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

Abstract

This invention relates to an energy-saving control method, system, electronic equipment, and storage medium for construction equipment, within the field of building construction. The method involves acquiring operating condition data and meteorological parameters within a construction area, which includes multiple construction devices. The operating condition data includes the location, power parameters, and operating status data of the construction devices. An energy consumption heat map is generated based on the operating condition data and meteorological parameters, displaying the energy consumption values ​​of each construction device within the construction area. An importance score is calculated for each construction device based on its energy consumption value in the heat map, the urgency of its current construction task, and its impact on the construction progress. The method controls the first construction device with an importance score greater than a preset score to operate according to a preset energy-saving strategy, and determines a tiered energy-saving strategy for the second construction device with an importance score not greater than the preset score, controlling the second construction device to operate according to the tiered energy-saving strategy. This application improves the accuracy of energy-saving control for construction equipment.

Description

Technical Field

[0001] This 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 Technology

[0002] With the increasing number of construction projects worldwide, energy consumption in the construction industry is becoming increasingly prominent. Construction equipment, such as excavators and cranes, is a crucial component of construction sites, and its energy management is key to improving energy efficiency, reducing costs, and minimizing environmental impact. Therefore, exploring more efficient energy management methods for construction equipment has become an inevitable trend in the industry's development.

[0003] Currently, energy consumption monitoring devices are often installed on construction equipment to collect real-time operating status data. The collected operating status data is then analyzed, and the operating status of the equipment is adjusted based on the analysis results.

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

[0005] This application provides an energy-saving control method, system, electronic device, and storage medium for construction equipment, which improves the accuracy of energy-saving control.

[0006] A first aspect of this application provides an energy-saving control method for construction equipment, comprising: acquiring operating condition data and meteorological parameters within a construction area, wherein 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; generating an energy consumption heat map based on the operating condition data and the meteorological parameters, wherein the energy consumption heat map displays the energy consumption value of each construction equipment within the construction area; calculating an importance score for each construction equipment based on 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; controlling a first construction equipment with an importance score greater than a preset score to operate according to a preset energy-saving strategy; and determining a graded energy-saving strategy for a second construction equipment with an importance score not greater than the preset score, and controlling the second construction equipment to operate according to the graded energy-saving strategy.

[0007] By adopting the above technical solution, and acquiring operating data and meteorological parameters, including not only the location, power, and operating status of the equipment, but also considering the impact of environmental factors, basic data is provided for a comprehensive assessment of equipment energy consumption. The energy consumption heat map generated based on this data intuitively displays the energy consumption distribution of each piece of equipment, which helps to identify high-energy-consuming areas. An importance score is calculated by combining the urgency of the current task of the equipment and its impact on the construction progress. This scoring mechanism comprehensively considers the actual importance of the equipment in the construction process. For the first category of equipment with high scores, a preset energy-saving strategy is adopted to ensure its construction efficiency, while for the second category 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 scores ensures the normal operation of key equipment and achieves the energy-saving target of non-key equipment, effectively avoiding 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, generating an energy consumption heat map based on the operating data and meteorological parameters specifically includes: calculating the current load rate based on the ratio of real-time power to rated power in the power parameters, and calculating an initial energy consumption value based on the product of real-time power and operating time; when the temperature is higher than a first preset threshold, determining a first weighting coefficient based on 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 based on 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 based on 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 corrected energy consumption value; and generating an energy consumption heat map based on the location of the construction equipment and the corrected energy consumption value.

[0009] By adopting the above technical solution, the initial energy consumption is assessed by calculating the load rate. Then, the corresponding weighting coefficients are determined by combining the influence of environmental factors such as temperature, humidity, and wind speed on energy consumption. The initial energy consumption value is multiplied by the weighting coefficients of multiple environmental factors to obtain the 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 considers environmental impact makes the energy consumption assessment more accurate.

[0010] Optionally, the step of comprehensively calculating the importance score of each construction equipment based on 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 specifically includes: obtaining the construction plan of the construction equipment, the construction plan including the work order list of the construction equipment, the work order list including the preceding work order list and the following work order list; determining the urgency of the current construction task of the construction equipment and the degree of impact of the construction equipment on the construction progress based on the construction plan; calculating the importance benchmark score based on the urgency of the construction task and the degree of impact on the construction progress; extracting the energy consumption value of the equipment location in the energy consumption heat map, normalizing the energy consumption value to obtain the energy intensity coefficient; and calculating the importance score of each construction equipment by combining the importance benchmark score and the energy intensity coefficient.

[0011] By adopting the above technical solution, the importance benchmark score is calculated by obtaining the process list of construction equipment and assessing the urgency and impact on the schedule based on the preceding and subsequent process lists. Then, the comprehensive importance score of the equipment is obtained by combining the normalized energy intensity coefficient in the energy consumption heat map. This scoring mechanism, which combines process correlation, construction progress and energy intensity, can comprehensively reflect the actual importance of the equipment in the construction process and provides 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. Determining the urgency of the current construction task of the construction equipment based on the construction plan specifically includes: calculating the progress completion rate of the construction equipment based on the planned workload and the current actual completion amount; determining the task urgency benchmark value based on the difference between the progress completion rate and the preset planned progress; calculating the prior completion degree based on the progress ratio of each process in the prior process list; determining the prior status value based on the number of prior processes; calculating the subsequent urgency based on the time margin of each process in the subsequent process list; determining the subsequent status value based on the number of subsequent processes; performing a weighted calculation on the prior status value and the subsequent status value to obtain a task coordination coefficient; and 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, combining the planned schedule and workload, determining the task urgency baseline value based on the difference between the progress completion rate and the planned schedule, and calculating the task coordination coefficient through the progress ratio of the preceding process and the time margin of the subsequent process, an accurate urgency assessment is finally obtained. This multi-level assessment method, which considers schedule deviation, process correlation and time constraints, can accurately reflect the actual urgency of the construction task and provide a more reliable basis for importance scoring.

