A service information notification method and device, electronic equipment and storage medium

Abstract

The application discloses a service information notification method and device, electronic equipment and a storage medium. The method comprises the following steps: monitoring an information website to obtain early warning data of the information website in real time; preprocessing the early warning data to extract early warning information contained in the early warning data; judging whether the early warning information meets preset conditions; when the early warning information meets the preset conditions, storing the early warning information in a preset database; and feeding back the early warning information stored in the database to a service end according to a preset sending time. The application solves the technical problem of inconvenience in the prior art due to the need for customer service personnel to independently query and judge information.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and more specifically to a business information notification method, apparatus, electronic device, and storage medium. Background Technology

[0002] In daily business operations, customer service staff often need to obtain the local weather conditions when shipping goods. If there is a red alert for weather, they need to communicate with the customer to cancel or extend the logistics to improve customer satisfaction. Currently, customer service staff usually check the weather at the shipping location themselves, which is easy to miss and requires them to make their own judgments, which is inconvenient and increases their workload. Summary of the Invention

[0003] The purpose of this invention is to overcome the above-mentioned technical deficiencies and provide a business information notification method, device, electronic device and storage medium to solve the technical problem of inconvenience caused by the need for customer service personnel to independently query and judge information in the prior art.

[0004] To achieve the above-mentioned technical objectives, the present invention adopts the following technical solution:

[0005] In a first aspect, the present invention provides a business information notification method, comprising the following steps:

[0006] Monitor information websites to obtain real-time early warning data;

[0007] The warning data is preprocessed to extract the warning information contained in the warning data;

[0008] Determine whether the warning information meets preset conditions; if the warning information meets the preset conditions, store the warning information in a preset database.

[0009] According to the preset sending time, the early warning information stored in the database is fed back to the business terminal.

[0010] In some embodiments, the method of monitoring the information website is as follows:

[0011] The information website is monitored using a pre-defined Selenium module.

[0012] In some embodiments, the warning information is weather warning information, which includes at least the address, time, warning color, and warning type.

[0013] In some embodiments, preprocessing the warning data to extract the warning information contained in the warning data includes:

[0014] Keyword extraction is performed on the warning data to extract sentences containing the warning information;

[0015] The statement is segmented to obtain the address, time, warning color, and warning type contained in the statement.

[0016] In some embodiments, determining whether the warning information meets preset conditions, and storing the warning information in a preset database when the warning information meets the preset conditions, includes:

[0017] Determine whether the warning color in the warning information is red. If it is, store the warning information in a preset database; otherwise, discard the warning information.

[0018] In some embodiments, the preset sending time is one hour.

[0019] In some embodiments, the feedback to the business terminal is provided via one or more of SMS, email, and news feed.

[0020] Secondly, the present invention also provides a business information notification device, comprising:

[0021] The monitoring module is used to monitor the information website in order to obtain the website's early warning data in real time.

[0022] The processing module is used to preprocess the warning data to extract the warning information contained in the warning data;

[0023] A filtering module is used to determine whether the warning information meets preset conditions, and when the warning information meets the preset conditions, the warning information is stored in a preset database;

[0024] The sending module is used to send the early warning information stored in the database back to the business terminal according to the preset sending time.

[0025] Thirdly, the present invention also provides an electronic device, comprising: a processor and a memory;

[0026] The memory stores a computer-readable program that can be executed by the processor;

[0027] When the processor executes the computer-readable program, it implements the steps in the business information notification method described above.

[0028] Fourthly, the present invention also provides a computer-readable storage medium storing one or more programs that can be executed by one or more processors to implement the steps in the business information notification method described above.

[0029] Compared with existing technologies, the business information notification method, apparatus, electronic device, and storage medium provided by this invention first monitors information websites to obtain real-time weather warning data; then, it preprocesses the warning data to extract the warning information contained therein; next, it determines whether the warning information meets preset conditions, and if so, stores the warning information in a preset database; finally, according to a preset sending time, it feeds back the warning information stored in the database to the business terminal. This invention automatically monitors the warning data of information websites, processes the data, filters out warning information that meets the conditions, and finally feeds back the warning information to customer service, thus eliminating the need for customer service personnel to manually query and judge information, reducing their workload and providing convenience. Attached Figure Description

[0030] Figure 1 This is a flowchart of an embodiment of the business information notification method provided by the present invention;

[0031] Figure 2 This is a flowchart of step S200 in the business information notification method provided by the present invention;

[0032] Figure 3 This is a schematic diagram of an embodiment of the business information notification device provided by the present invention;

[0033] Figure 4 This is a schematic diagram of the operating environment of an embodiment of the business information notification program of the present invention. Detailed Implementation

[0034] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0035] Please see Figure 1 The present invention provides a business information notification method, including steps S100 to S400.

