Project engineering whole process data intelligent evaluation system

Abstract

The invention relates to the field of engineering management, in particular to a project engineering whole-process data intelligent evaluation system which comprises a project relation construction module, a carbon emission information acquisition module, a correlation analysis module, a path optimization module, a carbon emission improvement analysis module and a management database. According to the system, the whole process of a project is divided into construction stages, a network diagram is drawn, a carbon emission source is identified, emission factors are associated to carry out carbon emission accounting, the carbon emission proportion of each device in the corresponding stage is calculated, key devices are screened, correlation is analyzed, an optimal combination scheme is provided, device use can be optimized, overall carbon emission in the construction stage is reduced, and the construction efficiency is improved. And meanwhile, whether the transportation path is optimized or not is judged in combination with the transportation mileage and carbon emission correlation coefficient, the transportation cost and the transportation time, so that the optimized path is found for each transportation material through the weighted graph, the carbon emission in the transportation link is reduced, and the overall benefit of the project is enhanced.

Description

Technical Field

[0001] The present invention relates to the field of project management, and more specifically, to an intelligent evaluation system for the whole process data of project engineering. Background Art

[0002] In the context of the world's active response to climate change and efforts to achieve carbon emission reduction goals, the project engineering field, as one of the important sources of carbon emissions, its carbon emission detection and energy conservation work are particularly crucial. With the acceleration of the industrialization and urbanization processes, the scale of various project engineering projects continues to expand. From infrastructure construction to large industrial projects, their construction and operation processes consume a large amount of energy and generate a huge amount of carbon emissions. According to relevant statistical data, the carbon emissions of the construction and infrastructure construction industries account for a quite large proportion of the global total emissions, and this proportion is still on the rise in some developing countries.

[0003] The whole process of project engineering involves many links. From project planning, design, construction to operation and maintenance, there are problems of energy consumption and carbon emissions in each stage. Achieving carbon emission detection and energy conservation throughout the whole process of project engineering not only helps to reduce the operation cost of the project and improve the sustainability of the project, but also is an inevitable requirement to respond to the global call for green development and promote the low-carbon transformation of the economic society.

[0004] However, the existing technologies still have deficiencies in carbon emission detection and implementation of energy conservation measures. For example, the Chinese patent with the application number 202310918062.X discloses a carbon emission accounting method for regional water environment governance. This solution calculates the carbon emissions of the target area based on the emission source activity level and carbon emission factors in the carbon emission information, and calculates the carbon emission reduction amount of the target area based on the carbon emission reduction activity level and carbon reduction factors in the carbon emission reduction information; it accounts for the total carbon emissions of regional water environment governance based on the carbon emissions and carbon emission reduction amounts of multiple target areas, and proposes a systematic carbon emission accounting method, realizing the quantitative accounting of carbon emissions in regional water environment governance.

[0005] But this solution has the following deficiencies: The accounting method for water environment governance in this solution mainly conducts accounting based on existing data and fixed calculation formulas, lacking intelligent data collection and analysis means. For possible changes during the actual operation process, such as adjustments to treatment processes and fluctuations in equipment operation status, it lacks the ability of dynamic tracking and timely response, and may be difficult to adapt to complex and changeable actual situations.

[0006] Second, although this solution can calculate the net carbon emissions of each area and the total carbon emissions of the region, it lacks a comprehensive effect evaluation and feedback mechanism for the adopted carbon emission reduction measures, and cannot determine whether these measures have truly achieved the expected emission reduction effect and how to further optimize these measures to improve the emission reduction efficiency. Summary of the Invention

[0007] To overcome the disadvantages in the background art, an embodiment of the present invention provides an intelligent evaluation system for the whole-process data of project engineering, which can effectively solve the problems involved in the above-mentioned background art.

[0008] The object of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent evaluation system for the whole-process data of project engineering, including: a project relationship construction module, which is used to disassemble the whole process of project engineering into each construction stage, and draw a project network diagram according to its sequence and logical dependency relationship.

[0009] A carbon emission information acquisition module, which is used to combine the project network diagram, identify the carbon emission sources in the project, obtain the activity equipment and its carbon emission types in each construction stage, associate the carbon emission factors, and calculate the carbon emissions according to the carbon emission sources.

[0010] A correlation analysis module, which is used to calculate the carbon emission proportion of each activity equipment in the corresponding construction stage according to the carbon emission calculation, screen each key equipment, and conduct a correlation analysis on the equipment according to the emission types of each activity equipment in each construction stage, so as to provide an optimal combination plan for each key equipment.

[0011] A path optimization module, which is used to judge whether to optimize the transportation path according to the correlation coefficient between the transportation mileage and the carbon emissions, and then find the optimized transportation path of each transported material through a weighted graph.

[0012] A carbon emission improvement analysis module, which is used to evaluate the carbon emission reduction rate after implementing the optimization measures and provide feedback to the system.

[0013] A management database, which is used to store the engineering construction process standards, the carbon emission factors corresponding to each carbon emission source, the information of each activity equipment and the energy consumption values, and the relevant information of each construction stage of the project engineering.

[0014] Preferably, the project relationship construction module includes the steps of: disassembling the whole process of the project engineering from the start to the end into each construction stage according to all the operation contents involved and the expected time interval, and clarifying the sequence of the start and end of each construction stage according to the established engineering construction process standards of the project engineering, so as to construct a logical dependency relationship.

[0015] Determine each construction stage as an independent node in the project network diagram, starting from the starting construction stage of the project engineering as the entry point, arrange the nodes according to the sequence of the start and end of each construction stage that has been clarified, and connect the nodes with logical associations with arrow lines according to the pre-constructed logical dependency relationship, so as to draw the project network diagram.

