Patent navigation method based on knowledge acquisition

Abstract

The invention relates to the field of patent navigation, in particular to a knowledge acquisition-based patent navigation method, which comprises the following steps of: determining target patent data of a target patent; determining a technical development period and extracting core technical features; constructing a patent knowledge graph; generating a technical layout thermodynamic diagram; evaluating technical maturity and competitive strength; performing priority ranking on the key nodes; and adjusting the technical route map. By analyzing patent data and drawing a technology layout thermodynamic diagram and a technology route map, the invention can clearly present the venation and trend of technology development, predict the future technology development direction, dynamically adjust the technology route map, timely grasp the latest technology development trend, adjust the research and development strategy, and improve the research and development efficiency. An enterprise can be helped to better understand the technical advantages and disadvantages of the enterprise, a reasonable research and development strategy is formulated, and the overall innovation ability and competitiveness are improved.

Description

Technical Field

[0001] The present invention relates to the field of patent navigation, and in particular, to a patent navigation method based on knowledge acquisition. Background Art

[0002] With the continuous acceleration of the global scientific and technological innovation pace, patents, as an important carrier of technological innovation achievements, are showing a rapid growth trend in terms of quantity and complexity. Patent data is not only a reflection of technological development but also an important manifestation of an enterprise's technological competitiveness. However, in the face of a vast amount of patent data, how to extract valuable technological information from it, identify technological development trends, and optimize R & D directions has become a major challenge faced by enterprises and research institutions.

[0003] In recent years, with the rapid development of big data technology and artificial intelligence, patent analysis has gradually developed in the direction of intelligence and systematization. Through technologies such as natural language processing, machine learning, and knowledge graphs, patent analysis can more deeply mine the technological features and semantic information in patent texts, construct an association network between patents, and reveal the evolutionary path of technological development.

[0004] Traditional patent analysis methods usually rely on manual retrieval and analysis, mainly through basic information such as the legal status of patents, applicant information, and technology classification numbers for preliminary screening and analysis. However, this method is inefficient and difficult to deeply mine the potential technological associations and development laws in patent data. In the context of increasingly fierce competition in the technological field, enterprises need more efficient and systematic methods to analyze patent data, reveal the internal logic of technological development, and assist decision-makers in formulating scientific technological R & D directions and patent layout strategies.

[0005] The patent document with the publication number CN110046148A discloses a patent navigation service management system based on big data, including an ontology library module, a patent management module, and a display module. The patent management module is connected to the ontology library module, the display module, and an electronic map module. The patent management module is also connected to a patent analysis module and a patent retrieval module. The ontology library module is used to establish a patent ontology library, and the patent ontology library stores similar keywords and the corresponding patent ontology links of the similar keywords.

[0006] Therefore, the following problems can be seen: The prior art cannot accurately navigate patent R & D and provide accurate and efficient R & D directions. Summary of the Invention

[0007] For this reason, the present invention provides a patent navigation method based on knowledge acquisition to overcome the problem in the prior art that patent R & D cannot be accurately navigated and accurate and efficient R & D directions cannot be provided by deeply mining technical knowledge to accurately identify technical trends.

[0008] To achieve the above object, the present invention provides a patent navigation method based on knowledge acquisition, including:

[0009] Obtaining target patents in the target technical field;

[0010] Dividing the target patents and determining the technology development periods based on the technology classification numbers and time series;

[0011] Constructing a patent knowledge graph according to the citation relationship and claim overlap degree among the target patents;

[0012] Determining a technology layout heat map based on the technology development periods and the patent knowledge graph;

[0013] Evaluating the technology maturity and competition intensity of the intended technology R & D direction based on the intended technology R & D direction and the technology layout heat map;

[0014] Generating a technology roadmap according to the technology maturity determined by the technology layout heat map and the competition intensity determined by the node density;

[0015] Real-time monitoring of the new patent data in the target technical field, adjusting the technology roadmap according to the new patent data to obtain an optimized technology roadmap, and determining the target R & D direction according to the optimized technology roadmap.

[0016] Further, the obtaining of the target patents in the target technical field includes:

[0017] Retrieving relevant patents in the target technical field through a patent database;

[0018] Removing duplicates and screening the relevant patents, and removing invalid patents irrelevant to the target technical field to obtain the target patents.

