Electric power marketing whole-process risk early warning method and equipment based on knowledge graph

Abstract

The invention relates to the technical field of electric power marketing, and particularly discloses an electric power marketing whole-process risk early warning method and device based on a knowledge graph, and the method comprises the steps: obtaining electric power marketing risk index data from an electric power marketing knowledge graph, and the electric power marketing risk index data comprises credit risk data and market risk data; performing analysis according to the credit risk data to obtain a credit risk assessment value of each electricity marketing stage, performing analysis according to the market risk data to obtain a market risk assessment value of each electricity marketing stage, and performing comprehensive analysis to obtain an electricity marketing full-process risk assessment parameter; and carrying out risk early warning on the electric power marketing whole process according to the electric power marketing whole process risk assessment parameters, and dynamically updating the electric power marketing knowledge graph. By dynamically updating the knowledge graph, the method adapts to the dynamic change of the power market, makes up for the defects of input data, and helps to improve the accuracy and effectiveness of risk assessment and optimize marketing decisions.

Description

Technical Field

[0001] The present invention relates to the field of power marketing technology, and specifically to a risk early warning method and device for the entire process of power marketing based on a knowledge graph. Background Art

[0002] As an important part of the power industry, power marketing involves multiple links such as power production, transmission, distribution and sales. With the rapid development of the power market and the increasing complexity of the power system, the power marketing field is facing more and more risks and challenges. These risks include but are not limited to unstable power supply, market fluctuations, customer credit risk, billing errors, data security and other issues.

[0003] For example, the invention patent with publication number CN116523294A is a power grid risk warning and decision-making system, method and equipment based on knowledge graph. The system includes a data acquisition module, a graph construction module and a warning and auxiliary module; the data acquisition module is used to collect power data of the power system; the graph construction module is used to construct a relational knowledge graph based on the power data; the warning and auxiliary module is used to merge the abnormal alarm signals of the equipment in the power grid abnormal signal graph to obtain the risk prediction of power system failure; the abnormal signal of the power grid is used as a trigger condition, and a fault handling plan is generated according to the power grid knowledge base graph and the power grid risk graph and the expert fault handling knowledge graph. The system collects power data through the data acquisition module, the graph construction module constructs a relational knowledge graph based on the power data, and the warning and auxiliary module realizes intelligent warning of power data and prejudgment of risks and outputs fault handling plans, providing strong support services for risk management.

[0004] For example, the invention patent with publication number CN118428872A is a method and system for abnormal real-time dynamic early warning and control for power marketing, which involves the field of internal control management of power marketing. The specific scheme includes: using the improved verification rule base to perform mandatory verification on the integrity of customer basic file information and the integrity and accuracy of billing parameters involved in each process and link of power marketing, and obtain pre-verification results; according to the improved early warning and control rule base, real-time monitoring and abnormal early warning of current in-transit business processes are carried out to obtain in-process early warning results; based on the improved audit subject rule base, the whole power marketing business is audited to obtain post-audit results; according to the pre-verification results, in-process early warning results and post-audit results, abnormal real-time dynamic early warning and control are carried out; this application has greatly improved the level of internal control management of marketing, strengthened the real-time dynamic early warning and control of abnormalities in all links of the whole marketing business, and brought good economic and social benefits to the enterprise.

[0005] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, it was found that the above technology has at least the following technical problems: the construction of the knowledge graph depends on high-quality and complete data, while the power market environment has the characteristics of dynamic change, and the input data of the knowledge graph may be defective or incomplete, affecting the accuracy and effectiveness of the power marketing risk warning. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides a risk warning method and device for the entire process of power marketing based on knowledge graph, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides a risk warning method for the entire process of power marketing based on a knowledge graph, including: obtaining power marketing risk indicator data from the power marketing knowledge graph, and the power marketing risk indicator data includes credit risk data and market risk data.

[0008] Based on the credit risk data analysis, the credit risk assessment value of each power marketing stage is obtained. Based on the market risk data analysis, the market risk assessment value of each power marketing stage is obtained. Comprehensive analysis is conducted to obtain the risk assessment parameters of the entire power marketing process.

