Single-box energy consumption calculation method of bridge crane and storage medium

Abstract

The invention belongs to the technical field of transportation equipment, and particularly relates to a single-box energy consumption calculation method for a bridge crane and a storage medium, and the method comprises the steps: collecting a bridge crane operation data set in real time through a multi-source sensor; inputting the collected operation data into a pre-trained single-box energy consumption calculation model, and outputting an initial value of electric energy consumed by a single box of the suspension bridge; calibrating the initial value of the electric energy consumed by the single box through a pre-stored environment compensation algorithm; and generating a bridge crane health diagnosis report based on the calibrated electric energy value consumed by the single box, and triggering a grading maintenance instruction. According to the method, the operation data is collected in real time through the multi-source sensor, the single-container energy consumption calculation model is constructed based on the potential energy item, the friction item and the standby energy consumption item, the actual electric quantity energy consumption of each container in the loading and unloading process can be accurately calculated, and the limitation of a traditional average allocation method is overcome.

Description

Technical Field

[0001] This invention belongs to the field of transportation equipment technology, specifically relating to a method for calculating the energy consumption of a single container of a bridge crane and a storage medium thereon. Background Technology

[0002] In port container operations, precise energy consumption management of gantry cranes is crucial for reducing operating costs. Currently, there are significant shortcomings in the calculation of energy consumption for gantry cranes during container loading and unloading. Traditional methods mainly employ simple average allocation, estimating average energy consumption based on the ratio of the crane's electricity consumption to the number of containers handled during a given period. However, this method ignores the substantial impact of key factors such as container weight on energy consumption, leading to significant discrepancies between the calculated results and actual energy consumption. Specifically, differences in container weight, variations in lifting height and horizontal movement distance during loading and unloading, the self-weight of the crane's main and auxiliary trolleys and changes in the friction coefficient of the travel track, as well as the selection of spreader modes, all significantly affect the actual energy consumption of gantry crane operations.

[0003] Given the above problems, existing technologies cannot accurately reflect the actual power consumption of each container during the loading and unloading process of the gantry crane. This not only affects the level of precision in port energy management, but also restricts the optimization of gantry crane operation efficiency and cost control. Summary of the Invention

[0004] To address the aforementioned shortcomings of the prior art, this invention provides a method for calculating the energy consumption of a single-box bridge crane and a storage medium thereon.

[0005] In a first aspect, the present invention provides a method for calculating the energy consumption of a single unit of a bridge crane, comprising: S1. Real-time acquisition of bridge crane operation datasets through multi-source sensors; S2. Input the collected operation data into the pre-trained single-box energy consumption calculation model and output the initial value of electrical energy consumed by a single box of the suspension bridge. S3. The pre-stored environmental compensation algorithm calibrates the initial value of the electrical energy consumed by a single box; S4. Generate a bridge crane health diagnosis report based on the calibrated single-box power consumption value, and trigger a graded maintenance instruction.

[0006] Further improvements to this technical solution include step S1, which includes: S1.1 The weight of the container is collected in real time by weighing sensors installed on the gantry crane. ; S1.2 Measure the lifting height of the main trolley using the configured laser rangefinder. Lifting height of the auxiliary trolley And according to the lifting height of the main trolley Lifting height of the auxiliary trolley Calculate the total lifting height. ; S1.3 Record walking distance using the configured encoder. ; S1.4, Load the pre-stored self-weight of the main trolley and auxiliary trolley from the gantry crane database. ; S1.5 Record invalid waiting time using the configured timer. .

[0007] Further improvements to this technical solution include the following: the single-box energy consumption calculation model in step S2 is as follows: ; in, Let be the electrical energy consumed by the i-th container during the loading and unloading process by the gantry crane; For the first The potential energy term of a container; For the first Friction items per container; For the first Standby power consumption per container; This refers to the theoretical rated speed of the hoisting mechanism in the bridge crane; This refers to the transmission efficiency coefficient. The coefficient of friction of the track; This is the standby power factor; Total power consumption of the quay crane in 1 hour; This refers to the spreader mode coefficient; For the vehicle system coefficients; The total energy consumption intensity of n samples within 1 hour.

