CN112381414A - Auxiliary alarm management system based on artificial intelligence - Google Patents
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Abstract
The invention discloses an artificial intelligence-based auxiliary alarm management system, which comprises a registration login module, a task issuing module, a preselection module, a task display module, a task analysis module, a task sequencing module, a screening module, a server, a storage module, a personnel analysis module, a monitoring module and an evaluation module, wherein the registration login module is used for registering a task to be issued; the task analysis module is used for analyzing the inspection tasks to obtain task scores of the inspection tasks; the task sequencing module is used for sequencing the patrol tasks after acquiring the personal information of the auxiliary police, providing reference for the auxiliary police to receive the patrol tasks and improving the task receiving efficiency; the screening module screens out the success of getting the task by the auxiliary policemen with limited number of patrolling persons according to the number of the auxiliary policemen getting the patrolling task, the matching value of the auxiliary policemen and the time point of getting the patrolling task, and avoids the influence on the patrolling quality of the patrolling task caused by the random getting of the task by the auxiliary policemen; encourages the assistant police to work actively and attaches more attention to the patrol task.
Description
Technical Field
The invention relates to the technical field of management systems, in particular to an auxiliary alarm management system based on artificial intelligence.
Background
The auxiliary police team is a team directly commanded and managed by a public security organization, assists the civil police in enforcing law and maintaining public safety, has the functions and the arrangement between the current security guard and the normal police, gives basic authority to the public, is provided with basic police instruments such as spontoons and the like, is mainly from local citizens, and becomes a new occupation by adopting a contract system form.
When the conventional auxiliary police works, most patrol tasks usually need a plurality of auxiliary police personnel to cooperate with patrol because of longer patrol routes or wider patrol range, but the patrol efficiency is lower because the positions and the work of the current auxiliary police personnel cannot be positioned and the corresponding auxiliary police personnel cannot be reasonably distributed according to the patrol tasks, and if the auxiliary police personnel are distributed to uninteresting patrol tasks, the patrol is usually not carried out seriously, so that the working enthusiasm of the auxiliary police personnel is influenced; and other auxiliary police officers interested in the patrol task do not receive the patrol task due to the limitation of the number of people, so that the enthusiasm of the auxiliary police officers is influenced, and the patrol quality of the patrol task is also influenced. Therefore, an auxiliary alarm management system based on artificial intelligence is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an auxiliary alarm management system based on artificial intelligence.
The purpose of the invention can be realized by the following technical scheme:
an artificial intelligence-based auxiliary alarm management system comprises a registration login module, a task release module, a preselection module, a task display module, a task analysis module, a task sequencing module, a screening module, a server, a storage module, a personnel analysis module, a monitoring module and an evaluation module;
the task issuing module is used for issuing patrol task information by the management center;
the preselection module is used for displaying the patrol tasks and allowing the assistant police to choose to browse the patrol tasks and then pick up the patrol tasks or directly pick up the patrol tasks;
the task display module is used for displaying the task brief introduction of the patrol task after the police officer selects to browse a certain patrol task;
the task analysis module is used for analyzing the inspection tasks to obtain task scores Xs of the inspection tasks; the task analysis module is used for transmitting the task score Xs of the inspection task to the server, and the server is used for receiving the task score Xs of the inspection task and transmitting the task score Xs of the inspection task to the storage module for storage;
the task sequencing module is used for sequencing the patrol tasks after acquiring the personal information of the auxiliary police, and the specific sequencing rule is as follows:
s1: acquiring an address in the personal information of the auxiliary police personnel; acquiring an initial position of a patrol route; calculating the distance difference between the initial position and the address of the auxiliary policeman to obtain a task distance and marking the task distance as RL;
s2: acquiring the current number of persons for getting the inspection task and marking the current number of persons as G1, and acquiring the inspection limited number of persons for inspecting the task and marking the inspection limited number as G2;
s3: automatically acquiring the task score Xs of the inspection task from a storage module;
s4: obtaining a preferred value Yc of the patrol task by using a formula Yc which is 1/RL multiplied by b1+ G2 multiplied by b2+ (G2-G1) multiplied by b3+ Xs multiplied by b 4; wherein b1, b2, b3 and b4 are coefficient factors, and G2-G1 represent the remaining required number of the patrol task;
the task sorting module sorts the inspection tasks according to the sequence of the optimal value Yc from large to small to generate an inspection task sorting table; sending the patrol task sequencing table to a server; the server is used for sending the patrol task sequencing list to the preselection module;
the screening module is used for screening out the auxiliary police officers who pick up the patrol task and have limited number of people from the auxiliary police officers who pick up the patrol task to successfully pick up the patrol task.
Further, the registration login module is used for assisting the police personnel to log in personal information through the mobile terminal, then performing registration login and sending the personal information to the server; the server receives the personal information transmitted by the registration login module and transmits the personal information to the database for real-time storage; the personal information includes name, gender, mobile phone number, time of employment and address.
Further, the patrol task information comprises patrol time periods, patrol routes and patrol limit persons; the patrol limiting number is the number of auxiliary police officers required by the patrol task; the patrol time period comprises patrol starting time and patrol finishing time.