[0019] Further, the dividing of the target patents and determining the technology development periods based on the technology classification numbers and time series includes:

[0020] Dividing the target patents into different technology branches according to the technology classification numbers;

[0021] Sorting the patent data of each technology branch according to the time series to obtain a patent distribution map;

[0022] Determining the technology development periods of each technology branch according to the patent distribution map, including the technology germination period, the technology growth period and the technology maturity period.

[0023] Further, the constructing of the patent knowledge graph according to the citation relationship and claim overlap degree among the target patents includes:

[0024] Construct a patent citation network based on the citation relationships between target patents, where each node represents a patent and each edge represents a citation relationship;

[0025] Use natural language technology to compare the claims of target patents to determine the claim overlap degree;

[0026] Mark the claim overlap degree at each edge of the patent citation network to construct a patent knowledge graph.

[0027] Further, the determining the technology layout heat map based on the technology development period and the patent knowledge graph includes:

[0028] Determine technology blank branches and technology-intensive branches according to the technology branches and the patent knowledge graph;

[0029] Visualize the technology blank branches and technology-intensive branches to obtain a technology layout heat map.

[0030] Further, the determining the technology blank branches and technology-intensive branches includes:

[0031] Take the technology branches with less than the first preset threshold in the technology branches of different technology classification numbers as technology blank branches;

[0032] Take the technology branches corresponding to the technology classification numbers of the patents with claim overlap degree greater than the second preset threshold in the patent knowledge graph as technology-intensive branches.

[0033] Further, the evaluating the technology maturity and competition intensity of the intended technology R & D direction based on the intended technology R & D direction and the technology layout heat map includes:

[0034] Determine the intended technology branches of the intended technology R & D direction;

[0035] Determine the technology maturity based on the intended technology branches and the technology layout heat map;

[0036] Based on the patent knowledge graph, analyze the node density of the intended technology R & D direction in the patent citation network, and determine the competition intensity based on the node density.

[0037] Further, the generating the technology roadmap according to the technology maturity and competition intensity includes:

[0038] According to the technology maturity and the competition intensity, determine the technology development path of the intended technology R & D direction, including the technology R & D priority and the technology R & D time node;

[0039] Visualize the technology development path on the time axis to form a technology roadmap.

[0040] Further, the adjustment of the technology roadmap according to the newly added patent data to obtain an optimized technology roadmap includes:

[0041] Determine the updated technology layout heat map after the newly added patent data, and analyze whether the newly added patent data is in the intended technology R & D direction to obtain an analysis result;

[0042] If the analysis result is that the newly added patent data is in the intended R & D direction, delete this technology R & D direction in the technology roadmap to obtain an optimized technology roadmap.

[0043] Further, the determination of the target R & D direction according to the optimized technology roadmap includes:

[0044] Determine the target R & D direction with the highest priority and the time node meeting the preset R & D time in the optimized technology roadmap.

[0045] Compared with the prior art, the beneficial effects of the present invention are as follows: by analyzing patent data, drawing a technology layout heat map and a technology roadmap, the context and trend of technology development can be clearly presented, and the future technology development direction can be predicted. By identifying technology blank branches and technology-intensive branches, it can help R & D personnel avoid highly competitive fields, find technology directions with innovation potential, reduce waste of R & D resources. By analyzing the technical features and claims of existing patents, it can help R & D personnel avoid infringing existing patents, improve the novelty and creativity of patent applications, thereby increasing the success rate of patent applications. By real-time monitoring of newly added patent data and dynamically adjusting the technology roadmap, the latest technology development trends can be grasped in a timely manner, the R & D strategy can be adjusted to ensure that the R & D direction is consistent with market demands. Through systematic patent navigation, it can help enterprises better understand their own technical advantages and disadvantages, formulate reasonable R & D strategies, and enhance the overall innovation ability and competitiveness.

[0046] Further, through precise patent retrieval and screening, a solid foundation is laid for subsequent analysis, avoiding analysis deviation caused by data quality problems, and improving the accuracy and effectiveness of patent navigation. By filtering invalid patents, a high-quality data source is provided for subsequent analysis to ensure the accuracy of subsequent steps.

