Intelligent optimization system for flexible supply of electric power materials

Abstract

The invention relates to an intelligent optimization system for flexible supply of electric power materials, and belongs to the technical field of material supply management. The system comprises an intelligent warehouse management unit, a dynamic inventory optimization unit, an intelligent scheduling unit and an emergency response management unit. The intelligent warehouse management unit comprises a regional warehouse management sub-module and a turnover warehouse management sub-module; the dynamic inventory optimization unit comprises a multi-stage inventory linkage module and a loss early warning module; the intelligent scheduling unit comprises a calculation processing module and a transportation resource pool module; the emergency response management unit comprises a grading early warning module and a quick response module. Through inventory position linkage of the regional bins and the turnover bins, the replenishment period is shortened to be within 4 hours, emergency materials can be allocated across regions, the response time is shortened by 33% or above compared with a traditional mode, the supply flexibility is greatly improved, the storage supply rigid requirement for a nearby warehouse of a project is lowered, and supply is more flexible.

Description

Technical Field

[0001] The present invention belongs to the technical field of material supply management, and in particular relates to an intelligent optimization system for flexible supply of electric power materials. Background Art

[0002] With the rapid increase in the installed capacity of new energy sources such as wind power and photovoltaics, the volatility of their power generation has put forward higher requirements on the rapid response capabilities of power materials. For example, the expansion of cross-regional transmission networks and the increasing complexity of grid structures require power materials to adapt to the dynamic allocation needs in long-distance, large-capacity transmission scenarios. At the same time, the material supply chain is required to have multi-link coordination and real-time adaptation capabilities, which brings great challenges to the supply optimization technology of power materials.

[0003] The existing power material supply is aimed at cross-regional coordinated allocation of materials, and usually adopts multi-terminal grid adaptation solutions. For example, for complex grid scenarios such as flexible direct current transmission, an intelligent matching algorithm for material warehouses is designed to screen available material warehouses based on the demand location and latest demand time and generate optimal outbound delivery instructions. The digital platform integrates supplier, warehousing, and logistics data to provide real-time warnings of potential supply interruption risks and perform dynamic allocation based on dynamic switching among multiple suppliers.

[0004] However, existing technologies often encounter situations where warehouses near the demand location are unable to supply materials on time before the latest demand time when material supply is tight and transportation supply pressure is high. At this time, power materials can only be remotely allocated from warehouses in more distant areas and transported over long distances to the demand location to meet material needs. This method will increase transportation costs and rigidly require that warehouses within the transportable range must have sufficient material reserves. Otherwise, power materials will not be allocated in time, thereby affecting the power supply in the demand area.

[0005] Therefore, how to overcome the shortcomings of existing technologies is an urgent problem to be solved in the field of material supply management technology. Summary of the Invention

[0006] The purpose of the present invention is to address the deficiencies of the existing technology and provide an intelligent optimization system for the flexible supply of electric power materials, thereby improving the flexibility and reliability of the supply of electric power materials and promoting the development of the electric power material supply model towards flexibility and intelligence.

[0007] To achieve the above object, the technical solution adopted by the present invention is as follows:

[0008] Intelligent optimization system for flexible supply of power materials, including intelligent storage management unit, dynamic inventory optimization unit, intelligent scheduling unit and emergency response management unit;

[0009] The intelligent warehouse management unit includes the regional warehouse management submodule and the turnover warehouse management submodule;

[0010] The regional warehouse management submodule is used to manage the power materials in the regional warehouse and push the inventory data of the regional warehouse to the turnover warehouse management submodule; it is also used to collect the storage environment of the regional warehouse;

[0011] The turnover warehouse management submodule is used to manage the power materials in the turnover warehouse and send the power material consumption rate of the turnover warehouse to the regional warehouse management submodule; it is also used to collect the storage environment of the turnover warehouse;

[0012] Among them, one regional warehouse corresponds to multiple turnover warehouses; each regional warehouse is provided with a regional warehouse management submodule; each turnover warehouse is provided with a turnover warehouse management submodule; the regional warehouse management submodule of the regional warehouse is connected to the turnover warehouse management submodule of its corresponding turnover warehouse;

[0013] The dynamic inventory optimization unit includes a multi-level inventory linkage module and a loss warning module;

[0014] The multi-level inventory linkage module is connected to the regional warehouse management submodule and the turnover warehouse management submodule respectively, and is used to obtain the power material inventory status of each regional warehouse management submodule and the turnover warehouse management submodule, and provide an allocation plan based on the inventory status;

[0015] The loss warning module is connected to the regional warehouse management submodule and the turnover warehouse management submodule respectively, and is used to provide early warning on the life of the power materials in the regional warehouse and turnover warehouse according to the storage environment of the regional warehouse and turnover warehouse.

