Industrial internet identifier resolution data display method and system, and related device
By generating a preliminary match between the equipment industry type and the query information, the problem of low data query efficiency in the identifier resolution system is solved, and efficient and accurate data filtering and display are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YANTAI DONGFANG RUICHUANGDA ELECTRONIC TECH CO LTD
- Filing Date
- 2023-04-24
- Publication Date
- 2026-04-14
AI Technical Summary
In an integrated identifier resolution system, the large amount of data generated during resolution and the time wasted in the query process lead to low efficiency.
By obtaining the device's identifier resolution information, the device's industry type and query information are generated. The industry type is then used for preliminary matching and filtering, reducing unnecessary search processes.
It improves the efficiency of data retrieval, reduces wasted time, and enhances the accuracy and precision of data filtering.
Smart Images

Figure CN116595042B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the technical field of data display, and in particular to a display method, system and related equipment for industrial internet identifier resolution. Background Technology
[0002] The identifier resolution system is the key nervous system of the Industrial Internet and a critical infrastructure for network interconnection. In recent years, the application of the identifier resolution system in various industries has deepened, and the demand for the construction of identifier resolution nodes at all levels has continued to grow, driving the continuous development of the identifier resolution ecosystem.
[0003] However, in the current construction of the integrated identifier resolution system, the large amount of data generated by resolution is usually stored according to the resolution time. Since the environment faced during the resolution process is also complex and changeable, the data generated by resolution is also very large and messy. This leads to a lot of time wasted in retrieving the required data from the large amount of data. Summary of the Invention
[0004] In order to obtain the required data more quickly from a large amount of parsed data and reduce the time wasted in the search process, this application provides a method, system and related equipment for displaying industrial Internet identifier resolution data.
[0005] Firstly, this application provides a method for displaying industrial internet identifier resolution data, employing the following technical solution:
[0006] A method for displaying industrial internet identifier resolution data includes:
[0007] Obtain the device's identifier resolution information, which includes the industry type resolution and device resolution information;
[0008] Based on the identifier resolution information, generate the equipment industry type and the equipment query information corresponding to the equipment industry type;
[0009] Obtain the current query information of the device to be queried, including the current industry type and current query tag of the device to be queried;
[0010] Based on the current industry type, obtain the corresponding equipment industry type as the filtering type;
[0011] Obtain the device query information corresponding to the filter type, wherein the device query information includes device query tags and device display information corresponding to the device query tags;
[0012] Based on the current query tag and the device query tag, obtain the corresponding device display information as the current display information.
[0013] By adopting the above technical solution, equipment industry types and equipment query information are generated based on identifier resolution information. This allows for categorization based on equipment industry type. Then, the current query information is matched with the equipment industry type to obtain the corresponding industry type as a filter type. This eliminates the need to search and match all equipment query information across all industry types. After obtaining the filter type, the corresponding equipment query information is retrieved, and the current query tag is matched with the equipment query tags in the equipment query information to obtain the corresponding equipment display information, which is then displayed. Because categorization and initial matching are performed based on industry type, and subsequent display information is only obtained after a successful match, there is no need to filter through all display information. Therefore, time wasted in the search process is effectively reduced, and search efficiency is improved.
[0014] Preferably, after obtaining the corresponding device display information based on the current query tag and the device query tag as the current display information, the method further includes:
[0015] Obtain the current device location of the device to be queried;
[0016] Based on the current device location, obtain the enterprise information of the enterprise to be queried where the current device is located;
[0017] Based on the enterprise information, the business industry type of the enterprise to be queried is obtained;
[0018] Determine whether there exists an equipment industry type that does not match the stated business industry type;
[0019] If it exists, then obtain the equipment industry type that does not match the business industry type and use it as the filter industry type;
[0020] Obtain the first delete instruction to delete the filtered industry type.
[0021] By adopting the above technical solution, it is possible to determine whether there are equipment industry types that do not match the business industry type, thereby identifying the industry field of the company to be queried and deciding whether to delete the industry type to be filtered. This can remove redundant data and reduce the difficulty of data filtering.
[0022] Preferably, before obtaining the first deletion instruction to delete the filtered industry type, the method further includes:
[0023] The frequency of obtaining the filtered industry type is used as the first frequency;
[0024] Determine whether the first frequency exceeds the preset frequency;
[0025] If the limit is not exceeded, continue with the step of obtaining the first deletion instruction to delete the filtered industry type;
[0026] If the number exceeds the limit, then determine whether all the selected industry types are the same.
[0027] If not, then obtain the same filtered industry type as the same industry type;
[0028] The acquisition frequency of the same industry type is obtained as the second frequency;
[0029] Determine whether the second frequency exceeds the preset frequency;
[0030] If the limit is not exceeded, continue with the step of obtaining the first deletion instruction to delete the filtered industry type;
[0031] If the number exceeds the limit, different industry types are obtained based on the filtered industry types and the same industry types;
[0032] Obtain a second deletion instruction to delete the different industry types.
[0033] By adopting the above technical solution, it is possible to determine whether the first frequency exceeds the preset frequency, and thus determine whether the industry type being filtered appears frequently. If it does, it is determined whether all the industry types being filtered are the same, thereby determining whether there are other cooperating companies. If not, the same industry type is obtained and the second frequency is obtained. Then, it is determined whether the second frequency exceeds the preset frequency. If it does, different industry types are deleted and the same industry types are retained. This can retain as much of the necessary data as possible, thereby improving the accuracy of data judgment.