[0047] Further, by analyzing the changing trend of the number of patents in technical branches over time, the stage of technology development can be accurately identified, providing a basis for enterprises to grasp technology development trends and timely adjust R & D strategies. It can help enterprises identify emerging technology fields, seize market opportunities. By understanding the technology decline period, avoid investing too many resources in sunset industries. Through time series analysis, the future technology development trend can be predicted, providing support for enterprises to formulate long-term development plans.

[0048] Furthermore, by constructing a patent knowledge graph, scattered patent information is associated to form a complete technical knowledge system, which makes it possible for enterprises to deeply understand the internal relationships in the technical field and discover potential technological innovation opportunities. By analyzing the patent citation network, key patents and core technologies can be identified. By calculating technical similarity, trends of technological substitution and integration can be discovered. The patent knowledge graph provides a basis for applications such as technology forecasting, competitive analysis, and risk assessment, accelerating the retrieval and understanding of patent information and improving the efficiency of patent navigation.

[0049] Furthermore, through the technology layout heat map, the overall situation of the technical field can be intuitively displayed, providing convenience for enterprises to quickly understand the technology distribution, identify technology opportunities, and avoid technology risks. The heat map can assist enterprises in making strategic decisions and optimizing resource allocation. Through color coding, technology blank branches, technology-intensive branches, and technology decline branches can be clearly shown.

[0050] Furthermore, by identifying technology blank branches and technology-intensive branches, a basis is provided for enterprises to formulate reasonable R & D strategies. By identifying the technology evolution path, future technology development trends can be predicted, providing support for enterprises to formulate long-term development plans, helping enterprises optimize resource allocation, and improving R & D efficiency.

[0051] Furthermore, through technology maturity assessment, the risks and benefits of technology R & D can be judged. Through competition intensity assessment, the market competition pattern can be understood and competition strategies can be formulated, providing support for enterprises to select appropriate R & D directions and improve the success rate of R & D, and helping enterprises optimize the allocation of R & D resources.

[0052] Furthermore, by generating a technology roadmap, clear guidance can be provided for the R & D activities of enterprises. It helps enterprises plan the R & D path, improve R & D efficiency, provides a basis for enterprises to allocate resources, optimize R & D investment, and conduct precise patent R & D navigation.

[0053] Furthermore, by dynamically adjusting the technology roadmap, more precise patent navigation can be selected, helping enterprises better adapt to technological development and market changes, improve R & D efficiency, and reduce R & D risks. Enterprises can timely adjust R & D strategies according to newly added patent data, seize technology opportunities, avoid technology risks, and ensure that R & D activities are always in line with technological development and market demands.

[0054] Furthermore, by continuously optimizing the patent layout according to the technology roadmap, a patent portfolio with competitive advantages can be gradually formed. The precise target R & D direction can guide R & D personnel to conduct R & D design more pertinently, avoid duplicate research or deviation from market demands, contribute to improving R & D efficiency, and generate high-quality patent results more quickly. Description of the Drawings

[0055] Figure 1 This is a flowchart of the patent navigation method based on knowledge acquisition according to an embodiment of the present invention;

[0056] Figure 2 This is a flowchart of determining the technology development period according to an embodiment of the present invention;

[0057] Figure 3 This is a flowchart of constructing a patent knowledge graph according to an embodiment of the present invention;

[0058] Figure 4 This is a flowchart of identifying technology branches according to an embodiment of the present invention. Detailed implementation manners

[0059] In order to make the objectives and advantages of the present invention more clear, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0060] The preferred implementation manners of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these implementation manners are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0061] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0062] In addition, it should be noted that in the description of the present invention, unless otherwise clearly defined and limited, the terms "installed", "connected", "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0063] Please refer to Figure 1 as Figure 1 shown, which is a flowchart of the patent navigation method based on knowledge acquisition according to an embodiment of the present invention;

[0064] The patent navigation method based on knowledge acquisition provided by the embodiment of the present invention includes:

[0065] Obtain target patents in the target technical field;

[0066] Divide the target patent and determine the technology development period based on the technology classification number and time series;

[0067] Construct a patent knowledge graph according to the citation relationship and claim overlap degree among the target patents;

[0068] Determine the technology layout heat map based on the technology development period and the patent knowledge graph;

[0069] Evaluate the technology maturity and competition intensity of the intended technology R & D direction based on the intended technology R & D direction and the technology layout heat map;

[0070] Generate a technology roadmap according to the technology maturity determined by the technology layout heat map and the competition intensity determined by the node density;

[0071] Real-time monitor the new patent data in the target technology field, adjust the technology roadmap according to the new patent data to obtain an optimized technology roadmap, and determine the target R & D direction according to the optimized technology roadmap.

