A digital-based information review method, system, and electronic device

Abstract

This application relates to the technical field of information review, and particularly to a digital-based information review method, system, and electronic device. The method includes the following steps: obtaining corresponding file information based on personal information, and obtaining the review level corresponding to the person to be identified according to the file information; obtaining the program to be reviewed and the corresponding review location based on the review level, and generating a predicted driving route based on the program to be reviewed and the review location; sending the predicted driving route to a constrained trolley to control the constrained trolley to transport the person to be identified to the corresponding review location based on the predicted driving route. This application leads the person to be identified to each review location according to the predicted driving route by the constrained trolley to complete the review at each review location, thereby reducing the frequency of ineffective manual occupation and improving the overall work efficiency.

Description

Technical Field

[0001] The present application relates to the technical field of information review, and particularly to a digital-based information review method, system, and electronic device. Background Art

[0002] In certain specific event processing, it is necessary to conduct information review on the person to be identified to determine whether the person to be identified is the target person. The review process includes procedures such as storing the personal belongings of the person to be identified, information entry, personnel comparison, and oral education.

[0003] The relevant review method leads the person to be identified to the location for the review procedure by a leading person, so that the review personnel for the corresponding procedure can conduct information review on the person to be identified until the person to be identified completes all review processes.

[0004] Since the leading person needs to constantly monitor the review progress after leading the person to be identified to the location of the review procedure until all the review contents of the review procedure are completed, and then lead the person to be identified to the next review process. When there are multiple persons to be identified who need to conduct information review, multiple leading persons need to be matched. These leading persons need to constantly monitor the information review process of the corresponding persons to be identified and cannot do other things. Therefore, personnel will be occupied ineffectively, which will lead to a low overall work efficiency. Summary of the Invention

[0005] In order to reduce the frequency of ineffective manual occupation and improve the overall work efficiency, the present application provides a digital-based information review method, system, and electronic device.

[0006] In a first aspect, the present application provides a digital-based information review method, adopting the following technical solution:

[0007] A digital-based information review method is applied to an information review system. The information review system includes a restraint cart and sensors. The sensors are arranged inside the restraint cart. The restraint cart is used to place the person to be identified, and the sensors are used to sense whether the person to be identified is successfully placed inside the restraint cart. If the person to be identified is successfully placed, an installation success signal is generated. The installation success signal includes personal information. The method is characterized by including the following steps:

[0008] Obtain the corresponding file information based on the personal information, and obtain the review level corresponding to the person to be identified according to the file information;

[0009] Obtain the review procedures to be reviewed and the review locations corresponding to the review procedures based on the review level, and generate a predicted driving route according to the review procedures and the review locations;

[0010] Send the predicted driving route to the constrained trolley to control the constrained trolley to transport the person to be identified to the corresponding review location based on the predicted driving route.

[0011] By adopting the above technical solution, the constrained trolley leads the person to be identified to each review location according to the predicted driving route to complete the review at each review location, thereby reducing the frequency of ineffective occupation by manual labor and improving the overall work efficiency.

[0012] In one of the embodiments, after obtaining the review level corresponding to the person to be identified according to the file information, the following steps are further included:

[0013] Compare the review level with a preset level and determine whether the review level exceeds the preset level;

[0014] If the review level exceeds the preset level, obtain an accommodation constraint signal according to the review level and transmit the accommodation constraint signal to the constrained trolley to control the constrained trolley to perform behavior constraint on the person to be identified based on the accommodation constraint signal.

[0015] By adopting the above technical solution, different accommodation constraint signals are obtained for the review level corresponding to each person to be identified, so that the information entry effect of the person to be identified is more obvious, and different constraints are obtained for different persons to be identified, so that the adaptability of the entire information entry system is stronger, greatly reducing the binding and participation of staff.

[0016] In one of the embodiments, the generating of the predicted driving route according to the to-be-reviewed procedure and the review location includes the following steps:

[0017] Obtain a review correlation degree according to the to-be-reviewed procedure, compare the review correlation degree with a preset correlation degree, and determine whether the review correlation degree is greater than the preset correlation degree, where the review correlation degree represents the continuous review degree between to-be-reviewed procedures;

[0018] If the review correlation degree is greater than the preset correlation degree, determine the order of passing through the review locations based on the sequence of the to-be-reviewed procedures to form the predicted driving route;

[0019] If the review correlation degree is not greater than the preset correlation degree, obtain the current position data of the constrained trolley, and obtain a driving interval according to the current position data and the review location;

[0020] Arrange the review locations in ascending order based on the driving interval, and generate the predicted driving route according to the arranged review locations.

