Big data-based prison to-do work management method and system

Abstract

The invention discloses a prison to-do work management method and system based on big data, relates to the technical field of information, and solves the problems that in the prior art, when prison work is processed, due to the fact that the prison work belongs to a plurality of posts and usually needs to be processed on a plurality of platforms, closed-loop management is not formed in the processing process of the prison work, and the processing efficiency of the prison work is affected. The risk problem of work task lagging and omission exists; the method comprises the steps of setting configuration requirements for work tasks according to actual needs of to-be-done work; a prison data center is constructed, and a temporary list of work to be done is formed through data comparison and analysis of the prison data center according to configuration requirements; matching corresponding management information according to the temporary list of work to be done to form a list of work to be done; the policemen of the corresponding posts perform processing according to the list of the to-be-handled work, and complete and overdue to-be-handled work is closed and a to-be-handled work record is formed through data comparison and analysis of the prison data center; closed-loop management of prison work is realized, and the risk of work task omission is reduced.

Description

Technical Field

[0001] The present invention belongs to the field of information technology and relates to big data processing technology, in particular to a method and system for managing pending tasks in prisons based on big data. Background Art

[0002] Big data technology can be used to automatically classify, organize and analyze pending tasks in prisons, reduce manual operations and errors and increase processing speed; automatically send reminders of pending tasks to relevant personnel to ensure that tasks are completed on time; data analysis can identify bottlenecks and redundant links in management, optimize work processes and improve overall operational efficiency; big data analysis can be used to monitor various data in prisons in real time and promptly identify potential security risks; based on the results of data analysis, more accurate prevention and control measures can be formulated to effectively prevent the occurrence of criminal incidents; when dealing with prison work, existing technologies usually need to be processed on multiple platforms such as manual operation, prison practice, and supervision information systems because prison work belongs to multiple positions. As a result, the reminder, processing, and completion of various prison tasks fail to form a closed-loop management, and there is a risk of delayed work tasks and omissions.

[0003] The present invention provides a method and system for managing pending tasks in prisons based on big data to solve the above technical problems. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a method and system for managing pending tasks in prisons based on big data, which is used to solve the problem that when processing prison work in the prior art, since prison work belongs to multiple positions and usually needs to be processed on multiple platforms, the processing process of prison work has not formed a closed-loop management, and there is a risk of delays and omissions in work tasks.

[0005] To achieve the above-mentioned purpose, the first aspect of the present invention provides a method for managing pending tasks in prisons based on big data, comprising:

[0006] Step S1: Setting configuration requirements for work tasks according to the actual needs of the to-do work; wherein the work tasks include: workflow, to-do rules and scheduled tasks;

[0007] Step S2: construct a prison data center, and form a temporary list of pending tasks through data comparison and analysis of the prison data center according to the configuration requirements; match the corresponding management information according to the temporary list of pending tasks to form a list of pending tasks; wherein the management information includes: responsible posts and responsible police officers;

[0008] Step S3: The police officers at the corresponding posts process the to-do list and store the relevant law enforcement data in the prison data center; through data comparison and analysis in the prison data center, the completed and overdue to-do tasks are closed and a to-do record is formed;

[0009] Step S4: Determine whether the pending work process is completed; if yes, end the pending work; if not, proceed to step S2.

[0010] Preferably, the step of setting configuration requirements for the work tasks according to the actual needs of the to-be-done work includes:

[0011] Set up scheduled task configuration, to-do rule configuration and workflow configuration requirements; build a to-do table according to the configuration requirements; among them, scheduled task configuration includes: task management of the scheduled comparative analysis required for the generation and closure of to-do tasks; to-do rule configuration includes: configuration of to-do types, pre-events and preset time, reminder method, responsible position, processing time and subsequent events; workflow configuration includes configuration of risk assessment, violation management, purchasing management, medical treatment, repair management, work order management workflow nodes and responsible persons for each node.

[0012] It should be noted that the to-do types include: event-triggered and time-triggered. The event-triggered type refers to the to-do tasks caused by a specific event; the time-triggered type refers to the to-do tasks generated by the passage of time to a specific moment.

