Direct current reserve material quota management method and system based on power shortage cost and terminal

Abstract

The application relates to the technical field of material management, and discloses a direct-current reserve material quota management method, system and terminal based on a power shortage cost, which comprises the following steps: acquiring the power shortage cost, acquiring the type of direct-current reserve material, acquiring the reserve material quota, managing the direct-current reserve material and performing data mining. The system and the terminal correspond to the method. According to the application, the accurate evaluation of power shortage is realized by acquiring the power shortage cost, the required material type is accurately determined according to the specific properties and performance characteristics of the direct-current system by acquiring the reserve material type, the material pertinence is improved, the scientific quota formulation for ensuring the normal operation of the direct-current system under the condition of power shortage is realized by further acquiring the reserve material quota, the material is managed by using the reserve material quota, the material management efficiency is improved, the dynamic grasp of the power shortage and the material situation is realized by continuously monitoring and performing data mining, the management method is continuously optimized, and the adaptability and effectiveness are improved.

Description

Technical Field

[0001] This application relates to the field of materials management technology, specifically to a method, system, and terminal for DC reserve materials quota management based on power shortage costs. Background Technology

[0002] As modern society becomes increasingly reliant on electricity, the stability of the power supply is of paramount importance.

[0003] In DC power systems, power shortages can have severe impacts on various sectors. The inventors discovered numerous problems in the management of DC reserve materials for use in power shortage situations in DC power systems, particularly in quota management, as follows:

[0004] 1. Traditional reserve material management lacks accurate quantification of power shortage costs, and cannot clearly understand the economic losses, social impacts and other adverse consequences caused by power shortages, resulting in a lack of scientific basis when determining the quantity and type of reserve materials.

[0005] 2. The analysis of DC system characteristics is not in-depth enough, and the required reserve materials cannot be accurately determined based on the specific attributes and performance characteristics of the system, which may lead to mismatch of materials or over-stocking or under-stocking.

[0006] 3. During the management process, there is a lack of effective real-time monitoring methods, making it impossible to keep track of changes in power shortages and material usage in a timely manner. It is also difficult to dynamically adjust the reserve material quotas. Furthermore, the data from each link is isolated from each other, making it impossible to achieve information sharing and collaborative management, which affects management efficiency and the accuracy of decision-making.

[0007] In summary, there is an urgent need for a new technical solution for DC reserve material quota based on power shortage costs, in order to solve the problems existing in the current quota management, improve the scientificity, effectiveness and timeliness of DC reserve material management, and ensure that the DC system can operate normally under power shortage conditions. Summary of the Invention

[0008] The purpose of this application is to provide a method, system, and terminal for DC reserve material quota management based on power shortage costs, so as to solve the technical problems mentioned in the background art.

[0009] To achieve the above objectives, this application discloses the following technical solutions:

[0010] Firstly, this application discloses a method for managing the quota of DC reserve materials based on the cost of power shortages, the method comprising:

[0011] S1: Determine and quantify the impact of power shortages to obtain power shortage costs; wherein, the power shortage cost is a value obtained by quantifying the adverse effects of power shortages on various aspects;

[0012] S2: Analyze the demand of the DC system, determine the characteristics of the DC system, and use these characteristics to obtain the types of DC reserve materials; wherein, the DC system characteristics refer to the specific attributes and performance features of the DC power system;

[0013] S3: Based on the power shortage cost, the characteristics of the DC system, and the DC reserve materials, determine the type and quantity of the DC reserve materials and obtain the reserve material quota; the reserve material quota is the standard for the determined type and quantity of DC reserve materials, and the reserve material quota is obtained based on ensuring the normal operation of the DC system under power shortage conditions;

[0014] S4: Manage DC reserve materials using the aforementioned reserve material quotas;

[0015] S5: Continuously monitor power shortages and material usage, repeat steps S1 to S4, and perform data mining.

[0016] Preferably, the process of obtaining the power shortage cost is as follows:

[0017] Collect historical data on various sectors during periods of power shortage;

[0018] By using data statistical analysis techniques to quantify the collected historical data on power shortages in various fields, the power shortage cost is obtained.