[0072] Specifically, in the embodiment of the present invention, the technology maturity is determined by the technology layout heat map, which makes the process of generating the technology roadmap clearer and more intuitive, improves the quantification of the technology maturity, and the competition intensity determined by the node density makes the process of determining the technology roadmap more accurate and rapid, improves the generation quality of the technology roadmap, improves the observation accuracy of the technology, and further makes the determination of the technology roadmap more accurate. Moreover, in the embodiment of the present invention, through two determinations and adjustments of the technology roadmap, and considering the technology maturity and competition intensity in the determination process and monitoring the patent data in the optimization process, the target R & D direction determined based on the technology optimization roadmap can conform to the historical data and target requirements, avoid the error of the R & D direction, and improve the scientificity and effectiveness of technology R & D.

[0073] Specifically, the claim overlap degree is the proportion determined by the sentence similarity of the claims according to natural language technology to divide the target patents according to the technology classification number, and determine the technology development period according to the time series, that is, according to the authorization time, and extract the core technology features with the most occurrences in each technology branch. Construct a patent knowledge graph according to the citation relationship and claim overlap degree among the target patents, identify the research situation of the technology to generate a technology layout heat map, evaluate the technology maturity and competition intensity to determine the technology roadmap, and adjust the technology roadmap according to the new patent data to determine the target R & D direction.

[0074] Specifically, by analyzing patent data and drawing a heat map of technology layout and a technology roadmap, the context and trend of technology development can be clearly presented, and the future direction of technology development can be predicted. By identifying technology blank branches and technology-intensive branches, it can help R & D personnel avoid highly competitive fields, find technology directions with innovation potential, reduce waste of R & D resources. By analyzing the technical features and claims of existing patents, it can help R & D personnel avoid infringing existing patents, improve the novelty and creativity of patent applications, thereby increasing the success rate of patent applications. By monitoring new patent data in real time and dynamically adjusting the technology roadmap, it can promptly grasp the latest technology development trends, adjust R & D strategies, and ensure that the R & D direction is consistent with market demands. Through systematic patent navigation, it can help enterprises better understand their own technical advantages and disadvantages, formulate reasonable R & D strategies, and enhance the overall innovation ability and competitiveness.

[0075] Specifically, the obtaining of target patents in the target technology field includes:

[0076] Retrieving relevant patents in the target technology field through a patent database;

[0077] Removing duplicates and screening the relevant patents, and removing invalid patents irrelevant to the target technology field to obtain the target patents.

[0078] Specifically, the relevant patents are those patents in which the words in the patent exist in the words of the target technology field. In a specific implementation, if the target technology field is the new energy vehicle field, the words of the target technology field are words related to new energy vehicles. Those patents with the same words as the words related to new energy in the patent database are relevant patents. Removing invalid patents means screening out patents that have expired, been revoked, etc. and do not have patent rights, and removing the invalid patents in the target field to obtain the remaining patents as the target patents.

[0079] Specifically, through precise patent retrieval and screening, a solid foundation is laid for subsequent analysis, avoiding analysis deviations caused by data quality problems, and improving the accuracy and effectiveness of patent navigation. By filtering invalid patents, a high-quality data source is provided for subsequent analysis, ensuring the accuracy of subsequent steps.

[0080] Please continue to refer to Figure 2 , such as Figure 2 shown, which is a flowchart for determining the technology development period in an embodiment of the present invention;

[0081] Specifically, the dividing of the target patents and determining the technology development period based on the technology classification number and time series includes:

[0082] Dividing the target patents into different technology branches according to the technology classification number;

[0083] Sort the patent data of each technical branch in time series to obtain a patent distribution map;

[0084] Determine the technological development periods of each technical branch based on the patent distribution map, including the technological germination period, the technological growth period, and the technological maturity period.