[0036] S100. Monitor information websites to obtain real-time early warning data.

[0037] In this embodiment, to quickly obtain weather warning data from information websites in real time, the warning data can be rapidly acquired by monitoring these websites, eliminating the need for manual queries and simplifying the process. The information websites can be one or more, and their type is not limited as long as they are related to the business operations of the client. For example, a weather forecast website could be the website of the China Meteorological Administration, etc. This invention does not impose any limitations on this. The warning data can be articles containing warning information.

[0038] S200: Preprocess the warning data to extract the warning information contained in the warning data.

[0039] In this embodiment, taking weather warning data and weather warning information as examples, after crawling weather warning data from weather forecast websites, the weather warning information can be extracted from the weather warning data to facilitate the judgment and filtering of weather warning information that meets the conditions. The preprocessing process includes keyword extraction, splitting, and data merging of the weather warning data, thereby obtaining accurate information.

[0040] S300. Determine whether the warning information meets the preset conditions. If the warning information meets the preset conditions, store the warning information in a preset database.

[0041] In this embodiment, taking weather warning data and weather warning information as examples, if the weather conditions are relatively good, it means that delivery can proceed without being affected. Therefore, the weather warning information can be ignored. If the weather conditions are severe, customer service personnel need to be reminded to take appropriate actions, and thus, the corresponding warning information needs to be sent to them. Therefore, to eliminate the need for customer service personnel to make independent judgments and reduce their workload, this invention filters weather warning information. Only weather warning information that meets the criteria is stored in the database, while other weather warning information is directly ignored.

[0042] S400. According to the preset sending time, the early warning information stored in the database is fed back to the service terminal.

[0043] In this embodiment, taking weather warning data and weather warning information as examples, the stored weather warning information is sent in batches every preset sending time, enabling customer service personnel to obtain weather information in real time. This embodiment streamlines the entire information monitoring process, directly meeting the data needs of business parties without adding intermediate processes. Furthermore, the process is universal and can be used directly in any situation requiring information acquisition, significantly reducing communication costs.

[0044] This invention first monitors information websites to obtain real-time warning data. Then, it preprocesses the warning data to extract the warning information contained within it. Next, it determines whether the warning information meets preset conditions. If the warning information meets the preset conditions, it is stored in a preset database. Finally, according to a preset sending time, the warning information stored in the database is fed back to the business terminal. This invention automatically monitors warning data from information websites, processes the data, filters out warning information that meets the conditions, and then feeds the warning information back to customer service. This eliminates the need for customer service personnel to manually query and judge information, reducing their workload and providing convenience.

[0045] In some embodiments, the method of monitoring the information website is as follows:

[0046] The information website is monitored using a pre-defined Selenium module.

[0047] In this embodiment, the Selenium module was originally used as an automation tool for testing. However, web crawlers primarily use it to address the issue of the requests module's inability to execute JavaScript. The essence of Selenium is to drive a browser, simulating browser operations such as navigation, clicking, scrolling, and inputting data to obtain the rendered webpage results, and it supports multiple browsers. In other words, this embodiment of the invention uses the Selenium module to monitor information websites, simulating human querying actions on the website, thereby eliminating the need for manual queries, streamlining processes, and improving work efficiency.

[0048] In some embodiments, the warning information is weather warning information, which includes at least the address, time, warning color, and warning type.

[0049] In this embodiment, the address information is the address where the forecast weather is located, such as XX province XX city, the time information is the time when the forecast weather occurs, such as XX year XX month XX day XX hour, the warning color indicates the severity of the weather, such as red indicating extremely severe weather, green indicating good weather, etc., and the warning type indicates the severity of the weather, such as extremely severe, moderate, good, etc.

[0050] In some embodiments, please refer to Figure 2 Step S200 specifically includes:

[0051] S210. Extract keywords from the warning data to extract sentences containing the warning information;

[0052] S220. Perform word segmentation on the statement to obtain the address, time, warning color, and warning type contained in the statement.