[0014] Optionally, determining the degree of impact of the construction equipment on the construction progress based on the construction plan specifically includes: 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 to which the construction equipment belongs based on the work list; assessing the duration of the construction period delay caused by changes in the operating status of the construction equipment; and determining the degree of impact based on the stability score, the process correlation, and the duration of the construction period delay.

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

[0016] Optionally, the construction plan also includes the material supply chain status of the construction equipment, personnel configuration, and construction node plan. The construction node plan includes the planned workload and planned operation parameters for 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 further includes: obtaining the location of the construction equipment in the construction area and the actual operation parameters of the construction equipment; determining movement characteristics based on changes in the location; determining the urgency of the construction task based on the material supply chain status, personnel configuration, and equipment movement characteristics; and 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 solutions, and by incorporating factors such as material supply, personnel allocation, and equipment movement into the evaluation system, and by comparing and analyzing actual operating parameters with planned parameters, a dynamic assessment of the urgency and schedule impact of construction tasks is achieved. This comprehensive evaluation method, which considers resource allocation and actual operating conditions, can more accurately reflect the actual situation at the construction site and provide more comprehensive decision support for the dynamic adjustment of energy-saving control strategies.

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

[0019] By adopting the above technical solutions and using a tiered mechanism based on importance scoring and usage frequency, differentiated energy-saving strategies are implemented for different equipment. High-frequency equipment achieves refined energy saving through power allocation, medium-frequency equipment improves equipment utilization efficiency through sharing and rotation, and low-frequency equipment optimizes usage through time-period management. This 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] A second aspect of this application provides an energy-saving control system for construction equipment, comprising: A multi-source data acquisition module is used to acquire working condition data and meteorological parameters within the construction area. The construction area includes multiple construction devices, and the working condition data includes the location, power parameters, and operating status data of the construction devices. An energy consumption heat map generation module is used to generate an energy consumption heat map based on the operating data and the meteorological parameters. The energy consumption heat map displays the energy consumption value of each construction equipment in the construction area. The equipment priority assessment module is used to calculate the importance score of each construction equipment based on 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 a first construction equipment with an importance score greater than a preset score to operate according to a preset energy-saving strategy, and to determine a graded energy-saving strategy for a second construction equipment with an importance score not greater than a preset score, and to control the second construction equipment to operate according to the graded energy-saving strategy.

[0021] By adopting the above technical solution, and acquiring operating data and meteorological parameters, including not only the location, power, and operating status of the equipment, but also considering the impact of environmental factors, basic data is provided for a comprehensive assessment of equipment energy consumption. The energy consumption heat map generated based on this data intuitively displays the energy consumption distribution of each piece of equipment, which helps to identify high-energy-consuming areas. An importance score is calculated by combining the urgency of the current task of the equipment and its impact on the construction progress. This scoring mechanism comprehensively considers the actual importance of the equipment in the construction process. For the first category of equipment with high scores, a preset energy-saving strategy is adopted to ensure its construction efficiency, while for the second category 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 scores ensures the normal operation of key equipment and achieves the energy-saving target of non-key equipment, effectively avoiding 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] A third aspect of this application provides an electronic device including 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 to cause the electronic device to perform the method as described in any of the foregoing.

[0023] A fourth aspect of this application provides a computer-readable storage medium storing instructions that, when executed, perform the method described in any of the preceding descriptions. Attached Figure Description

[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 this application; Figure 2 This is a flowchart illustrating an energy-saving control method for construction equipment disclosed in an embodiment of this application. Figure 3 yes Figure 2 A flowchart illustrating a sub-step of step S102; Figure 4 yes Figure 2 A flowchart illustrating a sub-step of step S103; Figure 5 yes Figure 4 A flowchart illustrating a sub-step of step S302; Figure 6 This is a flowchart illustrating a method for determining the urgency level of construction equipment. Figure 7 This is a flowchart illustrating a method for determining the degree of influence of construction equipment. Figure 8This is a schematic diagram of a module of an energy-saving control system for construction equipment provided in an embodiment of this application; Figure 9 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application.

[0025] Explanation of reference numerals in the attached diagram: 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 Implementation

[0026] 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 with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

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

[0028] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple systems means two or more systems, and multiple screen terminals means two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof 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 devices 11, network 12, and construction equipment 13. Network 12 serves as the medium for providing a communication link between electronic devices 11 and construction equipment 13. Network 12 may include various connection types, such as wired or wireless communication links or fiber optic cables.

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

[0032] Electronic device 11 is hardware and can be various electronic devices with a display screen, including but not limited to smartphones, tablets, laptops, and desktop computers.

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

[0034] The following detailed explanation uses the electronic device side as an example.

