Emergency power supply management method and system based on mobile charging and discharging equipment

Abstract

The invention discloses an emergency power supply management method and system based on mobile charging and discharging equipment, and relates to the technical field of emergency management, and the method comprises the steps: analyzing the power output parameters of the mobile charging and discharging equipment, constructing a power supply parameter list, obtaining the power demand information of multiple emergency equipment, and configuring the supply priority of each emergency equipment; establishing a demand-supply matching relationship, and performing supply scheme search based on the demand-supply matching relationship to obtain supply alternative schemes; and performing supply evaluation, and determining a supply management execution scheme. The technical problems that in the prior art, fine analysis of power demands and reasonable allocation of supply resources are lacked, optimal power distribution is difficult to achieve, and consequently power supply of part of key equipment is insufficient are solved, and the purposes that accurate demand analysis is achieved, optimal distribution of the power resources is achieved, and the power supply efficiency is improved are achieved. And key equipment is ensured to obtain sufficient power supply preferentially, and the power supply stability is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency management, and in particular to an emergency power supply management method and system based on mobile charging and discharging equipment. Background Art

[0002] In today's society, various emergencies such as natural disasters, public health incidents, industrial accidents, etc. occur frequently. These emergencies often lead to interruptions or instability in power supply, bringing huge challenges to rescue work, infrastructure operation and social order. In emergency scenarios, a stable supply of electricity is essential to ensure the normal operation of key facilities such as communications, medical rescue equipment, and lighting systems. Traditional emergency power supply methods often have many limitations.

[0003] Existing technologies lack detailed analysis of electricity demand and reasonable allocation of supply resources, making it difficult to achieve optimal electricity distribution, leading to technical problems such as insufficient power supply to some key equipment. Summary of the invention

[0004] The present application provides an emergency power supply management method and system based on mobile charging and discharging equipment, which is used to solve the technical problems in the prior art that there is a lack of refined analysis of power demand and reasonable allocation of supply resources, making it difficult to achieve optimal power distribution, resulting in insufficient power supply to some key equipment.

[0005] In view of the above problems, the present application provides an emergency power supply management method and system based on mobile charging and discharging equipment.

[0006] In a first aspect of the present application, a method for managing emergency power supply based on mobile charging and discharging equipment is provided, the method comprising:

[0007] The power output parameters of the mobile charging and discharging equipment are parsed to construct a list of power supply parameters, including voltage level, current, power, frequency, and capacity; the power demand information of multiple emergency devices is obtained, and the power demand information is multi-dimensional description information of load constraint characteristics, demand quantity, and power characteristics of power demand parameters for multiple emergency devices respectively; load priority evaluation is performed according to the supply terminal characteristics of the multiple emergency devices, and the supply priority of each emergency device is configured; the power demand information is matched with the power supply parameter list to establish a demand-supply matching relationship, and the demand-supply matching relationship includes the matching relationship between the description information of each dimension in all power demand information and each parameter in the power supply parameter, wherein the matching relationship includes one or more corresponding relationships among one-to-one, one-to-many, and many-to-one; supply plan search is performed based on the demand-supply matching relationship to obtain supply alternative plans; supply evaluation is performed on the supply alternative plans according to the power demand information and the supply priority, and a supply management execution plan is determined, and the supply management execution plan is used to execute control on the output connection relationship and output parameters of the mobile charging and discharging equipment.

[0008] The second aspect of the present application provides an emergency power supply management system based on mobile charging and discharging equipment, the system comprising:

[0009] A power supply parameter list construction module, the power supply parameter list construction module is used to parse the power output parameters of the mobile charging and discharging equipment and construct a power supply parameter list, including voltage level, current, power, frequency, and capacity; a power demand information acquisition module, the power demand information acquisition module is used to obtain the power demand information of multiple emergency devices, and the power demand information is a multi-dimensional description of the load constraint characteristics, demand quantity, and power characteristics of the power demand parameters of multiple emergency devices; a supply priority configuration module, the supply priority configuration module is used to evaluate the load priority according to the supply terminal characteristics of the multiple emergency devices, and configure the supply priority of each emergency device; a demand-supply matching relationship establishment module, the demand-supply matching relationship establishment module is used to evaluate the load priority according to the power demand information and the supply terminal characteristics of the multiple emergency devices, and configure the supply priority of each emergency device. The power supply parameter list is matched to establish a demand-supply matching relationship, wherein the demand-supply matching relationship includes the matching relationship between the description information of each dimension in all the power demand information and the parameters in the power supply parameters, wherein the matching relationship includes one or more corresponding relationships of one-to-one, one-to-many, and many-to-one; a supply alternative solution acquisition module, wherein the supply alternative solution acquisition module searches for supply solutions based on the demand-supply matching relationship to obtain supply alternative solutions; a supply management execution solution determination module, wherein the supply management execution solution determination module is used to perform supply evaluation on the supply alternative solutions according to the power demand information and the supply priority, and determine the supply management execution solution, wherein the supply management execution solution is used to execute and control the output connection relationship and output parameters of the mobile charging and discharging device.

[0010] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0011] The power output parameters of the mobile charging and discharging equipment are parsed, a power supply parameter list is constructed, the power demand information of multiple emergency equipment is obtained, the load priority is evaluated according to the supply terminal characteristics of the multiple emergency equipment, and the supply priority of each emergency equipment is configured; the power demand information is matched with the power supply parameter list, a demand-supply matching relationship is established, and a supply plan search is performed based on the demand-supply matching relationship to obtain supply alternatives; the supply management execution plan is determined, and the supply management execution plan is used to execute and control the output connection relationship and output parameters of the mobile charging and discharging equipment. The technical effect of achieving accurate demand analysis, realizing the optimal allocation of power resources, ensuring that key equipment is given priority to sufficient power supply, and improving power supply stability is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0013] Figure 1 A flow chart of a method for managing emergency power supply based on mobile charging and discharging equipment provided in an embodiment of the present application;

[0014] Figure 2 A schematic diagram of the structure of an emergency power supply management system based on mobile charging and discharging equipment provided in an embodiment of the present application.

[0015] Explanation of the reference numerals: power supply parameter list building module 10, power demand information acquisition module 20, supply priority configuration module 30, demand-supply matching relationship establishment module 40, supply alternative solution acquisition module 50, supply management execution solution determination module. DETAILED DESCRIPTION

[0016] The present application provides an emergency power supply management method and system based on mobile charging and discharging equipment, which is used to solve the technical problems in the prior art that there is a lack of refined analysis of power demand and reasonable allocation of supply resources, making it difficult to achieve optimal power distribution, resulting in insufficient power supply to some key equipment.

[0017] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0018] Embodiment 1

[0019] like Figure 1 As shown, the present application provides an emergency power supply management method based on mobile charging and discharging equipment, the method comprising:

[0020] Step S100: Analyze the power output parameters of the mobile charging and discharging device and construct a power supply parameter list, including voltage level, current, power, frequency, and capacity.

