Business data processing method, system and product based on power and environment monitoring

Abstract

The invention relates to the technical field of business data processing, in particular to a business data processing method and system based on power and environment monitoring and a product. Identifying to-be-integrated parameters contained in each piece of service data and a parameter index corresponding to each to-be-integrated parameter according to a preset service, wherein the parameter index comprises a service source and a timestamp; based on each to-be-integrated parameter and the parameter index corresponding to each to-be-integrated parameter, obtaining a preset service-oriented data information form; based on a preset parameter standard corresponding to each preset service, judging whether the corresponding data information form contains an abnormal parameter or not; and if yes, generating parameter alarm information based on an abnormal parameter index corresponding to the abnormal parameter, and feeding back the parameter alarm information. According to the invention, abnormal conditions can be found in time, and the source of abnormal reasons can be traced.

Description

Technical Field

[0001] The present application relates to the technical field of business data processing, and in particular to a business data processing method, system and product based on dynamic environment monitoring. Background Art

[0002] In the current information age, the stable operation of key facilities such as data centers and communication base stations is of vital importance. These key facilities contain a large number of power equipment and environmental equipment, such as generators, distribution cabinets, air conditioners, dehumidifiers, temperature and humidity sensors, etc., which jointly maintain the normal operation of these key facilities. The operating status of power equipment and environmental equipment may directly affect the stability and reliability of key facilities, so the dynamic environment monitoring system is widely used.

[0003] In the related technologies, the business data of various power equipment or environmental equipment are mainly collected through sensors, and the collected business data are transmitted to the power environment monitoring system for analysis and processing. However, due to the large number of sensors and their wide distribution, the business data collected by a single sensor may not be able to reflect the overall operating status of the power equipment or environmental equipment, making it difficult to detect abnormal situations in time. In addition, when an abnormal situation is found based on the analysis results of the business data, it is often only possible to simply trigger an alarm, and the root cause of the abnormal situation cannot be traced, making it difficult for relevant operation and maintenance personnel to quickly locate the abnormality and take effective measures. Summary of the invention

[0004] In order to facilitate the timely discovery of abnormal situations and to trace the root causes of the abnormalities, the present application provides a business data processing method, system and product based on dynamic environment monitoring.

[0005] In the first aspect, the present application provides a business data processing method based on dynamic environment monitoring, which adopts the following technical solution: A business data processing method based on dynamic environment monitoring, comprising: Obtaining the business data uploaded by each business module, identifying the parameters to be integrated contained in each business data and the parameter index corresponding to each parameter to be integrated, wherein the parameter index includes the business source and the timestamp; Based on each parameter to be integrated and the parameter index corresponding to each parameter to be integrated, a data information form for a preset business is obtained; Based on the preset parameter standard corresponding to each preset business, determine whether the corresponding data information form contains abnormal parameters; If so, parameter warning information is generated based on the abnormal parameter index corresponding to the abnormal parameter, and the parameter warning information is fed back.

[0006] By adopting the above technical solution, by integrating the business data uploaded by each business module, it is convenient to improve the comprehensiveness and completeness of the business data, so as to facilitate the intuitive reflection of the overall operating status of the dynamic environment equipment, and to identify and judge whether there are abnormal parameters through the preset parameter standards corresponding to each preset business, so as to facilitate the improvement of the accuracy of determining abnormal parameters. In addition, by identifying the parameters to be integrated from the business data and assigning corresponding parameter indexes to each parameter to be integrated, each data to be integrated can still maintain its original source and time information after integration, so as to facilitate the rapid and accurate tracing of abnormalities after the occurrence of abnormal parameters. Finally, by generating alarm information based on abnormal parameters and abnormal parameter indexes, and timely feedback of alarm information, it is convenient for relevant operation and maintenance personnel to quickly locate abnormalities and take effective measures.

[0007] In a possible implementation, before obtaining the preset business-oriented data information form based on each parameter to be integrated and the parameter index corresponding to each parameter to be integrated, the method further includes: Performing feature recognition on each parameter to be integrated, and judging whether all parameters to be integrated include a similar parameter combination based on the feature recognition result, wherein the similar parameter combination includes at least two similar parameters to be integrated, and the at least two similar parameters to be integrated have the same parameter feature; If yes, then performing data matching on at least two similar parameters to be integrated contained in the similar parameter combination, and determining whether the at least two similar parameters to be integrated are repeated; If there is no repetition, the number of occurrences and business sources of each data content in the at least two similar parameters to be integrated are integrated, and based on the number of occurrences of each data content and the importance level of the corresponding business source, the data score corresponding to each data content is determined, and based on the data score of each data content, the final parameters of the parameter characteristics corresponding to the similar parameter combination are determined from all data contents corresponding to the at least two similar parameters to be integrated.