[0016] The intelligent scheduling unit includes a computing and processing module and a transportation resource pool module;

[0017] The emergency response management unit includes a hierarchical warning module and a rapid response module.

[0018] Furthermore, preferably, a transport resource pool module is used to manage transport resources such as daytime delivery, nighttime transport, and drone emergency channels;

[0019] The calculation and processing module is connected to the transportation resource pool module and the multi-level inventory linkage module respectively, and is used to calculate the optimal transportation path of each allocation plan given by the multi-level inventory linkage module based on the transportation resources of the transportation resource pool module.

[0020] Furthermore, preferably, the hierarchical warning module is connected to the meteorological warning system and the calculation processing module respectively, and is used to generate corresponding emergency response plans according to the meteorological warnings at various levels of the meteorological warning system; the emergency response plan includes a material pre-deployment plan; then, based on the material pre-deployment plan, the calculation processing module calculates to obtain the optimal transportation path and issues corresponding transportation instructions;

[0021] The quick response module is connected to the calculation and processing module and is used to obtain power grid fault information. When a sudden fault occurs, it generates a corresponding quick response order for power materials, and then retrieves the standardized emergency repair material packages in the turnover warehouse for immediate delivery and transportation according to the optimal transportation path generated by the calculation and processing module.

[0022] Furthermore, it is preferred that regional warehouses are deployed at provincial hub nodes; and turnover warehouses are deployed at municipal nodes.

[0023] Furthermore, preferably, the regional warehouse management submodule is used to collect power material supply data in each region, predict power material supply demand, and generate a replenishment plan.

[0024] Furthermore, preferably, the regional warehouse management submodule regularly pushes inventory data to the turnover warehouse management submodule to trigger the automatic replenishment process; the turnover warehouse management submodule provides real-time feedback on the power material consumption rate to reversely drive the optimization of the model used to predict the power material supply demand in the regional warehouse management submodule.

[0025] Furthermore, it is preferred that in the multi-level inventory linkage module, when the inventory of a certain electric power material in the turnover warehouse management submodule is lower than the dynamic safety threshold, it is allocated from its corresponding regional warehouse; if the inventory of the electric power material in the regional warehouse management submodule of its corresponding regional warehouse is insufficient, it is allocated from the adjacent regional warehouse.

[0026] Furthermore, preferably, a life prediction model of each electric power material is pre-stored in the loss warning module, and an early warning is issued three months in advance of the electric power material approaching the end of its life according to the life predicted by the prediction model.

[0027] Furthermore, it is preferred to set up an independent isolation reserve area in the turnover warehouse and pre-configure standardized emergency repair material packages.

[0028] Based on the "regional warehouse + turnover warehouse" model, this invention utilizes intelligent optimization technology to dynamically adjust material reserves and allocation plans, taking into account factors such as changes in material demand, warehouse inventory status, and transportation resources. The system can respond to changes in material demand in real time, enabling rapid allocation and supply of materials, effectively improving the flexibility and reliability of power material supply, and promoting the development of a more flexible and intelligent power material supply model.

[0029] The present invention is based on data collection, feedback, analysis, processing and decision-making to achieve real-time and accurate matching of warehousing resources and demand, and process automation.

[0030] The resource optimization utilization mechanism of the present invention fully utilizes idle transport capacity and recyclable materials to maximize the value of resources in the entire industry chain.

[0031] In the present invention, the weather warning system is an existing system, and the present invention is not limited to this.

[0032] The technical points of the present invention are as follows:

[0033] 1. Warehousing network structure design

[0034] 1. Hierarchical division: The present invention divides warehouses into regional warehouses and turnover warehouses according to their location, transportation routes, radiation range and storage capacity, and each warehouse is responsible for different functions in the supply of power materials.