[0009] Based on the risk assessment parameters of the entire power marketing process, risk warnings are issued for the entire power marketing process, and the power marketing knowledge graph is dynamically updated.

[0010] As a further method, the credit risk assessment value of each power marketing stage is obtained based on the credit risk data analysis. The specific analysis process is: the power marketing process is divided into stages, and the credit risk data includes the default rate, debt burden and historical number of marketing participation of each marketing object in each power marketing stage.

[0011] Comprehensive analysis is conducted to obtain the credit risk assessment value for each power marketing stage.

[0012] As a further method, the market risk assessment value for each power marketing stage is obtained based on the market risk data analysis. The specific analysis process is: deploying several time monitoring points, and the market risk data include the market power supply, market power consumption and market electricity price at each time monitoring point in each power marketing stage.

[0013] The difference between the market electricity supply and the market electricity consumption is calculated, and the difference result is marked as the electricity supply and demand difference. The market risk assessment value of each electricity marketing stage is obtained through comprehensive analysis.

[0014] As a further method, the comprehensive analysis obtains risk assessment parameters for the entire power marketing process. The specific analysis process is: based on the credit risk assessment values ​​of each power marketing stage and the market risk assessment values ​​of each power marketing stage, comprehensive analysis is performed to obtain risk assessment parameters for the entire power marketing process.

[0015] As a further method, the risk warning of the whole process of power marketing is carried out according to the risk assessment parameters of the whole process of power marketing. The specific process is: obtaining the preset risk assessment parameter threshold of the whole process of power marketing from the power marketing database, and comparing the risk assessment parameter of the whole process of power marketing with the risk assessment parameter threshold of the whole process of power marketing. If the risk assessment parameter of the whole process of power marketing is less than the risk assessment parameter threshold of the whole process of power marketing, the risk of the whole process of power marketing is assessed as a low risk level; if the risk assessment parameter of the whole process of power marketing is greater than or equal to the risk assessment parameter threshold of the whole process of power marketing, the risk of the whole process of power marketing is assessed as a high risk level, and a warning feedback is carried out.

[0016] As a further method, the power marketing knowledge graph is dynamically updated, and the specific process is: obtaining the risk assessment result of the entire power marketing process, and if the risk assessment result of the entire power marketing process is a high risk level, the power marketing knowledge graph is immediately updated.

[0017] If the risk assessment result of the entire power marketing process is a low risk level, the power marketing knowledge graph will be dynamically updated according to the preset update frequency.

[0018] As a further method, the power marketing knowledge graph is dynamically updated according to a preset update frequency. The specific process is: deploy a power data monitoring cycle, obtain the average power supply and demand difference within the monitoring cycle, compare the average power supply and demand difference with the update frequency corresponding to each average power supply and demand difference interval stored in the power marketing database, and match it to obtain the dynamic update frequency of the power marketing knowledge graph.

[0019] The power marketing knowledge graph is dynamically updated according to the dynamic update frequency of the power marketing knowledge graph.

[0020] The second aspect of the present invention provides a risk warning device for the entire process of power marketing based on a knowledge graph, comprising: a memory and a processor; wherein the memory is a memory for storing executable instructions of the processor; the processor is configured to execute the risk warning method for the entire process of power marketing based on a knowledge graph provided in the present invention.

[0021] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a risk warning method and device for the entire process of power marketing based on knowledge graphs, which helps to comprehensively evaluate credit and market risks and realize risk warning for the entire process. By dynamically updating the knowledge graph, adapting to the dynamic changes of the power market, and compensating for input data defects, it helps to improve the accuracy and effectiveness of risk assessment, optimize marketing decisions, enhance the ability of enterprises to respond to market changes, promote the rational allocation of resources, improve risk management, and ensure the stability and sustainable development of power marketing.

[0022] (2) The present invention more accurately evaluates the credit risk level of the marketing target by analyzing the default rate, debt burden and the number of historical marketing participations, provides a basis for formulating personalized marketing strategies, and helps identify potential high-quality customers and high-risk customers. At the same time, by analyzing the default rate, debt burden and the number of historical marketing participations, it helps to predict the future behavior trends of the marketing target and optimize the allocation of power marketing resources to improve marketing effectiveness and customer satisfaction.

