CN106855963B - Data processing method and device for guiding police force deployment - Google Patents
Data processing method and device for guiding police force deployment Download PDFInfo
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Abstract
The invention relates to a data processing method and a data processing device for guiding police force deployment, wherein the method comprises the following steps: acquiring a region selection instruction triggered by a device for executing human account login in a police deployment operation page; determining a gridding area according to the area selection instruction; acquiring the high-alarm-condition area data, the high-alarm-condition time period and the high-alarm-condition type corresponding to the gridding area to generate an alarm deployment suggestion; sending the police deployment suggestion to the device, and enabling the device to display the police deployment suggestion on the police deployment operation page. The data processing method and the data processing device for guiding police force deployment improve the efficiency of police force deployment work and enable the finally completed police force deployment to be more scientific and reasonable.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a data processing method and device for guiding police force deployment.
Background
Patrolmen in public security departments need to patrol the administered region regularly to perform service, prevent various public security hidden dangers, handle various emergency events such as robbery and man killing events, and maintain the public security stably. With the development of society, the higher requirements for patrol work are continuously put forward. At present, police force deployment is mainly completed by manually making decisions and manually allocating police force by using modern communication equipment such as radio and the like. However, the current police deployment mode through manual decision is too dependent on the person who makes the decision, which is not efficient, and is easy to cause the situation of unreasonable deployment, and needs to be improved.
Disclosure of Invention
Therefore, it is necessary to provide a data processing method and device for guiding police deployment to solve the problem that the existing manner of police deployment through manual decision-making is too dependent on the person who makes the decision, resulting in low efficiency.
A data processing method of guiding police deployment, the method comprising:
acquiring a region selection instruction triggered by a device for executing human account login in a police deployment operation page;
determining a gridding area according to the area selection instruction;
acquiring the high-alarm-condition area data, the high-alarm-condition time period and the high-alarm-condition type corresponding to the gridding area to generate an alarm deployment suggestion;
sending the police deployment suggestion to the device, and enabling the device to display the police deployment suggestion on the police deployment operation page.
In one embodiment, the police deployment recommendation includes police personnel attributes, equipment attributes, territory attributes, and time attributes of the proposed deployment.
In one embodiment, the method further comprises:
regularly acquiring the high-alarm-condition area data, the high-alarm-condition time period, the high-alarm-condition type and the high-alarm-condition deployment information corresponding to the gridding area to calculate the high-alarm-condition matching degree;
if the alarm condition matching degree is lower than the preset matching degree, the alarm condition matching degree is judged to be lower than the preset matching degree
Generating a police deployment adjustment recommendation;
and sending the police force deployment adjustment suggestion to the equipment for displaying, and/or sending the police force deployment adjustment suggestion to a communication terminal corresponding to the police force deployment executor account.
In one embodiment, the method further comprises:
receiving a police deployment adjustment command triggered by the device in response to a police deployment adjustment recommendation presented by the device;
responding to the police deployment adjustment command, and adjusting the police deployment information according to the police deployment adjustment suggestion, wherein the police deployment adjustment suggestion comprises an identification of a deployed police officer;
and generating a police force adjustment notice matched with the police force deployment adjustment suggestion, and sending the notice to a mobile terminal corresponding to the police officer identification.
In one embodiment, the method further comprises:
counting a first alarm degree matching degree in the current evaluation period, and comparing the first alarm degree matching degree with a second alarm degree matching degree in the previous evaluation period;
if the first alarm degree matching degree is larger than the second alarm degree matching degree, adding a basic score generated according to the first alarm degree matching degree and adding a score to generate an alarm deployment evaluation value in the current evaluation period;
if the first alarm condition matching degree is smaller than the second alarm condition matching degree, subtracting a subtraction value from a basic value generated according to the first alarm condition matching degree to generate an alarm deployment evaluation value in the current evaluation period;
and providing a query interface for the police force deployment evaluation value.
According to the data processing method for guiding the police force deployment, the police force deployment executor logs in the equipment, after the gridding area is selected through the police force deployment operation page, the police force deployment suggestion can be automatically displayed on the police force deployment operation page, and the police force deployment executor can completely receive the police force deployment suggestion or modify the police force deployment suggestion, so that the police force deployment work can be completed, and the efficiency of the police force deployment work is improved. And the police force deployment suggestion is generated according to quantitative data of the high-alarm-rate region data, the high-alarm-rate time period and the high-alarm-rate type, and the police force deployment requirement in the gridding region can be accurately reflected, so that the finally completed police force deployment is more scientific and reasonable.
