Automatic information collection method, system and related device

Abstract

The invention discloses an automatic information collection method and system and a related device, which are used for improving the information collection efficiency. The method comprises the steps that a first script is started, and collection of information texts is triggered through the first script; checking whether the collected information text has character errors or not; if yes, correcting the character error, and storing the corrected information text to a target document; and starting a second script, reading the target document through the second script, and generating a target statistical result according to the target document.

Description

Technical Field

[0001] The present application relates to the field of information management, and in particular to a method, system and related devices for automated information collection. Background Art

[0002] With the acceleration of enterprise digital transformation, information collection has become an indispensable part of daily office work. Company members are often required to regularly submit work reports, attendance records, project progress, and other information, which they then organize and send to the company group to ensure timely updates for all members. In scenarios where company members periodically submit and compile information, information collection offers efficiency, convenience, and traceability, significantly improving operational efficiency and data management capabilities. It serves as a crucial foundation for digital management and optimized process decision-making.

[0003] In existing technology, companies typically complete the entire information collection process manually. First, company staff manually send information collection forms to the company group, prompting members to fill them out. After members complete the form, staff manually organize the results and generate statistical content in a specified format. Finally, the statistical content is sent to all members of the company group.

[0004] However, because the entire information collection process is manually managed, when a company has a large number of members and the frequency of information collection is high, company staff must repeatedly and manually perform operations such as reminders, collection, organization, and notifications. This not only leads to low information collection efficiency but also increases the error rate of information collection results, thus affecting the overall efficiency of corporate office work and the accuracy and timeliness of information. Summary of the Invention

[0005] In order to solve the above technical problems, the present application provides a method, system and related devices for automated information collection.

[0006] The technical solution provided in this application is described below:

[0007] A first aspect of the present application provides a method for automated information collection, the method comprising:

[0008] Starting a first script to trigger the collection of information text;

[0009] Checking the collected information text for textual errors;

[0010] If so, correct the text error and save the corrected information text to the target document;

[0011] A second script is started, the target document is read by the second script, and a target statistical result is generated according to the target document.

[0012] Optionally, saving the corrected information text to a target document includes:

[0013] Calling a structure adjustment interface of a target document through a cloud function, wherein the structure adjustment interface is used to insert a row or column into the document;

[0014] The corrected information text is stored in the target document according to the structure adjustment interface.

[0015] Optionally, before storing the corrected information text into the target document according to the structure adjustment interface, the method further includes:

[0016] Authenticating the cloud function;

[0017] The step of storing the corrected information text into the target document according to the structure adjustment interface includes:

[0018] If the authentication of the cloud function is passed, the corrected information text is stored in the target document according to the structure adjustment interface.

[0019] Optionally, reading the target document by the second script and generating target statistical results according to the target document includes:

[0020] Calling a cloud function through the second script to obtain a table information interface of the target document, and reading the target document according to the table information interface;

[0021] The target documents are screened according to the corresponding time period, and target statistical results are generated after screening.

[0022] Optionally, after reading the target document by the second script and generating target statistical results according to the target document, the method further includes:

[0023] Generating notification results based on the target statistical results in a target format;

[0024] The sending of the notification result is triggered by the second script.

[0025] Optionally, the correcting the text error includes:

[0026] Correct the text errors using an intelligent text tool and generate a preview text after correction;

[0027] Correct the text errors in the information text according to the preview text.

[0028] Optionally, after triggering the collection of information text by the first script and before checking whether the collected information text has any text errors, the method further includes:

[0029] Checking whether the collected information text contains any formatting errors;

[0030] If so, an error message is returned to prompt the user to make changes.

[0031] A second aspect of the present application provides a system for automated information collection, the system comprising:

[0032] A collecting unit, configured to start a first script and trigger the collection of information text through the first script;

[0033] A first checking unit is used to check whether the collected information text contains any text errors;

[0034] a saving unit, configured to correct the text error if yes, and save the corrected information text to a target document;

[0035] The first generating unit is configured to start a second script, read the target document through the second script, and generate a target statistical result according to the target document.

[0036] Optionally, the storage unit is specifically used to:

[0037] Calling a structure adjustment interface of a target document through a cloud function, wherein the structure adjustment interface is used to insert a row or column into the document;

[0038] The corrected information text is stored in the target document according to the structure adjustment interface.

