Energy-saving control method and system for construction equipment, electronic equipment and storage medium

Abstract

The invention discloses an energy-saving control method and system for construction equipment, electronic equipment and a storage medium, and relates to the field of building construction. According to the method, working condition data and meteorological parameters in a construction area are obtained, the construction area comprises multiple pieces of construction equipment, and the working condition data comprise the positions, power parameters and operation state data of the construction equipment; generating an energy consumption thermodynamic diagram based on the working condition data and the meteorological parameters, wherein the energy consumption thermodynamic diagram displays the energy consumption value of each construction device in the construction area; calculating the importance score of each construction device according to the energy consumption value of each construction device in the energy consumption thermodynamic diagram, the emergency degree of the current construction task of the construction device and the influence degree on the construction progress; and controlling the first construction equipment of which the importance score is greater than a preset score to operate according to a preset energy-saving strategy, determining a grading energy-saving strategy of the second construction equipment of which the importance score is not greater than the preset score, and controlling the second construction equipment to operate according to the grading energy-saving strategy. The precision of energy-saving control of the construction equipment is improved.

Description

Technical Field

[0001] The present application relates to the field of building construction, and specifically to an energy-saving control method, system, electronic device and storage medium for construction equipment. Background Art

[0002] With the global growth of construction projects, energy consumption in the construction industry is becoming increasingly prominent. Construction equipment, such as excavators and cranes, is a vital component of construction sites, and managing its energy consumption is crucial for improving energy efficiency, reducing costs, and minimizing environmental impact. Therefore, the search for more efficient energy management methods for construction equipment has become an inevitable trend in the industry.

[0003] At present, energy consumption monitoring devices are often installed on construction equipment to collect equipment operation status data in real time, analyze the collected operation status data, and adjust the equipment operation status based on the analysis results.

[0004] However, in actual complex construction scenarios, the energy consumption level of construction equipment is affected by multiple factors. Relying solely on the operating status data of construction equipment for regulation and control cannot accurately identify the importance of the equipment, thereby affecting the reasonable allocation of energy-saving strategies and resulting in low accuracy in energy-saving control of construction equipment. Summary of the Invention

[0005] The present application provides an energy-saving control method, system, electronic device and storage medium for construction equipment, which have the effect of improving the accuracy of energy-saving control.

[0006] In a first aspect of the present application, a method for energy-saving control of construction equipment is provided, comprising: acquiring operating condition data and meteorological parameters in a construction area, the construction area including a plurality of construction equipment, the operating condition data including the location, power parameters and operating status data of the construction equipment; generating an energy consumption thermogram based on the operating condition data and the meteorological parameters, the energy consumption thermogram displaying the energy consumption value of each construction equipment in the construction area; calculating the importance score of each construction equipment according to the energy consumption value of each construction equipment in the energy consumption thermogram, the urgency of the current construction task of the construction equipment and the degree of influence on the construction progress; controlling the first construction equipment whose importance score is greater than a preset score to operate according to a preset energy-saving strategy, and determining a hierarchical energy-saving strategy for the second construction equipment whose importance score is not greater than the preset score, and controlling the second construction equipment to operate according to the hierarchical energy-saving strategy.

[0007] By adopting the above technical solution, by obtaining working condition data and meteorological parameters, not only the location, power and operating status of the equipment are included, but also the influence of environmental factors is taken into account, providing basic data for a comprehensive evaluation of equipment energy consumption. The energy consumption heat map generated based on these data intuitively displays the energy consumption distribution of each device, which helps to identify high-energy consumption areas. The importance score is calculated based on the urgency of the equipment's current task and the degree of impact on the construction progress. This scoring mechanism comprehensively considers the actual importance of the equipment in the construction process. For the first type of equipment with high scores, a preset energy-saving strategy is adopted to ensure its construction efficiency. For the second type of equipment with low scores, a graded energy-saving strategy is adopted to maximize the energy-saving effect. This differentiated control method based on importance scoring not only ensures the normal operation of key equipment, but also achieves the energy-saving goals of non-key equipment. It effectively avoids the problem of affecting the allocation of energy-saving strategies due to the inability to accurately identify the importance of equipment, thereby improving the accuracy of energy-saving control.

[0008] Optionally, the energy consumption thermogram is generated based on the operating condition data and the meteorological parameters, specifically including: calculating the current load rate according to the ratio of the real-time power to the rated power in the power parameter, and calculating the initial energy consumption value according to the product of the real-time power and the operating time; when the temperature is higher than the first preset threshold, determining the first weighting coefficient according to the preset temperature influence curve and the current load rate; when the humidity is higher than the second preset threshold, determining the second weighting coefficient according to the preset humidity influence curve and the current load rate; when the wind speed is higher than the third preset threshold, determining the third weighting coefficient according to the preset wind speed influence curve and the current load rate; multiplying the initial energy consumption value with the first weighting coefficient, the second weighting coefficient and the third weighting coefficient respectively to obtain a corrected energy consumption value; generating an energy consumption thermogram based on the position of the construction equipment and the corrected energy consumption value.

[0009] By adopting the above technical solution, a basic assessment of the initial energy consumption is performed by calculating the load rate, and then the corresponding weighted coefficient is determined based on the impact of environmental factors such as temperature, humidity, and wind speed on energy consumption. The initial energy consumption value is multiplied by the weighted coefficients of multiple environmental factors to obtain a corrected energy consumption value. Finally, a heat map is generated based on the equipment location and the corrected energy consumption value. This multi-dimensional correction method that takes environmental impact into account makes energy consumption assessment more accurate.

[0010] Optionally, the importance score of each construction equipment is comprehensively calculated based on the energy consumption value of each construction equipment in the energy consumption thermodynamic diagram, the urgency of the current construction task of the construction equipment and the degree of influence on the construction progress, specifically including: obtaining the construction plan of the construction equipment, the construction plan including the process list of the construction equipment, the process list including the predecessor process list and the successor process list; based on the construction plan, determining the urgency of the current construction task of the construction equipment and the degree of influence of the construction equipment on the construction progress; calculating the importance benchmark score based on the urgency of the construction task and the degree of influence on the construction progress; extracting the energy consumption value of the equipment position in the energy consumption thermodynamic diagram, normalizing the energy consumption value to obtain the energy consumption intensity coefficient; and calculating the importance score of each construction equipment in combination with the importance benchmark score and the energy consumption intensity coefficient.

[0011] By adopting the above technical solution, the process list of construction equipment is obtained and the urgency of the task and the impact on progress are evaluated based on the predecessor and successor process lists. The importance benchmark score is calculated, and then combined with the normalized energy consumption intensity coefficient in the energy consumption thermodynamic diagram to finally obtain the comprehensive importance score of the equipment. This scoring mechanism, which combines the process correlation, construction progress and energy consumption intensity, can comprehensively reflect the actual importance of the equipment in the construction process, and provide a scientific evaluation standard for the formulation of differentiated energy-saving strategies.

[0012] Optionally, the construction plan also includes the planned construction period and planned workload of the construction equipment. The urgency of the current construction task of the construction equipment is determined based on the construction plan, specifically including: calculating the progress completion rate of the construction equipment according to the planned workload and the current actual completion amount of the construction equipment, and determining the task urgency benchmark value according to the difference between the progress completion rate and the preset planned progress; calculating the predecessor completion degree according to the process progress ratio of each process in the predecessor process list, and determining the predecessor status value in combination with the number of predecessor processes; calculating the subsequent urgency according to the time margin of each process in the subsequent process list, and determining the subsequent status value in combination with the number of subsequent processes; performing weighted calculation on the predecessor status value and the subsequent status value to obtain the task coordination coefficient; multiplying the task urgency benchmark value by the task coordination coefficient to obtain the urgency of the equipment construction task.