[0008] Further improvements to this technical solution include step S3, which includes: S3.1 Calculate the environmental compensation factor: ; in, The instantaneous wind speed in the crane's operating environment; The air temperature at the work site; S3.2, Compensation for final output energy consumption: .

[0009] Further improvements to this technical solution include step S4, which includes: S4.1 Calculate the Energy Efficiency Health Index : ; in, This represents the actual electrical energy consumption of a single container during operation. The pre-stored reference transmission efficiency; To determine the direction function of efficiency deviation; S4.2, Hierarchical maintenance triggering mechanism: when If a motor winding fault is detected, the machine should be stopped immediately. when If wear is detected, the reducer should be stopped within 24 hours. when When the crane is in normal working condition, it is determined to be in normal working condition and is continuously monitored.

[0010] Further improvements to this technical solution include optimizing the parameters of the single-box energy consumption calculation model: Collect M sets of job records and construct an optimized dataset; Define residual function : ; in, For the first The potential energy term of a container; For the first Friction items per container; For the first Standby power consumption per container; For sample index; The total number of samples; Let m be the measured electrical energy consumption of the m-th container; Solving for the optimal friction coefficient f and transmission efficiency η based on the residual function: ; in, For optimal transmission efficiency; The optimal friction coefficient; To optimize the solver.

[0011] Further improvements to this technical solution include optimizing the parameters of the single-box energy consumption calculation model, which also includes: The model parameters are updated based on the optimized friction coefficient f and transmission efficiency η: ; in, To improve transmission efficiency; The current transmission efficiency; The updated coefficient of friction; The current coefficient of friction; The learning rate; The gradient in the direction of transmission efficiency η; The gradient in the direction of the friction coefficient f.

[0012] In a second aspect, the present invention provides a computer storage medium storing instructions which, when executed on a computer, cause the computer to perform the methods described in the above aspects.

[0013] The beneficial effects of this invention are as follows: Precise energy consumption calculation: By collecting operational data in real time from multiple sources (such as container weight, lifting height, and walking distance), and constructing a single-container energy consumption calculation model based on potential energy, friction, and standby energy consumption, this invention can accurately calculate the actual power consumption of each container during loading and unloading, overcoming the limitations of the traditional average allocation method.

[0014] Multi-dimensional compensation mechanism: By combining environmental compensation factors (such as wind speed and temperature), the energy consumption calculation results are further corrected, taking into account the impact of external factors on the energy consumption of bridge cranes, thus improving the comprehensiveness and reliability of the calculation results.

[0015] Health diagnosis and maintenance optimization: Based on energy consumption values, a health diagnosis report for the bridge crane is generated. Through the energy efficiency health index and graded maintenance triggering mechanism, potential faults can be detected in a timely manner and corresponding maintenance measures can be taken, which effectively reduces the risk of unplanned downtime, extends the service life of the bridge crane, and optimizes maintenance costs.

[0016] Dynamic model optimization: By utilizing historical operation datasets and residual optimization algorithms, the friction coefficient and transmission efficiency in the model are dynamically adjusted to ensure that the model is continuously optimized as the working state of the bridge crane changes, thereby improving the adaptability and accuracy of energy consumption calculation. Attached Figure Description

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] Figure 1 This is a schematic flowchart illustrating a method according to an embodiment of the present invention. Detailed Implementation

[0019] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the specific embodiments. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0020] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

[0021] Figure 1 This is a schematic flowchart illustrating a method for calculating the energy consumption of a single-unit bridge crane provided by the present invention. The order of steps in this flowchart can be changed, and some steps can be omitted, depending on different requirements.