[0008] By adopting the above technical solution, by performing feature recognition on each parameter to be integrated, it is convenient to analyze the similarities between the feature parameters to be integrated, so as to eliminate duplicate data in the process of generating data information forms, avoid data redundancy, and thus facilitate improving the accuracy and consistency of data information in the data information form. In addition, when there are similar parameter combinations, the data score of each data content is determined based on the number of occurrences of the data content and the importance level of the corresponding business source, so as to evaluate the authenticity and reliability of each data content, and finally determine the final parameters based on the data scores. When the data information form is determined based on the final parameters, it is convenient to improve the reliability and accuracy of the data information form.

[0009] In a possible implementation, when the data information form includes final parameters of parameter features corresponding to similar parameter combinations, the method further includes: Determining a data display area based on a parameter position of the final parameter in the data information form; Based on the data score of each data content and the mapping relationship between the preset node size, determine the display node size corresponding to each data content, and generate a content node graph based on each data content and the display node size corresponding to each data content; The content node graph is bound to the data display area, and when it is detected that a relevant visitor triggers the data display area, the content node graph corresponding to the data display area is displayed.

[0010] By adopting the above technical solution, the data display area is determined by the position of the final parameter in the data information form, and the display node size is set in combination with the data score of the data content, so as to generate an intuitive and clear content node diagram. In addition, by binding the content node diagram to the data display area, and displaying the corresponding content node diagram only when it is detected that the visitor triggers the display area, it is convenient to provide an instant and responsive data display experience, so as to meet the access needs of different visitors, thereby improving the user experience.

[0011] In a possible implementation, based on each parameter to be integrated and a parameter index corresponding to each parameter to be integrated, a data information form for any preset business is obtained, including: Acquire the preset business-oriented to-be-filled form template, and identify the to-be-filled spaces contained in the to-be-filled form template and space guidance information corresponding to each to-be-filled space, wherein the space guidance information includes space characteristics and space formats; Based on the vacancy guidance information corresponding to each vacancy to be filled, a target parameter to be integrated corresponding to each vacancy to be filled is determined from all parameters to be integrated, and based on the vacancy format of each vacancy to be filled, a data format conversion is performed on the target parameter to be integrated for each vacancy to be filled, so as to obtain a final parameter to be integrated corresponding to each vacancy to be filled; Add each final parameter to be integrated to the corresponding empty space to be filled to obtain an initial data information form; Bind each final parameter to be integrated with the parameter index corresponding to each final parameter to be integrated to obtain a parameter binding relationship; The preset business-oriented data information form is obtained based on the initial information form and the parameter binding relationship.

[0012] By adopting the above technical solution, by automatically identifying the unfilled spaces and corresponding space guide information in the form template to be filled, it is convenient to quickly locate the data location and data requirements that need to be filled, reducing the time and error rate of manual operation, and performing data format conversion through the space guide information, it is convenient to ensure that each unfilled space can be filled with correct parameters that meet the format requirements, thereby reducing the possibility of data inconsistency or errors in the data information form, and finally, by establishing a parameter binding relationship, it is convenient to ensure that each final parameter to be integrated in the data information form can be associated with its corresponding parameter index, thereby facilitating subsequent data tracking and verification.

[0013] In one possible implementation, the method further includes: Determine the parameter validity of each final parameter to be integrated based on the upload frequency of each business module and the parameter index of each final parameter to be integrated in the data information form; Based on the parameter validity of each final parameter to be integrated, the display time of each final parameter to be integrated in the data information form is limited.

[0014] By adopting the above technical solution, by comprehensively considering the upload frequency of the business module and the parameter index of the final parameter to be integrated, it is convenient to dynamically evaluate the timeliness of each final parameter to be integrated, thereby avoiding the display of outdated or invalid data, and further facilitating improving the accuracy and reliability of the data information form.

[0015] In one possible implementation, the method further includes: When a broadcast instruction is detected, identifying the broadcast instruction and determining a broadcast level corresponding to the broadcast instruction; An available broadcast communication channel is determined based on the broadcast level, and broadcasting is performed based on the available broadcast communication channel and the broadcast instruction.

[0016] By adopting the above technical scheme, it is convenient to automatically determine the corresponding broadcast level according to the content or importance of the broadcast instruction. By dividing the broadcast levels, it is convenient to intelligently select appropriate communication channels to achieve differentiated processing of broadcast information of different levels, improve the efficiency and coverage of the broadcast, and also facilitate to improve the security of the broadcast process, thereby preventing the leakage of broadcast content.

[0017] In a second aspect, the present application provides a processing system, which adopts the following technical solution: A processing system, the processing system comprising: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned business data processing method based on dynamic environment monitoring.