[0013] By adopting the above technical solution, by combining the planned construction period and workload, the task urgency benchmark value is determined based on the difference between the progress completion rate and the planned progress, and the task coordination coefficient is calculated through the progress ratio of the predecessor process and the time margin of the subsequent process, and finally an accurate urgency assessment is obtained. This multi-level evaluation method that considers progress deviation, process correlation and time constraints can accurately reflect the actual urgency status of the construction task and provide a more reliable basis for importance scoring.

[0014] Optionally, the degree of influence of the construction equipment on the construction progress is determined based on the construction plan, specifically including: determining the stability score of the construction equipment based on the operating status data of the construction equipment; determining the process correlation of the process where the construction equipment is located according to the work list; evaluating the duration of construction delay caused by changes in the operating status of the construction equipment; and determining the degree of influence based on the stability score, the process correlation and the duration of construction delay.

[0015] By adopting the above technical solutions and comprehensively evaluating equipment stability, process correlation, and potential construction delays, a comprehensive schedule impact assessment system has been established. Equipment stability reflects operational reliability, process correlation reflects the dependencies between construction links, and construction delay estimates reflect the actual impact on the overall schedule. This multi-dimensional impact assessment method can accurately grasp the degree of influence of equipment status changes on the construction schedule, providing a scientific basis for formulating precise energy-saving strategies.

[0016] Optionally, the construction plan also includes the material supply chain status, staffing situation and construction node plan of the construction equipment. The construction node plan includes the planned workload and planned operation parameters of each node. Determining the urgency of the current construction task of the construction equipment and the impact of the construction equipment on the construction progress based on the construction plan also includes: obtaining the position of the construction equipment in the construction area and the actual operation parameters of the construction equipment, and determining the movement characteristics according to the change in the position; determining the urgency of the construction task according to the material supply chain status, the staffing situation and the equipment movement characteristics; comparing the actual operation parameters with the planned operation parameters in the construction node plan to determine the impact on the construction progress.

[0017] By adopting the above technical solution, by incorporating factors such as material supply, staffing and equipment movement into the evaluation system, and based on the comparative analysis of actual operation parameters and planned parameters, a dynamic assessment of the urgency of construction tasks and the impact on progress is achieved. This comprehensive evaluation method that considers resource allocation and actual operation status can more accurately reflect the actual situation on the construction site and provide more comprehensive decision-making support for the dynamic adjustment of energy-saving control strategies.

[0018] Optionally, the hierarchical energy-saving strategy for the second construction equipment whose importance score is determined to be no greater than a preset score specifically includes: dividing the usage level of the second construction equipment into high frequency, medium frequency and low frequency according to the importance score and the usage frequency of the construction equipment; wherein the hierarchical energy-saving strategy for high-frequency equipment is to adjust the operating power according to the energy consumption characteristics of the equipment and the construction load; the hierarchical energy-saving strategy for medium-frequency equipment is to share or rotate the equipment based on the process connection requirements; the hierarchical energy-saving strategy for low-frequency equipment is to use the equipment in concentrated time periods or in divided time periods according to the operating characteristics of the low-frequency equipment and the construction progress requirements.

[0019] By adopting the above technical solutions and a grading mechanism based on importance scores and usage frequency, differentiated energy-saving strategies are adopted for different equipment. High-frequency equipment achieves refined energy saving through power allocation, medium-frequency equipment improves equipment utilization efficiency through shared rotation, and low-frequency equipment optimizes usage through time management. This clearly hierarchical energy-saving strategy system not only ensures the construction needs of various types of equipment, but also achieves energy-saving goals tailored to local conditions, thereby improving the overall energy-saving effect.

[0020] In a second aspect of the present application, an energy-saving control system for construction equipment is provided, comprising: A multi-source data acquisition module is used to obtain working condition data and meteorological parameters in a construction area, wherein the construction area includes a plurality of construction equipment, and the working condition data includes the location, power parameters and operating status data of the construction equipment; an energy consumption heat map generating module, configured to generate an energy consumption heat map based on the working condition data and the meteorological parameters, wherein the energy consumption heat map displays the energy consumption value of each construction equipment in the construction area; An equipment priority assessment module is used to calculate the importance score of each construction equipment according to the energy consumption value of each construction equipment in the energy consumption heat map, the urgency of the current construction task of the construction equipment and the degree of impact on the construction progress; The intelligent energy-saving control module is used to control the first construction equipment whose importance score is greater than the preset score to operate according to the preset energy-saving strategy, and to determine the hierarchical energy-saving strategy for the second construction equipment whose importance score is not greater than the preset score, and control the second construction equipment to operate according to the hierarchical energy-saving strategy.

[0021] By adopting the above technical solution, by obtaining working condition data and meteorological parameters, not only the location, power and operating status of the equipment are included, but also the influence of environmental factors is taken into account, providing basic data for a comprehensive evaluation of equipment energy consumption. The energy consumption heat map generated based on these data intuitively displays the energy consumption distribution of each device, which helps to identify high-energy consumption areas. The importance score is calculated based on the urgency of the equipment's current task and the degree of impact on the construction progress. This scoring mechanism comprehensively considers the actual importance of the equipment in the construction process. For the first type of equipment with high scores, a preset energy-saving strategy is adopted to ensure its construction efficiency. For the second type of equipment with low scores, a graded energy-saving strategy is adopted to maximize the energy-saving effect. This differentiated control method based on importance scoring not only ensures the normal operation of key equipment, but also achieves the energy-saving goals of non-key equipment. It effectively avoids the problem of affecting the allocation of energy-saving strategies due to the inability to accurately identify the importance of equipment, thereby improving the accuracy of energy-saving control.

[0022] In the third aspect of the present application, an electronic device is provided, including a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device performs any of the methods described above.

[0023] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions. When the instructions are executed, any one of the methods described above is executed. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a schematic diagram of the architecture of an energy-saving control system for construction equipment disclosed in an embodiment of the present application; Figure 2 This is a flow chart of an energy-saving control method for construction equipment disclosed in an embodiment of the present application; Figure 3 yes Figure 2 A schematic flow chart of a sub-step of step S102; Figure 4 yes Figure 2 A schematic flow chart of a sub-step of step S103; Figure 5 yes Figure 4 A schematic flow chart of a sub-step of step S302; Figure 6 A flowchart of a method for determining the urgency of construction equipment is provided; Figure 7 It is a flow chart of a method for determining the degree of influence of construction equipment; Figure 8This is a module diagram of an energy-saving control system for construction equipment provided in an embodiment of the present application; Figure 9 This is a structural diagram of an electronic device disclosed in an embodiment of the present application.

[0025] Explanation of the accompanying drawings: 21. Multi-source data acquisition module; 22. Energy consumption heat map generation module; 23. Equipment priority assessment module; 24. Intelligent energy-saving control module; 901. Processor; 902. Communication bus; 903. User interface; 904. Network interface; 905. Memory. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0027] In the description of the embodiments of this application, words such as "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "for example" or "for instance" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "for example" or "for instance" is intended to present the relevant concepts in a concrete manner.

[0028] In the description of the embodiments of the present application, the term "multiple" means two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0029] Figure 1 An exemplary system architecture 10 of an energy-saving control system for construction equipment is shown.

[0030] like Figure 1 As shown, system architecture 10 may include electronic device 11, network 12, and construction equipment 13. Network 12 is used to provide a medium for a communication link between electronic device 11 and construction equipment 13. Network 12 may include various connection types, such as wired or wireless communication links or fiber optic cables.