[0035] This embodiment discloses an energy-saving control method for construction equipment. Figure 2 This is a flowchart illustrating an energy-saving control method for construction equipment disclosed in an embodiment of this application, as shown below. Figure 2 As shown, steps S101 to S104 are included, and the steps are as follows: S101: Acquire operating condition data and meteorological parameters within the construction area. 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] In this embodiment of the application, the construction area refers to a specific spatial range in which engineering work is 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 the mechanical equipment used to complete various construction operations within the construction area, such as excavators, bulldozers, and cranes.

[0038] Operating condition data represents a collection of various working status parameters of construction equipment during operation, including equipment location, power parameters, and operating status data.

[0039] Specifically, the electronic device acquires operating condition data and meteorological parameters within the construction area through its built-in data acquisition module. It receives operating condition data transmitted from sensor modules installed on various construction equipment within the area. These sensor modules include a GPS positioning module for acquiring the real-time geographic coordinates of the construction equipment, a power detection module for measuring the rated power and actual operating power of the equipment, and a status monitoring module for recording information such as equipment on / off status, operating time, and load level. Simultaneously, the electronic device connects to meteorological monitoring stations deployed within the construction area, receiving meteorological data in real-time from temperature, humidity, 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 data locally through its storage module.

[0040] S102: Generate an energy consumption heat map based on operating data and meteorological parameters. 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 graphic that shows the energy consumption distribution at various locations within the construction area in the form of a heat map.

[0042] Specifically, the electronic equipment multiplies the power parameters in the operating data by the running time to obtain the energy consumption value of each construction device. Then, an XY coordinate axis is established, and the energy consumption value of each construction device is marked on the corresponding XY coordinate point according to the location information of the construction device. Different areas are automatically filled in the XY coordinate system with different colors according to the magnitude of the energy consumption value. At the same time, the temperature in the meteorological parameters is compared with the preset temperature value to determine whether it is high or low temperature. Then, the energy consumption value is adjusted according to the corresponding correction coefficient. In this embodiment, 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 device in that 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 device in that 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 value to obtain the final energy consumption heat map.

[0043] Reference Figure 3 , Figure 3 This is provided by the embodiments of this application. Figure 2 A flowchart illustrating a sub-step of step S102, including steps S201 to S206, is as follows: S201: Calculate the current load rate based on the ratio of real-time power to rated power in the power parameters, and calculate the initial energy consumption value based on the product of real-time power and operating time.

[0044] Specifically, the electronic equipment reads the real-time power, rated power, and operating time of the construction equipment from local storage. Real-time power represents the actual operating power of the construction equipment at the current moment, while rated power refers to the maximum operating power of the construction equipment under design or standard operating conditions. The ratio of real-time power to rated power is calculated to obtain the current load rate, which reflects the real-time load status of the construction equipment. Simultaneously, the real-time power is multiplied by the operating time to obtain the initial energy consumption value of the construction equipment, where operating time represents the cumulative working time of the construction equipment since startup, and the initial energy consumption value reflects the total energy consumed by the equipment within that operating time.

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

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

[0047] For example, if the first preset threshold is 30℃, and the detection result shows that the current temperature (35℃) is higher than the first preset threshold (30℃), it indicates that the equipment may be affected by the high temperature environment. By querying the preset temperature influence curve, when the current temperature is 35℃ and the current load rate is 75%, the corresponding correction parameter is 0.9, thus determining the first weighting coefficient to be 0.9.

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

[0049] Specifically, the electronic device compares the humidity level with a second preset threshold stored in the system. This second preset threshold refers to a humidity threshold pre-set by the system. When the comparison result indicates that the current humidity is lower than the second preset threshold, it means that the device may be affected by the low humidity environment. At this time, 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 changes in the device's operating performance under different humidity conditions, used to represent the degree of influence of humidity on the device's operating efficiency and energy consumption. The data table includes a second weighting coefficient corresponding to different humidity levels and different current load rates. The second weighting coefficient corresponding to the current load rate and humidity is found in the humidity curve table.

[0050] For example, if the second preset threshold is 60%, and the detection result shows that the current humidity (65%) is higher than the second preset threshold (60%), it indicates that the equipment may be affected by the low humidity environment. By querying the preset humidity influence curve, when the current humidity is 65% and the current load rate is 75%, the corresponding correction parameter is 0.85, thus determining the second weighting coefficient to be 0.85.

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

[0052] Specifically, the electronic device compares the wind speed with a third preset threshold stored in the system. This third preset threshold refers to a pre-set critical wind speed value. When the comparison result indicates that the current wind speed is higher than the third preset threshold, it means that the device may be affected by strong winds. At this time, a preset wind speed impact curve is retrieved from the electronic device's storage unit. This preset wind speed impact curve is a data table pre-set based on the changes in the device's operating performance under different wind speed conditions, used to represent the degree of impact of wind speed on the device's operating efficiency and energy consumption. The data table includes a 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 found in the wind speed curve table.

[0053] For example, if the third preset threshold is 5 m / s, and the detection result shows that the current wind speed (6 m / s) is higher than the third preset threshold (5 m / s), it indicates that the equipment may be affected by the strong wind environment. By querying the preset wind speed influence curve, when the current wind speed is 6 m / s and the current load rate is 75%, the corresponding correction parameter is 0.95, thus determining the third weighting coefficient to be 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 the 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 effects of temperature, humidity, and wind speed.