[0053] In this embodiment, keywords are first extracted from weather warning articles. There are several specific implementation methods, such as keyword extraction based on statistical features (TF, TF-IDF), keyword extraction based on word graph models (PageRank, TextRank), or keyword extraction based on topic models (LDA). The idea behind the statistical feature-based keyword extraction algorithm is to extract keywords from the document using statistical information about the words in the document. The word graph-based keyword extraction first constructs a language network graph of the document, then performs network graph analysis to find words or phrases that play an important role in this graph; these phrases are the document's keywords. The topic-based keyword extraction algorithm mainly utilizes the properties of topic distribution in topic models for keyword extraction. After extracting the key sentences, they are segmented. Segmentation involves using various matching methods to segment the keyword string, specifically separating the address, time, warning color, and warning type of the key sentences to facilitate subsequent judgment. When processing addresses, the address can be split and extracted down to the city level; information at the same city level is merged.

[0054] In some embodiments, step S300 specifically includes:

[0055] Determine whether the warning color in the warning information is red. If it is, store the warning information in a preset database; otherwise, discard the warning information.

[0056] In some embodiments, in step S400, the preset sending time is one hour.

[0057] In this embodiment, warning information that meets the set conditions will be temporarily stored in the database, and every hour, the database will automatically send the stored warning information in batches to customer service personnel, so that customer service personnel can obtain the warning information in real time, facilitate communication with customers, and improve customer satisfaction.

[0058] In some embodiments, the feedback to the business terminal is provided via one or more of SMS, email, and news feed.

[0059] In this embodiment, notifications can be sent in batches to the customer service team's email address via email, or sent to the customer service team via mass SMS, or the warning information (such as weather warning information) can be fed back to the customer service team via information flow (such as WeChat, notifications, etc.). The entire process requires no operation from the customer service team; they only need to check the corresponding warning information, which is simple, convenient, and saves on workflow.

[0060] The technical solution provided by this invention first monitors information websites to obtain their real-time warning data. Then, it preprocesses the warning data to extract the warning information contained within it. Next, it determines whether the warning information meets preset conditions. If the warning information meets the preset conditions, it is stored in a preset database. Finally, according to a preset sending time, the warning information stored in the database is fed back to customer service personnel. This invention automatically monitors the warning data of information websites, processes the data, filters out warning information that meets the conditions, and then feeds the warning information back to customer service. This eliminates the need for customer service personnel to manually query and judge information, reducing their workload and providing convenience.

[0061] Based on the above-described business information notification method, this embodiment of the invention also provides a business information notification device 500. Please refer to [link to relevant documentation]. Figure 3 The business information notification device 500 includes a monitoring module 510, a processing module 520, a filtering module 530, and a sending module 540.

[0062] The monitoring module 510 is used to monitor the information website in order to obtain the early warning data of the information website in real time.

[0063] The processing module 520 is used to preprocess the warning data to extract the warning information contained in the warning data.

[0064] The filtering module 530 is used to determine whether the warning information meets the preset conditions. When the warning information meets the preset conditions, the warning information is stored in the preset database.

[0065] The sending module 540 is used to send the early warning information stored in the database back to the service terminal according to the preset sending time.

[0066] In this embodiment, the information website is first monitored to obtain real-time weather warning data. Then, the warning data is preprocessed to extract the warning information contained within it. Next, it is determined whether the warning information meets preset conditions. If the warning information meets the preset conditions, it is stored in a preset database. Finally, according to a preset sending time, the warning information stored in the database is fed back to the business terminal. This invention automatically monitors the warning data of the information website, processes the data, filters out warning information that meets the conditions, and finally feeds the warning information back to customer service. This eliminates the need for customer service personnel to manually query and judge information, reducing their workload and providing convenience.

[0067] It should be noted that the module referred to in this invention refers to a series of computer program instruction segments that can perform specific functions. It is more suitable than a program for describing the execution process of business information notification. For the specific implementation of each module, please refer to the corresponding method embodiments above, which will not be repeated here.

[0068] In some embodiments, the method of monitoring the information website is as follows:

[0069] The information website is monitored using a pre-defined Selenium module.

[0070] In some embodiments, the warning information is weather warning information, which includes at least the address, time, warning color, and warning type.

[0071] In some embodiments, the processing module 520 is specifically used for:

[0072] Keyword extraction is performed on the warning data to extract sentences containing the warning information;

[0073] The statement is segmented to obtain the address, time, warning color, and warning type contained in the statement.

[0074] In some embodiments, the filtering module 530 is specifically used for:

[0075] Determine whether the warning color in the warning information is red. If it is, store the warning information in a preset database; otherwise, discard the warning information.

[0076] In some embodiments, the preset sending time is one hour.