[0085] Specifically, the technical classification number is IPC or CPC, and the patents are divided according to the technical field. The time series analysis is the time of patent authorization. The technological germination period is manifested by the appearance of a small number of patents. In specific implementation, the technological germination period is the period when the newly added patents are greater than the preset standard number of patents. The technological growth period is manifested by the rapid growth of the number of patents, and the technological maturity period is manifested by the steady growth of the number of patents. The technological decline period is manifested by the decrease in the number of patents.

[0086] Specifically, by analyzing the changing trend of the number of patents in a technical branch over time, it accurately identifies the stage of technological development, providing a basis for enterprises to grasp the technological development trend and timely adjust their R & D strategies. It can help enterprises identify emerging technology fields, seize market opportunities, avoid investing too many resources in sunset industries by understanding the technological decline period, and predict the future technological development trend through time series analysis, providing support for enterprises to formulate long-term development plans.

[0087] Please continue to refer to Figure 3 , as Figure 3 shown, which is the flowchart for constructing a patent knowledge graph according to an embodiment of the present invention;

[0088] Specifically, constructing a patent knowledge graph according to the citation relationship and claim overlap degree between target patents includes:

[0089] Construct a patent citation network based on the citation relationship between target patents, where each node represents a patent and each edge represents a citation relationship;

[0090] Use natural language technology to compare the claims of target patents to determine the claim overlap degree;

[0091] Mark the claim overlap degree at each edge of the patent citation network to construct a patent knowledge graph.

[0092] Specifically, to determine the overlap degree of claims, natural language processing technologies such as word vector models and semantic similarity calculations are needed to analyze the text information in the claim book. Technical effects are professional terms, and a term extraction algorithm is used through a professional term library to extract technical effects. For each target patent, the citation relationships are connected, and the patents with citation relationships are linked together, and the claim overlap degree is marked on the connection line to obtain a patent knowledge graph that shows the citation relationships and claim overlap degrees among the target patents.

[0093] Specifically, by constructing a patent knowledge graph, the scattered patent information is associated to form a complete technical knowledge system, which provides the possibility for enterprises to deeply understand the internal connections in the technical field and discover potential technological innovation opportunities. By analyzing the patent citation network, key patents and core technologies can be identified. By calculating technical similarity, the trends of technology substitution and technology integration can be discovered. The patent knowledge graph provides a basis for applications such as technology prediction, competitive analysis, and risk assessment, accelerates the retrieval and understanding of patent information, and improves the efficiency of patent navigation.

[0094] Specifically, the determination of the technology layout heat map based on the technology development period and the patent knowledge graph includes:

[0095] Determine the technology blank branches and technology-intensive branches according to the technology branches and the patent knowledge graph;

[0096] Visualize the technology blank branches and technology-intensive branches, where the technology blank branches are represented by cold colors and the technology-intensive branches are represented by warm colors to obtain the technology layout heat map.

[0097] Specifically, through the technology layout heat map, the overall situation of the technical field can be intuitively displayed, which provides convenience for enterprises to quickly understand the technology distribution, identify technology opportunities, and avoid technology risks. The heat map can help enterprises make strategic decisions and optimize resource allocation. Through color coding, the technology blank branches, technology-intensive branches, and technology decline branches can be clearly displayed.

[0098] Please continue to refer to Figure 4 , as Figure 4 shown, which is the flowchart for identifying technology branches in the embodiment of the present invention;

[0099] Specifically, the determination of the technology blank branches and technology-intensive branches includes:

[0100] Take the technology branches with a value less than the first preset threshold among the technology branches with different technology classification numbers as the technology blank branches;

[0101] Take the technical branch corresponding to the technical classification number of the patent with a claim overlap degree greater than the second preset threshold in the patent knowledge graph as the technology-intensive branch.

