Information auditing method and system based on digitization and electronic equipment

Abstract

The invention relates to the technical field of information auditing, in particular to a digitization-based information auditing method and system and electronic equipment, and the method comprises the following steps: obtaining corresponding archive information based on personal information, and obtaining an auditing grade corresponding to a to-be-identified person according to the archive information; obtaining a to-be-audited program and an audit place corresponding to the to-be-audited program based on the audit level, and generating a predicted driving route according to the to-be-audited program and the audit place; and sending the predicted driving route to the constraint trolley so as to control the constraint trolley to convey the to-be-identified person to a corresponding auditing place based on the predicted driving route. According to the method, the to-be-identified personnel are guided to each auditing place according to the predicted driving route based on the constraint trolley to complete auditing of each auditing place, so that the frequency of invalid manual occupation is reduced, and the overall working efficiency is improved.

Description

Technical Field

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

[0002] In the handling of certain specific events, it is necessary to conduct an information review of 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, entering information, comparing personnel, and verbal education.

[0003] The relevant audit method is that the person to be identified is led by a guide to the location where the audit procedure is to be carried out, so that the auditors of the corresponding procedures can conduct information audit on the person to be identified until the person to be identified completes all the audit processes.

[0004] After the leader leads the person to be identified to the audit procedure, he needs to keep an eye on the audit progress until all the audit contents of the audit procedure are completed, and then lead the person to be identified to the next audit process. When there are multiple persons to be identified who need information audit, multiple leaders need to be matched. These leaders need to keep an eye on the information audit process of the corresponding persons to be identified and cannot do other things, which will cause the personnel to be ineffectively occupied, and then lead the overall work efficiency to be low. Summary of the invention

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

[0006] In the first aspect, the present application provides a digital information review method, which adopts the following technical solutions: A digital-based information audit method is 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 includes personal information, and the method comprises the following steps: 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.

[0007] By adopting the above technical solution, the constrained vehicle leads the persons to be identified to various audit locations according to the predicted driving route to complete the audit of each audit location, thereby reducing the frequency of ineffective manual occupation and improving overall work efficiency.

[0008] In one embodiment, 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.

[0009] By adopting the above technical solution, different placement 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 can be more obvious, and different constraints are obtained for different persons to be identified, so that the entire information entry system is more adaptable and the binding and participation of staff are greatly reduced.

[0010] In one embodiment, the step of generating a predicted driving route based on 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.

[0011] By adopting the above technical scheme, based on the audit correlation of the program to be audited, if the audit correlation is greater than the preset correlation, the order of passing the audit locations is determined based on the sequence 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 constrained vehicle is obtained, and the driving interval is obtained based on 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, so as to determine different ways of obtaining the predicted driving route, which can reduce the waiting time of the person to be identified, and thus improve the overall efficiency of information entry of the person to be identified.

[0012] In one embodiment, after sending the predicted driving route to the constrained vehicle, the following steps are also included: 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.

[0013] By adopting the above technical solution, the audit procedure is detected in advance, and the predicted driving route is updated in real time to reduce the number of constrained vehicles heading to the driving position of the same audit procedure, thereby improving overall work efficiency.

[0014] In one embodiment, obtaining the audit status according to the audit procedure includes 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.

[0015] In one embodiment, 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.

[0016] In the second aspect, the present application provides a digital information review system, which adopts the following technical solutions: A digital-based information audit system, the information audit system includes a restraint trolley and a sensor, 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, and the placement success signal includes personal information corresponding to the person to be identified, including: A grade acquisition module, wherein the grade acquisition module acquires corresponding file information based on the personal information, and acquires the review grade corresponding to the person to be identified according to the file information; A data processing module, wherein the data processing module obtains the program to be reviewed and the review location corresponding to the program to be reviewed 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 sends the predicted driving route to the constrained vehicle, and the constrained vehicle transports the person to be identified to the corresponding audit location based on the predicted driving route until the audit of all the programs to be audited is completed.

[0017] In one of the embodiments, it also includes a sensing module, which is arranged inside the restrained vehicle, and the sensing module 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 generates an audit update signal according to the vital characteristics data, and updates the predicted driving route of the restrained vehicle based on the audit update signal.

[0018] In one embodiment, an emergency operation button is provided inside the restraint trolley, and the emergency operation button is used to control the emergency braking of the restraint trolley.