[0035] Regional warehouse: As a core reserve node, it mainly stores bulk materials commonly used in the entire network (such as transformers and circuit breakers), covers multiple provincial regions to form a cross-regional dispatching hub, supports cross-regional material allocation, and is set up as a strategic reserve center with high single-warehouse reserve concentration and low redundant inventory ratio. It adopts material classification and layered three-dimensional shelves to achieve high-density storage (space utilization rate ≥ 85%), which is used to supply turnover materials to turnover warehouses within the radiation range to ensure sufficient inventory in the turnover warehouses within the region.

[0036] Turnover warehouse: It is set up within the radiation range of the regional warehouse (such as the municipal level) and deployed as a high-frequency response node in the municipal hub closest to the project site. It mainly stores high-frequency, small-batch demand materials (such as insulators and cable connectors). When there is a regular supply plan or urgent supply demand, it also has the function of regularly receiving materials delivered from the regional warehouse, and is equipped with AGV handling robots to achieve rapid response within 24 hours, and to allocate and quickly supply materials from the regional warehouse and the turnover warehouse itself.

[0037] 2. Establish a functional coordination mechanism: Establish a mechanism for coordinated allocation of materials between regional warehouses and turnover warehouses, form a flexible supply chain of power materials with multi-point response, lay out a more flexible and agile storage grid structure, and track the coordination of the supply chain throughout the process. The system collects real-time traffic conditions, weather conditions, and project material usage data, and conducts real-time allocation optimization, and adjusts the supply plan for each supply and transportation segment.

[0038] Specifically, according to the transportation direction of materials in the supply chain, the collaborative supply mechanism can be set up as follows:

[0039] Regional warehouse → turnover warehouse: replenishment is automatically triggered based on the percentage position of the turnover warehouse inventory (the threshold can be dynamically adjusted to ±20%), using the "trunk transportation + AGV sorting" mode, with a maximum replenishment cycle of ≤3 days, and supplies are transported from the regional warehouse to the turnover warehouse for periodic replenishment.

[0040] When a turnover warehouse has a regular supply plan for projects within its supply range, the system will forecast the supply demand for that warehouse. By analyzing weather data (such as wind speed, sunshine intensity, and rainfall) and project equipment operating status data, combined with historical electricity usage records, it predicts changes in power material demand over the next three days. Based on the forecast results, the delivery cycle and volume of materials to the turnover warehouse will be dynamically adjusted. For example, if strong winds are predicted to cause equipment failure in a certain area, the appropriate repair materials will be prepared in advance.

[0041] In addition to the regular material supply plan for the turnover warehouse, an emergency supply response mechanism is set up. When an emergency material demand occurs, the system obtains and analyzes the relevant data of the emergency supply demand (such as the material demand quantity, the project deadline, the transportation capacity and time required for transportation, and the local power supply pressure), and then classifies the emergency material demand into an urgency level. When the system determines that it is a level one emergency demand (for example, the urgency level is greater than 0.8, and the urgency level can be obtained according to existing quantitative methods, and the present invention is not limited to this), the turnover warehouse gives priority to calling on the current material reserves for priority supply, and at the same time sends a level one emergency supply request to the regional warehouse. The regional warehouse gives priority to calling on the reserve materials and all currently available transportation capacity to transport the required power materials to the turnover warehouse. When the system determines that it is a level two emergency demand (for example, the urgency level is between 0.5 and 0.8), the turnover warehouse gives priority to calling on the currently deployable reserve materials for partial supply without affecting other supply chains. At the same time, based on the amount of power materials to be replenished, it sends a level two emergency replenishment request to the regional warehouse. The regional warehouse coordinates to increase the material supply to the turnover warehouse and shorten the material transportation cycle to the turnover warehouse.

[0042] Turnover warehouse → terminal: Provides direct delivery for emergency power material needs and project sites, and supports mixed loading of multiple types of vehicles (such as cold chain vehicles transporting GIS equipment).

[0043] 2. Establish a dynamic material allocation strategy

[0044] 1. Grading response to demand:

[0045] Large demand (out-of-stock rate > 5%): Direct cross-regional warehouse dispatch (such as calling on warehouse inventory in neighboring areas), combined with UHV line transportation, cross-regional dispatch can be completed within 48 hours.

[0046] Conventional demand: Prioritize shipments from turnover warehouses. If inventory is insufficient, a multi-level replenishment chain from regional warehouse to turnover warehouse to the end is triggered, and the entire process takes ≤5 days.