[0102] Specifically, the first preset threshold is the minimum number of patents in the technical branch of a technical classification number, the second preset threshold is the maximum proportion of the claim overlap degree of the claims, and the technology blank branch is the technical direction that has not been fully explored. In a specific implementation, the first preset threshold is 50, and the second preset threshold is 40%. If the number of patents in the technical branch of a classification number is 39, which is less than the first preset threshold, then the technical branch of this classification number is a technology blank branch. If the claim overlap degree of the patents in the technical branch of a classification number in the patent picture is 45%, which is greater than the second preset threshold, then the technical branch of this classification number is a technology-intensive branch, or it is an area with market demand but lacking technical solutions. The technology-intensive branch refers to the branch with a large number of patents and active technological innovation.

[0103] Specifically, by identifying the technology blank branch and the technology-intensive branch, it provides a basis for enterprises to formulate reasonable R & D strategies. By identifying the technology evolution path, it can predict the future technology development trend, provide support for enterprises to formulate long-term development plans, help enterprises optimize resource allocation, and improve R & D efficiency.

[0104] Specifically, the evaluation of the technical maturity and competition intensity of the intended technology R & D direction based on the intended technology R & D direction and the technology layout heat map includes:

[0105] Determine the intended technology branch of the intended technology R & D direction;

[0106] Based on the intended technology branch and the technology layout heat map, determine the technical maturity;

[0107] Based on the patent knowledge graph, analyze the node density of the intended technology R & D direction in the patent citation network, and determine the competition intensity based on the node density.

[0108] Specifically, the greater the node density of the intended technology R & D direction in the patent citation network, the greater the competition intensity. Through the evaluation of technical maturity, the risks and benefits of technology R & D can be judged. Through the evaluation of competition intensity, the market competition pattern can be understood, competition strategies can be formulated, which provides support for enterprises to select appropriate R & D directions and improve the R & D success rate, and helps enterprises optimize R & D resource allocation.

[0109] Specifically, the generation of the technology roadmap according to the technical maturity and competition intensity includes:

[0110] Determine the technical development path of the intended technology R & D direction according to the technical maturity and the competition intensity, including the technical R & D priority and the technical R & D time node;

[0111] Visualize the technical development path on the time axis to form a technology roadmap.

[0112] Specifically, determine the technical R & D direction with low to high technical maturity and low to high competition intensity, and the priority is from high to low. By generating a technology roadmap, it can provide clear guidance for the enterprise's R & D activities. Help the enterprise plan the R & D path, improve the R & D efficiency, provide a basis for the enterprise to allocate resources, optimize the R & D investment, and conduct accurate patent R & D navigation.

[0113] Specifically, the adjustment of the technology roadmap according to the newly added patent data to obtain an optimized technology roadmap includes:

[0114] Determine the updated technology layout heat map after the newly added patent data, and analyze whether the newly added patent data is in the intended technology R & D direction to obtain an analysis result;

[0115] If the analysis result is that the newly added patent data is in the intended R & D direction, delete this technical R & D direction in the technology roadmap to obtain an optimized technology roadmap.

[0116] Specifically, after the newly added patent data, the technology layout heat map is updated in real time according to the newly added patent data. If there is patent data in a certain R & D direction in the enterprise's intended R & D direction in the updated newly added patent data, then this R & D direction may have been developed, and this R & D direction in the technology roadmap will be deleted to obtain an optimized technology roadmap. By dynamically adjusting the technology roadmap, more accurate patent navigation can be selected, helping the enterprise better adapt to technological development and market changes, improve R & D efficiency, and reduce R & D risks. The enterprise can timely adjust the R & D strategy according to the newly added patent data, seize technological opportunities, avoid technological risks, and ensure that the R & D activities are always consistent with technological development and market demands.

[0117] Specifically, the determination of the target R & D direction according to the optimized technology roadmap includes:

[0118] Determine the target R & D direction with the highest priority and the time node meeting the preset R & D time in the optimized technology roadmap.

[0119] Specifically, the preset research and development time is the time for patent project research and development selected by enterprise researchers. By continuously carrying out patent layout in accordance with the optimized technology roadmap, a patent portfolio with competitive advantages can be gradually formed. The accurate target research and development direction can guide researchers to conduct research and development design more pertinently, avoid duplicate research or deviation from market demands, help improve the research and development efficiency, and produce high-quality patent results faster.

