Emergency power supply priority determination method and system based on multi-elevator shared energy storage

Abstract

This invention provides a method and system for determining emergency power supply priority based on a shared energy storage device for multiple elevators, relating to the field of power supply control technology. The method includes: acquiring emergency operating parameters for each elevator; determining the minimum energy consumption requirement of each elevator using a unified power model under bidirectional energy conditions; using the remaining power of the shared energy storage device as a state variable to establish Hamiltonian values ​​when connecting different elevators to the shared energy storage device at different power supply stages; selecting the elevator with the minimum Hamiltonian value as a candidate elevator at each power supply stage, and arranging the candidate elevators according to the power supply stage to obtain an emergency power supply sequence; calculating the energy margin of the shared energy storage device at each power supply stage; establishing an energy margin lower bound inequality based on the Cauchy inequality, and supplying power to each elevator sequentially according to the emergency power supply sequence based on the magnitude of the shared energy storage device's energy margin. This maximizes the number of elevators that can be powered while avoiding secondary interruptions caused by premature depletion of energy storage.

Description

Technical Field

[0001] This invention relates to the field of power supply control technology, and in particular to a method and system for determining emergency power supply priority based on a shared energy storage device for multiple elevators. Background Technology

[0002] A shared energy storage system for multiple elevators refers to a solution where a centralized energy storage device (such as a battery or flywheel energy storage unit) provides backup power to multiple elevators in a building or multiple elevator systems. Unlike equipping each elevator with its own energy storage device, this method can reduce costs, save space, and centrally manage energy distribution, achieving efficient emergency power supply.

[0003] In emergency situations, the process of determining the power supply priority of multiple elevators sharing an energy storage device can, on the one hand, ensure that elevators can operate safely in priority order during emergencies such as fires and power outages, prioritizing service to floors with high population density or rescue passages; on the other hand, it can rationally allocate limited energy storage capacity, avoiding the rapid depletion of energy storage caused by the simultaneous start of all elevators, thereby improving the overall emergency response capability of the building and the safety of personnel evacuation.

[0004] However, existing power supply priorities usually rely on static rules, which cannot make decisions based on dynamic adjustments based on elevator operating parameters, nor do they take into account the continuous changes in the remaining power of the shared energy storage device. This may result in energy waste or premature depletion of the energy storage device, increasing the risk of secondary power outages to the elevator. Summary of the Invention

[0005] To address the technical problem that existing power supply priorities typically rely on static rules, cannot be dynamically adjusted based on elevator operating parameters, and do not consider the continuous changes in the remaining power of the shared energy storage device, which may lead to energy waste or premature depletion of the energy storage device and increase the risk of secondary power outages in elevators, this invention provides a method and system for determining emergency power supply priorities based on a shared energy storage device for multiple elevators.

[0006] The technical solutions provided by the embodiments of the present invention are as follows:

[0007] First aspect

[0008] This invention provides a method for determining emergency power supply priority based on a shared energy storage device for multiple elevators. The method is applied to an emergency power supply architecture including a shared energy storage device, an elevator control center, and multiple elevators, wherein each elevator is connected to the shared energy storage device through the elevator control center. The method includes:

[0009] S1: Obtain emergency operation parameters for each elevator;

[0010] S2: Based on emergency operating parameters, the minimum energy consumption requirement of the elevator is determined using a unified power model under bidirectional energy conditions.

[0011] S3: Use the remaining power of the shared energy storage device as a state variable to establish the Hamiltonian when different elevators and the shared energy storage device are connected at different power supply stages.

[0012] S4: Select the elevator with the smallest Hamiltonian in each power supply stage as a candidate elevator, and arrange the candidate elevators according to the power supply stage to obtain the emergency power supply sequence.

[0013] S5: Based on the emergency power supply sequence, calculate the energy margin of the shared energy storage device in each power supply stage;

[0014] S6: If the energy margin of the shared energy storage is greater than or equal to zero, establish an energy margin lower bound inequality based on Cauchy's inequality and proceed to step S7; otherwise, retain the power supply stage corresponding to the shared energy storage energy margin that is greater than or equal to zero and proceed to step S9.

[0015] S7: Determine whether the energy margin of the shared energy storage device satisfies the lower bound inequality of energy margin. If it does, use the emergency power supply sequence as the power supply priority and supply power to each candidate elevator in sequence. Otherwise, proceed to step S8.

[0016] S8: Filter and retain the power supply stage corresponding to the energy margin of the shared energy storage device that satisfies the energy margin lower bound inequality;

[0017] S9: Power is supplied to the reserved candidate elevators in sequence according to the emergency power supply sequence as the power supply priority.

[0018] Second aspect

[0019] This invention provides an emergency power supply priority determination system based on a shared energy storage device for multiple elevators, comprising:

[0020] processor;

[0021] The memory stores computer-readable instructions, which, when executed by the processor, implement the emergency power supply priority determination method based on a shared energy storage device for multiple elevators as described in the first aspect.

[0022] Third aspect

[0023] The present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the emergency power supply priority determination method based on a shared energy storage device for multiple elevators as described in the first aspect.