[0021] By adopting the above technical solution, based on the audit relevance of the program to be audited, if the audit relevance is greater than the preset relevance, the order of passing through the audit location is determined based on the sequence of the program to be audited to form the predicted driving route; if the audit relevance is not greater than the preset relevance, the current position data of the constrained vehicle is obtained, and the driving interval is obtained based on the current position data and the audit location; the audit locations are sorted in ascending order based on the driving interval, and the predicted driving route is generated according to the sorted audit locations, so as to determine different acquisition methods of the predicted driving route, which can reduce the waiting time of the personnel to be identified, and further improve the efficiency of information entry of the overall personnel to be identified.

[0022] In one embodiment, after sending the predicted driving route to the constrained vehicle, the following steps are further included:

[0023] Obtain the next audit program and the corresponding driving position based on the predicted driving route, and obtain the audit status according to the audit program, where the audit status includes waiting for audit;

[0024] Judge whether the audit status corresponding to the audit program is waiting for audit;

[0025] If it is determined that the audit status corresponding to the audit program is waiting for audit, control the constrained vehicle to lead the personnel to be identified to the driving position based on the predicted driving route;

[0026] If it is determined that the audit status corresponding to the audit program is not waiting for audit, obtain the un-audited programs according to the program to be audited, and screen out the priority audit programs from the un-audited programs;

[0027] Update the predicted driving route with the priority audit program and the corresponding audit location, so as to control the constrained vehicle to run based on the updated predicted driving route.

[0028] By adopting the above technical solution, the audit program is detected in advance, and then the predicted driving route is updated in real time, so as to reduce the driving of multiple constrained vehicles to the driving positions of the same audit program and improve the overall work efficiency.

[0029] In one embodiment, obtaining the audit status according to the audit program includes the following steps:

[0030] Obtain the program under audit and the corresponding location data based on the predicted driving route, and obtain the duration to be driven based on the location data and the driving position;

[0031] Obtain the occupancy duration according to the review procedure, compare the occupancy duration with the to-be-traveled duration, and determine whether the occupancy duration is less than the to-be-traveled duration;

[0032] If the occupancy duration is less than the to-be-traveled duration, set the review status to waiting for review.

[0033] In one of the embodiments, the obtaining the occupancy duration according to the review procedure includes the following steps:

[0034] Obtain the current estimated working duration according to the review procedure, and obtain the to-be-arrived vehicle according to the driving position;

[0035] Obtain the corresponding estimated processing duration according to the to-be-arrived vehicle, and use the estimated working duration and the estimated processing duration as the occupancy duration.

[0036] In a second aspect, the present application provides a digital-based information review system, adopting the following technical solution:

[0037] A digital-based information review system, the information review system includes a restraint vehicle and a sensor, the sensor is arranged in the restraint vehicle, the restraint vehicle is used to place the to-be-identified person, and the sensor is used to sense whether the to-be-identified person in the restraint vehicle is successfully placed. If the to-be-identified person is successfully placed, an placement success signal is generated, and the placement success signal includes the personal information corresponding to the to-be-identified person, including:

[0038] A level acquisition module, the level acquisition module acquires the corresponding file information based on the personal information, and acquires the review level corresponding to the to-be-identified person according to the file information;

[0039] A data processing module, the data processing module acquires the to-be-reviewed procedure and the review location corresponding to the to-be-reviewed procedure based on the review level, and generates a predicted driving route according to the to-be-reviewed procedure and the review location;

[0040] The data processing module sends the predicted driving route to the restraint vehicle, and the restraint vehicle transports the to-be-identified person to the corresponding review location based on the predicted driving route until the review of all the to-be-reviewed procedures is completed.

[0041] In one embodiment, it further includes a sensing module, which is arranged inside the restraint trolley, and the sensing module is used to monitor the vital sign data of the person to be identified and send the vital sign data to the data processing module, so that the data processing module generates an audit update signal based on the vital sign data and updates the predicted driving route of the restraint trolley based on the audit update signal.

[0042] In one embodiment, an emergency operation button is arranged inside the restraint trolley, and the emergency operation button is used to control the emergency braking of the restraint trolley.

[0043] In a third aspect, the present application provides an electronic device, adopting the following technical solution:

[0044] An electronic device includes a processor and a memory that are coupled to each other, and a computer program capable of running on the processor is stored on the memory;

[0045] When the computer program is executed by the processor, it implements the information audit method based on digitization described in the first aspect.