A data processing apparatus for guiding police deployment, the apparatus comprising:
the region selection instruction receiving module is used for acquiring a region selection instruction triggered by a device for executing the login of the human account in the police deployment operation page;
the gridding area determining module is used for determining a gridding area according to the area selection instruction;
the warning deployment suggestion generation module is used for acquiring the warning high-occurrence region data, the warning high-occurrence time period and the warning high-occurrence type corresponding to the gridding region to generate a warning deployment suggestion;
and the police deployment suggestion sending module is used for sending the police deployment suggestion to the equipment, so that the equipment displays the police deployment suggestion on the police deployment operation page.
In one embodiment, the police deployment recommendation includes police personnel attributes, equipment attributes, territory attributes, and time attributes of the proposed deployment.
In one embodiment, the apparatus further comprises:
the matching degree regular statistic module is used for regularly counting the matching degree of the police force and the police condition;
the police force deployment adjustment suggestion generation module is used for generating a police force deployment adjustment suggestion if the police force and police force matching degree is lower than a preset matching degree;
and the police force deployment adjustment suggestion sending module is used for sending the police force deployment adjustment suggestion to the equipment for displaying, and/or sending the police force deployment adjustment suggestion to a communication terminal corresponding to the police force deployment executor account.
In one embodiment, the apparatus further comprises:
the police deployment adjustment command receiving module is used for receiving a police deployment adjustment command triggered by the device in response to the police deployment adjustment suggestion displayed by the device;
the police force deployment adjustment module is used for responding to the police force deployment adjustment command and adjusting the police force deployment information according to the police force deployment adjustment suggestion, and the police force deployment adjustment suggestion comprises the identification of deployed police officers;
and the notification module is used for generating a police force adjustment notification matched with the police force deployment adjustment suggestion and sending the notification to the mobile terminal corresponding to the police officer identifier.
In one embodiment, the apparatus further comprises:
the device comprises an evaluation period matching degree counting module, a comparison module and a comparison module, wherein the evaluation period matching degree counting module is used for counting the first alarm degree matching degree in the current evaluation period and comparing the first alarm degree matching degree with the second alarm degree matching degree in the previous evaluation period;
the warning deployment evaluation value generation module is used for increasing a basic score generated according to the first warning situation matching degree by adding the score to generate a warning deployment evaluation value in the current evaluation period if the first warning situation matching degree is greater than the second warning situation matching degree; if the first alarm condition matching degree is smaller than the second alarm condition matching degree, subtracting a subtraction value from a basic value generated according to the first alarm condition matching degree to generate an alarm deployment evaluation value in the current evaluation period;
and the query interface module is used for providing a query interface for the police deployment evaluation value.
According to the data processing device for guiding the police force deployment, the police force deployment executor logs in the equipment, after the gridding area is selected through the police force deployment operation page, the police force deployment suggestion can be automatically displayed on the police force deployment operation page, and the police force deployment executor can completely receive the police force deployment suggestion or modify the police force deployment suggestion, so that the police force deployment work can be completed, and the efficiency of the police force deployment work is improved. And the police force deployment suggestion is generated according to quantitative data of the high-alarm-rate region data, the high-alarm-rate time period and the high-alarm-rate type, and the police force deployment requirement in the gridding region can be accurately reflected, so that the finally completed police force deployment is more scientific and reasonable.
Drawings
FIG. 1 is a diagram of an embodiment of an environment in which a police deployment assistance system may be used;
FIG. 2 is a flow diagram of a data processing method for guiding police deployment in one embodiment;
FIG. 3 is a flow diagram that illustrates the data processing steps for guiding adjustment of police deployment, in one embodiment;
FIG. 4 is a flow diagram illustrating the steps of police force adjustment and notification in one embodiment;
FIG. 5 is a flow diagram that illustrates the steps of police deployment evaluation in one embodiment;
FIG. 6 is a block diagram of a data processing device to direct police deployment in one embodiment;
fig. 7 is a block diagram of a data processing apparatus for guiding police deployment in another embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, in one embodiment, a police deployment assistance system is provided, comprising a server 101, a device 102 and a mobile terminal 103. The server 101 may be a standalone physical server or server cluster, the device 102 may be a computer or a mobile terminal, and the mobile terminal 103 includes at least one of a cell phone, a tablet, a Personal Digital Assistant (PDA), and a wearable smart device, such as a smart watch, a belt with electronics, or smart glasses.