[0120] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

[0121] The above are only the preferred embodiments of the present invention and are not used to limit the present invention; for those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A patent navigation method based on knowledge acquisition, characterized in that including: obtaining target patents in the target technical field; dividing the target patents and determining the technology development period based on the technology classification number and time series; constructing a patent knowledge graph according to the citation relationship and claim overlap degree among the target patents; determining a technology layout heat map based on the technology development period and the patent knowledge graph; evaluating the technology maturity and competition intensity of the intended technology R & D direction based on the intended technology R & D direction and the technology layout heat map; generating a technology roadmap according to the technology maturity determined by the technology layout heat map and the competition intensity determined by the node density; real-time monitoring of the newly added patent data in the target technical field, adjusting the technology roadmap according to the newly added patent data to obtain an optimized technology roadmap, and determining the target R & D direction according to the optimized technology roadmap.

2. The method for patent navigation based on knowledge acquisition according to claim 1, wherein The obtaining of the target patents in the target technical field includes: retrieving relevant patents in the target technical field through a patent database; deduplicating and screening the relevant patents, removing invalid patents irrelevant to the target technical field to obtain the target patents.

3. The patent navigation method based on knowledge acquisition according to claim 2, characterized in that, The dividing of the target patents and determining the technology development period based on the technology classification number and time series includes: dividing the target patents into different technology branches according to the technology classification number; sorting the patent data of each technology branch according to the time series to obtain a patent distribution map; determining the technology development period of each technology branch according to the patent distribution map, and the technology development period includes the technology germination period, the technology growth period and the technology maturity period.

4. The patent navigation method based on knowledge acquisition according to claim 3, characterized in that The constructing of the patent knowledge graph according to the citation relationship and claim overlap degree among the target patents includes: constructing a patent citation network according to the citation relationship among the target patents, where each node represents a patent and each edge represents a citation relationship; using natural language technology to compare the claims of the target patents to determine the claim overlap degree; marking the claim overlap degree at each edge of the patent citation network to construct a patent knowledge graph.

5. The method for patent navigation based on knowledge acquisition according to claim 4, wherein The determining of the technology layout heat map based on the technology development period and the patent knowledge graph includes: determining technology blank branches and technology intensive branches according to the technology branches and the patent knowledge graph; visually displaying the technology blank branches and technology intensive branches to obtain a technology layout heat map.

6. The patent navigation method based on knowledge acquisition according to claim 5, characterized in that The determining of the technology blank branches and technology intensive branches includes: taking the technology branches with less than the first preset threshold in the technology branches of different technology classification numbers as technology blank branches; taking the technology branches corresponding to the technology classification numbers of the patents with the claim overlap degree greater than the second preset threshold in the patent knowledge graph as technology intensive branches.

7. The method for patent navigation based on knowledge acquisition according to claim 6, wherein The evaluating of the technology maturity and competition intensity of the intended technology R & D direction based on the intended technology R & D direction and the technology layout heat map includes: determining the intended technology branches of the intended technology R & D direction; determining the technology maturity based on the intended technology branches and the technology layout heat map; analyzing the node density of the intended technology R & D direction in the patent citation network based on the patent knowledge graph, and determining the competition intensity based on the node density.

8. The method for patent navigation based on knowledge acquisition according to claim 7, wherein The generation of the technology roadmap based on the technology maturity and the competition intensity includes: Determining the technology development path of the intended technology R & D direction according to the technology maturity and the competition intensity, including the technology R & D priority and the technology R & D time node; Visualizing the technology development path on the time axis to form a technology roadmap.

9. The method for patent navigation based on knowledge acquisition according to claim 8, wherein The adjustment of the technology roadmap according to the new patent data to obtain an optimized technology roadmap includes: Determining the updated technology layout heat map after the new patent data, and analyzing whether the new patent data is in the intended technology R & D direction to obtain an analysis result; If the analysis result is that the new patent data is in the intended R & D direction, deleting the technology R & D direction in the technology roadmap to obtain an optimized technology roadmap.

10. The patent navigation method based on knowledge acquisition according to claim 9, wherein, The determination of the target R & D direction according to the optimized technology roadmap includes: Determining the target R & D direction with the highest priority and the time node meeting the preset R & D time in the optimized technology roadmap.

Images