[0018] In a third aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the above-mentioned business data processing method based on dynamic environment monitoring.

[0019] In a fourth aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product includes a computer program, and when the computer program is executed by a processor, the business data processing method based on dynamic environment monitoring is implemented.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: By integrating the business data uploaded by each business module, it is convenient to improve the comprehensiveness and completeness of the business data, so as to intuitively reflect the overall operating status of the dynamic environment equipment. By identifying and judging whether there are abnormal parameters through the preset parameter standards corresponding to each preset business, it is convenient to improve the accuracy of determining abnormal parameters. In addition, by identifying the parameters to be integrated from the business data and assigning corresponding parameter indexes to each parameter to be integrated, each data to be integrated can still maintain its original source and time information after integration, so as to facilitate fast and accurate abnormal tracing after the abnormal parameters appear. Finally, by generating alarm information based on abnormal parameters and abnormal parameter indexes, and timely feedback of alarm information, it is convenient for relevant operation and maintenance personnel to quickly locate abnormalities and take effective measures.

[0021] The data display area is determined by the position of the final parameter in the data information form, and the display node size is set in combination with the data score of the data content, so as to generate an intuitive and clear content node diagram. In addition, by binding the content node diagram to the data display area, and displaying the corresponding content node diagram only when it is detected that the visitor triggers the display area, it is convenient to provide an instant and responsive data display experience, meet the access needs of different visitors, and thus improve the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a flowchart of a business data processing method based on dynamic environment monitoring in an embodiment of the present application; Figure 2 It is a schematic diagram of a display process of a content node graph in an embodiment of the present application; Figure 3It is a structural schematic diagram of a processing system in an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following is combined with Figures 1 to 3 This application is described in further detail.

[0024] After reading this specification, those skilled in the art may make non-creative modifications to this embodiment as needed, but such modifications are protected by patent law as long as they are within the scope of the claims of this application.

[0025] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0027] Specifically, the embodiment of the present application provides a business data processing method based on dynamic environment monitoring, which is executed by a processing system, and the processing system can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited to this. The terminal device and the server can be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application does not limit this.

[0028] refer to Figure 1 , Figure 1 : is a flow chart of a business data processing method based on dynamic environment monitoring in an embodiment of the present application, the method includes steps S110 to S140, wherein: Step S110: acquiring the business data uploaded by each business module, identifying the parameters to be integrated contained in each business data and the parameter index corresponding to each parameter to be integrated according to the preset business-oriented identification, wherein the parameter index includes the business source and the timestamp.

[0029] Specifically, when performing dynamic environmental monitoring on key facilities such as data centers and communication base stations, there may be multiple business modules involved, such as power business modules, environmental business modules, security business modules, fire protection business modules, and network business modules, etc. Different business modules have different corresponding functions. For example, the power business module mainly monitors the power supply operation status of key facilities such as data centers or communication base stations, including the operation status and parameters of equipment such as city power, UPS power supply, generator, and distribution cabinet; the environmental business module is mainly responsible for monitoring the environmental parameters of data centers or communication base stations, such as temperature and humidity, air quality, water leakage, etc. The number and specific functions of business modules are not specifically limited in the embodiments of this application, and can be set by relevant technical personnel according to actual needs. Each business module can upload the collected or collected business data to the processing system through the message bus. Different business modules have different communication channels when communicating with the processing system. Therefore, it is easy to reduce the probability of business data encountering interference during transmission.

[0030] The preset business-oriented is a business project that needs to be monitored or evaluated, such as equipment health assessment, work efficiency assessment, operation status report, parameter change trend, etc. When data processing is performed based on the preset business-oriented, it may involve integrating the business data uploaded by one or more business modules, wherein different preset business-oriented businesses involve different business modules, and the parameters to be integrated involved in the same business data are also different. The business modules involved in the preset business-oriented and the parameters to be integrated involved in the business data corresponding to each business module can be determined based on the preset parameter mapping relationship. The preset parameter mapping relationship includes the business modules corresponding to each preset business-oriented and the parameters to be integrated involved in the business data corresponding to the business modules involved. The specific content is not specifically limited in the embodiment of the present application and can be determined by relevant staff based on historical experimental data and uploaded to the processing system.

[0031] The parameter index corresponding to the parameters to be integrated can be a key value index or a hash index. The specific form is not limited in the embodiment of the present application. As long as the business source and timestamp of the parameters to be integrated can be accessed through the parameters to be integrated, the business source in the parameter index is used to record the business module corresponding to the parameters to be integrated. The timestamp is the time when the parameters to be integrated are collected or obtained. The specific content of the parameter index is not limited in the embodiment of the present application and can be determined by relevant staff based on historical experimental data and uploaded to the processing system.