[0034] Preferably, if the second frequency exceeds the preset frequency, the method further includes:
[0035] Based on the enterprise information, obtain the upstream and downstream enterprise information of the enterprise to be queried;
[0036] Based on the upstream and downstream enterprise information, the types of upstream and downstream industries are obtained;
[0037] Determine whether there exists a matching industry type that corresponds to the upstream and downstream industry types;
[0038] If it exists, then obtain the same industry type that does not match the upstream and downstream industry types and use it as the industry type to be cleared.
[0039] Obtain a third deletion instruction to delete the industry type to be cleared.
[0040] By adopting the above technical solution, it is possible to determine whether there are identical industry types that match the upstream and downstream industry types, and whether the industry type needs to be deleted or cleared, thereby further improving the accuracy of data retention and deletion.
[0041] Preferably, before obtaining the first deletion instruction to delete the filtered industry type, the method further includes:
[0042] Obtain the historical sales information of the device to be queried corresponding to the filtered industry type;
[0043] Based on the historical sales information, obtain the sales trend of the device to be queried;
[0044] Determine whether the sales trend is upward.
[0045] If not, then execute the step of obtaining the first deletion instruction to delete the filtered industry type;
[0046] If so, then obtain the industry chain type of the business industry type;
[0047] Determine whether the industry chain type is included in the selected industry types;
[0048] If included, then the filtered industry types that do not include the industry type of the industrial chain are obtained as the industry types to be removed;
[0049] Obtain the fourth deletion instruction to delete the erased industry type;
[0050] If not included, then execute the step of obtaining the first deletion instruction to delete the filtered industry type.
[0051] By adopting the above technical solution, it is determined whether the sales trend is upward, thereby determining whether the analyzed equipment is a popular equipment. If so, it is then determined whether the industry chain type is included in the industry type screening, thereby determining whether the industry type to be removed needs to be deleted, which can further improve the accuracy of data adjustment.
[0052] Preferably, if the industry type being screened includes the industry type of the industrial chain, it also includes:
[0053] Obtain the filtered industry types, including the industry types of the aforementioned industrial chain, as the retained industry types;
[0054] Obtain the equipment correlation degree between the retained industry type and the operating industry type;
[0055] Determine whether the device correlation degree exceeds a preset correlation degree;
[0056] If the limit is not exceeded, then obtain the fifth deletion instruction to delete the reserved industry type.
[0057] By adopting the above technical solution, it is possible to determine whether the correlation between devices exceeds the preset correlation, thereby determining whether the enterprise to be queried has the potential for expansion, and further determining whether the industry type needs to be deleted or retained, which can further improve the accuracy of data retention or deletion.
[0058] Preferably, after obtaining the current query information of the device to be queried, the method further includes:
[0059] Obtain the version information of the device to be queried;
[0060] Based on the version information, determine whether the version of the device to be queried has been updated;
[0061] If so, then obtain device update information based on the version information;
[0062] Determine whether the currently queried information contains the device update information;
[0063] If it exists, obtain the detection data information corresponding to the device update information;
[0064] The detection data information is added to the corresponding device query information.
[0065] By adopting the above technical solution, it is possible to determine whether the version of the device to be queried has been updated, and whether the device query information needs to be updated. If it has been updated, it is further determined whether there is device update information in the current query information, so as to further determine whether the detection data information needs to be added to the device query information, thereby improving the accuracy of information adjustment.
[0066] Secondly, this application provides a system for displaying industrial internet identifier resolution data, which adopts the following technical solution:
[0067] A system for displaying industrial internet identifier resolution data includes:
[0068] The first information acquisition module is used to acquire the device's identifier resolution information, which includes the industry type resolution information and the device resolution information.
[0069] The second information acquisition module is used to generate the equipment industry type and the equipment query information corresponding to the equipment industry type based on the identifier resolution information;
[0070] The third information acquisition module is used to acquire the current query information of the device to be queried, including the current industry type and current query tag of the device to be queried.
[0071] The type acquisition module is used to acquire the corresponding equipment industry type based on the current industry type, and use it as the filtering type;
[0072] The fourth information acquisition module is used to acquire the device query information corresponding to the filtering type. The device query information includes device query tags and device display information corresponding to the device query tags.
[0073] The fifth information acquisition module is used to acquire the corresponding device display information based on the current query tag and the device query tag, and use it as the current display information.
[0074] By adopting the above technical solution, based on the data transmission between various modules, equipment industry types and equipment query information are generated according to the identifier resolution information. This allows for categorization based on equipment industry type. Then, the current query information is matched with the equipment industry type to obtain the corresponding industry type as a filter type. This eliminates the need to search and match all equipment query information across all industry types. After obtaining the filter type, the corresponding equipment query information is retrieved, and the current query tag is matched with the equipment query tags in the equipment query information to obtain the corresponding equipment display information, which is then displayed. Because categorization and initial matching are performed based on industry type, and subsequent display information is only obtained after a successful match, there is no need to filter through all display information. Therefore, time wasted in the search process can be effectively reduced, and search efficiency can be improved.