[0021] Specifically, consult the technical specifications, operating manuals, and related performance test reports of mobile charging and discharging equipment, and extract accurate numerical values ​​and parameter information related to power output from these sources. For voltage levels, the different voltage values ​​that the device can stably output will be clearly defined, such as 5V, 12V, 220V, etc., and the output conditions and restrictions corresponding to each voltage level will be recorded in detail. In terms of current, accurately measure the current that the device can output under different working modes and load conditions, and may obtain specific values ​​such as 1A, 2A, 5A, etc., while also paying attention to its maximum sustainable output current and the current fluctuation range. The determination of power is calculated by multiplying the voltage and current, while considering factors such as the efficiency and power factor of the equipment to obtain accurate power values, such as 10W, 50W, 1000W, etc., and understand the dynamic range of its power output. Frequency analysis focuses on determining the frequency value when the device outputs AC power, such as the common 50Hz or 60Hz, as well as the stability and deviation range of the frequency under different working conditions. Capacity acquisition involves evaluating the capacity of the battery or energy storage element inside the device, which may be measured in ampere-hours (Ah) or watt-hours (Wh), such as 10,000mAh, 500Wh, etc., and will also take into account the attenuation of capacity over time and the number of charge and discharge cycles. The voltage level, current, power, frequency, capacity and other parameters collected and calculated above are organized into a detailed list of power supply parameters in a certain format and order to more accurately match the power requirements of emergency equipment and avoid mismatches or insufficient / excess power supply problems caused by unclear parameters.

[0022] Step S200: obtaining power demand information of multiple emergency devices, wherein the power demand information is multi-dimensional description information of load constraint characteristics, demand quantity, and power characteristics of power demand parameters of the multiple emergency devices.

[0023] Specifically, it is necessary to first establish connections and data collection channels with multiple emergency devices. Through wired or wireless means, such as Bluetooth, Wi-Fi, or a dedicated data interface. For the acquisition of load constraint characteristics, relevant data will be read from the technical specification manual of the device, built-in sensors or control systems. For example, for some precision medical equipment, detailed information such as the voltage fluctuation range that can be tolerated is within ±5%, and the current overload protection threshold is 1.2 times the rated current will be obtained. For the determination of power demand, the operating mode and work tasks of the equipment will be comprehensively considered. For example, an emergency lighting device consumes 100 watts of electricity per hour in full-power working mode, and only 50 watts per hour in energy-saving mode; for another example, a communication base station requires 500 watts of stable power under normal communication load, but may instantly require 800 watts of peak power during peak communication hours. In terms of power characteristics, we will deeply analyze the power interface type of the equipment (such as DC plug, AC socket), the required voltage type (such as DC 12V, AC 220V), the strict requirements for frequency (such as 50Hz and the deviation does not exceed ±0.5Hz), and whether there are special requirements for the purity of the power (such as whether a certain proportion of harmonics can be tolerated). Through the above detailed and comprehensive data collection and analysis, a detailed file containing load constraint characteristics, demand and power characteristics is built for each emergency device, forming a rich and accurate multi-emergency equipment power demand information library, which can achieve more reasonable power resource allocation and improve overall power utilization efficiency.

[0024] Step S300: performing load priority evaluation according to the supply terminal characteristics of the multiple emergency devices, and configuring the supply priority of each emergency device.

[0025] Specifically, first, a comprehensive and in-depth analysis of the supply terminal characteristics of multiple emergency equipment is conducted. Supply terminal characteristics may include the criticality of the equipment in the emergency scenario, the degree of impact on the life safety of personnel, the importance of the overall emergency rescue operation, the irreplaceability of the equipment, the severity of the consequences of equipment failure, etc. For example, for medical emergency equipment, such as cardiac defibrillators, because they are directly related to the life safety of patients, they will be given the highest priority, while for some auxiliary lighting equipment, although they are also important, they may have a lower priority. Then, a quantitative or qualitative evaluation is conducted based on these characteristics. Quantitative evaluation uses a scoring method to set a certain score weight for each feature and calculate a priority score comprehensively. Qualitative evaluation divides the equipment into different priority categories such as high, medium, and low through expert judgment, group discussion, etc. Finally, the corresponding supply priority is clearly configured for each emergency equipment based on the evaluation results. This priority configuration will serve as an important basis for subsequent power allocation and supply decisions to ensure that key and important emergency equipment can obtain stable and sufficient power supply first when power resources are limited. By reasonably configuring the priority, it is ensured that the most critical emergency equipment can continue to operate stably in an emergency, thereby improving the success rate of emergency rescue.

[0026] Step S400: Match the power demand information with the power supply parameter list to establish a demand-supply matching relationship, wherein the demand-supply matching relationship includes the matching relationship between the description information of each dimension in all the power demand information and the parameters in the power supply parameters, wherein the matching relationship includes one or more corresponding relationships of one-to-one, one-to-many, and many-to-one.

[0027] Specifically, the previously acquired power demand information and the constructed power supply parameter list are compared and analyzed in detail. The power demand information of each emergency device, including descriptions of various dimensions such as load constraint characteristics, demand and power characteristics, is matched one by one with the parameters such as voltage level, current, power, frequency and capacity in the power supply parameter list. Taking a one-to-one matching relationship as an example, if a certain emergency device requires a stable voltage of 220V, a current of 10A and a power of 2200W, and the mobile charging and discharging device happens to have an output port that can accurately provide 220V, 10A and 2200W of power, this precise one-to-one matching is formed. One-to-many matching: multiple emergency devices, such as several small communication devices, all require only a 5V, 1A DC power supply, and the mobile charging and discharging device has a 5V, 5A output port that can meet the needs of these communication devices at the same time. Many-to-one matching: a multi-functional output interface of a mobile charging and discharging device can provide different voltage and current combinations such as 12V / 2A, 9V / 3A, 5V / 4A through adjustment settings. There are several different emergency devices, one that requires 12V / 2A, another that can accept 9V / 3A under certain circumstances, and another that can use 5V / 4A in low-power mode. They can all get the required power through this multi-functional interface. Process and compare a large amount of data, while considering various possible situations and constraints to ensure that the established demand-supply matching relationship is accurate and comprehensive. After the matching is completed, all matching relationships are organized into clear and unambiguous documents or database records to form a detailed list of demand-supply matching relationships. This list not only includes specific matching parameters and corresponding relationships, but also indicates the emergency equipment and power supply ports applicable to each matching relationship. Ensure accurate correspondence between power demand and supply to reduce the possibility of mismatching and mismatching.

[0028] Step S500: Searching for supply solutions based on the demand-supply matching relationship to obtain supply alternatives.