[0047] 2. Inventory sharing mechanism:

[0048] By establishing a material coordination pool between regional warehouses, a real-time monitoring database for the power material system can be established based on the regional warehouse management submodule and the turnover warehouse management submodule to realize real-time sharing of inventory data. For example, idle circuit breakers in regional warehouse A can be temporarily transferred to regional warehouse B.

[0049] The turnover warehouse implements the "one warehouse, multiple supplies" model, and a single turnover warehouse can serve multiple power material supply needs at the same time, reducing duplicate reserves.

[0050] 3. Intelligent Scheduling Optimization Algorithm

[0051] 1. Real-time path optimization

[0052] Trunk transport uses an ant colony algorithm to generate optimal routes, incorporating constraints such as vehicle weight and temperature control requirements to reduce transportation costs. Terminal delivery incorporates a dynamic road condition correction mechanism (such as automatic route switching during heavy rain), and a backup vehicle is immediately activated if the time deviation exceeds 15%.

[0053] 2. Reliability enhancement measures

[0054] Dynamic safety stock adjustment: Automatically adjusts inventory safety thresholds based on demand forecast deviations, keeping out-of-stock rates below 3%. The entire material lifecycle is monitored and managed, including warehousing, supply and transportation, and use. RFID tags track material expiration dates, storage humidity and temperature, and operating hours, providing automatic warnings for exceeding limits.

[0055] 3. Cost control optimization measures:

[0056] Idle materials are recycled. Recycling warehouses regularly recycle project surplus materials (such as cable heads and hardware), mark them with usage information after inspection, and restock them, increasing resource reuse. A transportation resource pool is established to share empty return vehicles between regional warehouses, increasing loading rates.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] (1) The response efficiency of the multi-level warehousing network has increased significantly

[0059] By linking the inventory positions of regional warehouses and turnover warehouses, the replenishment cycle can be shortened to less than 4 hours, and emergency materials can be allocated across regions. The response time is reduced by 33% or more compared with the traditional model, which greatly improves the supply flexibility. In addition, the rigid requirements for storage supply of warehouses near the project are reduced, and the supply is more flexible.

[0060] (2) Strengthening the reliability of material supply

[0061] Regional warehouses centrally store over 80% of the network's bulk supplies, and turnover warehouses feature dynamic buffer zones (inventory level ≥ 20% of the safety level) to ensure a continuous supply of high-frequency supplies. A pre-deployment inventory mechanism based on meteorological warnings ensures that emergency supplies arrive within 48 hours in the event of typhoons, heavy rains, and other disasters.

[0062] (3) Lean cost control across the entire supply chain

[0063] Through strategies such as sharing of empty vehicles between regional warehouses and daytime delivery by new energy light trucks, the unit material transportation cost is reduced and the vehicle empty rate is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 This is a schematic diagram of the structure of the intelligent optimization system for flexible supply of electric power materials according to the present invention; wherein the direction of the arrows represents the direction of data or signals;

[0065] Figure 2 The figure is a flow chart of flexible supply of electric power materials using the system of the present invention. DETAILED DESCRIPTION

[0066] The present invention is described in further detail below with reference to the embodiments.

[0067] Those skilled in the art will understand that the following examples are intended to illustrate the present invention only and should not be construed as limiting the scope of the present invention. Where specific techniques or conditions are not specified in the examples, the techniques or conditions described in the literature in the art or in the product specifications were used. Materials or equipment used without manufacturer identification are commercially available conventional products.

[0068] Example 1

[0069] like Figure 1 As shown, the intelligent optimization system for flexible supply of power materials includes an intelligent storage management unit, a dynamic inventory optimization unit, an intelligent scheduling unit, and an emergency response management unit;

[0070] The intelligent warehouse management unit includes the regional warehouse management submodule and the turnover warehouse management submodule;

[0071] The regional warehouse management submodule is used to manage the power materials in the regional warehouse and push the inventory data of the regional warehouse to the turnover warehouse management submodule; it is also used to collect the storage environment of the regional warehouse;

[0072] The turnover warehouse management submodule is used to manage the power materials in the turnover warehouse and send the power material consumption rate of the turnover warehouse to the regional warehouse management submodule; it is also used to collect the storage environment of the turnover warehouse;