[0016] Preferably, the specific analysis method of the carbon emission information acquisition module is as follows: sort out potential carbon emission sources according to each construction stage divided in the project network diagram to generate a list of potential carbon emission sources, and the carbon emission sources include equipment operation and material transportation.

[0017] According to each construction stage, identify the nodes related to equipment operation, denoted as each equipment node, obtain the equipment involved in each equipment node and organize it into an equipment node list, recording the construction stage and equipment name to which it belongs.

[0018] Read the estimated time intervals of each construction stage from the project network diagram, screen out the equipment with operation activities arranged for each equipment node within the estimated time intervals, denoted as each activity equipment in each construction stage, and determine the carbon emission types of the each activity equipment.

[0019] Preferably, the specific analysis method of the carbon emission accounting is as follows: for the carbon emission sources of equipment operation, according to the carbon emission types of each activity equipment, perform matching operations with the corresponding carbon emission factors of each carbon emission type stored in the management database to obtain the carbon emission factor values of each activity equipment.

[0020] Deploy various sensors at the project site to monitor the energy consumption values of each activity equipment in the estimated time intervals of its respective construction stages in real time, calculate the product of the energy consumption values and the carbon emission factor values of each activity equipment, and obtain the carbon emission values of each activity equipment in each construction stage of the project.

[0021] For the carbon emission sources of material transportation, obtain the transportation materials and transportation methods involved in each construction stage of the project, clarify the weight of the transportation materials and the transportation mileage, refer to industry reports to determine the carbon emission factors corresponding to the transportation methods, and match the carbon emission factors of the transportation methods involved in each construction stage of the project according to the transportation methods involved in each construction stage of the project.

[0022] Calculate the product of the weight of the transportation materials, the transportation mileage, and the carbon emission factors of the corresponding transportation methods for the transportation materials involved in each construction stage of the project respectively, and obtain the material transportation carbon emission values of each transportation material in each construction stage of the project.

[0023] Preferably, the specific operation method for screening each key equipment is as follows: obtain the carbon emission values of each activity equipment in each construction stage of the project and the carbon emission values of equipment operation in each construction stage. For each activity equipment, divide its carbon emission value in each construction stage by the carbon emission value of equipment operation in the corresponding construction stage to obtain the carbon emission proportion of each activity equipment in the corresponding construction stage.

[0024] Sort the carbon emission ratios of each active device in the corresponding construction stage from high to low, set the upper limit of the ratio threshold, and screen out each active device whose carbon emission ratio in the corresponding construction stage is greater than the set upper limit of the ratio threshold, which is recorded as each key device.

[0025] Preferably, the specific analysis method of the correlation analysis is: count the total carbon emission values of each emission type in each construction stage, and the emission types of each active device in each construction stage. For any two emission types, calculate the correlation coefficient between the emission types respectively using the calculation formula of the Pearson correlation coefficient.

[0026] If the correlation coefficient between emission types is greater than 0, it indicates that there is a positive correlation between these two emission types, that is, an increase in one emission type may be accompanied by an increase in the other emission type. If the correlation coefficient between emission types is less than 0, it indicates that there is a negative correlation between these two emission types, that is, an increase in one emission type may be accompanied by a decrease in the other emission type. If the correlation coefficient between emission types is equal to 0, it indicates that there is no linear correlation between these two emission types.

[0027] Preferably, the specific analysis method for providing the optimal combination plan for each key device is: based on the correlation coefficient between emission types, divide several possible related device combinations for each key device. For each related combination of key devices, calculate the total carbon emission value of each related combination of key devices in all construction stages according to the carbon emission values of each existing active device in the corresponding construction stage.

[0028] Select one of the related combinations of key devices as the reference combination, compare the total carbon emission values of each related combination of key devices in each construction stage with the total carbon emission values of the reference combination in each construction stage, and evaluate the emission reduction effect of each related combination of key devices relative to the reference combination.

[0029] Select the related combination with the highest emission reduction effect of each key device relative to the reference combination as the optimal plan for each key device.

[0030] Preferably, the specific analysis method for judging whether to optimize the transportation route is: read the transportation mileage of the transportation materials involved in each construction stage of the project and the carbon emission value of material transportation in each construction stage of the project, and draw a scatter plot with the transportation mileage as the abscissa and the carbon emission value of material transportation as the ordinate.

[0031] Calculate the correlation coefficient between the transportation mileage and the carbon emissions. When the correlation coefficient is equal to 0, it indicates that there is no linear correlation between the two, that is, the change in transportation mileage has no obvious impact on carbon emissions, and there are other factors that play a major role in carbon emissions. When the correlation coefficient is equal to 1, it indicates that there is a positive correlation between the transportation mileage and the carbon emissions, that is, as the transportation mileage increases, the carbon emissions will increase significantly, and the carbon emission value can be reduced by optimizing the transportation route.

[0032] Preferably, the specific analysis method for the optimized transportation routes of each transportation material is as follows: abstract the transportation network of material transportation as a weighted graph, where the nodes respectively represent the supply locations of the transportation materials and the corresponding demand locations of the transportation materials, and the weight of the edge represents the distance.

[0033] Determine the node corresponding to the supply location of the transportation material as the source node, and find the shortest path from the source node to the nodes corresponding to all other demand locations of the transportation materials in the weighted graph as the optimized transportation routes of each transportation material.

[0034] Preferably, the specific analysis method of the carbon emission improvement analysis module is as follows: after implementing the optimal combination scheme of each key equipment, monitor the carbon emissions again under the same construction conditions and construction content to obtain the carbon emission values of each activity equipment in each construction stage of the optimized project engineering. By comparing with those before optimization, calculate the reduction rate of equipment operation carbon emissions in each construction stage of the project engineering.