[0029] Specifically, the established demand-supply matching relationship is input into a specially designed solution search algorithm, which considers all possible power distribution combinations. For a one-to-one matching relationship, it is directly used as the basic supply unit. For example, device A forms a one-to-one match with output port 1 of the mobile charging and discharging device, which constitutes a basic supply combination. For a one-to-many matching relationship, further analysis is required. For example, output port 2 can simultaneously meet the power needs of devices B, C, and D, but their usage time and priority are different. It is possible that device B requires continuous and stable power supply, device C operates at high power during a specific time period, and device D is used intermittently. Based on these conditions, multiple possible simultaneous supply solutions are generated. For a many-to-one matching relationship, for example, output port 3 can provide different voltage and current combinations to meet the normal mode of device E and the energy-saving mode of device F respectively. The algorithm will consider factors such as the overlapping usage time of devices E and F and changes in power demand, and generate supply solutions with different time sequences and power distribution. Various constraints will also be introduced during the search process. For example, the total battery capacity of mobile charging and discharging equipment is limited and cannot exceed its maximum discharge capacity; each emergency device has a minimum operating time requirement to ensure the completion of a specific task; there will be a certain amount of power loss during transmission, which needs to be taken into account in the plan to ensure that the power actually reaching the device meets the demand. Through continuous attempts and calculations, a large number of potential supply plans are generated under the premise of meeting all constraints. These plans will list in detail the connection method between each emergency device and the output port of the mobile charging and discharging device, the start time and duration of power supply, the voltage and current values ​​of the supply, and other specific information. Finally, all the generated plans are preliminarily screened and sorted, and plans that are obviously not in line with actual needs or are inefficient are removed to obtain a series of feasible and potentially optimized supply alternatives, making the alternatives more practical and effective, and improving the ability to cope with complex scenarios.

[0030] Step S600: performing supply evaluation on the supply alternatives according to the power demand information and the supply priority, and determining a supply management execution plan, wherein the supply management execution plan is used to execute and control the output connection relationship and output parameters of the mobile charging and discharging device.

[0031] Specifically, first obtain the previously determined power demand information and supply priority related data. The power demand information includes detailed parameters such as the load constraint characteristics, demand and power characteristics of each emergency device. The supply priority clarifies the order and importance of different emergency devices in obtaining power supply. Then, a comprehensive and in-depth evaluation is conducted for each supply alternative. During the evaluation process, the power distribution in the alternative plan will be compared with the power demand information to ensure that each emergency device can obtain power supply that meets its load constraints and demand. At the same time, combined with the supply priority, priority is given to ensuring that the power demand of high-priority emergency equipment is fully met. In terms of evaluating the output connection relationship, check whether the connection method between the mobile charging and discharging equipment and each emergency device in the plan is reasonable, stable and safe, whether it can effectively transmit power, and whether it has good operability and maintainability in a complex emergency environment. For the evaluation of output parameters, focus on whether the output parameters such as voltage, current, and power set in the plan are accurate, and whether they can minimize power loss and improve energy efficiency while meeting the equipment needs. By comprehensively considering the above factors, each supply alternative is scored and ranked, and the plan with a higher score is considered better and is determined as the final supply management implementation plan. Once the supply management implementation plan is determined, it will be used to accurately control the output connection relationship of the mobile charging and discharging equipment to ensure correct connection to each emergency device. At the same time, it is strictly adjusted and controlled according to the output parameters set in the plan to achieve efficient, stable and safe power supply.

[0032] In a possible implementation, step S200 further includes:

[0033] Step S210: Based on the load time series characteristics of the emergency equipment application scenario, the load time series characteristics include continuous load characteristics and intermittent load characteristics.

[0034] Step S220: Analyze the operating load of the emergency device according to the load time series characteristics to obtain the load constraint characteristics of each time series, where the load constraint characteristics represent the minimum power demand of the emergency device under the operating load.

[0035] Step S230: Obtain the voltage level, current, and power of the emergency equipment as the power characteristics.

[0036] Step S240: Obtain the emergency prediction duration, and determine the demand according to the emergency prediction duration and the power characteristics.

[0037] Step S250: Characterize the demand based on the load time series characteristics and the load constraint characteristics to obtain the power demand information.

[0038] Specifically, we need to have an in-depth understanding of the specific scenarios in which emergency equipment is used, including but not limited to disaster rescue sites, temporary medical sites, emergency communication base stations, etc. For the emergency equipment in each scenario, its load time series characteristics are obtained in the following ways: For continuous load characteristics, high-precision power monitoring instruments, such as smart meters or power analyzers, are used to continuously monitor the power input of the equipment for a long time. Taking a device used to maintain patient vital signs monitoring in a temporary medical site as an example, the monitoring instrument will record that the device has maintained a relatively stable voltage and current input for hours or even days, with almost no obvious fluctuations or interruptions, which indicates that it has continuous load characteristics. For intermittent load characteristics, monitoring equipment with timestamp recording function will be used, and combined with the working mechanism and actual operation of the equipment for analysis. For example, the emergency lighting system at a disaster rescue site will show regular on and off states according to the alternation of day and night, or the phased needs of rescue work. The monitoring equipment will record the high load period when the lighting system is turned on, and the zero load period when it is turned off, so as to clearly show its intermittent load characteristics. In addition, other data related to equipment operation, such as ambient temperature, trigger conditions for equipment working mode switching, etc., will be collected and analyzed to more comprehensively and accurately determine the characteristics of load time series. At the same time, a special database will be established to store these monitoring data and analysis results for subsequent in-depth research and comparison. Through the above detailed and comprehensive monitoring and analysis methods, the continuous load characteristics and intermittent load characteristics of emergency equipment in its application scenarios can be accurately determined, providing reliable basic data for subsequent power demand assessment and supply strategy formulation.

[0039] Based on the load time series characteristics determined above, the operating load status of the emergency equipment is deeply analyzed. The load time series data is subdivided into different time periods according to the order of time. For each time period, the power usage of the emergency equipment in the time period is studied. For time periods with continuous load characteristics, stable voltage, current and other data are obtained through monitoring equipment, and the minimum power level required to maintain the normal operation of the equipment during this period is calculated. For example, for a continuously operating medical monitoring device, the voltage continuously monitored in a certain period of time is 220V and the current is 1A, then the minimum power requirement is calculated to be 220W. For time periods with intermittent load characteristics, it is necessary to analyze the peak and trough moments of the load. At the peak moment, the minimum power parameter value that can ensure the normal operation of the equipment is also monitored and calculated; at the trough moment, the minimum power input required for the equipment to maintain basic functions is recorded. For example, for an intermittent emergency communication device, 500W of power may be required during the peak of communication, and only 100W is required to maintain standby status during the communication interval. Through detailed analysis of each time period, the load constraint characteristics corresponding to each time series are obtained. These characteristics clearly show the minimum power demand of emergency equipment under different operating load conditions, providing a key quantitative basis for subsequent power supply planning.

