CN115358641A - Property post working hour calculation system and method based on global positioning and stream calculation - Google Patents
Property post working hour calculation system and method based on global positioning and stream calculation Download PDFInfo
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Abstract
The invention relates to a property post working hour calculation system and method based on global positioning and stream calculation, which can accurately obtain the position information of an operator based on the global positioning technology, and manage the position information and posts to obtain post operation information; the operator position information sets collected in real time can be regarded as unbounded data sets based on time sequences, and real-time post work time distribution of operators can be rapidly and accurately obtained through processing of the stream technology engine.
Description
Technical Field
The invention relates to the technical field of positioning, in particular to a property post working hour calculating system and method based on global positioning and stream calculation.
Background
With the development of digital economy, the demand of each industry on lean digital management of workers is higher and higher. The statistics of the man-hour of the personnel is also more important as one of the important indexes. Through monitoring staff post operation man-hour in real time to this is carried out statistics and analysis that becomes more meticulous, can effectual control human cost input, use this as the basis to combine management measure, can be fine improvement enterprise efficiency. In the field of property services, management and control of personnel post man-hours is particularly important due to its labor-intensive industrial features.
Global positioning technology, also known as indoor and outdoor integrated positioning technology. Outdoor location gps is at present fairly ripe, can satisfy the demand of most trade location, and indoor location adopts wifi at present more, scheme such as bluetooth, UWB, and different schemes, cost and positioning accuracy have great difference, can use different scene demands. In recent years, two modes of indoor and outdoor positioning are combined, and different modes are selected in different scenes to solve the problem of global positioning, which is called as a combined positioning technology.
In recent years, with the rapid development of technologies such as big data, cloud computing, data mining and the like, the industry has higher and higher requirements for mass data processing, distributed computing has also gained vigorous development in the aspects of theory and practice, and the industry has developed a very large data processing and application technology framework and solution. The model of big data processing can be basically divided into batch processing and stream processing. In the batch processing mode, data is continuously collected and then stored to form a bounded data set, and then the bounded data set is uniformly processed and analyzed in a batch, wherein a typical computation framework based on a mapreduce model belongs to batch processing. The stream processing mode is a mode for processing an unbounded data set in real time, data continuously arrives, a system processes newly arrived data in time, and an output result is continuously generated. Currently, the Flink and Storm of apache are relatively widely used stream computing platforms.
The existing property post working hour management system mainly has the following implementation modes: (1) Staff fills in forms, staff need to fill in information such as work content, work duration, completion condition and the like independently, accuracy and effectiveness of system data and the like depend on effective input of the staff, quality cannot be guaranteed, and meanwhile, extra burden is brought to posts of indoor and outdoor site operation properties due to complicated manual recording; (2) attendance and attendance card punching: the work attendance time and the work attendance off duty time are recorded by using a card punch or an employee smart phone to punch the card on duty and the difference value of the work attendance time and the work attendance off duty time is the post working time length. Therefore, the current approaches fail to manage property personnel through global positioning techniques and stream computing.
Disclosure of Invention
In order to solve the above problems in the prior art, the present invention provides a property post working hour calculation system and method based on global positioning and stream calculation.
The invention provides a property post working hour calculation system based on global positioning and stream calculation, which comprises the following modules:
the flow calculation engine is deployed at the cloud end, is provided with a plurality of calculation units and is used for receiving the man-hour calculation message packet sent by the distributed message module, processing the man-hour calculation message packet and returning the man-hour result message packet to the distributed message module;
a distributed message module for data forwarding;
the man-hour management module is used for receiving and managing the man-hour result message packet sent by the distributed message module;
the positioning calculation module receives and calculates the data information from the positioning reporting device, and sends the calculation result to the fingerprint library module, the space resource module, the post management module and the distributed message module;
the fingerprint database module is used for receiving and storing the fingerprint information from the WIFI fingerprint acquisition device and sharing the fingerprint information to the space resource module for use;
the spatial resource module is used for carrying out spatial resource modeling according to the information from the fingerprint library module and the positioning calculation module and providing spatial resource retrieval service;
the post management module is used for establishing a working post according to the information from the positioning calculation module and providing post retrieval service;
the WIFI fingerprint acquisition device is used for acquiring fingerprints and sending fingerprint information to the fingerprint database module;
and the positioning reporting device is worn on the staff and is used for acquiring fingerprints in real time and reporting the fingerprint information and the current position information to the positioning calculation module.