As shown in fig. 2, in an embodiment, a data processing method for guiding police deployment is provided, and this embodiment is exemplified by applying the method to the server 101 in the police deployment assistance system in fig. 1, where the method specifically includes the following steps:
The police force comprises police officers and equipment required by the police officers for working, such as communication equipment, weapons, police cars and the like. Deployment of police force is where a particular police officer is scheduled to perform police work at a specified location and at a specified time.
The police force deployment executor account is an account with the authority role of the police force deployment executor, and is used by an actual police force deployment executor, the police force deployment executor refers to a person who executes the police force deployment, and the authority role of the police force deployment executor has the authority for executing the police force deployment operation.
And the server operates the police deployment system, and after the police deployment executor logs in the equipment through the police deployment executor account, the police deployment executor accesses the police deployment system and then enters the police deployment operation page. The police deployment operation page is used for triggering police deployment operations, including operations of determining a gridding area. The gridding area is a region which needs to be patrolled and is manually divided into a plurality of blocks, and each block is called as a gridding area.
The region selection instruction may be an instruction for selecting from an existing set of the meshed regions, or an instruction for dividing and selecting the meshed regions in real time. The specific equipment can display an urban area map on an police deployment operation page, after a gridding division instruction is detected, a gridding area is divided from the urban area map according to the network division instruction, and then the operation on the divided gridding area is detected to trigger an area selection instruction.
And step 204, determining a gridding area according to the area selection instruction.
In particular, the server may determine, based on the region selection instructions, a selected gridded region that is a region where police deployment is desired.
And step 206, acquiring the high-alarm-rate region data, the high-alarm-rate time period and the high-alarm-rate type corresponding to the gridding region to generate an alarm deployment suggestion.
Specifically, the warning condition refers to an emergency event that requires the police to maintain social stability after public security and crime events occur in the society, or an event that endangers public safety, and the warning quantity refers to the number of the events. The warning high-occurrence area data refers to data related to an area with the warning amount higher than a preset warning amount threshold value in a specific time period, and includes at least one of geographical distribution and area size of the area. The high-alarm time period refers to a specific time period, and the alarm amount in the time period exceeds a preset alarm amount threshold value. The type of high-alarm is a type of alarm in which the alarm amount exceeds a preset alarm amount threshold, such as a type of theft event or a type of robbery event.
The acquired data used for generating the police force deployment advice may be preferably counted in a historical police force deployment cycle adjacent to the current police force deployment cycle, such as the last police force deployment cycle or the first two police force deployment cycles, the police force deployment cycle refers to a work of periodically performing police force deployment, such as weekly or monthly police force deployment, and the generated police force deployment advice may be more accurate by referring to the periodic high warning region data, the high warning time period, and the high warning type.
In one embodiment, the police deployment recommendation includes police personnel attributes, equipment attributes, territory attributes, and time attributes of the recommended deployment. Wherein the police officer attributes are such as the number of police officers, the position of the police officer, or the age of the police officer; equipment attributes such as whether to carry weapons, weapon type, weapon quantity, whether to use a car or whether to carry a police dog, etc.; time attributes such as monday afternoon 15: 00 to night 21: 00; territorial attributes such as XXXX streets.
Under the condition of considering a single factor, in a networked area, the number of police officers in the high-warning-condition areas is more than that in the non-high-warning-condition areas, the number of the police officers in the high-warning-condition time periods is more than that in the non-high-warning-condition time periods, and the number of the police officers needing to be deployed, of which the high-warning-condition types are serious crime types, is correspondingly increased. Moreover, in areas with high alarm, periods of high alarm, or types of high alarm are serious crime types, requiring high-level officers, more powerful equipment attributes. The time attribute can be determined according to the time period of high-alarm, and the region attribute can be determined according to the data of the high-alarm region.
The data of the high-alarm-condition region, the high-alarm-condition time period and the high-alarm-condition type form a mapping relation with the attributes of the police officers, the attributes of the equipment, the attributes of the regions and the attributes of the time in the high-alarm-condition deployment suggestion, a mathematical model can be established to express the relation, and then after the data of the high-alarm-condition region, the high-alarm-condition time period and the high-alarm-condition type are input into the mathematical model, the attributes of the police officers, the attributes of the equipment, the attributes of the regions and the attributes of the time in the high-alarm-condition deployment suggestion are output by the mathematical model.