[0031] The management personnel can use the electronic device 11 to interact with the construction equipment 13 via the network 12 to achieve energy-saving control, etc. Various management applications can be installed on the electronic device 11, such as equipment monitoring applications, energy consumption analysis applications, etc.

[0032] The electronic device 11 is hardware, and may be any electronic device with a display screen, including but not limited to a smart phone, a tablet computer, a laptop computer, a desktop computer, and the like.

[0033] The construction equipment 13 may be various types of engineering machinery, such as excavators and cranes that receive energy-saving control instructions. These devices can collect working condition data and operating status, and can feed back the collected results to the electronic equipment.

[0034] The following describes the electronic equipment side in detail as an example.

[0035] This embodiment discloses an energy-saving control method for construction equipment. Figure 2 This is a flow chart of an energy-saving control method for construction equipment disclosed in an embodiment of the present application. Figure 2 As shown, including step S101 to step S104, the above steps are as follows: S101: Acquire operating condition data and meteorological parameters in a construction area, where the construction area includes multiple construction equipment, and the operating condition data includes the location, power parameters, and operating status data of the construction equipment.

[0036] Among them, in the embodiment of the present application, the construction area refers to a specific range of space where engineering operations are carried out, such as a construction site, a road construction site, a bridge construction area, a tunnel excavation site, etc.

[0037] The construction area includes multiple construction equipment, which refers to mechanical equipment used to complete various construction operations in the construction area, such as excavators, bulldozers, cranes, etc.

[0038] Working condition data refers to the collection of various working status parameters of construction equipment during operation, including construction equipment position, power parameters and operating status data.

[0039] Specifically, the electronic device uses its built-in data acquisition module to acquire operating condition data and meteorological parameters within the construction area. It also receives operating condition data transmitted by sensor modules installed on various pieces of construction equipment within the construction area. These sensor modules include a GPS positioning module for collecting the real-time geographic coordinates of the construction equipment, a power detection module for measuring the equipment's rated power and actual operating power, and a status monitoring module for recording information such as the equipment's on / off status, operating hours, and load level. Simultaneously, the electronic device connects to a meteorological monitoring station deployed within the construction area, receiving real-time meteorological data collected by temperature sensors, humidity sensors, and wind speed sensors via a data interface. The electronic device converts the received operating condition data and meteorological parameters into a standard format and stores the processed operating condition data and meteorological parameters locally through its storage module.

[0040] S102: Generate an energy consumption heat map based on the working condition data and meteorological parameters, and the energy consumption heat map displays the energy consumption value of each construction equipment in the construction area.

[0041] Among them, the energy consumption heat map is a visual graph that shows the energy consumption distribution of each location in the construction area in the form of a heat map.

[0042] Specifically, the electronic device multiplies the power parameter in the working condition data by the operating time to obtain the energy consumption value of each construction equipment, and then establishes an XY coordinate axis and marks the energy consumption value of each construction equipment on the corresponding XY coordinate point according to the location information of the construction equipment. Different areas are automatically filled with different colors in the XY coordinate system according to the size of the energy consumption value. At the same time, the temperature in the meteorological parameter is compared with the preset temperature value to determine whether it is high temperature or low temperature, and then the energy consumption value is adjusted according to the corresponding correction coefficient. In the embodiment of the present application, the preset temperature value is 35 degrees Celsius, the correction coefficient for high temperature is 1.2, and the correction coefficient for low temperature is 0.8. For example, when the temperature is higher than 35 degrees Celsius, the energy consumption value of the equipment in the area is multiplied by the correction coefficient of 1.2, and when the temperature is lower than 15 degrees Celsius, the energy consumption value of the equipment in the area is multiplied by the correction coefficient of 0.8. Finally, the markings on the energy consumption heat map are adjusted according to the corrected energy consumption values ​​to obtain the final energy consumption heat map.

[0043] Reference Figure 3 , Figure 3 This embodiment of the present application provides Figure 2 A schematic flow chart of a sub-step of step S102 includes steps S201 to S206, which are as follows: S201: Calculate the current load rate according to the ratio of the real-time power to the rated power in the power parameter, and calculate the initial energy consumption value according to the product of the real-time power and the running time.

[0044] Specifically, the electronic device reads the real-time power, rated power, and operating time of the construction equipment from local storage. The real-time power represents the actual operating power value of the construction equipment at the current moment, and the rated power refers to the maximum operating power value of the construction equipment under design or standard working conditions. The ratio of the real-time power to the rated power is calculated to obtain the current load rate, which can reflect the real-time load status of the construction equipment. At the same time, the real-time power and the operating time are multiplied to obtain the initial energy consumption value of the construction equipment, where the operating time represents the cumulative working time of the construction equipment since it was started, and the initial energy consumption value can reflect the total energy consumed by the equipment during the operating time.

[0045] S202: When the temperature is higher than a first preset threshold, a first weighting coefficient is determined according to a preset temperature influence curve and a current load rate.

[0046] Specifically, the electronic device compares the temperature with a first preset threshold stored in the system. The first preset threshold refers to a temperature critical value preset by the system. When the comparison result indicates that the current temperature is higher than the first preset threshold, it indicates that the device may be affected by the high temperature environment. At this time, a preset temperature impact curve is extracted from the storage unit of the electronic device. The preset temperature impact curve is a data table pre-set based on the change pattern of the device's operating performance under different temperature conditions, which is used to indicate the degree of impact of temperature on the device's operating efficiency and energy consumption. The data table includes first weighting coefficients corresponding to different temperatures and different current load rates. The first weighting coefficient corresponding to the current load rate and temperature is searched in the temperature curve table.

[0047] For example, the first preset threshold is 30°C. The detection result shows that the current temperature (35°C) is higher than the first preset threshold (30°C), indicating that the equipment may be affected by the high temperature environment. A query is performed in the preset temperature impact curve. When the current temperature is 35°C and the current load rate is 75%, the corresponding correction parameter is 0.9, thereby determining the first weighting coefficient to be 0.9.

[0048] S203: When the humidity is higher than a second preset threshold, a second weighting coefficient is determined according to a preset humidity influence curve and a current load rate.

[0049] Specifically, the electronic device compares the humidity with a second preset threshold stored in the system. This second preset threshold refers to a humidity critical value preset by the system. If the comparison result indicates that the current humidity is lower than the second preset threshold, indicating that the device may be affected by a low-humidity environment, a preset humidity impact curve is retrieved from the electronic device's storage unit. This preset humidity impact curve is a data table pre-set based on the device's operating performance changes under different humidity conditions, and is used to indicate the degree of impact of humidity on the device's operating efficiency and energy consumption. The data table includes second weighting coefficients corresponding to different humidity levels and current load rates. The second weighting coefficient corresponding to the current load rate and humidity is searched in the humidity curve table.

[0050] For example, the second preset threshold is 60%. The test results show that the current humidity (65%) is higher than the second preset threshold (60%), indicating that the equipment may be affected by the low humidity environment. A query is performed in the preset humidity impact curve. When the current humidity is 65% and the current load rate is 75%, the corresponding correction parameter is 0.85, thereby determining the second weighting coefficient to be 0.85.

[0051] S204: When the wind speed is higher than a third preset threshold, a third weighting coefficient is determined according to a preset wind speed influence curve and a current load rate.

[0052] Specifically, the electronic device compares the wind speed with a third preset threshold stored in the system. The third preset threshold refers to a wind speed critical value preset by the system. When the comparison result indicates that the current wind speed is higher than the third preset threshold, it indicates that the device may be affected by a strong wind environment. At this time, a preset wind speed impact curve is extracted from the storage unit of the electronic device. The preset wind speed impact curve is a data table pre-set based on the change in the operating performance of the device under different wind speed conditions, which is used to indicate the degree of impact of wind speed on the operating efficiency and energy consumption of the device. The data table includes the third weighting coefficient corresponding to different wind speeds and different current load rates. The third weighting coefficient corresponding to the current load rate and wind speed is searched in the wind speed curve table.