[0013] By setting clear workflow nodes and rules, the present invention can ensure that all to-do tasks are carried out in accordance with established standards and procedures, thereby reducing human errors; by configuring scheduled tasks and to-do rules, human resources can be reasonably allocated and resource utilization can be optimized; and by constructing a to-do table, the workflow is made more transparent and easy to supervise and manage.

[0014] Preferably, the temporary list of pending tasks is formed by comparing and analyzing the data in the prison data center according to the configuration requirements, including:

[0015] Determine whether a node event occurs; if so, retrieve the configuration requirements of the to-do rules of the prison data center to obtain the responsible positions and deadline information, and generate several to-do tasks; if not, continue to determine; aggregate the generated to-do tasks to form a temporary list of to-do tasks; among them, specific node events include: reaching the preset time, discovering new preceding events through regular comparative analysis of the configuration requirements of the prison data center, and completing to-do workflow nodes.

[0016] It should be noted that the specific time of the timing needs to be set manually based on experience.

[0017] The present invention generates to-do tasks in a timely manner by judging specific node events, which can quickly respond to various situations arising in prison management and improve overall work efficiency; by performing regular comparative analysis of data in the prison data center, more decision-making support information is provided to the management; and by forming a temporary list of to-do tasks, the transparency of the work is increased.

[0018] Preferably, the step of matching the temporary list of to-do tasks with corresponding management information to form a to-do task list includes:

[0019] Retrieve the configuration requirements of pending rules, match the generated pending tasks with corresponding responsible posts; determine whether each post has a clear division of labor according to the work content; if yes, match the responsible police officers for each pending task; if not, match all the police officers for the corresponding posts for each pending task; form a list of pending tasks, and push the list of pending tasks to the police officers at corresponding posts; among them, responsible posts include: leadership posts, disciplinary posts and other posts.

[0020] The present invention ensures that each task has a clear responsible party by matching the pending tasks with the corresponding responsible posts; according to the clarity of the job division, the tasks are reasonably allocated to the responsible police officers or all the police officers on the posts, thus avoiding waste of resources and improving work efficiency; and ensuring that there is a clear division of labor between the posts according to the work content, thus reducing work overlap and task omissions.

[0021] Preferably, the process of closing completed and overdue pending tasks and forming a pending task record through data comparison and analysis by the prison data center includes:

[0022] Step S21: retrieve the to-do list, compare and analyze the to-do list with relevant law enforcement data at regular intervals, and determine whether the to-do list in the to-do list has a law enforcement record for the corresponding to-do item within the deadline; if yes, the corresponding to-do item is closed; if not, the time-triggered to-do items are closed, and the event-triggered to-do items proceed to step S22;

[0023] Step S22: Processing the event-triggered pending tasks as overdue pending tasks;

[0024] Step S23: After the pending tasks and overdue tasks are closed, a pending task record is generated.

[0025] The present invention ensures that all tasks can be responded to and completed in a timely manner within the specified time by closing the pending tasks that are completed within the deadline; marking and processing the tasks beyond the scheduled time helps to clarify the responsibility and promote the responsible police to take timely action; by forming a record of pending tasks, the traceability of the work is increased and the transparency of the entire law enforcement process is improved.

[0026] Preferably, the event-triggered to-do tasks generate a temporary list of overdue to-do tasks and process them, including:

[0027] Step S221: Retrieve the overdue tasks and form a temporary list of overdue tasks;

[0028] Step S222: according to the configuration requirements of the to-do rules, push the temporary list of overdue tasks and remind the relevant police officers at the corresponding posts;

[0029] Step S223: After receiving the reminder of the overdue work, the relevant police officers at the corresponding posts handle the related overdue work and store the related law enforcement data in the prison data center;

[0030] Step S224: Regularly compare and analyze the temporary list of overdue work with relevant law enforcement data to determine whether the overdue work has corresponding law enforcement records; if so, the overdue work is closed; if not, continue to determine.