[0019] Preferably, the process of acquiring the DC reserve materials is as follows:

[0020] Collect historical DC demand and historical DC system operating data;

[0021] The historical DC demand collected is analyzed using system analysis tools, and the characteristic parameters of the DC system under different operating conditions are determined by combining the historical DC system operation data collected. These characteristic parameters include at least the voltage fluctuation range and current load variation.

[0022] Based on the aforementioned characteristic parameters, the type of DC reserve materials is determined.

[0023] Preferably, the process of obtaining the reserve material quota is as follows:

[0024] Collect historical data on various sectors during power outages and corresponding historical DC system operation data at those times; among which, the historical data on various sectors during power outages should at least include the usage of DC reserve materials during historical power outage events, and the historical DC system operation data should at least include data on voltage, current, and power.

[0025] Machine learning techniques are used to classify different types of power shortages and DC system characteristics;

[0026] Based on the classification results of different types of power shortages and DC system characteristics, a correlation is established between power shortage costs and the type and quantity of DC reserve materials.

[0027] The aforementioned relationships are stored in a pre-set material quota model pre-trained using deep learning.

[0028] The material quota model is run to receive the power shortage cost and output the type and quantity of the corresponding DC reserve materials to obtain the reserve material quota.

[0029] Preferably, the management of DC reserve materials specifically includes:

[0030] Using a pre-set information management system, DC reserve materials are classified, stored, monitored, and managed for entry and exit based on the reserve material quota.

[0031] Preferably, the monitoring of power shortage in the continuous monitoring of power shortage and material usage specifically includes:

[0032] Real-time monitoring of DC systems using a power monitoring sensor network;

[0033] When there is a power outage, execute steps S1 to S4.

[0034] Preferably, the monitoring of material usage in the continuous monitoring of power shortage and material usage specifically includes:

[0035] The usage of resources is monitored using a pre-defined resource sharing platform, wherein the specific operation of the resource sharing platform is as follows:

[0036] The system acquires power shortage costs, DC characteristics, and material management data from an information management system corresponding to the quota of reserve materials from multiple channels, and outputs the data to an administrator with the corresponding permissions. The channels for acquiring power shortage costs include at least power monitoring equipment, enterprise production data statistics systems, and data collection points from social public service departments. The material management data includes at least the integrated information on the types, quantities, inbound and outbound records, and inventory status of the materials.

[0037] Preferably, the data mining specifically includes:

[0038] Data analysis techniques are used to mine the data generated during repeated execution of steps S1 to S4 to obtain corresponding updated data; wherein, the updated data is used to update the acquisition of power shortage costs, the acquisition of DC reserve material types, the acquisition of reserve material quotas, and the management of DC reserve materials in steps S1 to S4.

[0039] Secondly, this application discloses a DC reserve material quota management system based on power shortage costs. This system is applicable to the DC reserve material quota management method based on power shortage costs described above. The system includes:

[0040] The cost acquisition module is configured to: determine and quantify the impact of power shortage, and acquire the cost of power shortage; wherein, the cost of power shortage is a value obtained by quantifying the adverse effects of power shortage on various aspects;

[0041] The type acquisition module is configured to: analyze DC system demand, determine DC system characteristics, and use these DC system characteristics to acquire the type of DC reserve materials; wherein, the DC system characteristics refer to the specific attributes and performance features of a DC power system.

[0042] A quota acquisition module is configured to: determine the type and quantity of DC reserve materials based on the power shortage cost, the characteristics of the DC system, and the DC reserve materials, and acquire a reserve material quota; the reserve material quota is a standard for the determined type and quantity of DC reserve materials, and the reserve material quota is obtained based on ensuring the normal operation of the DC system under power shortage conditions;

[0043] The first material management module is configured to manage DC reserve materials using the reserve material quota.

[0044] The second material management module is configured to continuously monitor power shortages and material usage, and repeatedly run the cost acquisition module, the type acquisition module, the quota acquisition module, and the first material management module.

[0045] Thirdly, this application discloses a terminal device, including: at least one processor and at least one memory, the memory being communicatively connected to the processor; the memory storing a computer program executable by the processor, wherein when the computer program is executed by the processor, the DC reserve material quota management method based on power shortage cost as described above is implemented.