And step 208, sending the police deployment suggestion to the equipment, so that the equipment displays the police deployment suggestion on a police deployment operation page.
Specifically, after generating the police deployment advice, the server sends the police deployment advice to the device, and the device displays the police deployment advice in a preset area of a police deployment operation page. The preset area is, for example, the upper right corner, the lower right corner of the police deployment operation page or other areas which do not affect the police deployment operation. The device may also present police deployment advice in the form of a floating layer or pop-up window.
The device may obtain an operation instruction triggered in the police deployment operation page, thereby generating police deployment information. The device may also detect an instruction to accept the police deployment recommendation, and generate corresponding police deployment information directly in accordance with the police deployment recommendation based on the instruction. Police deployment information is stored on a server.
According to the data processing method for guiding the police force deployment, the police force deployment executor logs in the equipment, after the gridding area is selected through the police force deployment operation page, the police force deployment suggestion can be automatically displayed on the police force deployment operation page, and the police force deployment executor can completely receive the police force deployment suggestion or modify the police force deployment suggestion, so that the police force deployment work can be completed, and the efficiency of the police force deployment work is improved. And the police force deployment suggestion is generated according to quantitative data of the high-alarm-rate region data, the high-alarm-rate time period and the high-alarm-rate type, and the police force deployment requirement in the gridding region can be accurately reflected, so that the finally completed police force deployment is more scientific and reasonable.
As shown in fig. 3, in an embodiment, the data processing method for guiding police deployment further includes a data processing step of guiding to adjust the police deployment, and specifically includes the following steps:
step 302, periodically acquiring the high-alarm-condition area data, the high-alarm-condition time period, the high-alarm-condition type and the high-alarm-condition deployment information corresponding to the gridding area to calculate the high-alarm-condition matching degree.
Specifically, the periodic acquisition refers to acquisition at preset time intervals or at preset time points. The alarm force and alarm condition matching degree is the matching degree of the alarm force deployment information configured by the alarm force deployment executor and the alarm condition related data in the gridding area, and the matching degree is the quantitative measurement of the matching degree. The warning situation related data comprises warning situation high-rate region data, warning situation high-rate time periods and warning situation high-rate types.
In an embodiment, the server may input the warning high-occurrence region data, the warning high-occurrence time period, and the warning high-occurrence type corresponding to the regularly acquired gridding region into a mathematical model for generating warning deployment and establishing to obtain a corresponding warning deployment suggestion, so as to calculate the matching degree between the obtained warning deployment suggestion and the warning deployment information, and obtain the warning matching degree. At this time, the alert matching degree can be calculated by using an algorithm for calculating the similarity. The alarm force and alarm condition matching degree reflects the difference between the obtained alarm force deployment suggestion and the alarm force deployment information, the alarm force and alarm condition matching degree with small difference is large, and the alarm force and alarm condition matching degree with large difference is small.
In one embodiment, when the alert condition matching degree is calculated, the alert condition high-occurrence region data, the alert condition high-occurrence time period and the proportion of the alert condition high-occurrence type in the alert condition matching degree calculation can be adjusted according to needs, and the calculated alert condition matching degree can reflect the matching degree of the alert condition with the alert condition deployment information at different side weight points according to the situation so as to adapt to different requirements.
And 304, if the alarm condition matching degree is lower than the preset matching degree, generating an alarm deployment adjustment suggestion.
Specifically, the preset matching degree is not lower than a tolerable range of the preset alarm force and alarm condition matching degree, and when the preset matching degree is lower than the preset matching degree, the alarm force and the alarm condition are greatly different, the alarm force deployment is unreasonable, and adjustment is needed, so that an alarm force deployment adjustment suggestion is generated.
In one embodiment, the server may input periodically acquired data into the police deployment advice obtained by the mathematical model for generating the police deployment establishment, compare the obtained police deployment advice with the police deployment information, find out attributes of the difference, or find out attributes of the difference exceeding a tolerable range, and generate the police deployment adjustment advice according to the found attributes. The attributes found include police personnel attributes, equipment attributes, regional attributes, and time attributes that suggest adjustments to the deployment.
And step 306, sending the police force deployment adjustment suggestion to the equipment for displaying, and/or sending the police force deployment adjustment suggestion to a communication terminal corresponding to the police force deployment executor account.