[0035] For the optimized transportation route line, after the optimized transportation routes of each transportation material are implemented, on the premise of ensuring the timely supply of building materials and no impact on construction, re - calculate the carbon emission values of material transportation of each transportation material in each construction stage of the project engineering. By comparing with those before optimization, calculate the reduction rate of material transportation carbon emissions in each construction stage.

[0036] Feed back the carbon emission reduction rate to the system.

[0037] Compared with the prior art, the present invention has the following beneficial effects: First, the system can accurately identify the carbon emission sources in the project, detail the carbon emissions of the activity equipment and material transportation in each construction stage, and clearly understand the project carbon footprint by real - time monitoring the various energy consumption values of each activity equipment and dynamically analyzing by associating with carbon emission factors.

[0038] Second, by performing correlation analysis on the equipment, screening key equipment and formulating the optimal combination scheme, the system can ensure that the equipment works in coordination with each other on the premise of meeting the construction requirements, reduce unnecessary energy consumption and carbon emissions, improve the equipment utilization rate at the same time, and reduce costs.

[0039] III. This system optimizes the transportation route according to the relationship between the transportation mileage and carbon emissions, reduces the carbon emissions of material transportation, helps the project achieve the goals of energy conservation and emission reduction, and can also reduce the transportation cost, improve the transportation efficiency, and enhance the overall resource utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0041] Figure 1 It is a system module connection diagram of the present invention.

[0042] Figure 2 It is Figure 1 a flowchart of the project relationship construction module in

[0043] Figure 3 It is Figure 1 a flowchart of carbon emission accounting in the carbon emission information acquisition module in DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0045] Please refer to Figure 1 as shown, a full-process data intelligent evaluation system for project engineering includes a project relationship construction module, a carbon emission information acquisition module, a correlation analysis module, a path optimization module, a carbon emission improvement analysis module, and a management database.

[0046] The management database is connected to the carbon emission information acquisition module, the correlation analysis module, the path optimization module, and the carbon emission improvement analysis module. The carbon emission information acquisition module is connected to the project relationship construction module, the correlation analysis module, and the path optimization module. The carbon emission improvement analysis module is connected to the correlation analysis module and the path optimization module.

[0047] The project relationship construction module is used to disassemble the whole process of project engineering into each construction stage, and draw a project network diagram according to its sequence and logical dependency relationship.

[0048] Please refer to Figure 2As shown in the figure, the project relationship construction module includes the following steps: The whole process of the project from start to end is disassembled into each construction stage according to all the operation contents involved and the expected time interval. Based on the established engineering construction technology standards of the project, the sequence of the start and end of each construction stage is clarified, and the logical dependency relationship is constructed. During the process of sorting out each construction stage and its logical relationship, potential risk points can be more easily identified. For example, the delay of a certain stage may have a chain reaction on the subsequent stages that depend on it. Identifying these risks in advance and formulating countermeasures will help reduce project risks.

[0049] It should be noted that the logical dependency relationship mainly includes the following types: Finish-Start: Only after the previous work package or construction task is completed can the subsequent work package or construction task start.

[0050] Start-Start: Two work packages or construction tasks can start simultaneously, but the start of the subsequent work package or construction task requires a certain amount of preparatory work to be completed by the previous work package or construction task.

[0051] Finish-Finish: Only after the previous work package or construction task is completed can the subsequent work package or construction task be completed.

[0052] Start-Finish: The completion of the subsequent work package or construction task depends on the start of the previous work package or construction task.

[0053] Each construction stage is determined as an independent node in the project network diagram. Starting from the initial construction stage of the project as the entry point, the nodes are arranged according to the established sequence of the start and end of each construction stage. According to the pre-constructed logical dependency relationship, the nodes with logical associations are connected with arrow lines, thus drawing the project network diagram. The network diagram can intuitively show the dependency relationship between each construction stage. When a problem or delay occurs at a certain node, it is easy to judge its impact on other nodes and the overall project progress, which helps to discover potential problems in advance and take preventive and solution measures in time to avoid the expansion of problems.

[0054] The carbon emission information acquisition module is used to identify the carbon emission sources in the project in combination with the project network diagram, obtain the activity equipment and its carbon emission types in each construction stage, associate the carbon emission factors, and conduct carbon emission accounting according to the carbon emission sources.

[0055] The specific analysis method of the carbon emission information acquisition module is as follows: Sort out the potential carbon emission sources in the project network diagram according to each construction stage divided, and generate a list of potential carbon emission sources. The carbon emission sources include equipment operation and material transportation, which can comprehensively and systematically identify all aspects of the project that may generate carbon emissions, including equipment operation and material transportation.

[0056] Specifically referring to Table 1, some potential carbon emission sources identified in the construction stages are listed in Table 1.

[0057] Table 1. Carbon Emission Source List

[0058]

[0059] According to each construction stage, identify the nodes related to equipment operation, denoted as each equipment node. Obtain the equipment involved in each equipment node and organize them into an equipment node list, recording the construction stage and equipment name to which they belong. Through detailed sorting and management of the equipment, the usage cost of the equipment can be optimized, which helps to reduce the carbon emission cost generated by equipment use.

[0060] Specifically referring to Table 2, the equipment node list for the foundation construction stage is listed in Table 2.