[0022] like Figure 1 As shown, the method includes: S1. Real-time acquisition of bridge crane operation datasets through multi-source sensors; S2. Input the collected operation data into the pre-trained single-box energy consumption calculation model and output the initial value of electrical energy consumed by a single box of the suspension bridge. S3. The pre-stored environmental compensation algorithm calibrates the initial value of the electrical energy consumed by a single box; S4. Generate a bridge crane health diagnosis report based on the calibrated single-box power consumption value, and trigger a graded maintenance instruction.

[0023] To facilitate understanding of the present invention, the following description further illustrates the single-box energy consumption calculation method for bridge cranes provided by the present invention, based on the principle of the single-box energy consumption calculation method for bridge cranes in the present invention and in conjunction with the process of calculating the single-box energy consumption of bridge cranes in the embodiments.

[0024] First, step S1 includes: S1.1 The weight of the container is collected in real time by weighing sensors installed on the gantry crane. ; S1.2 Measure the lifting height of the main trolley using the configured laser rangefinder. Lifting height of the auxiliary trolley And according to the lifting height of the main trolley Lifting height of the auxiliary trolley Calculate the total lifting height. ; S1.3 Record walking distance using the configured encoder. ; S1.4, Load the pre-stored self-weight of the main trolley and auxiliary trolley from the gantry crane database. ; S1.5 Record invalid waiting time using the configured timer. .

[0025] Specifically, resistance strain gauge load cells (model: HBMPW15) are installed at the tension points of the wire rope of the bridge crane spreader, with a measuring range of 0-60 tons and an accuracy of ±0.5%. When the spreader locks the container, the sensor measures the wire rope tension value F (unit: kN) in real time. Calculate the weight using the formula: ;in, The weight of the spreader is 4.2 tons for a 20-foot spreader and 5.6 tons for a 40-foot spreader.

[0026] Main trolley laser rangefinder (SICK DL1000, range 0-50m, accuracy ±1cm), auxiliary trolley laser rangefinder (same model); installation position: vertically downward on the trolley platform.

[0027] Main trolley height The distance from the ship's deck to the main trolley platform, and the height of the auxiliary trolley. The distance from the transfer platform to the ground, total height .

[0028] The encoder is an incremental rotary encoder (HEIDENHAIN ECN413, resolution 0.001m), mounted on the bearing of the trolley's traveling wheel; horizontal travel distance... ;in, For single-step displacement, vertical component filtering: when the tilt sensor is greater than 5°, only the horizontal projection component is taken.

[0029] Weight calculation: Total weight ;in, The weight of the main vehicle; The weight of the auxiliary trolley; This refers to the weight of the lifting device itself.

[0030] Invalid waiting time records include start and end timing. Start timing: 10 seconds after the container leaves the work position; End timing: the next container arrives at the work position. An industrial timer (OMRON H5CX-A, accuracy ±0.01s) is used, with trigger signal sources: spreader position sensor + container photoelectric sensor.

[0031] Secondly, the single-box energy consumption calculation model in step S2 is as follows: ; in, Let be the electrical energy consumed by the i-th container during the loading and unloading process by the gantry crane; For the first The potential energy term of a container; For the first Friction items per container; For the first Standby power consumption per container; This refers to the theoretical rated speed of the hoisting mechanism in the bridge crane; This refers to the transmission efficiency coefficient. The coefficient of friction of the track; This is the standby power factor; Total power consumption of the quay crane in 1 hour; This refers to the spreader mode coefficient; For the vehicle system coefficients; The total energy consumption intensity of n samples within 1 hour.

[0032] Theoretical rated speed of hoisting mechanism Determined by the design and manufacturing documents of the gantry crane, this is the ideal lifting speed of the crane's hoisting mechanism under design conditions, without considering actual losses such as load and friction. It can be directly obtained from the technical specifications and manufacturer's manual of the gantry crane equipment. For example, for a certain model of gantry crane, the theoretical rated speed design value of its hoisting mechanism is 40 m / min, a value clearly stated by the manufacturer upon equipment delivery.