[0077] In some embodiments, the feedback to the business terminal is provided via one or more of SMS, email, and news feed.

[0078] like Figure 4As shown, based on the above-described business information notification method, the present invention also provides an electronic device, which can be a mobile terminal, desktop computer, laptop, handheld computer, server, or other computing device. The electronic device includes a processor 10, a memory 20, and a display 30. Figure 4 Only some components of the electronic device are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.

[0079] In some embodiments, memory 20 may be an internal storage unit of the electronic device, such as a hard disk or memory. In other embodiments, memory 20 may be an external storage device of the electronic device, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. Furthermore, memory 20 may include both internal and external storage units. Memory 20 is used to store application software and various types of data installed on the electronic device, such as program code installed on the electronic device. Memory 20 may also be used to temporarily store data that has been output or will be output. In one embodiment, memory 20 stores a business information notification program 40, which can be executed by processor 10 to implement the business information notification method of various embodiments of the present invention.

[0080] In some embodiments, processor 10 may be a central processing unit (CPU), microprocessor or other data processing chip, used to run program code stored in memory 20 or process data, such as executing business information notification methods.

[0081] In some embodiments, display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. Display 30 is used to display information from the business information notification device and to display a visual user interface. Components 10-30 of the electronic device communicate with each other via a system bus.

[0082] In some embodiments, when the processor 10 executes the service information notification program 40 in the memory 20, the service information notification method as described in the above embodiments is implemented.

[0083] In summary, the business information notification method, apparatus, electronic device, and storage medium provided by this invention first monitor an information website to obtain its real-time warning data; then, the warning data is preprocessed to extract the warning information contained therein; next, it is determined whether the warning information meets preset conditions, and if so, it is stored in a preset database; finally, the warning information stored in the database is fed back to the business terminal according to a preset sending time. This invention automatically monitors the warning data of the information website, processes it, filters out warning information that meets the conditions, and then feeds the warning information back to customer service, thus eliminating the need for customer service personnel to manually query and judge information, reducing their workload and providing convenience.

[0084] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.). The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The storage medium can be a memory, magnetic disk, optical disk, etc.

[0085] The specific embodiments of the present invention described above do not constitute a limitation on the scope of protection of the present invention. Any other corresponding changes and modifications made in accordance with the technical concept of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method for notifying business information, characterized in that, Includes the following steps: Monitor information websites to obtain real-time early warning data; The warning data is preprocessed to extract the warning information contained in the warning data; Determine whether the warning information meets preset conditions; if the warning information meets the preset conditions, store the warning information in a preset database. At preset intervals, the warning information stored in the database is fed back to the service terminal in real time. The method for monitoring information websites is as follows: The information website is monitored using a pre-defined Selenium module; The warning information is weather warning information, which includes at least the address, time, warning color, and warning type. The step of determining whether the warning information meets preset conditions, and storing the warning information in a preset database when the warning information meets the preset conditions, includes: Determine whether the warning color in the warning information is red. If it is, store the warning information in a preset database; otherwise, discard the warning information.

2. The business information notification method according to claim 1, characterized in that, The preprocessing of the warning data to extract the warning information contained therein includes: Keyword extraction is performed on the warning data to extract sentences containing the warning information; The statement is segmented to obtain the address, time, warning color, and warning type contained in the statement.

3. The business information notification method according to claim 1, characterized in that, The preset sending time is one hour.

4. The business information notification method according to claim 1, characterized in that, The feedback to the business end can be sent via SMS, email, or news feed, or one or more of these methods.

5. A business information notification device, characterized in that, include: The monitoring module is used to monitor the information website in order to obtain the website's early warning data in real time. The processing module is used to preprocess the warning data to extract the warning information contained in the warning data; A filtering module is used to determine whether the warning information meets preset conditions, and when the warning information meets the preset conditions, the warning information is stored in a preset database; The sending module is used to send back the early warning information stored in the database to the business terminal in real time at preset intervals; The method for monitoring information websites is as follows: The information website is monitored using a pre-defined Selenium module; The warning information is weather warning information, which includes at least the address, time, warning color, and warning type. The filtering module is specifically used for: Determine whether the warning color in the warning information is red. If it is, store the warning information in a preset database; otherwise, discard the warning information.

6. An electronic device, characterized in that, include: Processor and memory; The memory stores computer programs that can be executed by the processor; When the processor executes the computer program, it implements the steps in the business information notification method as described in any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores one or more programs, which can be executed by one or more processors to implement the steps in the business information notification method as described in any one of claims 1-4.

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