[0024] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0025] In this embodiment of the invention, by acquiring the emergency operating parameters of each elevator and establishing a unified power model based on the bidirectional energy conditions of the elevators, the minimum energy consumption requirement of each elevator during the emergency descent process is calculated. Simultaneously, the remaining power of the shared energy storage device is used as a state variable to construct a Hamiltonian to quantify the weighted energy consumption of each elevator when connected to the energy storage device. Selecting the elevator with the smallest Hamiltonian as a candidate in each power supply stage ensures that the energy consumption of the activated elevator in each stage is minimized, thereby optimizing the cumulative energy consumption globally. The strategy of minimizing cumulative energy consumption maximizes the number of elevators that can be powered. An energy margin lower bound inequality based on the Cauchy inequality provides a strict minimum constraint on the energy of the energy storage device in each power supply stage, ensuring that high-priority elevators can continue to supply power even when the energy storage device is continuously discharging and there are power disturbances or load fluctuations, avoiding secondary interruptions caused by premature energy depletion. This achieves stable, safe, and efficient emergency power supply for elevators in emergency situations. Attached Figure Description

[0026] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0027] Figure 1 A flowchart illustrating an emergency power supply priority determination method based on a shared energy storage device for multiple elevators, provided by an embodiment of the present invention;

[0028] Figure 2 This is a schematic diagram of a method for determining the priority of emergency power supply based on a shared energy storage device for multiple elevators, provided in an embodiment of the present invention.

[0029] Figure 3 This is a schematic diagram of an emergency power supply priority determination system based on a shared energy storage device for multiple elevators, provided as an embodiment of the present invention. Detailed Implementation

[0030] The technical solution of the present invention will now be described with reference to the accompanying drawings.

[0031] In embodiments of the present invention, words such as "exemplarily," "for example," etc., are used to indicate that something is an example, illustration, or description. Any embodiment or design described as "exemplary" in the present invention should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of the word "exemplary" is intended to present the concept in a concrete manner. Furthermore, in embodiments of the present invention, the meaning expressed by "and / or" can be both, or either one.

[0032] To make the technical problems, technical solutions and advantages of the present invention clearer, a detailed description will be given below in conjunction with the accompanying drawings and specific embodiments.

[0033] Reference manual attached Figure 1 The diagram shows a flowchart of an emergency power supply priority determination method based on a shared energy storage device for multiple elevators, provided by an embodiment of the present invention.

[0034] Reference manual attached Figure 2 The diagram shows a structural schematic of an emergency power supply priority determination method based on a shared energy storage device for multiple elevators, provided by an embodiment of the present invention.

[0035] This invention provides a method for determining emergency power supply priority based on a shared energy storage device for multiple elevators. The method is applied to an emergency power supply architecture including a shared energy storage device, an elevator control center, and multiple elevators, wherein each elevator is connected to the shared energy storage device through the elevator control center. The method includes:

[0036] S1: Obtain emergency operation parameters for each elevator.

[0037] In one possible implementation, emergency operation parameters are obtained through the elevator control center.

[0038] Emergency operating parameters include the elevator number with passengers, remaining descent distance, total passenger mass, counterweight mass, rated power of the braking electromagnet, power consumption of the control board, rated mechanical efficiency of the motor, rated emergency descent speed, and remaining power in the shared energy storage device.

[0039] The total mass of the elevator car refers to the total weight of all passengers inside the elevator car and the car itself. By obtaining emergency operating parameters through the elevator control center, the load status, remaining operating distance, and energy storage power of each elevator can be monitored in real time and centrally. This provides accurate decision-making data for emergency power supply decisions when multiple elevators share an energy storage device, improves the reliability of power dispatching, and ensures that passenger safety is prioritized and energy storage device utilization efficiency is maximized in emergency situations.

[0040] S2: Based on emergency operating parameters, determine the minimum energy consumption requirement of the elevator using a unified power model under bidirectional energy conditions.

[0041] The unified power model integrates the energy consumption of elevators under different operating conditions, including braking power, control panel power, and mechanical power generated by load and motor efficiency, into a single formula for calculation. It accurately reflects the total power demand of each elevator during emergency descent, considering bidirectional energy operation. The minimum energy consumption requirement for elevators refers to the minimum electrical energy required for each elevator to complete its remaining tasks during emergency descent. It considers factors such as elevator load, counterweight, descent speed, and motor efficiency to ensure optimal energy use under limited power supply conditions.

[0042] By calculating the minimum energy consumption requirement of each elevator using a unified power model, the actual load of the elevator can be combined with the characteristics of its mechanical and electrical control systems to quantify its energy consumption during emergency descent. This accurately reflects the load of each elevator on the shared energy storage unit, allowing priority to be given to elevators with the least impact on the energy storage unit when determining the emergency power supply sequence. By comprehensively considering factors such as load, descent distance, speed, and motor efficiency, optimal energy allocation is achieved, ensuring maximum power supply efficiency with limited energy storage while guaranteeing the safe operation of elevators carrying passengers.