[0046] Beneficial Effects: The DC reserve material quota management method, system, and terminal based on power shortage cost proposed in this application achieve accurate assessment of the adverse effects of power shortages by determining the impact of power shortages and quantifying the cost of power shortages. This provides a key data foundation for the subsequent determination of reserve material quotas. By analyzing the characteristics of DC system demand and obtaining the types of reserve materials, it enables precise determination of the required material types based on the specific attributes and performance characteristics of the DC system, improving the targeting of materials. Furthermore, based on power shortage costs, system characteristics, and existing materials, it determines the type and quantity of reserve materials and obtains reserve material quotas. This achieves scientific quota formulation to ensure the normal operation of the DC system under power shortage conditions. Then, by using the reserve material quotas to manage materials, it achieves efficient management of DC reserve materials, improving material availability and management efficiency. Finally, continuous monitoring and data mining enable dynamic understanding of power shortage and material status, continuously optimizing management methods and improving adaptability and effectiveness. Attached Figure Description

[0047] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0048] Figure 1 A flowchart illustrating the DC reserve material quota management method based on power shortage costs provided in this application embodiment;

[0049] Figure 2 This is a structural block diagram of a DC reserve material quota management system based on power shortage costs, provided in an embodiment of this application. Detailed Implementation

[0050] The technical solutions in the embodiments of this application will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of this application.

[0051] In this document, the term "comprising" is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0052] This embodiment discloses, in its first aspect, as follows: Figure 1 The method shown is a quota management method for DC reserve materials based on power shortage costs. The method includes:

[0053] S1: Determine and quantify the impact of power shortages to obtain power shortage costs; where power shortage costs are the numerical values ​​obtained after quantifying the adverse effects of power shortages on various aspects.

[0054] S2: Analyze the demand of the DC system, determine the characteristics of the DC system, and use these characteristics to obtain the types of DC reserve materials; among which, the DC system characteristics are the specific attributes and performance characteristics of the DC power system.

[0055] S3: Based on the cost of power shortage, the characteristics of the DC system, and the DC reserve materials, determine the type and quantity of DC reserve materials and obtain the reserve material quota; the reserve material quota is the standard for the determined types and quantities of DC reserve materials, and the reserve material quota is based on ensuring the normal operation of the DC system under power shortage conditions;

[0056] S4: Manage DC reserve materials using reserve material quotas;

[0057] S5: Continuously monitor power shortages and material usage, repeat steps S1 to S4, and perform data mining.

[0058] Based on the above, this embodiment achieves an accurate assessment of the adverse effects of power outages by determining the impact and quantifying their costs. This provides a crucial data foundation for determining the quotas of reserve materials. By analyzing the characteristics of DC system demand and obtaining the types of reserve materials, it enables precise determination of the required material types based on the specific attributes and performance characteristics of the DC system, improving the targeting of materials. Furthermore, based on the cost of power outages, system characteristics, and existing materials, it determines the type and quantity of reserve materials and obtains reserve material quotas. This achieves scientific quota setting to ensure the normal operation of the DC system under power outage conditions. Then, by using the reserve material quotas to manage materials, it achieves efficient management of DC reserve materials, improving material availability and management efficiency. Finally, continuous monitoring and data mining enable dynamic understanding of power outages and material conditions, continuously optimizing management methods and improving adaptability and effectiveness.

[0059] Specifically, the process of obtaining the cost of power shortages is as follows:

[0060] Collect historical data on various sectors during periods of power shortage;

[0061] By using data statistical analysis techniques to quantify the collected historical data on power shortages in various fields, the cost of power shortages can be obtained.

[0062] In one specific application, power companies collect data from various fields, such as electricity consumption data and economic loss data of different users during historical power outages. For example, they collect data on the decline in industrial output and the business losses of commercial establishments during several large-scale power outages in a certain region in the past. Then, they use data statistical analysis technology to quantify these data and obtain the cost of power outages.

[0063] Based on the above, this embodiment achieves the scientific quantification of power shortage costs by collecting historical data and performing statistical analysis, making the determination of power shortage costs more accurate and reliable.

[0064] Specifically, the process of acquiring DC reserve materials is as follows:

[0065] Collect historical DC demand and historical DC system operating data;

[0066] The historical DC demand collected is analyzed using system analysis tools, and the characteristic parameters of the DC system under different operating conditions are determined by combining the historical DC system operation data collected. These characteristic parameters include at least the voltage fluctuation range and current load variation.