[0073] Among them, one regional warehouse corresponds to multiple turnover warehouses; each regional warehouse is provided with a regional warehouse management submodule; each turnover warehouse is provided with a turnover warehouse management submodule; the regional warehouse management submodule of the regional warehouse is connected to the turnover warehouse management submodule of its corresponding turnover warehouse;

[0074] The dynamic inventory optimization unit includes a multi-level inventory linkage module and a loss warning module;

[0075] The multi-level inventory linkage module is connected to the regional warehouse management submodule and the turnover warehouse management submodule respectively, and is used to obtain the power material inventory status of each regional warehouse management submodule and the turnover warehouse management submodule, and provide an allocation plan based on the inventory status;

[0076] The loss warning module is connected to the regional warehouse management submodule and the turnover warehouse management submodule respectively, and is used to provide early warning on the life of the power materials in the regional warehouse and turnover warehouse according to the storage environment of the regional warehouse and turnover warehouse.

[0077] The intelligent scheduling unit includes a computing and processing module and a transportation resource pool module;

[0078] The emergency response management unit includes a hierarchical warning module and a rapid response module.

[0079] Example 2

[0080] like Figure 1 As shown, the intelligent optimization system for flexible supply of power materials includes an intelligent storage management unit, a dynamic inventory optimization unit, an intelligent scheduling unit, and an emergency response management unit;

[0081] The intelligent warehouse management unit includes the regional warehouse management submodule and the turnover warehouse management submodule;

[0082] The regional warehouse management submodule is used to manage the power materials in the regional warehouse and push the inventory data of the regional warehouse to the turnover warehouse management submodule; it is also used to collect the storage environment of the regional warehouse;

[0083] The turnover warehouse management submodule is used to manage the power materials in the turnover warehouse and send the power material consumption rate of the turnover warehouse to the regional warehouse management submodule; it is also used to collect the storage environment of the turnover warehouse;

[0084] Among them, one regional warehouse corresponds to multiple turnover warehouses; each regional warehouse is provided with a regional warehouse management submodule; each turnover warehouse is provided with a turnover warehouse management submodule; the regional warehouse management submodule of the regional warehouse is connected to the turnover warehouse management submodule of its corresponding turnover warehouse;

[0085] The dynamic inventory optimization unit includes a multi-level inventory linkage module and a loss warning module;

[0086] The multi-level inventory linkage module is connected to the regional warehouse management submodule and the turnover warehouse management submodule respectively, and is used to obtain the power material inventory status of each regional warehouse management submodule and the turnover warehouse management submodule, and provide an allocation plan based on the inventory status;

[0087] The loss warning module is connected to the regional warehouse management submodule and the turnover warehouse management submodule respectively, and is used to provide early warning on the life of the power materials in the regional warehouse and turnover warehouse according to the storage environment of the regional warehouse and turnover warehouse.

[0088] The intelligent scheduling unit includes a computing and processing module and a transportation resource pool module;

[0089] The emergency response management unit includes a hierarchical warning module and a rapid response module.

[0090] The transportation resource pool module is used to manage transportation resources such as daytime delivery, nighttime transportation, and drone emergency channels;

[0091] The calculation and processing module is connected to the transportation resource pool module and the multi-level inventory linkage module respectively, and is used to calculate the optimal transportation path of each allocation plan given by the multi-level inventory linkage module based on the transportation resources of the transportation resource pool module.

[0092] The hierarchical warning module is connected to the meteorological warning system and the calculation and processing module respectively, and is used to generate corresponding emergency response plans based on the meteorological warnings at all levels of the meteorological warning system; the emergency response plan includes a material pre-deployment plan; then, based on the material pre-deployment plan, the calculation and processing module calculates and obtains the optimal transportation path and issues corresponding transportation instructions;

[0093] The quick response module is connected to the calculation and processing module and is used to obtain power grid fault information. When a sudden fault occurs, it generates a corresponding quick response order for power materials, and then retrieves the standardized emergency repair material packages in the turnover warehouse for immediate delivery and transportation according to the optimal transportation path generated by the calculation and processing module.

[0094] Regional warehouses are deployed at provincial hub nodes; turnover warehouses are deployed at municipal nodes.

[0095] The regional warehouse management submodule is used to collect power material supply data in each region, predict power material supply demand, and generate replenishment plans.

[0096] The regional warehouse management submodule regularly pushes inventory data to the turnover warehouse management submodule, triggering the automatic replenishment process; the turnover warehouse management submodule provides real-time feedback on the power material consumption rate to reversely drive the optimization of the model used to predict power material supply demand in the regional warehouse management submodule.