Preferably, the distributed message module is configured to forward data, including forwarding the man-hour computation message packet from the location computation module to the flow computation engine and forwarding the man-hour result message packet from the flow computation engine to the man-hour management module.
Preferably, the man-hour management module manages the man-hour result message packet, classifies the data of the current day into real-time data, and classifies the data before the current day into historical data; for real-time data, modifying post time-hour fragment aggregation in real time until the end of the day; and for historical data, storing the data after marking date for later inquiry.
The invention also provides a property post working hour calculation method based on the universe positioning and the stream calculation, which comprises the following steps:
s1: modeling the working area space: the space resource module carries out space resource modeling according to the information from the fingerprint library module and the positioning calculation module, and divides indoor and outdoor space areas where post operations are located;
s2: wifi fingerprint collection and storage: based on the space modeling of the step S1, uniformly planning fingerprint acquisition points according to space distances in each divided minimum space, scanning space fingerprint information by using a WIFI fingerprint acquisition device, and uploading the space fingerprint information to a fingerprint library module for storage;
s3: job post creates and binds zones: the post management module creates a staff working post and associates the working post with the space area divided in the step S1;
s4: collecting fingerprints and position information in real time and reporting: the positioning reporting device collects the fingerprint information and the current position information of the staff in real time and reports the collected fingerprint information and the current position information to the positioning calculation module in real time;
s5: personnel positioning: the positioning calculation module calculates the space position of the employee by adopting a positioning algorithm, inquires the space resource information related to the space position through the space resource module, and then inquires the post management module to retrieve the post information of the current space position;
s6: and (3) data filtering and cleaning: filtering out spatial resource position information related to the positions of the non-current users based on the position information of the current spatial position obtained in the step S5, and simultaneously filtering out data information of non-working time according to the working time of the user;
s7: data packaging and sending: packaging the filtered position information of the staff, the space resource information and the post information related to the position and the current timestamp to form a working hour calculation message packet, and forwarding the working hour calculation message packet to a stream calculation engine through a distributed message module;
s8: and (3) processing by a real-time computing engine: the flow calculation engine processes the received man-hour calculation message packet in real time and forwards the obtained man-hour result message packet to the man-hour management module through the distributed message module;
s9: and (4) post working hour aggregation: the working hour management module receives the working hour result message packet from the distributed message module in real time and accumulates the data to obtain and store new real-time data of the shift post;
s10: splitting real-time data and historical data: the working hour management module starts a timing task to split historical data and real-time data after the task on the same day is finished, and the historical data is stored by marking dates;
s11: providing post work hour multidimensional query: the man-hour management module provides post inquiry service of a plurality of conditions.
Preferably, in step S4, if the employee is located indoors, the location information is reported according to the area location divided in step S1, and if the employee is located outdoors, the location information is reported according to the GPS.
Preferably, the real-time computing engine processing in step S8 includes the following sub-steps:
s8.1: acquiring a positioning data stream to which the computing unit belongs by taking the employee id and the space resource information as fragments;
s8.2: performing calculation operation once by taking the front data and the rear data as windows, calculating the difference value of the timestamps of the two data, and judging the validity of the difference value according to the period and the post information reported by the system;
s8.3: and (4) sending the effective data of the difference value obtained in the step (S8.2) to a distributed message module as a post working hour time slice.
The invention is based on the technology of global positioning, can obtain the position information of the operating personnel very accurately, manage position information and post, just can obtain the post operation information; the position information sets of the operators collected in real time can be regarded as unbounded data sets based on time sequences, and real-time post work hour distribution of the operators can be rapidly and accurately obtained through processing of the stream technology engine, so that enterprises can timely control the work implementation conditions of the operators, and powerful data support is provided for employee management, performance assessment, salary settlement and the like.
Drawings
FIG. 1 is a schematic diagram of the module of the present invention;
FIG. 2 is a flow chart of the method of the present invention.