[0031] The present invention enables police officers to handle overdue tasks in a timely manner after receiving reminders, thereby improving the response speed and processing efficiency of the work; after handling the work, the police officers store the law enforcement data in the prison data center, ensuring real-time updating and synchronization of the data; a work closed loop is formed through regular comparative analysis, ensuring that each pending task can be properly handled and closed.

[0032] Preferably, the step of determining whether the pending workflow is completed includes:

[0033] Retrieve the pending work records and determine whether there are subsequent events based on the pending work records; if yes, the pending workflow is not completed; if no, the pending workflow is completed.

[0034] The present invention can ensure the continuity of work and prevent the overall process from being affected by missing subsequent steps by judging whether the to-do work has subsequent events.

[0035] To achieve the above-mentioned purpose, the second aspect of the present invention provides a prison pending work management system based on big data, comprising:

[0036] Work generation module: sets configuration requirements for work tasks according to the actual needs of the to-do work; work tasks include: workflow, to-do rules and scheduled tasks;

[0037] To-do work management module: build a prison data center, and form a temporary list of to-do work through data comparison and analysis of the prison data center according to configuration requirements; match the corresponding management information according to the temporary list of to-do work to form a to-do work list; the management information includes: responsible positions and responsible police officers;

[0038] Overdue pending work management module: Police officers at corresponding posts process the pending work list and store the relevant law enforcement data in the prison data center; through data comparison and analysis in the prison data center, the completed and overdue pending work is closed and a pending work record is formed;

[0039] To-do work management module: determines whether the to-do work process is completed; if yes, ends the to-do work; if not, enters the to-do work management module.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention configures to-do rules, workflows and scheduled tasks, generates to-do tasks based on prison workflows and data flows, and implements their push, processing and closure, realizes the collection and sharing of various prison data, and realizes the dynamic flow of various work-related data between various positions and systems, forming a closed-loop management of the entire process of automatic generation, automatic push, timely processing and automatic closure of various prison to-do tasks, ensuring that the reminders of prison to-do tasks are accurate and timely without omissions, and realizing real-time online supervision and full-process supervision of various prison tasks, further improving the efficiency and management level of various prison tasks, and avoiding supervision loopholes and safety hazards caused by untimely reminders, processing and closure of work.

[0042] 2. After processing the pending tasks and storing the relevant law enforcement data in the prison data center, the present invention regularly compares and analyzes the current pending tasks with the relevant law enforcement data, automatically closes the completed pending tasks and unfinished time-triggered pending tasks, generates overdue pending tasks for unfinished event-triggered pending tasks, and automatically pushes, processes and automatically closes them, thereby realizing real-time online supervision and full-process supervision of various prison tasks, avoiding management loopholes and safety hazards caused by untimely processing, and further improving the management level of prisons. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a flowchart of the work management method of the present invention;

[0045] Figure 2 A schematic diagram of the to-do task management process of the present invention;

[0046] Figure 3It is a schematic diagram of the management process of overdue work in the present invention;

[0047] Figure 4 It is a schematic diagram of modules included in the work management system of the present invention. DETAILED DESCRIPTION

[0048] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] See also Figure 1 The first aspect of the present invention provides a method for managing pending tasks in prisons based on big data, including:

[0050] Step S1: Setting configuration requirements for work tasks according to the actual needs of the to-do work; wherein the work tasks include: workflow, to-do rules and scheduled tasks;

[0051] Step S2: construct a prison data center, and form a temporary list of pending tasks through data comparison and analysis of the prison data center according to the configuration requirements; match the corresponding management information according to the temporary list of pending tasks to form a list of pending tasks; wherein the management information includes: responsible posts and responsible police officers;

[0052] Step S3: The police officers at the corresponding posts process the to-do list and store the relevant law enforcement data in the prison data center; through data comparison and analysis in the prison data center, the completed and overdue to-do tasks are closed and a to-do record is formed;

[0053] Step S4: Determine whether the pending work process is completed; if yes, end the pending work; if not, proceed to step S2.