[0075] Thirdly, this application provides a smart terminal, which adopts the following technical solution:
[0076] A smart terminal, comprising:
[0077] Memory is used to store computer programs that can run on a processor;
[0078] The processor, when running the computer program, is capable of performing the steps of any of the methods described above.
[0079] By adopting the above technical solution, the memory can store information, the processor can retrieve the information and issue control instructions, ensuring the orderly execution of the program and achieving the effect of the above solution.
[0080] Fourthly, this application provides a computer-readable storage medium, which adopts the following technical solution:
[0081] A computer-readable storage medium storing a computer program that can be loaded by a processor and executed by any of the methods described above.
[0082] By adopting the above technical solution, when the computer-readable storage medium is loaded into any computer, any computer can execute the method for displaying industrial internet identifier resolution data provided in this application.
[0083] In summary, this application includes at least one of the following beneficial technical effects:
[0084] 1. The system categorizes and initially matches equipment based on industry type. Once a match is successful, it retrieves the currently displayed information. This process eliminates the need to filter through all displayed information, effectively reducing wasted time during the search process and improving search efficiency.
[0085] 2. Determining whether there are equipment industry types that do not match the business industry type can identify the industry field of the company being queried, thereby determining whether to delete the industry type to be filtered. This can remove redundant data and reduce the difficulty of data filtering.
[0086] 3. Determine whether the device correlation exceeds the preset correlation to determine whether the enterprise to be queried has the potential for expansion, and then determine whether the industry type needs to be deleted or retained, which can further improve the accuracy of data retention or deletion. Attached Figure Description
[0087] Figure 1 This is a flowchart illustrating a method for displaying industrial internet identifier resolution data provided in an embodiment of this application;
[0088] Figure 2 This is a flowchart illustrating steps S11 to S16 in one embodiment of this application;
[0089] Figure 3 This is a flowchart illustrating steps S21 to S30 in one embodiment of this application;
[0090] Figure 4 This is a flowchart illustrating steps S31 to S35 in one embodiment of this application;
[0091] Figure 5 This is a flowchart illustrating steps S41 to S49 in one embodiment of this application;
[0092] Figure 6 This is a flowchart illustrating steps S51 to S54 in one embodiment of this application;
[0093] Figure 7 This is a flowchart illustrating steps S61 to S66 in one embodiment of this application;
[0094] Figure 8 This is a structural block diagram of an industrial internet identifier resolution data display system provided in an embodiment of this application.
[0095] Explanation of reference numerals in the attached figures:
[0096] 1. First information acquisition module; 2. Second information acquisition module; 3. Third information acquisition module; 4. Type acquisition module; 5. Fourth information acquisition module; 6. Fifth information acquisition module. Detailed Implementation
[0097] The following is in conjunction with the appendix Figures 1 to 8 This application will be described in further detail.
[0098] This application discloses a method for displaying industrial internet identifier resolution data.
[0099] Reference Figure 1 The methods for displaying industrial internet identifier resolution data include:
[0100] S1. Obtain the device's identifier resolution information;
[0101] The acquisition method can be through device analysis, followed by transmission to the system. The analysis information includes the industry type and device analysis information. The industry type refers to the industry to which the analyzed device belongs. For example, some automotive electronic components belong to the automotive industry, while some textile equipment electronic components belong to the textile industry. The device analysis information includes data from the device analysis, such as production time, manufacturer, device name, logo, device identification code, and testing quality.
[0102] S2. Generate the equipment industry type and corresponding equipment query information based on the identifier resolution information;
[0103] In other words, the industry type in the identifier resolution information is used as the equipment industry type, and the equipment resolution information is used as the corresponding equipment query information for the equipment industry type. If the same equipment industry type has already been generated in the system, the equipment query information in the same equipment industry type obtained again will be added to the same equipment industry type, without the need to generate a new equipment industry type.
[0104] For example, if the obtained parsed industry type A is equipment industry type A, the corresponding equipment parsing information A is the equipment query information A. If the obtained parsed industry type B is also equipment industry type A, the corresponding equipment parsing information B is the equipment query information B. In this case, the equipment query information corresponding to equipment industry type A includes equipment query information A and equipment query information B.
[0105] S3. Obtain the current query information for the device to be queried;
[0106] It can be transmitted to the system via terminal devices, such as mobile phones or computers. The current query information includes the current industry type and current query tags of the device to be queried.
[0107] S4. Obtain the corresponding equipment industry type based on the current industry type, and use it as the filtering type;
[0108] This means matching the current industry type with the equipment industry type. The matching method can be text recognition. If the equipment industry type matches the same text and the matching rate of the matched text reaches the preset matching rate, then the matching is successful. Therefore, the successfully matched equipment industry type is used as the filtering type.
[0109] S5. Obtain device query information corresponding to the filter type;
[0110] This means obtaining the device query information corresponding to the filter type in the identifier resolution information. The device query information includes the device query tag and the device display information corresponding to the device query tag.
[0111] S6. Obtain the corresponding device display information based on the current query tag and device query tag, and use it as the current display information;
[0112] Since the same filter type may contain multiple device query information, in order to obtain more accurate information, the current query tag is matched with all device query tags in the device query information. If the match is successful, the corresponding device query information can be obtained, and then the device display information corresponding to the successfully matched device query tag can be obtained, which is the current display information.