[0039] Optionally, an authentication unit is also included, specifically for:

[0040] Authenticating the cloud function;

[0041] The step of storing the corrected information text into the target document according to the structure adjustment interface includes:

[0042] If the authentication of the cloud function is passed, the corrected information text is stored in the target document according to the structure adjustment interface.

[0043] Optionally, the first generating unit is specifically configured to:

[0044] Calling a cloud function through the second script to obtain a table information interface of the target document, and reading the target document according to the table information interface;

[0045] The target documents are screened according to the corresponding time period, and target statistical results are generated after screening.

[0046] Optionally, a second generating unit is further included, specifically configured to:

[0047] Generating notification results based on the target statistical results in a target format;

[0048] The sending of the notification result is triggered by the second script.

[0049] Optionally, the storage unit is specifically used to:

[0050] Correct the text errors using an intelligent text tool and generate a preview text after correction;

[0051] Correct the text errors in the information text according to the preview text.

[0052] Optionally, the second checking unit is specifically configured to:

[0053] Checking whether the collected information text contains any formatting errors;

[0054] If so, an error message is returned to prompt the user to make changes.

[0055] A third aspect of the present application provides a device for automated information collection, the device comprising:

[0056] processor, memory, input and output units, and buses;

[0057] The processor is connected to the memory, the input and output unit, and the bus;

[0058] The memory stores a program, and the processor calls the program to execute any one of the methods.

[0059] In a fourth aspect, the present application provides a computer-readable storage medium, on which a program is stored. When the program is executed on a computer, the program executes the first aspect and any optional method in the first aspect.

[0060] It can be seen from the above technical solutions that this application has the following advantages:

[0061] This application combines the first script and the second script to complete automated information collection and processing, effectively solving the problems of low efficiency and high error rate caused by manual information collection. First, it is necessary to trigger the collection of information text through the first script, realize the automation of information collection, and improve the efficiency of information collection. After the collection is completed, the information text is intelligently checked and corrected, and the corrected information text is saved to the target document, which can reduce the error rate and improve the accuracy of the information. Finally, the second script automatically reads the target document and generates statistical results. The entire process realizes the automation of the entire process from information collection to statistics, improving the overall efficiency of corporate office and the accuracy and timeliness of information. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the technical solutions in this application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0063] Figure 1 A flowchart of an embodiment of the method for automated information collection provided by this application;

[0064] Figure 2 A flowchart of an embodiment of a process for saving corrected information text to a target document in the automated information collection provided by the present application;

[0065] Figure 3 A flowchart of an embodiment of the process of generating target statistical results in the automated information collection provided by this application;

[0066] Figure 4 A flowchart of another embodiment of the method for automated information collection provided by the present application;

[0067] Figure 5 A schematic diagram of the structure of an embodiment of the system for automated information collection provided by this application;

[0068] Figure 6 This is a schematic diagram of the structure of an embodiment of the device for automated information collection provided in this application. DETAILED DESCRIPTION

[0069] The present application provides an automated information collection method that can improve the efficiency of information collection. It should be noted that the automated information collection method of the present application is applied to a terminal.

[0070] It should be noted that the automated information collection method, apparatus, and related devices provided in this application can be applied to terminals, systems, and servers. For example, the terminal can be a smartphone, computer, tablet computer, smart TV, smartwatch, portable computer terminal, or a fixed terminal such as a desktop computer. For ease of explanation, this application uses a terminal as the execution subject for example.

[0071] See also Figure 1 The present application first provides an embodiment of a method for automatic information collection, which includes:

[0072] S101, starting a first script, triggering the collection of information text through the first script;

[0073] In this embodiment, a process management tool is first used to register a first script and a second script. The first script is used to collect information texts, and the second script is used to count information texts.

[0074] The process management tool (PM2) is a backend service and operation and maintenance tool designed for Node.js applications. Through functions such as daemon processes, cluster mode expansion, real-time monitoring, log management, hot reloading, and zero-downtime deployment, it simplifies application lifecycle management and ensures high availability and easy maintainability of the production environment.