[0054] See also Figure 2 , To-do work management process, set up scheduled task configuration, to-do rule configuration and workflow configuration requirements; build to-do tables according to configuration requirements; among them, scheduled task configuration includes: task management for the scheduled comparative analysis required for the generation and closure of to-do work; to-do rule configuration includes: configuration of to-do type, pre-event and preset time, reminder method, responsible position, processing time and subsequent events; workflow configuration is to configure risk assessment, violation management, purchasing management, medical treatment, repair management, work order management workflow nodes and responsible persons for each node;

[0055] Construct a prison data center to determine whether a node event occurs; if yes, retrieve the configuration requirements of the to-do rules of the prison data center to obtain the responsible positions and deadline information, and generate several to-do tasks; if no, continue to determine; gather several generated to-do tasks to form a temporary list of to-do tasks; among them, specific node events include: reaching the preset time, discovering new pre-events through regular comparative analysis of the configuration requirements of the prison data center, and completing to-do workflow nodes; retrieve the configuration requirements of the to-do rules, and match the generated to-do tasks with the corresponding responsible positions; determine whether each position has a clear division of labor according to the work content; if yes, match the responsible police officers for each to-do task, if no, match all the police officers in the corresponding positions for each to-do task; form a to-do list, and push the to-do list to the police officers in the corresponding positions; among them, the responsible positions include: leadership positions, disciplinary positions, and other positions.

[0056] For example, there is a prison A that needs to perform work management. The database obtains the pending work content in the prison management work, retrieves the pending work content in the prison management work and forms a pending work flow node;

[0057] Now set up the scheduled task configuration, set up two scheduled tasks for to-do jobs to be generated at 6:00 and 12:00 every day, and a scheduled task for to-do job closing;

[0058] Now we build a configuration table of to-do rules for prison A. The configuration table of to-do rules includes: to-do type, pre-event or preset time, reminder method, responsible position, processing time and subsequent events. See Table 1 for details:

[0059] Table 1 To-do rule configuration table

[0060]

[0061] It should be noted that:

[0062] (1) Leadership post: Determine whether a certain job is a responsible police officer based on the specific division of labor;

[0063] (2) Discipline post: whether a certain job is a responsible police officer is determined based on the scope of the cell in charge;

[0064] (3) Other posts: If there is a clear division of labor, whether a certain job is the responsibility of the police officer will be determined according to the division of labor. Otherwise, all police officers in the post will be deemed to be the responsible police officers by default.

[0065] Now we build a workflow configuration table for prison A, where workflow configuration includes: risk assessment, violation management, purchasing management, medical treatment after leaving the prison, repair management, and work order management; see Table 2 for details:

[0066] Table 2 Workflow Configuration Table

[0067]

[0068] Now, a regular comparative analysis is performed on the entry time of the detention records and the alarm time of the alarm records of the prison data center of prison A. It is found that there is new data of the detained person (Zhang San) and equipment (fan) alarm data entering the prison yesterday. According to the configuration requirements of the to-do rules, four to-do tasks related to Zhang San are generated, including health check upon entry, conversation within 24 hours after entry, initial risk assessment, and alarm processing, forming a temporary list of to-do tasks; see Table 3 for details:

[0069] Table 3 Provisional list of tasks to be done

[0070] Serial number To-do content Start time Deadline state 1 Zhang San's health checkup 2024-03-1207:00:00 2024-03-1212:00:00 Normal To-Do 2 Talk to Zhang San within 24 hours of admission 2024-03-1207:00:00 2024-03-1307:00:00 Normal To-Do 3 Zhang San's first risk assessment 2024-03-1207:00:00 2024-03-1707:00:00 Normal To-Do 4 Fan alarm processing 2024-03-1207:00:00 2024-03-1207:20:00 Normal To-Do

[0071] Taking the previous events of detention and reporting to the police as an example, the temporary list of pending tasks in Table 3 is assigned with corresponding responsible posts and responsible police officers to form a list of pending tasks; see Table 4 for details:

[0072] Table 4 To-do list

[0073]

[0074] It should be noted that the prison data center is used to uniformly collect, store and manage information on prisoners, police officers and law enforcement data, and provide data support for the generation and closure of pending tasks, as follows:

[0075] (1) Information about the supervised person: name, personnel number, cell number, and other information;

[0076] (2) Police officer information: name, police number, position, time of admission, and other information;

[0077] (3) Law enforcement data: including conversation education, risk assessment, purchasing management, police situation management, violation management, inspection management, daily medical rounds, daily medical treatment, out-of-station medical treatment, repair management, weekly menus, and other law enforcement data.

