facility units; determine whether the data quality of the metering unit associated with the target facility unit is abnormal; if the data quality is abnormal, supplement the energy consumption data of the energy supply inlet of the metering unit, update the zonal carbon emission profile and recalculate the carbon emission deviation index; if the carbon emission deviation index does not exceed the deviation threshold, output the reconstructed zonal carbon emission profile; if the data quality is normal or the carbon emission deviation index exceeds the deviation threshold, mark the physical fault as abnormal and output the abnormal zonal carbon emission profile.

[0012] Furthermore, the step of generating a partition set by dividing the centerline coordinate data according to mileage includes:

[0013] The centerline coordinate data is linearly referenced and partitioned according to the preset partition length to generate a partition set.

[0014] Furthermore, the process of generating a set of facility units from facility asset spatial data and generating a facility unit partition association table includes:

[0015] Based on the projected mileage of the facility asset spatial data onto the centerline coordinate data, a facility unit partition association table is generated for the partition range falling into the partition set.

[0016] Furthermore, the verification process forms a metering data stream, including: metering unit identifier verification, collection timestamp continuity verification, collection cycle consistency verification, and energy consumption data range verification at the energy supply inlet.

[0017] Furthermore, the data collected includes the operating status data and equipment parameter data of the facility unit, wherein the operating status data includes start / stop status, operating mode, and operating time, and the equipment parameter data includes rated power and energy efficiency parameters.

[0018] Furthermore, the process of calling the emission factor library to convert the metered data stream into metered carbon emissions includes:

[0019] The emission factor database retrieves emission factor entries based on the energy consumption type and time window recorded in the metering data stream; it determines the metered carbon emissions based on the energy consumption data at the energy supply inlet in the metering data stream and the emission factor entries; and it associates the energy consumption type with the reference energy consumption stream through the facility unit metering association table.

[0020] Furthermore, the calculation of the allocation factor based on the reference energy consumption includes:

[0021] The allocation factor is the ratio of the reference energy consumption of the facility unit within the time window to the sum of the reference energy consumption of the facility unit associated with the facility unit metering association table. The sum of the allocation factors associated with the same metering unit is 1.

[0022] Furthermore, the calculation of carbon emission deviation index based on regional carbon emission profiles includes:

[0023] Within a time window, a difference sequence is constructed by comparing the carbon emissions measured in each region with the carbon emissions referenced in that region. The mean of the absolute values ​​of the difference sequence is used as an indicator of carbon emission deviation.

[0024] Furthermore, the determination of whether the data quality of the target facility unit associated with the metering unit is abnormal includes:

[0025] If any verification fails during the verification process to form the metering data stream, the data quality of the target facility unit associated with the metering unit is determined to be abnormal; otherwise, the data quality is normal. The verification failures include: metering unit identifier verification failure, collection timestamp continuity verification failure, collection cycle consistency verification failure, and energy consumption data value range verification failure at the energy supply inlet.

[0026] A carbon emission monitoring system for highway facilities based on carbon emission profiling, which applies the aforementioned carbon emission profiling method for monitoring carbon emissions from highway facilities, includes a processor module, a memory module, a communication module, an emission factor library, a basic data construction module, a metering data stream construction module, a reference energy consumption stream construction module, a carbon emission conversion module, an allocation module, a zone profiling construction module, a deviation assessment module, an anomaly verification module, and an output module.

[0027] The memory, communication module, emission factor library, basic data construction module, metering data stream construction module, reference energy consumption stream construction module, carbon emission conversion module, allocation module, zonal profile construction module, deviation assessment module, anomaly verification module, and output module are all connected to the processor module; the emission factor library is connected to the communication module.

[0028] The basic data construction module is used to acquire centerline coordinate data, facility asset spatial data, and energy supply topology data; divide the centerline coordinate data by mileage to generate a set of partitions; generate a set of facility units from the facility asset spatial data; and generate a facility unit partition association table and a facility unit metering association table.

[0029] The metering data stream construction module is used to collect energy consumption data and energy consumption type at the energy supply inlet of the metering unit, and verify and form a metering data stream;

[0030] The reference energy consumption flow construction module is used to collect the operating status data and equipment parameter data of the facility unit, and calculate the reference energy consumption based on the running time, rated power and energy efficiency parameters to form the reference energy consumption flow;

[0031] The carbon emission conversion module is used to call the emission factor library to convert the metered data stream into metered carbon emissions and the reference energy consumption stream into reference carbon emissions for facility units.