[0040] Use professional power measuring instruments and equipment to obtain the key power parameters of the emergency equipment. Use a high-precision voltmeter connected to the power input terminal of the emergency equipment to accurately measure the voltage value when it is working and determine the voltage level to which it belongs. For example, the working voltage of the equipment is measured to be 220 volts, and its voltage level is determined to be the common AC 220V. Use an ammeter in series in the circuit to measure the current passing through the emergency equipment when it is running. The current values ​​under different working conditions will be measured, such as 0.5 amperes in standby mode and 2 amperes when running at full power. Then, based on the measured voltage and current values, the power of the equipment is calculated using the power calculation formula (power = voltage × current). For example, when the voltage is 220V and the current is 2A, the power is calculated to be 440 watts. Record the measured and calculated parameters such as voltage level, current, and power as the power characteristics of the emergency equipment. These power characteristics can intuitively reflect the power consumption and working performance of the equipment,

[0041] Clarify the expected duration of the emergency, that is, the emergency forecast duration. This is based on the experience data of similar emergency events in the past, the scale and development trend of the current emergency event, or the evaluation and forecast by relevant experts based on the on-site situation. Then, the power demand is calculated by combining the power characteristics of the emergency equipment obtained previously, including parameters such as voltage level, current and power. For example, if it is known that the power of the emergency equipment is 500 watts and the emergency forecast duration is 10 hours. Then the power demand can be calculated by multiplying the power by the time, that is, 500 watts × 10 hours = 5000 watt-hours (5 kWh). In actual calculations, some additional factors need to be considered, such as the starting current of the equipment may be higher than the normal working current, or the power fluctuations that may exist during long-term operation, etc., and the calculation results should be appropriately corrected and adjusted to ensure that the power demand obtained is more accurate and reliable. By comprehensively considering the emergency forecast duration and power characteristics, the power demand of the emergency equipment in a specific emergency situation can be determined more accurately to ensure that sufficient power is provided to the equipment during the emergency to maintain its normal operation.

[0042] Based on the load time series characteristics and load constraint characteristics, the calculated demand is marked and classified. This feature identification helps to more clearly understand and manage the power demand of different emergency equipment under different operating conditions, thereby obtaining comprehensive and accurate power demand information.

[0043] In a possible implementation, step S250 further includes:

[0044] Step S251: Collect the working status monitoring data of multiple emergency equipment, and fit the load variation relationship of working power over time.

[0045] Step S252: extracting a load peak value according to the load variation relationship, and locating the working state stage of the emergency equipment based on the load peak value.

[0046] Step S253: when the working state stage is the initial load startup stage, obtaining a startup limit threshold.

[0047] Step S254: using the startup limit threshold to set a mandatory constraint, and fitting it into the power demand information.

[0048] Specifically, suitable sensors or monitoring devices are installed on multiple emergency equipment, which can collect various status data of the equipment in real time, such as voltage, current, power, etc. The frequency of collection should be high enough to ensure that subtle changes in the working state can be accurately captured. Then, the large amount of collected data is sorted and screened, and outliers and erroneous data are removed to improve the quality and reliability of the data. Data analysis and mathematical modeling methods are used, such as the least squares method, curve fitting algorithm, etc., to fit the processed data and construct a functional relationship or curve model of the working power changing over time. The load change relationship obtained can clearly show the dynamic change law of power over time of different emergency equipment during operation.

[0049] Analyze the load variation relationship between the working power and time obtained by the previous fitting to find the maximum power point, that is, the load peak. According to the time point when the load peak occurs and the power variation trend before and after it, the working state stage of the emergency equipment can be judged. For example, if the load peak appears in a short time after the equipment is started, and then the power drops rapidly, then it can be judged that this peak corresponds to the initial load startup stage. If multiple load peaks appear during the operation of the equipment, and there is a certain regular interval between each peak, it means that the equipment is periodically performing certain high-power demand operations, thereby determining that its corresponding working state stage is a periodic high-load stage. By accurately extracting the load peak and locating the working state stage based on this, we can gain an in-depth understanding of the operating characteristics of the emergency equipment.

[0050] If the working state stage is determined to be the initial load startup stage, that is, when the device just starts, the startup limit threshold for this stage is obtained. This threshold is specified by the device manufacturer, or is determined based on previous usage experience and relevant technical standards, and is used to limit parameters such as current, voltage or power during startup to protect the device and circuit.

[0051] Apply the previously obtained startup limit threshold to the power demand information to establish a mandatory constraint. Convert the startup limit threshold into specific power parameters, such as voltage upper limit, current upper limit or power lower limit, and add these parameters as hard regulations to the relevant part of the power demand information, which means that these constraints must always be met in the subsequent power supply planning, allocation and management process. For example, if the startup limit threshold stipulates that the minimum power at startup is 3000 watts, then this minimum power requirement is clearly marked in the power demand information, and it is ensured that in the formulation and implementation of any power supply plan, the emergency equipment can be provided with a power of no less than 3000 watts in the initial load startup phase. In this way, the startup limit threshold is closely integrated with the power demand information, so as to effectively ensure that the emergency equipment can obtain sufficient power support in the initial load startup phase to ensure its normal startup and operation.

[0052] In a possible implementation, step S400 further includes:

[0053] Step S410: taking the mandatory constraint as the first matching priority, traversing the demand corresponding to the mandatory constraint and the supply parameters in the power supply parameter list to determine a mandatory matching relationship.

[0054] Step S420: taking the continuous load feature as the second matching priority, traversing the demand of the continuous load feature and the supply parameters in the power supply parameter list to determine a continuous supply matching relationship.

[0055] Step S430: taking the intermittent load feature as the third matching priority, traversing the requirements of the intermittent load feature and the supply parameters in the power supply parameter list to determine an intermittent supply matching relationship.

[0056] Step S440: constructing a tower-type matching relationship network based on the mandatory matching relationship, the continuous supply matching relationship, and the intermittent supply matching relationship in a matching order sequence to obtain the demand-supply matching relationship.

[0057] Specifically, the mandatory constraint has the highest priority and is processed as the first matching order. Analyze the specific requirements corresponding to the mandatory constraint, which include specific power parameter requirements such as a specific voltage range, minimum current supply, and shortest continuous power supply time. Then, obtain a list of power supply parameters. This list contains various possible power supply options, each of which has its corresponding detailed parameters such as voltage, current, power, and supply duration. Compare and check the requirements of the mandatory constraint with each supply parameter in the power supply parameter list one by one. Starting from the first supply parameter in the list, check whether it can meet all the requirements of the mandatory constraint in turn. If a supply parameter fully meets the requirements of the mandatory constraint, record this matching relationship and determine it as a mandatory matching relationship. In the process of traversing the entire power supply parameter list, find multiple supply parameters that meet the mandatory constraint. But in any case, only the supply parameters that fully meet the requirements of the mandatory constraint can be determined as a mandatory matching relationship.