[0056] For example, when the initial energy consumption value is 100 kWh, 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 72.675 kWh, thus obtaining the corrected energy consumption value of 72.675 kWh.

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

[0058] Specifically, the electronic equipment establishes an XY coordinate system on the display screen, mapping the location information of each construction device to an XY coordinate point, and marking the corrected energy consumption value of the device at that coordinate point. Then, based on the magnitude of the corrected energy consumption value at each location, different areas are automatically filled with different colors to obtain the final energy consumption heat map.

[0059] For example, if an excavator is located at coordinates (50, 30) and its corrected energy consumption value is 72.675 kW·h, the coordinate position is displayed with the corresponding color according to the magnitude of the energy consumption value to obtain the final energy consumption heat map.

[0060] S103: Calculate the importance score of each construction equipment based on 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 an evaluation score 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 level indicates the time-sensitive nature of the current task of the construction equipment, while the impact on the construction schedule indicates the degree of delay caused by the downtime of the equipment to the overall construction schedule.

[0062] Specifically, the electronic equipment acquires the energy consumption value of each construction device in the energy consumption heatmap, and reads the urgency of the current construction task and its impact on the construction progress data of each device from the construction management system. Based on the corresponding preset weights, a weighted sum of the energy consumption value, urgency, and impact is calculated to obtain the importance score of the construction device. In this application, the preset weights for energy consumption value and urgency are 30%, 35%, and 35%, respectively.

[0063] For example, an excavator has an energy consumption of 72.675 kWh, a task urgency of 0.8 (out of 1.0), and an impact on construction progress of 0.9 (out of 1.0). The electronic equipment substitutes these parameters into the calculation formula: Importance score = Energy consumption × 30% + Urgency × 35% + Impact × 35% = 72.675 × 30% + 0.8 × 35% + 0.9 × 35% = 22.683, thus obtaining an importance score of 22.683 for the equipment.

[0064] Reference Figure 4 , Figure 4 This is provided by the embodiments of this application. Figure 2 A flowchart illustrating a sub-step of step S103, including steps S301 to S305, is as follows: S301: Obtain the construction plan for the construction equipment. The construction plan includes a list of procedures for the construction equipment, which includes a list of preceding procedures and a list of subsequent procedures.

[0065] A construction plan is a document that specifies the tasks that construction equipment needs to complete and their sequence. A work order list is an ordered list of specific work orders that construction equipment needs to perform, including a list of preceding work orders and a list of succeeding work orders. The list of preceding work orders represents the set of work orders that must be completed before the current work order begins, and the list of succeeding work orders represents the set of work orders that can begin after the current work order is completed.

[0066] Specifically, the electronic equipment reads the construction plan from the planning database of the construction management system. This construction plan is a document that specifies the work tasks that the construction equipment needs to complete and their sequence. The construction plan includes a list of preceding and succeeding processes. The list of preceding processes represents the set of processes that must be completed before the current process begins, and the list of succeeding processes represents the set of processes that can begin after the current process is completed.

[0067] For example, in the construction plan of a certain excavator, the list of procedures includes the following: the previous procedure is site clearing and surveying, the current procedure is foundation pit excavation, and the subsequent procedure is foundation construction and backfilling. This means that before the foundation pit excavation procedure is carried out, the site clearing and surveying procedure must be completed, and after the foundation pit excavation procedure is completed, the foundation construction and backfilling procedure can begin.

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

[0069] Specifically, the electronic equipment obtains the remaining and standard duration data for the current process from the construction plan, and calculates the urgency level using the urgency level calculation formula: Urgency Level = 1 - Remaining Duration / Standard Duration. Then, the electronic equipment identifies the number of critical processes in the list of subsequent processes for the current process, and calculates the impact level using the impact level calculation formula: Impact Level = Number of Critical Subsequent Processes / Total Number of Subsequent Processes.

[0070] The remaining time for the pit excavation process is 2 days, and the standard time is 10 days, so the urgency level is 1 - 2 / 10 = 0.8. There are 4 subsequent processes, 2 of which are critical, so the impact level is 2 / 4 = 0.5. If the current process is also a critical process, the impact level needs to be multiplied by a weighting factor of 1.2, resulting in a final impact level of 0.5 × 1.2 = 0.6.

[0071] Reference Figure 5 , Figure 5 This is provided by the embodiments of this application. Figure 4 A flowchart illustrating a sub-step of step S302, including steps S401 to S403, is shown below: S401: Obtain the location 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 changes in location.

[0072] Among them, actual operating parameters refer to operational data such as the current working efficiency and workload of the construction equipment. Movement characteristics refer to the motion trajectory and speed characteristics obtained based on the changes in the equipment's position over time.

[0073] Specifically, the electronic equipment obtains the real-time location coordinates of the construction equipment through a GPS positioning system, forms a movement trajectory based on the sequence of location coordinates at different time points, and calculates the moving distance and average speed of the equipment by calculating the location coordinates at adjacent time points, thus obtaining the movement characteristics of the equipment. At the same time, actual operation parameters such as work efficiency and completed workload are collected by operation monitoring sensors installed on the equipment.

[0074] For example, if an excavator's position coordinates at time t1 are x1 and y1, and its position coordinates at time t2 are x2 and y2, the electronic equipment calculates the difference between the position coordinates at the two times and the time interval to obtain the distance traveled and the average speed of the equipment during that time period, thereby determining the equipment's movement characteristics. Simultaneously, the operation monitoring sensors record that the excavator digs 60 times per hour, with a single digging volume of 2 cubic meters, resulting in an actual working efficiency of 120 cubic meters per hour.