[0032] Step S120: Based on each parameter to be integrated and the parameter index corresponding to each parameter to be integrated, a preset business-oriented data information form is obtained.

[0033] Specifically, different preset business-oriented data information forms correspond to different business-oriented data information forms. For any preset business-oriented data information form, the parameters to be integrated corresponding to the preset business-oriented data information form are merged, and then the data merged result is bound to the parameter index corresponding to each parameter to be integrated, so as to obtain the preset business-oriented data information form. Further, based on each parameter to be integrated and the parameter index corresponding to each parameter to be integrated, the data information form for any preset business-oriented data information form is obtained, which may specifically include: A preset business-oriented form template to be filled is obtained, and the spaces to be filled contained in the form template to be filled and the space guidance information corresponding to each space to be filled are identified, wherein the space guidance information includes space characteristics and space formats; based on the space guidance information corresponding to each space to be filled, a target parameter to be integrated corresponding to each space to be filled is determined from all parameters to be integrated, and based on the space format of each space to be filled, data format conversion is performed on the target parameter to be integrated for each space to be filled, so as to obtain a final parameter to be integrated corresponding to each space to be filled; each final parameter to be integrated is added to the corresponding space to be filled, so as to obtain an initial data information form; each final parameter to be integrated is bound to the parameter index corresponding to each final parameter to be integrated, so as to obtain a parameter binding relationship; based on the initial information form and the parameter binding relationship, a preset business-oriented data information form is obtained.

[0034] Specifically, before data splicing, the preset business-oriented form template to be filled corresponding to the form template to be filled can be obtained first, and then the parameters to be integrated corresponding to the form template to be filled can be added to the form template, wherein different preset business-oriented form templates to be filled are different, and the correspondence between the preset business-oriented form template and the form template to be filled can be uploaded to the processing system in advance by relevant staff. At the same time, the presentation and input methods of the same parameters to be filled in different form templates to be filled are also different. For example, a parameter to be filled needs to be displayed in the form of a line chart in the preset business-oriented form template to be filled a, while it needs to be displayed in the form of text in the preset business-oriented form template to be filled b. The slot format of each slot to be filled in the form template to be filled is used to limit the presentation method of the corresponding parameter to be filled. The slot format can be determined by the relevant staff when setting the form template to be filled, and bound to the form template to be filled. The slot feature is used to limit the data content of the corresponding parameter to be filled. Based on the slot feature, it is convenient to determine the corresponding parameter to be filled in the slot to be filled from multiple parameters to be filled.

[0035] Based on the vacancy features in the vacancy guidance information corresponding to the vacancy to be filled and the preset feature recognition algorithm, feature recognition and traversal can be performed from multiple parameters to be filled to determine the target parameters to be integrated corresponding to the vacancy to be filled. Since the target parameters to be integrated are extracted from the business data uploaded by the business module, the data format of the target parameters to be integrated may not meet the display requirements of the corresponding vacancy to be filled. At this time, in order to improve the standardization of the data information form, the determined target parameters to be integrated can be converted to a data format based on the vacancy format corresponding to the vacancy to be filled. The data format conversion process may involve text to number, number to text, date format conversion, etc. The specific data format conversion method is not specifically limited in the embodiments of the present application. The target parameters to be integrated after format conversion can be referred to as final parameters to be integrated. After determining the final parameters to be integrated for each vacancy to be filled, the final parameters to be integrated can be added to the corresponding vacancy to be filled to obtain the initial information form.

[0036] Since each final parameter to be integrated is obtained after data conversion of the parameters to be integrated, and each parameter to be integrated corresponds to a parameter index, therefore, each final parameter to be integrated also corresponds to a parameter index. By binding each final parameter to be integrated with the corresponding parameter index, it is convenient to quickly locate the business source and timestamp of each final parameter to be integrated according to the parameter index without traversing the entire data set or performing complex query operations. In order to improve the efficiency of data access, the parameter index is stored separately in a special index structure, such as a B-tree, a hash table, etc., that is, in an embodiment of the present application, the storage locations of the final parameters to be integrated and the corresponding parameter index are different. Through the parameter binding relationship, each final parameter to be integrated in the initial information form can be mapped to the corresponding field in the business data uploaded by the corresponding business template, thereby facilitating subsequent data tracking and verification.

[0037] Step S130: Based on the preset parameter standard corresponding to each preset business-oriented service, it is determined whether the corresponding data information form contains abnormal parameters.