[0046] In summary, the present application includes at least one of the following beneficial technical effects:

[0047] Based on the restraint trolley leading the person to be identified to each audit location according to the predicted driving route to complete the audit at each audit location, thereby reducing the frequency of ineffective manual occupation and improving the overall work efficiency;

[0048] For the audit level corresponding to each person to be identified, different placement restraint signals are obtained, so that the information entry effect of the person to be identified is more obvious, and different restraints are obtained for different persons to be identified, so that the adaptability of the entire information entry system is stronger, greatly reducing the binding and participation of staff;

[0049] Based on the audit relevance of the program to be audited, different acquisition methods of the predicted driving route are determined, which can reduce the waiting time of the person to be identified and thus improve the efficiency of information entry of the overall person to be identified. Description of the Drawings

[0050] Figure 1 is a block diagram of the information audit method based on digitization provided by an embodiment of the present application;

[0051] Figure 2 is a block diagram of the acquisition method of the predicted driving route provided by an embodiment of the present application;

[0052] Figure 3 is a block diagram of another method provided by an embodiment of the present application;

[0053] Figure 4 It is a schematic structural diagram of an information review system based on digitization provided by an embodiment of the present application;

[0054] Figure 5 It is a block diagram of the structure of an electronic device provided by this embodiment.

[0055] Explanation of reference numerals: 10, level acquisition module; 20, data processing module; 30, restraint trolley; 41, processor; 42, memory. Specific implementation manners

[0056] To more clearly understand the purpose, technical solution, and advantages of the present application, the present application will be described and explained below in conjunction with the accompanying drawings and embodiments. However, those of ordinary skill in the art should understand that the present application can be implemented without these details. In some cases, in order to avoid unnecessary descriptions from obscuring various aspects of the present application, well-known methods, processes, systems, components, and / or circuits that have been described at a higher level will not be described in detail. For those of ordinary skill in the art, it is obvious that various changes can be made to the disclosed embodiments of the present application, and without departing from the principles and scope of the present application, the general principles defined in the present application can be applied to other embodiments and application scenarios. Therefore, the present application is not limited to the illustrated embodiments, but conforms to the broadest scope consistent with the scope claimed in the present application.

[0057] An embodiment of the present application discloses a digitization-based information review method, which is applied to an information review system. The system includes a restraint trolley, which is mainly used to place the person to be identified. A sensor is provided in the restraint trolley, which can sense the person to be identified getting on the vehicle. After the sensor senses the person to be identified getting on the vehicle, a placement success signal is generated and sent to the processor of the information review system, so that after the processor receives the placement success signal, subsequent data processing can be performed. The placement success signal includes at least personal information, and the personal information includes personal images, personal names, etc.

[0058] As Figure 1 shown, the digitization-based information review method includes the following steps:

[0059] S100, obtain the corresponding file information based on the personal information, and obtain the review level corresponding to the person to be identified according to the file information.

[0060] Among them, the file information represents the information of the case involving the person to be identified. Here, the file information can be obtained by matching the personal image in the personal information in a preset database, matching the corresponding comparison cases, and screening out the corresponding currently reviewed event in the comparison cases as the file information corresponding to the personal information.

[0061] It should be noted here that the preset database stores several groups of comparison cases. The comparison cases include event situations, review statuses, and personnel involved in the events, etc. To screen out the currently reviewed event, it can be confirmed according to the information input by the staff, or according to the review status of the comparison event. For some comparison events with the review status of "review completed", they are not considered as alternatives.

[0062] The review level represents the importance of the person to be identified involved in the event. The review levels include preliminary involvement, moderate involvement, and high involvement, etc. Preliminary involvement means only being related to the event, which can indicate that the person to be identified did not participate in the event, but only described the event as a passerby or described the event participants, etc. Moderate involvement means that the person to be identified participated in the event, but the participation level is relatively low, and some preliminary operations can be performed in the event, such as passing messages and running errands, etc. High involvement means participating in the decision-making and execution of the event, etc.

[0063] S200, obtain the program to be reviewed and the review location corresponding to the program to be reviewed based on the review level, and generate a predicted driving route according to the program to be reviewed and the review location.

[0064] Among them, the program to be reviewed represents the program for information review corresponding to the person to be identified, and the review location represents the location where the program to be reviewed is located. This review location can specifically be the number of each room. The predicted driving route represents the route that the person to be identified needs to drive to complete all the programs to be reviewed, and this predicted driving route can improve the efficiency of the entire information collection and entry.

[0065] It should be noted here that because different persons to be identified are involved in the event to different degrees, the programs that need to be reviewed are also different. Therefore, it is necessary to obtain the corresponding program to be reviewed according to the review level corresponding to the person to be identified. The specific process of obtaining the program to be reviewed mainly screens out the corresponding matching level in the level matching library according to the review level. The level matching library stores several groups of matching levels, the matching programs corresponding to the matching levels, and the matching locations corresponding to each matching program. Therefore, after obtaining the matching level according to the review level, the matching program is used as the program to be reviewed, and the matching location is used as the review location. It should be noted here that the review location and the review program are not one-to-one. There may be multiple rooms that implement the same review program. Therefore, the level matching library can be updated in real time according to the actual situation, and the review locations for the programs to be reviewed on the same day are set.