[0075] When a scheduled task begins, the process management tool prioritizes triggering the first script. After triggering the first script, it calls the Send Information API to send an information collection form, prompting the user to fill in the relevant information. This automates information collection and significantly reduces the need for manual operations. In addition to triggering the first script through a scheduled task, users or administrators can also proactively trigger the first script, which is not limited here.

[0076] It should be noted that while automating the information collection, the first script will monitor the information during the filling process, automatically extract the information text submitted by the members, and temporarily store the information text in a temporary storage area.

[0077] S102, checking whether the collected information text has any textual errors;

[0078] In this embodiment, the collected information text is checked using target verification rules to check for spelling errors or grammatical errors. This can quickly identify and mark text errors in the information text, not only reducing the workload of manual operations, but also reducing the error rate caused by manual inspection.

[0079] When it is determined that the collected information text contains any textual errors, step S103 is executed; when it is determined that the collected information text does not contain any textual errors, step S104 is executed.

[0080] S103, correcting text errors and saving the corrected information text to the target document;

[0081] When it is determined that there are text errors in the collected information text, the text errors are automatically corrected, which can quickly identify and correct errors in the text, further reducing manual workload and error rate.

[0082] After the correction is complete, the corrected information text is saved in the target document. The target document will serve as a data storage container, enabling centralized management and efficient access to all completed results, ensuring data integrity and consistency.

[0083] S104: Start the second script, read the target document through the second script, and generate target statistical results according to the target document.

[0084] For example, when a scheduled task is triggered, the process management tool triggers a second script, which reads the information text in the target document. After reading the text, the second script analyzes and processes it according to pre-set statistical rules to generate the target statistical results. By initiating the second script to read the target document and generate the target statistical results, the information statistics process is automated, further improving the efficiency and quality of information collection.

[0085] This embodiment combines the first script and the second script to complete automated information collection and processing, effectively solving the problems of low efficiency and high error rate caused by manual information collection. First, the collection of information text needs to be triggered by the first script, which realizes the automation of information collection and improves the efficiency of information collection. After the collection is completed, the information text is intelligently checked and corrected, and the corrected information text is saved to the target document, which can reduce the error rate and improve the accuracy of the information. Finally, the target document is automatically read and statistical results are generated by the second script. The entire process realizes the automation of the entire process from information collection to statistics, improving the overall efficiency of corporate office and the accuracy and timeliness of information.

[0086] In the above step S103, in the process of saving the corrected information text to the target document, it is necessary to determine the structure adjustment interface of the target document, and then save the corrected information text to the target document according to the structure adjustment interface of the target document. Figure 2 , Figure 2 An embodiment of the method for automatic information collection provided by the present application for saving the corrected information text to a target document includes:

[0087] S201. Calling a structure adjustment interface of a target document through a cloud function, where the structure adjustment interface is used to insert rows or columns into the document;

[0088] To save the information text to the target document, the cloud function first calls the target document's structure adjustment interface. After receiving the call request, the structure adjustment interface opens the structure adjustment interface to the cloud function. The cloud function then accesses the target document through the open structure adjustment interface and dynamically adjusts the target document's structure, improving the flexibility and efficiency of data storage.

[0089] Specifically, the structure adjustment interface is used to insert rows or columns into a document. For example, if the target document lacks enough rows or columns to store new information text, new rows or columns will be automatically inserted to ensure that the data can be stored completely.

[0090] S202: storing the corrected information text into the target document according to the structure adjustment interface.

[0091] In this embodiment, when the structural adjustment interface is called and the structural adjustment of the target document is completed, the cloud function stores the corrected information text to the specified location of the target document through the structural adjustment interface. For example, when a data containing 10 employee attendance records needs to be stored in the target document, each record will be automatically stored in rows, and the corresponding data will be filled in for each column. After the filling is completed, a title will be automatically added to each column ("Employee Name", "Attendance Date", "Attendance Status", etc.), and finally the target document will be automatically saved.