[0023] (3) The present invention can conduct a more accurate market risk assessment through a comprehensive analysis of the power supply-demand gap and the market electricity price. By comprehensively considering supply, demand and price factors, the present invention can comprehensively assess the market risk level faced by power marketing at different stages, which can help optimize power marketing strategies and improve the stability and reliability of power services. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0025] Figure 1 It is a schematic diagram of the method flow of the present invention. DETAILED DESCRIPTION

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0027] Reference Figure 1 As shown, the first aspect of the present invention provides a risk warning method for the entire process of power marketing based on a knowledge graph, including: obtaining power marketing risk indicator data from the power marketing knowledge graph, wherein the power marketing risk indicator data includes credit risk data and market risk data.

[0028] It should be understood that the power marketing knowledge graph in this embodiment is a technical architecture that integrates and visualizes knowledge, data, and relationships in the field of power marketing. It builds a comprehensive and structured knowledge network by analyzing and associating various types of information related to power marketing, such as user information, power consumption behavior, market trends, etc. By visualizing the knowledge graph, anomalies and trends in the data can be intuitively discovered. For example, it is obvious in the visualization chart that the electricity consumption in a certain area has been lower than the average level for a long time, which may indicate that there are risks such as economic downturn or power supply problems in the area, and then relevant risk indicator data can be extracted.

[0029] Based on the credit risk data analysis, the credit risk assessment value of each power marketing stage is obtained. Based on the market risk data analysis, the market risk assessment value of each power marketing stage is obtained. Comprehensive analysis is conducted to obtain the risk assessment parameters of the entire power marketing process.

[0030] Based on the risk assessment parameters of the entire power marketing process, risk warnings are issued for the entire power marketing process, and the power marketing knowledge graph is dynamically updated.

[0031] Specifically, the credit risk assessment value of each power marketing stage is obtained based on the credit risk data analysis. The specific analysis process is: the power marketing process is divided into stages, and the credit risk data includes the default rate, debt burden and historical number of marketing participation of each marketing object in each power marketing stage.

[0032] It should be understood that the stage division of the power marketing process in this embodiment is based on the inherent logical relationship and sequence of various power marketing activities. The risks faced by each stage are different, and the management focus is also different. For example, in the signing stage, the main focus is on the risks of contract terms, while in the customer maintenance stage, more attention is paid to the risk of loss caused by decreased customer satisfaction. By dividing the entire power marketing process into stages, the focus and goals of each stage can be clarified, so that resources can be allocated more accurately. For example, in the customer acquisition stage, marketing resources are concentrated to attract new customers, and in the power supply service stage, the focus is on ensuring the stability of power supply and service quality. At the same time, work efficiency and synergy can be improved, and risks can be better identified and managed. The risk characteristics of each stage are different, and the stage division makes risk identification more targeted, and then effective risk response measures are taken. The division of power marketing stages helps to standardize and refine the management of power marketing work, and improve the overall operation effect and market competitiveness.

[0033] It should be understood that the default rate of the marketing object in this embodiment refers to the ratio of the number of default behaviors in the business dealings between the marketing object and the power supplier to the total number of its business behaviors. The debt burden of the marketing object is used to measure the debt pressure borne by the marketing object, including unpaid electricity bills, overdue fees and possible other debts related to electricity use, which can be expressed as the accumulated amount of arrears. The number of historical marketing participations of the marketing object records the number of times the marketing object has participated in power marketing activities in the past, which can help understand the responsiveness and activity of the marketing object to power marketing activities.

[0034] Comprehensive analysis is conducted to obtain the credit risk assessment value for each power marketing stage.