Further, the specific analysis steps of the task analysis module are as follows:
the method comprises the following steps: marking a patrol route in the patrol task on a map, calculating to obtain the length of the patrol route, and marking the length of the patrol route as XL;
step two: acquiring a patrol time period in a patrol task, calculating the time difference between the patrol starting time and the patrol finishing time to obtain patrol duration and marking the patrol duration as XT;
step three: dividing 24 hours in 1 day into a plurality of time periods, setting each time period to correspond to a preset value, matching the patrol time period with all the time periods to obtain the preset values corresponding to the patrol time period, and marking the preset values as XA;
step four: the score of the patrol route is set as a preset score C, the corresponding score can be deducted when a score deduction item exists in the patrol route, and the specific judgment process of the score deduction item is as follows:
s41: when the round-turning road section exists in the patrol route, deducting a preset score C1, and marking the number of round-turning times as E1;
s42: when a turning road section exists in the patrol route, deducting a preset fraction C2; label turn number as E2;
s42: when traffic lights exist in the patrol route, deducting a preset fraction C3; label the number of traffic lights as E3;
s43: acquiring a final path score ZC of the patrol route by using a formula ZC of C-C1 × E1 × a1-C2 × E2 × a2-C3 × E3 × a 3; wherein a1, a2 and a3 are all preset coefficients;
step five: acquiring a task score Xs of the patrol task by using a formula Xs which is 1/XL multiplied by A1+1/XT multiplied by A2+ XA multiplied by A3+ ZC multiplied by A4; wherein A1, A2, A3 and A4 are all preset coefficient factors.
Further, the specific working steps of the screening module are as follows:
f1: marking the auxiliary policeman who takes the patrol task as a primary candidate;
judging whether the number of the first-selected persons is larger than the inspection limited number;
f11: if the number of the first-selected personnel is less than or equal to the inspection limiting number, determining that all the first-selected personnel successfully pick up the task, and marking the inspection task as a task to be distributed;
f12: calculating the difference between the number of the inspection limited persons and the number of the persons who successfully pick up the task to obtain the number of the persons to be distributed;
f13: acquiring a patrol time period in patrol task information, acquiring auxiliary policemen in idle state in the patrol time period according to the patrol time period, and marking the auxiliary policemen as to-be-allocated staff;
f14: acquiring a matching value of the personnel to be distributed, and sequencing the personnel to be distributed according to the matching value from high to low;
f14: screening out the number of the staff to be distributed to distribute inspection tasks according to the sequence of the staff to be distributed;
f2: if the number of the first-selected personnel is larger than the inspection limited number, acquiring the matching value of the first-selected personnel;
f3: sorting the primary-selected personnel from high to low according to the matching value;
f4: screening out the success of the primary election task of the inspection limited number according to the sequence of the primary election; the method specifically comprises the following steps:
f41: screening out the primary selected personnel with the matching value higher than a preset matching threshold value, and marking as target personnel;
f42: judging whether the number of target people is larger than the inspection limited number;
if the number of the target personnel is less than or equal to the inspection limited number, screening out the primary personnel who acquire the inspection limited number according to the sequence of the primary personnel to successfully acquire the task;
if the number of the target personnel is larger than the inspection limited number, acquiring a time point when the target personnel receives the inspection task;
f43: sequencing the target personnel according to the time point sequence of the target personnel for getting the inspection tasks;
f44: screening out the success of the target personnel picking task of the inspection limited number of people according to the sequence of the target personnel;
f5: and sending the patrol task information to a mobile phone terminal of an assistant police officer who successfully receives the task.
Further, the personnel analysis module is used for acquiring personnel information of the auxiliary police personnel and analyzing the personnel information; the specific analysis steps are as follows:
FF 1: calculating the time difference between the time of the auxiliary police officer to the current time of the system to obtain the time of the auxiliary police officer to enter the position and marking the time as QF;
FF 2: counting the number of all inspection tasks completed by the auxiliary police in thirty days before the current time of the system and marking the number as the total inspection amount QA;
counting the patrol duration of all patrol tasks completed by the auxiliary police in thirty days before the current time of the system, summing the patrol durations to obtain the total patrol duration, and marking the total patrol duration as QB;
setting the number of current tasks to be patrolled of the auxiliary police personnel as QC;
FF 3: marking the patrol ending time of the patrol task which is completed by the auxiliary policeman for the last time as T1, calculating the time difference between T1 and the current time of the system to obtain the buffer duration of the auxiliary policeman and marking the buffer duration as QT;
FF 4: normalizing the working duration, the total patrol amount, the total patrol duration and the buffering duration of the auxiliary policemen and taking the numerical values of the working duration, the total patrol amount, the total patrol duration and the buffering duration;
using formula QS ═ QF × b6+ QA × b7+ QB × b8+ QT × b9-QC × b 10; acquiring a patrol value QS of an auxiliary police worker; wherein b6, b7, b8, b9 and b10 are all preset proportionality coefficients;
the staff analysis module is used for transmitting the patrol value QS of the auxiliary police staff to the server, and the server is used for receiving the patrol value QS of the auxiliary police staff and transmitting the patrol value QS of the auxiliary police staff to the storage module for storage.