[0043] In one possible implementation, S2 specifically includes:

[0044] S201: By combining the symbolic function, establish a unified power model for emergency operation parameters to determine the total power of each elevator.

[0045] The formula for the unified power model is as follows:

[0046] .

[0047]

[0048] in, This represents the total power of elevator i during its descent at a given speed. This represents the standby power of elevator i. This indicates the rated power of the braking electromagnet of elevator i. This indicates the power consumption of the control board of elevator i. Represents gravitational acceleration. This represents the total passenger mass of elevator i. This represents the mass of the counterweight of elevator i. This indicates the rated emergency descent speed of elevator i. Represents a symbolic function. This indicates the rated mechanical efficiency of the motor of elevator i.

[0049] It should be noted that this unified power model combines the elevator's standby power with the mechanical power generated by the load and counterweight difference, comprehensively considering elevator load, motor efficiency, braking consumption, and control board power consumption to quantify the total energy consumption of the elevator during emergency descent. By using a sign function to distinguish between upward and downward power demands, accurate calculations are achieved under bidirectional energy conditions. This accurately reflects the true load of each elevator on the shared energy storage unit, enabling optimized energy allocation and improved energy storage utilization efficiency.

[0050] S202: Determine the minimum energy consumption requirement of the elevator based on the total power. Specifically, the minimum energy consumption requirement of the elevator is the product of the total power and the elevator descent time. Specifically, the elevator descent time is the quotient of the remaining descent distance of the corresponding elevator and the rated emergency descent speed.

[0051] Specifically, the process first integrates the mechanical power, braking power, and control board power of the elevator in emergency descent into a unified power model using a sign function. By considering factors such as elevator load, counterweight mass, motor efficiency, and emergency descent speed, the total energy consumption of each elevator over its remaining descent distance is calculated. Subsequently, the minimum energy consumption requirement of each elevator is obtained by multiplying the descent time by the total power. This quantifies the estimated load on the shared energy storage device during emergency operation, allowing the system to prioritize the elevator with the lowest energy consumption when multiple elevators are powered simultaneously, ensuring efficient utilization of the energy storage device's power. In this way, the system achieves optimal energy allocation while prioritizing the safe operation of elevators carrying passengers, improving the reliability and efficiency of emergency power supply.

[0052] S3: Using the remaining power of the shared energy storage device as a state variable, establish the Hamiltonian when different elevators and the shared energy storage device are connected at different power supply stages.

[0053] The Hamiltonian describes the weighted energy consumption of the shared energy storage unit when the current elevator is activated. The remaining power of the shared energy storage unit is used as the system state, and the Hamiltonian quantifies the weighted energy consumption of each elevator at different power supply stages. The Hamiltonian comprehensively considers the total elevator power, standby power, and remaining descent distance, enabling the assessment of the impact of different elevator connections on the energy storage unit at each stage. This method allows for accurate comparison of the power supply costs of each elevator, prioritizing the elevator with the lowest energy consumption. It achieves dynamic, staged energy optimization allocation, ensuring efficient utilization of the limited energy storage unit's power while guaranteeing passenger safety and the reliability of multi-elevator collaborative operation.

[0054] In one possible implementation, S3 specifically includes:

[0055] S301: Using the remaining power of the shared energy storage device as the system state, and the candidate elevator numbers of the candidate elevators activated in different stages as switching control variables, establish the state equation of the shared energy storage device for different power supply stages.

[0056] The state equations are as follows:

[0057] .

[0058] in, This represents the rate of change of the amount of electricity in the shared energy storage device with respect to time. This indicates the candidate elevator number activated during power supply phase k. Corresponding to the total power of the elevator, This represents the set of elevators located in the elevator pool at the start of power supply phase k. Indicates that it is located in the non-candidate elevator number elevator collection The standby power of the j-th elevator in the system. Indicates the candidate elevator number The corresponding standby power of the elevator.

[0059] Among them, the set of elevators located in the elevator pool is the set of elevators with a remaining descent distance greater than zero.

[0060] S302: Combine the state equation to establish the Hamiltonian, where the Hamiltonian is positively correlated with the energy consumption rate of the shared energy storage device.

[0061] The specific formula for the Hamiltonian is as follows:

[0062] .

[0063] in, Indicates the activation of the candidate elevator number The total energy consumption of the shared energy storage unit when corresponding to elevators. Indicates and The Hamiltonian related to the k-th power supply stage, Indicates the candidate elevator number The remaining descent distance of the elevator. Indicates the candidate elevator number The corresponding emergency descent rated speed of the elevator.

[0064] Specifically, this process uses the remaining power of the shared energy storage unit as the system state and the candidate elevator number as the switching control variable to establish state equations for each power supply stage, quantifying the rate of change of the energy storage unit's power with the connection of different elevators. Subsequently, using Hamiltonian parameters, the total elevator power, standby power, and remaining descent distance are comprehensively calculated to reflect the weighted energy consumption of each elevator on the energy storage unit in the current stage. By dynamically and systematically evaluating the impact of elevator connection on the energy storage unit, the power supply decision-making is quantified and compared. This allows for the efficient selection of the elevator with the lowest energy consumption for priority power supply, ensuring efficient utilization of the limited energy storage unit's power while guaranteeing the safe operation of elevators carrying passengers and the reliability of multi-elevator collaborative operation, thus improving the overall efficiency of the emergency power supply strategy.