[0033] The transmission efficiency coefficient η reflects the effectiveness of energy transmission in the crane hoisting mechanism's transmission system (including components such as motors, reducers, and couplings). It is determined through efficiency testing of the crane's transmission system. The testing method involves measuring the power at the transmission system's input end under different operating conditions, including no-load and rated load. and output power According to the formula The transmission efficiency coefficient η of the bridge crane is calculated by taking the average value of multiple tests. For example, if a bridge crane is tested to have an input power of 100kW and an output power of 85kW under rated load, then... .

[0034] The coefficient of friction f (f) describes the frictional characteristics between the crane's running track and related moving parts (such as trolley wheels). An experimental testing method is used. Several representative test areas are selected on the actual running track of the crane. A tension sensor is used to measure the tension F required to make the trolley and other components move at a constant speed along the track. This force is then combined with the total weight W of the moving parts and the load, based on… The track friction coefficient f is calculated by averaging multiple test results. Assuming the test involves a uniform motion of the trolley with a pulling force of 500N and a total weight of 10000N for the moving parts and load, then... .

[0035] The standby power factor k characterizes the power characteristics of the bridge crane when it is in standby mode (the equipment is powered on but not performing loading or unloading operations, only maintaining the basic control system and some standby equipment). Power data is continuously collected during the bridge crane's standby period using power monitoring equipment, and the average standby power over a period of time (e.g., 1 hour) is statistically analyzed. In addition, considering the rated power of the bridge crane ,in accordance with Calculation. If the rated power of the bridge crane is 500kW and the measured average standby power is 10kW, then... .

[0036] Total power consumption of the quay crane in 1 hour The energy consumption data is obtained through a metering device (such as a smart meter) installed in the main power supply circuit of the quay crane. This device monitors and records energy consumption data in real time, directly reading the total energy consumption of the quay crane within a one-hour cycle. For example, the energy metering device displays the total energy consumption of the quay crane during a certain period. .

[0037] Spreader mode coefficient The energy consumption is determined based on the type and operating mode of the lifting equipment used by the bridge crane. Different lifting equipment (such as ordinary single-box lifting equipment, double-box lifting equipment, rotatable lifting equipment, etc.) have different impacts on energy consumption due to differences in structure and operation methods. Through comparative testing, the ordinary single-box lifting equipment is used as the benchmark. Test the energy consumption changes of other spreaders under the same operating conditions to determine the corresponding coefficients. If the energy consumption of a double-box spreader is 20% higher than that of a regular single-box spreader, then its... .

[0038] Car system coefficients This study aims to demonstrate the impact of the characteristics of the gantry crane system (including the gantry body, drive unit, suspension mechanism, etc.) on energy consumption. Considering factors such as the gantry's operating speed, acceleration, and load distribution, the study analyzes the energy consumption variation patterns by changing the gantry's operating parameters through simulation or actual testing, and then determines the appropriate coefficients. For example, energy consumption increases when the gantry operates at high speeds; the corresponding high-speed operating conditions are determined through testing. .

[0039] 1. Potential energy term Physical meaning: Characterizes the energy consumption related to the potential energy change of the lifting action due to the lifting height and weight of the container, under ideal transmission efficiency and rated speed.

[0040] Calculation logic: Calculate the lifting height of the i-th container. ,weight Substitute the values ​​and combine them with the theoretical rated speed of the hoisting mechanism. Transmission efficiency coefficient Calculate according to the formula. For example, , , , Then the potential energy term is (Units are converted to the International System of Units (SI). The final result should be converted to electrical energy units as needed, such as...) ), calculated .

[0041] 2. Friction term: Physical significance: It reflects the energy consumption required for the track friction to overcome the weight of the container and the additional weight of the spreader when the gantry crane is running.