Furthermore, the monitoring module is used for collecting browsing information and communication information of the auxiliary police officers after the patrol tasks are issued and analyzing the browsing information and the communication information to obtain the attention values of the auxiliary police officers to the patrol tasks, and the specific analysis steps are as follows:
DD 1: acquiring browsing information of an auxiliary police worker, wherein the browsing information comprises browsing times and browsing time of the auxiliary police worker on the patrol task;
marking the browsing times of the patrol task by the auxiliary police personnel as Hs; marking the browsing time of the patrol task by the auxiliary police personnel as Ts;
DD 2: obtaining a first interest value Gs of the patrol task by the auxiliary police officer by using a formula Gs ═ Hs × d1+ Ts × d 2; wherein d1 and d2 are preset coefficients;
DD 3: the method comprises the steps that communication information of an auxiliary police worker is obtained, wherein the communication information specifically refers to communication information between the auxiliary police worker and an inspection task publisher after an inspection task is published; the communication information comprises communication times, single communication time length and single communication word number;
accumulating the communication frequency between the auxiliary police personnel and the patrol task publisher to form a communication frequency, and marking the communication frequency as P1;
accumulating the single communication time length between the auxiliary police personnel and the patrol task publisher to form a total communication time length, and marking the total communication time length as P2;
accumulating the single communication word number between the auxiliary police personnel and the patrol task publisher to form a communication total word number, and marking the communication total word number as P3;
DD 4: obtaining a second attention value Gc of the auxiliary police officer to the patrol task by using a formula Gc of P1 × d3+ P2 × d4+ P3 × d 5; wherein d3, d4 and d5 are preset coefficients;
DD 5: normalizing the first interest value Gs and the second interest value Gc and taking the values of the first interest value Gs and the second interest value Gc;
using formulas
Obtaining the attention value GX of the auxiliary police personnel to the patrol task; wherein r1, r2 and r3 are all preset proportionality coefficients, beta is a balance factor, and takes the value 0.2563;
the monitoring module is used for transmitting the concern value GX to the server, and the server is used for receiving the concern value GX and transmitting the concern value GX to the storage module for storage.
Furthermore, the evaluation module is used for acquiring a patrol value QS of an auxiliary police officer and a focus value GX of the auxiliary police officer on the patrol task and performing related processing to obtain a matching value of the auxiliary police officer on the patrol task; the relevant processing steps are as follows:
EE 1: obtaining a blending value QG by using a formula QG-QS × r4+ GX × r5, wherein r4 and r5 are preset proportionality coefficients;
the evaluation module is used for transmitting the matching value QG to the server, and the server is used for transmitting the matching value QG to the screening module and storing the matching value QG to the storage module.
The invention has the beneficial effects that:
1. the invention analyzes the inspection task through the task analysis module; marking a patrol route in the patrol task on a map, and calculating to obtain the length of the patrol route; acquiring a patrol time period in a patrol task to obtain patrol duration; acquiring a preset value corresponding to a patrol time period; combining the deduction items to obtain the final path score of the patrol route; acquiring a task score Xs of the patrol task by using a formula Xs which is 1/XL multiplied by A1+1/XT multiplied by A2+ XA multiplied by A3+ ZC multiplied by A4; then, acquiring an optimal value Yc of the inspection task by combining the task interval, the current number of people to be picked up of the inspection task and the inspection limited number of people; sequencing the inspection tasks according to the sequence of the optimized value Yc from large to small to generate an inspection task sequencing table; the patrol task sequencing table is sent to a preselection module, so that reference is provided for auxiliary policemen to get patrol tasks, and task getting efficiency is improved;
2. according to the method, the auxiliary policemen who check the limited number of people are screened out to successfully receive the patrol task through the screening module according to the number of the auxiliary policemen who receive the patrol task, the matching value of the auxiliary policemen and the time point of receiving the patrol task, so that the condition that the auxiliary policemen randomly receive the task to influence the patrol quality of the patrol task is avoided; the matching value is obtained by combining the attention value of the auxiliary police officer to the patrol task and the patrol value of the auxiliary police officer, the larger the patrol value is, the larger the matching value is, and the larger the attention value is, the larger the matching value is, so that the auxiliary police officer with high patrol value/high attention value to the patrol task can take the task preferentially, and the attention to the patrol task is strengthened in order to encourage the auxiliary police officer to work actively.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Fig. 2 is a system block diagram of embodiment 1 of the present invention.