Specifically, the server sends the police deployment adjustment suggestion to a device logged in by a police deployment executor account, or a pre-registered communication terminal corresponding to the police deployment executor account, such as a mobile phone.
The device may display the police deployment adjustment recommendation in a preset area of the police deployment operations page. The preset area is, for example, the upper right corner, the lower right corner of the police deployment operation page or other areas which do not affect the police deployment operation. The device may also present police deployment adjustment recommendations in the form of a floating floor or pop-up window.
The device can acquire the operation instruction triggered in the police deployment operation page, so as to update the police deployment information. The device may also detect an instruction to accept the police deployment adjustment recommendation, and update corresponding police deployment information directly according to the police deployment adjustment recommendation based on the instruction.
In the embodiment, the data related to the police strength in the gridding area is periodically acquired, so that the police strength deployment information is combined to generate the police strength matching degree, the police strength deployment adjustment suggestion is generated when the police strength matching degree is too low to inform the police strength deployment executor, the dynamic change in the gridding area can be fed back to the police strength deployment executor to perform corresponding processing after the police strength deployment is completed, the efficiency of the police strength deployment adjustment is improved, and the police strength deployment executor is guided to scientifically and reasonably adjust the police strength deployment through the police strength deployment adjustment suggestion.
As shown in fig. 4, in an embodiment, the data processing method for guiding police deployment further includes a step of police adjustment and notification, which specifically includes the following steps:
at step 402, a police deployment adjustment command triggered by the device in response to the police deployment adjustment recommendation displayed by the device is received.
Specifically, the device may display an acceptance button when the police deployment adjustment advice is presented, trigger a police deployment adjustment command upon detecting a click of the acceptance button, and send the police deployment adjustment command to the server. Of course, the device may also trigger the police deployment adjustment command according to the police deployment operation triggered in the police deployment operation page.
Specifically, the server responds after receiving the police deployment adjustment command, and adjusts at least one of police personnel attributes, equipment attributes, region attributes and time attributes in the police deployment information according to the police deployment adjustment suggestion.
And step 406, generating a police force adjustment notification matched with the police force deployment adjustment suggestion, and sending the notification to the mobile terminal corresponding to the police force deployment adjustment suggestion.
When the police force deployment adjustment suggestion includes the identifier of the deployed police personnel, the police force deployment adjustment suggestion indicates that the attributes of the police personnel in the police force deployment information need to be adjusted, and the deployed police personnel need to be deployed to a specified region and a specified time period according to a superior command to process police work. The police adjustment notification includes adjustment information related to the deployed police officer including at least one of equipment attributes, regional attributes, and time attributes. After receiving the reply information for confirming the adjustment fed back by the mobile terminal, the server can update the state of the police strength adjustment notice to be received, so that the corresponding adjusted police strength deployment information takes effect.
In this embodiment, after the police deployment executor adjusts the police deployment information, the server may notify the relevant police officers in real time, so as to guide the police deployment adjustment to be performed as soon as possible, thereby improving the efficiency of the police deployment adjustment.
As shown in fig. 5, in an embodiment, the data processing method for guiding police deployment further includes a step of evaluating police deployment, which specifically includes the following steps:
Specifically, the alarm degree matching degree in the current evaluation period is referred to as a first alarm degree matching degree, and the alarm degree matching degree in the current evaluation period, that is, the last evaluation period is referred to as a second alarm degree matching degree. The evaluation period is, for example, one week, two weeks, one month, or the like.
And step 504, if the first alarm degree matching degree is greater than the second alarm degree matching degree, adding the basic score generated according to the first alarm degree matching degree and the score to generate an alarm deployment evaluation value in the current evaluation period.
Specifically, the basic score may be directly the first alert condition matching degree, or may be a value generated according to the first alert condition matching degree, such as adding, subtracting, multiplying, or dividing a fixed value to, or from, the first alert condition matching degree. The added value is a positive value, and when the first alarm matching degree is greater than the second alarm matching degree, the server increases the added value on the basis of the basic value to serve as the alarm deployment evaluation value in the current evaluation period. The added value may be a fixed value or a variable value positively correlated with a first matching degree difference value, where the first matching degree difference value is a difference between the first alert situation matching degree and the second alert situation matching degree.