[0113] The matching method between the current query tag and the device query tag is the same as the matching method between the current industry type and the device industry type. Of course, it is also possible for the current query tag and the device query tag to be completely identical, which means a successful match. The specific matching method can be set according to actual needs.
[0114] Therefore, by using the above method, the equipment can be classified and initially matched according to its industry type. After a successful match, the information currently displayed can be obtained. In this process, there is no need to filter through all the displayed information, so it can effectively reduce the time wasted in the search process and improve the efficiency of the search.
[0115] Reference Figure 2 To better reduce the redundancy of system stored data, in another embodiment, after obtaining the corresponding device display information based on the current query tag and device query tag as the current display information, the method further includes:
[0116] S11. Obtain the current device location of the device to be queried;
[0117] The location can be obtained through the device's own positioning system, or by installing a positioning device, such as a position sensor or other device with positioning function, on the device to be queried, and sending the located position to the display system.
[0118] S12. Obtain the enterprise information of the enterprise to be queried where the current device is located based on the current device location;
[0119] By displaying the system's internal GPS navigation system or other positioning system, it can determine whether the current device location is within the company's location range. If so, it can determine the current device location and obtain the company information of the company where the current device is located, which is the company information of the company to be queried.
[0120] The method of obtaining enterprise information can be to obtain the scope of the enterprise to be queried by the current device location and obtain the name of the enterprise to be queried. Then, the enterprise information of the enterprise to be queried can be obtained through network query. The enterprise information includes the business scope and industry of the enterprise.
[0121] S13. Obtain the industry type of the enterprise to be queried based on enterprise information;
[0122] After obtaining the company information, you can determine the industry to which the company belongs, i.e., the business industry type. For example, this can be obtained through keyword recognition. If the industry is automobile, then the business industry type is automobile industry. Similarly, if the keyword is smelting, then the business industry type is smelting industry. If the keyword is textile, clothing, knitting, etc., then the business industry type is the opposite. The specific settings can be configured according to actual needs.
[0123] S14. Determine if there is an equipment industry type that does not match the business industry type;
[0124] There may be one or more industry types for business operations. Similarly, the industry type for equipment may be obtained after parsing multiple types of equipment to be queried. Therefore, there may be multiple industry types for equipment. In this case, the industry type for equipment is matched with the industry type for business operations. The matching method is the same as the matching method for the industry type for equipment and the current industry type. This determines whether there is an industry type for equipment that does not match the industry type for business operations, and thus determines whether the equipment to be queried is the equipment needed by the company to be queried.
[0125] S15. If it exists, obtain the equipment industry type that does not match the business industry type and use it as the filter industry type;
[0126] If no such equipment exists, the parsed data for the equipment being queried matches the company being queried, and the obtained information is also relevant to the company; therefore, no further action is required. However, if there is an equipment industry type that does not match the business industry type, then the parsed data contains equipment unrelated to the company being queried. Therefore, the equipment industry type that does not match the business industry type is retrieved as the filtering industry type.
[0127] S16. Obtain the first delete instruction to delete the filtered industry type;
[0128] After obtaining the industry type to be filtered, in order to further improve the efficiency of data filtering, the first deletion instruction is obtained. The first deletion instruction includes the industry type to be filtered, so that the industry type stored in the system can be deleted. This further reduces the time consumed by reading the industry type during the data filtering process, thereby improving the filtering efficiency.
[0129] Furthermore, in one possible implementation of this embodiment, the first deletion instruction also includes a retention period. The retention period can be set according to actual needs, and can also be set according to the cooperation period between the enterprise whose equipment corresponds to the industry type and the enterprise to be queried.
[0130] The retention period refers to the retention time for the filtered industry type. The timer starts when the filtered industry type is obtained. When the elapsed time equals the retention period, the filtered industry type is deleted. This allows the filtered industry type to be retained for a certain period of time, making it convenient to reuse it in a short time.
[0131] Reference Figure 3 To ensure the accuracy of the filtered industry types for deletion as much as possible, in another embodiment, before obtaining the first deletion instruction to delete the filtered industry type, the method further includes:
[0132] S21. Obtain the frequency of the filtered industry type as the first frequency;
[0133] In other words, the number of times the system records the number of times the industry type is selected within a preset time period is the selection frequency, and the selection frequency is used as the first frequency.
[0134] S22. Determine whether the first frequency exceeds the preset frequency;
[0135] In other words, it determines whether the first frequency is greater than the preset frequency. If it is, it proves that the number of times the industry type to be filtered is high within the preset time period, which means that the industry type to be filtered is frequently used or collected. Conversely, if the number of times it is obtained is insufficient, it proves that the industry type to be filtered is used less often.
[0136] S23. If the limit is not exceeded, continue to execute the step of obtaining the first deletion instruction to delete the filtered industry type;
[0137] If the first frequency does not exceed the preset frequency, it indicates that the probability of the filtered industry type being used or collected is low, which means that the filtered industry type can be deleted. Therefore, the step of obtaining the first deletion instruction to delete the filtered industry type continues.