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

[0076] The status of the material supply chain refers to the inventory level and timeliness of supply of materials required for construction. Personnel allocation refers to the matching degree of the number and skill level of on-site workers.

[0077] Specifically, electronic devices acquire material supply chain status data and calculate a material supply score by comparing the current inventory level with the planned usage. They acquire personnel configuration data and calculate a personnel score by comparing the actual number of personnel with the planned number. They acquire equipment movement characteristic data and calculate an equipment score by comparing the actual movement speed with the planned speed. Finally, the task urgency is calculated as: Task Urgency = 1 - (Material Supply Score × Preset Weight of Material Supply Score + Personnel Score × Preset Weight of Personnel Score + Equipment Score × Preset Weight of Equipment Score). In this embodiment, the preset weights for the material supply score, personnel score, and equipment score are 0.4, 0.3, and 0.4, respectively. 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 flowchart illustrating a method for determining the urgency level of construction equipment according to an embodiment of this application, including steps S501 to S505, as follows: S501: Calculate the progress completion rate of the construction equipment based on the planned workload and the current actual completion amount, and determine the task urgency benchmark value based on the difference between the progress completion rate and the preset planned progress.

[0079] Among them, 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 index obtained by comparing the actual progress with the planned progress.

[0080] Specifically, the electronic equipment divides the actual completed amount by the planned workload to obtain the progress completion rate. The planned workload refers to the total amount of work tasks specified in the construction plan, and the current actual completed amount refers to the amount of work tasks already completed by the construction equipment. Then, 1 is added to the preset planned progress and the progress completion rate is subtracted to obtain the task urgency benchmark value. This preset planned progress refers to the standard progress ratio determined according to the construction plan; in this embodiment, the preset progress is 0.7. The task urgency benchmark value is a benchmark index of task urgency obtained by comparing the actual progress with the planned progress.

[0081] For example, if an excavator is planned to work 100 cubic meters, and the current actual work completed is 60 cubic meters, and the preset progress is 0.7, then the progress completion rate is 60 divided by 100 equals 0.6, and the task urgency baseline value is 1 plus 0.7 minus 0.6 equals 1.1.

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

[0083] Specifically, the electronic device acquires the actual and planned completion amounts of each process in the preceding process list and calculates the process progress ratio. It then calculates a weighted average of the progress ratios of all processes to obtain the preceding completion degree, which refers to the average completion level of all processes in the preceding process list. A normalization coefficient is obtained by dividing the number of preceding processes by the system's preset maximum number of processes (in this embodiment, the system presets a maximum number of processes as 5). This coefficient is then multiplied by the preceding completion degree to obtain the preceding status value, which is a process status index obtained by comprehensively considering both the preceding completion degree and the number of preceding processes.

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

[0085] S503: Calculate the urgency of the subsequent process 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.

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

[0087] Specifically, the electronic equipment acquires the planned start time and current time data of each process in the subsequent process list and calculates the time margin. It obtains the standardized margin by dividing the time margin by the standard duration of the process, subtracts the average of the standardized margins from 1 to obtain the subsequent urgency, divides the number of subsequent processes by the system's preset maximum number of processes to obtain the normalization coefficient, and multiplies this by the subsequent urgency to obtain the subsequent status value. In this embodiment, the system's preset maximum number of processes is 5. This subsequent status value refers to the process status index obtained by comprehensively considering the subsequent urgency and the number of subsequent processes. For example, a construction device has two subsequent processes: process 1 has a standardized margin of 0.3, and process 2 has a standardized margin of 0.5. The subsequent urgency is 1 minus (0.3 plus 0.5) divided by 2, which equals 0.6. The system's preset maximum number of processes is 5, and the normalization coefficient for the number of subsequent processes is 2 divided by 5, which equals 0.4. The final subsequent status value is 0.6 multiplied by 0.4, which equals 0.24.

[0088] S504: The task coordination coefficient is obtained by weighting the preceding and subsequent state values.

[0089] Specifically, the electronic device calculates the task coordination coefficient by weighting the preceding and subsequent state values ​​based on corresponding preset weights. The task coordination coefficient refers to the task correlation index obtained by comprehensively considering the states of the preceding and subsequent processes. In this embodiment, the weight of the preceding state value is 0.4 and the weight of the subsequent state value is 0.6.

[0090] For example, if the preceding state value of a certain construction equipment is 0.28 and the following 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 baseline value by the task coordination coefficient to obtain the urgency level of the equipment construction task.

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

[0093] For example, if the task urgency baseline value of a certain construction equipment is 1.1 and the task coordination coefficient is 0.256, then the urgency level of the equipment's construction task is 1.1 multiplied by 0.256, which equals 0.282, indicating that the urgency level of the current construction task of the equipment is relatively low.

[0094] Reference Figure 7 , Figure 7 This is a flowchart illustrating a method for determining the degree of influence of construction equipment according to an embodiment of this application, including steps S601 to S604, as follows: S601: Determine the stability score of construction equipment based on the operating status data of the construction equipment.

[0095] Among them, operational status data refers to the key performance parameters of construction equipment during the construction process. Stability score is an equipment reliability index obtained by evaluating the fluctuations in equipment operational status parameters.