[0097] In the multi-level inventory linkage module, when the inventory of a certain power material in the turnover warehouse management submodule is lower than the dynamic safety threshold, it will be allocated from its corresponding regional warehouse; if the inventory of the power material in the regional warehouse management submodule of its corresponding regional warehouse is insufficient, it will be allocated from the adjacent regional warehouse.

[0098] The loss warning module pre-stores the life prediction model of each power material. Based on the life predicted by the prediction model, an early warning is issued three months in advance for power materials that are nearing the end of their life.

[0099] An independent isolation reserve area is set up in the turnover warehouse, and standardized emergency repair material packages are pre-configured.

[0100] Application Examples

[0101] like Figure 1 and Figure 2 As shown in the figure, the intelligent optimization system for flexible supply of electric power materials includes the following contents:

[0102] 1. Intelligent Warehousing Management Unit

[0103] The regional warehouse management submodule, deployed at provincial hubs, is equipped with heavy-duty racks, RFID batch identification channels, and a network of temperature and humidity sensors for storing bulk supplies. It is responsible for over 80% of the network's strategic reserves. By collecting regional power supply data, it predicts supply and demand fluctuations and generates replenishment plans.

[0104] The turnover warehouse management submodule deploys removable shelves, automated guided vehicles (AGVs), and sorting systems at prefecture-level nodes to store high-frequency supplies such as cable connectors and lightning arresters. It processes an average of 2,500 or more inbound and outbound orders daily, supports emergency supplies outbound within 30 minutes, and maintains a dynamic allocation error rate of ≤2%.

[0105] The regional warehouse management submodule pushes inventory data to the turnover warehouse management submodule every day, triggering the automatic replenishment process; the turnover warehouse management submodule provides real-time feedback on the power material consumption rate, which in turn drives the optimization of the regional warehouse management submodule's prediction model.

[0106] 2. Dynamic Inventory Optimization Unit

[0107] Multi-level inventory linkage module:

[0108] A distributed database integrated with blockchain technology synchronizes inventory data from regional warehouses and turnover warehouses in real time. Based on this inventory data, it provides allocation plans and supports the automatic signing of cross-warehouse material allocation agreements. This automatically triggers cross-warehouse allocation instructions when the inventory of a specific power material in the turnover warehouse management submodule falls below the dynamic safety threshold.

[0109] Loss warning module:

[0110] Using RFID tags on supplies, the system captures storage environment data (e.g., temperature ≤ 40°C, humidity ≤ 60%) and combines it with lifespan prediction models for each power supply (e.g., transformer lifespan attenuation coefficient) to generate early warnings. This system provides three months' advance warning of power supplies nearing the end of their lifespan (i.e., shelf life), improving inventory turnover.

[0111] 3. Intelligent Scheduling Unit

[0112] The computational processing module, embedded with a dynamic weight adjustment mechanism (weight coefficients can be increased in times of emergency), enables multi-objective joint analysis and computational optimization of transportation costs, timeliness, and energy consumption. It is used to generate and plan optimal cross-regional transportation routes, improve supply efficiency, and achieve a ≥95% success rate for emergency response missions in extreme weather.

[0113] The transport resource pool module integrates nighttime transport, daytime delivery, and drone emergency access, and monitors vehicle location and load rates in real time. By setting a return transport resource reuse strategy, it reduces the empty vehicle rate, thereby reducing unit transport costs by 22% or more.

[0114] IV. Emergency Response Management Unit

[0115] The tiered warning module integrates with the meteorological warning system (e.g., wind speed warning > level 10) and integrates inventory data to generate multi-level emergency response plans. This allows for cross-regional material pre-deployment within two hours of a warning, shortening the time it takes for emergency repair supplies to arrive.

[0116] The rapid response module establishes an independent, isolated storage area within the turnover warehouse, pre-configured standardized emergency repair kits, and equipped with sorting equipment for automated sorting. This allows for rapid delivery within 30 minutes after a sudden failure, increasing the completion rate of emergency supply orders.

[0117] 5. System Collaboration Example

[0118] Conventional replenishment process: turnover warehouse inventory falls below the threshold → blockchain triggers regional warehouse replenishment agreement → increase and speed up transportation → AGV completes automatic warehousing.