[0067] Based on characteristic parameters, the type of DC storage materials is determined.

[0068] In a specific application, when managing a DC power system, historical DC demand and historical DC system operation data are collected. For example, data on DC power demand at different production stages in the past, as well as voltage and current records during system operation, are collected. Existing system analysis tools are used to analyze the collected historical DC demand, and combined with historical DC system operation data, the characteristic parameters of the DC system under different operating conditions are determined. For example, if it is found that the voltage fluctuation range is large and the current load changes frequently during certain periods, the types of DC reserve materials such as voltage stabilizing equipment and high-capacity cables are determined based on these characteristic parameters.

[0069] Based on the above, this embodiment uses the analysis of historical data to determine the characteristic parameters of the DC system, thereby achieving the goal of accurately determining the type of DC reserve materials and improving the targeting of DC reserve materials.

[0070] Specifically, the process of obtaining reserve material quotas is as follows:

[0071] Collect historical data on various sectors during power outages and corresponding historical DC system operation data at those times; among which, the historical data on various sectors during power outages should at least include the usage of DC reserve materials during historical power outage events, and the historical DC system operation data should at least include data on voltage, current, and power.

[0072] Machine learning techniques are used to classify different types of power shortages and DC system characteristics;

[0073] Based on the classification results of different types of power shortages and DC system characteristics, a correlation is established between power shortage costs and the type and quantity of DC reserve materials.

[0074] The relationships are stored in a pre-set material quota model that is pre-trained using deep learning.

[0075] The operating material quota model receives the power shortage cost and outputs the corresponding DC reserve material type and quantity to obtain the reserve material quota.

[0076] In one specific application, existing large-scale data centers are used to manage DC power systems, collecting historical data on various aspects during power outages and corresponding historical DC system operation data, such as the usage duration of backup power supplies, power consumption of different devices, and voltage, current, and power data during historical power outages. Existing machine learning techniques are used to classify different types of power outages and DC system characteristics, such as mild power outages with low system load and severe power outages with high system load. Based on the classification results, a correlation is established between power outage costs and the type and quantity of DC reserve materials, and this correlation is stored in a pre-set material quota model pre-trained using existing deep learning. When a new power outage occurs, the model receives power outage cost information, outputs the corresponding type and quantity of DC reserve materials, and obtains the reserve material quota.

[0077] Through the above, this embodiment realizes the function of accurately determining the quota of reserve materials according to different power shortage situations and DC system characteristics, thereby improving the scientificity and rationality of DC reserve material quotas.

[0078] Specifically, the management of DC reserve materials includes:

[0079] Using a pre-set information management system, DC reserve materials are classified, stored, monitored, and managed for entry and exit based on reserve material quotas.

[0080] In one specific application, a unit's DC power system utilizes a pre-existing information management system to classify and store DC reserve materials based on reserve material quotas, such as storing batteries and inverters separately; it performs status monitoring to understand the power and performance status of the materials in real time; and it manages inbound and outbound operations, recording the entry and exit of materials. For example, each type of DC reserve material is equipped with an electronic tag, such as a radio frequency identification (RFID) tag. Through RFID reading and writing devices, information such as the entry and exit of materials, usage location, and usage time can be recorded in real time. Simultaneously, a material usage database is established to store and manage this information. Using data analysis technology, the material usage data is analyzed to understand the usage frequency and consumption rate of different types of materials. In the event of an emergency, the required materials can be quickly and accurately located and allocated.

[0081] Based on the above, this embodiment utilizes an information management system to achieve efficient management of DC reserve materials, thereby improving the availability and management efficiency of DC reserve materials.

[0082] Specifically, the monitoring of power shortages and the use of materials involves the following:

[0083] Real-time monitoring of DC systems using a power monitoring sensor network;

[0084] When there is a power outage, execute steps S1 to S4.

[0085] In one specific application, urban power grid management departments use power monitoring sensor networks to monitor DC systems in real time. For example, sensors are installed at key nodes such as substations and important transmission lines to collect data such as voltage and current in real time. When abnormal data is detected, such as voltage being lower than the safety threshold, it is determined that there is a power shortage. Steps S1 to S4 are immediately executed to reassess the cost of the power shortage and the quota of reserve materials.