[0061] Table 2. Equipment Node List (Foundation Construction Stage)

[0062] Construction stage involved Equipment node Equipment name Foundation construction stage Pile foundation construction Pile driver Foundation construction stage Concrete pouring Concrete mixer Foundation construction stage Concrete pouring Concrete pump truck

[0063] Read the expected time intervals of each construction stage from the project network diagram, and screen out the equipment with operation activities arranged for each equipment node within the expected time intervals, denoted as each activity equipment for each construction stage. Determine the carbon emission types of the activity equipment. After clarifying the carbon emission types of the activity equipment, it is convenient to monitor and evaluate the carbon emissions of the equipment during the project implementation. By regularly monitoring the carbon emissions of the equipment and comparing and analyzing them with the expected carbon emission types and quantities, deviations can be discovered in a timely manner and corrective measures can be taken to ensure the achievement of the project carbon emission management goal.

[0064] Exemplarily, it is known from the project network diagram that the expected time interval for the foundation construction stage is from the 1st to the 45th day. During this period, pile drivers, concrete mixers, and concrete pump trucks are all arranged with operation activities. Therefore, they are the activity equipment for the foundation construction stage. The specific carbon emission types are referred to Table 3, in which the carbon emission types of some activity equipment for the foundation construction stage are listed.

[0065] Table 3. Carbon Emission Types of Activity Equipment (Foundation Construction Stage)

[0066]

[0067]

[0068] Please refer to Figure 3As shown, the specific analysis method of carbon emission accounting is: for the carbon emission sources of equipment operation, according to the carbon emission type of each active equipment, matching operations are performed with the carbon emission factors corresponding to each carbon emission type stored in the management database to obtain the carbon emission factor value of each active equipment; accurate carbon emission factor values can be obtained, which is convenient for accurate quantification of carbon emissions.

[0069] Various sensors are deployed at the project site to monitor in real time the energy consumption of each active equipment during the estimated time period of its construction phase. The product of the energy consumption value and the carbon emission factor value of each active equipment is calculated to obtain the carbon emission value of each active equipment in each construction phase of the project. Combined with the energy consumption value monitored in real time by on-site sensors, the accurate quantification of carbon emissions from equipment operation is achieved, providing accurate data support for carbon emission management.

[0070] In a specific embodiment, the carbon emission factor value of the fuel-driven equipment (diesel) is 2.68, and the carbon emission factor value of the electric-driven equipment (thermal power generation, assuming that carbon dioxide emissions are generated per kilowatt-hour of electricity) is 0.85.

[0071] During the foundation construction phase, sensors recorded that the pile driver consumed a total of 1,000 liters of diesel, the concrete mixer consumed 1,500 liters of diesel, and the concrete pump truck consumed 1,200 liters of diesel.

[0072] According to the formula: Carbon emission value = energy consumption value × carbon emission factor value, the carbon emission value of the pile driver is calculated to be 1000 liters × 2.68 kg of carbon dioxide / liter = 2680 kg = 2.68 tons, the carbon emission value of the concrete mixer is 1500 liters × 2.68 kg of carbon dioxide / liter = 4020 kg = 4.02 tons, and the carbon emission value of the concrete pump truck is 1200 liters × 2.68 kg of carbon dioxide / liter = 3216 kg = 3.216 tons.

[0073] For the carbon emission sources of material transportation, obtain the transportation materials and transportation methods involved in each construction stage of the project, clarify the weight of the transportation materials and the transportation mileage, refer to the industry report to determine the carbon emission factor of the transportation method, and match the transportation methods involved in each construction stage of the project to obtain the carbon emission factors of the transportation methods involved in each construction stage of the project; be able to comprehensively and meticulously calculate the material transportation carbon emission values of each transportation material in each construction stage, and have a clear understanding of the carbon emissions in the material transportation process.

[0074] Calculate the product of the weight of the transported materials, the transportation mileage, and the carbon emission factor of the corresponding transportation mode involved in each construction stage of the project, to obtain the carbon emissions value of material transportation for each transported material in each construction stage of the project; it is possible to select a transportation mode with lower carbon emissions according to the carbon emission data, optimize the transportation route, reduce unnecessary transportation mileage, and thus reduce carbon emissions during material transportation.

[0075] In a specific embodiment, during the foundation construction stage, 500 tons of steel bars are transported. A truck with a load capacity of 20 tons is used for transportation, and the average transportation mileage is 50 kilometers. Referring to industry reports, the carbon emission factor of such a heavy truck is 0.8 kg of carbon dioxide / (ton·km).

[0076] According to the formula: carbon emissions value of material transportation = weight of transported materials × transportation mileage × carbon emission factor of the corresponding transportation mode, the calculated carbon emissions value of steel bar transportation = 500 tons × 50 km × 0.8 kg of carbon dioxide / (ton·km) = 20000 kg = 20 tons.

[0077] The correlation analysis module is used to calculate the carbon emission proportion of each activity equipment in the corresponding construction stage according to carbon emission accounting, screen each key equipment, and conduct correlation analysis on the equipment according to the emission types of each activity equipment in each construction stage, so as to provide an optimal combination plan for each key equipment.

[0078] The specific operation method for screening each key equipment is as follows: obtain the carbon emissions value of each activity equipment in each construction stage of the project and the carbon emissions value of equipment operation in each construction stage. For each activity equipment, divide its carbon emissions value in each construction stage by the carbon emissions value of equipment operation in the corresponding construction stage to obtain the carbon emission proportion of each activity equipment in the corresponding construction stage; resources can be reasonably allocated according to its carbon emission situation. For key equipment with a high carbon emission proportion, resources are preferentially arranged for technical transformation, equipment upgrade or optimization of operation management to reduce its carbon emissions.

