Power grid material supply and demand analysis method, device and equipment based on data analysis

Abstract

The invention provides a power grid material supply and demand analysis method, device and equipment based on data analysis, and relates to the technical field of material monitoring. The method comprises the following steps: when a non-planed material demand notification is received, based on the demand quantity of target materials in the non-planed material demand and the stock quantity of the target materials, determining the remaining stock quantity of the target materials after the non-planed material demand is executed; wherein the non-planed material demand refers to a demand reported in the power grid material Internet of Things platform within a preset time period before the use day; when the remaining stock quantity of the target material is smaller than a first stock threshold value, determining a first supply strategy of the target material based on demand information of the target material in the power grid material Internet of Things platform, the remaining stock quantity of the target material and the first stock threshold value; wherein the first inventory threshold value is the minimum inventory value of the target material determined based on the material threshold value model. According to the invention, the supply strategy can be formulated in time when the non-planed material demand occurs.

Description

Technical Field

[0001] The present invention relates to the technical field of material monitoring, and in particular to a method, device and equipment for analyzing the supply and demand of power grid materials based on data analysis. Background Art

[0002] In today's rapidly developing energy industry, power companies face increasingly fierce market competition and ever-changing customer demands. As a core component of power company operations, grid material supply chain management's efficiency and effectiveness are directly related to cost control, service quality, and even overall competitiveness. With the continuous advancement of information technology, the concept of smart supply chain has emerged, providing new solutions for power companies to optimize material procurement management.

[0003] In power grid material supply chain management, inventory monitoring, early warning, and analysis are crucial for ensuring the stability and reliability of supply. As power grid construction continues to expand, the variety of materials required by power companies is increasing. The supply chain involves numerous suppliers, manufacturers, distributors, and logistics service providers. This complexity complicates supply chain management, leading to poor information flow, slow response times, and inefficient decision-making.

[0004] Traditional monitoring and analysis methods currently face numerous challenges. Firstly, the generation and processing of province-wide monitoring and early warnings involves massive amounts of data and complex business processes. When emergency supplies are needed, manual processing is inefficient and prone to errors. Secondly, when emergency supplies are needed, inventory cannot be replenished in a timely manner. Summary of the Invention

[0005] The embodiments of the present invention provide a method, device and equipment for analyzing the supply and demand of power grid materials based on data analysis to solve the problem that current inventory monitoring and analysis methods cannot replenish inventory in a timely manner in the event of an emergency.

[0006] In a first aspect, an embodiment of the present invention provides a method for analyzing power grid material supply and demand based on data analysis, comprising:

[0007] When receiving a notification of unplanned material demand, the remaining inventory quantity of the target material after fulfilling the unplanned material demand is determined based on the required quantity of the target material in the unplanned material demand and the inventory quantity of the target material; wherein, unplanned material demand refers to demand that has not been reported to the power grid material IoT platform within the preset time period before the usage date;

[0008] When the remaining inventory quantity of the target material is less than the first inventory threshold, a first replenishment strategy for the target material is determined based on the demand information of the target material in the power grid material Internet of Things platform, the remaining inventory quantity of the target material, and the first inventory threshold; wherein the first inventory threshold is the minimum inventory value of the target material determined based on the material threshold model.

[0009] In a second aspect, an embodiment of the present invention provides a power grid material supply and demand analysis device based on data analysis, comprising:

[0010] The first determination module is configured to, upon receiving a notification of an unplanned material demand, determine the remaining inventory quantity of the target material after fulfilling the unplanned material demand based on the required quantity of the target material in the unplanned material demand and the inventory quantity of the target material; wherein the unplanned material demand refers to a demand that has not been reported to the power grid material Internet of Things platform within a preset time period before the day of use;

[0011] The second determination module is used to determine a first replenishment strategy for the target material based on the target material demand information, the target material remaining inventory quantity and the first inventory threshold in the power grid material Internet of Things platform when the remaining inventory quantity of the target material is less than the first inventory threshold; wherein the first inventory threshold is the minimum inventory value of the target material determined based on the material threshold model.