[0086] Based on the above, this embodiment utilizes a power monitoring sensor network to achieve timely monitoring of power shortages, ensuring a rapid response to power shortage events and adjusting DC reserve material management strategies.

[0087] Specifically, the continuous monitoring of power shortages and material usage includes monitoring the use of materials, specifically:

[0088] The use of resources is monitored using a pre-defined resource sharing platform. The specific operation of this platform includes:

[0089] Acquire power shortage costs, DC characteristics, and material management data from information management systems corresponding to reserve material quotas from multiple channels, and output them to administrators with corresponding permissions; among them, the channels for power shortage costs include at least power monitoring equipment, enterprise production data statistics systems, and data collection points of social public service departments, and the material management data includes at least the integrated information such as the types, quantities, inbound and outbound records, and inventory status of materials.

[0090] In one specific application, enterprises utilize a pre-set, existing material sharing platform to monitor the usage of DC reserve materials. This platform acquires real-time data on power shortage costs, DC characteristics, and material management data from an information management system corresponding to reserve material quotas from multiple channels. For example, it obtains real-time power data from power monitoring equipment, understands changes in production demand for electricity from the enterprise's production data statistics system, and obtains the impact of macroeconomic data on enterprise electricity consumption from data collection points of social public service departments. Furthermore, it integrates information such as the type, quantity, inbound and outbound records, and inventory status of materials from the information management system and outputs it to administrators with corresponding permissions to adjust material reserve strategies in a timely manner.

[0091] Through the above, this embodiment utilizes a material sharing platform to integrate and share data from multiple channels, providing comprehensive and accurate data support for monitoring the usage of DC reserve materials and improving the scientific nature of management decisions.

[0092] Specifically, data mining includes:

[0093] Data analysis techniques are used to mine the data generated during repeated execution of steps S1 to S4 to obtain corresponding updated data. The updated data is used to update the acquisition of power shortage costs, the acquisition of DC reserve material types, the acquisition of reserve material quotas, and the management of DC reserve materials in steps S1 to S4.

[0094] In a specific application, when analyzing management data from multiple DC power systems, existing data analysis techniques are used to mine the data generated during the repeated execution of steps S1 to S4. For example, this involves analyzing the usage frequency of various reserve materials under different levels of power shortage, the changing trends of power shortage costs and material quotas, etc., to obtain corresponding updated data. This updated data is used to update the acquisition of power shortage costs, the types of DC reserve materials, the quotas of reserve materials, and the management of DC reserve materials in steps S1 to S4, thereby continuously optimizing the management method.

[0095] Based on the above, this embodiment utilizes data mining technology to continuously optimize the management method, thereby improving the method's adaptability and effectiveness.

[0096] This embodiment discloses, in a second aspect, as follows: Figure 2 The system shown is a DC reserve material quota management system based on power shortage costs. This system is applicable to the above-mentioned DC reserve material quota management method based on power shortage costs. The system includes:

[0097] The cost acquisition module is configured to: determine and quantify the impact of power shortages, and acquire the cost of power shortages; wherein, the cost of power shortages is a value obtained by quantifying the adverse effects of power shortages on various aspects.

[0098] The type acquisition module is configured to: analyze DC system requirements, determine DC system characteristics, and use these DC system characteristics to acquire the type of DC reserve materials; wherein, the DC system characteristics refer to the specific attributes and performance characteristics of the DC power system.

[0099] The quota acquisition module is configured to: determine the type and quantity of DC reserve materials based on power shortage costs, DC system characteristics, and DC reserve materials, and acquire reserve material quotas; the reserve material quotas are the determined standards for the types and quantities of DC reserve materials, and are obtained based on ensuring the normal operation of the DC system under power shortage conditions;

[0100] The first material management module is configured to manage DC reserve materials using reserve material quotas.

[0101] The second material management module is configured to continuously monitor power shortages and material usage, and includes a recurring cost acquisition module, a type acquisition module, a quota acquisition module, and the first material management module.