[0079] Sort the carbon emission proportions of each activity equipment in the corresponding construction stage from high to low, set the upper limit of the proportion threshold, and screen out each activity equipment whose carbon emission proportion in the corresponding construction stage is greater than the set upper limit of the proportion threshold, and record them as each key equipment; it is possible to accurately screen out the key equipment that contributes more to the carbon emissions of equipment operation in each construction stage. By continuously monitoring the carbon emissions of key equipment, the effect of emission reduction measures can be evaluated in a timely manner.

[0080] In a specific embodiment, it is known that the total carbon emissions value of equipment operation in the foundation construction stage is 100 tons (obtained by adding up the carbon emissions values of all activity equipment in this stage).

[0081] If the carbon emission value of a pile driver during the foundation construction stage is 20 tons, then the carbon emission proportion of the pile driver is 20÷100×100% = 20%. The carbon emission value of a concrete mixer is 35 tons, and its carbon emission proportion is 35÷100×100% = 35%. The carbon emission value of a concrete pump truck is 25 tons, and the carbon emission proportion is 25÷100×100% = 25%. The carbon emission value of a small excavator (used for auxiliary work) is 10 tons, and the carbon emission proportion is 10÷100×100% = 10%.

[0082] Sorting and screening key equipment: Sort the carbon emission proportions of each active equipment during the foundation construction stage from high to low as follows: Concrete mixer: 35%, Concrete pump truck: 25%, Pile driver: 20%, Small excavator: 10%.

[0083] Set the upper limit of the proportion threshold to 22%, then the key equipment during the foundation construction stage screened out is the concrete mixer and the concrete pump truck.

[0084] The specific analysis method of the correlation analysis is as follows: Statistically calculate the total carbon emission value of each emission type in each construction stage, as well as the emission types of each active equipment in each construction stage. For any two emission types, use the calculation formula of the Pearson correlation coefficient to calculate the correlation coefficient between the emission types respectively.

[0085] It should be noted that the calculation formula of the Pearson correlation coefficient is where x i and y i are the emission values of the two emission types on the i-th equipment respectively, i represents the number of the i-th equipment, i = 1, 2,..., n, represents the average emission value of the two emission types.

[0086] If the correlation coefficient between the emission types is greater than 0, it indicates that there is a positive correlation between the two emission types, that is, an increase in one emission type may be accompanied by an increase in the other emission type. If the correlation coefficient between the emission types is less than 0, it indicates that there is a negative correlation between the two emission types, that is, an increase in one emission type may be accompanied by a decrease in the other emission type. If the correlation coefficient between the emission types is equal to 0, it indicates that there is no linear correlation between the two emission types. After clarifying the correlation between the emission types, it can provide a strong basis for formulating emission reduction strategies. For the emission types with a positive correlation, it is necessary to consider comprehensively when formulating emission reduction measures to avoid the situation where reducing one emission type may lead to an increase in another related emission type. For the emission types with a negative correlation, this relationship can be explored and utilized. By reasonably adjusting the construction activities or equipment usage methods, while reducing one emission type, it can promote the reduction of another emission type and achieve a more efficient emission reduction effect.

[0087] The specific analysis method for providing an optimal combination plan for each key device is as follows: Based on the correlation coefficients between emission types, several possible combinations of related devices are divided for each key device. For each combination of related key devices, according to the carbon emission values of each existing active device in the corresponding construction stage, the total carbon emission value of each combination of related key devices in all construction stages is calculated.

[0088] Exemplarily, if there is a negative correlation between two emission types A and B, and device X mainly generates emission type A, and device Y mainly generates emission type B, then using device X and device Y simultaneously may, to a certain extent, offset each other's increasing trend of carbon emissions, thus potentially achieving a better emission reduction effect.

[0089] Select one of the combinations of related key devices as the benchmark combination, compare the total carbon emission values of each combination of related key devices in each construction stage with the total carbon emission values of the benchmark combination in each construction stage, and evaluate the emission reduction effect of each combination of related key devices relative to the benchmark combination; it is possible to intuitively understand the impact of different device combinations on carbon emissions and the emission reduction effect of each combination relative to the benchmark combination, thereby more scientifically selecting the optimal plan, formulating a reasonable construction plan and equipment usage strategy, and reducing the blindness of decision-making.

[0090] It should be noted that subtracting the total carbon emission value of each other combination of related key devices in the same construction stage from the total carbon emission value of the benchmark combination in each construction stage, the obtained difference is the emission reduction amount. If the difference is positive, it indicates that this combination has achieved emission reduction relative to the benchmark combination; if the difference is negative, it means that this combination has increased emissions. Dividing the calculated emission reduction amount by the total carbon emission value of the benchmark combination and then multiplying by 100%, the obtained percentage is the emission reduction effect.

[0091] Select the combination of related key devices with the highest emission reduction effect relative to the benchmark combination for each key device as the optimal plan for each key device; this helps to overall reduce the total carbon emission of the project, reduce the impact on the environment, and achieve the green and sustainable development of the project.

[0092] In a specific embodiment, based on the positive correlation of emission types, possible combinations of related devices are divided for two key devices, namely the concrete pump truck and the tower crane: Combination 1: Efficiently use the concrete pump truck and the tower crane simultaneously, increase their operation time to accelerate the construction progress, but this may lead to an increase in emissions.

[0093] Combination 2: Alternately use the concrete pump truck and the tower crane, and minimize the simultaneous operation time as much as possible under the premise of meeting the construction requirements to reduce emissions.

[0094] Combination 3: Use the concrete pump truck and the tower crane according to the conventional rhythm, maintaining the existing construction efficiency and emission level.