[0065] S4: Select the elevator with the smallest Hamiltonian in each power supply stage as the candidate elevator, and arrange the candidate elevators according to the power supply stage to obtain the emergency power supply sequence.

[0066] In this system, the candidate elevator is the one that consumes the least energy from the shared energy storage unit during the current power supply phase, determined by calculating the Hamiltonian. This elevator is then prioritized for power supply. The emergency power supply sequence is a complete list of candidate elevators arranged sequentially for each power supply phase, indicating the order in which elevators will be powered in an emergency. By selecting the elevator with the smallest Hamiltonian in each phase and arranging them in phase order to form the emergency power supply sequence, the system ensures that the load on the energy storage unit is minimized for each elevator connected. This phased sorting allows the system to dynamically optimize power allocation, enabling the limited power of the energy storage unit to support more elevators in emergency descents. By quantifying the energy consumption impact of each elevator, a priority power supply strategy is implemented, thereby improving power supply efficiency and overall operational safety.

[0067] In one possible implementation, S4 specifically includes:

[0068] S401: Initialize the elevator assembly and power supply phase located in the elevator pool.

[0069] S402: Calculate the total power of the elevator set and the Hamiltonian of each elevator in the elevator set.

[0070] S403: Select the elevator corresponding to the smallest Hamiltonian as the candidate elevator for the current power supply stage, remove the candidate elevator for the current power supply stage from the elevator set, and increment the power supply stage by 1.

[0071] S404: Determine whether the elevator set is empty. If so, arrange the candidate elevators according to the power supply stage to obtain the emergency power supply sequence. Otherwise, return to step S402.

[0072] It should be noted that by calculating the Hamiltonian of each elevator in each power supply phase, the elevator with the lowest energy consumption to the energy storage device is selected as a candidate and arranged in phase order to form a complete emergency power supply sequence. The multi-elevator power supply problem is handled in stages, and by quantifying the load of each elevator on the energy storage device, dynamic and optimized power allocation is achieved. This maximizes the emergency operation capability of elevators under limited energy storage conditions, prioritizes the safety of elevators carrying passengers, and simultaneously improves the efficiency of energy storage device utilization and the reliability of overall power supply scheduling.

[0073] S5: Based on the emergency power supply sequence, calculate the energy margin of the shared energy storage device for each power supply stage.

[0074] The shared energy storage capacity refers to the remaining available power in the energy storage unit at the beginning of each power supply phase, minus the total energy consumption required for elevator operation in the current and previous phases. It reflects the safe and sufficient power reserve that the energy storage unit can maintain during the execution of emergency power supply sequences.

[0075] In one possible implementation, S5 specifically includes:

[0076] S501: Calculate the total energy consumption of the elevator in each power supply stage of the emergency power supply sequence.

[0077] .

[0078] .

[0079] in, This represents the total energy consumption of the elevator during power supply phase k. This represents the candidate elevator number corresponding to power supply stage k in the emergency power supply sequence. The corresponding total energy consumption of the elevator, This represents the total standby power of non-candidate elevators at the start of power supply phase k. This represents the standby power of the candidate elevator during power supply phase k. Indicates the candidate elevator number The corresponding estimated running time of the elevator, Indicates the candidate elevator number The corresponding remaining descent distance of the elevator. Indicates the candidate elevator number The corresponding emergency descent rated speed of the elevator.

[0080] S502: Based on the total energy consumption of the elevator, calculate the energy margin of the shared energy storage device for each power supply stage.

[0081] The specific formula for calculating the energy margin of a shared energy storage device is as follows:

[0082] .

[0083] in, This represents the shared energy margin at the start of the k-th power supply phase. This indicates the amount of electricity stored in the shared energy storage device. This represents the total energy consumption of the elevator during the j-th power supply phase. This represents the total energy consumption of the elevator over k-1 power supply stages.

[0084] Specifically, this process calculates the total energy consumption of the elevators in each power supply phase based on the generated emergency power supply sequence, and determines the energy margin of the shared energy storage device in each phase. By subtracting the actual energy consumed by the elevators in the current and previous phases from the initial energy of the energy storage device, the remaining available energy of the energy storage device in each phase is quantified, reflecting its safety margin. This dynamically assesses whether the energy storage device can support the operation of subsequent elevators, ensuring priority protection for critical elevators during multi-elevator emergency descents, while simultaneously achieving efficient utilization of the limited energy of the energy storage device, improving the reliability of emergency power supply scheduling and overall operational efficiency.

[0085] S6: If the energy margin of the shared energy storage is greater than or equal to zero, establish an energy margin lower bound inequality based on Cauchy's inequality and proceed to step S7; otherwise, retain the power supply stage corresponding to the shared energy storage energy margin that is greater than or equal to zero and proceed to step S9.