[0078] See also Figure 3 , the management process of the pending work, the police officers in the corresponding positions will handle it according to the pending work list, and store the relevant law enforcement data in the prison data center;

[0079] Step S21: retrieve the to-do list, compare and analyze the to-do list with relevant law enforcement data at regular intervals, and determine whether the to-do list in the to-do list has a law enforcement record for the corresponding to-do item within the deadline; if yes, the corresponding to-do item is closed; if not, the time-triggered to-do items are closed, and the event-triggered to-do items proceed to step S22;

[0080] Step S22: Processing the event-triggered pending tasks as overdue pending tasks;

[0081] Step S221: Retrieve the overdue tasks and form a temporary list of overdue tasks;

[0082] Step S222: according to the configuration requirements of the to-do rules, push the temporary list of overdue tasks and remind the relevant police officers at the corresponding posts;

[0083] Step S223: After receiving the reminder of the overdue work, the relevant police officers at the corresponding posts handle the related overdue work and store the related law enforcement data in the prison data center;

[0084] Step S224: Regularly compare and analyze the temporary list of overdue tasks with relevant law enforcement data to determine whether the overdue tasks have corresponding law enforcement records; if yes, the overdue tasks are closed; if no, continue to determine;

[0085] Step S23: After the pending tasks and overdue tasks are closed, a pending task record is formed;

[0086] Retrieve the pending work records and determine whether there are subsequent events based on the pending work records; if yes, the pending workflow is not completed; if no, the pending workflow is completed.

[0087] See also Figure 4 The second aspect of the present invention provides a prison to-do task management system based on big data, including:

[0088] Work generation module: sets configuration requirements for work tasks according to the actual needs of the to-do work; work tasks include: workflow, to-do rules and scheduled tasks;

[0089] To-do work management module: build a prison data center, and form a temporary list of to-do work through data comparison and analysis of the prison data center according to configuration requirements; match the corresponding management information according to the temporary list of to-do work to form a to-do work list; the management information includes: responsible positions and responsible police officers;

[0090] Overdue pending work management module: Police officers at corresponding posts process the pending work list and store the relevant law enforcement data in the prison data center; through data comparison and analysis in the prison data center, the completed and overdue pending work is closed and a pending work record is formed;

[0091] To-do work management module: determines whether the to-do work process is completed; if yes, ends the to-do work; if not, enters the to-do work management module.

[0092] For example, take the previous events of detention and reporting to the police as examples;

[0093] 2024-03-12 07:10:00 Patrol police officer Zhang Jiguo logs into the pending work management system to process the pending tasks for alarm processing in Table 4, and the relevant law enforcement data is stored in the prison data center;

[0094] 2024-03-12 08:45:00 Doctor Wang Guo logs into the pending tasks management system to process the pending health check tasks listed in Table 4, and the relevant law enforcement data is stored in the prison data center;

[0095] 2024-03-12 10:10:00 Correctional police officer Li Min logs into the pending work management system to process the pending interview tasks within 24 hours of admission in Table 4, and the relevant law enforcement data is stored in the prison data center;

[0096] 2024-03-136:00:00 Perform a regular comparison and analysis of the alarm device and processing time in the alarm record with the pending content, start time and deadline of the current alarm processing pending work; perform a regular comparison and analysis of the supervised person number and registration time in the admission health check record with the pending content, start time and deadline of the current admission health check pending work; perform a regular comparison and analysis of the supervised person number, conversation type and registration time in the conversation record with the pending content, start time and deadline of the current admission 24-hour conversation pending work; if it is found that there are alarm processing, admission health check records and admission 24-hour conversation records that are consistent with the current pending work and are completed within the deadline, then the admission health check and admission 24-hour conversation 3 pending work will be closed to form a pending work record table; see Table 5 for details:

[0097] Table 5 To-do Work Record

[0098]

[0099]

[0100] Take the to-do tasks related to detention and alarm as an example; at 12:00:00 on 2024-03-17, the supervised person number, assessment type, and assessment time in the supervised person risk assessment record are regularly compared and analyzed with the to-do content, start time, and deadline in the current first risk assessment to-do task. If no first risk assessment record consistent with the to-do tasks in Table 4 is found, it means that the first risk assessment has not been completed within the deadline, and the current first risk assessment to-do task is closed and the first risk assessment overdue to-do tasks are generated, forming an overdue to-do task list; see Table 6 for details:

[0101] Table 6 List of tasks to be done

[0102]

[0103] 2024-03-12 10:10:00 Correctional police officer Li Min logs into the pending work management system to process the overdue tasks in the first risk assessment in Table 6, and the relevant law enforcement data is stored in the prison data center.

[0104] 2024-03-18 6:00:00 Regularly compare and analyze the supervised personnel number and assessment type in the supervised personnel risk assessment record with the pending content in the current first risk assessment pending work. If there is a latest risk assessment record that is consistent with the current pending work, it means that the pending work is completed, and then the pending work is closed to form a pending work record table, see Table 7 for details:

[0105] Table 7 To-do Work Record

[0106]

[0107]

[0108] According to the configuration of to-do rules and workflow configuration requirements, a first risk assessment approval to-do task is generated to form a new temporary list of to-do tasks, as shown in Table 8:

[0109] Table 8 New temporary list of tasks to be done

[0110]

[0111] 2024-03-19 10:00:00 The prison leader Guo Jinyang logged into the pending work management system to process the pending tasks for the first risk assessment and approval in Table 8, and the relevant law enforcement data was stored in the prison data center.

[0112] 2024-03-206:00:00 The supervised personnel number, assessment type, approval time in the supervised personnel risk assessment approval record and the pending content, start time, and deadline in the current first risk assessment approval pending work are regularly compared and analyzed. If there is a risk assessment approval record that is consistent with the current pending work and is completed within the deadline, the risk assessment approval pending work is immediately closed to form a new pending work record table, see Table 9 for details:

[0113] Table 9 New To-Do Work Record

[0114]

[0115]

[0116] Part of the data in the above formula is calculated by removing the dimension and taking its numerical value. The formula is a formula closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0117] The working principle of the present invention is as follows: configuration requirements are set for work tasks according to the actual needs of the to-do work; wherein: a prison data center is constructed, and a temporary list of to-do work is formed through data comparison and analysis of the prison data center according to the configuration requirements; a to-do work list is formed by matching corresponding management information according to the temporary list of to-do work; police officers at corresponding posts process the to-do work list according to the to-do work list, and store relevant law enforcement data in the prison data center; and completed and overdue to-do work is closed through data comparison and analysis of the prison data center, and a to-do work record is formed.

[0118] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for managing pending tasks in prisons based on big data, characterized in that: Step S1: Setting configuration requirements for work tasks according to the actual needs of the to-do work; wherein the work tasks include: workflow, to-do rules and scheduled tasks; Step S2: Construct a prison data center, and form a temporary list of pending tasks through data comparison and analysis of the prison data center according to the configuration requirements; match the corresponding management information according to the temporary list of pending tasks to form a list of pending tasks; the management information includes: responsible positions and responsible police officers; pending tasks management system Step S3: The police officers at the corresponding posts process the to-do list and store the relevant law enforcement data in the prison data center; through data comparison and analysis in the prison data center, the completed and overdue to-do tasks are closed and a to-do record is formed; Step S4: Determine whether the pending work process is completed; if yes, end the pending work; if not, proceed to step S2.

2. According to the big data-based prison to-do management method of claim 1, it is characterized by: The configuration requirements for the work tasks are set according to the actual needs of the to-be-done work, including: Set up scheduled task configuration, to-do rule configuration and workflow configuration requirements; build a to-do table according to the configuration requirements; among them, scheduled task configuration includes: task management of the scheduled comparative analysis required for the generation and closure of to-do tasks; to-do rule configuration includes: configuration of to-do types, pre-events and preset time, reminder method, responsible position, processing time and subsequent events; workflow configuration includes configuration of risk assessment, violation management, purchasing management, medical treatment, repair management, work order management workflow nodes and responsible persons for each node.