[0038] Specifically, the preset parameter standard can be the allowable value range, whether it is required, the value type, the reasonable operating value, etc. For example, the standard of the service life parameter is 18 to 30 years, but the parameter value in the data information form is 5 years. At this time, the service life parameter can be determined as an abnormal parameter; the standard of the operating temperature parameter is 20-38 degrees, but the parameter in the data information form is 45 degrees. At this time, the operating temperature parameter can be determined as an abnormal parameter. The specific preset parameter standard is not specifically limited in the embodiment of this application, and can be determined by relevant staff based on historical experimental data and uploaded to the processing system. Different preset business-oriented corresponding preset parameter standards are different. When judging whether the corresponding data information form contains abnormal parameters based on the preset parameter standard, the vacancy parameter standard corresponding to each vacancy to be filled can be first identified from the preset parameter standard, and then the final parameter to be integrated at the vacancy to be filled can be verified based on each vacancy parameter standard. Whether it meets the standard, if not, the corresponding parameter to be integrated is determined as an abnormal parameter. The data information form may contain one abnormal parameter or multiple abnormal parameters. The number of abnormal parameters contained in the data information form is not specifically limited in the embodiment of this application.

[0039] Step S140: If yes, parameter warning information is generated based on the abnormal parameter index corresponding to the abnormal parameter, and the parameter warning information is fed back.

[0040] Specifically, when it is detected that the data information form contains abnormal parameters, the cause or situation of the abnormality can be quickly traced according to the abnormal parameter index corresponding to the abnormal parameter. That is, according to the abnormal parameter index corresponding to the abnormal parameter, it is possible to jump directly to the original business data without traversing and checking all business data, and the tracing results and the abnormal parameters are fed back together, so as to facilitate relevant operation and maintenance personnel to quickly locate the abnormality and take effective measures.

[0041] For the embodiments of the present application, by integrating the business data uploaded by each business module, it is convenient to improve the comprehensiveness and completeness of the business data, so as to facilitate the intuitive reflection of the overall operating status of the dynamic environment equipment, and to identify and judge whether there are abnormal parameters through the preset parameter standards corresponding to each preset business, so as to facilitate the improvement of the accuracy in determining abnormal parameters. In addition, by identifying the parameters to be integrated from the business data and assigning a corresponding parameter index to each parameter to be integrated, each data to be integrated can still maintain its original source and time information after integration, so as to facilitate the rapid and accurate tracing of abnormalities after the occurrence of abnormal parameters. Finally, by generating alarm information based on abnormal parameters and abnormal parameter indexes, and promptly feeding back the alarm information, it is convenient for relevant operation and maintenance personnel to quickly locate abnormalities and take effective measures.

[0042] Further, in order to improve the reliability and accuracy of the data information form, before obtaining the preset business-oriented data information form based on each parameter to be integrated and the parameter index corresponding to each parameter to be integrated, the method provided in the embodiment of the present application also includes: Feature recognition is performed on each parameter to be integrated, and based on the feature recognition result, it is determined whether all the parameters to be integrated contain a similar parameter combination, wherein the similar parameter combination contains at least two similar parameters to be integrated, and at least two similar parameters to be integrated have the same parameter feature.

[0043] Specifically, since there may be data intersection and sharing between different business modules, for example, the energy consumption data in the power business module may be associated with the carbon emission data in the environmental business module; the surveillance video data in the security business module may be used for environmental monitoring or event investigation purposes, therefore, after identifying all the parameters to be integrated from multiple business data, all the parameters to be integrated can be preprocessed first, and then the data information form can be obtained based on the preprocessed parameters to be integrated. When all the parameters to be integrated are preprocessed, a preset feature recognition algorithm can be used to identify and determine whether all the parameters to be integrated from different business data contain similar parameter combinations. If two or more parameters to be integrated have the same parameter characteristics, the two or more parameters to be integrated with the same parameter characteristics are determined as a similar parameter combination, and the similar parameter combination contains at least two similar parameters to be integrated. The specific preset feature recognition algorithm is not specifically limited in the embodiment of the present application, as long as the parameter characteristics of each parameter to be integrated can be identified.

[0044] If so, data matching is performed on at least two similar parameters to be integrated contained in the similar parameter combination, and it is determined whether the at least two similar parameters to be integrated are repeated.

[0045] Specifically, after determining that all parameters to be integrated include similar parameter combinations, for any similar parameter combination, at least two similar parameters to be integrated included in the similar parameter combination can be further matched, that is, by determining whether at least two similar parameters to be integrated included in the similar parameter combination are consistent through data matching, and performing data matching on at least two similar parameters to be integrated, that is, matching the data contents of at least two similar parameters to be integrated. If the data similarity between the data contents of at least two similar parameters to be integrated is higher than the preset content similarity, it is determined that at least two similar parameters to be integrated are repeated. At this time, the at least two similar parameters to be integrated included in the similar parameter combination can be streamlined, and only one similar parameter to be integrated can be retained. Based on the above content, it can be determined and processed whether at least two similar parameters to be integrated included in each similar parameter combination are repeated.