Detailed Description
Embodiments of the present invention will be described in detail with reference to examples. It will be appreciated by those skilled in the art that the following examples are only preferred embodiments of the invention to facilitate a better understanding of the invention and therefore should not be taken as limiting the scope of the invention. Various changes and modifications can be made by one skilled in the art without departing from the spirit and scope of the invention, and it is intended that all such modifications be included within the scope of the invention. The experimental procedures in the following examples were carried out in the conventional manner unless otherwise specified, and the experimental materials used were purchased from conventional biochemical reagent manufacturers unless otherwise specified.
As shown in fig. 1, a system for calculating property post working hours based on global positioning and stream calculation includes the following modules:
the flow calculation engine is deployed at the cloud end, is provided with a plurality of calculation units and is used for receiving the man-hour calculation message packet sent by the distributed message module, processing the man-hour calculation message packet and returning the man-hour result message packet to the distributed message module;
a distributed message module for data forwarding;
the man-hour management module is used for receiving and managing the man-hour result message packet sent by the distributed message module;
the positioning calculation module receives and calculates the data information from the positioning reporting device, and sends the calculation result to the fingerprint library module, the space resource module, the post management module and the distributed message module;
the fingerprint database module is used for receiving and storing the fingerprint information from the WIFI fingerprint acquisition device and sharing the fingerprint information to the space resource module for use;
the spatial resource module is used for carrying out spatial resource modeling according to the information from the fingerprint library module and the positioning calculation module and providing spatial resource retrieval service;
the post management module is used for establishing a working post according to the information from the positioning calculation module and providing post retrieval service;
the WIFI fingerprint acquisition device is used for acquiring fingerprints and sending fingerprint information to the fingerprint database module;
and the positioning reporting device is worn on the staff and is used for acquiring fingerprints in real time and reporting the fingerprint information and the current position information to the positioning calculation module.
The distributed message module is used for transmitting data, and comprises a man-hour calculation message packet from the positioning calculation module to the stream calculation engine and a man-hour result message packet from the stream calculation engine to the man-hour management module.
The man-hour management module manages the man-hour result message packet, and classifies the data of the current day as real-time data and the data before the current day as historical data; for real-time data, modifying post time-hour fragment aggregation in real time until the end of the day; and for historical data, storing the data after marking the date for later inquiry.
A property post working hour calculation method based on global positioning and stream calculation comprises the following steps:
s1: modeling the working area space: the space resource module carries out space resource modeling according to the information from the fingerprint library module and the positioning calculation module, and divides indoor and outdoor space areas where the post operation is located;
s2: wifi fingerprint collection and warehousing: based on the space modeling of the step S1, uniformly planning fingerprint acquisition points according to space distances in each divided minimum space, scanning space fingerprint information by using a WIFI fingerprint acquisition device, and uploading the space fingerprint information to a fingerprint library module for storage;
s3: job post creates and binds zones: the post management module creates a staff working post and associates the working post with the space area divided in the step S1;
s4: collecting fingerprints and position information in real time and reporting: the positioning reporting device collects the fingerprint information and the position information of the staff in real time and reports the collected fingerprint information and the current position information to the positioning calculation module in real time;
s5: personnel positioning: the positioning calculation module calculates the space position of the employee by adopting a positioning algorithm, inquires the space resource information related to the space position through the space resource module, and then inquires the post management module to retrieve the post information of the current space position;
s6: and (3) data filtering and cleaning: filtering out spatial resource position information related to the positions of the non-current users based on the position information of the current spatial position obtained in the step S5, and simultaneously filtering out data information of non-working time according to the working time of the user;
s7: data packaging and sending: packaging the filtered position information of the staff, the space resource information and the post information related to the position and the current timestamp to form a working hour calculation message packet, and forwarding the working hour calculation message packet to a stream calculation engine through a distributed message module;
s8: and (3) processing by a real-time computing engine: the flow calculation engine processes the received man-hour calculation message packet in real time and forwards the obtained man-hour result message packet to the man-hour management module through the distributed message module;
s9: and (4) post working hour aggregation: the working hour management module receives the working hour result message packet from the distributed message module in real time and accumulates the data to obtain and store new real-time data of the schedule posts;
s10: splitting real-time data and historical data: the man-hour management module starts a timing task to split historical data and real-time data after the task on the same day is finished, and stores the historical data in a date marking mode;
s11: providing post working hour multidimensional query: the man-hour management module provides post inquiry service of a plurality of conditions.
In the step S4, if the employee is located indoors, reporting is performed according to the area position divided in the step S1, and if the employee is located outdoors, reporting positioning information according to the GPS.