[0053] For example, the third preset threshold is 5m / s. The detection result shows that the current wind speed (6m / s) is higher than the third preset threshold (5m / s), indicating that the equipment may be affected by the strong wind environment. A query is performed in the preset wind speed influence curve. When the current wind speed is 6m / s and the current load rate is 75%, the corresponding correction parameter is 0.95, thereby determining that the third weighting coefficient is 0.95.

[0054] S205: Multiply the initial energy consumption value by the first weighting coefficient, the second weighting coefficient, and the third weighting coefficient respectively to obtain a corrected energy consumption value.

[0055] Specifically, the electronic device multiplies the initial energy consumption value by the first weighting coefficient, the second weighting coefficient, and the third weighting coefficient respectively to obtain a corrected energy consumption value that takes into account the influence of temperature, humidity, and wind speed.

[0056] For example, when the initial energy consumption value is 100kW·h, the first weighting coefficient is 0.9, the second weighting coefficient is 0.85, and the third weighting coefficient is 0.95, the product of the initial energy consumption value, the first weighting coefficient, the second weighting coefficient and the third weighting coefficient is 72.675kW·h, thus obtaining the corrected energy consumption value of 72.675kW·h.

[0057] S206: Generate an energy consumption heat map based on the location of the construction equipment and the corrected energy consumption value.

[0058] Specifically, the electronic device creates an XY coordinate system on the display screen, maps the location of each piece of construction equipment to an XY coordinate point, and annotates the equipment's corrected energy consumption value at that coordinate point. Then, based on the corrected energy consumption value at each location, the device automatically fills different areas with different colors to create the final energy consumption heat map.

[0059] For example, an excavator is located at the coordinate (50, 30) and has a corrected energy consumption value of 72.675 kW·h. The coordinate position is displayed in a corresponding color according to the size of the energy consumption value to obtain the final energy consumption heat map.

[0060] S103: Calculate the importance score of each construction equipment according to the energy consumption value of each construction equipment in the energy consumption heat map, the urgency of the current construction task of the construction equipment, and the degree of impact on the construction progress.

[0061] The importance score is calculated by comprehensively considering the energy consumption of construction equipment, the urgency of the construction task, and the impact on the construction schedule. The urgency indicates the time urgency of the construction equipment's current task, while the impact on the construction schedule indicates the extent to which a stoppage of the equipment would delay the overall construction schedule.

[0062] Specifically, the electronic device obtains the energy consumption value of each piece of construction equipment in the energy consumption heat map and reads the urgency of each equipment's current construction task and its impact on the construction progress from the construction management system. Based on the corresponding preset weights, the electronic device calculates the weighted sum of the energy consumption value, urgency, and impact to obtain the importance score of the construction equipment. In the implementation of this application, the preset weight for energy consumption is 30%, the preset weight for urgency is 35%, and the preset weight for impact is 35%.

[0063] For example, the energy consumption of an excavator is 72.675 kW·h, the task urgency is 0.8 (out of 1.0), and the impact on the construction progress is 0.9 (out of 1.0). The electronic device substitutes these parameters into the calculation formula: Importance score = Energy consumption value × 30% + Urgency × 35% + Impact × 35% = 72.675 × 30% + 0.8 × 35% + 0.9 × 35% = 22.683, resulting in an importance score of 22.683 for the equipment.

[0064] Reference Figure 4 , Figure 4 This embodiment of the present application provides Figure 2 A schematic flow chart of a sub-step of step S103 includes steps S301 to S305, which are as follows: S301: Obtain a construction plan for construction equipment, where the construction plan includes a process list for the construction equipment, and the process list includes a preceding process list and a succeeding process list.

[0065] A construction plan is a planning document that specifies the tasks that construction equipment must complete and their order. A bill of operations is an ordered list of specific processes that construction equipment must perform, including a predecessor and successor list. The predecessor list represents the set of processes that must be completed before the current process can begin, while the successor list represents the set of processes that can begin after the current process is completed.

[0066] Specifically, the electronic device reads the construction plan for the construction equipment from the construction management system's planning database. This plan is a planning document that specifies the tasks that the construction equipment must complete and their order. The plan includes a list of preceding and succeeding processes. The preceding process list represents the set of processes that must be completed before the current process begins, while the succeeding process list represents the set of processes that can be started after the current process completes.

[0067] For example, in the construction plan of an excavator, the process list includes: the previous process list is site cleaning and measurement and layout, the current process is foundation pit excavation, and the subsequent process list is foundation construction and backfilling. This means that before executing the foundation pit excavation process, the site cleaning and measurement and layout processes must be completed, and after completing the foundation pit excavation process, the foundation construction and backfilling processes can be started.

[0068] S302: Based on the construction plan, determine the urgency of the current construction task of the construction equipment and the impact of the construction equipment on the construction progress.

[0069] Specifically, the electronic device retrieves the remaining duration and standard duration data for the current process from the construction plan and calculates the urgency using the urgency calculation formula: urgency = 1 - remaining duration / standard duration. The electronic device then identifies the number of critical processes in the list of subsequent processes of the current process and calculates the impact using the impact calculation formula: impact = number of critical subsequent processes / total number of subsequent processes.

[0070] The remaining duration of the pit excavation process is 2 days, and the standard duration is 10 days. Therefore, the urgency is 1-2 / 10 = 0.8. This process has four subsequent processes, two of which are critical, so the impact is 2 / 4 = 0.5. If the current process is also critical, the impact is multiplied by the weighting factor 1.2, for a final impact of 0.5 × 1.2 = 0.6.

[0071] Reference Figure 5 , Figure 5 This embodiment of the present application provides Figure 4 A schematic flow chart of a sub-step of step S302 includes steps S401 to S403, which are as follows: S401: Obtain the position of the construction equipment in the construction area and the actual operating parameters of the construction equipment, and determine the movement characteristics based on the change in position.

[0072] The actual operation parameters refer to the current working efficiency and workload of the construction equipment. The movement characteristics refer to the motion trajectory and speed characteristics obtained by the change of the equipment position over time.

[0073] Specifically, the electronic device uses the GPS positioning system to obtain the real-time location coordinates of the construction equipment. Based on the sequence of location coordinates at different time points, it forms a motion trajectory. The location coordinates at adjacent time points are then calculated to determine the equipment's travel distance and average speed, yielding the equipment's movement characteristics. Simultaneously, the equipment's on-site monitoring sensors collect actual operating parameters such as work efficiency and workload.

[0074] For example, the position coordinates of an excavator at time t1 are x1 and y1, and at time t2 are x2 and y2. Electronic equipment calculates the difference between the two position coordinates and the time interval to determine the distance and average speed of the excavator during that time period, thereby determining the movement characteristics of the excavator. Simultaneously, the operation monitoring sensor records that the excavator has excavated 60 times in one hour, with each excavation volume of 2 cubic meters, resulting in an actual work efficiency of 120 cubic meters per hour.

[0075] S402: Determine the urgency of the construction task based on the material supply chain status, staffing situation, and equipment movement characteristics.

[0076] The material supply chain status refers to the inventory level and timeliness of supply of materials required for construction, while the staffing situation refers to the matching degree between the number of workers on the construction site and their skill levels.