3. According to the method for managing pending tasks in prisons based on big data in claim 1, it is characterized in that: The temporary list of pending tasks is formed by comparing and analyzing the data in the prison data center according to the configuration requirements, including: Determine whether a node event occurs; if so, retrieve the configuration requirements of the to-do rules of the prison data center to obtain the responsible positions and deadline information, and generate several to-do tasks; if not, continue to determine; aggregate the generated to-do tasks to form a temporary list of to-do tasks; among them, specific node events include: reaching the preset time, discovering new preceding events through regular comparative analysis of the configuration requirements of the prison data center, and completing to-do workflow nodes.

4. According to the method for managing pending tasks in prisons based on big data as described in claim 1, it is characterized in that: The forming of a to-do work list according to the temporary to-do work list matching corresponding management information includes: Retrieve the configuration requirements of pending rules, match the generated pending tasks with corresponding responsible posts; determine whether each post has a clear division of labor according to the work content; if yes, match the responsible police officers for each pending task; if not, match all the police officers for the corresponding posts for each pending task; form a list of pending tasks, and push the list of pending tasks to the police officers at corresponding posts; among them, responsible posts include: leadership posts, disciplinary posts and other posts.

5. According to the method of claim 1, the method is characterized by: The above-mentioned process of closing the completed and overdue pending tasks and forming a pending task record through data comparison and analysis of the prison data center includes: Step S21: retrieve the to-do list, compare and analyze the to-do list with relevant law enforcement data at regular intervals, and determine whether the to-do list in the to-do list has a law enforcement record for the corresponding to-do item within the deadline; if yes, the corresponding to-do item is closed; if not, the time-triggered to-do items are closed, and the event-triggered to-do items proceed to step S22; Step S22: Processing the event-triggered pending tasks as overdue pending tasks; Step S23: After the pending tasks and overdue tasks are closed, a pending task record is generated.

6. A method for managing pending tasks in prisons based on big data according to claim 5, characterized in that: The processing of event-triggered pending tasks as overdue pending tasks includes: Step S221: Retrieve the overdue tasks and form a temporary list of overdue tasks; Step S222: according to the configuration requirements of the to-do rules, push the temporary list of overdue tasks and remind the relevant police officers at the corresponding posts; Step S223: After receiving the reminder of the overdue work, the relevant police officers at the corresponding posts handle the related overdue work and store the related law enforcement data in the prison data center; Step S224: Regularly compare and analyze the temporary list of overdue work with relevant law enforcement data to determine whether the overdue work has corresponding law enforcement records; if so, the overdue work is closed; if not, continue to determine.

7. The method for managing pending tasks in prisons based on big data according to claim 1, characterized in that: The step of determining whether the pending workflow is completed includes: Retrieve the pending work records and determine whether there are subsequent events based on the pending work records; if yes, the pending workflow has not ended; if no, the pending workflow has ended.

8. A prison pending work management system based on big data, applied to a prison pending work management method based on big data as claimed in any one of claims 1 to 7, characterized in that: Including: work generation module, to-do work management module, overdue work management module and to-do work management module; Work generation module: sets configuration requirements for work tasks according to the actual needs of the to-do work; work tasks include: workflow, to-do rules and scheduled tasks; To-do work management module: build a prison data center, and form a temporary list of to-do work through data comparison and analysis of the prison data center according to configuration requirements; match the corresponding management information according to the temporary list of to-do work to form a to-do work list; the management information includes: responsible positions and responsible police officers; Overdue pending work management module: Police officers at corresponding posts process the pending work list and store the relevant law enforcement data in the prison data center; through data comparison and analysis in the prison data center, the completed and overdue pending work is closed and a pending work record is formed; To-do work management module: determines whether the to-do work process is completed; if yes, ends the to-do work; if not, enters the to-do work management module.

Images