[0086] The Cauchy inequality is a mathematical inequality used to compare the relationship between the dot product of vectors and the magnitudes of the vectors. Here, it is used to construct constraints on the relationship between elevator energy consumption and the remaining power of the energy storage device. The energy margin lower bound inequality is a constraint established using the Cauchy inequality to ensure that the remaining power of the energy storage device does not fall below a safe lower limit throughout the entire emergency power supply sequence, thus guaranteeing stable power supply at each stage. By determining the energy margin of the energy storage device and establishing a lower bound constraint based on the Cauchy inequality, the minimum available power of the energy storage device can be predicted and controlled throughout the entire emergency power supply process. This method uses mathematical inequalities to perform weighted comparisons of energy consumption at each stage, ensuring that even under the most unfavorable conditions, the energy storage device still has sufficient power to support power supply. This allows for dynamic optimization of the power supply sequence, improving the utilization efficiency of the energy storage device, while ensuring elevator operation safety and realizing a reliable multi-elevator emergency power supply strategy.

[0087] In one possible implementation, the energy margin lower bound inequality is specifically formulated as follows:

[0088] .

[0089] in, This represents the shared energy margin at the start of the k-th power supply phase. Let represent the total energy consumption of the elevator in the j-th power supply stage, and n represent the total number of power supply stages, which is the same as the total number of elevators. This represents the total standby power of non-candidate elevators at the start of power supply phase k. This represents the total standby power of non-candidate elevators at the start of power supply phase j.

[0090] This energy margin lower bound inequality utilizes the principle of Cauchy's inequality, treating the energy consumption of each elevator stage and the standby power of non-candidate elevators as vectors. A lower bound constraint on the remaining power of the energy storage device is constructed through the relationship between the vector inner product and the magnitude. The weighted sum of squares of energy consumption at each stage is linked to the overall energy consumption, thus ensuring that the energy storage device maintains sufficient power even under the most unfavorable load distribution throughout the entire power supply sequence. This enables global optimization control, dynamically allocating energy storage device power, improving the safety and efficiency of emergency power supply for multiple elevators, while ensuring priority is given to elevators carrying passengers.

[0091] It should be noted that this energy margin lower bound inequality is formed by weighting the total energy consumption of the elevators in each power supply stage with the standby power of non-candidate elevators to create the minimum safe threshold for the remaining power of the energy storage device. Considering the cumulative effect of energy consumption in each stage of the entire emergency power supply sequence, this ensures that the energy storage device can maintain sufficient power to support subsequent elevator operation even under the most unfavorable load distribution. This allows for early identification of potential power shortage risks, avoids secondary interruptions during the power supply process, achieves dynamic safety control throughout the sequence, and optimizes the power distribution of the energy storage device, thereby improving the reliability and efficiency of multi-elevator emergency power supply.

[0092] Specifically, the process of deriving the lower bound inequality of the energy margin based on Cauchy's inequality is as follows: First, clarify the prior known conditions, namely, in the current verification of the k-th power supply stage, there are a total of n elevators waiting to be powered, and the remaining stages are within the range of... Known quantities for each remaining stage j: actual total energy consumption. Total standby power of the j-stage power supply collection The total standby power in the current k stage , No. The energy margin, i.e., the energy reserve of the shared energy storage unit, has already been calculated for this stage. The goal of establishing the inequality is to ensure that all remaining power supply stages starting from k can be completed, i.e., the total remaining energy consumption does not exceed the remaining energy reserve. For Cauchy's inequality, we have: for any two sets of real numbers... There is a formula This holds true. Therefore, the derivation process requires constructing a matching Cauchy inequality. This allows us to refine the data and obtain the required lower bound. To split, we get ,in, , Substituting it into Cauchy's inequality, Based on the target conditions, the remaining total energy consumption should not exceed the remaining power margin. ,as well as , Scaling the above formula, we get: Align and move items accordingly. Simplifying to the left side yields the inequality for the lower bound of the energy margin.

[0093] By applying Cauchy's inequality, the total energy consumption of elevators in each power supply stage and the standby power of non-candidate elevators are treated as two vectors. Using the relationship between the dot product and the magnitude of these vectors, the minimum lower bound of the remaining power in the energy storage device is derived. The cumulative energy consumption effect between stages and the power consumption differences among different elevators are systematically quantified, ensuring that the lower bound of the energy margin strictly reflects the available power of the energy storage device under the most unfavorable load distribution. This provides a global safety constraint, ensuring that there will be no energy storage shortage in any stage of the power supply sequence, thereby achieving dynamic optimization allocation and improving the safety, stability, and energy storage utilization efficiency of multi-elevator emergency power supply. Based on the strict upper bound of the weighted sum guaranteed by Cauchy's inequality, the management of shared energy storage devices becomes predictable and stable. Using this mathematical constraint, potential power shortage risks can be identified in advance, ensuring that even under the most unfavorable load distribution, the energy storage device still has sufficient power to support subsequent elevator operation. Global optimization control is achieved, enabling the efficient allocation of limited energy storage device power while prioritizing passenger elevators, thus improving the reliability and safety of multi-elevator emergency power supply.