Fig. 3 is a system block diagram of embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-3, an artificial intelligence-based auxiliary alarm management system includes a registration login module, a task issuing module, a preselection module, a task display module, a task analysis module, a task sorting module, a screening module, a server, a storage module, a personnel analysis module, a monitoring module, and an evaluation module;
the registration login module is used for assisting the police personnel to log in personal information through the mobile terminal and then register and login and send the personal information to the server; the server receives the personal information transmitted by the registration login module and transmits the personal information to the database for real-time storage; the personal information comprises name, gender, mobile phone number, time of employment and address;
example 1
As shown in fig. 2, the task issuing module is configured to issue patrol task information by the management center; wherein the patrol task information comprises a patrol time period, a patrol route and a patrol limit number; the inspection limited number is the number of the auxiliary police personnel required by the inspection task; the patrol time period comprises patrol starting time and patrol finishing time;
the preselection module is used for displaying the patrol tasks and allowing the assistant police to choose to browse the patrol tasks and then pick up the patrol tasks or directly pick up the patrol tasks; through a preselection mode, the auxiliary police can know and think about the patrol task to be taken within a certain time, forced allocation of the patrol task is avoided, the freedom of work of the auxiliary police is improved, and the patrol quality of the patrol task is improved;
the task display module is used for displaying the task brief introduction of the patrol task after the police officer selects to browse a certain patrol task; the task introduction is information such as task description, task notice and peripheral images of a task area;
the task analysis module is used for analyzing the inspection task, and the specific analysis steps are as follows:
the method comprises the following steps: marking a patrol route in the patrol task on a map, calculating to obtain the length of the patrol route, and marking the length of the patrol route as XL;
step two: acquiring a patrol time period in a patrol task, calculating the time difference between the patrol starting time and the patrol finishing time to obtain patrol duration and marking the patrol duration as XT;
step three: dividing 24 hours in 1 day into a plurality of time periods, setting each time period to correspond to a preset value, matching the patrol time period with all the time periods to obtain the preset values corresponding to the patrol time period, and marking the preset values as XA;
if the patrol time period comprises a plurality of time periods, the preset value of the patrol time period is the sum of the preset values of the time periods;
step four: the score of the patrol route is set as a preset score C, the corresponding score can be deducted when a score deduction item exists in the patrol route, and the specific judgment process of the score deduction item is as follows:
s41: when the round-turning road section exists in the patrol route, deducting a preset score C1, and marking the number of round-turning times as E1;
s42: when a turning road section exists in the patrol route, deducting a preset fraction C2; label turn number as E2;
s42: when traffic lights exist in the patrol route, deducting a preset fraction C3; label the number of traffic lights as E3;
s43: acquiring a final path score ZC of the patrol route by using a formula ZC of C-C1 × E1 × a1-C2 × E2 × a2-C3 × E3 × a 3; wherein a1, a2 and a3 are all preset coefficients;
step five: acquiring a task score Xs of the patrol task by using a formula Xs which is 1/XL multiplied by A1+1/XT multiplied by A2+ XA multiplied by A3+ ZC multiplied by A4; wherein A1, A2, A3 and A4 are all preset coefficient factors;
the task analysis module is used for transmitting the task score Xs of the inspection task to the server, and the server is used for receiving the task score Xs of the inspection task and transmitting the task score Xs of the inspection task to the storage module for storage;
the task sequencing module is used for sequencing the patrol tasks after acquiring the personal information of the police assistant personnel, so that the police assistant personnel can select the patrol tasks conveniently, and the specific sequencing rule is as follows:
s1: acquiring an address in the personal information of the auxiliary police personnel; acquiring an initial position of a patrol route; calculating the distance difference between the initial position and the address of the auxiliary policeman to obtain a task distance and marking the task distance as RL;
s2: acquiring the current number of persons for getting the inspection task and marking the current number of persons as G1, and acquiring the inspection limited number of persons for inspecting the task and marking the inspection limited number as G2;
s3: automatically acquiring the task score Xs of the inspection task from a storage module;
s4: obtaining a preferred value Yc of the patrol task by using a formula Yc which is 1/RL multiplied by b1+ G2 multiplied by b2+ (G2-G1) multiplied by b3+ Xs multiplied by b 4; wherein b1, b2, b3 and b4 are coefficient factors, G2-G1 represent the number of the remaining required people of the patrol task, the larger G2-G1 is, the better value Yc is, G2-G1 can be negative number, which represents that the number of the current people to be picked exceeds the number of patrol limit people;
the task sorting module sorts the inspection tasks according to the sequence of the optimal value Yc from large to small to generate an inspection task sorting table; sending the patrol task sequencing table to a server; the server is used for sending the patrol task sequencing list to the preselection module, providing reference for auxiliary policemen to get patrol tasks and improving task getting efficiency;
example 2
As shown in fig. 3, the screening module is configured to screen out, from the auxiliary police officers who pick up the patrol task, that the patrol task is successfully picked up by the auxiliary police officers who pick up the patrol task by a limited number of people; the screening module comprises the following specific working steps:
f1: marking the auxiliary policeman who takes the patrol task as a primary candidate;
judging whether the number of the first-selected persons is larger than the inspection limited number;
f11: if the number of the first-selected personnel is less than or equal to the inspection limiting number, determining that all the first-selected personnel successfully pick up the task, and marking the inspection task as a task to be distributed;
f12: calculating the difference between the number of the inspection limited persons and the number of the persons who successfully pick up the task to obtain the number of the persons to be distributed;
f13: acquiring a patrol time period in patrol task information, acquiring auxiliary policemen in idle state in the patrol time period according to the patrol time period, and marking the auxiliary policemen as to-be-allocated staff;
f14: acquiring a matching value of the personnel to be distributed, and sequencing the personnel to be distributed according to the matching value from high to low;
f14: screening out the number of the staff to be distributed to distribute inspection tasks according to the sequence of the staff to be distributed;
when the number of the persons getting the task does not reach the inspection limiting number, the persons to be distributed who are screened out of the persons to be distributed according to the matching value are added into the inspection task, and the corresponding working enthusiasm of the police officers with high matching value is higher, so that the inspection quality of the inspection task is improved;
f2: if the number of the first-selected personnel is larger than the inspection limited number, acquiring the matching value of the first-selected personnel;
f3: sorting the primary-selected personnel from high to low according to the matching value;
f4: screening out the success of the primary election task of the inspection limited number according to the sequence of the primary election; the method specifically comprises the following steps:
f41: screening out the primary selected personnel with the matching value higher than a preset matching threshold value, and marking as target personnel;
f42: judging whether the number of target people is larger than the inspection limited number;
if the number of the target personnel is less than or equal to the inspection limited number, screening out the primary personnel who acquire the inspection limited number according to the sequence of the primary personnel to successfully acquire the task;
if the number of the target personnel is larger than the inspection limited number, acquiring a time point when the target personnel receives the inspection task;
f43: sequencing the target personnel according to the time point sequence of the target personnel for getting the inspection tasks;
f44: screening out the success of the target personnel picking task of the inspection limited number of people according to the sequence of the target personnel; people often select the favorite task first and then select other tasks, and the time sequence is adopted to screen the policeman-assistant personnel, so that the preference degree of the policeman-assistant personnel on the patrol task can be judged by one more dimension;
f5: and sending the patrol task information to a mobile phone terminal of an assistant police officer who successfully receives the task.