[0066] When initially generating the predicted driving route, it can be arranged in sequence according to the chronological order. For example, for the persons to be identified A, B, and C, the review procedures corresponding to the persons to be identified A, B, and C are inquiries, and the corresponding review locations are location A and location B. First, generate the predicted driving route for the person to be identified A, assign review location A to the person to be identified A. Then, generate the predicted driving route for the person to be identified B, assign review location B to the person to be identified B. Finally, generate the predicted driving route for the person to be identified C, and assign review location A to the person to be identified C.

[0067] S300, send the predicted driving route to the restraint trolley to control the restraint trolley to transport the person to be identified to the corresponding review location based on the predicted driving route.

[0068] It should be noted here that the processor controls the restraint trolley to enter each review room according to the predicted driving route to complete each review procedure. After completing the information review, it judges whether staff intervention is required. If no staff intervention is required, it can continue to input the next action target and control the restraint trolley to continue running until the information review of all review procedures is completed. There will be corresponding information records and feedback at the start and end of each action process. That is, the staff can obtain the current situation of the person to be identified only through the external video monitoring center and the control terminal of the trolley.

[0069] Specifically, when it is necessary to conduct personnel information review and entry for the person to be identified, lead the person to be identified into the restraint trolley. After the sensor senses that the person to be identified has successfully sat on the fixed seat, it generates a placement success signal and sends the placement success signal to the processor. The processor obtains the corresponding personal information of the person to be identified based on the placement success information, and filters in the preset database based on the personal image of the personal information to obtain the corresponding file information. Then, obtain the review level corresponding to the person to be identified based on the file information, obtain the review procedure and the corresponding review location based on the review level, and generate a predicted driving route based on the review procedure and the review location. The processor sends the generated predicted driving route to the restraint trolley to control the restraint trolley to transport the person to be identified to the corresponding review location based on the predicted driving route.

[0070] In one of the embodiments, after obtaining the review level corresponding to the person to be identified based on the file information, the following steps are further included:

[0071] S110, compare the review level with the preset level and judge whether the review level exceeds the preset level.

[0072] S120. If the audit level exceeds the preset level, obtain an placement constraint signal according to the audit level, and transmit the placement constraint signal to the constraint trolley to control the constraint trolley to perform behavior constraint on the person to be identified based on the placement constraint signal.

[0073] Among them, the preset level represents the lowest level standard for performing constraint behavior on the person to be identified. The placement constraint signal represents a signal for performing behavior constraint on the person to be identified.

[0074] Specifically, after the processor obtains the audit level of the person to be identified, it is necessary to determine whether the constraint trolley needs to perform behavior constraint on the person to be identified, that is, compare the audit level with the preset level, and determine whether the audit level exceeds the preset level. If the audit level exceeds the preset level, it is determined that the constraint trolley needs to perform behavior constraint on the person to be identified. Therefore, the processor obtains the placement constraint signal according to the audit level, and transmits the placement constraint signal to the constraint trolley to control the constraint trolley to perform behavior constraint on the person to be identified based on the placement constraint signal.

[0075] It should be noted here that the behavior constraint on the person to be identified is mainly to control the person to be identified to sit fixed in the constraint trolley. Of course, when the staff leads the person to be identified to the constraint trolley, the constraint operation can also be started by the staff. Therefore, before the processor compares the audit level with the preset level, the behavior state of the person to be identified can also be judged. If the person to be identified is in an unconstrained state, then continue to compare the audit level with the preset level and subsequent step operations.

[0076] Specifically, the constraint here can be understood as limb constraint, and the feet or legs are both subject to constraint to restrict movement. Whether to apply constraint to the hands can be flexibly handled, and the constraint trolley is not directly controlled externally, but is controlled by a set program and the processor.

[0077] Refer to Figure 2 , in one of the embodiments, a predicted driving route is generated according to the program to be audited and the audit location, including the following steps:

[0078] S210. Obtain the audit relevance according to the program to be audited, compare the audit relevance with the preset relevance, and determine whether the audit relevance is greater than the preset relevance.

[0079] S220. If the audit relevance is greater than the preset relevance, determine the order of passing through the audit location based on the sequence of the program to be audited to form a predicted driving route.

[0080] S230. If the audit relevance is not greater than the preset relevance, obtain the current position data of the constraint trolley, and obtain the driving interval according to the current position data and the audit location.