[0119] Emergency response process: early warning triggers red response → rapid response module automatically activated → calculation and processing module generates optimal transportation route → multi-terminal transportation capacity coordinated distribution.

[0120] The comparison results before and after synergistic efficiency optimization are shown in Table 1.

[0121] Table 1

[0122]

[0123]

[0124] Application Examples

[0125] 1. Dynamic Demand Forecasting

[0126] Data Collection:

[0127] After establishing regional warehouses and turnover warehouses, the system collects information on each warehouse's location, supply project status, and transportation routes. By analyzing weather data (such as wind speed and sunlight intensity) and equipment operating status (such as temperature and vibration), combined with historical electricity usage records, it predicts changes in power supply demand over the next three days. For example, if strong winds predict equipment failure in a certain area, repair supplies are prepared in advance and materials from regional warehouses are prioritized for allocation to turnover warehouses, providing a rapid emergency response plan.

[0128] Urgency Determination:

[0129] Based on the forecast deviation (the difference between actual demand and forecast value) and the level of grid fault, demand is divided into three levels:

[0130] Emergency (>0.8): Directly call on reserve materials from cross-regional warehouses (such as transporting transformers from neighboring areas).

[0131] More urgent (0.5-0.8): Prioritize the use of the fast pickup area high up in the local warehouse (such as the top shelf of the smart warehouse).

[0132] Normal (≤0.5): Place replenishment orders with suppliers according to the regular plan.

[0133] 2. Intelligent Inventory Adjustment

[0134] Category management strategy:

[0135] Key materials (such as circuit breakers): Set up dynamic safety stock and check and replenish stocks every week.

[0136] For less important materials (such as insulators), inventory information can be shared with suppliers, who will proactively replenish the stock (similar to how milk suppliers monitor supermarket inventory).

[0137] Ordinary materials (such as screws): purchased in bulk according to a fixed cycle (such as once a month).

[0138] Space optimization:

[0139] By adjusting shelf heights and partitioning storage (such as placing large equipment on the bottom floor and small items on the upper floors), the warehouse space utilization rate reaches over 85%.

[0140] 3. Transport route optimization

[0141] Phase planning:

[0142] Phase 1: Use the ant colony algorithm to generate an initial route, covering all delivery points. The ant colony algorithm is a swarm intelligence optimization algorithm that simulates the foraging behavior of ants in nature. Its core idea is to use pheromones released by ants to form a positive feedback mechanism, gradually finding the optimal path from the starting point to the destination. The specific principles are as follows:

[0143] 1. Pheromone mechanism: pheromones are released along the path, and the path with high pheromone concentration is subsequently preferred.

[0144] 2. Path selection probability: The selection probability is calculated based on the pheromone concentration and heuristic information (such as the inverse of the distance) on the path.

[0145] 3. Dynamic Update Rules: Pheromones evaporate over time (preventing local optima), while pheromones along excellent paths are enhanced. This algorithm has strong global search capabilities, preventing premature convergence. It naturally supports parallel computing and is suitable for large-scale problems. It is highly robust and adaptable to noise and dynamic changes.

[0146] Phase 2: Local optimization of the initial route, such as adjusting the delivery order or inserting temporary stops.

[0147] Real-time adjustment mechanism:

[0148] Dynamic route adjustments based on weather and traffic conditions: In heavy rain (rainfall > 50 mm / hour) or severe congestion, the estimated time of arrival (ETA) is automatically extended and the route replanned. If a vehicle is delayed by more than 15%, a backup transport plan (such as calling a nearby standby vehicle) is immediately activated.

[0149] 4. Effect Examples

[0150] Efficiency improvement:

[0151] By dynamically adjusting inventory, one warehouse increased its material turnover from 4 times per year to 6.5 times (equivalent to using the same batch of materials 2.5 times more). It also reduced cross-regional delivery time from 3 days to 2 days (for example, in an emergency, delivery can be made within 48 hours).

[0152] Cost reduction:

[0153] Transportation costs fell by 18.7%, mainly due to route optimization (such as reducing vehicle idle mileage).