[0032] The allocation module is used to calculate the allocation coefficient based on the reference energy consumption and allocate the metered carbon emissions according to the facility unit metering association table to obtain the metered carbon emissions of the facility unit.

[0033] The aforementioned partitioned profile construction module is used to summarize the partitioned carbon emission amount and the partitioned reference carbon emission amount according to the facility unit partition association table and time window, and to construct the partitioned carbon emission profile.

[0034] The aforementioned deviation assessment module is used to calculate the carbon emission deviation index based on the regional carbon emission profile, compare the carbon emission deviation index with the deviation threshold, and output the normal regional carbon emission profile or mark the abnormal regional profile.

[0035] The aforementioned anomaly verification module is used to calculate the carbon emission deviation of the facility unit based on the metered carbon emission of the facility unit and the reference carbon emission of the facility unit, sort and determine the target facility unit, determine whether the data quality of the metering unit associated with the target facility unit is abnormal, if the data quality is abnormal, supplement the energy consumption data of the energy supply inlet of the metering unit, update the partition carbon emission profile and recalculate the carbon emission deviation index, if the carbon emission deviation index does not exceed the deviation threshold, output the reconstructed partition carbon emission profile, if the data quality is normal or the carbon emission deviation index exceeds the deviation threshold, mark the physical fault as abnormal and output the abnormal partition carbon emission profile.

[0036] The output module is used to output normal zone carbon emission profiles, reconstructed zone carbon emission profiles, and abnormal zone carbon emission profiles.

[0037] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0038] 1. Based on the energy supply topology data, a facility unit metering association table is generated, and the allocation coefficient is calculated based on the reference energy consumption to realize the conservation allocation of metered carbon emissions to the facility unit level and support the anomaly location at the facility unit level;

[0039] 2. By establishing regional carbon emission measurement and reference carbon emission in the dimensions of zoning and time window, a regional carbon emission profile is constructed and a carbon emission deviation index is calculated to identify abnormal zoning.

[0040] 3. Establish a closed loop for review of data quality anomaly identification, supplementary collection, update, and secondary identification. If the data still exceeds the threshold after supplementary collection and update, output an anomaly profile and generate a physical fault anomaly category marker to avoid blind spots in the review process. Attached Figure Description

[0041] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0042] Figure 1 This is a flowchart illustrating a method for monitoring carbon emissions from highway facilities based on carbon emission profiling. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to embodiments and accompanying drawings. The illustrative embodiments and descriptions of this invention are for illustrative purposes only and are not intended to limit the invention. It should be noted that this invention is already in the actual research and development stage.

[0044] Example 1

[0045] like Figure 1 As shown, the method for monitoring carbon emissions from highway facilities based on carbon emission profiling includes the following steps:

[0046] Step 1: Obtain centerline coordinate data, facility asset spatial data, and energy supply topology data; divide the centerline coordinate data by mileage to generate a partition set; generate a facility unit set from the facility asset spatial data, and generate a facility unit partition association table; obtain a facility unit metering association table based on the energy supply topology data.

[0047] Step 2: Collect energy consumption data and energy consumption type at the energy supply inlet of the metering unit, and verify to form a metering data stream;

[0048] Step 3: Collect the operating status data and equipment parameter data of the facility units, and calculate the reference energy consumption based on the operating time, rated power and energy efficiency parameters to form a reference energy consumption flow;

[0049] Step 4: Use the emission factor library to convert the metered data stream into metered carbon emissions and the reference energy consumption stream into reference carbon emissions for facility units; calculate the allocation factor based on the reference energy consumption and allocate the metered carbon emissions according to the facility unit metering association table to obtain the facility unit metered carbon emissions; summarize the facility unit zoning association table and time window to obtain the zoning metered carbon emissions and zoning reference carbon emissions, and construct a zoning carbon emission profile.