[0035] In a specific embodiment, the critical default rate and critical debt burden are obtained from the power marketing database, and the credit risk assessment value of each power marketing stage is obtained through comprehensive analysis. The specific numerical expression is:

[0036] In the formula, represents the credit risk assessment value of the i-th power marketing stage, represents the default rate of the t-th marketing object in the ith power marketing stage, represents the debt burden of the t-th marketing object in the ith power marketing stage, represents the historical number of times the t-th marketing object participated in the marketing in the i-th power marketing stage, represents the critical default rate, represents the critical debt burden, Indicates the credit risk assessment impact factor corresponding to the preset default rate, It represents the credit risk assessment influencing factor corresponding to the preset debt burden, i represents the number of each power marketing stage, i=1,2,3,...,n, n represents the total number of power marketing stages, t represents the number of each marketing object, t=1,2,3,...,s, s represents the total number of marketing objects.

[0037] It should be understood that in this embodiment, the default rate, debt burden and historical number of marketing participation of the marketing object are comprehensively analyzed to calculate the credit risk assessment value of each power marketing stage. There is a correlation between the default rate, debt burden and the number of historical marketing participations. A higher default rate often means that the marketing object has major problems in paying fees, which may lead to an increase in debt burden. The default rate is also related to the number of historical marketing participations. If a marketing object has a large number of historical marketing participations, but the default rate is also high, it may indicate that although it is interested in various marketing activities, it lacks integrity in the actual performance of obligations. On the contrary, if the number of participations is high and the default rate is low, it shows that it is an active and reliable customer. At the same time, when a marketing object has a heavy debt burden, but it still actively participates in marketing activities, it may imply that it has the intention to improve its own situation, but there may also be a problem of over-reliance on preferential activities and ignoring debt resolution. On the contrary, if the debt burden is light and the number of participations is small, it may mean that it is relatively satisfied with the existing power service or is not attractive enough for marketing activities. Through a comprehensive analysis of these three factors, the credit risk level of the marketing object can be more accurately assessed, providing a basis for formulating personalized marketing strategies and helping to identify potential high-quality customers and high-risk customers. By analyzing the default rate, debt burden and historical marketing participation times, it helps to predict the future behavioral trends of marketing targets and optimize the allocation of power marketing resources to improve marketing effectiveness and customer satisfaction.

[0038] It should be understood that the credit risk assessment influencing factors corresponding to the default rate and debt burden in this embodiment can be obtained from the power marketing database, and the value range of the credit risk assessment influencing factors corresponding to the default rate and debt burden is between 0 and 1. Through the relationship between the default rate and debt burden in the historical data and the credit risk assessment value of the power marketing stage, a mapping set of the default rate and debt burden and the corresponding credit risk assessment influencing factors is constructed, and the default rate and debt burden are input to obtain the credit risk assessment influencing factors corresponding to the default rate and the credit risk assessment influencing factors corresponding to the debt burden from the mapping set.

[0039] Table 1 Example of credit risk assessment data in the power marketing stage

[0040] As shown in Table 1, in a specific embodiment, =0.2, =100,000 yuan, =0.6, = 0.4, s = 1. In this embodiment, the credit risk assessment value of each power marketing stage is used to measure the credit risk degree of the marketing object in each power marketing stage, which is jointly determined by the default rate, debt burden and historical marketing participation times of each marketing object. The larger the default rate and debt burden, the smaller the historical marketing participation times, and the larger the corresponding credit risk assessment value of the power marketing stage, indicating that the credit risk of the marketing object in this power marketing stage is higher.

[0041] Specifically, the market risk assessment value of each power marketing stage is obtained based on the market risk data analysis. The specific analysis process is: deploying several time monitoring points, and the market risk data includes the market power supply, market power consumption and market electricity price at each time monitoring point in each power marketing stage.

[0042] It should be understood that in this embodiment, the market power supply includes the power generation and power reserve at the monitoring point at the current time, and the market power consumption refers to the total power consumption in the target area of ​​the monitoring point at the current time.

[0043] The difference between the market electricity supply and the market electricity consumption is calculated, and the difference result is marked as the electricity supply and demand difference. The market risk assessment value of each electricity marketing stage is obtained through comprehensive analysis.