[0019] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: An electronic device, comprising a processor and a memory coupled to each other, wherein the memory stores a computer program that can be run on the processor; When the computer program is executed by the processor, the digital-based information audit method described in the first aspect is implemented.

[0020] In summary, the present application includes at least one of the following beneficial technical effects: Based on the constraint, the car will lead the personnel to be identified to various audit locations according to the predicted driving route to complete the audit of each audit location, thereby reducing the frequency of invalid manual occupation and improving overall work efficiency; According to the review level corresponding to each person to be identified, different placement constraint signals are obtained, so that the information entry effect of the person to be identified can be more obvious, and different constraints are obtained for different persons to be identified, so that the entire information entry system is more adaptable and greatly reduces the binding and participation of staff; Based on the audit relevance of the procedures to be audited, different methods of obtaining the predicted driving route are determined, which can reduce the waiting time of the persons to be identified and further improve the overall efficiency of information entry of the persons to be identified. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a block diagram of a digital information review method provided in an embodiment of the present application; Figure 2 is a block diagram of a method for obtaining a predicted driving route provided in an embodiment of the present application; Figure 3 is a block diagram of another method provided by an embodiment of the present application; Figure 4 It is a schematic diagram of the structure of a digital information review system provided in an embodiment of the present application; Figure 5 It is a structural block diagram of the electronic device provided in this embodiment.

[0022] Explanation of the reference numerals: 10, level acquisition module; 20, data processing module; 30, restrained vehicle; 41, processor; 42, memory. DETAILED DESCRIPTION

[0023] To more clearly understand the purpose, technical solutions and advantages of the present application, the present application is described and illustrated below in conjunction with the accompanying drawings and embodiments. However, it should be understood by those of ordinary skill in the art that the present application can be implemented without these details. In some cases, in order to avoid unnecessary descriptions that make the various aspects of the present application obscure, the 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 embodiments disclosed in 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 embodiments shown, but conforms to the broadest scope consistent with the scope claimed for protection of the present application.

[0024] The embodiment of the present application discloses a digital-based information review method, which is applied to an information review system. The system includes a restraint trolley, which is mainly used to place a person to be identified, and a sensor is arranged in the restraint trolley, which can sense that the person to be identified has boarded the trolley, and after the sensor senses that the person to be identified has boarded the trolley, a placement success signal is generated, and the placement success signal is sent to a processor of the information review system, so that the processor performs subsequent data processing after receiving the placement success signal. The placement success signal includes at least personal information, and the personal information includes personal images and personal names, etc.

[0025] like Figure 1 As shown, the digital-based information audit method includes the following steps: S100, obtaining corresponding file information based on personal information, and obtaining the review level corresponding to the person to be identified based on the file information.

[0026] Among them, the archival information represents the information about the case involving the person to be identified. The archival information obtained here can be matched in a preset database according to the personal image in the personal information, and the corresponding comparison cases can be matched, and the corresponding currently reviewed events can be screened out from the comparison cases as the archival information corresponding to the personal information.

[0027] It should be noted here that the preset database stores several groups of comparison cases, which include event circumstances, audit status, and persons involved in the event. The events currently under review can be screened out and confirmed based on the information entered by the staff, or based on the audit status of the comparison events. For some comparison events, the audit status is completed and no alternative is made.

[0028] The audit level represents the importance of the person to be identified in the event. The audit levels include preliminary involvement, moderate involvement, and high involvement. Preliminary involvement represents only being related to the event, which can indicate that the person to be identified did not participate in the event, but was just a passerby who described the event or described the event participant. Moderate involvement represents that the person to be identified participated in the event, but the participation was low, and some preliminary operations could be performed in the event, such as passing messages and running errands, while high involvement represents participation in the decision-making and execution of the event.

[0029] S200, obtaining the program to be reviewed and the review location corresponding to the program to be reviewed based on the review level, and generating a predicted driving route according to the program to be reviewed and the review location.

[0030] Among them, the pending procedures represent the procedures that need to be reviewed for the personnel to be identified, and the review location represents the location of the pending procedures, which can be the number of each room. The predicted driving route represents the route that the personnel to be identified need to travel to complete all the pending procedures, and the predicted driving route can speed up the efficiency of the entire information collection and entry.