[0058] Set the continuous load feature as the second priority for matching. Clarify the specific requirements corresponding to the continuous load feature, including the duration of the continuous load, stable power requirements, voltage and current smoothness, etc. Obtain the previously prepared power supply parameter list. This list contains various available power supply schemes and their detailed parameters. Then, start to compare and traverse the requirements of the continuous load feature with each supply parameter in the power supply parameter list one by one, starting with the first supply parameter in the list, and check in detail whether it can continuously and stably meet the power, voltage, current and other requirements of the continuous load for a long time. If a certain supply parameter can stably provide power that meets the continuous load requirements within the specified duration, it will be determined as a continuous supply matching relationship and recorded.

[0059] Put the intermittent load characteristics in the third place for matching operations, define the specific requirements of the intermittent load characteristics, covering the periodic law of the intermittent load, the power peak and valley value of each load, the duration and interval time of the load and other detailed parameters. Then, obtain the existing power supply parameter list, which covers a series of different power supply schemes and their respective detailed power parameter settings. Compare and comprehensively traverse the requirements of the intermittent load characteristics with each supply parameter in the power supply parameter list one by one. Starting from the first supply parameter in the list, check whether it can adapt to the unique law of intermittent loads, that is, it can provide sufficient power in time when the load appears, reasonably adjust the supply to save energy during the load interval, and remain stable and reliable throughout the intermittent load cycle. If a certain supply parameter can accurately meet the various requirements of the intermittent load, including power supply at load peak, energy-saving adjustment at valley value, and cycle adaptability, it will be determined as an intermittent supply matching relationship and corresponding records will be made.

[0060] According to the matching order determined previously, the mandatory matching relationship is at the top. This means that when building a tower-type matching relationship network, the mandatory matching relationship is the foundation and primary connection. Starting from the mandatory matching relationship, the second layer, namely the continuous supply matching relationship, is extended downward. The demand for continuous load characteristics associated with the mandatory matching relationship and the corresponding supply parameters are connected to form a stable relationship link. Then, the third layer, namely the intermittent supply matching relationship, is built on the basis of the second layer. The demand for intermittent load characteristics and the supply parameters that can be satisfied are connected in sequence and logic. Through such layered construction, a pyramid-like tower structure is formed. Each layer is expanded and supplemented based on the foundation of the previous layer, and the layers are interrelated and supportive of each other. In this tower-type matching relationship network, from the mandatory constraints at the top to the intermittent load characteristics at the bottom, the corresponding relationship between different types of load demands and power supply is clearly demonstrated, and the entire demand-supply matching relationship is presented comprehensively and orderly. This structure helps to intuitively understand and manage the matching of power supply and demand, and can quickly locate and analyze possible problems or mismatches.

[0061] In a possible implementation, step S500 further includes:

[0062] Step S510: Based on the tower-type matching relationship network, a supply-demand relationship knowledge graph is constructed, in which the nodes are the power demand information and power supply parameters of multiple emergency equipment, and the node relationships include forced matching, continuous matching, and intermittent matching as the edges of the graph.

[0063] Step S520: configuring the search weights of various matching relationships in the demand-supply matching relationship, and establishing search constraints with the power supply parameter list, the search weights, and the power demand information.

[0064] Step S530: According to the search constraints, a supply plan search is performed through the supply and demand relationship knowledge graph to obtain the supply alternatives, which include multiple power output control plans that meet the capacities in the power supply parameter list and the power requirements of multiple emergency equipment and comply with the mandatory matching.

[0065] Specifically, key information is extracted from the established tower-type matching relationship network. For the node part, the detailed power demand information of each multi-emergency equipment, such as the voltage, current, power and other requirements of different equipment during startup, continuous operation and intermittent operation, is converted into independent nodes. At the same time, various possible power supply parameters, such as the output capacity and supply stability of different power supplies, are also set as nodes. In terms of node relationships, the three relationships of forced matching, continuous matching and intermittent matching are used as edges to connect nodes. For example, if the power demand of a certain emergency equipment in the startup phase has a forced matching relationship with a specific power supply parameter, an edge marked as forced matching is established between the corresponding two nodes. For the matching of continuous load characteristics and the matching of intermittent load characteristics, the corresponding edges are established in the same way, and their matching types are clearly marked. Through this construction method, a clear and intuitive knowledge graph of supply and demand relationships is formed. Nodes represent specific demand and supply information, and edges reflect the matching relationship and type between them.

[0066] The importance and priority of various matching relationships such as mandatory matching, continuous matching and intermittent matching in the demand-supply matching relationship are evaluated. According to the evaluation results, the corresponding search weight is configured for each matching relationship. For example, due to the inviolability and critical importance of the mandatory matching relationship, it is given a higher weight, such as 0.9; the continuous matching relationship is relatively important and may be given a weight of 0.7; the importance of the intermittent matching relationship is slightly lower, and the weight may be 0.5. Then, combined with the power supply parameter list, which contains detailed parameters such as the maximum output power, voltage range, and continuous supply capacity of the power supply, as well as the previously configured search weights and specific power demand information, including the power and voltage requirements of different emergency equipment in various operating stages, search constraints are jointly established. These constraints are expressed as a series of mathematical expressions or logical rules. For example, if the mandatory matching requirement of a certain emergency equipment is that it requires at least 2000 watts of power when starting, and the corresponding weight is 0.9, then the constraint is expressed as "when searching for supply solutions, the weight of the solution that meets the startup power of the equipment is not less than 2000 watts is increased by 0.9". Targetedly screen out effective solutions that are in line with the actual power supply capacity and can maximize the importance of various matching relationships and power needs.

[0067] According to the search constraints established earlier, the search starts from the starting node of the supply and demand relationship knowledge graph. During the search process, the nodes and edges in the knowledge graph are traversed. For each possible path and combination, check whether it meets the following key conditions: meet the capacity restrictions specified in the power supply parameter list, such as the total output power of the power supply, voltage stability and other requirements. Be able to meet the power demand of multiple emergency equipment under different working conditions, including high power demand at startup, stable power demand during continuous operation, and phased power demand during intermittent load. Strictly follow the requirements of mandatory matching to ensure that key power needs are met unconditionally. Through comprehensive and in-depth search and evaluation of various possibilities in the knowledge graph, multiple feasible supply plans are screened out to form a set of supply alternatives. These supply alternatives all have the characteristics of meeting important conditions such as power supply capacity, power demand of multiple emergency equipment, and mandatory matching. They provide a variety of options for the final decision, so that the most suitable power output control plan can be selected from them.

[0068] In a possible implementation, step S600 further includes:

[0069] Step S610: quantify the weights according to the supply priorities to obtain supply weights.