Specifically, the score reduction value is also a positive value, and when the first warning situation matching degree is smaller than the second warning situation matching degree, the server subtracts the score reduction value on the basis of the basic score as the warning deployment evaluation value in the current evaluation period. The subtraction value can be a fixed value or a variable value positively correlated with a second matching degree difference value, wherein the second matching degree difference value is a difference value between the second alarm degree matching degree and the first alarm degree matching degree.
Specifically, the server may provide a query interface to the device, the mobile terminal, and the third-party server, so that the user with authority may query the police deployment evaluation value.
In the embodiment, the police deployment condition is evaluated by using the basic score generated according to the first police situation matching degree in the evaluation period, so that whether the police deployment is reasonable or not can be accurately reflected. And the increase or the retreat of the police force deployment capacity compared with the last evaluation period can be reflected through the addition and subtraction, and the police force deployment evaluation value can finally reflect the change of the police force deployment capacity and the police force deployment capacity.
In a specific application scenario, XXX sends out the received deployment police force task, and the police force deployment executor logs in the system to deploy the patrol police force in the unit. When a gridding area is divided and patrol members are added, a window pops up at the upper right of the system to prompt' the deployment suggestion: because of this regional, the time interval in last week alarm condition take place more, have the potential safety hazard, propose to add X patroller, wherein X special police, X patroller: carrying XXX weaponry: the XXXX period strengthens patrol density at the XXX section. And the police force deployment executor reasonably arranges the deployment police force according to the suggestion.
After several days, the mobile phone of the police deployment executor receives the short message to remind: "you are just! You have sent the service offerings at the post XXX beyond deployment criteria. Please log in the system adjustment as soon as possible. The adjustment proposal is as follows: since XXX region 11:00 to 3: during the period of 00, a plurality of gun-holding robberies occur, and XX police force is recommended to be added to the XXX road section, and XXX equipment is carried. Thanks to the fact that! After the police deployment executor logs in the system, the information of the pop-up window is seen, and the police deployment is adjusted immediately. The allocated police officer receives the short message notification through the mobile phone, and the content is as follows: "region 11:00 to 3 due to XXX: during the 00 period, multiple-start gun-holding robbery occurs. You have been dispatched to the place to be responsible for patrol tasks and wear XXX equipment. A reply request is received. And (5) the police personnel replies: "received", the system automatically updates the status of the transmitted message as received.
As shown in fig. 6, in one embodiment, a data processing apparatus 600 for guiding police deployment comprises: the system comprises a region selection instruction receiving module 601, a gridding region determining module 602, a police force deployment suggestion generating module 603 and a police force deployment suggestion sending module 604.
The area selection instruction receiving module 601 is configured to obtain an area selection instruction triggered by a police deployment executive human account login device on a police deployment operation page.
A gridding area determining module 602, configured to determine a gridding area according to the area selection instruction.
The alert deployment suggestion generation module 603 is configured to obtain alert high-occurrence region data, an alert high-occurrence time period, and an alert high-occurrence type corresponding to the gridding region to generate an alert deployment suggestion.
The police deployment suggestion sending module 604 is configured to send the police deployment suggestion to the device, so that the device displays the police deployment suggestion on the police deployment operation page.
In one embodiment, the police deployment recommendation includes police personnel attributes, equipment attributes, territory attributes, and time attributes of the recommended deployment.
As shown in fig. 7, in one embodiment, the data processing apparatus 600 for guiding police deployment further comprises: a matching degree periodic statistics module 605, a police deployment adjustment suggestion generation module 606, and a police deployment adjustment suggestion transmission module 607.
And a matching degree regular statistic module 605 for regularly counting the matching degree of the police condition.
And a police force deployment adjustment suggestion generating module 606, configured to generate a police force deployment adjustment suggestion if the police force and police force matching degree is lower than the preset matching degree.
The police force deployment adjustment suggestion sending module 607 is configured to send the police force deployment adjustment suggestion to the device for displaying, and/or send the police force deployment adjustment suggestion to a communication terminal corresponding to the police force deployment executor account.
In one embodiment, data processing apparatus 600 for guiding police deployment further comprises: police deployment adjustment command receiving module 608, police deployment adjustment module 609, and notification module 610.
Police deployment adjustment command receiving module 608 is configured to receive a police deployment adjustment command triggered by the device in response to the police deployment adjustment recommendation displayed by the device.
And the police deployment adjusting module 609 is configured to adjust the police deployment information according to the police deployment adjustment advice in response to the police deployment adjustment command, where the police deployment adjustment advice includes an identifier of the deployed police officer.