[0031] It should be noted here that different persons to be identified have different degrees of involvement in the incident, so the procedures to be reviewed are also different. Therefore, it is necessary to obtain the corresponding procedures to be reviewed according to the review level corresponding to the person to be identified. The specific process of obtaining the procedures to be reviewed here is mainly to screen out the corresponding matching levels in the level matching library based on the review level. The level matching library stores several groups of matching levels, matching programs corresponding to the matching levels, and matching locations corresponding to each matching program. Therefore, after obtaining the matching levels based on the review levels, the matching programs are used as the procedures to be reviewed, and the matching locations are used as the review locations. It should be noted here that the review location and the review procedure are not one-to-one. There may be multiple rooms that implement the same review procedure. Therefore, the level matching library here can be updated in real time according to the actual situation, and the review location set for the procedures to be reviewed on that day can be set.

[0032] When initially generating a predicted driving route, they can be arranged in chronological order, for example, person A to be identified, person B to be identified, and person C to be identified. The audit procedures corresponding to person A to be identified, person B to be identified, and person C to be identified are inquiries, and the inquiries correspond to audit locations A and audit locations B. First, a predicted driving route is generated for person A to be identified, and audit location A is assigned to person A to be identified. Next, a predicted driving route is generated for person B to be identified, and audit location B is assigned to person B to be identified. Finally, a predicted driving route is generated for person C to be identified, and audit location A is assigned to person C to be identified.

[0033] S300, sending the predicted driving route to the constrained vehicle to control the constrained vehicle to transport the person to be identified to the corresponding review location based on the predicted driving route.

[0034] It should be noted here that the processor controls the constrained car to follow the predicted driving route, enter each review room to complete each review procedure, and after completing the information review, determine whether staff intervention is needed. If staff intervention is not required, the next action target can be input to control the constrained car to continue running until the information review of all review procedures is completed. The beginning and end of each action process will have corresponding information records and feedback, that is, the staff only needs to obtain the current situation of the person to be identified through the external video surveillance center and the car's control terminal.

[0035] Specifically, when it is necessary to review and enter the personal information of the person to be identified, the person to be identified is led to the restraint car. After the sensor senses that the person to be identified is successfully seated in the fixed seat, it generates a placement success signal and sends the placement success signal to the processor. The processor obtains the personal information corresponding to the person to be identified based on the placement success information, and screens the personal image of the personal information in the preset database to obtain the corresponding file information. Then, the review level corresponding to the person to be identified is obtained based on the file information, and the review procedure to be reviewed and the review location corresponding to the review procedure to be reviewed are obtained based on the review level, and a predicted driving route is generated based on the review procedure and the review location. The processor sends the generated predicted driving route to the restraint car to control the restraint car to transport the person to be identified to the corresponding review location based on the predicted driving route.

[0036] In one embodiment, after obtaining the review level corresponding to the person to be identified according to the file information, the following steps are also included: S110, comparing the audit level with the preset level, and determining whether the audit level exceeds the preset level.

[0037] S120, 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 constrain the behavior of the person to be identified based on the placement constraint signal.

[0038] The preset level represents the minimum level standard for restricting the behavior of the person to be identified. The placement constraint signal represents the signal for restricting the behavior of the person to be identified.

[0039] Specifically, after the processor obtains the audit level of the person to be identified, it needs to determine whether the restraint vehicle needs to impose behavioral constraints on the person to be identified, that is, to 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 restraint vehicle needs to impose behavioral constraints on the person to be identified. Therefore, the processor will obtain the placement constraint signal based on the audit level, and transmit the placement constraint signal to the restraint vehicle to control the restraint vehicle to impose behavioral constraints on the person to be identified based on the placement constraint signal.

[0040] It should be noted here that the behavior restraint of the person to be identified is mainly to control the person to be identified to sit fixedly in the restraint cart. Of course, when the staff leads the person to be identified to the restraint cart, the staff can also start the restraint operation. Therefore, before the processor compares the review level with the preset level, it can also judge the behavior state of the person to be identified. If the person to be identified is in an unrestrained state, then the review level is compared with the preset level, and the subsequent steps are performed.

[0041] Specifically, the constraints here can be understood as constraints on hands and feet. Constraints are imposed on the feet or legs. In order to limit actions, whether the hands are constrained can be handled flexibly, and the constrained car is not directly controlled by the outside, but is controlled by the set program and processor.