[0050] Step 5: Calculate the carbon emission deviation index based on the carbon emission profile of each zone; compare the carbon emission deviation index with the deviation threshold, output the normal carbon emission profile of each zone, otherwise mark the abnormal zone and proceed to step 6;

[0051] Step 6: Calculate the carbon emission deviation of the facility unit based on the metered carbon emission of the facility unit and the reference carbon emission of the facility unit, and sort and determine the target facility units; determine whether the data quality of the metering unit associated with the target facility unit is abnormal; if the data quality is abnormal, supplement the energy consumption data of the energy supply inlet of the metering unit, update the zonal carbon emission profile and recalculate the carbon emission deviation index; if the carbon emission deviation index does not exceed the deviation threshold, output the reconstructed zonal carbon emission profile; if the data quality is normal or the carbon emission deviation index exceeds the deviation threshold, mark the physical fault as abnormal and output the abnormal zonal carbon emission profile.

[0052] Specifically, during the monitoring period, the following procedures will be performed:

[0053] (1) Obtain centerline coordinate data: Centerline coordinate data includes the spatial alignment of the highway centerline and carries mileage reference, which is used to divide the set of zones along the mileage direction.

[0054] (2) Obtaining facility asset spatial data: Facility asset spatial data includes the spatial location and asset identifier of facility assets, and a set of facility units is generated from the facility asset spatial data. The elements of the set of facility units include facility unit identifiers and facility unit spatial locations. Facility units can correspond to facilities along the route such as streetlights, information boards, cameras, and communication cabinets.

[0055] (3) Obtain energy supply topology data: Energy supply topology data includes the energy supply relationship between facility units and metering units. A facility unit metering association table is generated from the energy supply topology data. The facility unit metering association table contains a mapping between facility unit identifiers and metering unit identifiers, which is used to indicate the set of facility units covered by a metering unit.

[0056] (4) Divide the centerline coordinate data by mileage to generate a partition set: The partition set includes spatial partitions divided along the mileage direction, and each partition contains a partition identifier and a mileage range; the partition length of the partition set can be a preset partition length.

[0057] (5) Generate facility unit partition association table: The facility unit partition association table includes the spatial affiliation relationship between facility units and partition sets. The table entries of the facility unit partition association table include facility unit identifier and partition identifier. In one implementation, the projected mileage of the spatial location of the facility unit on the centerline coordinate data falls into the partition range of the partition set, thereby generating the facility unit partition association table.

[0058] The system collects energy consumption data and energy consumption type from the power supply inlet of the metering unit, performs verification, and generates a metering data stream. Records in the metering data stream include the metering unit identifier, collection timestamp, collection period, power supply inlet energy consumption data, and energy consumption type.

[0059] The energy consumption type is an identifier used to retrieve emission factor entries. The energy consumption type can represent the energy supply medium type identifier, which can be electricity, diesel, natural gas, etc. In the electricity scenario, the energy consumption type can be a combined identifier that includes the energy supply medium type and the emission factor partition identifier to match the entry key in the emission factor database. The energy consumption type can be reported by the metering unit or preset by the metering unit attribute data and bound to the energy consumption data at the energy supply inlet when forming the metering data stream.

[0060] The verification includes: metering unit identifier verification, data collection timestamp continuity verification, data collection cycle consistency verification, and energy consumption data range verification at the energy supply inlet; the verification results are used for subsequent data quality anomaly identification.

[0061] The timestamp continuity check is used to determine whether there are time coverage breaks or out-of-order issues in the metering data stream records formed by the same metering unit within a preset time window. The timestamp continuity check includes: sorting the metering data stream records of the same metering unit in ascending order of their timestamps; if there is a timestamp rollback or duplicate timestamps, the continuity check is deemed to have failed; if no failure is found, the expected sampling interval is determined based on the sampling period in the metering data stream records or a preset sampling period, and the timestamp difference between adjacent records is calculated in conjunction with a preset timestamp tolerance threshold. When the timestamp difference is greater than the sum of the expected sampling interval and the timestamp tolerance threshold, a timestamp gap is identified, and the start and end timestamps of the gap and the number of missing times are recorded; when the number of missing times exceeds a preset upper limit or the gap causes insufficient coverage at the beginning and end of the time window, the continuity check is deemed to have failed, and the gap information is written into the check result for subsequent metering unit data quality anomaly identification and determination of the supplementary sampling time range.