According to the method, the auxiliary policemen who check the limited number of people are screened out to successfully receive the patrol task through the screening module according to the number of the auxiliary policemen who receive the patrol task, the matching value of the auxiliary policemen and the time point of receiving the patrol task, so that the condition that the auxiliary policemen randomly receive the task to influence the patrol quality of the patrol task is avoided; the matching value is obtained by calculating the attention value of the auxiliary police to the patrol task by combining the patrol value of the auxiliary police, the larger the patrol value is, the larger the matching value is, and the larger the attention value is, the larger the matching value is, so that the auxiliary police with high patrol value/high attention value to the patrol task can take the task preferentially, and the attention to the patrol task is strengthened in order to encourage the auxiliary police to work actively;
the personnel analysis module is used for acquiring personnel information of the police assistant personnel and analyzing the personnel information; the specific analysis steps are as follows:
FF 1: calculating the time difference between the time of the auxiliary police officer to the current time of the system to obtain the time of the auxiliary police officer to enter the position and marking the time as QF;
FF 2: counting the number of all inspection tasks completed by the auxiliary police in thirty days before the current time of the system and marking the number as the total inspection amount QA;
counting the patrol duration of all patrol tasks completed by the auxiliary police in thirty days before the current time of the system, summing the patrol durations to obtain the total patrol duration, and marking the total patrol duration as QB;
setting the number of current tasks to be patrolled of the auxiliary police personnel as QC;
FF 3: marking the patrol ending time of the patrol task which is completed by the auxiliary policeman for the last time as T1, calculating the time difference between T1 and the current time of the system to obtain the buffer duration of the auxiliary policeman and marking the buffer duration as QT;
FF 4: normalizing the working duration, the total patrol amount, the total patrol duration and the buffering duration of the auxiliary policemen and taking the numerical values of the working duration, the total patrol amount, the total patrol duration and the buffering duration;
using formula QS ═ QF × b6+ QA × b7+ QB × b8+ QT × b9-QC × b 10; acquiring a patrol value QS of an auxiliary police worker; wherein b6, b7, b8, b9 and b10 are all preset proportionality coefficients;
the staff analysis module is used for transmitting the patrol value QS of the auxiliary police staff to the server, and the server is used for receiving the patrol value QS of the auxiliary police staff and transmitting the patrol value QS of the auxiliary police staff to the storage module for storage;
the monitoring module is used for collecting browsing information and communication information of the auxiliary police officers after the patrol task is issued and analyzing the browsing information and the communication information to obtain the attention value of the auxiliary police officers to the patrol task, and the specific analysis steps are as follows:
DD 1: acquiring browsing information of an auxiliary police worker, wherein the browsing information comprises browsing times and browsing time of the auxiliary police worker on the patrol task;
marking the browsing times of the patrol task by the auxiliary police personnel as Hs; marking the browsing time of the patrol task by the auxiliary police personnel as Ts;
DD 2: obtaining a first interest value Gs of the patrol task by the auxiliary police officer by using a formula Gs ═ Hs × d1+ Ts × d 2; wherein d1 and d2 are preset coefficients;
DD 3: the method comprises the steps that communication information of an auxiliary police worker is obtained, wherein the communication information specifically refers to communication information between the auxiliary police worker and an inspection task publisher after an inspection task is published; the communication information comprises communication times, single communication time length and single communication word number;
accumulating the communication frequency between the auxiliary police personnel and the patrol task publisher to form a communication frequency, and marking the communication frequency as P1;
accumulating the single communication time length between the auxiliary police personnel and the patrol task publisher to form a total communication time length, and marking the total communication time length as P2;
accumulating the single communication word number between the auxiliary police personnel and the patrol task publisher to form a communication total word number, and marking the communication total word number as P3;
DD 4: obtaining a second attention value Gc of the auxiliary police officer to the patrol task by using a formula Gc of P1 × d3+ P2 × d4+ P3 × d 5; wherein d3, d4 and d5 are preset coefficients;
DD 5: normalizing the first interest value Gs and the second interest value Gc and taking the values of the first interest value Gs and the second interest value Gc;
using formulas
Obtaining the attention value GX of the auxiliary police personnel to the patrol task; wherein r1, r2 and r3 are all preset proportionality coefficients, beta is a balance factor, and takes the value 0.2563;
the monitoring module is used for transmitting the concern value GX to the server, and the server is used for receiving the concern value GX and transmitting the concern value GX to the storage module for storage;
the evaluation module is used for acquiring a patrol value QS of an auxiliary police officer and a concern value GX of the auxiliary police officer to the patrol task and performing related processing to obtain a matching value of the auxiliary police officer to the patrol task; the relevant processing steps are as follows:
EE 1: obtaining a blending value QG by using a formula QG-QS × r4+ GX × r5, wherein r4 and r5 are preset proportionality coefficients;
the evaluation module is used for transmitting the matching value QG to the server, and the server is used for transmitting the matching value QG to the screening module and storing the matching value QG to the storage module.