[0102] It should be noted that the DC reserve material quota management system based on power shortage cost in this embodiment corresponds to the DC reserve material quota management method based on power shortage cost mentioned above. Therefore, the contents not specifically described in the DC reserve material quota management system based on power shortage cost in this embodiment may include, but are not limited to, functional definitions, working principles and technical effects, etc., and can be referred to the DC reserve material quota management method based on power shortage cost mentioned above. This text will not elaborate on these contents here.

[0103] This embodiment discloses a terminal device in a third aspect, including: at least one processor and at least one memory, the memory being communicatively connected to the processor; the memory stores a computer program that can be executed by the processor, and when the computer program is executed by the processor, the above-mentioned DC reserve material quota management method based on power shortage cost is implemented.

[0104] Similarly, it should be noted that the terminal device in this embodiment corresponds to the DC reserve material quota management method based on power shortage cost mentioned above. Therefore, the contents not specifically described in the terminal device of this embodiment may include, but are not limited to, functional definitions, working principles and technical effects, etc., and can be referred to the DC reserve material quota management method based on power shortage cost mentioned above. This text will not elaborate on these contents here.

[0105] In summary, the DC reserve material quota management method, system, and terminal based on power shortage costs in this embodiment accurately assesses the adverse effects of power shortages by determining their impact and quantifying their costs. This provides a crucial data foundation for determining subsequent reserve material quotas. By analyzing DC system demand to determine characteristics and obtain reserve material types, it enables precise determination of required material types based on the specific attributes and performance characteristics of the DC system, improving the targeting of materials. Furthermore, based on power shortage costs, system characteristics, and existing materials, it determines the type and quantity of reserve materials and obtains reserve material quotas. This achieves scientific quota setting to ensure the normal operation of the DC system under power shortage conditions. The management of materials using reserve material quotas then achieves efficient management of DC reserve materials, improving material availability and management efficiency. Finally, continuous monitoring and data mining enable dynamic understanding of power shortage and material conditions, continuously optimizing management methods and improving adaptability and effectiveness.

[0106] In the embodiments provided in this application, it should be understood that the embodiments described herein can be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For hardware implementation, the processor may be implemented in one or more of the following: application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field-programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, other electronic units designed to implement the functions described herein, or combinations thereof. For software implementation, some or all of the processes of the embodiments may be performed by a computer program instructing the associated hardware. During implementation, the program may be stored in a computer-readable storage medium or transmitted as one or more instructions or code on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein communication media include any medium that facilitates the transmission of a computer program from one place to another. Storage media may be any available medium accessible to a computer. Computer-readable storage media may include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code having the form of instructions or data structures and accessible to a computer.

[0107] Finally, it should be noted that the above description is only a preferred embodiment of this application and is not intended to limit this application. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for quota management of DC reserve materials based on power shortage costs, characterized in that, The method includes: S1: Determine and quantify the impact of power shortages to obtain power shortage costs; wherein, the power shortage cost is a value obtained by quantifying the adverse effects of power shortages on various aspects; S2: Analyze the demand of the DC system, determine the characteristics of the DC system, and use these characteristics to obtain the types of DC reserve materials; wherein, the DC system characteristics refer to the specific attributes and performance features of the DC power system; S3: Based on the power shortage cost, the characteristics of the DC system, and the DC reserve materials, determine the type and quantity of the DC reserve materials and obtain the reserve material quota; the reserve material quota is the standard for the determined type and quantity of DC reserve materials, and the reserve material quota is obtained based on ensuring the normal operation of the DC system under power shortage conditions; S4: Manage DC reserve materials using the aforementioned reserve material quotas; S5: Continuously monitor power shortages and material usage, repeat steps S1 to S4, and perform data mining.

2. The method for quota management of DC reserve materials based on power shortage costs according to claim 1, characterized in that, The process of obtaining the power shortage cost is as follows: Collect historical data on various sectors during periods of power shortage; By using data statistical analysis techniques to quantify the collected historical data on power shortages in various fields, the power shortage cost is obtained.