[0012] In a third aspect, an embodiment of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method in the first aspect or any possible implementation of the first aspect is implemented.

[0013] In an embodiment of the present invention, first, when an unplanned material demand notification is received, the remaining inventory quantity of the target material after executing the unplanned material demand is determined based on the demand quantity of the target material in the unplanned material demand and the inventory quantity of the target material. When the remaining inventory quantity of the target material is less than the first inventory threshold, the first replenishment strategy for the target material is determined based on the demand information of the target material in the power grid material Internet of Things platform, the remaining inventory quantity of the target material and the first inventory threshold. By analyzing the unconventional unplanned material demand and formulating a corresponding delivery plan. In addition, when it is monitored that the remaining inventory quantity of the target material is less than the first inventory threshold, it is also necessary to formulate the first replenishment strategy for the target material as soon as possible, so as to ensure that the target material meets the inventory threshold demand on the one hand, and on the other hand, the demand for the target material in the power grid material Internet of Things platform can be guaranteed. Sudden unplanned material demand will not lead to the inability to formulate a delivery plan in time according to the unplanned material demand, and to formulate a supply strategy for the target material in a timely and accurate manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1This is a flowchart of an implementation method for analyzing power grid material supply and demand based on data analysis provided by an embodiment of the present invention;

[0015] Figure 2 1 is a schematic structural diagram of a power grid material supply and demand analysis device based on data analysis provided by an embodiment of the present invention;

[0016] Figure 3 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0018] Although there are many methods for analyzing material supply and demand, the inventors have found that existing analysis methods can more accurately monitor and warn of materials based on a pre-set material demand plan, and replenish materials with low quantities according to a predetermined replenishment plan based on the warning to meet material demand.

[0019] However, when unplanned material demands are received temporarily, the material warning analysis will be temporarily disrupted, and it will be impossible to reasonably monitor and analyze the distribution and replenishment of materials based on the existing inventory and unplanned material demands.

[0020] It should be noted that a material demand reporting module is provided in the power grid material Internet of Things platform of the present invention, and the material demander can report the use demand of the target material in the power grid material Internet of Things platform within a preset time period before the use date. The use demand includes the usage quantity, the latest time of use, etc. The preset time period before the use date can be set according to the actual procurement time, etc., and is not limited here. If the use demand of the target material is not reported in the power grid material Internet of Things platform within the preset time period before the use date, it will be deemed as unplanned material demand. The power grid material Internet of Things platform of the present invention will formulate a procurement plan for the target material based on the inventory threshold of the target material and the use demand of the target material reported in the power grid material Internet of Things platform.

[0021] When there is an unexpected situation or emergency, when it is necessary to apply for unplanned material demand from the power grid material Internet of Things platform, it is necessary to use the power grid material supply and demand analysis method, device and equipment based on data analysis provided by the present invention to monitor and analyze the power grid material supply chain, so that when unplanned material demand occurs, the inventory can be adjusted and replenished in a timely and accurate manner to meet the needs of unplanned material demand and ensure sufficient inventory.

[0022] See also Figure 1 , which shows a flow chart for implementing a method for analyzing power grid material supply and demand based on data analysis provided by an embodiment of the present invention, as detailed below:

[0023] S110 . When an unplanned material demand notification is received, the remaining inventory quantity of the target material after executing the unplanned material demand is determined based on the required quantity of the target material in the unplanned material demand and the inventory quantity of the target material.

[0024] As mentioned earlier, in order to reasonably control the inventory quantity of each material in the power grid material Internet of Things platform to avoid excessive or insufficient storage leading to shortages during use, the inventory quantity of each material in the power grid material Internet of Things platform is set with an inventory threshold. The inventory threshold is calculated based on a pre-built material threshold model, so that the inventory quantity of each material can be reasonably controlled.

[0025] When receiving unplanned material demands, on the one hand, we must ensure the supply of unplanned materials, and on the other hand, we must ensure the requirements of remaining inventory. When the demand is lower than the remaining inventory, we must also formulate corresponding supply strategies and replenish inventory in time to meet the use of other material demands.