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

[0097] S602: Determine the process correlation of the construction equipment based on the work list.

[0098] Specifically, the electronic equipment acquires the work list data of the construction equipment. This work list refers to a list of tasks that includes the relationships between the current process of the construction equipment and other processes. The total number of preceding and succeeding processes directly related to the current process is counted to obtain the number of related processes. The number of related processes is divided by the total number of processes in the work list to obtain the basic correlation degree. If the current process belongs to the critical path, the basic correlation degree is multiplied by a preset coefficient to obtain the process correlation degree. The process correlation degree refers to the process importance index obtained by assessing the criticality of the current process in the overall construction process. In this embodiment, the preset coefficient is 1.5.

[0099] For example, if the current process of a certain construction equipment has 4 associated processes and the total number of processes in the work list is 10, and this process belongs to the critical path, then the process association degree is equal to 4 divided by 10 and then multiplied by 1.5, which equals 0.6.

[0100] S603: Assess the duration of project delays caused by changes in the operating status of construction equipment.

[0101] Specifically, the electronic equipment compares the actual working efficiency of the construction equipment with the standard working efficiency data stored in the system. This standard working efficiency refers to the expected operational capacity of the equipment under normal operating conditions. When the comparison results show 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 construction schedule delay is obtained by calculating the efficiency reduction ratio and multiplying the remaining workload by the efficiency reduction ratio. The construction schedule delay refers to the time delay caused by changes in the equipment's operating status.

[0102] For example, if an excavator's working efficiency drops from 30 cubic meters per hour to 20 cubic meters per hour due to an engine malfunction, and the remaining workload is 300 cubic meters, then 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 stability score, process correlation, and duration of project delay.

[0104] Specifically, for electronic equipment, the delay period is divided by the planned duration of each process 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 then weighted to calculate the degree of impact. The degree of impact refers to the indicator of the equipment status's influence on the construction progress, obtained by comprehensively evaluating the above factors. In this embodiment, the delay ratio has a weight of 0.4, the process correlation is 0.3, and the failure risk value is 0.3.

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

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

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

[0108] Specifically, the electronic equipment acquires the actual and planned operating parameters of the construction equipment, and calculates the work efficiency ratio and workload ratio respectively. The work efficiency ratio equals the actual work efficiency divided by the planned work efficiency, and the workload ratio equals the actual completed workload divided by the planned completed workload. A weighted average is calculated on the work efficiency ratio and workload ratio according to preset weights. The degree of influence is obtained by subtracting the weighted average from 1. In this embodiment, the weights for both the work efficiency ratio and workload ratio are 0.5.

[0109] For example, if an excavator's actual working efficiency is 120 cubic meters per hour and its planned working efficiency is 150 cubic meters per hour, and the actual work completed is 1200 cubic meters while the planned work completed is 1500 cubic meters, then the working efficiency ratio is 0.8, the work volume ratio is 0.8, and the weight of each item is 0.5. The degree of influence 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 its impact on the construction schedule.

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

[0112] Specifically, the electronic device calculates an importance benchmark score by weighting the urgency of the construction task and its impact on the construction schedule according to preset weights. In this embodiment, the urgency weight is 0.6, and the impact weight is 0.4. Then, the energy intensity coefficient of the device is obtained, which is the ratio of the device's energy consumption per unit time to its standard energy consumption. The importance benchmark 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, the impact on the construction progress is 0.5, and the importance benchmark score is calculated as 0.7×0.6+0.5×0.4=0.62 according to the preset weights; the actual energy consumption is 15 liters per hour, the standard energy consumption is 10 liters per hour, the calculated energy intensity coefficient is 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 from the energy consumption heat map, and normalize the energy consumption value to obtain the energy 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. Then, the extracted energy consumption value is divided by the maximum energy consumption value in the heat map for normalization to obtain the energy intensity coefficient, which reflects the relative energy consumption level of the equipment's location.

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

[0117] S305: Calculate the importance score of each construction equipment by combining the importance benchmark score and the energy intensity coefficient.

[0118] Specifically, the electronic equipment acquires the importance benchmark score and energy consumption intensity coefficient data of the construction equipment, and calculates an importance score based on preset weights. This importance score reflects the overall importance of the equipment during the construction process. In this embodiment, the importance benchmark score has a weight of 0.6, and the energy consumption intensity coefficient has a weight of 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 with an importance score greater than the preset score to operate according to the preset energy-saving strategy, and determine the graded energy-saving strategy for the second construction equipment with an importance score not greater than the preset score, and control the second construction equipment to operate according to the graded energy-saving strategy.

[0121] Among these, the preset score refers to the equipment importance score threshold set by the system. The preset energy-saving strategy refers to the basic energy-saving plan formulated for equipment with high importance. The tiered energy-saving strategy refers to the differentiated energy-saving plan determined based on the equipment importance score.

[0122] Specifically, the electronic equipment acquires importance score data of the construction equipment, compares and classifies the scores with the system's preset scores, and uses a preset energy-saving strategy designed for high-importance equipment to control the operation of the first construction equipment with an importance score greater than the preset score. For the second construction equipment with an importance score not greater than the preset score, a differentiated graded energy-saving strategy is determined based on the score range for control. In this embodiment, the preset score is 0.8, and the graded energy-saving strategy sets different engine speed limits based on the score range: for scores between 0.5 and 0.8, the engine speed is limited to no more than 1800 rpm; for scores below 0.5, the engine speed is limited 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 has an importance score of 0.78, which is lower than the preset score of 0.8, classifying it as a second-tier construction equipment. Since its score falls within the range of 0.5 to 0.8, according to the graded energy-saving strategy, its engine speed is limited to no more than 1800 revolutions per minute.