[0077] Specifically, the electronic device obtains material supply chain status data and calculates the ratio of current inventory to planned usage to obtain a material supply score. It also obtains personnel allocation data and calculates the ratio of actual headcount to planned headcount to obtain a personnel score. It also obtains equipment movement characteristic data and calculates the ratio of actual movement speed to planned speed to obtain an equipment score. Finally, the task urgency is calculated by calculating the value of task urgency = 1 - (material supply score × material supply score preset weight + personnel score × personnel score preset weight + equipment score × equipment score preset weight). In this embodiment of the present application, the preset weight for the material supply score is 0.4, the preset weight for the personnel score is 0.3, and the preset weight for the equipment score is 0.4. For example, if the material supply score is 0.8, the personnel score is 0.7, and the equipment score is 0.9, then the task urgency is 1 - (0.8 × 0.4 + 0.7 × 0.3 + 0.9 × 0.3) = 0.2.

[0078] Reference Figure 6 , Figure 6 : This is a flow chart of a method for determining the urgency of construction equipment provided in an embodiment of the present application, including steps S501 to S505. The steps are as follows: S501: Calculate the progress completion rate of the construction equipment based on the planned workload and the current actual completion volume of the construction equipment, and determine the task emergency benchmark value based on the difference between the progress completion rate and the preset planned progress.

[0079] The preset planned progress refers to the standard progress ratio determined according to the construction plan. The task urgency benchmark value refers to the task urgency benchmark indicator obtained by comparing the actual progress with the planned progress.

[0080] Specifically, the electronic device divides the actual completion amount by the planned workload to obtain the progress completion rate, where the planned workload refers to the total amount of work tasks specified by the construction equipment in the construction plan, and the current actual completion amount refers to the amount of work tasks completed by the construction equipment. The electronic device then adds 1 to the preset planned progress minus the progress completion rate to obtain the task urgency benchmark value. The preset planned progress refers to the standard progress ratio determined according to the construction plan. In this embodiment of the application, the preset progress is 0.7. The task urgency benchmark value refers to the task urgency benchmark indicator obtained by comparing the actual progress with the planned progress.

[0081] For example, the planned workload of an excavator is 100 cubic meters, the current actual completion volume is 60 cubic meters, and the preset planned progress is 0.7. The progress completion rate is 60 divided by 100, which equals 0.6. The task emergency benchmark value is 1 plus 0.7 minus 0.6, which equals 1.1.

[0082] S502: Calculate the predecessor completion degree based on the process progress ratio of each process in the predecessor process list, and determine the predecessor status value based on the number of predecessor processes.

[0083] Specifically, the electronic device obtains the actual completion amount and planned completion amount data for each process in the predecessor process list and calculates the process progress ratio. The weighted average of the progress ratios of all processes is used to obtain the predecessor completion degree, which refers to the average degree of completion of all processes in the predecessor process list. A normalization coefficient is obtained by dividing the number of predecessor processes by the maximum number of processes preset by the system. In the embodiment of the present application, the maximum number of processes preset by the system is 5. The normalization coefficient is then multiplied by the predecessor completion degree to obtain the predecessor status value. The predecessor status value refers to a process status indicator obtained by comprehensively considering the predecessor completion degree and the number of predecessor processes.

[0084] For example, a certain construction equipment has two predecessor processes, the progress ratio of process 1 is 0.8, and the progress ratio of process 2 is 0.6. The predecessor completion degree is equal to (0.8 plus 0.6) divided by 2, which is equal to 0.7. The system presets the maximum number of processes to 5, and the normalization coefficient of the number of predecessor processes is 2 divided by 5, which is equal to 0.4. The final predecessor status value is 0.7 multiplied by 0.4, which is equal to 0.28.

[0085] S503: Calculate the subsequent urgency based on the time margin of each process in the subsequent process list, and determine the subsequent status value based on the number of subsequent processes.

[0086] The time margin refers to the difference between the planned start time of the subsequent process and the current time. The subsequent urgency refers to the average time urgency of all processes in the subsequent process list.

[0087] Specifically, the electronic device obtains the planned start time and current time data of each process in the subsequent process list and calculates the time margin. The normalized margin is obtained by dividing the time margin by the standard duration of the process. The subsequent urgency is obtained by subtracting the average value of the normalized margin from 1. The number of subsequent processes is divided by the maximum number of processes preset by the system to obtain a normalization coefficient, which is then multiplied by the subsequent urgency to obtain a subsequent state value. In the embodiment of the present application, the maximum number of processes preset by the system is 5. The subsequent state value refers to a process state indicator obtained by comprehensively considering the subsequent urgency and the number of subsequent processes. For example, a construction equipment has two subsequent processes, the normalized margin of process 1 is 0.3, and the normalized margin of process 2 is 0.5. The subsequent urgency is 1 minus (0.3 plus 0.5) divided by 2, which equals 0.6. The maximum number of processes preset by the system is 5, and the normalized coefficient of the number of subsequent processes is 2 divided by 5, which equals 0.4. The final subsequent state value is 0.6 multiplied by 0.4, which equals 0.24.

[0088] S504: Perform weighted calculation on the previous state value and the subsequent state value to obtain the task coordination coefficient.

[0089] Specifically, the electronic device performs weighted calculation on the predecessor state value and the successor state value based on the corresponding preset weights to obtain a task coordination coefficient. The task coordination coefficient refers to a task association index obtained by comprehensively considering the states of the predecessor and successor processes. In the embodiment of the present application, the weight of the predecessor state value is 0.4, and the weight of the successor state value is 0.6.

[0090] For example, if the preceding state value of a construction equipment is 0.28 and the succeeding state value is 0.24, then the task coordination coefficient is 0.28 multiplied by 0.4 plus 0.24 multiplied by 0.6, which equals 0.256.

[0091] S505: Multiply the task urgency benchmark value by the task coordination coefficient to obtain the urgency of the equipment construction task.

[0092] Specifically, the electronic equipment multiplies the task urgency benchmark value by the task coordination coefficient to obtain the urgency of the equipment construction task.

[0093] For example, the task urgency benchmark value of a certain construction equipment is 1.1, and the task coordination coefficient is 0.256. The urgency of the equipment's construction task is 1.1 multiplied by 0.256, which equals 0.282. This indicates that the urgency of the equipment's current construction task is relatively low.

[0094] Reference Figure 7 , Figure 7 6 is a flow chart of a method for determining the degree of influence of construction equipment provided in an embodiment of the present application, including steps S601 to S604, which are as follows: S601: Determine a stability score of the construction equipment based on the operating status data of the construction equipment.

[0095] Operational status data refers to the key performance parameters of construction equipment during the construction process. Stability score is an indicator of equipment reliability obtained by evaluating the fluctuation of equipment operational status parameters.

[0096] Specifically, the electronic device acquires operating status data for the construction equipment, such as engine speed, hydraulic pressure, and operating temperature. It calculates the ratio of the standard deviation of these parameters to their normal operating range to obtain the coefficient of fluctuation for each parameter. The stability score is then calculated by subtracting the weighted average of the coefficients of fluctuation for all parameters from their corresponding preset weights from 1. In this embodiment, the weight for the engine speed parameter is 0.4, the weight for the hydraulic pressure parameter is 0.3, and the weight for the operating temperature parameter is 0.3. For example, if the engine speed fluctuation coefficient for an excavator is 0.2, the hydraulic pressure fluctuation coefficient is 0.1, and the operating temperature fluctuation coefficient is 0.3, then the stability score is 1 minus (0.2 times 0.4 plus 0.1 times 0.3 plus 0.3 times 0.3), which equals 0.8.

[0097] S602: Determine the process relevance of the process where the construction equipment is located based on the work list.

[0098] Specifically, the electronic device obtains work list data for the construction equipment. The work list refers to a task list that contains the relationship between the current process of the construction equipment and other processes. The total number of predecessor and successor processes directly related to the current process is counted to obtain the number of associated processes. The number of associated processes is divided by the total number of processes in the work list to obtain a basic correlation. If the current process belongs to the critical path, the basic correlation is multiplied by a preset coefficient to obtain the process correlation. The process correlation refers to a process importance index obtained by evaluating the criticality of the current process in the overall construction process. In the embodiment of the present application, the preset coefficient is 1.5.