[0138] S24. If the number of industries exceeds the limit, determine whether all filtered industry types are the same.
[0139] If the first frequency exceeds the preset frequency, it indicates that the number of times the industry type to be filtered is relatively high. At this point, all industry types to be filtered are matched to determine whether all industry types are the same, and thus whether the distribution of industry types to be filtered is relatively concentrated.
[0140] S25. If not, then obtain the same filtered industry type and treat it as the same industry type;
[0141] If all filtered industry types are the same, then neither the first delete instruction nor the filtered industry instruction will be deleted. If the filtered industry types are not completely identical, then the same filtered industry types will be selected as the same industry type.
[0142] S26. Obtain the acquisition frequency of the same industry type as the second frequency;
[0143] Once the same industry type is obtained, the frequency of obtaining the same industry type is obtained as the second frequency, which is the number of times the same industry type appears within a preset time period.
[0144] S27. Determine whether the second frequency exceeds the preset frequency;
[0145] The method is the same as determining whether the first frequency exceeds the preset frequency, and the effect is also the same: to determine whether the conditions for retaining or deleting the industry type are met.
[0146] S28. If not exceeded, continue to execute the step of obtaining the first deletion instruction to delete the filtered industry type;
[0147] If the second frequency does not exceed the preset frequency, it proves that even if the same industry type exists, the frequency of occurrence is insufficient. In other words, the various industry types in the filtered industry types are relatively scattered and not concentrated. Therefore, it is not necessary to retain them at this time, and the step of obtaining the first deletion instruction to delete the filtered industry type is continued, thereby realizing the cleanup of the filtered industry types.
[0148] S29. If the number of industries exceeds the limit, different industry types will be obtained based on the filtered industry types and the same industry types.
[0149] If the second frequency exceeds the preset frequency, it proves that the same industry type appears frequently and is relatively concentrated. Therefore, the same industry type does not need to be deleted, only the different industry types need to be deleted. So at this time, the same industry type is excluded from the filtered industry types, and the remaining filtered industry types are the different industry types.
[0150] S30. Obtain the second deletion instruction to delete different industry types;
[0151] Finally, the second deletion instruction is obtained to delete different industry types in the same way as deleting filtered industry types according to the first deletion instruction. Thus, the filtered industry types can be further filtered in the above way, keeping the same industry types and deleting different industry types.
[0152] Of course, in other possible implementations of this embodiment, the second deletion instruction may also include a retention period. The retention period can still be set according to the actual situation. Of course, the retention period can also be set according to the cooperation period or the acquisition frequency of different industry types.
[0153] Reference Figure 4 To ensure that the retained industry types are as relevant as possible to the industry of the company being queried, in another embodiment, if the second frequency exceeds a preset frequency, the following further step is taken:
[0154] S31. Obtain upstream and downstream enterprise information of the enterprise to be queried based on enterprise information;
[0155] You can obtain the company name and industry type of the company you are looking for through the company information. Then, you can obtain the upstream and downstream company information related to the company you are looking for based on the company name. The upstream and downstream company information includes the upstream company name and the downstream company name.
[0156] For example, if the industry type of the company being queried is automotive, then any company that manufactures automotive-related parts can be considered an upstream or downstream company. Of course, here, upstream and downstream companies refer to those directly related to the automotive industry, meaning those without any intermediaries. In other implementations, all upstream and downstream companies can be considered.
[0157] S32. Obtain the types of upstream and downstream industries based on upstream and downstream enterprise information;
[0158] In other words, we obtain the upstream industry type of upstream enterprises and the downstream industry type of downstream enterprises. That is, the upstream and downstream industry types include upstream industry types and downstream industry types. The upstream and downstream enterprise types include the production equipment information of upstream and downstream enterprises. By using big data algorithms through equipment information, we can determine the industry type of upstream and downstream enterprises.
[0159] S33. Determine if there exists a matching industry type with the upstream and downstream industry types;
[0160] This means comparing and matching the same industry type with upstream and downstream industry types. The matching method is the same as the method for determining whether the current industry type matches the equipment industry type, thereby determining whether the relevance between the same industry type and the company being queried is sufficient.
[0161] S34. If it exists, then obtain the same industry type that does not match the upstream and downstream industry types, and use it as the cleared industry type;
[0162] If no matching industry type exists between the upstream and downstream industries, all matching industry types can be deleted, or no action can be taken. If matching industry types do exist, then the matching industry types that do not match the upstream and downstream industries are retrieved and removed as industry types. The retrieval method is the same as for different industry types.
[0163] S35. Obtain the third delete command to delete the cleared industry type.
[0164] Then, the third deletion command will clear the industry type deletion, thereby removing industry types that are not sufficiently relevant to the company being queried. Through this method, it is possible to determine whether to retain an industry type based on its relevance to the company being queried. Matching with the same industry type or upstream / downstream industry types also facilitates business expansion for the company being queried along upstream and downstream lines.
[0165] The third deletion command is the same as the first and second deletion commands. It can also set a retention period, so that the industry type to be deleted is deleted after the retention period expires. This can retain the data for as long as possible, so that the data can be retrieved again.