[0095] Select Combination Three as the reference combination. Within one month of the main structure construction, the carbon emission values of each mobile equipment under different combinations are as follows: Total carbon emission value of Combination One: Carbon emission value of concrete pump truck 35 + Carbon emission value of tower crane 25 = 60; Total carbon emission value of Combination Two: Carbon emission value of concrete pump truck 25 + Carbon emission value of tower crane 15 = 40; Total carbon emission value of Combination Three: Carbon emission value of concrete pump truck 30 + Carbon emission value of tower crane 20 = 50.

[0096] Compared with the reference combination, the emission reduction amount of Combination One is -10 tons (emission increase), and the emission reduction effect is -20%. Compared with the reference combination, the emission reduction amount of Combination Two is 10 tons, and the emission reduction effect is 20%. From the perspective of emission reduction effect, the emission reduction effect of Combination Two is the highest, at 20%. If the project has strict environmental protection requirements and there are no obvious negative impacts of Combination Two on construction efficiency, equipment loss, etc., then Combination Two can be used as the optimal solution for concrete pump trucks and tower cranes during the main structure construction stage.

[0097] The path optimization module is used to determine whether to optimize the transportation path according to the correlation coefficient between the transportation mileage and the carbon emissions, and then find the optimized transportation path for each transported material through a weighted graph.

[0098] The specific analysis method for determining whether to optimize the transportation path is as follows: Read the transportation mileage of the transported materials involved in each construction stage of the project and the carbon emission values of material transportation in each construction stage of the project. Use the transportation mileage as the abscissa and the carbon emission value of material transportation as the ordinate to draw a scatter plot; it can intuitively display the distribution relationship between the transportation mileage and the carbon emission value of material transportation in each construction stage of the project, more intuitively grasp the data characteristics, and discover possible patterns or anomalies.

[0099] From this, calculate the correlation coefficient between the transportation mileage and the carbon emissions. When the correlation coefficient is equal to 0, it indicates that there is no linear correlation between the two, that is, the change in transportation mileage has no obvious impact on the carbon emissions, and there are other factors that play a major role in the carbon emissions. When the correlation coefficient is equal to 1, it indicates that there is a positive correlation between the transportation mileage and the carbon emissions, that is, as the transportation mileage increases, the carbon emissions will increase significantly, and the carbon emission value can be reduced by optimizing the transportation path; it can clearly show the correlation between the transportation mileage and the carbon emissions, facilitating focusing on the optimization of the transportation path to effectively reduce carbon emissions.

[0100] The correlation coefficient between the transportation mileage and the carbon emissions uses the Pearson correlation coefficient, and the formula is m represents the number of the mth data point, m = 1, 2,..., q, x m represents the mth transportation mileage value, is the average value of the transportation mileage, y m is the mth carbon emission value of material transportation, is the average value of the carbon emissions of material transportation.

[0101] The specific analysis method for the optimized transportation routes of each transported material is as follows: abstract the transportation network of material transportation as a weighted graph, where the nodes respectively correspond to the supply places of the transported materials and the demand places of the transported materials, and the weight of the edge represents the distance; taking the distance as the weight of the edge, the shortest path found means a reduction in the transportation mileage, thereby directly reducing the fuel consumption, labor cost, and equipment loss during transportation, etc., and effectively reducing the overall transportation cost.

[0102] Determine the node corresponding to the supply place of the transported material as the source node, and find the shortest path from the source node to the nodes corresponding to all other demand places of the transported materials in the weighted graph as the optimized transportation routes of each transported material; it helps to reasonably plan transportation resources, reasonably arrange resources such as transportation vehicles and personnel according to the shortest path, avoid the idle and waste of resources, improve the utilization efficiency of resources, and make the resources be more effectively allocated.

[0103] It should be noted that the specific analysis method for the optimized transportation routes of each transported material is as follows: clarify all the supply places and demand places of the transported material, and respectively correspond each supply place and demand place to a node in the weighted graph. For node pairs such as the supply place and demand place, and demand place and demand place (if there is a transfer situation) that are actually connected by transportation routes, add an edge between them, and the weight of the edge is set according to the actual distance between the nodes.

[0104] Set a distance value for each node, initialize the distance value of the source node (the node corresponding to the selected supply place of the transported material) to 0, and initialize the distance values of the remaining nodes to infinity (indicating that no path has been found yet). Establish a "set of nodes with determined shortest paths" to mark the shortest paths of the nodes that have been determined. Initially, this set only contains the source node.

[0105] Starting from the source node, view the edges directly connected to the source node and their corresponding nodes (neighbor nodes), calculate the distance to reach these neighbor nodes through the source node (i.e., the weight of the edge from the source node to the neighbor node). If this distance is less than the current distance value of the neighbor node, then update the distance value of the neighbor node to the distance reached through the source node.

[0106] Select the node with the smallest distance value from the nodes that have not been added to the "set of nodes with determined shortest paths", add it to this set, and starting from the newly added node in the set, repeat the above operation of viewing neighbor nodes and updating distance values until all nodes are added to the "set of nodes with determined shortest paths". At this time, the distance value recorded by each node corresponding to the demand place is the shortest path length from the source node (supply place) to this demand place.

[0107] By backtracking the distance value update process of each demand node, the specific path from the source node to each demand node can be determined, that is, the optimized transportation path of each transported material.

[0108] Exemplarily, if the distance value of demand location E is updated after passing through nodes X and Y from supply location A, then the path supply location A - node X - node Y - demand location E is the optimized transportation path for transporting materials to demand location E.

[0109] The carbon emission improvement analysis module is used to evaluate the carbon emission reduction rate after implementing the optimization measures and provide feedback to the system.