[0044] In a specific embodiment, the reference power supply and demand difference and the allowable deviation power supply and demand difference are obtained from the power marketing database, and the market risk assessment value of each power marketing stage is obtained by comprehensive analysis. The specific numerical expression is:

[0045] In the formula, represents the market risk assessment value of the i-th power marketing stage, represents the difference between electricity supply and demand at the rth time monitoring point in the i-th electricity marketing stage, represents the market electricity price at the rth time monitoring point in the i-th power marketing stage, It refers to the difference between supply and demand of electricity. Indicates the allowable deviation between electricity supply and demand. Indicates the market risk assessment impact factor corresponding to the preset power supply and demand gap, It represents the market risk assessment influencing factor corresponding to the preset market electricity price, i represents the number of each power marketing stage, i=1,2,3,...,n, n represents the total number of power marketing stages, r represents the number of each time monitoring point, r=1,2,3,...,h, h represents the total number of time monitoring points.

[0046] It should be understood that in this embodiment, the power supply and demand difference and market electricity price factors in each power marketing stage are comprehensively analyzed to obtain the market risk assessment value of the power marketing stage. There is a correlation between the power supply and demand difference and the market electricity price. When the power supply and demand difference is positive, that is, when supply exceeds demand, the market electricity price often has downward pressure. This indicates that there is an oversupply in the power market, and in order to stimulate demand, power suppliers may lower prices. On the contrary, when the power supply and demand difference is negative, that is, when supply exceeds demand, the market electricity price usually rises to adjust demand and balance the market. This correlation effect can reflect the equilibrium state of the market and help determine whether the power market is in a loose state of oversupply or a tense state of insufficient supply. The level of electricity prices directly affects consumers' electricity usage habits and the degree of demand for electricity, helps guide resource allocation, and provides a basis for investment and production decisions of power companies. Through a comprehensive analysis of the power supply and demand difference and the market electricity price, a more accurate market risk assessment can be carried out, and the supply, demand and price factors can be comprehensively considered to comprehensively assess the market risk level faced by power marketing at different stages, which can help optimize power marketing strategies and improve the stability and reliability of power services. At the same time, through comprehensive analysis of the electricity supply and demand gap and market electricity prices, it can help predict market trends, provide a forecast basis for future electricity supply and demand and price changes, and make preparations in advance.

[0047] It should be understood that, in this embodiment, the market risk assessment influencing factors corresponding to the power supply and demand difference and the market electricity price can be obtained from the power marketing database, and the value range of the market risk assessment influencing factors corresponding to the power supply and demand difference and the market electricity price is between 0 and 1. Through the relationship between the power supply and demand difference and the market electricity price in the historical data and the market risk assessment value in the power marketing stage, a mapping set of the power supply and demand difference and the market electricity price and the corresponding market risk assessment influencing factors is constructed, the power supply and demand difference and the market electricity price are input, and the market risk assessment influencing factors corresponding to the power supply and demand difference and the market risk assessment influencing factors corresponding to the market electricity price are obtained from the mapping set.

[0048] It should be understood that the market risk assessment value of each power marketing stage in the present embodiment is used to measure the degree of market risk of each power marketing stage, which is jointly determined by the power supply and demand difference and the market electricity price. The more the power supply and demand difference deviates from the reference standard value and the more the market electricity price deviates from the average electricity price, the larger the corresponding market risk assessment value of the power marketing stage is, indicating that the market risk of the power marketing stage is higher.

[0049] Specifically, comprehensive analysis is performed to obtain risk assessment parameters for the entire power marketing process. The specific analysis process is as follows: based on the credit risk assessment values ​​of each power marketing stage and the market risk assessment values ​​of each power marketing stage, comprehensive analysis is performed to obtain risk assessment parameters for the entire power marketing process.

[0050] In a specific embodiment, the full-process risk assessment influencing factors corresponding to the preset credit risk assessment values ​​and market risk assessment values ​​are obtained from the power marketing database, and the full-process risk assessment parameters of power marketing are obtained through comprehensive analysis. The specific numerical expression is:

[0051] In the formula, It represents the risk assessment parameter of the whole process of power marketing. represents the credit risk assessment value of the i-th power marketing stage, represents the market risk assessment value of the i-th power marketing stage, Indicates the full-process risk assessment impact factor corresponding to the preset credit risk assessment value. It represents the full-process risk assessment influencing factor corresponding to the preset market risk assessment value, i represents the number of each power marketing stage, i=1,2,3,...,n, and n represents the total number of power marketing stages.