[0099] For example, the number of associated processes of the current process of a certain construction equipment is 4, and the total number of processes in the work list is 10. This process belongs to the critical path, so the process correlation is equal to 4 divided by 10 multiplied by 1.5, which is equal to 0.6.

[0100] S603: Evaluate the duration of construction delay caused by changes in the operating status of construction equipment.

[0101] Specifically, the electronic device compares the actual working efficiency of the construction equipment with the standard working efficiency data stored in the system. The standard working efficiency refers to the expected operating capacity of the equipment under normal operating conditions. If the comparison result shows that the actual working efficiency is lower than the standard working efficiency, it indicates that the equipment may be operating abnormally. In this case, the efficiency reduction ratio is calculated and the remaining workload is multiplied by the efficiency reduction ratio to obtain the construction progress delay duration. The construction progress delay duration is the time the construction progress is delayed due to the change in the equipment's operating status.

[0102] For example, an excavator's engine failure causes its efficiency to drop from 30 cubic meters per hour to 20 cubic meters per hour, and the remaining workload is 300 cubic meters. The efficiency reduction ratio is (30 minus 20) divided by 30, which equals 0.33. The construction progress delay time is 300 divided by 20 minus 300 divided by 30, which equals 5 hours.

[0103] S604: Determine the degree of impact based on the stability score, process correlation, and duration of construction delay.

[0104] Specifically, the electronic equipment divides the construction delay duration by the planned process duration to obtain the delay ratio. The stability score is subtracted from 1 to obtain the failure risk value. The delay ratio, process correlation, and failure risk value are weighted to calculate the impact level. The impact level is an indicator of the impact of the equipment status on the construction progress, evaluated based on the above factors. In this embodiment of the application, the delay ratio weight is 0.4, the process correlation is 0.3, and the failure risk value is 0.3.

[0105] For example, if the construction equipment is delayed for 5 hours and the planned construction period is 20 hours, the delay ratio is 0.25, the stability score is 0.8, the process correlation is 0.6, and the final impact level is 0.25 multiplied by 0.4 plus 0.6 multiplied by 0.3 plus 0.2 multiplied by 0.3, which equals 0.34.

[0106] S403: Compare the actual operation parameters with the planned operation parameters in the construction node plan to determine the impact on the construction progress.

[0107] Planned operating parameters refer to indicators such as standard work efficiency and target workload specified in the construction node plan. The impact of construction progress refers to the progress delay impact indicator obtained by comparing actual and planned operating parameters.

[0108] Specifically, the electronic device obtains actual and planned operating parameter data for the construction equipment and calculates a work efficiency ratio and a workload ratio, respectively. The work efficiency ratio is equal to the actual work efficiency divided by the planned work efficiency, and the workload ratio is equal to the actual completed workload divided by the planned completed workload. A weighted average of the work efficiency ratio and the workload ratio is taken based on preset weights, and the degree of influence is calculated by subtracting the weighted average from 1. In this embodiment of the present application, the weights of the work efficiency ratio and the workload ratio are both 0.5.

[0109] For example, the actual work efficiency of an excavator is 120 cubic meters per hour, the planned work efficiency is 150 cubic meters per hour, the actual completed workload is 1,200 cubic meters, and the planned completed workload is 1,500 cubic meters. The work efficiency ratio is 0.8, the workload ratio is 0.8, the weights of the two items are 0.5 each, and the impact degree is 1 minus (0.8 multiplied by 0.5 plus 0.8 multiplied by 0.5) equals 0.2.

[0110] S303 calculates the importance benchmark score based on the urgency of the construction task and the impact on the construction progress.

[0111] The importance benchmark score is a basic score determined based on the criticality of construction equipment during the construction process. The energy intensity coefficient is the ratio of the equipment's energy consumption per unit time to its standard energy consumption. The importance score is an equipment evaluation indicator derived by comprehensively considering the equipment's importance and energy consumption.

[0112] Specifically, the electronic device calculates the importance base score by weighting the urgency of the construction task and the impact on the construction progress according to preset weights. In this embodiment, the urgency weight is 0.6 and the impact weight is 0.4. The energy intensity coefficient of the device is then obtained. This coefficient is the ratio of the device's energy consumption per unit time to its standard energy consumption. The importance base score is multiplied by the energy intensity coefficient to obtain the importance score.

[0113] For example, the urgency of a certain excavator construction task is 0.7, and the impact on the construction progress is 0.5. The importance benchmark calculated based on the preset weights is 0.7×0.6+0.5×0.4=0.62; the actual energy consumption is 15 liters per hour, and the standard energy consumption is 10 liters per hour. The energy consumption intensity coefficient is calculated to be 15 / 10=1.5, and the final importance score is 0.62×1.5=0.93.

[0114] S304: Extract the energy consumption value of the equipment location in the energy consumption heat map, and normalize the energy consumption value to obtain the energy consumption intensity coefficient.

[0115] Specifically, the electronic equipment extracts the energy consumption value of the current location of the construction equipment from the energy consumption heat map, which reflects the distribution of energy consumption in the construction area. The extracted energy consumption value is then normalized by dividing it by the maximum energy consumption value in the heat map to obtain the energy consumption intensity coefficient, which reflects the relative energy consumption level of the equipment's location.

[0116] For example, the energy consumption value of a certain excavator position is 15, and the maximum energy consumption value of the heat map is 20. The energy intensity coefficient is 15 divided by 20, which is 0.75.

[0117] S305: Calculate the importance score of each construction equipment based on the importance benchmark score and the energy consumption intensity coefficient.

[0118] Specifically, the electronic device obtains the construction equipment's importance benchmark score and energy intensity coefficient data, and performs a weighted calculation based on preset weights to generate an importance score. This importance score reflects the equipment's overall importance during the construction process. In this embodiment, the importance benchmark score is weighted at 0.6, and the energy intensity coefficient is weighted at 0.4.

[0119] For example, if the importance benchmark score of a certain excavator is 0.8 and the energy intensity coefficient is 0.75, then the importance score is equal to 0.8 multiplied by 0.6 plus 0.75 multiplied by 0.4, which equals 0.78.

[0120] S104: Control the first construction equipment whose importance score is greater than the preset score to operate according to the preset energy-saving strategy, and determine the hierarchical energy-saving strategy for the second construction equipment whose importance score is not greater than the preset score, and control the second construction equipment to operate according to the hierarchical energy-saving strategy.

[0121] The preset score refers to the system-set threshold for device importance. The preset energy-saving strategy is a basic energy-saving plan for high-importance devices. The tiered energy-saving strategy is a differentiated energy-saving plan based on the device importance score.

[0122] Specifically, the electronic device obtains the importance score data of the construction equipment, compares the score with the system's preset score and classifies it. For the first construction equipment whose importance score is greater than the preset score, the device is controlled using the preset energy-saving strategy developed for high-importance equipment. For the second construction equipment whose importance score is not greater than the preset score, the device is controlled using a differentiated graded energy-saving strategy determined based on the score range. In this embodiment of the present application, the preset score is 0.8, and the graded energy-saving strategy sets different engine speed limits based on the score range: scores between 0.5 and 0.8 limit the speed to no more than 1800 rpm, scores below 0.5 limit the speed to no more than 1500 rpm, and the preset energy-saving strategy limits the engine speed to no more than 2000 rpm.