[0046] If there is no repetition, the number of occurrences and business sources of each data content in at least two similar parameters to be integrated are integrated, and based on the number of occurrences of each data content and the importance level of the corresponding business source, the data score corresponding to each data content is determined; based on the data score of each data content, the final parameters of the parameter characteristics corresponding to the similar parameter combination are determined from all data contents corresponding to at least two similar parameters to be integrated.

[0047] Specifically, if the data similarity between the data contents of at least two similar parameters to be integrated is not higher than the preset content similarity, it is determined that at least two similar parameters to be integrated are not repeated. At this time, it is necessary to evaluate the reliability of the similar parameters to be integrated based on the number of occurrences and business sources of the data content corresponding to each similar parameter to be integrated in all similar parameters to be integrated. By quantifying the number of occurrences and business sources, it is convenient to intuitively view the reliability of each similar parameter to be integrated. The higher the data score, the higher the reliability of the corresponding similar parameter to be integrated. For example, the parameter feature corresponding to a similar parameter combination is a. The similar parameter combination contains three similar parameters to be integrated, namely parameter 1, parameter 2 and parameter 3, among which the data content of parameter 1 is a1, which comes from business module A; the data content of parameter 2 is a1, which comes from business module B; the data content of parameter 3 is a2, which comes from business module C; at this time, it is necessary to evaluate the number of occurrences and business sources of a1 and a2 in all similar parameters to be integrated in the similar parameter combination, so as to determine the data scores of a1 and a2, and thus determine the final parameter of parameter feature a; if the data score of a1 is higher than the data score of a2, a2 ​​is determined as the final parameter corresponding to the similar parameter combination, so as to achieve streamlined processing of the similar parameter combination.

[0048] Among them, the data score corresponding to each data content can be determined based on the preset score mapping relationship, and the preset parameter combination mapping relationship is the correspondence between the feature combination of the number of occurrences and the importance level of the corresponding business source and the data score, and the specific content is not specifically limited in the embodiment of this application. The importance level corresponding to each business module is different, and the importance level corresponding to each business module can be determined by the relevant staff and uploaded to the processing system in advance.

[0049] Further, in order to facilitate meeting the access needs of different access personnel, the method provided in the embodiment of the present application may further include steps S210 to S230 when the final parameters of the parameter characteristics corresponding to the similar parameter combination are included in the data information form, such as Figure 2 As shown: Step S210: Determine the data display area based on the parameter position of the final parameter in the data information form.

[0050] Specifically, the parameter position of the final parameter can be identified from the data information form according to a preset feature recognition algorithm. For ease of identification, after the final parameter is determined, an identification feature can be set for the final parameter. By identifying and traversing the identification feature, the parameter position can be quickly and accurately identified. The specific preset feature recognition algorithm is not specifically limited in the embodiment of the present application. After determining the parameter position, the data display area can be determined with the parameter position as the center and the preset distance as the radius, wherein the specific preset distance is not specifically limited in the embodiment of the present application, and can be determined by relevant staff based on historical experimental data and uploaded to the processing system. The data display area is used to display all data content corresponding to the current empty space. For example, data content a1 and data content a2 will be displayed simultaneously in the data display area.

[0051] Step S220: based on the data score of each data content and the preset node size mapping relationship, determine the display node size corresponding to each data content, and generate a content node graph based on each data content and the display node size corresponding to each data content.

[0052] Specifically, a display node can be determined for each data content in the data display area. For easy distinction, the size of each display node can be determined according to a preset node size mapping relationship. The preset node size mapping relationship is the correspondence between the data score and the display node size. The specific content is not specifically limited in the embodiment of the present application. That is, nodes of different sizes are used to display data content with different data scores. All display nodes constitute a content node graph, and the position of each display node in the content node graph is not limited.

[0053] Step S230: Bind the content node graph to the data display area, and when it is detected that the relevant visitor triggers the data display area, display the content node graph corresponding to the data display area.

[0054] Specifically, since the final parameters are determined from the data contents of multiple similar parameters to be integrated according to the data scores, the reliability of the data contents may be reduced while the comprehensiveness or diversity of the data contents may be reduced. By integrating all the data contents corresponding to the current vacancy into a content node graph and displaying the content node graph in the data display area, it is convenient to improve the richness of the access results. In addition, by using display nodes of different sizes to distinguish different data contents, it is also convenient to intuitively display the differences between various data contents. The binding relationship between the data display area and the content node graph can be stored in the data storage module of the processing system for subsequent retrieval and display. When it is detected that the relevant visitor interacts with the data display area, the corresponding content node graph will be displayed immediately, so as to provide an instant and responsive data display experience.