[0070] Step S620: Taking the power demand information as the basic target and minimizing the loss value between the supply result of the supply plan and the basic target as the goal, a rating function is constructed.

[0071] Step S630: constructing an evaluation model according to the supply weight and the rating function, evaluating the supply alternatives through the constructed evaluation model, and selecting the plan with the largest evaluation result as the supply management execution plan.

[0072] Specifically, the various factors and criteria that determine the supply priority are clearly defined. These reasons include, but are not limited to, the following: The criticality of emergency equipment in emergency response. For example, some equipment is critical to saving lives or preventing major losses, so its supply priority will be higher. The severity of the consequences that may result from equipment failure or power shortage: If a power outage of equipment will cause a serious accident or huge economic losses, its priority will be increased accordingly. The urgency and timeliness of the task. For example, equipment that is performing emergency rescue tasks may have a higher priority. Then, set different weights or scores for each factor. For example, the criticality can be divided into several levels: extremely high, high, medium, and low, corresponding to different scores, such as 90, 70, 50, and 30. According to the level or degree of each factor corresponding to the specific equipment or demand, calculate its weighted total score, and this total score is the quantified supply weight. Through such a quantification process, the relatively subjective and qualitative supply priority can be converted into a specific, calculable and comparable supply weight, providing a clear numerical basis for subsequent evaluation and decision-making.

[0073] The specific content of the given power demand information is clarified, including the detailed parameters such as voltage, current, power, etc. required by each emergency equipment at different working stages, as well as the time sequence and duration of these requirements. Then, for each supply plan, the power parameters that can actually be provided are compared with the power demand information. The difference between the supply result and the basic target is calculated, such as the value of the power supplied in a certain period of time being lower than the required power, or the magnitude of the voltage deviation from the required voltage. These differences can be regarded as a kind of "loss". In order to quantify and comprehensively evaluate these losses, a rating function is constructed. This function usually weights and sums various differences or losses, or obtains a comprehensive loss value through other mathematical operations. For example, suppose that a supply plan provides 500 watts less power than the required power during the startup phase of device A, and the voltage deviates from the required voltage by 5 volts during the continuous operation phase of device B. Weights can be set for power difference and voltage difference respectively, such as the power difference weight is 0.7 and the voltage difference weight is 0.3, and the comprehensive loss value of the supply plan is obtained through weighted calculation. The goal of the rating function is to minimize this loss value, that is, to find the supply plan that can most closely meet the electricity demand information, so that different supply plans can be effectively compared and evaluated.

[0074] The previously obtained supply weights are taken into consideration. The supply weights reflect the importance and priority of different supply demands, combined with the constructed rating function. The rating function is used to measure the loss value between the supply result of each supply alternative and the basic target (power demand information). An evaluation model is constructed based on the supply weights and the rating function. In the model, the loss value obtained by the rating function is adjusted, for example, the loss value is weighted according to the supply weight, or the supply weight and the loss value are calculated in some way to obtain a comprehensive evaluation index. Each supply alternative is input into the constructed evaluation model in turn. The model calculates and evaluates each alternative and gives a corresponding evaluation result. From all the evaluation results, the one with the largest value is selected. This plan is identified as the one that best meets the supply demand and priority, and can reflect the importance and priority of supply to the greatest extent on the basis of meeting the power demand, so it is determined as the supply management execution plan for actual power supply management and implementation.

[0075] In a possible implementation, step S600 further includes:

[0076] Step S610: Determine the priority difference according to the supply priority.

[0077] Step S620: When the priority difference reaches a preset difference or the supply priority reaches a priority threshold, extract the first priority, which is the emergency equipment with the highest priority.

[0078] Step S630: extracting a first supply solution for a first emergency device from the supply alternative solutions based on the first priority.

[0079] Step S640: determining the remaining supply amount of the mobile charging and discharging device according to the first supply plan.

[0080] Step S650: quantify the weights according to the supply priorities of the remaining emergency equipment, screen the supply alternatives based on the allocated weights and the remaining supply quantities, and obtain the supply management execution plan.

[0081] Specifically, the supply priorities of various emergency equipment that have been set are obtained. These priorities may be expressed in numerical form, such as a scale of 1 to 5, or in specific weight values. By comparing the values ​​or weights of these priorities and calculating the gaps between them, a variety of methods can be used to determine the difference, such as calculating the difference between adjacent priorities, or calculating statistics such as the standard deviation and variance of all priorities.

[0082] Compare the priority difference calculated previously with the preset difference value set in advance. If the priority difference is greater than or equal to the preset difference value, it means that there is a significant gap between the priorities of different emergency equipment. At the same time, it is also necessary to check whether the supply priority of each emergency equipment has reached the preset priority threshold. This priority threshold is usually a specific priority level set according to the actual situation and importance. When at least one of the above two conditions is met, the one with the largest value or the highest weight is extracted from the supply priorities of all emergency equipment, and it is defined as the first priority. The emergency equipment corresponding to this first priority is the equipment that is considered to have the highest priority in the current situation.

[0083] Since the first priority has been determined, the next step is to screen among the numerous supply alternatives. Carefully review the specific supply arrangements for the emergency equipment with the first priority (i.e., the first emergency equipment) in each supply alternative. This may include parameters such as the amount of power, voltage, current, and details such as the time and method of supply. By reviewing these plans one by one, extract the supply plan designed specifically for the first emergency equipment and mark it as the first supply plan.

[0084] After obtaining the first supply plan, according to the amount and specifications of power resources allocated to the first emergency device in this plan, calculate how much power the mobile charging and discharging device has left to supply after meeting the needs of the first emergency device. This requires considering the initial total power of the mobile charging and discharging device, the output power limit, and the portion that has been allocated to the first emergency device. Through accurate calculation, the remaining supply of the mobile charging and discharging device is obtained, which provides an important basis for the subsequent allocation of power resources to other emergency devices.

[0085] For the remaining emergency equipment except the first emergency equipment that has been assigned the first supply plan, their supply priorities are re-evaluated. Then, the supply priorities of these remaining emergency equipment are converted into specific weights. The weight quantification process refers to the previous processing method for the first priority, and the priority is converted into a numerical weight according to a specific rule or algorithm. Based on these allocation weights and the remaining supply of mobile charging and discharging equipment calculated previously, the supply alternatives are screened and evaluated again. In the screening process, it is comprehensively considered whether the power allocation of each supply alternative to the remaining emergency equipment is reasonable, and whether it can meet the needs of emergency equipment with higher weights (i.e., higher supply priority) to the greatest extent under the limitation of the remaining supply. Through a comprehensive comparison and analysis of each supply alternative, an optimal plan is finally determined. This plan can best balance and meet the power needs of the remaining emergency equipment based on the existing remaining supply, and it is determined as the supply management execution plan.