[0166] Reference Figure 5 To better align the retained industry categories with the development of the company being queried, in another embodiment, before obtaining the first delete instruction to delete the industry category, the following steps are also included:
[0167] S41. Obtain historical sales information of the equipment to be queried corresponding to the filtered industry type;
[0168] The historical sales information of the device to be queried on the Internet can be retrieved through big data. The historical sales information includes the annual sales trend within a preset period. The preset period can be set according to actual needs, such as three years, four years or five years.
[0169] S42. Obtain the sales trend of the device to be queried based on historical sales information;
[0170] This means obtaining the annual sales volume trend from historical sales information, i.e., the sales change trend. For example, if the annual sales volume of the device to be queried was 10,000 in 2017, 8,000 in 2018, 10,000 in 2019, 13,000 in 2020, 15,000 in 2021, and 17,000 in 2022, then the sales volume change trend can be determined to be an upward trend. Following the chronological order, if the sales changes each year are a decrease of 2,000, an increase of 2,000, an increase of 3,000, an increase of 2,000, and an increase of 2,000, then the trend can be further determined to be gradually stabilizing. This stabilizing trend is also an upward trend. Of course, to improve the accuracy of data acquisition, annual sales volume data for more years can be obtained.
[0171] S43. Determine whether the sales trend is upward;
[0172] In other words, it determines whether the annual sales volume is gradually increasing. If so, it indicates that the sales volume trend is upward, which means that the development prospects of the device being queried are quite promising.
[0173] S44. If not, proceed with the step of obtaining the first deletion instruction to delete the filtered industry type;
[0174] If the sales trend is not upward, it indicates that the development prospects of the equipment being queried are poor and there is a significant risk of loss. Therefore, there is no need to consider expanding the equipment being queried, and thus there is no need to retain the filtered industry type. At this point, we can continue to execute the step of obtaining the first delete instruction to delete the filtered industry type, thereby cleaning up the data and facilitating subsequent queries.
[0175] S45. If so, obtain the industry chain type of the business industry type;
[0176] If the sales trend is upward, it proves that the equipment to be queried corresponding to the industry type is equipment with good development prospects. Therefore, at this time, we obtain the industry chain type of the business industry type. The industry chain type is obtained in the same way as the upstream and downstream industry types. The difference is that the industry chain type includes both direct and indirect industries, and is not limited to directly related industries.
[0177] S46. Determine whether the industry chain industry type is included in the industry type selection;
[0178] In other words, it determines whether the filtered industry types contain the same industry types as the industry types in the industrial chain. The determination method is to check whether the names of the industry types are the same. If they are the same, the entire industry type is included; otherwise, it is excluded.
[0179] S47. If included, obtain the filtered industry types that do not include industry types in the industrial chain, as the industry types to be removed;
[0180] If the industry type selection includes supply chain industry types, it means that not all industry types need to be deleted. Therefore, we can obtain the industry types that do not include supply chain industry types as the industry types to be removed.
[0181] S48. Obtain the fourth delete instruction to delete the industry type;
[0182] The fourth deletion command will remove the industry type and delete it in the same way as the first deletion command for filtering industry types.
[0183] S49. If not included, execute the step of obtaining the first deletion instruction to delete the filtered industry type;
[0184] If the industry chain type is not included in the industry selection, it means that all selected industry types are irrelevant to the company being queried. Therefore, there is no need to retain these selected industry types, and the step of obtaining the first deletion instruction to delete the selected industry types can continue. Thus, by using the above method, the retained selected industry types can be more closely aligned with the development of the company being queried, facilitating the company's future development.
[0185] Reference Figure 6 In another embodiment, if the industry type selection includes supply chain industry types, the method further includes:
[0186] S51. Obtain the filtered industry types, including industry types in the industrial chain, as the retained industry types;
[0187] When the industry type to be filtered includes the industry type of the industrial chain, the industry types that include the industry type of the industrial chain are obtained and retained as the industry types that are not deleted.
[0188] S52. Obtain the correlation between the retained industry type and the operating industry type of the equipment;
[0189] Next, the correlation between the retained industry type and the operating industry type of equipment is obtained. This can be done by obtaining the size and price of the equipment corresponding to the retained industry type, and the expansion space and expansion funds of the enterprise corresponding to the operating industry type. Then, based on the relationship between the size and price of the equipment corresponding to the retained industry type and the expansion space and expansion funds of the enterprise corresponding to the operating industry type, the equipment correlation is determined according to a preset correlation comparison table.
[0190] The correlation table includes expansion space, expansion funds corresponding to the expansion space, and correlation degree corresponding to the expansion funds. When the volume and price of the acquired equipment can be matched with the exact same expansion space and expansion funds, the obtained correlation degree is the equipment correlation degree.
[0191] Of course, the method of obtaining equipment correlation can also be determined based on other conditions, such as whether the equipment corresponding to the retained industry type and the equipment corresponding to the operating industry type can be used interchangeably or can be used interchangeably after modification, and whether the number of interchangeable items reaches a certain value. Different values correspond to different correlations, etc.
[0192] S53. Determine whether the device correlation degree exceeds the preset correlation degree;
[0193] In other words, it determines whether the device correlation degree is greater than or equal to the preset correlation degree, thereby determining whether the retained industries need to be retained. The preset correlation degree can be set according to actual needs.