[0042] Computational logic The track friction coefficient f and the trolley travel distance are calculated as follows: Container weight Substitute the additional weight of the lifting gear into the calculation. Assuming , , , Then the friction term is .

[0043] 3. Standby power consumption : Physical meaning: Reflects the electrical energy consumed by the crane in standby mode during the operation of the i-th container.

[0044] Calculation logic: Multiply the standby power coefficient k by the standby time. .like If the rated power of the bridge crane is 500kW, then the standby power is... , Standby power consumption is .

[0045] Sum the potential energy, friction, and standby energy consumption terms of the i-th container obtained above, and then divide by the total energy consumption intensity of n samples within one hour. Finally, multiply by the total power consumption of the quay crane in one hour. Lifting mode coefficient Car system coefficients Right now: For example, within 1 hour there are For each container operation sample, the calculated (potential energy term + friction term + standby energy consumption term) are as follows: , , , , Then the total energy intensity is .like , , The potential energy term + friction term + standby energy consumption term of a certain container (i) is: Then its single-box energy consumption .

[0046] The model breaks down the energy consumption of loading and unloading a single container by a gantry crane into potential energy, friction, and standby energy consumption. It takes into account the impact of different operational stages and factors such as container lifting height and weight, rail friction, and standby status on energy consumption. This allows for a more detailed and accurate quantification of the electrical energy consumed by each container during loading and unloading, providing an accurate data foundation for subsequent energy efficiency analysis and cost accounting.

[0047] The calculation incorporates the crane's own performance parameters, such as the theoretical rated speed of the hoisting mechanism, transmission efficiency coefficient, rail friction coefficient, and standby power coefficient, as well as operation configuration-related parameters such as the spreader mode coefficient and trolley system coefficient. It also combines the total power consumption of the quay crane in one hour and the total energy consumption intensity of the sample in one hour for calculation. This comprehensive approach integrates multiple dimensions of factors, including crane equipment performance, operation configuration, and overall energy consumption distribution, making the single-container energy consumption calculation more consistent with actual operation scenarios and improving the rationality and reliability of the calculation results.

[0048] Next, step S3 includes: S3.1 Calculate the environmental compensation factor: ; in, The instantaneous wind speed in the crane's operating environment; The air temperature at the work site; S3.2, Compensation for final output energy consumption: .

[0049] Instantaneous wind speed Wind speed sensors (such as ultrasonic anemometers and hot-wire anemometers) are installed in the crane operation area (e.g., on the crane beam, at ground monitoring stations, etc.) to monitor ambient airflow speed in real time. The sensors must meet the protection level required for the crane operation environment (e.g., IP65 dustproof and waterproof) to ensure stable operation under port conditions such as high temperature, humidity, and salt spray. The sensors collect wind speed data at a set frequency (e.g., once per second), and the average wind speed during the i-th container loading / unloading operation period is taken as the data. For example, if the operation lasts for 5 minutes (300 seconds), the arithmetic mean of 300 collected values ​​is calculated to obtain the instantaneous wind speed during that period.

[0050] air temperature Temperature sensors (such as thermocouples and thermistors) should be installed in the crane operator's cab and work platform to monitor ambient temperature in real time. The sensors must be calibrated to ensure accuracy (error ≤ ±0.5℃) and protected from direct sunlight and equipment heat dissipation. Temperature data should be collected synchronously with wind speed, and the average temperature during the operating period should be used as the baseline. For example, taking a 5-minute operation time as an example, the average of 300 temperature collection values ​​is calculated as the ambient temperature during the operation of the container.

[0051] Finally, step S4 includes: S4.1 Calculate the Energy Efficiency Health Index : ; in, This represents the actual electrical energy consumption of a single container during operation. The pre-stored reference transmission efficiency; To determine the direction function of efficiency deviation; S4.2, Hierarchical maintenance triggering mechanism: when If a motor winding fault is detected, the machine should be stopped immediately. when If wear is detected, the reducer should be stopped within 24 hours. when When the crane is in normal working condition, it is determined to be in normal working condition and is continuously monitored.