[0110] The specific analysis method of the carbon emission improvement analysis module is as follows: after implementing the optimal combination scheme of each key device, under the same construction conditions and construction content, monitor the carbon emissions again to obtain the carbon emission values of each activity device in each construction stage of the optimized project. By comparing with those before optimization, calculate the carbon emission reduction rate of the equipment operation in each construction stage of the project. If the carbon emission reduction rate is not ideal, the reasons can be further analyzed, and the key device combination scheme or transportation path optimization measures can be adjusted and improved. If the reduction rate reaches or even exceeds the expectation, the experience can be summarized and popularized in other similar projects or subsequent construction stages.

[0111] For the optimized transportation path line, after implementing the optimized transportation path of each transported material, on the premise of ensuring the timely supply of building materials and not affecting the construction, re - calculate the material transportation carbon emission values of each transported material in each construction stage of the project. By comparing with those before optimization, calculate the carbon emission reduction rate of the material transportation in each construction stage. For the optimized transportation path, it can clearly judge the role of the transportation path optimization in reducing the material transportation carbon emissions, which helps the project team understand whether the adopted emission reduction measures have achieved the expected goals and provides a strong basis for subsequent decision - making.

[0112] In a specific embodiment, in the foundation construction stage, the main path for transporting cement is from A Cement Factory to the project site, with a transportation mileage of 50 kilometers and a monthly transportation volume of 1000 tons. After calculation, the carbon emission value of cement transportation in this stage is 80 tons per month. For transporting sand and gravel from B Sand and Gravel Yard to the site, the transportation mileage is 60 kilometers and the monthly transportation volume is 5000 tons, with a carbon emission value of 200 tons per month. In the main structure construction stage, for transporting steel from C Steel Factory to the site, the transportation mileage is 80 kilometers and the monthly transportation volume is 800 tons, and the carbon emission value of steel transportation is 120 tons per month.

[0113] Through path optimization analysis, it is found that in the foundation construction stage, transporting cement from D Cement Factory to the site can shorten the transportation mileage to 30 kilometers and ensure the timely supply of building materials. In the main structure construction stage, by adjusting the transportation route, the steel transportation mileage can be shortened to 60 kilometers.

[0114] After the implementation of the optimized transportation routes for each transported material, the carbon emission values are recalculated. During the basic construction stage, the carbon emission value of cement transportation is reduced to 48 tons per month. Due to the optimized transportation routes and vehicle allocation for sand and gravel transportation, the carbon emission value is reduced to 160 tons per month. During the main structure construction stage, the carbon emission value of steel transportation is reduced to 90 tons per month.

[0115] The carbon emission reduction rate of cement transportation during the basic construction stage is The carbon emission reduction rate of sand and gravel transportation during the basic construction stage is The carbon emission reduction rate of steel transportation during the main structure construction stage is

[0116] Feed the carbon emission reduction rate back to the system; the data obtained from each carbon emission monitoring, calculation, and analysis can be used for carbon emission prediction, emission reduction measure formulation, and risk management in subsequent projects, forming knowledge precipitation and improving the professional ability and level in the field of project carbon emission management.

[0117] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limitations of the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention, and still be covered by the protection scope of the present invention.

Claims

1. An intelligent data evaluation system for the whole process of a project engineering, characterized in that, The system specifically includes the following modules: The project relationship construction module breaks down the entire project process into various construction stages and draws a project network diagram based on their sequence and logical dependencies; The carbon emission information acquisition module identifies the carbon emission sources in the project by combining the project network diagram, obtains the active equipment and carbon emission types in each construction stage, associates the carbon emission factors, and calculates carbon emissions according to the carbon emission sources; The correlation analysis module calculates the carbon emission proportion of each active equipment in the corresponding construction stage based on carbon emission accounting, selects each key equipment, and conducts correlation analysis on the equipment according to the emission type of each active equipment in each construction stage, providing the optimal combination solution for each key equipment; The route optimization module determines whether to optimize the transport route based on the correlation coefficient between transport mileage and carbon emissions, and then finds the optimal transport route for each transport material through a weighted graph; Carbon emission improvement analysis module, which evaluates the carbon emission reduction rate after implementing optimization measures and provides feedback to the system; Management database, storing construction process standards, carbon emission factors corresponding to each carbon emission source, equipment information and energy consumption values of each activity, and relevant information of each construction stage of the project.

2. The intelligent evaluation system for the whole process data of a project engineering according to claim 1, wherein, The project relationship building module includes the steps of: The entire process of the project from the beginning to the end is broken down into various construction stages according to all the operations involved and the estimated time interval. Based on the established construction process standards of the project, the order of implementation of each construction stage is clarified and a logical dependency relationship is established; Identify each construction stage as an independent node in the project network diagram. Take the initial construction stage of the project as the entry point, arrange the nodes according to the clear sequence of construction stages, and connect the logically related nodes with arrows based on the pre-built logical dependencies, thereby drawing the project network diagram.

3. An intelligent data evaluation system for the whole process of a project engineering according to claim 2, characterized in that, The specific analysis method of the carbon emission information acquisition module is: In the project network diagram, potential carbon emission sources are sorted out according to the divided construction stages to generate a list of potential carbon emission sources, including equipment operation and material transportation; According to each construction stage, identify the nodes related to equipment operation and record them as equipment nodes. Obtain the equipment involved in each equipment node and organize them into an equipment node list, recording the construction stage and equipment name. The estimated time interval of each construction phase is read from the project network diagram, and the equipment with running activities scheduled in each equipment node within the estimated time interval is screened out, recorded as each active equipment in each construction phase, and the carbon emission type of each active equipment is determined.