[0062] The system collects operational status data and equipment parameter data for facility units. Operational status data includes start / stop status, operating mode, and operating duration. Equipment parameter data includes rated power and energy efficiency parameters. Based on the operating duration, rated power, and energy efficiency parameters, a reference energy consumption is calculated and a reference energy consumption stream is generated. Each record in the reference energy consumption stream includes a facility unit identifier, a time window identifier, and the reference energy consumption. The reference energy consumption is:

[0063]

[0064] in, For facility units In the time window Reference energy consumption within, For facility units In the time window runtime within, For facility units Rated power, For facility units Energy efficiency parameters, facility unit For elements of a facility unit set, time window This is the preset statistics window.

[0065] The emission factor library is used to convert the metered data stream into metered carbon emissions. The emission factor library contains emission factor entries indexed by energy consumption type and time window; the energy consumption type in the metered data stream is used to retrieve the corresponding emission factor entry; the metered carbon emissions are:

[0066]

[0067] in, For measurement unit In the time window Measuring carbon emissions within the region For measurement unit In the time window Energy consumption at the internal energy supply inlet. Energy consumption type In the time window Emission factors within the metering unit For elements of a set of metering units, energy consumption type This is an identifier for the energy consumption type recorded in the metering data stream.

[0068] The reference energy consumption stream is converted into a facility unit reference carbon emission by calling the emission factor library. In one implementation, the reference energy consumption stream is bound to the energy consumption type of the metering data stream through a facility unit metering association table, enabling the reference energy consumption stream to have emission factor retrieval conditions during the conversion stage; the facility unit reference carbon emission is:

[0069]

[0070] in, For facility units In the time window Reference carbon emissions within the region.

[0071] When a metering unit covers multiple facility units, the metered carbon emissions are the total at the metering unit level. To form the facility unit-level metered carbon emissions, an allocation factor is calculated based on reference energy consumption, and a conservation allocation is performed. The facility unit metering association table is used to determine the metering unit... Related set of facility units The apportionment coefficient is:

[0072]

[0073] in, For facility units In the time window Internal relative to measurement unit The apportionment coefficient, For the facility unit metering association table and metering unit A collection of associated facility units, for The facility unit index; the carbon emissions per facility unit are:

[0074]

[0075] in, For facility units In the time window The carbon emissions of the facilities within the facility are measured.

[0076] In the same unit of measurement Related set of facility units Within this system, the summation of the allocation coefficients is 1, ensuring that the summation of the carbon emissions measured by the facility unit is consistent with the carbon emissions measured by the metering unit, thus satisfying the conservation allocation requirement.

[0077] The carbon emissions measured by facility units and the reference carbon emissions of facility units are summarized according to the facility unit zoning association table and time window to obtain the zoning carbon emissions measured by each zone and the zoning reference carbon emissions, and a zoning carbon emission profile is constructed. The zoning carbon emission profile is a structured record indexed by the zone identifier and the time window identifier, and at least includes the zoning carbon emissions measured by each zone and the zoning reference carbon emissions. When facility unit hierarchical positioning is required, the zoning carbon emission profile may also include a set field of zoning carbon emissions measured by each facility unit and the zoning reference carbon emissions. The zoning carbon emissions are:

[0078]

[0079] in, For partitioning In the time window The carbon emissions are measured in zones within the area. For partitioning In the time window The zoning within the area is based on carbon emissions. For elements of the partitioned set, For the facility unit partition association table, the partition falls into the partition. A collection of facility units.

[0080] Carbon emission deviation indices are calculated based on regional carbon emission profiles and compared with deviation thresholds to identify abnormal regions. (Time window) It includes multiple sampling periods, with the sampling period being the recording granularity of the metered data stream and the reference energy consumption stream; within the time window Within the region, carbon emissions are measured in different zones and compared with reference carbon emissions for those zones according to the sampling period, and a difference series is constructed. The mean of the absolute values ​​of the difference series is used as an indicator of carbon emission deviation. The carbon emission deviation indicator is:

[0081]

[0082] in, For partitioning In the time window Carbon emission deviation index within the region. For time windows Number of sampling periods within, For sampling period index, For partitioning In the time window Inner sampling period Zoned measurement of carbon emissions, For partitioning In the time window Inner sampling period The zoning is based on carbon emissions.