[0052] In addition, the method also includes optimizing the parameters of the single-box energy consumption calculation model: Collect M sets of job records and construct an optimized dataset; Define residual function : ; in, For the first The potential energy term of a container; For the first Friction items per container; For the first Standby power consumption per container; For sample index; The total number of samples; Let m be the measured electrical energy consumption of the m-th container; Solving for the optimal friction coefficient f and transmission efficiency η based on the residual function: ; in, For optimal transmission efficiency; The optimal friction coefficient; To optimize the solver.

[0053] Furthermore, optimizing the parameters of the single-container energy consumption calculation model also includes: The model parameters are updated based on the optimized friction coefficient f and transmission efficiency η: ; in, To improve transmission efficiency; The current transmission efficiency; The updated coefficient of friction; The current coefficient of friction; The learning rate; The gradient in the direction of transmission efficiency η; The gradient in the direction of the friction coefficient f.

[0054] This invention constructs an optimized dataset by collecting M sets of operation records. It then uses a residual function combined with measured electrical energy values ​​to optimize the friction coefficient *f* and transmission efficiency *η*. The residual function, based on the deviation between measured and calculated values, accurately captures the differences between the model and actual operation. The optimized friction coefficient *f* and transmission efficiency *η* make the single-box energy consumption calculation model more closely reflect the actual energy consumption of the bridge crane during operation, significantly reducing calculation errors and making the single-box energy consumption calculation results more accurate. This provides a reliable data foundation for subsequent energy efficiency assessments and maintenance decisions.

[0055] During long-term operation, the transmission system of a gantry crane experiences gradual changes in friction coefficient and transmission efficiency due to wear, aging, and other factors. This technology updates model parameters based on optimized parameters using an update formula with a learning rate and gradient, enabling the model to adapt to dynamic changes in the crane's condition. Whether it's a gradual change in transmission efficiency or alterations in friction coefficient due to wear on tracks and components, the model continuously optimizes its parameters, maintaining a high degree of consistency with the actual equipment and ensuring accurate calculations of single-unit energy consumption under different time periods and equipment conditions.

[0056] The accuracy of single-unit energy consumption calculation directly impacts the calculation of the Energy Efficiency Health Index (EH) and the judgment of the graded maintenance trigger mechanism. More accurate single-unit energy consumption data allows the EH to more accurately reflect the health status of the gantry crane, making the graded maintenance trigger mechanism more scientific and timely in determining issues such as motor winding faults and reducer wear. This avoids maintenance decision errors caused by energy consumption calculation errors, such as missed faults leading to accelerated equipment damage, or misjudging normal conditions and performing unnecessary shutdowns for maintenance, thereby ensuring the safety and economy of gantry crane operation.

[0057] The present invention also provides a computer storage medium, wherein the computer storage medium may store a program, which, when executed, may include some or all of the steps provided in the embodiments of the present invention. The storage medium may be a magnetic disk, an optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0058] Those skilled in the art will clearly understand that the techniques in the embodiments of the present invention can be implemented using software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solutions in the embodiments of the present invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium such as a USB flash drive, mobile hard drive, read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk, or other media capable of storing program code. It includes several instructions to cause a computer terminal (which may be a personal computer, server, or a second terminal, network terminal, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention.

[0059] Although the present invention has been described in detail with reference to the accompanying drawings and preferred embodiments, the present invention is not limited thereto. Various equivalent modifications or substitutions can be made to the embodiments of the present invention by those skilled in the art without departing from the spirit and essence of the invention, and such modifications or substitutions should all be within the scope of the present invention. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should also be covered within the protection scope of the present invention.