[0026] Planned material demand on the Power Grid Material IoT Platform requires reporting within a preset time period before the material's usage date. This allows the platform to replenish inventory in a timely manner based on each planned material demand. Unplanned material demand refers to demand not reported within the preset time period before the material's usage date. The usage date here refers to the material's usage date.

[0027] S120: When the remaining inventory quantity of the target material is less than the first inventory threshold, determine a first replenishment strategy for the target material based on the demand information of the target material in the power grid material Internet of Things platform, the remaining inventory quantity of the target material, and the first inventory threshold.

[0028] The first inventory threshold is a minimum inventory value of the target material determined based on the material threshold model.

[0029] The first inventory threshold here is the minimum inventory value of the target material, determined based on a pre-built material threshold model. This material threshold model is constructed based on historical material usage data, inventory backlog costs, and market conditions. This model not only predicts the target material's usage trends but also comprehensively determines the optimal inventory threshold based on market conditions and inventory costs.

[0030] In some embodiments, when the inventory quantity of the target material is greater than a first preset threshold, the remaining inventory quantity of the target material is determined based on the difference between the inventory quantity of the target material and the demand quantity of the target material. The first preset threshold is equal to the sum of the first inventory threshold, the total demand quantity of the target material in the power grid material Internet of Things platform within a first preset time period, and the demand quantity of the target material in the unplanned material demand.

[0031] It should be noted that the first preset time period here refers to the time from order placement to target material arrival, which is set based on logistics and procurement time. Target material refers to any type of material.

[0032] In addition, when the inventory quantity of the target material is less than the first preset threshold, in order to ensure that the remaining inventory quantity of the target material is not less than the first inventory threshold as much as possible, it is necessary to determine the remaining inventory quantity of the target material after executing the unplanned material demand based on the inventory quantity of the first material, the demand quantity of the target material in the unplanned material demand, and the inventory quantity of the target material.

[0033] In this embodiment, the first material is determined based on a pre-built knowledge graph for power grid materials. The entities in the knowledge graph represent various power grid materials, and their attributes include their serial number, performance parameters, quantity, and descriptions of applicable application scenarios. The data for each of these power grid materials is cleaned and processed, then converted into graph data that conforms to the knowledge graph structure using ETL or other data structuring methods, thereby forming the knowledge graph for power grid materials. Furthermore, the knowledge graph for power grid materials can select power grid materials with similar functions by setting performance parameters for similar power grid materials.

[0034] The "first material" here refers to a material with performance parameters greater than or equal to the target material, and the price of the first material is the lowest among all screened materials with performance parameters greater than or equal to the target material. For example, for wires, there are many different performance options. Wires with better performance parameters can replace wires with lower performance parameters, but wires with better performance parameters also cost more. Therefore, wires with appropriate performance parameters need to be selected. Therefore, in addition to performance, the selection of the first material in the present invention also needs to be limited by cost.

[0035] In this embodiment, when selecting the first material as a replacement, the quantity of the first material must also be considered, and the remaining quantity of the first material must be greater than or equal to a second inventory threshold. When the inventory quantity of the first material is greater than the second preset threshold, the first inventory threshold is determined to be the remaining inventory quantity of the target material after the unplanned material demand is met. If the quantity of the first material is sufficient, the quantity of the target material can be guaranteed to meet the first inventory threshold by initially using a portion of the first material to replace the target material, ensuring that a sufficient quantity of the target material remains in inventory after the unplanned material demand is met.

[0036] The second preset threshold is the sum of the second inventory threshold, the total demand for the first material within the first preset time period in the power grid material IoT platform, and the first quantity. The first quantity is the usage quantity of the first material, which can be determined by the difference between the demand quantity of the target material in the unplanned material demand and the usage quantity of the target material. The second inventory threshold is the minimum inventory value of the first material determined based on the material threshold model. The usage quantity of the target material is determined based on the difference between the inventory quantity of the target material and the first inventory threshold.