[0123] For example, an excavator's importance score is 0.78, which is lower than the preset score of 0.8 and is classified as second-tier construction equipment. Because its score is between 0.5 and 0.8, the graded energy-saving strategy limits its engine speed to no more than 1800 rpm.

[0124] Based on the above embodiment, as another optional embodiment, the step of determining the hierarchical energy-saving strategy for the second construction equipment whose importance score is not greater than the preset score may also include the following process: Specifically, the electronic device obtains the usage frequency percentage and importance score data of the second construction equipment, divides the usage frequency percentage by 100 and converts it into a value between 0 and 1, and performs weighted calculation on the usage frequency and importance score according to the preset weight to obtain the usage grade score. The equipment is then divided into three categories: high frequency, medium frequency, and low frequency according to the usage grade score, and corresponding energy-saving strategies are formulated for each. In the embodiment of the present application, the usage frequency weight is 0.6, and the importance score weight is 0.4. High-frequency equipment adopts a strategy of allocating operating power according to the energy consumption characteristics of the equipment and the construction load, medium-frequency equipment adopts a strategy of equipment sharing or rotation based on process connection requirements, and low-frequency equipment adopts a strategy of centralized or time-divided use based on the operation characteristics and progress requirements.

[0125] For example, an excavator has an 85% usage frequency (converted to 0.85) and an importance score of 0.65. The calculated usage grade is 0.85 × 0.6 + 0.65 × 0.4 = 0.77, classifying it as a high-frequency device. According to the load allocation strategy, the power is maintained at 90% under heavy load conditions, reduced to 70% under normal operation, and 50% under light load. A loader has a 40% usage frequency (converted to 0.4) and an importance score of 0.5. The calculated usage grade is 0.4 × 0.6 + 0.5 × 0.4 = 0.44, classifying it as a medium-frequency device. A rotation strategy is adopted: use it in process A in the morning and process B in the afternoon. A concrete pump truck has a 20% usage frequency (converted to 0.2) and an importance score of 0.3. The calculated usage grade is 0.2 × 0.6 + 0.3 × 0.4 = 0.24, classifying it as a low-frequency device. A concentrated usage strategy is adopted: use it from 9:00 AM to 11:00 AM daily.

[0126] Figure 8 This is a module diagram of an energy-saving control system for construction equipment disclosed in an embodiment of the present application, including: A multi-source data acquisition module 21 is used to obtain working condition data and meteorological parameters in a construction area, wherein the construction area includes a plurality of construction equipment, and the working condition data includes the location, power parameters, and operating status data of the construction equipment; An energy consumption thermodynamic map generating module 22 is configured to generate an energy consumption thermodynamic map based on the working condition data and the meteorological parameters, wherein the energy consumption thermodynamic map displays the energy consumption value of each construction equipment in the construction area; The equipment priority assessment module 23 is used to calculate the importance score of each construction equipment according to the energy consumption value of each construction equipment in the energy consumption heat map, the urgency of the current construction task of the construction equipment and the degree of impact on the construction progress; The intelligent energy-saving control module 24 is used to control the first construction equipment whose importance score is greater than the preset score to operate according to the preset energy-saving strategy, and to determine the hierarchical energy-saving strategy for the second construction equipment whose importance score is not greater than the preset score, and control the second construction equipment to operate according to the hierarchical energy-saving strategy.

[0127] The energy consumption thermogram generation module 22 is also used to calculate the current load rate based on the ratio of the real-time power to the rated power in the power parameter, and calculate the initial energy consumption value based on the product of the real-time power and the operating time; when the temperature is higher than the first preset threshold, the first weighting coefficient is determined according to the preset temperature influence curve and the current load rate; when the humidity is higher than the second preset threshold, the second weighting coefficient is determined according to the preset humidity influence curve and the current load rate; when the wind speed is higher than the third preset threshold, the third weighting coefficient is determined according to the preset wind speed influence curve and the current load rate; the initial energy consumption value is multiplied by the first weighting coefficient, the second weighting coefficient and the third weighting coefficient respectively to obtain a corrected energy consumption value; and an energy consumption thermogram is generated based on the position of the construction equipment and the corrected energy consumption value.

[0128] The equipment priority assessment module 23 is also used to obtain the construction plan of the construction equipment, the construction plan includes a process list of the construction equipment, and the process list includes a preceding process list and a subsequent process list; based on the construction plan, determine the urgency of the current construction task of the construction equipment and the degree of influence of the construction equipment on the construction progress; calculate the importance benchmark score based on the urgency of the construction task and the degree of influence on the construction progress; extract the energy consumption value of the equipment position in the energy consumption thermodynamic map, normalize the energy consumption value to obtain the energy consumption intensity coefficient; and calculate the importance score of each construction equipment in combination with the importance benchmark score and the energy consumption intensity coefficient.

[0129] The equipment priority assessment module 23 is also used to calculate the progress completion rate of the construction equipment based on the planned workload and the current actual completion amount of the construction equipment, and determine the task urgency benchmark value based on the difference between the progress completion rate and the preset planned progress; calculate the predecessor completion degree based on the process progress ratio of each process in the predecessor process list, and determine the predecessor status value in combination with the number of predecessor processes; calculate the subsequent urgency based on the time margin of each process in the subsequent process list, and determine the subsequent status value in combination with the number of subsequent processes; perform weighted calculation on the predecessor status value and the subsequent status value to obtain the task coordination coefficient; multiply the task urgency benchmark value by the task coordination coefficient to obtain the urgency of the equipment construction task.

[0130] The equipment priority assessment module 23 is also used to determine the stability score of the construction equipment based on the operating status data of the construction equipment; determine the process correlation of the process in which the construction equipment is located according to the work list; evaluate the duration of construction delay caused by changes in the operating status of the construction equipment; and determine the degree of impact based on the stability score, the process correlation and the duration of construction delay.

[0131] The equipment priority assessment module 23 is also used to obtain the position of the construction equipment in the construction area and the actual operating parameters of the construction equipment, and determine the movement characteristics according to the change of the position; determine the urgency of the construction task according to the material supply chain status, the personnel configuration and the equipment movement characteristics; compare the actual operating parameters with the planned operating parameters in the construction node plan to determine the degree of impact on the construction progress.

[0132] The intelligent energy-saving control module 24 is also used to divide the usage level of the second construction equipment into high frequency, medium frequency and low frequency according to the importance score and the usage frequency of the construction equipment; wherein, the hierarchical energy-saving strategy of the high-frequency equipment is to allocate the operating power according to the energy consumption characteristics of the equipment and the construction load; the hierarchical energy-saving strategy of the medium-frequency equipment is to share or rotate the equipment based on the process connection requirements; the hierarchical energy-saving strategy of the low-frequency equipment is to use it in a concentrated period or in a divided period according to the operating characteristics of the low-frequency equipment and the construction progress requirements.

[0133] It should be noted that the above embodiments provide devices that implement their functions using only the division of the above functional modules as examples. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the device and method embodiments provided in the above embodiments are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0134] This embodiment also discloses an electronic device 900, referring to Figure 9 The electronic device may include: at least one processor 901 , at least one communication bus 902 , a user interface 903 , a network interface 904 , and at least one memory 905 .

[0135] The communication bus 902 is used to implement connection and communication between these components.

[0136] The user interface 903 may include a display screen (Display) and a camera (Camera). Optional user interfaces may also include a standard wired interface and a wireless interface.

[0137] The network interface 904 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0138] Processor 901 may include one or more processing cores. The processor utilizes various interfaces and circuits to connect various components within the server. It executes instructions, programs, code sets, or instruction sets stored in memory, and accesses data stored in memory to perform various server functions and process data. Optionally, the processor may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). The processor may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing content displayed on the display; and the modem handles wireless communications. It is understood that the modem may also be implemented as a separate chip, rather than integrated into the processor.