[0092] In some specific embodiments, the cloud function is authenticated before the information text is stored in the target document, as described below:

[0093] When a cloud function needs to be called to perform document structure adjustment or data storage operations, the cloud function will be authenticated, which can improve the security and reliability of data storage. The authentication process is based on identity authentication and permission management technology to ensure that only authorized users or systems can call cloud functions. For example, the caller (i.e., cloud function) is authenticated through the OAuth 2.0 protocol, and the caller is checked to see if it has permission to perform the target operation. In this way, unauthorized callers can be effectively prevented from calling the structure adjustment interface, avoiding the risk of data leakage or malicious operations. When the caller's identity can be successfully verified and it is confirmed that the caller has permission to perform the target operation, it means that the authentication is successful; when the caller's identity cannot be verified or it is confirmed that the caller has insufficient permissions, it means that the authentication fails.

[0094] If the cloud function's authentication passes, the corrected information text will be stored in the target document according to the structure adjustment interface; if the cloud function's authentication fails, the corrected information text cannot be stored in the target document.

[0095] In the above step S104, in the process of generating target statistical results according to the target document, it is necessary to obtain the table information interface of the target document, and then read the target document through the table information interface. Figure 3 , Figure 3 An embodiment of generating target statistical results in the method for automated information collection provided by the present application includes:

[0096] S301: Call a cloud function through a second script to obtain a table information interface of a target document, and read the target document according to the table information interface;

[0097] In this embodiment, when the scheduled task is completed, the second script will be triggered by the process management tool. After the second script is started, the cloud function is called to obtain the table information interface of the target document. Through the table information interface, the cloud function can read the table structure, field name, data type and specific data content in the target document. For example, if a scheduled filling task is published in the enterprise group, all filled data will be stored in the table at the end of the scheduled filling task. When the table needs to be read, the process management tool will trigger the second script to call the cloud function to read the table information in the table, including fields such as "employee name", "attendance date", "attendance status" and their corresponding data.

[0098] S302: Filter the target documents according to the corresponding time period, and generate target statistical results after filtering.

[0099] In this embodiment, after successfully reading the data of the target document, the corresponding time period is determined based on the demand, and the data is filtered according to the corresponding time period. The data that meets the conditions is filtered out and the target statistical results are generated. For example, if the target document stores employee attendance records for 2024, and the current demand is for attendance data for September 2024, the data for September 2024 can be filtered out based on the "Attendance Date" field, and the corresponding information such as the number of attendance days and number of lateness for each employee can be generated. Finally, the statistical results are generated based on this information. In this way, a large amount of data can be quickly filtered and statistical results can be generated, which improves the efficiency and practicality of data processing.

[0100] To automatically generate the target statistical results, this embodiment first triggers a second script at the end of the scheduled task, automating the reading of the target document and significantly improving the efficiency and accuracy of subsequent data processing. Subsequently, the target data is filtered by time period to generate the target statistical results. This allows for the rapid extraction of qualified data, avoiding the tedious and inefficient manual data screening process. This not only reduces the manual workload but also reduces data screening errors caused by human oversight.

[0101] See also Figure 4 , the present application provides another embodiment of a method for automated information collection, the embodiment comprising:

[0102] S401, starting a first script, triggering the collection of information text through the first script;

[0103] In this embodiment, step S401 is similar to step S101 in the aforementioned embodiment and will not be described again here.

[0104] S402: Check whether the collected information text has format errors;

[0105] After collecting the message text, it is automatically checked for formatting errors. First, formatting rules are determined based on user requirements. These rules include the field type, length, and format of the message text. Then, the message text is automatically checked based on the formatting rules, for example, to check whether dates are in the "YYYY-MM-DD" format, whether numbers are integers or decimals, and whether the text length is within the allowed range.

[0106] If the fields, length, or format of the message text do not match those in the format rules, the message text is determined to have a format error. If the fields, length, or format of the message text match those in the format rules, the message text is determined to have no format error. This allows for quick and accurate identification of format errors in message text, effectively reducing the format error rate and ensuring the integrity and reliability of the message text.

[0107] Further, if it is determined that the information text has a format error, step 403 is executed; if it is determined that the information text does not have a format error, step 404 is executed.

[0108] S403: Return an error prompt to prompt the user to make modifications.