[0042] Reference Figure 2 In one embodiment, generating a predicted driving route according to the program to be reviewed and the review location includes the following steps: S210, obtaining the audit relevance according to the procedure to be audited, comparing the audit relevance with the preset relevance, and determining whether the audit relevance is greater than the preset relevance.

[0043] S220: If the audit correlation is greater than the preset correlation, the order of passing through the audit locations is determined based on the sequence of the procedures to be audited to form a predicted driving route.

[0044] S230: If the audit correlation is not greater than the preset correlation, 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.

[0045] S240, arranging the audit locations in ascending order based on the driving interval, and generating a predicted driving route according to the arranged audit locations.

[0046] Among them, the audit correlation represents the degree of continuous audit between the programs to be audited, and the preset correlation represents the minimum standard for the existence of correlation between the programs to be audited. The audit correlation can be obtained by comparing the relationship between all the programs to be audited. The specific acquisition method is to sort all the programs to be audited according to the general situation, and then audit each program one by one, and judge the coherence relationship between the program and the adjacent previous program. If the program must be audited after the previous program is audited, the audit correlation is updated. In this embodiment, updating the audit correlation is specifically to add the preset value to the audit correlation, and the preset value is set to 5, while the initial audit correlation is 0. When there is a program that is associated with the previous program in the audit, the audit correlation is updated. In this embodiment, the preset correlation is set to 5. It should be noted here that since the program in the first place does not have a previous program, this embodiment can directly judge from the second program when obtaining the audit correlation.

[0047] The current position data represents the current position of the constrained vehicle, and the driving interval represents the distance required for the constrained vehicle to travel from the audit location corresponding to the current position data.

[0048] Exemplarily, the audited procedures a, b and c corresponding to the person to be identified A are generally audited in the following order: a, b and c. First, the audited procedure b is judged. If the audited procedure b can only be audited after the completion of the audited procedure a, the audit correlation degree corresponding to the person to be identified is 5. Then the audited procedure C is judged. If the audited procedure c can only be audited after the completion of the audited procedure a and / or the audited procedure b, the audit correlation degree corresponding to the person to be identified is 10. Therefore, the audit correlation degree corresponding to the person to be identified A is 10. By comparing the audit correlation degree with the preset correlation degree, it is determined that the audit correlation degree is greater than the preset correlation degree.

[0049] It should be noted here that when the pending program c can only be reviewed after the pending program a is completed, the predicted driving route finally generated by the person to be identified A passes through the audit locations corresponding to the pending program a, the pending program b and the pending program c in sequence, or passes through the audit locations corresponding to the pending program a, the pending program c and the pending program b in sequence. When the pending program c can only be reviewed after the pending program b is completed, the predicted driving route finally generated by the identification person A passes through the audit locations corresponding to the pending program a, the pending program b and the pending program c in sequence. When the pending program c can only be reviewed after the pending program a and the pending program b are completed, the predicted driving route finally generated by the identification person A passes through the audit locations corresponding to the pending program a, the pending program b and the pending program c in sequence.

[0050] Exemplarily, the procedures to be reviewed corresponding to the person to be identified B are procedure to be reviewed d, procedure to be reviewed e, and procedure to be reviewed f, and the corresponding review locations are review location d, review location e, and review location f. The general review order is procedure to be reviewed d, procedure to be reviewed e, and procedure to be reviewed f. By judging procedure to be reviewed e and procedure to be reviewed f, it is found that there is no correlation between them. Therefore, it is necessary to obtain the current location data and obtain the intervals with review location d, review location e, and review location f respectively. The corresponding driving intervals are driving interval d, driving interval e, and driving interval f. Driving interval d, driving interval e, and driving interval f are arranged in ascending order according to size, and after arrangement, they are driving interval d, driving interval f, and driving interval e. Therefore, the predicted driving route corresponding to the person to be identified B passes through review location d, review location f, and review location e in sequence.

[0051] Reference Figure 3 In one embodiment, after sending the predicted driving route to the constrained vehicle, the following steps are also included: S400, obtaining the next review procedure and the corresponding driving position based on the predicted driving route, and obtaining the review status according to the review procedure.

[0052] S500, determining whether the audit status corresponding to the audit program is waiting for audit.