[0052] It should be understood that in this embodiment, the credit risk assessment value of the power marketing stage and the market risk assessment value of the power marketing stage are comprehensively analyzed to obtain the risk assessment parameters of the entire power marketing process. Credit risk and market risk affect each other. When market risk increases, such as when market electricity prices fluctuate violently or when power supply and demand are seriously unbalanced, some marketing objects may face economic pressure, thereby increasing credit risk, which is manifested as an increase in default rate and an increase in debt burden. Conversely, higher credit risk, that is, a large number of marketing objects have poor credit status, may affect the overall stability and confidence of the market, thereby exacerbating market risk. This association can reflect the overall operating environment and provide a reference for the allocation of internal resources of the enterprise between risk control and business development. Through a comprehensive analysis of credit risk and market risk, accurate risk warnings can be carried out, major risk events that may occur can be identified in advance, and countermeasures can be taken in a timely manner. According to the risk level of different stages and regions, resources are invested in a targeted manner for management and control. By comprehensively considering the two risks, a comprehensive risk response strategy is formulated to enhance the adaptability and survival ability of enterprises in a complex market environment.

[0053] It should be understood that in this embodiment, the value range of the full-process risk assessment influencing factors corresponding to the credit risk assessment value and the market risk assessment value is between 0 and 1. Through the relationship between the credit risk assessment value and the market risk assessment value in the historical data and the risk assessment parameters of the power marketing full process, a mapping set of the credit risk assessment value and the market risk assessment value and the corresponding full-process risk assessment influencing factors is constructed, and the credit risk assessment value and the market risk assessment value are input to obtain the full-process risk assessment influencing factors corresponding to the credit risk assessment value and the full-process risk assessment influencing factors corresponding to the market risk assessment value from the mapping set.

[0054] It should be understood that in this embodiment, the risk assessment parameters of the entire power marketing process are used to quantitatively assess the risk level of the entire power marketing process. The larger the credit risk assessment value and the market risk assessment value in the power marketing stage, the larger the corresponding risk assessment parameters of the entire power marketing process, indicating that the risk of the entire power marketing process is higher.

[0055] Specifically, risk warning is carried out for the whole process of power marketing according to the risk assessment parameters of the whole process of power marketing. The specific process is: obtain the preset risk assessment parameter threshold of the whole process of power marketing from the power marketing database, compare the risk assessment parameter of the whole process of power marketing with the risk assessment parameter threshold of the whole process of power marketing, if the risk assessment parameter of the whole process of power marketing is less than the risk assessment parameter threshold of the whole process of power marketing, then the risk of the whole process of power marketing is assessed as a low risk level; if the risk assessment parameter of the whole process of power marketing is greater than or equal to the risk assessment parameter threshold of the whole process of power marketing, then the risk of the whole process of power marketing is assessed as a high risk level, and early warning feedback is carried out.

[0056] It should be understood that the early warning feedback in this embodiment includes activating an emergency risk response mechanism, forming a special risk response team, and deeply analyzing the source, scope of impact, and possible development trend of the risk. Re-evaluate the current marketing strategy, and adjust or suspend the strategy that may lead to increased risk. Monitor and analyze the power market more closely, keep abreast of market trends, and provide a basis for decision-making.

[0057] It should be understood that in this embodiment, if the risk assessment parameter of the entire power marketing process is less than the threshold value of the risk assessment parameter of the entire power marketing process, it indicates that the risk of current power marketing is within a controllable range. In this case, the existing marketing strategy and operation mode can be maintained, but it is still necessary to continuously monitor the changes in the risk assessment parameters, remain vigilant to potential risk factors, and conduct regular risk assessment and early warning work.

[0058] Specifically, the power marketing knowledge graph is dynamically updated, and the specific process is: obtaining the risk assessment results of the entire power marketing process.

[0059] If the risk assessment result of the entire power marketing process is a high risk level, the power marketing knowledge graph will be updated immediately.