The working principle of the invention is as follows:
an auxiliary alarm management system based on artificial intelligence is characterized in that when the auxiliary alarm management system works, a management center issues patrol task information through a task issuing module, and a task analysis module is used for analyzing patrol tasks; marking a patrol route in the patrol task on a map, and calculating to obtain the length of the patrol route; acquiring a patrol time period in a patrol task to obtain patrol duration; acquiring a preset value corresponding to a patrol time period; combining the deduction items to obtain the final path score of the patrol route; acquiring a task score Xs of the patrol task by using a formula Xs which is 1/XL multiplied by A1+1/XT multiplied by A2+ XA multiplied by A3+ ZC multiplied by A4; then, acquiring an optimal value Yc of the inspection task by combining the task interval, the current number of people to be picked up of the inspection task and the inspection limited number of people; sequencing the inspection tasks according to the sequence of the optimized value Yc from large to small to generate an inspection task sequencing table; the patrol task sequencing table is sent to a preselection module, so that reference is provided for auxiliary policemen to get patrol tasks, and task getting efficiency is improved;
the screening module is used for screening out the auxiliary police officers who take the patrol task and have limited number of people from the auxiliary police officers who take the patrol task to successfully take the patrol task, and marking the auxiliary police officers who take the patrol task as primary candidates; judging whether the number of the first-selected persons is larger than the inspection limited number; if the number of the first-selected personnel is larger than the inspection limited number, acquiring the matching value of the first-selected personnel; sorting the primary-selected personnel from high to low according to the matching value; screening out the success of the primary election task of the inspection limited number according to the sequence of the primary election; if the number of the primary staff is less than or equal to the inspection limiting number, all the primary staff are determined to successfully receive the tasks, the staff to be distributed with the number of the staff to be distributed is screened out from the staff to be distributed according to the matching value and added into the inspection task, the corresponding working enthusiasm of the auxiliary policeman with the high matching value is higher, and the inspection quality of the inspection task is improved; according to the method, the auxiliary policemen who check the limited number of people are screened out to successfully receive the patrol task through the screening module according to the number of the auxiliary policemen who receive the patrol task, the matching value of the auxiliary policemen and the time point of receiving the patrol task, so that the condition that the auxiliary policemen randomly receive the task to influence the patrol quality of the patrol task is avoided; the matching value is obtained by combining the attention value of the auxiliary police officer to the patrol task and the patrol value of the auxiliary police officer, the larger the patrol value is, the larger the matching value is, and the larger the attention value is, the larger the matching value is, so that the auxiliary police officer with high patrol value/high attention value to the patrol task can take the task preferentially, and the attention to the patrol task is strengthened in order to encourage the auxiliary police officer to work actively.
The above formulas are all obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formulas are in accordance with real results.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. An artificial intelligence-based auxiliary alarm management system is characterized by comprising a registration login module, a task issuing module, a preselection module, a task display module, a task analysis module, a task ordering module, a screening module, a server, a storage module, a personnel analysis module, a monitoring module and an evaluation module;
the task issuing module is used for issuing patrol task information by the management center;
the preselection module is used for displaying the patrol tasks and allowing the assistant police to choose to browse the patrol tasks and then pick up the patrol tasks or directly pick up the patrol tasks;
the task display module is used for displaying the task brief introduction of the patrol task after the police officer selects to browse a certain patrol task;
the task analysis module is used for analyzing the inspection tasks to obtain task scores Xs of the inspection tasks; the task analysis module is used for transmitting the task score Xs of the inspection task to the server, and the server is used for receiving the task score Xs of the inspection task and transmitting the task score Xs of the inspection task to the storage module for storage;
the task sequencing module is used for sequencing the patrol tasks after acquiring the personal information of the auxiliary police, and the specific sequencing rule is as follows:
s1: acquiring an address in the personal information of the auxiliary police personnel; acquiring an initial position of a patrol route; calculating the distance difference between the initial position and the address of the auxiliary policeman to obtain a task distance and marking the task distance as RL;
s2: acquiring the current number of persons for getting the inspection task and marking the current number of persons as G1, and acquiring the inspection limited number of persons for inspecting the task and marking the inspection limited number as G2;
s3: automatically acquiring the task score Xs of the inspection task from a storage module;
s4: obtaining a preferred value Yc of the patrol task by using a formula Yc which is 1/RL multiplied by b1+ G2 multiplied by b2+ (G2-G1) multiplied by b3+ Xs multiplied by b 4; wherein b1, b2, b3 and b4 are coefficient factors, and G2-G1 represent the remaining required number of the patrol task;
the task sorting module sorts the inspection tasks according to the sequence of the optimal value Yc from large to small to generate an inspection task sorting table; sending the patrol task sequencing table to a server; the server is used for sending the patrol task sequencing list to the preselection module;
the screening module is used for screening out the auxiliary police officers who pick up the patrol task and have limited number of people from the auxiliary police officers who pick up the patrol task to successfully pick up the patrol task.