[0053] S600: If it is determined that the audit status corresponding to the audit procedure is waiting for audit, the control constraint vehicle is controlled to lead the person to be identified to the driving position based on the predicted driving route.

[0054] S700: If it is determined that the audit status corresponding to the audit program is not waiting for audit, then obtain the unaudited programs according to the programs to be audited, and select the priority audit programs from the unaudited programs.

[0055] S800, update the predicted driving route with the priority review procedure and the corresponding review location to control the vehicle to operate based on the updated predicted driving route.

[0056] Among them, the audit procedure represents the next audit procedure for the person to be identified, the driving position represents the location corresponding to the audit procedure, and the audit status includes waiting for audit, under audit, and unopened audit. Waiting for audit means that the staff corresponding to the audit position is in the space state, under audit means that the staff corresponding to the audit position is in the working state, and unopened audit means that the staff corresponding to the audit position does not conduct the audit of the audit procedure.

[0057] Specifically, the processor obtains the next review procedure and the corresponding driving position based on the predicted driving route, obtains the review status according to the review procedure, and determines whether the review status corresponding to the review procedure is waiting for review. If the review status corresponding to the review procedure is determined to be waiting for review, the restrained vehicle is controlled to lead the person to be identified to the driving position based on the predicted driving route.

[0058] It should be noted here that the priority review program represents the program that can be reviewed with priority. If the review status corresponding to the review program is determined not to be waiting for review, the unreviewed program is obtained based on the pending review program, and the priority review program is screened out from the unreviewed program. The priority review program and the corresponding review location are updated with the predicted driving route to control the vehicle to run based on the updated predicted driving route. The acquisition of the priority review program can be obtained first based on the review relevance, and then based on the driving interval.

[0059] For example, the procedures to be reviewed a, procedures to be reviewed b, procedures to be reviewed c, and procedures to be reviewed d corresponding to the person to be identified A, and the review locations corresponding to the procedures to be reviewed of the person to be identified A correspond to review location a, review location b, review location c, and review location d. When the procedure to be reviewed c can only be reviewed after the end of the procedure to be reviewed a, the predicted driving route finally generated by the person to be identified A passes through the review locations corresponding to the procedures to be reviewed a, procedures to be reviewed b, and procedures to be reviewed c in sequence, and passes through review location a, review location b, and review location c in sequence. When the procedure to be reviewed a is finished, it is found that the corresponding procedure to be reviewed b is not waiting for review. Then, by judging the review correlation corresponding to the procedures to be reviewed d and the procedures to be reviewed c, it is found that there is no difference between the procedures to be reviewed d and the procedures to be reviewed c in order of review. Therefore, the interval between the review location d and the review location c and the current position of the person to be identified is used to obtain the route. The review location c is closest to the current position. Therefore, the review location c is selected as the priority review procedure. The updated predicted driving route passes through the review location c, the review location b, and the review location d, or passes through the review location c, the review location d, and the review location b.

[0060] In one embodiment, obtaining the audit status according to the audit procedure includes the following steps: S410, obtaining the program under review and the corresponding location data based on the predicted driving route, and obtaining the waiting driving time according to the location data and the driving position.

[0061] S420, obtaining the occupied time according to the audit procedure, comparing the occupied time with the waiting time, and determining whether the occupied time is less than the waiting time.

[0062] S430: If the occupied time is less than the waiting time, the review status is set to waiting for review.

[0063] The waiting time represents the time required for the person to be identified to travel from the location data to the driving location, and the occupied time represents the time required for the review procedure to complete. It should be noted that the time calculation here is calculated from the same moment, that is, the time when the processor processes the data. If the occupied time is not less than the waiting time, the review status is set to being reviewed.

[0064] In one embodiment, obtaining the occupied time according to the audit procedure includes the following steps: S421, obtain the current estimated working time according to the review procedure, and obtain the waiting car according to the driving position.

[0065] S422, obtaining the corresponding estimated processing time according to the waiting vehicle, and taking the estimated working time and the estimated processing time as the occupied time.

[0066] Among them, the estimated working time represents the approximate working time required for the audit procedure, which can be estimated based on historical data. The estimated processing time represents the processing time around the audit procedure, and the waiting car represents the car that will arrive at the audit procedure. The estimated processing time can also be estimated based on historical time.