[0109] When a formatting error is detected in the information text, an error prompt containing the error type, error location, and correction suggestions is generated based on the check results. This prompt is then sent to the user, who can then correct the formatting error according to the prompt. For example, if the date format in the current information text is "DD / MM / YYYY" and the date format in the format rule is "YYYY-MM-DD", and the error prompt returned indicates that the date format is incorrect, the user will then follow the error prompt to change the date format in the current information text from "DD / MM / YYYY" to the date format in the format rule, i.e., convert the date format from "DD / MM / YYYY" to "YYYY-MM-DD". Correcting formatting errors through guided error prompts reduces the repeated submission and communication costs caused by formatting errors, and improves the efficiency and quality of information processing.

[0110] S404: Check whether the collected information text contains any text errors;

[0111] In this embodiment, step S404 is similar to step S102 in the foregoing embodiment, and will not be elaborated here.

[0112] S405. Use an intelligent text tool to correct text errors, and generate a preview text after correction;

[0113] When it is determined that there are text errors in the information text, use an intelligent text tool to automatically correct the text errors and generate a preview text, which can not only quickly repair the text errors in the information text, but also improve the efficiency of information processing. Specifically, the intelligent text tool usually based on natural language processing technology can intelligently correct text errors according to the context semantics to ensure that the corrected information text conforms to language norms and business requirements.

[0114] First, the intelligent text tool analyzes the text errors. The text errors include spelling mistakes, grammar mistakes or semantic mistakes. Then, according to the analysis results, correct the spelling mistakes, grammar mistakes or semantic mistakes. For example, when detecting the text error "return meeting", the intelligent text tool will perform error correction analysis according to the semantics before and after "return meeting", and after analysis, correct "return meeting" to "return". Finally, generate a preview text with the corrected content to complete the error correction.

[0115] S406. Correct the text errors in the information text according to the preview text.

[0116] After completing the error correction and generating the preview text, the preview text will be sent to the user for the user to feedback or confirm the result. If the user confirms that the preview text is correct, then correct the text errors in the information text according to the preview text; if the user still has modification opinions, then further adjust the preview text according to the modification opinions and regenerate the preview text for the user to confirm. Through the confirmation and feedback mechanism of the preview text, it can ensure that the correction result of the information text meets the actual needs of the user, and avoid semantic deviation or expression errors caused by automatic error correction.

[0117] S407. Save the corrected information text to the target document;

[0118] S408. Start the second script, read the target document through the second script, and generate a target statistical result according to the target document;

[0119] In this embodiment, steps S407 to S408 are similar to steps S103 to S104 in the foregoing embodiment, and will not be elaborated here.

[0120] S409. Generate a notification result in the target format according to the target statistical result;

[0121] After generating the target statistical results, the template engine for the target format is called as needed to populate the target statistical results into the target format's notification template, generating the notification results. This eliminates the need for manual data organization and notification content design, significantly reducing manual time and effort. Furthermore, since notification results are generated based on the notification template in the target format, the format and content are more standardized and unified, avoiding formatting errors or content omissions caused by manual organization, and improving the quality and efficiency of notification results.

[0122] S410: triggering the sending of notification results through a second script.

[0123] In this embodiment, after generating the notification result, the second script will call the notification API to send the notification result to the target recipient, such as enterprise group members, department heads or relevant business personnel.

[0124] This embodiment implements the sending of notification results through an automated process, eliminating the need for enterprise staff to manually send emails or messages, significantly reducing manual operation time and improving the efficiency and accuracy of conveying notification results.

[0125] The following is a detailed description of the automated information collection system provided by this application. Figure 5 , Figure 5 An embodiment of the system for automated information collection provided by the present application includes:

[0126] The collecting unit 501 is configured to start a first script and trigger the collection of information texts through the first script;

[0127] The first checking unit 502 is used to check whether the collected information text has any text errors;

[0128] A saving unit 503 is configured to correct the text error and save the corrected information text to a target document.

[0129] The first generating unit 504 is configured to start the second script, read the target document through the second script, and generate a target statistical result according to the target document.

[0130] Optionally, the saving unit 503 is specifically configured to:

[0131] Call the target document's structure adjustment interface through a cloud function. The structure adjustment interface is used to insert rows or columns into the document.

[0132] The corrected information text is stored in the target document according to the structure adjustment interface.

[0133] Optionally, an authentication unit 505 is further included, specifically configured to:

[0134] Authenticate the cloud function;

[0135] Store the corrected information text into the target document according to the structural adjustment interface, including:

[0136] If the cloud function's authentication is successful, the corrected information text will be stored in the target document according to the structure adjustment interface.