[0055] Furthermore, in order to improve the accuracy and reliability of the data information form, the method provided in the embodiment of the present application also includes: Based on the upload frequency of each business module and the parameter index of each final parameter to be integrated in the data information form, the parameter validity of each final parameter to be integrated is determined; based on the parameter validity of each final parameter to be integrated, the display time of each final parameter to be integrated in the data information form is limited.

[0056] Specifically, the upload frequency of the business module is related to the update frequency of the business data. The higher the upload frequency, the higher the corresponding update frequency. Since each final parameter to be integrated is provided with a parameter index, the business module of each final parameter to be integrated can be quickly located based on the parameter index of each final parameter to be integrated, that is, it is convenient to quickly determine the update frequency corresponding to each parameter to be integrated. The parameter validity is the length of time between two consecutive update times. For example, the first update time is 10:00, and the second update time is 10:10, that is, the update frequency is updated every 10 minutes, and the parameter validity can be determined to be 10 minutes.

[0057] The validity of the parameters reflects the latest status and reliability of the corresponding data content. Outdated data content may no longer be accurate. Therefore, limiting the display duration of the corresponding final parameter to be integrated through parameter validity is convenient for ensuring that relevant visitors access the latest and most reliable data content. The display countdown frame can be set according to the display duration of each final parameter to be integrated. Once the display countdown frame returns to 0, the data content of the corresponding final parameter to be integrated in the data information form is immediately overwritten or eliminated, thereby limiting the display duration of each final parameter to be integrated in the data information form.

[0058] By comprehensively considering the upload frequency of the business module and the parameter index of the final parameter to be integrated, it is convenient to dynamically evaluate the timeliness of each final parameter to be integrated, thereby avoiding the display of outdated or invalid data, and further facilitating the improvement of the accuracy and reliability of the data information form.

[0059] Furthermore, the method provided in the embodiment of the present application also includes: When a broadcast instruction is detected, the broadcast instruction is identified and a broadcast level corresponding to the broadcast instruction is determined; an available broadcast communication channel is determined based on the broadcast level, and broadcasting is performed based on the available broadcast communication channel and the broadcast instruction.

[0060] Specifically, the broadcast instruction can be sent to the processing system by relevant staff, and the broadcast level corresponding to the broadcast instruction can be determined according to the preset feature recognition algorithm. The broadcast level can include three levels: low, medium, and high. Different broadcast levels correspond to different broadcast features. Therefore, the broadcast level corresponding to the broadcast instruction can be located through the feature recognition algorithm. The specific preset feature recognition algorithm is not specifically limited in the embodiment of the present application.

[0061] The higher the broadcast level, the higher the confidentiality of the broadcast instruction. By dividing different broadcast communication channels for broadcast instructions of different broadcast levels, it is convenient to prevent the broadcast content from being leaked. The broadcast communication channel corresponding to the broadcast level can be determined according to the preset channel mapping relationship. The preset channel mapping relationship includes available broadcast communication channels corresponding to different broadcast levels. The specific content is not specifically limited in the embodiments of this application and can be set by relevant technical personnel according to the actual opening of the communication channel.

[0062] By dividing the broadcast levels, it is convenient to intelligently select appropriate communication channels to achieve differentiated processing of broadcast information of different levels, thereby improving the efficiency and coverage of the broadcast, and also facilitating the improvement of security during the broadcast process.

[0063] The present application provides a processing system, such as Figure 3 As shown, Figure 3 The processing system 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the processing system 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the processing system 300 does not constitute a limitation on the embodiments of the present application.

[0064] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0065] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 The fact that only one line is used in the diagram does not mean that there is only one bus or only one type of bus.

[0066] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0067] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0068] The processing system includes, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The processing system shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0069] An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored. When the computer-readable storage medium is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment.

[0070] The embodiment of the present application provides a computer program product, which includes a computer program, which implements the method in any of the above embodiments when executed by a processor. Compared with the related art, in the embodiment of the present application, by integrating the business data uploaded by each business module, it is convenient to improve the comprehensiveness and integrity of the business data, so as to facilitate the intuitive reflection of the overall operating status of the dynamic environment equipment, and by identifying and judging whether there are abnormal parameters through each preset parameter standard corresponding to the business, it is convenient to improve the accuracy of determining abnormal parameters. In addition, by identifying the parameters to be integrated from the business data and assigning a corresponding parameter index to each parameter to be integrated, each data to be integrated can still maintain its original source and time information after integration, so as to facilitate the rapid and accurate tracing of abnormalities after the occurrence of abnormal parameters. Finally, by generating alarm information based on abnormal parameters and abnormal parameter indexes, and timely feedback of the alarm information, it is convenient for relevant operation and maintenance personnel to quickly locate abnormalities and take effective measures.