[0037] In this embodiment, when the inventory quantity of the first material is less than the second preset threshold, first, it is necessary to ensure that the remaining inventory quantity of the first material meets the minimum inventory requirement, that is, the second inventory threshold is determined as the remaining inventory quantity of the first material after executing the unplanned material demand.

[0038] Then, based on the target material's required quantity in the unplanned material demand, the second inventory threshold of the first material and its inventory quantity, and the target material's inventory quantity, the remaining inventory quantity of the target material after the unplanned material demand is executed is determined. In this case, the remaining inventory quantity of the target material after the unplanned material demand is executed is equal to the target material's inventory quantity + the used quantity of the first material - the target material's required quantity in the unplanned material demand. The used quantity of the first material is equal to the difference between the first material's inventory quantity and the second inventory threshold.

[0039] In some embodiments, when the remaining inventory of the target material after executing the unplanned material demand falls below a first inventory threshold, the inventory needs to be replenished as soon as possible. This triggers a procurement alert, and the procurement alert and the first replenishment strategy are sent to the procurement platform, triggering repeated reminders until a notification indicating that the order for the first replenishment strategy has been placed is received. This allows procurement personnel to purchase as quickly as possible after receiving the first replenishment strategy.

[0040] In some embodiments, since the remaining inventory quantity of the target material at this time is already less than the first inventory threshold, it is definitely necessary to replenish it as soon as possible. However, since the power grid material Internet of Things platform also contains demand information for the target material, it is also necessary to determine the first replenishment strategy for the target material based on the demand time and demand quantity of the target material in the power grid material Internet of Things platform. If the demand time of the target material in the power grid material Internet of Things platform is greater than the first procurement time, that is, there is sufficient time for replenishment, then the replenishment quantity can be directly determined based on the sum of the remaining inventory quantity of the target material, the first inventory threshold, and the demand quantity of the target material in the power grid material Internet of Things platform.

[0041] For example, if the target material's demand time on the power grid material IoT platform is 10 days from now, and the first procurement time is 9 days, then the target material's demand time on the power grid material IoT platform is greater than the first procurement time, meaning there is ample time for replenishment. "Greater" here refers to the numerical value of the time. The first procurement time here refers to the time from when the purchase order is placed to when the target material arrives.

[0042] However, when the demand time for some target materials in the power grid material IoT platform is less than the first procurement time, other strategies need to be adopted to ensure the demand.

[0043] In some embodiments, a first required quantity of the target material in the power grid material IoT platform can be determined based on the first procurement time of the target material and the demand time of the target material in the power grid material IoT platform. The demand time corresponding to the first required quantity of the target material is less than the first procurement time. "Less than" in this context also refers to a smaller time value.

[0044] Then, when the first demand quantity exceeds the remaining inventory, internal inventory coordination is required. A first temporary stock quantity of the target material is issued to the department that has received the materials in the power grid material IoT platform. This first temporary stock quantity is the amount of the target material to be used after a second preset time, which is greater than the first procurement time. At this point, after the target material is replenished, the coordinated first temporary stock quantity of the target material can be issued to the department that has received the materials.

[0045] Finally, based on the first temporary storage quantity, remaining inventory quantity, first demand quantity, and target material purchase quantity reported by the departments that have received the materials, the first replenishment strategy for the target materials is determined. The target material purchase quantity is determined based on the target material demand quantity, remaining inventory quantity, and first inventory threshold in the power grid material IoT platform.

[0046] In this embodiment, in order to ensure that the replenished materials can meet the demand time requirements of other target materials in the power grid material Internet of Things platform, first, the purchase quantity of the target material and the earliest demand time corresponding to the second demand quantity of the target material need to be input into the pre-built transportation strategy model to determine the procurement strategy of the target material of the procurement quantity.

[0047] Then, based on the relationship between the first temporary storage quantity and the second demand quantity reported by the department that has received the materials, the procurement strategy is further determined.