2. The artificial intelligence-based auxiliary alarm management system as claimed in claim 1, wherein the registration login module is used for the auxiliary alarm personnel to log in the personal information through the mobile terminal and then to send the personal information to the server; the server receives the personal information transmitted by the registration login module and transmits the personal information to the database for real-time storage; the personal information includes name, gender, mobile phone number, time of employment and address.
3. The artificial intelligence based auxiliary alarm management system of claim 1, wherein the patrol task information includes patrol time period, patrol route and patrol limit number; the patrol limiting number is the number of auxiliary police officers required by the patrol task; the patrol time period comprises patrol starting time and patrol finishing time.
4. The artificial intelligence based auxiliary alarm management system as claimed in claim 1, wherein the task analysis module comprises the following specific analysis steps:
the method comprises the following steps: marking a patrol route in the patrol task on a map, calculating to obtain the length of the patrol route, and marking the length of the patrol route as XL;
step two: acquiring a patrol time period in a patrol task, calculating the time difference between the patrol starting time and the patrol finishing time to obtain patrol duration and marking the patrol duration as XT;
step three: dividing 24 hours in 1 day into a plurality of time periods, setting each time period to correspond to a preset value, matching the patrol time period with all the time periods to obtain the preset values corresponding to the patrol time period, and marking the preset values as XA;
step four: the score of the patrol route is set as a preset score C, the corresponding score can be deducted when a score deduction item exists in the patrol route, and the specific judgment process of the score deduction item is as follows:
s41: when the round-turning road section exists in the patrol route, deducting a preset score C1, and marking the number of round-turning times as E1;
s42: when a turning road section exists in the patrol route, deducting a preset fraction C2; label turn number as E2;
s42: when traffic lights exist in the patrol route, deducting a preset fraction C3; label the number of traffic lights as E3;
s43: acquiring a final path score ZC of the patrol route by using a formula ZC of C-C1 × E1 × a1-C2 × E2 × a2-C3 × E3 × a 3; wherein a1, a2 and a3 are all preset coefficients;
step five: acquiring a task score Xs of the patrol task by using a formula Xs which is 1/XL multiplied by A1+1/XT multiplied by A2+ XA multiplied by A3+ ZC multiplied by A4; wherein A1, A2, A3 and A4 are all preset coefficient factors.
5. A secondary alarm management system based on artificial intelligence as claimed in claim 1, wherein the screening module comprises the following specific working steps:
f1: marking the auxiliary policeman who takes the patrol task as a primary candidate;
judging whether the number of the first-selected persons is larger than the inspection limited number;
f11: if the number of the first-selected personnel is less than or equal to the inspection limiting number, determining that all the first-selected personnel successfully pick up the task, and marking the inspection task as a task to be distributed;
f12: calculating the difference between the number of the inspection limited persons and the number of the persons who successfully pick up the task to obtain the number of the persons to be distributed;
f13: acquiring a patrol time period in patrol task information, acquiring auxiliary policemen in idle state in the patrol time period according to the patrol time period, and marking the auxiliary policemen as to-be-allocated staff;
f14: acquiring a matching value of the personnel to be distributed, and sequencing the personnel to be distributed according to the matching value from high to low;
f14: screening out the number of the staff to be distributed to distribute inspection tasks according to the sequence of the staff to be distributed;
f2: if the number of the first-selected personnel is larger than the inspection limited number, acquiring the matching value of the first-selected personnel;
f3: sorting the primary-selected personnel from high to low according to the matching value;
f4: screening out the success of the primary election task of the inspection limited number according to the sequence of the primary election; the method specifically comprises the following steps:
f41: screening out the primary selected personnel with the matching value higher than a preset matching threshold value, and marking as target personnel;
f42: judging whether the number of target people is larger than the inspection limited number;
if the number of the target personnel is less than or equal to the inspection limited number, screening out the primary personnel who acquire the inspection limited number according to the sequence of the primary personnel to successfully acquire the task;
if the number of the target personnel is larger than the inspection limited number, acquiring a time point when the target personnel receives the inspection task;
f43: sequencing the target personnel according to the time point sequence of the target personnel for getting the inspection tasks;
f44: screening out the success of the target personnel picking task of the inspection limited number of people according to the sequence of the target personnel;
f5: and sending the patrol task information to a mobile phone terminal of an assistant police officer who successfully receives the task.