[0194] S54. If not exceeded, obtain the fifth deletion instruction to delete the retained industry type;
[0195] If the relevance exceeds the preset threshold, no further action is required, and the retained industry types do not need to be deleted. If the relevance does not exceed the preset threshold, the fifth delete instruction will be executed to delete the retained industry types. The deletion method is the same as that used when deleting filtered industry types based on the first delete instruction, thus ensuring that the retained industry types have sufficient relevance to the company being queried, facilitating subsequent data queries.
[0196] Reference Figure 7 If the device to be queried undergoes a version update, the corresponding data may change. Therefore, to facilitate timely data updates, in another embodiment, after obtaining the current query information of the device to be queried, the method further includes:
[0197] S61. Obtain the version information of the device to be queried;
[0198] During the process of identifying the device to be queried, the version information of the device to be queried will be identified and recorded. After obtaining the version information, it can be sent to the display system for reading.
[0199] S62. Determine whether the version of the device to be queried is updated based on the version information;
[0200] The version information includes the version number of the device to be queried. The obtained version number is compared with the historical version number of the device to be queried to determine whether the new version number is greater than the historical version number. If it is, it proves that the version of the device to be queried has been updated; otherwise, it means that it has not been updated.
[0201] S63. If so, obtain device update information based on version information;
[0202] If the version of the device being queried has not been updated, no further action is required. If the version of the device being queried has been updated, the device update information will be retrieved based on the version information; that is, the version information includes the device update information. The device update information includes the content and location of the update, among other things.
[0203] S64. Determine if the currently queried information contains device update information;
[0204] In other words, it determines whether the information to be queried includes the content of the device update device, and thus determines whether the device update information needs to be added to the device query information.
[0205] S65. If it exists, obtain the detection data information corresponding to the device update information;
[0206] If it does not exist, it means that the current query does not need to query the updated content; if it does exist, then obtain the detection data information corresponding to the device update information, that is, the update content and location information that need to be queried in the device update information.
[0207] S66. Add the detection data information to the corresponding device query information;
[0208] Finally, the detection data is added to the corresponding device query information, that is, to the updated device's corresponding device query information, so that the corresponding data information can be obtained and queried in the future.
[0209] The implementation principle of the method for displaying industrial internet identifier resolution data in this application embodiment is as follows: Equipment industry type and equipment query information are generated based on the identifier resolution information, thereby enabling categorization according to equipment industry type. Then, the current query information is matched with the equipment industry type to obtain the corresponding equipment industry type as a filter type. This eliminates the need to search and match all equipment query information across all equipment industry types. After obtaining the filter type, the corresponding equipment query information is retrieved, and the current query tag is matched with the equipment query tags in the equipment query information to obtain the corresponding equipment display information, which is then displayed as the current display information. Because categorization and initial matching are performed based on industry type, and subsequent display information is obtained only after a successful match, there is no need to filter through all display information during this process. Therefore, it effectively reduces time wasted in the search process and improves search efficiency.
[0210] This application also discloses an industrial internet identifier resolution data display system, which can achieve the same technical effect as the above-described industrial internet identifier resolution data display method.
[0211] Reference Figure 8 The industrial internet identifier resolution data display system includes:
[0212] The first information acquisition module 1 is used to acquire the device's identification resolution information, which includes the industry type resolution and device resolution information.
[0213] The second information acquisition module 2 is used to generate the equipment industry type and the corresponding equipment query information based on the identifier resolution information;
[0214] The third information acquisition module 3 is used to acquire the current query information of the device to be queried, including the current industry type and current query tag of the device to be queried.
[0215] Type acquisition module 4 is used to acquire the corresponding equipment industry type based on the current industry type, and use it as the filtering type;
[0216] The fourth information acquisition module 5 is used to acquire device query information corresponding to the filter type. The device query information includes device query tags and device display information corresponding to the device query tags.
[0217] The fifth information acquisition module 6 is used to obtain the corresponding device display information based on the current query tag and the device query tag, and use it as the current display information.
[0218] Specifically, the first information acquisition module 1 first acquires the device's identification resolution information and sends it to the second information acquisition module 2 connected to it. The identification resolution information includes the industry type and device resolution information.
[0219] Next, the second information acquisition module 2 generates the equipment industry type and the corresponding equipment query information based on the identifier resolution information, and sends it to the type acquisition module 4 connected to it. Then, the third information acquisition module 3 obtains the current query information of the equipment to be queried, and sends it to the type acquisition module 4 and the fifth information acquisition module 6 connected to it. The current query information includes the current industry type and current query tag of the equipment to be queried.
[0220] The type acquisition module 4 acquires the corresponding equipment industry type based on the current industry type, uses it as a filter type, and sends it to the fourth information acquisition module 5 connected to it. Then, the fourth information acquisition module 5 acquires the equipment query information corresponding to the filter type and sends it to the fifth information acquisition module 6 connected to it. The equipment query information includes equipment query tags and the equipment display information corresponding to the equipment query tags.
[0221] Finally, the fifth information acquisition module 6 retrieves the corresponding device display information based on the current query tags and device query tags, and uses this information as the current display information. Since the information is categorized and initially matched according to industry type, and subsequent display information is only retrieved after a successful match, there is no need to filter through all the displayed information during this process. Therefore, it effectively reduces time wasted in the search process and improves search efficiency.