[0048] When the first temporary inventory quantity reported by the department that received the materials is greater than or equal to the second required quantity, the target quantity of materials reported by the department that received the materials will be issued for recall. This means that the current demand can be met by recalling the target quantity of materials reported by the department that received the materials. The second required quantity is the difference between the first required quantity and the remaining inventory quantity.

[0049] However, if the first temporary storage quantity reported by the received material department is less than the second demand quantity, the target material in the first temporary storage quantity reported by the department that retrieved the received material can no longer meet the current urgent needs. More target materials need to be purchased as soon as possible, and the procurement time for these target materials must be less than the first procurement time. This may increase procurement costs. In this case, the target material in the first temporary storage quantity reported by the department that retrieved the received material needs to be dispatched. In addition, the third demand quantity and the demand time corresponding to the first demand quantity need to be input into the transportation strategy model to determine the procurement strategy for the target material in the third demand quantity.

[0050] In some embodiments, there are many options for purchasing target materials. The prices of target materials, transportation costs and transportation times of different manufacturers are different, so the corresponding procurement costs are also different. When time requirements are not high, low-cost manufacturers and transportation methods can be used. However, when there are high requirements for time, it is necessary to consider low-cost procurement strategies on the premise of meeting time requirements first. The transportation strategy model is trained based on the quotations, transportation times and procurement costs of different suppliers. The input of the transportation strategy model is the quantity of target materials required and the latest demand time, and the output is the optimal procurement strategy, which includes the selected suppliers and transportation methods.

[0051] The analysis method provided by the present invention, first, when receiving a notification of unplanned material demand, based on the demand quantity of the target material in the unplanned material demand and the inventory quantity of the target material, determines the remaining inventory quantity of the target material after executing the unplanned material demand. When the remaining inventory quantity of the target material is less than the first inventory threshold, the first replenishment strategy of the target material is determined based on the demand information of the target material in the power grid material Internet of Things platform, the remaining inventory quantity of the target material and the first inventory threshold. By analyzing the unconventional unplanned material demand and formulating the corresponding delivery plan. In addition, when it is monitored that the remaining inventory quantity of the target material is less than the first inventory threshold, it is also necessary to formulate the first supply strategy of the target material as soon as possible, so as to ensure that the target material meets the demand of the inventory threshold on the one hand, and on the other hand, the demand for the target material in the power grid material Internet of Things platform can be guaranteed. Sudden unplanned material demand will not lead to the inability to formulate a delivery plan in time according to the unplanned material demand, and to accurately formulate the supply strategy of the target material.

[0052] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0053] The following are device embodiments of the present invention. For details not fully described therein, reference may be made to the corresponding method embodiments described above.

[0054] Figure 2 A schematic diagram of the structure of a power grid material supply and demand analysis device based on data analysis provided by an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:

[0055] like Figure 2 As shown, the power grid material supply and demand analysis device 200 based on data analysis includes:

[0056] The first determining module 210 is configured to, upon receiving an unplanned material demand notification, determine the remaining inventory quantity of the target material after fulfilling the unplanned material demand based on the required quantity of the target material in the unplanned material demand and the inventory quantity of the target material; wherein the unplanned material demand refers to a demand that has not been reported to the power grid material Internet of Things platform within a preset time period before the day of use;

[0057] The second determination module 220 is used to determine a first replenishment strategy for the target material based on the target material demand information, the target material remaining inventory quantity, and the first inventory threshold in the power grid material Internet of Things platform when the remaining inventory quantity of the target material is less than the first inventory threshold; wherein the first inventory threshold is the minimum inventory value of the target material determined based on the material threshold model.

[0058] In one possible implementation, the first determining module 210 is configured to determine the remaining inventory quantity of the target material based on the difference between the inventory quantity of the target material and the demand quantity of the target material when the inventory quantity of the target material is greater than a first preset threshold; wherein the first preset threshold is the sum of the first inventory threshold, the total demand quantity of the target material within a first preset time period in the power grid material Internet of Things platform, and the demand quantity of the target material in the unplanned material demand;

[0059] When the inventory quantity of the target material is less than a first preset threshold, the remaining inventory quantity of the target material after executing the unplanned material demand is determined based on the inventory quantity of the first material, the demand quantity of the target material in the unplanned material demand, and the inventory quantity of the target material; wherein the first material is determined based on a pre-constructed power grid material knowledge graph.