[0083] When the carbon emission deviation index does not exceed the deviation threshold, a normal partition carbon emission profile is output; when the carbon emission deviation index exceeds the deviation threshold, the abnormal partition is marked and the abnormal review process begins.

[0084] For abnormal zones, perform facility unit-level location and supplementary data update closed loop:

[0085] (1) Calculate the carbon emission deviation of facility units based on the measured carbon emissions of facility units and the reference carbon emissions of facility units. Sort the facility units in the abnormal zone according to the carbon emission deviation of facility units and determine the target facility units; the carbon emission deviation of facility units is:

[0086]

[0087] in, For facility units In the time window The carbon emission deviation of facility units within the facility is determined; based on the unit deviation threshold, the carbon emission deviation of facility units is screened, and facility units whose carbon emission deviation exceeds the unit deviation threshold constitute the target candidate set; when the target candidate set is not empty, the facility units in the target candidate set are determined as target facility units; when the target candidate set is empty, the facility units are sorted in descending order of carbon emission deviation and the facility unit at the top of the sort is determined as the target facility unit.

[0088] (2) Perform data quality anomaly judgment on the target facility unit associated with the metering unit. The data quality anomaly judgment is determined based on the verification result of the metering data stream. When the metering unit identifier verification fails, the collection timestamp continuity verification fails, the collection cycle consistency verification fails, or the energy consumption data value range verification at the energy supply inlet fails, the data quality anomaly is judged to be true.

[0089] (3) When the data quality is abnormal, the energy consumption data of the power supply inlet of the metering unit is collected again, and the carbon emission conversion, allocation and regional summary are repeatedly executed to update the regional carbon emission profile. Then the carbon emission deviation index is recalculated. When the carbon emission deviation index does not exceed the deviation threshold, the reconstructed regional carbon emission profile is output. The reconstructed regional carbon emission profile is the regional carbon emission profile that meets the threshold condition after the data is collected and updated.

[0090] (4) When the data quality anomaly is false or the carbon emission deviation index still exceeds the deviation threshold after supplementary collection and update, output the carbon emission profile of the abnormal partition and generate a physical fault anomaly category marker. The physical fault anomaly category marker is used to trigger on-site maintenance or further diagnostic processes.

[0091] Example 2

[0092] A carbon emission monitoring system for highway facilities based on carbon emission profiling, which applies the aforementioned carbon emission profiling method for monitoring carbon emissions from highway facilities, includes a processor module, a memory module, a communication module, an emission factor library, a basic data construction module, a metering data stream construction module, a reference energy consumption stream construction module, a carbon emission conversion module, an allocation module, a zone profiling construction module, a deviation assessment module, an anomaly verification module, and an output module.

[0093] The memory, communication module, emission factor library, basic data construction module, metering data stream construction module, reference energy consumption stream construction module, carbon emission conversion module, allocation module, zonal profile construction module, deviation assessment module, anomaly verification module, and output module are all connected to the processor module; the emission factor library is connected to the communication module.

[0094] The basic data construction module is used to acquire centerline coordinate data, facility asset spatial data, and energy supply topology data. It divides the centerline coordinate data by mileage to generate a set of partitions, generates a set of facility units from the facility asset spatial data, and generates a facility unit partition association table and a facility unit metering association table.

[0095] The metering data stream construction module is used to collect energy consumption data and energy consumption type at the energy supply inlet of the metering unit, and verify and form a metering data stream;

[0096] The reference energy consumption flow construction module is used to collect the operating status data and equipment parameter data of facility units, and calculate the reference energy consumption to form the reference energy consumption flow based on the running time, rated power and energy efficiency parameters;

[0097] The carbon emission conversion module is used to call the emission factor library to convert the metered data stream into metered carbon emissions and the reference energy consumption stream into reference carbon emissions for facility units.

[0098] The allocation module is used to calculate the allocation coefficient based on the reference energy consumption and allocate the metered carbon emissions according to the facility unit metering association table to obtain the metered carbon emissions of the facility unit.

[0099] The zone profile construction module is used to summarize the zone-based carbon emission measurement and reference carbon emission by facility unit zone association table and time window, and to construct a zone-based carbon emission profile.

[0100] The deviation assessment module is used to calculate the carbon emission deviation index based on the carbon emission profile of the region, compare the carbon emission deviation index with the deviation threshold, and output the carbon emission profile of the normal region or mark the abnormal region.