6. The artificial intelligence based auxiliary alarm management system as claimed in claim 1, wherein the personnel analysis module is used for obtaining personnel information of auxiliary alarm personnel and analyzing the personnel information; the specific analysis steps are as follows:
FF 1: calculating the time difference between the time of the auxiliary police officer to the current time of the system to obtain the time of the auxiliary police officer to enter the position and marking the time as QF;
FF 2: counting the number of all inspection tasks completed by the auxiliary police in thirty days before the current time of the system and marking the number as the total inspection amount QA;
counting the patrol duration of all patrol tasks completed by the auxiliary police in thirty days before the current time of the system, summing the patrol durations to obtain the total patrol duration, and marking the total patrol duration as QB;
setting the number of current tasks to be patrolled of the auxiliary police personnel as QC;
FF 3: marking the patrol ending time of the patrol task which is completed by the auxiliary policeman for the last time as T1, calculating the time difference between T1 and the current time of the system to obtain the buffer duration of the auxiliary policeman and marking the buffer duration as QT;
FF 4: normalizing the working duration, the total patrol amount, the total patrol duration and the buffering duration of the auxiliary policemen and taking the numerical values of the working duration, the total patrol amount, the total patrol duration and the buffering duration;
using formula QS ═ QF × b6+ QA × b7+ QB × b8+ QT × b9-QC × b 10; acquiring a patrol value QS of an auxiliary police worker; wherein b6, b7, b8, b9 and b10 are all preset proportionality coefficients;
the staff analysis module is used for transmitting the patrol value QS of the auxiliary police staff to the server, and the server is used for receiving the patrol value QS of the auxiliary police staff and transmitting the patrol value QS of the auxiliary police staff to the storage module for storage.
7. The artificial intelligence-based auxiliary alarm management system according to claim 1, wherein the monitoring module is configured to collect browsing information and communication information of the auxiliary alarm personnel after the patrol task is issued, analyze the browsing information and the communication information, and obtain a value of attention of the auxiliary alarm personnel to the patrol task, and the specific analysis step is as follows:
DD 1: acquiring browsing information of an auxiliary police worker, wherein the browsing information comprises browsing times and browsing time of the auxiliary police worker on the patrol task;
marking the browsing times of the patrol task by the auxiliary police personnel as Hs; marking the browsing time of the patrol task by the auxiliary police personnel as Ts;
DD 2: obtaining a first interest value Gs of the patrol task by the auxiliary police officer by using a formula Gs ═ Hs × d1+ Ts × d 2; wherein d1 and d2 are preset coefficients;
DD 3: the method comprises the steps that communication information of an auxiliary police worker is obtained, wherein the communication information specifically refers to communication information between the auxiliary police worker and an inspection task publisher after an inspection task is published; the communication information comprises communication times, single communication time length and single communication word number;
accumulating the communication frequency between the auxiliary police personnel and the patrol task publisher to form a communication frequency, and marking the communication frequency as P1;
accumulating the single communication time length between the auxiliary police personnel and the patrol task publisher to form a total communication time length, and marking the total communication time length as P2;
accumulating the single communication word number between the auxiliary police personnel and the patrol task publisher to form a communication total word number, and marking the communication total word number as P3;
DD 4: obtaining a second attention value Gc of the auxiliary police officer to the patrol task by using a formula Gc of P1 × d3+ P2 × d4+ P3 × d 5; wherein d3, d4 and d5 are preset coefficients;
DD 5: normalizing the first interest value Gs and the second interest value Gc and taking the values of the first interest value Gs and the second interest value Gc;
using formulas
Obtaining the attention value GX of the auxiliary police personnel to the patrol task; wherein r1, r2 and r3 are all preset proportionality coefficients, beta is a balance factor, and takes the value 0.2563;
the monitoring module is used for transmitting the concern value GX to the server, and the server is used for receiving the concern value GX and transmitting the concern value GX to the storage module for storage.
8. The artificial intelligence based auxiliary alarm management system according to claim 1, wherein the evaluation module is configured to obtain a QS value of an auxiliary alarm person and a GX value of the auxiliary alarm person concerning the patrol task, and perform correlation processing to obtain a value of the auxiliary alarm person concerning the patrol task; the relevant processing steps are as follows:
EE 1: obtaining a blending value QG by using a formula QG-QS × r4+ GX × r5, wherein r4 and r5 are preset proportionality coefficients;
the evaluation module is used for transmitting the matching value QG to the server, and the server is used for transmitting the matching value QG to the screening module and storing the matching value QG to the storage module.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113096268A (en) * | 2021-04-08 | 2021-07-09 | 深圳鸿祥源科技有限公司 | Patrol instrument monitoring system and method based on 5G network |
| CN115457752A (en) * | 2022-08-29 | 2022-12-09 | 江苏航空职业技术学院 | Intelligent explosion-proof early warning system for security inspection |
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2020
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113096268A (en) * | 2021-04-08 | 2021-07-09 | 深圳鸿祥源科技有限公司 | Patrol instrument monitoring system and method based on 5G network |
| CN113096268B (en) * | 2021-04-08 | 2022-06-28 | 深圳鸿祥源科技有限公司 | Patrol instrument monitoring system and method based on 5G network |
| CN115457752A (en) * | 2022-08-29 | 2022-12-09 | 江苏航空职业技术学院 | Intelligent explosion-proof early warning system for security inspection |
| CN115457752B (en) * | 2022-08-29 | 2023-10-03 | 江苏航空职业技术学院 | Intelligent explosion-proof early warning system for security inspection |
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