[0060] In one possible implementation, the first determination module 210 is used to determine the first inventory threshold as the remaining inventory quantity of the target material after executing the unplanned material demand when the inventory quantity of the first material is greater than the second preset threshold; wherein the second preset threshold is the sum of the second inventory threshold, the total demand for the first material within the first preset period in the power grid material Internet of Things platform, and the first quantity, and the second inventory threshold is the minimum inventory value of the first material determined based on the material threshold model; the first quantity is determined based on the difference between the demand quantity of the target material in the unplanned material demand and the usage quantity of the target material; and the usage quantity of the target material is determined based on the difference between the inventory quantity of the target material and the first inventory threshold.

[0061] In one possible implementation, the first determining module 210 is configured to, when the inventory quantity of the first material is less than the second preset threshold, determine the second inventory threshold as the remaining inventory quantity of the first material after the unplanned material demand is fulfilled;

[0062] Based on the required quantity of the target material in the unplanned material demand, the second inventory threshold of the first material and the inventory quantity thereof, and the inventory quantity of the target material, the remaining inventory quantity of the target material after the unplanned material demand is executed is determined.

[0063] In one possible implementation, the first determination module 210 is used to trigger a procurement warning when the remaining inventory quantity of the target material after executing the unplanned material demand is less than the first inventory threshold, and send the procurement warning and the first replenishment strategy to the procurement platform for repeated reminders until the reminder is stopped after receiving the prompt that the order of the first replenishment strategy is completed.

[0064] In a possible implementation, the demand information includes demand time and demand quantity;

[0065] The second determining module 220 is configured to determine a first required quantity of the target material in the power grid material IoT platform based on the first procurement time of the target material and the demand time of the target material in the power grid material IoT platform; wherein the first procurement time is the time from when the purchase order of the target material is placed to when the target material is delivered, and the demand time corresponding to the first required quantity is less than the first procurement time;

[0066] When the first demand quantity is greater than the remaining inventory quantity, a first temporary storage quantity of the target material is issued to the material receiving department in the power grid material Internet of Things platform; wherein the first temporary storage quantity is the quantity of the target material to be used after the second preset time, and the second preset time is greater than the first procurement time;

[0067] Based on the first temporary storage quantity, remaining inventory quantity, first demand quantity and purchase quantity of the target material reported by the department that has received the materials, the first supply strategy of the target material is determined; wherein the purchase quantity of the target material is determined based on the demand quantity of the target material, the remaining inventory quantity of the target material and the first inventory threshold in the power grid material Internet of Things platform.

[0068] In one possible implementation, the second determination module 220 is configured to input the target material purchase quantity and the earliest demand time corresponding to the target material of the second demand quantity into a pre-built transportation strategy model to determine a procurement strategy for the target material of the purchase quantity; wherein the target material of the second demand quantity is the target material in the power grid material Internet of Things platform minus the target material of the first demand quantity;

[0069] When the first temporary storage quantity reported by the department that has received the materials is greater than or equal to the second required quantity, the target materials of the second required quantity reported by the department that has received the materials are issued for recovery; wherein the second required quantity is the difference between the first required quantity and the remaining inventory quantity.

[0070] In one possible implementation, the second determination module 220 is used to issue a recovery module for the target material of the first temporary storage quantity reported by the department that has received the material when the first temporary storage quantity reported by the department that has received the material is less than the second demand quantity, and input the demand time corresponding to the third demand quantity and the first demand quantity into the transportation strategy model to determine the procurement strategy for the target material of the third demand quantity; wherein the third demand quantity is the difference between the second demand quantity and the first temporary storage quantity.