[0094] S7: Determine whether the energy margin of the shared energy storage device satisfies the lower bound inequality of energy margin. If it does, use the emergency power supply sequence as the power supply priority and supply power to each candidate elevator in sequence. Otherwise, proceed to step S8.

[0095] It should be noted that the feasibility of the current emergency power supply sequence is determined by comparing the energy margin of the energy storage device at each power supply stage with the established lower bound constraint. If the lower bound condition is met, it means that the energy storage device can provide sufficient power to support elevator operation throughout the entire sequence, and therefore, the candidate elevators can be powered directly according to this sequence. This process uses mathematical constraints to ensure that the safety margin of the energy storage device is met, thereby achieving optimal scheduling under limited power.

[0096] S8: Filter and retain the power supply stage corresponding to the energy margin of the shared energy storage that satisfies the lower bound inequality of energy margin.

[0097] It should be noted that the original emergency power supply sequence was filtered, retaining only those stages where the energy margin of the energy storage device met the lower bound constraint, thus forming a new feasible power supply sequence. By eliminating stages that might lead to insufficient energy storage, it ensures that subsequent power supply processes will not experience power shortages or safety risks. Even if the energy storage device's capacity is limited, the power supply sequence and selection can be dynamically adjusted to ensure that limited power is efficiently and safely allocated to the most critical elevators, prioritizing the operation of elevators carrying passengers, while improving the overall reliability of emergency power supply.

[0098] S9: Power is supplied to the reserved candidate elevators in sequence according to the emergency power supply sequence as the power supply priority.

[0099] In one possible implementation, after S9, the following is also included:

[0100] Issue warnings for the remaining candidate elevators.

[0101] In practical applications, the entire emergency power supply priority determination process based on a shared energy storage device for multiple elevators first involves the elevator control center acquiring real-time operating parameters for each elevator, including load status, remaining descent distance, motor efficiency, and energy storage device capacity, providing accurate data for subsequent power calculations. Then, a unified power model is used to integrate the elevator's mechanical power, braking power, and control board power consumption, quantifying the minimum energy consumption requirement of each elevator during emergency descent, thus reflecting its actual load on the shared energy storage device. The system uses the remaining energy storage device capacity as a state variable, combining Hamiltonian calculations to evaluate the weighted energy consumption of different elevators at each power supply stage, forming candidate elevators and arranging them in stage order to generate an emergency power supply sequence. Based on this sequence, the energy margin of the energy storage device at each stage is calculated, and the lower bound of the energy margin is derived using Cauchy's inequality, establishing a global safety constraint to ensure that the energy storage device can still support the operation of subsequent elevators under the most unfavorable load conditions. Finally, feasible stages are selected based on the lower bound constraint, power is supplied to the candidate elevators sequentially, and warnings are issued to the remaining elevators. This enables efficient utilization of the energy stored in the energy storage device, while prioritizing the safety of elevators with passengers, and improving the reliability, stability, and efficiency of emergency power supply for multiple elevators.

[0102] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0103] In this embodiment of the invention, by acquiring the emergency operating parameters of each elevator and establishing a unified power model based on the bidirectional energy conditions of the elevators, the minimum energy consumption requirement of each elevator during the emergency descent process is calculated. Simultaneously, the remaining power of the shared energy storage device is used as a state variable to construct a Hamiltonian to quantify the weighted energy consumption of each elevator when connected to the energy storage device. Selecting the elevator with the smallest Hamiltonian as a candidate in each power supply stage ensures that the energy consumption of the activated elevator in each stage is minimized, thereby optimizing the cumulative energy consumption globally. The strategy of minimizing cumulative energy consumption maximizes the number of elevators that can be powered. An energy margin lower bound inequality based on the Cauchy inequality provides a strict minimum constraint on the energy of the energy storage device in each power supply stage, ensuring that high-priority elevators can continue to supply power even when the energy storage device is continuously discharging and there are power disturbances or load fluctuations, avoiding secondary interruptions caused by premature energy depletion. This achieves stable, safe, and efficient emergency power supply for elevators in emergency situations.

[0104] Reference manual attached Figure 3 The diagram shows a structural schematic of an emergency power supply priority determination system based on a shared energy storage device for multiple elevators provided by the present invention.

[0105] The present invention also provides an emergency power supply priority determination system 20 based on a shared energy storage device for multiple elevators, applied to the above-mentioned emergency power supply priority determination method based on a shared energy storage device for multiple elevators, including:

[0106] Processor 201.

[0107] The memory 202 stores computer-readable instructions. When the computer-readable instructions are executed by the processor 201, they implement the emergency power supply priority determination method based on a shared energy storage device for multiple elevators, as described in the method embodiment.

[0108] The emergency power supply priority determination system 20 based on a shared energy storage device for multiple elevators provided by this invention can execute the above-mentioned emergency power supply priority determination method based on a shared energy storage device for multiple elevators and achieve the same or similar technical effects. To avoid duplication, this invention will not elaborate further.