3. The method for quota management of DC reserve materials based on power shortage costs according to claim 1, characterized in that, The process of acquiring the DC reserve materials is as follows: Collect historical DC demand and historical DC system operating data; The historical DC demand collected is analyzed using system analysis tools, and the characteristic parameters of the DC system under different operating conditions are determined by combining the historical DC system operation data collected. These characteristic parameters include at least the voltage fluctuation range and current load variation. Based on the aforementioned characteristic parameters, the type of DC reserve materials is determined.

4. The method for managing DC reserve materials based on power shortage costs according to claim 1, characterized in that, The process of obtaining the quota for the reserve materials is as follows: Collect historical data on various sectors during power outages and corresponding historical DC system operation data at those times; among which, the historical data on various sectors during power outages should at least include the usage of DC reserve materials during historical power outage events, and the historical DC system operation data should at least include data on voltage, current, and power. Machine learning techniques are used to classify different types of power shortages and DC system characteristics; Based on the classification results of different types of power shortages and DC system characteristics, a correlation is established between power shortage costs and the type and quantity of DC reserve materials. The aforementioned relationships are stored in a pre-set material quota model pre-trained using deep learning. The material quota model is run to receive the power shortage cost and output the type and quantity of the corresponding DC reserve materials to obtain the reserve material quota.

5. The method for quota management of DC reserve materials based on power shortage costs according to claim 1, characterized in that, The management of DC reserve materials specifically includes: Using a pre-set information management system, DC reserve materials are classified, stored, monitored, and managed for entry and exit based on the reserve material quota.

6. The method for quota management of DC reserve materials based on power shortage costs according to claim 1, characterized in that, The monitoring of power shortages in the continuous monitoring of power shortages and material usage specifically refers to: Real-time monitoring of DC systems using a power monitoring sensor network; When there is a power outage, execute steps S1 to S4.

7. The method for quota management of DC reserve materials based on power shortage costs according to claim 5, characterized in that, The monitoring of material usage in the continuous monitoring of power shortages and material usage specifically refers to: The usage of resources is monitored using a pre-defined resource sharing platform, wherein the specific operation of the resource sharing platform is as follows: The system acquires power shortage costs, DC characteristics, and material management data from an information management system corresponding to the quota of reserve materials from multiple channels, and outputs the data to an administrator with the corresponding permissions. The channels for acquiring power shortage costs include at least power monitoring equipment, enterprise production data statistics systems, and data collection points from social public service departments. The material management data includes at least the integrated information on the types, quantities, inbound and outbound records, and inventory status of the materials.

8. The method for quota management of DC reserve materials based on power shortage costs according to claim 1, characterized in that, The data mining specifically includes: Data analysis techniques are used to mine the data generated during repeated execution of steps S1 to S4 to obtain corresponding updated data; wherein, the updated data is used to update the acquisition of power shortage costs, the acquisition of DC reserve material types, the acquisition of reserve material quotas, and the management of DC reserve materials in steps S1 to S4.

9. A DC reserve material quota management system based on power shortage costs, wherein the system is applicable to the DC reserve material quota management method based on power shortage costs as described in any one of claims 1-8, characterized in that, The system includes: The cost acquisition module is configured to: determine and quantify the impact of power shortage, and acquire the cost of power shortage; wherein, the cost of power shortage is a value obtained by quantifying the adverse effects of power shortage on various aspects; The type acquisition module is configured to: analyze DC system demand, determine DC system characteristics, and use these DC system characteristics to acquire the type of DC reserve materials; wherein, the DC system characteristics refer to the specific attributes and performance features of a DC power system. A quota acquisition module is configured to: determine the type and quantity of DC reserve materials based on the power shortage cost, the characteristics of the DC system, and the DC reserve materials, and acquire a reserve material quota; the reserve material quota is a standard for the determined type and quantity of DC reserve materials, and the reserve material quota is obtained based on ensuring the normal operation of the DC system under power shortage conditions; The first material management module is configured to manage DC reserve materials using the reserve material quota. The second material management module is configured to continuously monitor power shortages and material usage, and repeatedly run the cost acquisition module, the type acquisition module, the quota acquisition module, and the first material management module.

10. A terminal device, characterized in that, include: At least one processor and at least one memory, the memory being communicatively connected to the processor; The memory stores a computer program that can be executed by the processor. When the computer program is executed by the processor, it implements the DC reserve material quota management method based on power shortage cost as described in any one of claims 1-8.

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