[0071] Figure 3 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 3As shown, the electronic device 3 of this embodiment includes a processor 30 and a memory 31. The memory 31 stores a computer program 32. When the processor 30 executes the computer program 32, the steps of the above-described method embodiments are implemented. Alternatively, when the processor 30 executes the computer program 32, the functions of the modules / units in the above-described device embodiments are implemented.

[0072] Exemplarily, the computer program 32 may be divided into one or more modules / units, which are stored in the memory 31 and executed by the processor 30 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 32 in the electronic device 3.

[0073] The electronic device 3 may include, but is not limited to, a processor 30 and a memory 31. Those skilled in the art will appreciate that Figure 3 It is only an example of electronic device 3 and does not constitute a limitation of electronic device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, electronic device 3 may also include input and output devices, network access devices, buses, etc.

[0074] For the sake of convenience and brevity, the division of the above functional modules / units is only used as an example. In actual applications, the above functions can be assigned to different functional modules / units as needed. The above modules / units can be implemented in the form of hardware, software, or a combination of hardware and software.

[0075] In the above embodiments, the descriptions of each embodiment have their own focus. For parts not described or recorded in detail in one embodiment, please refer to the relevant descriptions of other embodiments. Unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other. The technical features of different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0076] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for analyzing power grid material supply and demand based on data analysis, characterized in that: include: When receiving an unplanned material demand notification, determining the remaining inventory quantity of the target material after fulfilling the unplanned material demand based on the required quantity of the target material in the unplanned material demand and the inventory quantity of the target material; wherein the unplanned material demand refers to the demand that has not been reported to the power grid material Internet of Things platform within a preset time period before the day of use; When the remaining inventory quantity of the target material is less than a first inventory threshold, a first replenishment strategy for the target material is determined based on the demand information of the target material in the power grid material Internet of Things platform, the remaining inventory quantity of the target material, and the first inventory threshold; wherein the first inventory threshold is the minimum inventory value of the target material determined based on the material threshold model.

2. The method for analyzing power grid material supply and demand based on data analysis according to claim 1, characterized in that: The determining, based on the required quantity of the target material in the unplanned material demand and the inventory quantity of the target material, the remaining inventory quantity of the target material after executing the unplanned material demand includes: When the inventory quantity of the target material is greater than a first preset threshold, the remaining inventory quantity of the target material is determined based on the difference between the inventory quantity of the target material and the demand quantity of the target material; wherein the first preset threshold is the sum of the first inventory threshold, the total demand quantity of the target material in the first preset time period in the power grid material Internet of Things platform, and the demand quantity of the target material in the unplanned material demand; When the inventory quantity of the target material is less than the first preset threshold, the remaining inventory quantity of the target material after executing the unplanned material demand is determined based on the inventory quantity of the first material, the demand quantity of the target material in the unplanned material demand, and the inventory quantity of the target material; wherein, the first material is determined based on a pre-constructed power grid material knowledge graph.

3. The method for analyzing power grid material supply and demand based on data analysis according to claim 2, characterized in that: The determining, based on the inventory quantity of the first material, the required quantity of the target material in the unplanned material demand, and the inventory quantity of the target material, of the remaining inventory quantity of the target material after the unplanned material demand is executed includes: When the inventory quantity of the first material is greater than the second preset threshold, the first inventory threshold is determined as the remaining inventory quantity of the target material after executing the unplanned material demand; wherein, the second preset threshold is the sum of the second inventory threshold, the total demand for the first material within the first preset period in the power grid material Internet of Things platform, and the first quantity, and the second inventory threshold is the minimum inventory value of the first material determined based on the material threshold model; the first quantity is determined based on the difference between the demand quantity of the target material in the unplanned material demand and the usage quantity of the target material; the usage quantity of the target material is determined based on the difference between the inventory quantity of the target material and the first inventory threshold.

4. The method for analyzing power grid material supply and demand based on data analysis according to claim 3, characterized in that: When the inventory quantity of the first material is less than the second preset threshold, the second inventory threshold is determined as the remaining inventory quantity of the first material after the unplanned material demand is fulfilled; Based on the required quantity of the target material in the unplanned material demand, the second inventory threshold of the first material and the inventory quantity thereof, and the inventory quantity of the target material, the remaining inventory quantity of the target material after executing the unplanned material demand is determined.