[0086] Embodiment 2

[0087] Based on the same inventive concept as the method for managing emergency power supply of mobile charging and discharging equipment in the aforementioned embodiment, Figure 2 As shown, the present application provides an emergency power supply management system based on mobile charging and discharging equipment. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0088] The power supply parameter list construction module 10 is used to parse the power output parameters of the mobile charging and discharging device and construct a power supply parameter list, including voltage level, current, power, frequency, and capacity.

[0089] The power demand information acquisition module 20 is used to obtain power demand information of multiple emergency devices. The power demand information is multi-dimensional description information of load constraint characteristics, demand quantity, and power characteristics of power demand parameters of multiple emergency devices.

[0090] The supply priority configuration module 30 is used to evaluate the load priority according to the supply terminal characteristics of the multiple emergency devices and configure the supply priority of each emergency device.

[0091] The demand-supply matching relationship establishing module 40 is used to match the power demand information with the power supply parameter list to establish a demand-supply matching relationship, wherein the demand-supply matching relationship includes the matching relationship between the description information of each dimension in all the power demand information and the parameters in the power supply parameters, wherein the matching relationship includes one or more corresponding relationships among one-to-one, one-to-many, and many-to-one.

[0092] The supply alternative solution acquisition module 50 searches for supply solutions based on the demand-supply matching relationship to obtain supply alternative solutions.

[0093] The supply management execution plan determination module 60 is used to perform supply evaluation on the supply alternative plans according to the power demand information and the supply priority, and determine the supply management execution plan. The supply management execution plan is used to execute and control the output connection relationship and output parameters of the mobile charging and discharging equipment.

[0094] Furthermore, the power demand information acquisition module 20 also includes:

[0095] A load time series characteristic determination unit is used to determine the load time series characteristics according to the application scenario of the emergency equipment, and the load time series characteristics include continuous load characteristics and intermittent load characteristics.

[0096] A load constraint feature acquisition unit, wherein the load constraint feature acquisition unit is used to analyze the operating load of the emergency equipment according to the load time series characteristics, and obtain the load constraint characteristics of each time series, wherein the load constraint characteristics represent the minimum power demand of the emergency equipment under the operating load.

[0097] A power feature acquisition unit is used to acquire the voltage level, current, and power of the emergency equipment as the power feature.

[0098] The emergency prediction duration acquisition unit is used to acquire the emergency prediction duration, and determine the demand according to the emergency prediction duration and the power characteristics.

[0099] A power demand information acquisition unit is configured to perform feature identification on the demand based on the load time series characteristics and the load constraint characteristics to obtain the power demand information.

[0100] Furthermore, the power demand information acquisition unit further includes:

[0101] The working state monitoring data acquisition unit is used to collect working state monitoring data of multiple emergency equipment and fit the load change relationship of working power over time.

[0102] A load peak extraction unit is used to extract the load peak according to the load change relationship and locate the working state stage of the emergency equipment based on the load peak.

[0103] A startup limit threshold value acquisition unit is used to acquire a startup limit threshold value when the working state stage is an initial load startup stage.

[0104] A mandatory constraint setting unit is used to set a mandatory constraint using the startup restriction threshold and fit it into the power demand information.

[0105] Furthermore, the supply alternative solution acquisition module 50 further includes:

[0106] A mandatory matching relationship determination unit is used to use the mandatory constraint as a first matching order, traverse the demand corresponding to the mandatory constraint and the supply parameters in the power supply parameter list to determine the mandatory matching relationship.

[0107] A continuous supply matching relationship determination unit is used to use the continuous load feature as a second matching order, traverse the demand of the continuous load feature and the supply parameters in the power supply parameter list to determine the continuous supply matching relationship.

[0108] An intermittent supply matching relationship determination unit is used to use the intermittent load feature as a third matching order, traverse the requirements of the intermittent load feature and the supply parameters in the power supply parameter list to determine the intermittent supply matching relationship.

[0109] A tower-type matching relationship network construction unit is used to construct a tower-type matching relationship network based on the mandatory matching relationship, the continuous supply matching relationship, and the intermittent supply matching relationship in a matching order sequence to obtain the demand-supply matching relationship.

[0110] Furthermore, the demand-supply matching relationship establishing module 40 further includes:

[0111] A supply and demand relationship knowledge graph construction unit is provided, wherein the supply and demand relationship knowledge graph construction unit constructs a supply and demand relationship knowledge graph based on the tower-type matching relationship network, wherein the nodes are the power demand information and power supply parameters of multiple emergency equipment, and the node relationships include forced matching, continuous matching, and intermittent matching as the edges of the graph.

[0112] A search constraint condition establishing unit is used to configure the search weights of various matching relationships in the demand-supply matching relationship, and to establish search constraints with the power supply parameter list, the search weights, and the power demand information.

[0113] A supply alternative scheme obtaining unit, the supply alternative scheme obtaining unit is used to search for supply schemes through the supply and demand relationship knowledge graph according to the search constraints to obtain the supply alternative schemes, the supply alternative schemes including multiple power output control schemes that meet the capacities in the power supply parameter list and the power requirements of multiple emergency equipment and comply with the mandatory matching.

[0114] Furthermore, the supply management execution plan determination module 60 also includes:

[0115] A supply weight acquisition unit is used to quantify the weight according to the supply priority to obtain the supply weight.

[0116] A rating function construction unit is used to construct a rating function with the power demand information as a basic target and with the supply result of the supply plan and the loss value of the basic target being minimized as a target.

[0117] A supply alternative scheme evaluation unit is used to construct an evaluation model according to the supply weight and the rating function, evaluate the supply alternative schemes through the constructed evaluation model, and select the scheme with the largest evaluation result as the supply management execution scheme.

[0118] Furthermore, the supply management execution plan determination module 60 also includes:

[0119] A priority difference determination unit is used to determine the priority difference according to the supply priority.

[0120] The first priority extraction unit is used to extract the first priority when the priority difference reaches a preset difference or the supply priority reaches a priority threshold, and the first priority is the emergency equipment with the highest priority.

[0121] A first supply solution extracting unit is configured to extract a first supply solution for a first emergency device from the supply alternative solutions based on the first priority.

[0122] A remaining supply amount determining unit is used to determine the remaining supply amount of the mobile charging and discharging device according to the first supply scheme.

[0123] A supply management execution plan acquisition unit is used to quantify the weights according to the supply priorities of the remaining emergency equipment, screen the supply alternatives based on the allocated weights and the remaining supply quantity, and obtain the supply management execution plan.