[0060] It should be understood that in this embodiment, when the risk assessment result of the entire process of power marketing is a high risk level, the power marketing knowledge graph is updated immediately to ensure the accuracy of the information, to reflect the latest risk status and related factors in a timely manner, and to provide the most accurate basis for subsequent decision-making and response measures. Immediately updating the knowledge graph helps to quickly adjust marketing strategies and risk control measures to reduce potential losses, provide the latest and comprehensive knowledge graph to management, and assist in formulating effective risk response strategies.

[0061] If the risk assessment result of the entire power marketing process is a low risk level, the power marketing knowledge graph will be dynamically updated according to the preset update frequency.

[0062] Specifically, the power marketing knowledge graph is dynamically updated according to the preset update frequency. The specific process is: deploy a power data monitoring cycle, obtain the average power supply and demand difference within the monitoring cycle, compare the average power supply and demand difference with the update frequency corresponding to each average power supply and demand difference interval stored in the power marketing database, and match the dynamic update frequency of the power marketing knowledge graph.

[0063] It should be understood that in this embodiment, a mapping set of average electricity supply and demand difference intervals and knowledge graph update frequencies is established based on historical data, the interval is determined based on the average electricity supply and demand difference, and the dynamic update frequency of the electricity marketing knowledge graph corresponding to the average electricity supply and demand difference interval is obtained from the mapping set.

[0064] It should be understood that the comparison and matching method in this embodiment can closely combine the update frequency with the actual changes in electricity supply and demand. For example, if the average electricity supply and demand difference is in a large fluctuation range, the corresponding update frequency may be higher, such as weekly updates, to quickly reflect the impact of drastic changes in the market on electricity marketing. If the average electricity supply and demand difference is relatively stable and in a smaller fluctuation range, the matching update frequency may be lower, such as monthly updates, while ensuring the effectiveness of the knowledge graph and avoiding the waste of resources caused by unnecessary frequent updates. In this way, the dynamic update frequency that is compatible with the current electricity supply and demand situation can be accurately obtained, ensuring that the power marketing knowledge graph can always provide timely, accurate and targeted information support for power marketing decisions.

[0065] The power marketing knowledge graph is dynamically updated according to the dynamic update frequency of the power marketing knowledge graph.

[0066] The second aspect of the present invention provides a risk warning device for the entire process of power marketing based on a knowledge graph, comprising: a memory and a processor; wherein the memory is a memory for storing executable instructions of the processor; the processor is configured to execute the risk warning method for the entire process of power marketing based on a knowledge graph provided by the above invention.

[0067] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. A risk early warning method for the entire process of power marketing based on knowledge graph, characterized in that: include: Acquire power marketing risk indicator data from the power marketing knowledge graph, wherein the power marketing risk indicator data includes credit risk data and market risk data; The credit risk assessment value of each power marketing stage is obtained by analyzing the credit risk data, the market risk assessment value of each power marketing stage is obtained by analyzing the market risk data, and the risk assessment parameters of the entire power marketing process are obtained by comprehensive analysis; Based on the risk assessment parameters of the entire power marketing process, risk warnings are issued for the entire power marketing process, and the power marketing knowledge graph is dynamically updated.

2. The risk early warning method for the entire process of power marketing based on knowledge graph according to claim 1 is characterized by: The credit risk assessment value of each power marketing stage is obtained by analyzing the credit risk data. The specific analysis process is as follows: The power marketing process is divided into stages, and the credit risk data includes the default rate, debt burden and historical number of marketing participation of each marketing object in each power marketing stage; Comprehensive analysis is conducted to obtain the credit risk assessment value for each power marketing stage.

3. The risk early warning method for the entire process of power marketing based on knowledge graph according to claim 1 is characterized by: The market risk assessment value of each power marketing stage is obtained by analyzing the market risk data. The specific analysis process is as follows: Deploy a number of time monitoring points, wherein the market risk data includes the market power supply, market power consumption and market power price at each time monitoring point in each power marketing stage; The difference between the market electricity supply and the market electricity consumption is calculated, and the difference result is marked as the electricity supply and demand difference. The market risk assessment value of each electricity marketing stage is obtained through comprehensive analysis.