[0154] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. The intelligent optimization system for flexible supply of electric power materials is characterized by: It includes intelligent warehouse management unit, dynamic inventory optimization unit, intelligent scheduling unit and emergency response management unit; The intelligent warehouse management unit includes the regional warehouse management submodule and the turnover warehouse management submodule; The regional warehouse management submodule is used to manage the power materials in the regional warehouse and push the inventory data of the regional warehouse to the turnover warehouse management submodule; it is also used to collect the storage environment of the regional warehouse; The turnover warehouse management submodule is used to manage the power materials in the turnover warehouse and send the power material consumption rate of the turnover warehouse to the regional warehouse management submodule; it is also used to collect the storage environment of the turnover warehouse; Among them, one regional warehouse corresponds to multiple turnover warehouses; each regional warehouse is provided with a regional warehouse management submodule; each turnover warehouse is provided with a turnover warehouse management submodule; the regional warehouse management submodule of the regional warehouse is connected to the turnover warehouse management submodule of its corresponding turnover warehouse; The dynamic inventory optimization unit includes a multi-level inventory linkage module and a loss warning module; The multi-level inventory linkage module is connected to the regional warehouse management submodule and the turnover warehouse management submodule respectively, and is used to obtain the power material inventory status of each regional warehouse management submodule and the turnover warehouse management submodule, and provide an allocation plan based on the inventory status; The loss warning module is connected to the regional warehouse management submodule and the turnover warehouse management submodule respectively, and is used to provide early warning of the life of the power materials in the regional warehouse and turnover warehouse according to the storage environment of the warehouse; The intelligent scheduling unit includes a computing and processing module and a transportation resource pool module; The emergency response management unit includes a hierarchical warning module and a rapid response module.

2. The intelligent optimization system for flexible supply of electric power materials according to claim 1 is characterized in that: The transportation resource pool module is used to manage transportation resources such as daytime delivery, nighttime transportation, and drone emergency channels; The calculation and processing module is connected to the transportation resource pool module and the multi-level inventory linkage module respectively, and is used to calculate the optimal transportation path of each allocation plan given by the multi-level inventory linkage module based on the transportation resources of the transportation resource pool module.

3. The intelligent optimization system for flexible supply of electric power materials according to claim 1 is characterized in that: The hierarchical warning module is connected to the meteorological warning system and the calculation and processing module respectively, and is used to generate corresponding emergency response plans based on the meteorological warnings at all levels of the meteorological warning system; the emergency response plan includes a material pre-deployment plan; then, based on the material pre-deployment plan, the calculation and processing module calculates and obtains the optimal transportation path and issues corresponding transportation instructions; The quick response module is connected to the calculation and processing module and is used to obtain power grid fault information. When a sudden fault occurs, it generates a corresponding quick response order for power materials, and then retrieves the standardized emergency repair material packages in the turnover warehouse for immediate delivery and transportation according to the optimal transportation path generated by the calculation and processing module.

4. The intelligent optimization system for flexible supply of electric power materials according to claim 1 is characterized in that: Regional warehouses are deployed at provincial hub nodes; turnover warehouses are deployed at municipal nodes.

5. The intelligent optimization system for flexible supply of electric power materials according to claim 1 is characterized in that: The regional warehouse management submodule is used to collect power material supply data in each region, predict power material supply demand, and generate replenishment plans.

6. The intelligent optimization system for flexible supply of electric power materials according to claim 5 is characterized in that: The regional warehouse management submodule regularly pushes inventory data to the turnover warehouse management submodule to trigger the automatic replenishment process; The turnover warehouse management submodule provides real-time feedback on the power material consumption rate to reversely drive the optimization of the model used to predict the power material supply demand in the regional warehouse management submodule.

7. The intelligent optimization system for flexible supply of electric power materials according to claim 1 is characterized in that: In the multi-level inventory linkage module, when the inventory of a certain power material in the turnover warehouse management submodule falls below the dynamic safety threshold, it will be allocated from its corresponding regional warehouse; If the inventory of the power material in the regional warehouse management submodule of its corresponding regional warehouse is insufficient, it will be allocated from the adjacent regional warehouse.

8. The intelligent optimization system for flexible supply of electric power materials according to claim 1 is characterized in that: The loss warning module pre-stores the life prediction model of each power material. Based on the life predicted by the prediction model, an early warning is issued three months in advance for power materials that are nearing the end of their life.

9. The intelligent optimization system for flexible supply of electric power materials according to claim 1 is characterized in that: An independent isolation reserve area is set up in the turnover warehouse, and standardized emergency repair material packages are pre-configured.

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