4. An intelligent evaluation system for the whole process data of a project engineering according to claim 1, characterized in that, The specific analysis method for carbon emission accounting is as follows: For the carbon emission sources of equipment operation, according to the carbon emission type of each active equipment, the carbon emission factors corresponding to each carbon emission type stored in the management database are matched and calculated to obtain the carbon emission factor value of each active equipment; Deploy various sensors at the project site to monitor the energy consumption of each active equipment in the estimated time interval of its construction phase in real time, calculate the product of the energy consumption value and the carbon emission factor value of each active equipment, and obtain the carbon emission value of each active equipment in each construction phase of the project; For the carbon emission sources in material transportation, obtain the transportation materials and transportation methods involved in each construction stage of the project, clarify the weight of the transportation materials and the transportation mileage, refer to industry reports to determine the corresponding carbon emission factors for the transportation methods, and match the carbon emission factors of the transportation methods involved in each construction stage of the project according to the transportation methods involved in each construction stage of the project; Calculate the product of the weight of the transportation materials, the transportation mileage, and the carbon emission factors of the corresponding transportation methods for the transportation materials involved in each construction stage of the project to obtain the carbon emissions from material transportation for each transportation material in each construction stage of the project.

5. An intelligent data evaluation system for the whole process of a project engineering according to claim 4, characterized in that, The specific operation method for screening each key equipment is as follows: Obtain the carbon emissions of each active equipment in each construction stage of the project and the carbon emissions from equipment operation in each construction stage. For each active equipment, divide its carbon emissions in each construction stage by the carbon emissions from equipment operation in the corresponding construction stage to obtain the proportion of carbon emissions of each active equipment in the corresponding construction stage; Sort the proportions of carbon emissions of each active equipment in the corresponding construction stage from high to low, set the upper limit of the proportion threshold, and screen out each active equipment with a proportion of carbon emissions in the corresponding construction stage greater than the set upper limit of the proportion threshold, which is recorded as each key equipment.

6. The intelligent evaluation system for the whole process data of a project engineering according to claim 5, characterized in that, The specific analysis method for the correlation analysis is as follows: Statistically calculate the total carbon emissions of each emission type in each construction stage, as well as the emission types of each active equipment in each construction stage. For any two emission types, calculate the correlation coefficient between the emission types using the calculation formula of the Pearson correlation coefficient respectively; If the correlation coefficient between the emission types is greater than 0, it indicates that there is a positive correlation between the two emission types, that is, an increase in one emission type may be accompanied by an increase in the other emission type. If the correlation coefficient between the emission types is less than 0, it indicates that there is a negative correlation between the two emission types, that is, an increase in one emission type may be accompanied by a decrease in the other emission type. If the correlation coefficient between the emission types is equal to 0, it indicates that there is no linear correlation between the two emission types.

7. An intelligent data evaluation system for the whole process of a project engineering according to claim 6, characterized in that, The specific analysis method for providing the optimal combination plan for each key equipment is as follows: Based on the correlation coefficient between the emission types, divide several possible combinations of related equipment for each key equipment. For each combination of related key equipment, calculate the total carbon emissions of each combination of related key equipment in all construction stages according to the carbon emissions of each existing active equipment in the corresponding construction stage; Select one combination as the reference combination from each combination of related key equipment, compare the total carbon emissions of each combination of related key equipment in each construction stage with the total carbon emissions of the reference combination in each construction stage, and evaluate the emission reduction effect of each combination of related key equipment relative to the reference combination; Select the combination with the highest emission reduction effect of each key equipment relative to the reference combination as the optimal plan for each key equipment.

8. An intelligent evaluation system for the whole process data of a project engineering according to claim 1, characterized in that, The specific analysis method for judging whether to optimize the transportation route is as follows: Read the transportation mileage of the transportation materials involved in each construction stage of the project and the carbon emissions from material transportation in each construction stage of the project. Use the transportation mileage as the abscissa and the carbon emissions from material transportation as the ordinate to draw a scatter plot; Calculate the correlation coefficient between the transportation mileage and the carbon emissions. When the correlation coefficient is equal to 0, it indicates that there is no linear correlation between the two, that is, the change in transportation mileage has no obvious impact on carbon emissions, and there are other factors that play a major role in carbon emissions. When the correlation coefficient is equal to 1, it shows that there is a positive correlation between the transportation mileage and the carbon emissions, that is, as the transportation mileage increases, the carbon emissions will increase significantly, and the carbon emission value can be reduced by optimizing the transportation route.

9. An intelligent evaluation system for the whole process data of a project engineering according to claim 8, characterized in that, The specific analysis method for the optimized transportation route of each transportation material is as follows: Abstract the transportation network of material transportation as a weighted graph, where the nodes represent the supply places of transportation materials and the demand places of transportation materials respectively, and the weight of the edge represents the distance; Determine the node corresponding to the supply place of the transportation material as the source node, and find the shortest path from the source node to the nodes corresponding to all other demand places of transportation materials in the weighted graph as the optimized transportation route of each transportation material.

10. An intelligent data evaluation system for the whole process of a project engineering according to claim 1, characterized in that, The specific analysis method of the carbon emission improvement analysis module is as follows: After implementing the optimal combination plan of each key equipment, monitor the carbon emissions again under the same construction conditions and construction content to obtain the carbon emission values of each activity equipment in each construction stage of the optimized project. Calculate the reduction rate of equipment operation carbon emissions in each construction stage of the project by comparing with that before optimization; For the optimized transportation route line, after implementing the optimized transportation route of each transportation material, on the premise of ensuring the timely supply of building materials and no impact on construction, re-calculate the carbon emission value of material transportation of each transportation material in each construction stage of the project. Calculate the reduction rate of material transportation carbon emissions in each construction stage by comparing with that before optimization; Feed back the carbon emission reduction rate to the system.

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