[0081] S240, arrange the audit locations in ascending order based on the driving intervals, and generate a predicted driving route according to the arranged audit locations.

[0082] Among them, the audit correlation represents the continuous audit degree between the programs to be audited, and the preset correlation represents the lowest standard for the existence of associations between the programs to be audited. The audit correlation can be obtained by comparing the relationships between all the programs to be audited. The specific obtaining method is as follows: sort all the programs to be audited according to the general situation, then audit each program one by one, and judge the coherence relationship between this program and the previous adjacent program. If this program must be audited after the previous program is audited, then update the audit correlation. In this embodiment, updating the audit correlation specifically means adding a preset value to the audit correlation. The preset value is set to 5, and the initial audit correlation is 0. When there is a program that is associated with the previous program in terms of audit, the audit correlation is updated. In this embodiment, the preset correlation is set to 5. It should be noted here that since there is no previous program for the program in the first place, when obtaining the audit correlation in this embodiment, the judgment can be directly made from the program in the second place.

[0083] The current position data represents the current position of the constrained trolley, and the driving interval represents the distance required for the constrained trolley to travel from the audit location corresponding to the current position data.

[0084] Exemplarily, for the programs to be audited a, b, and c corresponding to the person to be identified A, the general audit order is the program to be audited a, the program to be audited b, and the program to be audited c. First, judge the program to be audited b. If the program to be audited b must be audited after the program to be audited a is completed, then the audit correlation corresponding to this person to be identified is 5. Then, judge the program to be audited C. If the program to be audited c must be audited after the program to be audited a and / or the program to be audited b is completed, then the audit correlation corresponding to this person to be identified is 10. Therefore, the audit correlation corresponding to this person to be identified A is 10. By comparing the audit correlation with the preset correlation, it is determined that the audit correlation is greater than the preset correlation.

[0085] It should be noted here that when the program c to be reviewed must be reviewed after the program a to be reviewed ends, the predicted driving route finally generated by the person A to be identified sequentially passes through the review locations corresponding to the program a to be reviewed, the program b to be reviewed, and the program c to be reviewed, or sequentially passes through the review locations corresponding to the program a to be reviewed, the program c to be reviewed, and the program b to be reviewed. When the program c to be reviewed must be reviewed after the program b to be reviewed ends, the predicted driving route finally generated by the identifier A sequentially passes through the review locations corresponding to the program a to be reviewed, the program b to be reviewed, and the program c to be reviewed. When the program c to be reviewed must be reviewed after the program a and the program b to be reviewed end, the predicted driving route finally generated by the person A to be identified sequentially passes through the review locations corresponding to the program a to be reviewed, the program b to be reviewed, and the program c to be reviewed.

[0086] Exemplarily, the programs to be reviewed corresponding to the person B to be identified are the program d to be reviewed, the program e to be reviewed, and the program f to be reviewed, and the corresponding review locations are the review location d, the review location e, and the review location f respectively. The general review order is the program d to be reviewed, the program e to be reviewed, and the program f to be reviewed. By judging the program e to be reviewed and the program f to be reviewed, it is found that there is no association between them. Therefore, it is necessary to obtain the current position data and the review locations d, e, and f respectively at intervals, and the corresponding driving intervals are the driving interval d, the driving interval e, and the driving interval f respectively. The driving intervals d, e, and f are sorted in ascending order of magnitude, and after sorting, they are the driving interval d, the driving interval f, and the driving interval e. Therefore, the predicted driving route corresponding to the person B to be identified sequentially passes through the review location d, the review location f, and the review location e.

[0087] Refer to Figure 3 , in one of the embodiments, after sending the predicted driving route to the constrained trolley, the following steps are further included:

[0088] S400, obtain the next review program and the corresponding driving position based on the predicted driving route, and obtain the review status according to the review program.

[0089] S500, judge whether the review status corresponding to the review program is waiting for review.

[0090] S600, if it is determined that the review status corresponding to the review program is waiting for review, then control the constrained trolley to lead the person to be identified to the driving position based on the predicted driving route.

[0091] S700, if it is determined that the review status corresponding to the review program is not waiting for review, then obtain the un-reviewed programs according to the review program, and screen out the priority review programs from the un-reviewed programs.

[0092] The S800 updates the predicted driving route for the priority review process and the corresponding review location, and controls the constrained trolley to run based on the updated predicted driving route.

[0093] Among them, the review process represents the process for the person to be identified to be reviewed next, the driving position represents the location corresponding to the review process, and the review status includes waiting for review, being under review, and not starting the review, etc. Waiting for review means that the staff corresponding to this review location is in a spatial state, being under review means that the staff corresponding to this review location is in a working state, and not starting the review means that the staff corresponding to this review location does not conduct the review of this review process.