[0101] The anomaly verification module is used to calculate the carbon emission deviation of the facility unit based on the carbon emission of the facility unit and the reference carbon emission of the facility unit, and sort and determine the target facility unit. It judges whether the data quality of the metering unit associated with the target facility unit is abnormal. If the data quality is abnormal, it supplements the energy consumption data of the energy supply inlet of the metering unit, updates the partition carbon emission profile, and recalculates the carbon emission deviation index. If the carbon emission deviation index does not exceed the deviation threshold, it outputs the reconstructed partition carbon emission profile. If the data quality is normal or the carbon emission deviation index exceeds the deviation threshold, it marks the physical fault as abnormal and outputs the abnormal partition carbon emission profile.

[0102] The output module is used to output normal zone carbon emission profiles, reconstructed zone carbon emission profiles, and abnormal zone carbon emission profiles.

[0103] Example 3

[0104] Building upon Example 1, to adapt to different zoning load levels and seasonal fluctuations, a dynamic deviation threshold generation mechanism can be introduced to replace or correct the deviation threshold. The dynamic deviation threshold can be based on zoning. The historical time window carbon emission deviation index series forms a baseline mean and volatility, and a threshold is generated based on this. The baseline mean of carbon emission deviation is:

[0105]

[0106] in, For partitioning In the time window The baseline mean of carbon emission deviation within the region. To update the coefficients.

[0107] in, For partitioning In the time window The baseline variance of carbon emission deviation within the range.

[0108]

[0109] in, For partitioning In the time window The dynamic deviation threshold within, For threshold coefficient, For partitioning In the time window The baseline standard deviation of carbon emission deviation within the range.

[0110] In practical applications, the deviation threshold in step five can be configured as follows: Or, the deviation threshold and Combine them to reduce false alarms and false negatives.

[0111] Example 4

[0112] Within certain time windows, the sum of reference energy consumption for facility units associated with the same metering unit may approach zero, leading to a risk of zero denominator in the allocation factor calculation. To ensure the allocation factor is calculable and maintains a conserved allocation chain, a fallback mechanism can be introduced:

[0113] When the denominator of the allocation factor is 0 or lower than the preset lower limit, the rated power weight or the allocation factor of the previous time window is used as a fallback. The fallback allocation factor is:

[0114]

[0115] in, For facility units In the time window The underlying cost-sharing coefficient.

[0116]

[0117] in, For facility units In the time window The previous time window allocation coefficient catch-up value.

[0118] When the fallback mechanism is triggered, the carbon emissions are still allocated according to the fallback allocation coefficient to form the carbon emissions of the facility unit. The fallback trigger event can be written into the quality identifier field of the zonal carbon emission profile to support subsequent review.

[0119] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for monitoring carbon emissions from highway facilities based on carbon emission profiling, characterized in that, Includes the following steps: Step 1: Obtain centerline coordinate data, facility asset spatial data, and energy supply topology data; divide the centerline coordinate data by mileage to generate a partition set; generate a facility unit set from the facility asset spatial data, and generate a facility unit partition association table; obtain a facility unit metering association table based on the energy supply topology data. Step 2: Collect energy consumption data and energy consumption type at the energy supply inlet of the metering unit, and verify to form a metering data stream; Step 3: Collect the operating status data and equipment parameter data of the facility units, and calculate the reference energy consumption based on the operating time, rated power and energy efficiency parameters to form a reference energy consumption flow; Step 4: Use the emission factor library to convert the metered data stream into metered carbon emissions and the reference energy consumption stream into reference carbon emissions for facility units; calculate the allocation factor based on the reference energy consumption and allocate the metered carbon emissions according to the facility unit metering association table to obtain the facility unit metered carbon emissions; summarize the facility unit zoning association table and time window to obtain the zoning metered carbon emissions and zoning reference carbon emissions, and construct a zoning carbon emission profile. Step 5: Calculate the carbon emission deviation index based on the carbon emission profile of each zone; compare the carbon emission deviation index with the deviation threshold, output the normal carbon emission profile of each zone, otherwise mark the abnormal zone and proceed to step 6; Step 6: Calculate the carbon emission deviation of the facility unit based on the metered carbon emission of the facility unit and the reference carbon emission of the facility unit, and sort and determine the target facility units; determine whether the data quality of the metering unit associated with the target facility unit is abnormal; if the data quality is abnormal, supplement the energy consumption data of the energy supply inlet of the metering unit, update the zonal carbon emission profile and recalculate the carbon emission deviation index; if the carbon emission deviation index does not exceed the deviation threshold, output the reconstructed zonal carbon emission profile; if the data quality is normal or the carbon emission deviation index exceeds the deviation threshold, mark the physical fault as abnormal and output the abnormal zonal carbon emission profile.