And the notification module 610 is used for generating a police force adjustment notification matched with the police force deployment adjustment suggestion and sending the notification to the mobile terminal corresponding to the police officer identifier.
In one embodiment, data processing apparatus 600 for guiding police deployment further comprises: a matching degree statistic module 611 in the evaluation period, a police deployment evaluation value generation module 612 and a query interface module 613.
The intra-evaluation period matching degree statistic module 611 is configured to count a first warning degree matching degree in a current evaluation period, and compare the first warning degree matching degree with a second warning degree matching degree in a previous evaluation period.
The police deployment evaluation value generating module 612 is configured to, if the first police situation matching degree is greater than the second police situation matching degree, increase the basic score generated according to the first police situation matching degree by adding the score to generate a police deployment evaluation value in the current evaluation period. And if the first alarm condition matching degree is smaller than the second alarm condition matching degree, subtracting the subtracted value from the basic value generated according to the first alarm condition matching degree to generate the alarm deployment evaluation value in the current evaluation period.
And a query interface module 613, configured to provide a query interface for the police deployment evaluation value.
According to the data processing device 600 for guiding police force deployment, the police force deployment executor logs in the device, after the gridding area is selected through the police force deployment operation page, the police force deployment suggestion can be automatically displayed on the police force deployment operation page, and the police force deployment executor can completely receive the police force deployment suggestion or modify the police force deployment suggestion, so that the police force deployment work can be completed, and the efficiency of the police force deployment work is improved. And the police force deployment suggestion is generated according to quantitative data of the high-alarm-rate region data, the high-alarm-rate time period and the high-alarm-rate type, and the police force deployment requirement in the gridding region can be accurately reflected, so that the finally completed police force deployment is more scientific and reasonable.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A data processing method of guiding police deployment, the method comprising:
acquiring a region selection instruction triggered by a device for executing human account login in a police deployment operation page;
determining a gridding area according to the area selection instruction;
acquiring high-alarm-condition area data, high-alarm-condition time periods and high-alarm-condition types corresponding to the gridding area, inputting the high-alarm-condition area data, the high-alarm-condition time periods and the high-alarm-condition types into a high-alarm-condition deployment suggestion generation model, and generating high-alarm-condition deployment suggestions corresponding to the gridding area; the police deployment recommendation comprises a police officer attribute, an equipment attribute, a region attribute and a time attribute; the police deployment suggestion generation model is established based on mapping relations among the police high-rate region data, the police high-rate time period, the police high-rate type, the police personnel attribute, the equipment attribute, the region attribute and the time attribute;
sending the police deployment suggestion to the device, and enabling the device to display the police deployment suggestion on the police deployment operation page.
2. The method of claim 1, wherein the police officer attributes comprise at least one of a number of police officers, a position of a police officer, and an age of a police officer.
3. The method of claim 1, further comprising:
regularly acquiring the high-alarm-condition area data, the high-alarm-condition time period, the high-alarm-condition type and the high-alarm-condition deployment information corresponding to the gridding area to calculate the high-alarm-condition matching degree;
if the alarm condition matching degree is lower than the preset matching degree, the alarm condition matching degree is judged to be lower than the preset matching degree
Generating a police deployment adjustment recommendation;
and sending the police force deployment adjustment suggestion to the equipment for displaying, and/or sending the police force deployment adjustment suggestion to a communication terminal corresponding to the police force deployment executor account.
4. The method of claim 3, further comprising:
receiving a police deployment adjustment command triggered by the device in response to a police deployment adjustment recommendation presented by the device;
responding to the police deployment adjustment command, and adjusting the police deployment information according to the police deployment adjustment suggestion, wherein the police deployment adjustment suggestion comprises an identification of a deployed police officer;
and generating a police force adjustment notice matched with the police force deployment adjustment suggestion, and sending the notice to a mobile terminal corresponding to the police officer identification.
5. The method of claim 1, further comprising:
counting a first alarm degree matching degree in the current evaluation period, and comparing the first alarm degree matching degree with a second alarm degree matching degree in the previous evaluation period;
if the first alarm degree matching degree is larger than the second alarm degree matching degree, adding a basic score generated according to the first alarm degree matching degree and adding a score to generate an alarm deployment evaluation value in the current evaluation period;
if the first alarm condition matching degree is smaller than the second alarm condition matching degree, subtracting a subtraction value from a basic value generated according to the first alarm condition matching degree to generate an alarm deployment evaluation value in the current evaluation period;
and providing a query interface for the police force deployment evaluation value.