Claims

1. A method for calculating the energy consumption of a single unit of a bridge crane, characterized in that, include: S1. Real-time acquisition of bridge crane operation datasets through multi-source sensors; S2. Input the collected operation data into the pre-trained single-box energy consumption calculation model and output the initial value of electrical energy consumed by a single box of the suspension bridge. S3. The pre-stored environmental compensation algorithm calibrates the initial value of the electrical energy consumed by a single box; S4. Generate a bridge crane health diagnosis report based on the calibrated single-box power consumption value, and trigger a graded maintenance instruction.

2. The method for calculating the energy consumption of a single gantry crane according to claim 1, characterized in that, Step S1 includes: S1.1 The weight of the container is collected in real time by weighing sensors installed on the gantry crane. ; S1.2 Measure the lifting height of the main trolley using the configured laser rangefinder. Lifting height of the auxiliary trolley And according to the lifting height of the main trolley Lifting height of the auxiliary trolley Calculate the total lifting height. ; S1.3 Record walking distance using the configured encoder. ; S1.4, Load the pre-stored self-weight of the main trolley and auxiliary trolley from the gantry crane database. ; S1.5 Record invalid waiting time using the configured timer. .

3. The method for calculating the energy consumption of a single gantry crane according to claim 2, characterized in that, The single-box energy consumption calculation model in step S2 is as follows: ； in, Let be the electrical energy consumed by the i-th container during the loading and unloading process by the gantry crane; For the first The potential energy term of a container; For the first Friction items per container; For the first Standby power consumption per container; This refers to the theoretical rated speed of the hoisting mechanism in the bridge crane; This refers to the transmission efficiency coefficient. The coefficient of friction of the track; This is the standby power factor; Total power consumption of the quay crane in 1 hour; This refers to the spreader mode coefficient; For the vehicle system coefficients; The total energy consumption intensity of n samples within 1 hour.

4. The method for calculating the energy consumption of a single gantry crane according to claim 3, characterized in that, Step S3 includes: S3.1 Calculate the environmental compensation factor: ； in, The instantaneous wind speed in the crane's operating environment; The air temperature at the work site; S3.2, Compensation for final output energy consumption: 。 5. The method for calculating the energy consumption of a single gantry crane according to claim 4, characterized in that, Step S4 includes: S4.1 Calculate the Energy Efficiency Health Index : ； in, This represents the actual electrical energy consumption of a single container during operation. The pre-stored reference transmission efficiency; To determine the direction function of efficiency deviation; S4.2, Hierarchical maintenance triggering mechanism: when If a motor winding fault is detected, the machine should be stopped immediately. when If wear is detected, the reducer should be stopped within 24 hours. when When the crane is in normal working condition, it is determined to be in normal working condition and is continuously monitored.

6. The method for calculating the energy consumption of a single gantry crane according to claim 3, characterized in that, It also includes parameters for optimizing the single-box energy consumption calculation model: Collect M sets of job records and construct an optimized dataset; Define residual function : ； in, For the first The potential energy term of a container; For the first Friction items per container; For the first Standby power consumption per container; For sample index; The total number of samples; Let m be the measured electrical energy consumption of the m-th container; Solving for the optimal friction coefficient f and transmission efficiency η based on the residual function: ； in, For optimal transmission efficiency; The optimal friction coefficient; To optimize the solver.

7. The method for calculating the energy consumption of a single gantry crane according to claim 6, characterized in that, Optimizing the parameters of the single-box energy consumption calculation model also includes: The model parameters are updated based on the optimized friction coefficient f and transmission efficiency η: ； in, To improve transmission efficiency; The current transmission efficiency; The updated coefficient of friction; The current coefficient of friction; The learning rate; The gradient in the direction of transmission efficiency η; The gradient in the direction of the friction coefficient f.

8. A computer-readable storage medium storing a computer program, characterized in that, When the program is executed by the processor, it implements the method as described in any one of claims 1-7.

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