2. The method for monitoring carbon emissions from highway facilities based on carbon emission profiling according to claim 1, characterized in that, The process of generating a partition set by dividing the centerline coordinate data by mileage includes: The centerline coordinate data is linearly referenced and partitioned according to the preset partition length to generate a partition set.

3. The method for monitoring carbon emissions from highway facilities based on carbon emission profiling according to claim 1, characterized in that, The process of generating a set of facility units from facility asset spatial data and generating a facility unit partition association table includes: Based on the projected mileage of the facility asset spatial data onto the centerline coordinate data, a facility unit partition association table is generated for the partition range falling into the partition set.

4. The method for monitoring carbon emissions from highway facilities based on carbon emission profiling according to claim 1, characterized in that, The verification process forms a metering data stream, including: metering unit identifier verification, collection timestamp continuity verification, collection cycle consistency verification, and energy consumption data range verification at the energy supply inlet.

5. The method for monitoring carbon emissions from highway facilities based on carbon emission profiling according to claim 1, characterized in that, The aforementioned data collection facility unit includes operational status data and equipment parameter data, wherein the operational status data includes start / stop status, operating mode, and operating duration, and the equipment parameter data includes rated power and energy efficiency parameters.

6. The method for monitoring carbon emissions from highway facilities based on carbon emission profiling according to claim 1, characterized in that, The process of calling the emission factor library to convert the metered data stream into metered carbon emissions includes: The emission factor database retrieves emission factor entries based on the energy consumption type and time window recorded in the metering data stream; it determines the metered carbon emissions based on the energy consumption data at the energy supply inlet in the metering data stream and the emission factor entries; and it associates the energy consumption type with the reference energy consumption stream through the facility unit metering association table.

7. The method for monitoring carbon emissions from highway facilities based on carbon emission profiling according to claim 1, characterized in that, The calculation of the allocation factor based on the reference energy consumption includes: The allocation factor is the ratio of the reference energy consumption of the facility unit within the time window to the sum of the reference energy consumption of the facility unit associated with the facility unit metering association table. The sum of the allocation factors associated with the same metering unit is 1.

8. The method for monitoring carbon emissions from highway facilities based on carbon emission profiling according to claim 1, characterized in that, The calculation of carbon emission deviation index based on regional carbon emission profiles includes: Within a time window, a difference sequence is constructed by comparing the carbon emissions measured in each region with the carbon emissions referenced in that region. The mean of the absolute values ​​of the difference sequence is used as an indicator of carbon emission deviation.

9. The method for monitoring carbon emissions from highway facilities based on carbon emission profiling according to claim 1, characterized in that, The determination of whether the data quality of the target facility unit associated with the metering unit is abnormal includes: If the following errors occur during the verification process of forming the metering data stream: metering unit identifier verification failure, collection timestamp continuity verification failure, collection cycle consistency verification failure, or energy consumption data range verification failure at the energy supply inlet, the data quality of the associated metering unit of the target facility unit is considered abnormal; if none of these occur, the data quality is considered normal.

10. A carbon emission monitoring system for highway facilities based on carbon emission profiling, characterized in that, The method for monitoring carbon emissions of highway facilities based on carbon emission profiling according to any one of claims 1-9 includes a processor module, a memory, a communication module, an emission factor library, a basic data construction module, a metering data stream construction module, a reference energy consumption stream construction module, a carbon emission conversion module, an allocation module, a regional profiling construction module, a deviation assessment module, an anomaly verification module, and an output module. The memory, communication module, emission factor library, basic data construction module, metering data stream construction module, reference energy consumption stream construction module, carbon emission conversion module, allocation module, zonal profile construction module, deviation assessment module, anomaly verification module, and output module are all connected to the processor module; the emission factor library is connected to the communication module.

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