[0139] Memory 905 may include random access memory (RAM) or read-only memory (ROM). Optionally, the memory may include non-transitory computer-readable storage medium. The memory may be used to store instructions, programs, code, code sets, or instruction sets. The memory may include a program storage area and a data storage area. The program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, sound playback function, image playback function, etc.), instructions for implementing each of the aforementioned method embodiments, etc.; the data storage area may store data related to each of the aforementioned method embodiments, etc. The memory may also optionally be at least one storage device located remotely from the aforementioned processor. As shown in the figure, the memory, as a computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for an energy-saving control method for construction equipment.

[0140] exist Figure 9In the electronic device shown, the user interface is mainly used to provide an input interface for the user and obtain data input by the user; and the processor can be used to call an application program stored in the memory for an energy-saving control method for construction equipment. When executed by one or more processors, the electronic device executes one or more methods as in the above embodiments.

[0141] It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for this application.

[0142] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0143] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic, such as the division of units, which is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interface, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0144] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0145] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0146] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the various embodiments of the method of this application. The aforementioned memory includes various media that can store program code, such as USB flash drives, mobile hard drives, magnetic disks, or optical disks.

[0147] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any variations, uses or adaptive changes of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field that are not recorded in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A method for energy-saving control of construction equipment, characterized in that: The method comprises: Acquiring operating condition data and meteorological parameters within a construction area, wherein the construction area includes a plurality of construction equipment, the operating condition data including the location, power parameters, and operating status data of the construction equipment; generating an energy consumption thermodynamic map based on the working condition data and the meteorological parameters, wherein the energy consumption thermodynamic map displays the energy consumption value of each construction equipment in the construction area; Calculate the importance score of each construction equipment according to the energy consumption value of each construction equipment in the energy consumption thermodynamic diagram, the urgency of the current construction task of the construction equipment and the degree of impact on the construction progress; The first construction equipment whose importance score is greater than the preset score is controlled to operate according to the preset energy-saving strategy, and a hierarchical energy-saving strategy is determined for the second construction equipment whose importance score is not greater than the preset score, and the second construction equipment is controlled to operate according to the hierarchical energy-saving strategy.

2. The method according to claim 1, characterized in that Generating an energy consumption thermodynamic map based on the operating condition data and the meteorological parameters specifically includes: Calculating the current load rate based on the ratio of the real-time power to the rated power in the power parameter, and calculating the initial energy consumption value based on the product of the real-time power and the running time; When the temperature is higher than a first preset threshold, determining a first weighting coefficient according to a preset temperature influence curve and the current load rate; When the humidity is higher than a second preset threshold, determining a second weighting coefficient according to a preset humidity influence curve and the current load rate; When the wind speed is higher than a third preset threshold, determining a third weighting coefficient according to a preset wind speed influence curve and the current load rate; Multiplying the initial energy consumption value by the first weighting coefficient, the second weighting coefficient, and the third weighting coefficient respectively to obtain a modified energy consumption value; An energy consumption heat map is generated based on the location of the construction equipment and the corrected energy consumption value.

3. The method according to claim 1, characterized in that The importance score of each construction equipment is calculated based on the energy consumption value of each construction equipment in the energy consumption thermodynamic diagram, the urgency of the current construction task of the construction equipment, and the degree of impact on the construction progress, specifically including: Obtaining a construction plan for the construction equipment, the construction plan including a process list for the construction equipment, the process list including a preceding process list and a subsequent process list; Determining, based on the construction plan, the urgency of the current construction task of the construction equipment and the impact of the construction equipment on the construction progress; Calculate an importance benchmark score based on the urgency of the construction task and the impact on the construction progress; Extracting energy consumption values ​​of equipment locations in the energy consumption heat map, and normalizing the energy consumption values ​​to obtain energy consumption intensity coefficients; The importance score of each construction equipment is calculated by combining the importance benchmark score and the energy consumption intensity coefficient.

4. The method according to claim 3, characterized in that The construction plan also includes the planned construction period and planned workload of the construction equipment. The urgency of the current construction task of the construction equipment is determined based on the construction plan, specifically including: Calculating the progress completion rate of the construction equipment based on the planned workload and the current actual completion rate of the construction equipment, and determining the task emergency benchmark value based on the difference between the progress completion rate and the preset planned progress; Calculate the predecessor completion degree based on the process progress ratio of each process in the predecessor process list, and determine the predecessor status value based on the number of predecessor processes; Calculate the subsequent urgency based on the time margin of each process in the subsequent process list, and determine the subsequent status value based on the number of subsequent processes; Performing weighted calculation on the preceding state value and the subsequent state value to obtain a task coordination coefficient; The task urgency benchmark value is multiplied by the task coordination coefficient to obtain the urgency of the equipment construction task.

5. The method according to claim 3, characterized in that Determining the degree of influence of the construction equipment on the construction progress based on the construction plan specifically includes: determining a stability score of the construction equipment based on the operating status data of the construction equipment; Determining the process relevance of the process where the construction equipment is located according to the work list; Assess the duration of construction delay caused by changes in the operating status of the construction equipment; The impact degree is determined based on the stability score, the process correlation and the duration of the construction delay.

6. The method according to claim 3, characterized in that The construction plan also includes the material supply chain status, personnel allocation and construction node plan of the construction equipment. The construction node plan includes the planned workload and planned operation parameters of each node. The urgency of the current construction task of the construction equipment and the impact of the construction equipment on the construction progress are determined based on the construction plan, and further includes: Obtaining a position of the construction equipment in the construction area and actual operating parameters of the construction equipment, and determining a movement characteristic based on a change in the position; Determining the urgency of the construction task based on the material supply chain status, the staffing situation, and the equipment movement characteristics; The actual operation parameters are compared with the planned operation parameters in the construction node plan to determine the impact on the construction progress.

7. The method according to claim 1, characterized in that The step of determining the hierarchical energy-saving strategy for the second construction equipment having an importance score not greater than a preset score specifically includes: Classifying the usage level of the second construction equipment into high frequency, medium frequency, and low frequency according to the importance score and the usage frequency of the construction equipment; The hierarchical energy-saving strategy for high-frequency equipment is to adjust the operating power according to the energy consumption characteristics of the equipment and the construction load; The hierarchical energy-saving strategy for the medium frequency equipment is to share or rotate equipment based on process connection requirements; The hierarchical energy-saving strategy for low-frequency equipment is to use the equipment in concentrated periods or in divided periods according to the operating characteristics and construction progress requirements of the low-frequency equipment.

8. An energy-saving control system for construction equipment, characterized in that: include: A multi-source data acquisition module is used to obtain working condition data and meteorological parameters in a construction area, wherein the construction area includes a plurality of construction equipment, and the working condition data includes the location, power parameters and operating status data of the construction equipment; an energy consumption heat map generating module, configured to generate an energy consumption heat map based on the working condition data and the meteorological parameters, wherein the energy consumption heat map displays the energy consumption value of each construction equipment in the construction area; An equipment priority assessment module is used to calculate the importance score of each construction equipment according to the energy consumption value of each construction equipment in the energy consumption heat map, the urgency of the current construction task of the construction equipment and the degree of impact on the construction progress; The intelligent energy-saving control module is used to control the first construction equipment whose importance score is greater than the preset score to operate according to the preset energy-saving strategy, and to determine the hierarchical energy-saving strategy for the second construction equipment whose importance score is not greater than the preset score, and control the second construction equipment to operate according to the hierarchical energy-saving strategy.

9. An electronic device, characterized in that: The electronic device comprises a processor, a memory, a user interface and a network interface, wherein the memory is used to store instructions, the user interface and the network interface are both used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is executed.

Images