[0094] Specifically, the processor obtains the next review process and the corresponding driving position based on the predicted driving route, obtains the review status according to the review process, and determines whether the review status corresponding to the review process is waiting for review. If it is determined that the review status corresponding to the review process is waiting for review, the constrained trolley is controlled to lead the person to be identified to the driving position based on the predicted driving route.

[0095] It should be noted here that the priority review process represents the process that can be reviewed with priority. If it is determined that the review status corresponding to the review process is not waiting for review, the un-reviewed processes are obtained according to the process to be reviewed, and the priority review processes are screened out from the un-reviewed processes. The predicted driving route is updated with the priority review process and the corresponding review location, so as to control the constrained trolley to run based on the updated predicted driving route. The priority review process can be obtained preferentially according to the review relevance, and then according to the driving interval.

[0096] Exemplarily, for the processes to be reviewed a, b, c, and d corresponding to the person to be identified A, the review locations corresponding to the processes to be reviewed of the person to be identified A are respectively review location a, review location b, review location c, and review location d. When the process to be reviewed c must be reviewed after the process to be reviewed a ends, the finally generated predicted driving route of the person to be identified A passes through the review locations corresponding to the processes to be reviewed a, b, and c in sequence, that is, through review location a, review location b, and review location c in sequence. When the process to be reviewed a ends and it is found that the corresponding process to be reviewed b is not waiting for review, by judging the review relevance between the process to be reviewed d and the process to be reviewed c, it is found that there is no order of precedence between the process to be reviewed d and the process to be reviewed c. Therefore, it is obtained according to the intervals between review location d and review location c and the current position of the person to be identified. Review location c is the closest to the current position. Therefore, review location c is selected as the priority review process, and the updated predicted driving route passes through review location c, review location b, and review location d or passes through review location c, review location d, and review location b.

[0097] In one embodiment, obtaining the audit status according to the audit procedure includes the following steps:

[0098] S410, obtaining the in-audit procedure and the corresponding location data based on the predicted driving route, and obtaining the duration to be traveled according to the location data and the driving location.

[0099] S420, obtaining the occupied duration according to the audit procedure, comparing the occupied duration with the duration to be traveled, and determining whether the occupied duration is less than the duration to be traveled.

[0100] S430, if the occupied duration is less than the duration to be traveled, setting the audit status to waiting for audit.

[0101] Among them, the duration to be traveled represents the duration required for the person to be identified to travel from the location data to the driving location, and the occupied duration represents the duration required for the audit procedure to end its work. It should be noted here that the duration calculation starts from the same moment, that is, the time when the processor processes this data. If the occupied duration is not less than the duration to be traveled, the audit status is set to being audited.

[0102] In one embodiment, obtaining the occupied duration according to the audit procedure includes the following steps:

[0103] S421, obtaining the current estimated working duration according to the audit procedure, and obtaining the car to be arrived at according to the driving location.

[0104] S422, obtaining the corresponding estimated processing duration according to the car to be arrived at, and taking the estimated working duration and the estimated processing duration as the occupied duration.

[0105] Among them, the estimated working duration represents the approximate working duration required for the audit procedure, which can be estimated according to past historical data. The estimated processing duration represents the duration to be processed around this audit procedure, and the car to be arrived at represents the car that is about to arrive at the audit procedure. The estimated processing duration can also be estimated according to historical durations.

[0106] The embodiments of the present application also disclose a digital-based information audit system. The information audit system includes a constrained car and a sensor. The sensor is arranged in the constrained car. The constrained car is used to place the person to be identified, and the sensor is used to sense whether the person to be identified in the constrained car is successfully placed. If the person to be identified is successfully placed, an installation success signal is generated. The installation success signal includes the personal information corresponding to the person to be identified.

[0107] Such as Figure 4As shown in the figure, the digitized information review system includes a level acquisition module 10 and a data processing module 20. The data processing module 20 is connected to the level acquisition module 10 through a network. The level acquisition module 10 obtains corresponding file information based on personal information, and obtains the review level corresponding to the person to be identified according to the file information. The data processing module 20 obtains the program to be reviewed and the corresponding review location based on the review level, and generates a predicted driving route according to the program to be reviewed and the review location. The data processing module 20 sends the predicted driving route to the constrained trolley. The constrained trolley transports the person to be identified to the corresponding review location based on the predicted driving route until the review of all programs to be reviewed is completed.