4. The risk early warning method for the entire process of power marketing based on knowledge graph according to claim 3 is characterized by: The comprehensive analysis obtains the risk assessment parameters of the entire process of power marketing. The specific analysis process is as follows: Based on the credit risk assessment value at each power marketing stage and the market risk assessment value at each power marketing stage, a comprehensive analysis is conducted to obtain the risk assessment parameters for the entire power marketing process.

5. The method for early warning of risks in the entire process of power marketing based on knowledge graph according to claim 4 is characterized by: The risk warning of the whole process of power marketing is carried out according to the risk assessment parameters of the whole process of power marketing. The specific process is as follows: The preset power marketing full-process risk assessment parameter threshold is obtained from the power marketing database, and the power marketing full-process risk assessment parameter is compared with the power marketing full-process risk assessment parameter threshold. If the power marketing full-process risk assessment parameter is less than the power marketing full-process risk assessment parameter threshold, the power marketing full-process risk is assessed as a low risk level; if the power marketing full-process risk assessment parameter is greater than or equal to the power marketing full-process risk assessment parameter threshold, the power marketing full-process risk is assessed as a high risk level, and an early warning feedback is performed.

6. The method for early warning of risks in the entire process of power marketing based on knowledge graph according to claim 5 is characterized by: The specific process of dynamically updating the power marketing knowledge graph is as follows: Obtain risk assessment results for the entire power marketing process; If the risk assessment result of the entire power marketing process is a high risk level, the power marketing knowledge graph will be updated immediately; If the risk assessment result of the entire power marketing process is a low risk level, the power marketing knowledge graph will be dynamically updated according to the preset update frequency.

7. The risk early warning method for the entire process of power marketing based on knowledge graph according to claim 6 is characterized by: The specific process of dynamically updating the power marketing knowledge graph according to the preset update frequency is as follows: Deploy a power data monitoring cycle, obtain the average power supply and demand difference within the monitoring cycle, compare the average power supply and demand difference with the update frequency corresponding to each average power supply and demand difference interval stored in the power marketing database, and match it to obtain the dynamic update frequency of the power marketing knowledge graph; The power marketing knowledge graph is dynamically updated according to the dynamic update frequency of the power marketing knowledge graph.

8. The method for early warning of risks in the entire process of power marketing based on knowledge graph according to claim 2 is characterized by: The specific numerical expression of the credit risk assessment value at each power marketing stage is: In the formula, represents the credit risk assessment value of the i-th power marketing stage, represents the default rate of the t-th marketing object in the ith power marketing stage, represents the debt burden of the t-th marketing object in the ith power marketing stage, represents the historical number of times the t-th marketing object participated in the marketing in the i-th power marketing stage, represents the critical default rate, represents the critical debt burden, Indicates the credit risk assessment impact factor corresponding to the preset default rate, It represents the credit risk assessment influencing factor corresponding to the preset debt burden, i represents the number of each power marketing stage, i=1,2,3,...,n, n represents the total number of power marketing stages, t represents the number of each marketing object, t=1,2,3,...,s, s represents the total number of marketing objects.

9. The method for early warning of risks in the entire process of power marketing based on knowledge graph according to claim 4 is characterized by: The specific numerical expression of the risk assessment parameter of the whole process of power marketing is: In the formula, It represents the risk assessment parameter of the whole process of power marketing. represents the credit risk assessment value of the i-th power marketing stage, represents the market risk assessment value of the i-th power marketing stage, Indicates the full-process risk assessment impact factor corresponding to the preset credit risk assessment value. It represents the full-process risk assessment influencing factor corresponding to the preset market risk assessment value, i represents the number of each power marketing stage, i=1,2,3,...,n, and n represents the total number of power marketing stages.

10. The risk early warning device for the entire process of power marketing based on knowledge graph is characterized by: include: A memory and a processor; wherein the memory is a memory for storing instructions executable by the processor; The processor is configured to execute the knowledge graph-based risk warning method for the entire process of power marketing as described in any one of claims 1 to 9.

Images