[0124] Based on the above embodiments, as another optional embodiment, the step of determining the graded energy-saving strategy for the second construction equipment whose importance score is not greater than the preset score may further include the following process: Specifically, the electronic equipment acquires the usage frequency percentage and importance score data of the second construction equipment. The usage frequency percentage is divided by 100 to convert it to a value between 0 and 1. A weighted calculation is then performed on the usage frequency and importance score according to preset weights to obtain a usage level score. The equipment is then classified into three categories—high-frequency, medium-frequency, and low-frequency—based on the usage level score, and corresponding energy-saving strategies are formulated for each category. In this embodiment, 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 based on equipment energy consumption characteristics and construction load; medium-frequency equipment adopts a strategy of sharing or rotating use based on process connection requirements; and low-frequency equipment adopts a strategy of centralized or time-segmented use based on operational characteristics and schedule requirements.

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

[0126] Figure 8 This is a schematic diagram of a module of an energy-saving control system for construction equipment disclosed in an embodiment of this application, including: The multi-source data acquisition module 21 is used to acquire working condition data and meteorological parameters within the construction area. The construction area includes multiple construction equipment, and the working condition data includes the location, power parameters, and operating status data of the construction equipment. The energy consumption heat map generation module 22 is used to generate an energy consumption heat map based on the operating data and the meteorological parameters. The energy consumption heat 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 based on 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 with an importance score greater than a preset score to operate according to a preset energy-saving strategy, and to determine the graded energy-saving strategy for the second construction equipment with an importance score not greater than a preset score, and to control the second construction equipment to operate according to the graded energy-saving strategy.

[0127] The energy consumption heat map generation module 22 is further configured to calculate the current load rate based on the ratio of real-time power to rated power in the power parameters, and calculate the initial energy consumption value based on the product of real-time power and running time; when the temperature is higher than a first preset threshold, determine a first weighting coefficient based on a preset temperature influence curve and the current load rate; when the humidity is higher than a second preset threshold, determine a second weighting coefficient based on a preset humidity influence curve and the current load rate; when the wind speed is higher than a third preset threshold, determine a third weighting coefficient based on a preset wind speed influence curve and the current load rate; 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; and generate an energy consumption heat map based on the location 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 including the work order list of the construction equipment, the work order list including the preceding work order list and the following work order list; based on the construction plan, determine the urgency of the current construction task of the construction equipment and the degree of impact 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 impact on the construction progress; extract the energy consumption value of the equipment location in the energy consumption heat map, normalize the energy consumption value to obtain the energy consumption intensity coefficient; and calculate the importance score of each construction equipment by combining the importance benchmark score and the energy consumption intensity coefficient.

[0129] The equipment priority assessment module 23 is further configured to: calculate the progress completion rate of the construction equipment based on the planned workload and the current actual completion amount; determine the task urgency benchmark value based on the difference between the progress completion rate and the preset planned progress; calculate the prior completion degree based on the progress ratio of each process in the prior process list, and determine the prior status value based on the number of prior 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; perform a weighted calculation on the prior status value and the subsequent status value to obtain a task coordination coefficient; and multiply the task urgency benchmark value by the task coordination coefficient to obtain the urgency level 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 to which the construction equipment belongs based on the work list; assess the duration of the construction period delay caused by the change 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 the construction period delay.

[0131] The equipment priority assessment module 23 is also used to obtain the location of the construction equipment in the construction area and the actual operating parameters of the construction equipment, determine the movement characteristics based on the changes in the location; determine the urgency of the construction task based on the material supply chain status, the personnel configuration and the equipment movement characteristics; and 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 classify 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 energy-saving strategy for high frequency equipment is to allocate operating power according to the energy consumption characteristics of the equipment and the construction load; the energy-saving strategy for medium frequency equipment is to share or rotate equipment based on the needs of process connection; and the energy-saving strategy for low frequency equipment is to use it in concentrated periods or in different periods according to the operating characteristics of low frequency equipment and the construction progress requirements.

[0133] It should be noted that the above embodiments of the apparatus are only illustrated by the division of the above functional modules. In practical 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 apparatus and method embodiments provided in the above embodiments belong to the same concept, and the specific implementation process can be found in the method embodiments, which will not be repeated here.

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

[0135] The communication bus 902 is used to enable communication between these components.

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

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

[0138] The processor 901 may include one or more processing cores. The processor connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in memory, and by calling data stored in memory. Optionally, the processor may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor.

[0139] The memory 905 may include random access memory (RAM) or read-only memory. Optionally, the memory may include a non-transitory computer-readable storage medium. The memory can 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, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory may also 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 to obtain the user input data; while the processor can be used to call an application program stored in the memory for an energy-saving control method of construction equipment. When executed by one or more processors, the electronic device performs one or more methods as described in the above embodiments.

[0141] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, as some steps may be performed in other orders or simultaneously according to this application. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0142] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0143] In the several embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual couplings or direct couplings or communication connections may be through some service interfaces; indirect couplings or communication connections between apparatuses or units may be electrical or other forms.