[0071] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0072] The above description is only a partial implementation method of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A business data processing method based on dynamic environment monitoring, characterized in that: include: Obtain the business data uploaded by each business module, and identify the parameters to be integrated contained in each business data and the parameter index corresponding to each parameter to be integrated according to the preset business-oriented identification, wherein the parameter index includes the business source and the timestamp; Based on each parameter to be integrated and a parameter index corresponding to each parameter to be integrated, obtaining the preset business-oriented data information form; Based on the preset parameter standards corresponding to each preset business, determine whether the corresponding data information form contains abnormal parameters; If so, parameter warning information is generated based on the abnormal parameter index corresponding to the abnormal parameter, and the parameter warning information is fed back.

2. A method for processing business data based on dynamic environment monitoring according to claim 1, characterized in that: Before obtaining the preset business-oriented data information form based on each parameter to be integrated and the parameter index corresponding to each parameter to be integrated, the method further includes: Performing feature recognition on each parameter to be integrated, and judging whether all parameters to be integrated include a similar parameter combination based on the feature recognition result, wherein the similar parameter combination includes at least two similar parameters to be integrated, and the at least two similar parameters to be integrated have the same parameter feature; If yes, then performing data matching on at least two similar parameters to be integrated contained in the similar parameter combination, and determining whether the at least two similar parameters to be integrated are repeated; If there is no repetition, the number of occurrences and business sources of each data content in the at least two similar parameters to be integrated are integrated, and based on the number of occurrences of each data content and the importance level of the corresponding business source, the data score corresponding to each data content is determined, and based on the data score of each data content, the final parameters of the parameter characteristics corresponding to the similar parameter combination are determined from all data contents corresponding to the at least two similar parameters to be integrated.

3. A method for processing business data based on dynamic environment monitoring according to claim 2, characterized in that: When the data information form contains the final parameters of the parameter characteristics corresponding to the similar parameter combination, it also includes: Determining a data display area based on a parameter position of the final parameter in the data information form; Based on the data score of each data content and the mapping relationship between the preset node size, determine the display node size corresponding to each data content, and generate a content node graph based on each data content and the display node size corresponding to each data content; The content node graph is bound to the data display area, and when it is detected that a relevant visitor triggers the data display area, the content node graph corresponding to the data display area is displayed.

4. The method for processing business data based on dynamic environment monitoring according to claim 1, characterized in that: Based on each parameter to be integrated and the parameter index corresponding to each parameter to be integrated, a data information form for any preset business is obtained, including: Acquire the preset business-oriented to-be-filled form template, and identify the to-be-filled spaces contained in the to-be-filled form template and space guidance information corresponding to each to-be-filled space, wherein the space guidance information includes space characteristics and space formats; Based on the vacancy guidance information corresponding to each vacancy to be filled, a target parameter to be integrated corresponding to each vacancy to be filled is determined from all parameters to be integrated, and based on the vacancy format of each vacancy to be filled, a data format conversion is performed on the target parameter to be integrated for each vacancy to be filled, so as to obtain a final parameter to be integrated corresponding to each vacancy to be filled; Add each final parameter to be integrated to the corresponding empty space to be filled to obtain an initial data information form; Bind each final parameter to be integrated with the parameter index corresponding to each final parameter to be integrated to obtain a parameter binding relationship; The preset business-oriented data information form is obtained based on the initial information form and the parameter binding relationship.

5. A method for processing business data based on dynamic environment monitoring according to claim 4, characterized in that: Also includes: Determine the parameter validity of each final parameter to be integrated based on the upload frequency of each business module and the parameter index of each final parameter to be integrated in the data information form; Based on the parameter validity of each final parameter to be integrated, the display time of each final parameter to be integrated in the data information form is limited.

6. A method for processing business data based on dynamic environment monitoring according to claim 1, characterized in that: Also includes: When a broadcast instruction is detected, identifying the broadcast instruction and determining a broadcast level corresponding to the broadcast instruction; An available broadcast communication channel is determined based on the broadcast level, and broadcasting is performed based on the available broadcast communication channel and the broadcast instruction.

7. A processing system, characterized in that: The processing system includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a business data processing method based on dynamic environment monitoring as described in any one of claims 1-6.

8. A computer-readable storage medium, characterized in that: include: A computer program is stored which can be loaded by a processor and executes a method for processing business data based on dynamic environment monitoring as described in any one of claims 1 to 6.

9. A computer program product, characterized in that It includes a computer program, which, when executed by a processor, implements the steps of a business data processing method based on dynamic environment monitoring according to any one of claims 1 to 6.

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