[0108] The other functions performed by the above-mentioned level acquisition module 10 and data processing module 20, as well as the technical details of each function, are the same as or similar to the corresponding features in the previously described digitized information review method, so they will not be elaborated here.

[0109] In addition,

[0110] In one of the embodiments, it further includes a sensing module. The sensing module is disposed inside the constrained trolley and is used to monitor the vital sign data of the person to be identified, and is used to send the vital sign data to the data processing module 20, so that the data processing module 20 generates a review update signal based on the vital sign data and updates the predicted driving route of the constrained trolley based on the review update signal.

[0111] In one of the embodiments, an emergency operation button is provided inside the constrained trolley, and the emergency operation button is used to control the emergency braking of the constrained trolley.

[0112] It should be noted here that the constrained trolley can also be adaptively adjusted according to the body shape of the person to be identified. Of course, the most important thing is that it can move, similar to driverless.

[0113] Considering that when the person to be identified is moving in the constrained trolley, there may be some urgent needs, so there is also an emergency switch or button on the constrained trolley. The setting method allows it to be touched even when the hand is in a constrained state. Generally, the hand constraint will fix the wrist, and the fingers can still move, or there is a voice collection device. The person to be identified can put forward requests through voice. After receiving the request of the person to be identified, the staff can arrange for corresponding processing.

[0114] The embodiment of the present application also discloses an electronic device.

[0115] Referring to Figure 5 , the electronic device includes a processor and a memory that are coupled to each other, and a computer program that can run on the processor is stored on the memory.

[0116] When the computer program is executed by a processor, it implements a method for auditing digitized information.

[0117] The memory 42 can be a ROM or other type of static storage device that can store static information and instructions, a random access memory, or other types of dynamic storage devices that can store information and instructions. It can also be an electrically erasable programmable read-only memory, a compact disc read-only memory, or other optical disc storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), magnetic disk storage media, or other magnetic storage devices, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto. The memory 42 can be an internal storage unit in some embodiments.

[0118] The processor 41 can be a central processing unit, a general-purpose processor, a digital signal processor, an application-specific integrated circuit, a field-programmable gate array, or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It is used to run the program code stored in the memory 42 or process data.

[0119] The processor 41 and the memory 42 are connected by a bus. The bus can include a path for transmitting information between the above components. The bus can be a peripheral component interconnect standard bus or an extended industry standard architecture bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of simplicity of representation, Figure 5 only a thick line is shown here, but it does not mean that there is only one bus or one type of bus.

[0120] Figure 5 Only an electronic device having a memory 42, a processor 41, and a bus is shown. Those skilled in the art can understand that Figure 5 the shown structure does not constitute a limitation on the electronic device. It can be a bus-type structure or a star structure. The electronic device can also include more or fewer components than shown, or combine certain components, or have different component deployments. Other existing or future possible electronic devices are applicable and should also be included in the protection scope and are hereby incorporated by reference.

[0121] The implementation principle is as follows:

[0122] After obtaining the review level of the person to be identified, the processor needs to determine whether the restraint trolley should impose behavioral restraint on the person to be identified, that is, compare the review level with the preset level and determine whether the review level exceeds the preset level. If the review level exceeds the preset level, it is determined that the restraint trolley needs to impose behavioral restraint on the person to be identified. Therefore, the processor will obtain the placement restraint signal according to the review level and transmit the placement restraint signal to the restraint trolley to control the restraint trolley to impose behavioral restraint on the person to be identified based on the placement restraint signal.

[0123] It should be understood that although the steps in the flowchart of the accompanying drawings are shown sequentially according to the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless there is a clear indication in this article, the execution of these steps has no strict order limit and can be executed in other orders.

[0124] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited accordingly. Therefore, all equivalent changes made according to the structure, shape, and principle of the present application should be covered within the protection scope of the present application.

Claims

1. A digital-based information audit method, applied to an information audit system, wherein the information audit system comprises a restraint trolley and a sensor, wherein the sensor is arranged in the restraint trolley, the restraint trolley is used to place a person to be identified, and the sensor is used to sense whether the person to be identified in the restraint trolley is successfully placed. If the person to be identified is successfully placed, a placement success signal is generated, wherein the placement success signal comprises personal information corresponding to the person to be identified, and is characterized in that: The following steps are involved: Obtain corresponding file information based on the personal information, and obtain the review level corresponding to the person to be identified based on the file information; Acquire the program to be reviewed and the review location corresponding to the program to be reviewed based on the review level, and generate a predicted driving route according to the program to be reviewed and the review location; The predicted driving route is sent to the constrained vehicle to control the constrained vehicle to transport the person to be identified to the corresponding audit location based on the predicted driving route.