5. The method for analyzing power grid material supply and demand based on data analysis according to claim 4, characterized in that: The method further comprises: When the remaining inventory quantity of the target material after executing the unplanned material demand is less than the first inventory threshold, a procurement warning is triggered, and the procurement warning and the first replenishment strategy are sent to the procurement platform for repeated reminders until a prompt indicating that the order of the first replenishment strategy is completed is received, and the reminder stops.

6. The method for analyzing power grid material supply and demand based on data analysis according to claim 1, characterized in that: The demand information includes demand time and demand quantity; The determining of a first replenishment strategy for the target material based on the demand information of the target material in the power grid material Internet of Things platform, the remaining inventory quantity of the target material, and the first inventory threshold includes: Determine a first required quantity of the target material in the power grid material Internet of Things platform based on the first procurement time of the target material and the demand time of the target material in the power grid material Internet of Things platform; wherein the first procurement time is the time from the placement of the purchase order to the delivery of the target material, and the demand time corresponding to the first required quantity is less than the first procurement time; When the first demand quantity is greater than the remaining inventory quantity, a first temporary storage quantity of the target material is issued to the material receiving department in the power grid material Internet of Things platform; wherein the first temporary storage quantity is the quantity of the target material to be used after a second preset time, and the second preset time is greater than the first procurement time; Based on the first temporary storage quantity, the remaining inventory quantity, the first demand quantity and the purchase quantity of the target material reported by the department that has received the materials, the first replenishment strategy of the target material is determined; wherein the purchase quantity of the target material is determined based on the demand quantity of the target material, the remaining inventory quantity of the target material and the first inventory threshold in the power grid material Internet of Things platform.

7. The method for analyzing power grid material supply and demand based on data analysis according to claim 6, characterized in that: The determining of a first replenishment strategy for the target material based on the first temporary storage quantity reported by the department that has received the materials, the remaining inventory quantity, the first demand quantity, and the purchase quantity of the target material includes: Input the purchase quantity of the target material and the earliest demand time corresponding to the second demand quantity of the target material into a pre-built transportation strategy model to determine the procurement strategy of the target material of the purchase quantity; wherein the second demand quantity of the target material is the target material in the power grid material Internet of Things platform minus the first demand quantity of the target material; When the first temporary storage quantity reported by the department that has received the materials is greater than or equal to the second demand quantity, the target materials of the second demand quantity reported by the department that has received the materials are issued for recovery; wherein the second demand quantity is the difference between the first demand quantity and the remaining inventory quantity.

8. The method for analyzing power grid material supply and demand based on data analysis according to claim 7, characterized in that: The method further comprises: When the first temporary storage quantity reported by the department that has received the materials is less than the second demand quantity, the target materials of the first temporary storage quantity reported by the department that has received the materials are issued for recovery, and the demand time corresponding to the third demand quantity and the first demand quantity is input into the transportation strategy model to determine the procurement strategy for the target materials of the third demand quantity; wherein, the third demand quantity is the difference between the second demand quantity and the first temporary storage quantity.

9. A power grid material supply and demand analysis device based on data analysis, characterized in that: include: A first determining module is configured to, upon receiving a notification of an unplanned material demand, determine the remaining inventory quantity of the target material after fulfilling the unplanned material demand based on the required quantity of the target material in the unplanned material demand and the inventory quantity of the target material; wherein the unplanned material demand refers to a demand that has not been reported to the power grid material Internet of Things platform within a preset time period before the day of use; The second determination module is used to determine a first replenishment strategy for the target material based on the demand information of the target material in the power grid material Internet of Things platform, the remaining inventory quantity of the target material and the first inventory threshold when the remaining inventory quantity of the target material is less than the first inventory threshold; wherein the first inventory threshold is the minimum inventory value of the target material determined based on the material threshold model.

10. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

Images