[0109] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0110] In this embodiment of the invention, an anomaly score of network transmission data is determined based on a sparse reconstruction algorithm. When the anomaly score of the network transmission data is greater than a preset anomaly score, the anomaly category of the network transmission data is accurately determined based on the K-nearest neighbor algorithm. This approach can handle network anomaly behavior detection in any scenario, adapt to the evolution of security threats, and improve the adaptability and scalability of network anomaly behavior analysis. Combining the sparse reconstruction algorithm with the K-nearest neighbor algorithm ensures that anomaly identification is only performed when the anomaly score of the network transmission data is greater than the preset anomaly score, saving computational resources. Furthermore, the K-nearest neighbor algorithm enables rapid and accurate identification of anomaly behaviors, improving the accuracy of anomaly behavior detection. Once the anomaly category of the network transmission data is determined, the system can automatically perform corresponding bypass blocking according to preset rules. This automated response capability allows the system to quickly and effectively handle anomalies, reducing the need for manual intervention and improving security and efficiency. Compared with traditional rule-based detection methods, the bypass blocking system combining the sparse reconstruction algorithm and the K-nearest neighbor algorithm provides more multi-layered and multi-dimensional network security protection, exhibiting better comprehensiveness and accuracy in capturing and processing network anomalies.

[0111] It should be understood that the processor in the embodiments of the present invention can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0112] It should also be understood that the memory in the embodiments of the present invention can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of random access memory (RAM) are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate synchronous DRAM (DDR SDRAM), enhanced synchronous DRAM (ESDRAM), synchronous linked DRAM (SLDRAM), and direct rambus RAM (DR RAM).

[0113] The above embodiments can be implemented, in whole or in part, by software, hardware (such as circuits), firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of the present invention are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.

[0114] It should be understood that the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. A and B can be singular or plural. Additionally, the character " / " in this article generally indicates an "or" relationship between the preceding and following related objects, but it can also represent an "and / or" relationship. Please refer to the context for a more accurate understanding.

[0115] In this invention, "at least one" means one or more, and "more than one" means two or more. "At least one of the following" or similar expressions refer to any combination of these items, including any combination of a single item or a plurality of items. For example, at least one of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, and c can be a single item or multiple items.

[0116] It should be understood that, in various embodiments of the present invention, the sequence number of each process does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0117] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0118] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, apparatuses, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0119] In the several embodiments provided by this invention, it should be understood that the disclosed devices, apparatuses, and methods 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 device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0120] 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.

[0121] In addition, the functional units in the various embodiments of the present invention 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.

[0122] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium 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 described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0123] This invention provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the emergency power supply priority determination method based on a shared energy storage device for multiple elevators as described in the method embodiment.

[0124] The present invention provides a computer-readable storage medium that can implement the steps and effects of the emergency power supply priority determination method based on a shared energy storage device for multiple elevators as described in the above method embodiments. To avoid repetition, the present invention will not elaborate further.

[0125] The beneficial effects of the technical solutions provided in the embodiments of the present invention include at least the following:

[0126] In this embodiment of the invention, an anomaly score of the network transmission data is determined based on a sparse reconstruction algorithm. When the anomaly score of the network transmission data is greater than a preset anomaly score, the anomaly category of the network transmission data is accurately determined based on the K-nearest neighbor algorithm. This approach can handle network anomaly behavior detection in any scenario, adapt to the evolution of security threats, and improve the adaptability and scalability of network anomaly behavior analysis. Combining the sparse reconstruction algorithm with the K-nearest neighbor algorithm ensures that anomaly identification is only performed when the anomaly score of the network transmission data is greater than the preset anomaly score, saving computational resources. Furthermore, the K-nearest neighbor algorithm enables rapid and accurate identification of anomaly behaviors, improving the accuracy of anomaly behavior detection. Once the anomaly category of the network transmission data is determined, the system can automatically perform corresponding bypass blocking according to preset rules. This automated response capability allows the system to quickly and effectively handle anomalies, reducing the need for manual intervention and improving security and efficiency. Compared with traditional rule-based detection methods, the bypass blocking system combining the sparse reconstruction algorithm and the K-nearest neighbor algorithm provides more multi-layered and multi-dimensional network security protection, exhibiting better comprehensiveness and accuracy in capturing and processing network anomalies.

[0127] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. 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 be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

[0128] The following points need to be explained:

[0129] (1) The accompanying drawings of the embodiments of the present invention only involve the structures involved in the embodiments of the present invention. Other structures can refer to the general design.

[0130] (2) For clarity, the thickness of layers or regions is enlarged or reduced in the drawings used to describe embodiments of the invention, i.e., these drawings are not drawn to scale. It is understood that when an element such as a layer, film, region or substrate is referred to as being “above” or “below” another element, the element may be “directly” located “above” or “below” the other element or there may be intermediate elements.

[0131] (3) Where there is no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other to obtain new embodiments.