2. The digital information review method according to claim 1 is characterized in that: After obtaining the audit level corresponding to the person to be identified according to the file information, the following steps are also included: Compare the audit level with a preset level, and determine whether the audit level exceeds the preset level; If the audit level exceeds the preset level, a placement constraint signal is obtained according to the audit level, and the placement constraint signal is transmitted to the constraint vehicle to control the constraint vehicle to perform behavioral constraints on the person to be identified based on the placement constraint signal.

3. The digital information review method according to claim 1 is characterized in that: The method of generating a predicted driving route according to the program to be reviewed and the review location includes the following steps: Acquire the audit correlation degree according to the to-be-audited procedures, compare the audit correlation degree with a preset correlation degree, and determine whether the audit correlation degree is greater than the preset correlation degree, wherein the audit correlation degree represents the degree of continuous audit between the to-be-audited procedures; If the audit correlation is greater than the preset correlation, the order of passing through the audit locations is determined based on the order of the programs to be audited to form the predicted driving route; If the audit correlation is not greater than the preset correlation, the current position data of the restrained vehicle is obtained, and the driving interval is obtained according to the current position data and the audit location; The audit locations are arranged in ascending order based on the driving interval, and the predicted driving route is generated according to the arranged audit locations.

4. The digital information audit method according to claim 1 is characterized in that: After sending the predicted driving route to the constrained vehicle, the method further includes the following steps: Acquire the next review procedure and the corresponding driving position based on the predicted driving route, and acquire the review status according to the review procedure, wherein the review status includes waiting for review; Determine whether the audit status corresponding to the audit procedure is waiting for audit; If it is determined that the audit status corresponding to the audit procedure is waiting for audit, controlling the restraint vehicle to lead the person to be identified to the driving position based on the predicted driving route; If it is determined that the audit status corresponding to the audit program is not waiting for audit, then obtaining unaudited programs based on the pending audit programs, and selecting priority audit programs from the unaudited programs; The priority review procedure and the corresponding review location are used to update the predicted driving route to control the constrained vehicle to operate based on the updated predicted driving route.

5. The digital information review method according to claim 4 is characterized in that: The step of obtaining the audit status according to the audit procedure comprises the following steps: Acquire the program under review and the corresponding location data based on the predicted driving route, and acquire the time to be traveled based on the location data and the driving position; Obtaining the occupied time according to the review procedure, comparing the occupied time with the waiting time, and determining whether the occupied time is less than the waiting time; If the occupied time is less than the waiting time, the review status is set to waiting for review.

6. The method for digitalizing information review according to claim 5, characterized in that: The method of obtaining the occupied time according to the audit procedure includes the following steps: Obtain the current estimated working time according to the review procedure, and obtain the waiting vehicle according to the driving position; The corresponding estimated processing time is obtained according to the waiting-to-arrive vehicle, and the estimated working time and the estimated processing time are used as the occupied time.

7. A digital-based information audit system, applied to an information audit system, the information audit system comprising a restraint trolley and a sensor, the sensor being arranged in the restraint trolley (30), the restraint trolley (30) being used to place a person to be identified, and the sensor being used to sense whether the person to be identified in the restraint trolley (30) is successfully placed, if the person to be identified is successfully placed, a placement success signal is generated, the placement success signal comprising personal information corresponding to the person to be identified, characterized in that: include: A grade acquisition module (10), the grade acquisition module (10) acquiring corresponding file information based on the personal information, and acquiring the audit grade corresponding to the person to be identified according to the file information; A data processing module (20), the data processing module (20) acquiring a program to be reviewed and a review location corresponding to the program to be reviewed based on the review level, and generating a predicted driving route based on the program to be reviewed and the review location; The data processing module (20) sends the predicted travel route to the restraint vehicle (30), and the restraint vehicle (30) transports the person to be identified to the corresponding audit location based on the predicted travel route until the audit of all the programs to be audited is completed.

8. The digital information review system according to claim 7 is characterized in that: It also includes a sensing module, which is arranged inside the restrained vehicle and is used to monitor the vital characteristics data of the person to be identified and to send the vital characteristics data to the data processing module so that the data processing module can generate an audit update signal according to the vital characteristics data and update the predicted driving route of the restrained vehicle based on the audit update signal.

9. The digital information review system according to claim 8, characterized in that: An emergency operation button is arranged inside the restraint trolley, and the emergency operation button is used to control the emergency braking of the restraint trolley.

10. An electronic device, characterized in that: The electronic device comprises a processor (41) and a memory (42) coupled to each other, wherein the memory (42) stores a computer program that can be run on the processor (41); When the computer program is executed by the processor (41), the digital-based information audit method as claimed in any one of claims 1 to 6 is implemented.

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