6. A data processing apparatus for directing police deployment, the apparatus comprising:
the region selection instruction receiving module is used for acquiring a region selection instruction triggered by a device for executing the login of the human account in the police deployment operation page;
the gridding area determining module is used for determining a gridding area according to the area selection instruction;
the warning deployment suggestion generation module is used for acquiring the warning high-occurrence region data, the warning high-occurrence time period and the warning high-occurrence type corresponding to the gridding region, inputting the warning high-occurrence region data, the warning high-occurrence time period and the warning high-occurrence type into a warning deployment suggestion generation model, and generating the warning deployment suggestion corresponding to the gridding region; the police deployment recommendation comprises a police officer attribute, an equipment attribute, a region attribute and a time attribute; the police deployment suggestion generation model is established based on mapping relations among the police high-rate region data, the police high-rate time period, the police high-rate type, the police personnel attribute, the equipment attribute, the region attribute and the time attribute;
and the police deployment suggestion sending module is used for sending the police deployment suggestion to the equipment, so that the equipment displays the police deployment suggestion on the police deployment operation page.
7. The apparatus of claim 6, wherein the police officer attributes comprise at least one of a number of police officers, a position of a police officer, and an age of a police officer.
8. The apparatus of claim 6, further comprising:
the matching degree regular statistic module is used for regularly counting the matching degree of the police force and the police condition;
the police force deployment adjustment suggestion generation module is used for generating a police force deployment adjustment suggestion if the police force and police force matching degree is lower than a preset matching degree;
and the police force deployment adjustment suggestion sending module is used for sending the police force deployment adjustment suggestion to the equipment for displaying, and/or sending the police force deployment adjustment suggestion to a communication terminal corresponding to the police force deployment executor account.
9. The apparatus of claim 8, further comprising:
the police deployment adjustment command receiving module is used for receiving a police deployment adjustment command triggered by the device in response to the police deployment adjustment suggestion displayed by the device;
the police force deployment adjustment module is used for responding to the police force deployment adjustment command and adjusting the police force deployment information according to the police force deployment adjustment suggestion, and the police force deployment adjustment suggestion comprises the identification of deployed police officers;
and the notification module is used for generating a police force adjustment notification matched with the police force deployment adjustment suggestion and sending the notification to the mobile terminal corresponding to the police officer identifier.
10. The apparatus of claim 6, further comprising:
the device comprises an evaluation period matching degree counting module, a comparison module and a comparison module, wherein the evaluation period matching degree counting module is used for counting the first alarm degree matching degree in the current evaluation period and comparing the first alarm degree matching degree with the second alarm degree matching degree in the previous evaluation period;
the warning deployment evaluation value generation module is used for increasing a basic score generated according to the first warning situation matching degree by adding the score to generate a warning deployment evaluation value in the current evaluation period if the first warning situation matching degree is greater than the second warning situation matching degree; if the first alarm condition matching degree is smaller than the second alarm condition matching degree, subtracting a subtraction value from a basic value generated according to the first alarm condition matching degree to generate an alarm deployment evaluation value in the current evaluation period;
and the query interface module is used for providing a query interface for the police deployment evaluation value.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040064349A1 (en) * | 2002-09-30 | 2004-04-01 | Humenansky Brian S. | Deploying multiple enterprise planning models across clusters of application servers |
| CN101872450A (en) * | 2009-10-30 | 2010-10-27 | 北京交通大学 | Analytical method of macro-indicators of traffic police on duty based on multivariate data |
| CN102044011A (en) * | 2009-10-20 | 2011-05-04 | 北京交通大学 | Method and system for scheduling police force resource |
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| CN103136392A (en) * | 2011-11-29 | 2013-06-05 | 北京航天长峰科技工业集团有限公司 | Design method of security running chart for large-scale sport events |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20040064349A1 (en) * | 2002-09-30 | 2004-04-01 | Humenansky Brian S. | Deploying multiple enterprise planning models across clusters of application servers |
| CN102044011A (en) * | 2009-10-20 | 2011-05-04 | 北京交通大学 | Method and system for scheduling police force resource |
| CN101872450A (en) * | 2009-10-30 | 2010-10-27 | 北京交通大学 | Analytical method of macro-indicators of traffic police on duty based on multivariate data |
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