[0222] This application also discloses an intelligent terminal, including a memory and a processor. The memory stores an intelligent computer program. The processor, when running the intelligent computer program, is capable of executing the steps of the aforementioned method for displaying industrial internet identifier resolution data. The intelligent computer program can use known processing procedures to perform a series of steps such as querying, comparing, and judging data, thereby realizing the display of industrial internet identifier resolution data.
[0223] This application also discloses a computer-readable storage medium that stores a computer program that can be loaded by a processor and executed as described above in the method for displaying industrial internet identifier resolution data. The computer-readable storage medium includes, for example, various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0224] The above are all preferred embodiments of this application, and are not intended to limit the scope of protection of this application. Therefore, all equivalent changes made in accordance with the structure, shape and principle of this application should be covered within the scope of protection of this application.
Claims
1. A method for displaying industrial internet identifier resolution data, characterized in that, include: Obtain the device's identifier resolution information, which includes the industry type resolution and device resolution information; Based on the identifier resolution information, generate the equipment industry type and the equipment query information corresponding to the equipment industry type; Obtain the current query information of the device to be queried, including the current industry type and current query tag of the device to be queried; Based on the current industry type, obtain the corresponding equipment industry type as the filtering type; Obtain the device query information corresponding to the filter type, wherein the device query information includes device query tags and device display information corresponding to the device query tags; Based on the current query tag and the device query tag, obtain the corresponding device display information as the current display information; After obtaining the corresponding device display information based on the current query tag and the device query tag, and using it as the current display information, the process further includes: Obtain the current device location of the device to be queried; Based on the current device location, obtain the enterprise information of the enterprise to be queried where the current device is located; Based on the enterprise information, the business industry type of the enterprise to be queried is obtained; Determine whether there exists an equipment industry type that does not match the stated business industry type; If it exists, then obtain the equipment industry type that does not match the business industry type and use it as the filter industry type; Obtain the first delete instruction to delete the filtered industry type; Before obtaining the first deletion instruction to delete the filtered industry type, the process also includes: The frequency of obtaining the filtered industry type is used as the first frequency; Determine whether the first frequency exceeds the preset frequency; If the limit is not exceeded, continue with the step of obtaining the first deletion instruction to delete the filtered industry type; If the number exceeds the limit, then determine whether all the selected industry types are the same. If not, then obtain the same filtered industry type as the same industry type; The acquisition frequency of the same industry type is obtained as the second frequency; Determine whether the second frequency exceeds the preset frequency; If the limit is not exceeded, continue with the step of obtaining the first deletion instruction to delete the filtered industry type; If the number exceeds the limit, different industry types are obtained based on the filtered industry types and the same industry types; Obtain a second deletion instruction to delete the different industry types; After obtaining the current query information of the device to be queried, the process also includes: Obtain the version information of the device to be queried; Based on the version information, determine whether the version of the device to be queried has been updated; If so, then obtain device update information based on the version information; Determine whether the currently queried information contains the device update information; If it exists, obtain the detection data information corresponding to the device update information; The detection data information is added to the corresponding device query information.
2. The display method according to claim 1, characterized in that, If the second frequency exceeds the preset frequency, the method further includes: Based on the enterprise information, obtain the upstream and downstream enterprise information of the enterprise to be queried; Based on the upstream and downstream enterprise information, the types of upstream and downstream industries are obtained; Determine whether there exists a matching industry type that corresponds to the upstream and downstream industry types; If it exists, then obtain the same industry type that does not match the upstream and downstream industry types and use it as the industry type to be cleared. Obtain a third deletion instruction to delete the industry type to be cleared.
3. The display method according to claim 1, characterized in that, Before obtaining the first deletion instruction to delete the filtered industry type, the method further includes: Obtain the historical sales information of the device to be queried corresponding to the filtered industry type; Based on the historical sales information, obtain the sales trend of the device to be queried; Determine whether the sales trend is upward. If not, then execute the step of obtaining the first deletion instruction to delete the filtered industry type; If so, then obtain the industry chain type of the business industry type; Determine whether the industry chain type is included in the selected industry types; If included, then the filtered industry types that do not include the industry type of the industrial chain are obtained as the industry types to be removed; Obtain the fourth deletion instruction to delete the erased industry type; If not included, then execute the step of obtaining the first deletion instruction to delete the filtered industry type.
4. The display method according to claim 3, characterized in that, If the industry type to be screened includes the industry type of the industrial chain, it also includes: Obtain the filtered industry types, including the industry types of the aforementioned industrial chain, as the retained industry types; Obtain the equipment correlation degree between the retained industry type and the operating industry type; Determine whether the device correlation degree exceeds a preset correlation degree; If the limit is not exceeded, then obtain the fifth deletion instruction to delete the reserved industry type.
5. A smart terminal, characterized in that, include: Memory is used to store computer programs that can run on a processor; The processor, when running the computer program, is capable of performing the steps of the method as described in any one of claims 1 to 4.
6. A computer-readable storage medium, characterized in that: The computer program is stored that can be loaded by a processor and executed according to any one of claims 1 to 4.
Citation Information
Patent Citations
Data processing method and device, electronic equipment and computer storage medium
CN115481439A