[0144] The units described as separate components may or may not be physically separate. The 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 the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0145] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[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 storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part 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 to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0147] The foregoing description is merely an exemplary embodiment of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will be readily apparent to those skilled in the art upon consideration of the disclosure in this specification. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. An energy-saving control method for construction equipment, characterized in that, The method includes: Acquire working condition data and meteorological parameters within the construction area, which includes multiple construction devices. The working condition data includes the location, power parameters, and operating status data of the construction devices. An energy consumption heat map is generated based on the operating data and meteorological parameters. The energy consumption heat map displays the energy consumption value of each construction equipment in the construction area. The importance score of each construction equipment is calculated based on 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. This includes: obtaining the construction plan of the construction equipment, the construction plan including the work process list of the construction equipment, and the work process list including the previous work process list and the next work process list. Based on the construction plan, the urgency of the current construction task of the construction equipment and the degree of impact of the construction equipment on the construction progress are determined; wherein, the construction plan also includes the planned construction period and planned workload of the construction equipment. Based on the construction plan, determining the urgency of the current construction task of the construction equipment includes: calculating the progress completion rate of the construction equipment according to the planned workload and the current actual completion amount, and determining the task urgency benchmark value according to the difference between the progress completion rate and the preset planned progress. The completion rate of the preceding process is calculated based on the progress ratio of each process in the preceding process list, and the preceding status value is determined in combination with the number of preceding processes. Calculate the urgency of the subsequent process 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. The task coordination coefficient is obtained by weighting the preceding state value and the subsequent state value. The urgency level of the equipment construction task is obtained by multiplying the task urgency benchmark value by the task coordination coefficient. An importance benchmark score is calculated based on the urgency of the construction task and the impact on the construction schedule. Extract the energy consumption value of the equipment location from the energy consumption heat map, and normalize the energy consumption value to obtain the energy intensity coefficient; The importance score of each construction equipment is calculated by combining the importance benchmark score and the energy intensity coefficient; The system controls the first construction equipment with an importance score greater than a preset score to operate according to a preset energy-saving strategy, and determines a graded energy-saving strategy for the second construction equipment with an importance score not greater than a preset score, and controls the second construction equipment to operate according to the graded energy-saving strategy.

2. The method according to claim 1, characterized in that, The generation of the energy consumption heat map based on the operating data and the meteorological parameters specifically includes: The current load rate is calculated based on the ratio of real-time power to rated power in the power parameters, and the initial energy consumption value is calculated based on the product of real-time power and running time. When the temperature is higher than the first preset threshold, the first weighting coefficient is determined based on 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 based on 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 based on 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 the corrected 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 determination of the impact of the construction equipment on the construction progress based on the construction plan specifically includes: The stability score of the construction equipment is determined based on the operational status data of the construction equipment. Determine the process correlation of the construction equipment based on the work list; Assess the duration of project delays caused by changes in the operating status of the construction equipment; The degree of impact is determined based on the stability score, the process correlation, and the duration of the project delay.

4. The method according to claim 1, characterized in that, The construction plan also includes the material supply chain status of the construction equipment, personnel allocation, and construction node plans. The construction node plans include the planned workload and planned operation parameters for each node. Based on the construction plan, determining the urgency of the current construction tasks of the construction equipment and the impact of the construction equipment on the construction progress also includes: The location of the construction equipment in the construction area and the actual operating parameters of the construction equipment are obtained, and the movement characteristics are determined based on the changes in the location. The urgency of the construction task is determined based on the status of the material supply chain, the personnel configuration, and the equipment movement characteristics. The actual operating parameters are compared with the planned operating parameters in the construction node plan to determine the degree of impact on the construction progress.

5. The method according to claim 1, characterized in that, The graded energy-saving strategy for determining that the importance score of the second construction equipment is not greater than the preset score specifically includes: Based on the importance score and the frequency of use of the construction equipment, the usage level of the second construction equipment is divided into high frequency, medium frequency and low frequency. The graded energy-saving strategy for the high-frequency equipment involves adjusting the operating power based on the equipment's energy consumption characteristics and construction load. The graded energy-saving strategy for the medium-frequency equipment is to share or rotate equipment based on the needs of process connection. The graded energy-saving strategy for low-frequency equipment is to use it in concentrated periods or in different periods, based on the operating characteristics and construction progress requirements of the low-frequency equipment.

6. An energy-saving control system for construction equipment, used to implement the method described in any one of claims 1 to 5, characterized in that, include: A multi-source data acquisition module is used to acquire working condition data and meteorological parameters within the construction area. The construction area includes multiple construction devices, and the working condition data includes the location, power parameters, and operating status data of the construction devices. An energy consumption heat map generation module is used to generate an energy consumption heat map based on the operating data and the meteorological parameters. The energy consumption heat map displays the energy consumption value of each construction equipment in the construction area. The equipment priority assessment module is used to calculate the importance score of each construction equipment based on 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 with an importance score greater than a preset score to operate according to a preset energy-saving strategy, and to determine the graded energy-saving strategy for the second construction equipment with an importance score not greater than the preset score, and control the second construction equipment to operate according to the graded energy-saving strategy.

7. An electronic device, characterized in that, The device includes 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. The processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any one of claims 1-5.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores instructions that, when executed, perform the method as described in any one of claims 1-5.

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