[0067] An embodiment of the present application also discloses a digital-based information review system, which includes a restraint cart and a sensor. The sensor is arranged in the restraint cart. The restraint cart is used to place the person to be identified, and the sensor is used to sense whether the person to be identified in the restraint cart is successfully placed. If the person to be identified is successfully placed, a placement success signal is generated, and the placement success signal includes personal information corresponding to the person to be identified.

[0068] like Figure 4 As shown, the digital information audit system includes a level acquisition module 10 and a data processing module 20, and the data processing module 20 is connected to the level acquisition module 10 through a network. The level acquisition module 10 acquires corresponding file information based on personal information, and acquires the audit level corresponding to the person to be identified based on the file information. The data processing module 20 acquires the program to be audited and the audit location corresponding to the program to be audited based on the audit level, and generates a predicted driving route based on the program to be audited and the audit location. The data processing module 20 sends the predicted driving route to the constraint vehicle, and the constraint vehicle transports the person to be identified to the corresponding audit location based on the predicted driving route until the audit of all programs to be audited is completed.

[0069] The other functions performed in the above-mentioned level acquisition module 10 and data processing module 20 and the technical details of each function are the same or similar to the corresponding features in the digital-based information audit method described above, so they will not be repeated here.

[0070] also, In one of the embodiments, a sensing module is also included. The sensing module is arranged inside the restrained vehicle, and the sensing module is used to monitor the vital characteristic data of the person to be identified, and to send the vital characteristic data to the data processing module 20, so that the data processing module 20 generates an audit update signal according to the vital characteristic data, and updates the predicted driving route of the restrained vehicle based on the audit update signal.

[0071] In one of the embodiments, an emergency operation button is provided inside the restraint trolley, and the emergency operation button is used to control the emergency braking of the restraint trolley.

[0072] It should be noted here that the restraint car 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 unmanned driving.

[0073] Taking into account that the person to be identified may have some urgent needs when riding in the restraint vehicle, the restraint vehicle is also provided with an emergency switch or button, which is set in such a way that it can be touched even if the hand is in a restrained state. The hand restraint generally fixes the wrist, but the fingers can still move, or a voice collection device is provided, so the person to be identified can express his needs through voice. After receiving the request of the person to be identified, the staff can arrange for corresponding processing.

[0074] The embodiment of the present application also discloses an electronic device.

[0075] Reference Figure 5 The electronic device includes a processor and a memory coupled to each other, and the memory stores a computer program that can be run on the processor.

[0076] The computer program implements a digital-based information audit method when executed by a processor.

[0077] The memory 42 may be a ROM or other type of static storage device capable of storing static information and instructions, a random access memory, or other type of dynamic storage device capable of storing information and instructions, or an electrically erasable programmable read-only memory, a read-only optical disc or other optical disc storage, an optical disc storage (including a compact disc, a laser disc, an optical disc, a digital versatile disc, a Blu-ray disc, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium capable of carrying or storing desired program codes in the form of instructions or data structures and capable of being accessed by a computer, but not limited thereto. The memory 42 may be an internal storage unit in some embodiments.

[0078] The processor 41 may 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, for running program codes stored in the memory 42 or processing data.

[0079] The processor 41 and the memory 42 are connected via a bus. The bus may include a path to transmit information between the above components. The bus may be a peripheral component interconnect standard bus or an extended industrial standard structure bus. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0080] Figure 5 Only an electronic device having a memory 42, a processor 41, and a bus is shown, and those skilled in the art can understand that Figure 5 The structure shown does not constitute a limitation on the electronic device, which can be a bus structure or a star structure. The electronic device can also include more or fewer components than shown in the figure, or combine certain components, or deploy different components. Other existing or future electronic devices may be applicable, should also be included in the scope of protection, and are included here by reference.

[0081] The implementation principle is: After the processor obtains the audit level of the person to be identified, it needs to determine whether the restraint vehicle needs to impose behavioral restraints on the person to be identified, that is, to 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 restraint vehicle needs to impose behavioral restraints on the person to be identified. Therefore, the processor will obtain the placement constraint signal based on the audit level, and transmit the placement constraint signal to the restraint vehicle to control the restraint vehicle to impose behavioral restraints on the person to be identified based on the placement constraint signal.

[0082] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the instructions of the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise clearly stated in this document, the execution of these steps is not strictly limited in order and can be performed in other orders.

[0083] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in 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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