[0137] Optionally, the first generating unit 504 is specifically configured to:

[0138] Call the cloud function through the second script to obtain the table information interface of the target document, and read the target document according to the table information interface;

[0139] Filter the target documents according to the corresponding time period and generate the target statistical results after filtering.

[0140] Optionally, the method further includes a second generating unit 506, specifically configured to:

[0141] Generate notification results based on the target statistical results in the target format;

[0142] The sending of notification results is triggered by the second script.

[0143] Optionally, the saving unit 503 is specifically configured to:

[0144] Correct text errors with the smart text tool and generate a preview text after correction;

[0145] Correct the text errors in the message text based on the preview text.

[0146] Optionally, a second checking unit 507 is further included, specifically configured to:

[0147] Check the collected information text for format errors;

[0148] If so, an error message is returned to prompt the user to make changes.

[0149] This application also provides a device for automatic information collection, see Figure 6 , Figure 6 An embodiment of the device for automatic information collection provided by the present application includes:

[0150] Processor 601, memory 602, input and output unit 603, bus 604;

[0151] The processor 601 is connected to the memory 602, the input and output unit 603 and the bus 604;

[0152] The memory 602 stores a program, and the processor 601 calls the program to execute any of the above methods.

[0153] The present application also relates to a computer-readable storage medium on which a program is stored, wherein when the program is run on a computer, the computer is caused to execute any of the above methods.

[0154] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0155] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0156] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0157] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0158] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, read-only memory), random access memory (RAM, random access memory), disk or optical disk, and other media that can store program code.

Claims

1. A method for automated information collection, characterized in that: The method comprises: Starting a first script to trigger the collection of information text; Checking the collected information text for textual errors; If so, correct the text error and save the corrected information text to the target document; A second script is started, the target document is read by the second script, and a target statistical result is generated according to the target document.

2. The method according to claim 1, characterized in that Saving the corrected information text to the target document includes: Calling a structure adjustment interface of a target document through a cloud function, wherein the structure adjustment interface is used to insert a row or column into the document; The corrected information text is stored in the target document according to the structure adjustment interface.

3. The method according to claim 2, characterized in that Before storing the corrected information text into the target document according to the structure adjustment interface, the method further includes: Authenticating the cloud function; The step of storing the corrected information text into the target document according to the structure adjustment interface includes: If the authentication of the cloud function is passed, the corrected information text is stored in the target document according to the structure adjustment interface.

4. The method according to claim 1, wherein The step of reading the target document through the second script and generating target statistical results according to the target document includes: Calling a cloud function through the second script to obtain a table information interface of the target document, and reading the target document according to the table information interface; The target documents are screened according to the corresponding time period, and target statistical results are generated after screening.

5. The method according to claim 1, characterized in that After reading the target document by the second script and generating target statistical results according to the target document, the method further includes: Generating notification results based on the target statistical results in a target format; The sending of the notification result is triggered by the second script.

6. The method according to any one of claims 1 to 5, characterized in that The correction of the text errors includes: Correct the text errors using an intelligent text tool and generate a preview text after correction; Correct the text errors in the information text according to the preview text.

7. The method according to any one of claims 1 to 5, characterized in that After triggering the collection of information text by the first script and before checking whether the collected information text has any text errors, the method further includes: Checking whether the collected information text contains any formatting errors; If so, an error message is returned to prompt the user to make changes.

8. A system for automated information collection, characterized in that: include: A collecting unit, configured to start a first script and trigger the collection of information text through the first script; A first checking unit is used to check whether the collected information text contains any text errors; a saving unit, configured to correct the text error if yes, and save the corrected information text to a target document; The first generating unit is configured to start a second script, read the target document through the second script, and generate a target statistical result according to the target document.

9. An automated information collection device, characterized in that: The device comprises: processor, memory, input and output units, and buses; The processor is connected to the memory, the input and output unit, and the bus; The memory stores a program, and the processor calls the program to execute any one of the above methods.

10. A computer-readable storage medium having a program stored thereon, wherein the program, when executed on a computer, performs the method according to any one of claims 1 to 7.

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