[0124] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0125] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0126] This specification and the drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. Emergency power supply management method based on mobile charging and discharging equipment, characterized in that: The emergency power supply management method based on mobile charging and discharging equipment includes: Analyze the power output parameters of mobile charging and discharging equipment and construct a list of power supply parameters, including voltage level, current, power, frequency, and capacity; Obtaining power demand information of multiple emergency devices, wherein the power demand information is multi-dimensional description information of load constraint characteristics, demand quantity, and power characteristics of power demand parameters of multiple emergency devices respectively; Perform load priority evaluation according to the supply terminal characteristics of the multiple emergency devices, and configure the supply priority of each emergency device; According to the power demand information, matching is performed with the power supply parameter list to establish a demand-supply matching relationship, wherein the demand-supply matching relationship includes a matching relationship between the description information of each dimension in all the power demand information and each parameter in the power supply parameter, wherein the matching relationship includes one or more corresponding relationships among one-to-one, one-to-many, and many-to-one; Searching for supply solutions based on the demand-supply matching relationship to obtain supply alternative solutions; The supply alternatives are evaluated according to the power demand information and the supply priority, and a supply management execution plan is determined. The supply management execution plan is used to execute and control the output connection relationship and output parameters of the mobile charging and discharging device.

2. The method for emergency power supply management based on mobile charging and discharging equipment according to claim 1, characterized in that: The obtaining of power demand information of multiple emergency equipment includes: According to the load time series characteristics of the emergency equipment application scenario, the load time series characteristics include continuous load characteristics and intermittent load characteristics; Analyze the operating load of the emergency equipment according to the load time series characteristics to obtain the load constraint characteristics of each time series, wherein the load constraint characteristics represent the minimum power demand of the emergency equipment under the operating load; Acquiring the voltage level, current, and power of the emergency equipment as the power characteristics; Obtaining an emergency forecast duration, and determining demand according to the emergency forecast duration and the power characteristics; The demand quantity is characterized based on the load time series characteristics and the load constraint characteristics to obtain the power demand information.

3. The method for emergency power supply management based on mobile charging and discharging equipment according to claim 2, characterized in that: The obtaining of the power demand information comprises: Collect the working status monitoring data of multiple emergency equipment and fit the load variation relationship of working power over time; Extracting a load peak value according to the load variation relationship, and locating a working state stage of the emergency equipment based on the load peak value; When the working state stage is the initial load startup stage, obtaining a startup limit threshold; The startup limit threshold is used to set a mandatory constraint, which is fitted into the power demand information.

4. The method for emergency power supply management based on mobile charging and discharging equipment according to claim 3, characterized in that: Matching the power demand information with the power supply parameter list to establish a demand-supply matching relationship includes: Taking the mandatory constraint as the first matching priority, traversing the demand corresponding to the mandatory constraint and the supply parameters in the power supply parameter list to determine a mandatory matching relationship; Taking the continuous load feature as the second matching priority, traversing the demand of the continuous load feature and the supply parameters in the power supply parameter list to determine a continuous supply matching relationship; Taking the intermittent load feature as the third matching priority, traversing the requirements of the intermittent load feature and the supply parameters in the power supply parameter list to determine an intermittent supply matching relationship; Based on the mandatory matching relationship, the continuous supply matching relationship, and the intermittent supply matching relationship, a tower-shaped matching relationship network is constructed in accordance with a matching order sequence to obtain the demand-supply matching relationship.

5. The method for managing emergency power supply based on mobile charging and discharging equipment according to claim 4, characterized in that: Supply scheme search is performed based on the demand-supply matching relationship to obtain supply alternatives, including: Based on the tower-type matching relationship network, a supply-demand relationship knowledge graph is constructed, in which the nodes are the power demand information and power supply parameters of multiple emergency equipment, and the node relationships include mandatory matching, continuous matching, and intermittent matching as the edges of the graph; Configuring search weights for various types of matching relationships in the demand-supply matching relationship, and establishing search constraints with the power supply parameter list, the search weights, and power demand information; According to the search constraints, a supply plan search is performed through the supply and demand relationship knowledge graph to obtain the supply alternative plans, which include multiple power output control plans that meet the capacities in the power supply parameter list and the power requirements of multiple emergency equipment and comply with the mandatory matching.

6. The method for managing emergency power supply based on mobile charging and discharging equipment according to claim 1, characterized in that: The supply alternative scheme is evaluated according to the power demand information and the supply priority, and a supply management execution scheme is determined, including: quantifying the weights according to the supply priorities to obtain supply weights; Taking the power demand information as the basic target and taking the supply result of the supply plan and the loss value of the basic target as the minimum as the goal, a rating function is constructed; An evaluation model is constructed according to the supply weight and the rating function, the supply alternatives are evaluated through the constructed evaluation model, and the plan with the largest evaluation result is selected as the supply management execution plan.

7. The method for managing emergency power supply based on mobile charging and discharging equipment according to claim 6, characterized in that: The supply management implementation plan is determined by evaluating the supply alternative plan according to the power demand information and the supply priority, and further comprising: Determining a priority difference according to the supply priority; When the priority difference reaches a preset difference or the supply priority reaches a priority threshold, extracting a first priority, the first priority being the emergency equipment with the highest priority; Based on the first priority, extracting a first supply solution for the first emergency equipment from the supply alternative solutions; Determine the remaining supply amount of the mobile charging and discharging device according to the first supply plan; The weights are quantified according to the supply priorities of the remaining emergency equipment, and supply alternatives are screened based on the allocated weights and the remaining supply quantities to obtain the supply management execution plan.

8. Emergency power supply management system based on mobile charging and discharging equipment, characterized in that: The emergency power supply management system based on mobile charging and discharging equipment includes: A power supply parameter list construction module, which is used to parse the power output parameters of the mobile charging and discharging device and construct a power supply parameter list, including voltage level, current, power, frequency, and capacity; A power demand information acquisition module, which is used to obtain power demand information of multiple emergency devices, wherein the power demand information is multi-dimensional description information of load constraint characteristics, demand quantity, and power characteristics of power demand parameters of multiple emergency devices; A supply priority configuration module, the supply priority configuration module is used to evaluate the load priority according to the supply terminal characteristics of the multiple emergency devices and configure the supply priority of each emergency device; A demand-supply matching relationship establishment module, the demand-supply matching relationship establishment module is used to match the power demand information with the power supply parameter list to establish a demand-supply matching relationship, the demand-supply matching relationship includes the matching relationship between the description information of each dimension in all the power demand information and each parameter in the power supply parameter, wherein the matching relationship includes one or more corresponding relationships among one-to-one, one-to-many, and many-to-one; A supply alternative solution acquisition module, wherein the supply alternative solution acquisition module searches for supply solutions based on the demand-supply matching relationship to obtain supply alternative solutions; A supply management execution plan determination module, the supply management execution plan determination module is used to perform supply evaluation on the supply alternative plans according to the power demand information and the supply priority, and determine the supply management execution plan, the supply management execution plan is used to execute control on the output connection relationship and output parameters of the mobile charging and discharging equipment.

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