[0132] The above are merely specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. The scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A method for determining the priority of emergency power supply based on a shared energy storage device for multiple elevators, characterized in that, An emergency power supply architecture is applied to a system including a shared energy storage unit, an elevator control center, and multiple elevators, wherein each of the elevators is connected to the shared energy storage unit via the elevator control center; the method includes: S1: Obtain the emergency operation parameters of each elevator; S2: Based on the emergency operating parameters, determine the minimum energy consumption requirement of the elevator using a unified power model under the bidirectional energy condition of the elevator. S3: Using the remaining power of the shared energy storage device as a state variable, establish the Hamiltonian quantity when connecting different elevators and the shared energy storage device at different power supply stages; S4: In each power supply stage, the elevator corresponding to the minimum Hamiltonian is selected as a candidate elevator, and the candidate elevators are arranged according to the power supply stage to obtain an emergency power supply sequence. S5: Based on the emergency power supply sequence, calculate the energy margin of the shared energy storage device for each of the power supply stages; S6: If the energy margin of the shared energy storage device is greater than or equal to zero, establish an energy margin lower bound inequality based on Cauchy's inequality and proceed to step S7; otherwise, retain the power supply stage corresponding to the shared energy storage device energy margin that is greater than or equal to zero and proceed to step S9. S7: Determine whether the energy margin of the shared energy storage device satisfies the lower bound inequality of the energy margin. If it does, use the emergency power supply sequence as the power supply priority and supply power to each of the candidate elevators in sequence. Otherwise, proceed to step S8. S8: Filter and retain the power supply stage corresponding to the energy margin of the shared energy storage device that satisfies the energy margin lower bound inequality; S9: Power is supplied to the reserved candidate elevators in sequence according to the emergency power supply sequence as the power supply priority.

2. The emergency power supply priority determination method based on a shared energy storage device for multiple elevators according to claim 1, characterized in that, The emergency operation parameters are obtained through the elevator control center. The emergency operation parameters include the elevator number with passengers, remaining descent distance, total passenger mass, counterweight mass, rated power of the braking electromagnet, power consumption of the control board, rated mechanical efficiency of the motor, rated emergency descent speed, and remaining power in the shared energy storage device.

3. The emergency power supply priority determination method based on a shared energy storage device for multiple elevators according to claim 1, characterized in that, S2 specifically includes: S201: By combining the symbolic function, a unified power model is established for the emergency state operating parameters to determine the total power of each elevator; S202: Determine the minimum energy consumption requirement of the elevator based on the total power, wherein the minimum energy consumption requirement of the elevator is specifically the product of the total power and the elevator descent time, wherein the elevator descent time is specifically the quotient of the remaining descent distance of the corresponding elevator and the emergency descent rated speed.

4. The emergency power supply priority determination method based on a shared energy storage device for multiple elevators according to claim 1, characterized in that, S3 specifically includes: S301: Take the remaining power of the shared energy storage device as the system state, and take the candidate elevator number of the candidate elevator activated in different stages as the switching control quantity to establish the state equation of the shared energy storage device in different power supply stages. S302: Based on the state equation, establish the Hamiltonian, wherein the Hamiltonian is positively correlated with the energy consumption rate of the shared energy storage device.

5. The emergency power supply priority determination method based on a shared energy storage device for multiple elevators according to claim 1, characterized in that, S4 specifically includes: S401: Initialize the elevator assembly and power supply phase located in the elevator pool; S402: Calculate the total power of the elevator set and the Hamiltonian of each elevator in the elevator set; S403: Select the elevator corresponding to the smallest Hamiltonian as the candidate elevator for the current power supply stage, remove the candidate elevator for the current power supply stage from the elevator set, and increment the power supply stage by 1; S404: Determine whether the elevator set is an empty set. If so, arrange the candidate elevators according to the power supply stage to obtain the emergency power supply sequence. Otherwise, return to step S402.

6. The emergency power supply priority determination method based on a shared energy storage device for multiple elevators according to claim 1, characterized in that, S5 specifically includes: S501: Calculate the total energy consumption of the elevator in each power supply stage of the emergency power supply sequence; S502: Based on the total energy consumption of the elevator, calculate the energy margin of the shared energy storage device for each power supply stage.

7. The emergency power supply priority determination method based on a shared energy storage device for multiple elevators according to claim 1, characterized in that, The formula for the lower bound inequality of the energy margin is as follows: ； in, This represents the shared energy margin at the start of the k-th power supply phase. Let represent the total energy consumption of the elevator in the j-th power supply stage, and n represent the total number of power supply stages, which is the same as the total number of elevators. This represents the total standby power of non-candidate elevators at the start of power supply phase k. This represents the total standby power of non-candidate elevators at the start of power supply phase j.

8. The emergency power supply priority determination method based on a shared energy storage device for multiple elevators according to claim 1, characterized in that, Following S9, it also includes: Issue warnings for the remaining candidate elevators.

9. An emergency power supply priority determination system based on a shared energy storage device for multiple elevators, characterized in that, include: processor; A memory storing computer-readable instructions, which, when executed by the processor, implement the emergency power supply priority determination method based on a shared energy storage device for multiple elevators as described in any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the emergency power supply priority determination method based on a shared energy storage device for multiple elevators as described in any one of claims 1 to 8.

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