The real-time computing engine processing in the step S8 includes the following sub-steps:
s8.1: acquiring a positioning data stream to which the computing unit belongs by taking the employee id and the space resource information as fragments;
s8.2: performing calculation operation once by taking the front data and the rear data as windows, calculating the difference value of the timestamps of the two data, and judging the validity of the difference value according to the period and the post information reported by the system;
s8.3: and (4) sending the effective data of the difference value obtained in the step (S8.2) to a distributed message module as a post working hour time slice.
Examples
Space resources A, B and C exist in the project; the fingerprint data of the space resource A in the fingerprint library comprises FPa1 and FPa2 … FPan, and the fingerprint data of the space resource B in the fingerprint library comprises FPb1 and FPb2 … FPbn; the fingerprint data of the space resource C in the fingerprint library comprises FPc1, FPc2 … FPcn; knowing the resource space for which person P is responsible for A and B; knowing that the position of the person P is A at the time t0, the working hour of the person P in the space A is Ta, and the working hour of the person P in the space B is Tb; given that fingerprints reported by the person P at the subsequent times t1 and t2 are FP1 and FP2, the positioning and man-hour calculation processes of the person P at the times t1 and t2 are as follows:
(1) The space resources A, B and C in the step S1 are provided;
(2) The spatial resource fingerprint database in the stage of S2 is provided with fingerprint data FPa1 and FPa2 … FPan; FPb1, FPb2 … FPbn; FPc1, FPc2 … FPcn;
(3) Step S3, the association of personnel and space resources is provided, and the personnel P associates the spaces A and B;
(4) According to the step S4, at the time t1, the positioning reporting device of the person P reports the fingerprint FPt1, and the person P is calculated and matched to the space A through the person positioning process in the step S5;
(5) Through the data filtering and cleaning algorithm of the step S6, as the personnel P manage the space A, the calculation result is an effective personnel position point, and the calculation result is sent to the stream calculation engine through the distributed message module according to the step S7;
(6) According to the step S8.1, a flow calculation engine has two calculation fragments P-A and P-B, because the person P is positioned at the position A at t0 and is positioned at the position A at t1, the increment of the P-A fragment is dt1-t0 according to the calculation of the step S8.2, the P-B fragment has no increment, and the information of the person P, the space resource A, the increment t1-t0 and the like is sent to a distributed message module according to the process of the step S8.3;
(7) According to step S9, the man-hour management module receives the message and calculates the man-hours of the person P in the space a at the time t1 of the day: ta = Ta + (t 1-t 0), and in space B: tb unchanged, t1 time-man-hour Tp1= Ta + Tb;
(8) The positioning of the employee P at the time t2 and the time working hours Tp2 at the time t2 are calculated according to the same method, and the total working hours Tp = Tp1+ Tp2 at the same day;
(9) After the current day is finished, the total working hours Tp of the staff P in the current day are moved to a history library according to the step S10, the time of the current day is recorded on the entry to form a history record Tph, the working hours Tp in the current day in the next day are initialized to be 0, and the working hour calculation is restarted;
(10) And step S11, providing post working hour multidimensional query, returning Tp when the system searches the working hours of the staff on the same day, and returning Tph when the system searches the working hours on the previous day.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A property post working hour computing system based on global positioning and stream computing is characterized by comprising the following modules:
the flow calculation engine is deployed at the cloud end, is provided with a plurality of calculation units and is used for receiving and processing the man-hour calculation message packet sent by the distributed message module and then returning the man-hour result message packet to the distributed message module;
a distributed message module for data forwarding;
the man-hour management module is used for receiving and managing the man-hour result message packet sent by the distributed message module;
the positioning calculation module receives and calculates the data information from the positioning reporting device, and sends the calculation result to the fingerprint library module, the space resource module, the post management module and the distributed message module;
the fingerprint database module is used for receiving and storing the fingerprint information from the WIFI fingerprint acquisition device and sharing the fingerprint information to the space resource module for use;
the spatial resource module is used for carrying out spatial resource modeling according to the information from the fingerprint library module and the positioning calculation module and providing spatial resource retrieval service;
the post management module is used for establishing a working post according to the information from the positioning calculation module and providing post retrieval service;
the WIFI fingerprint acquisition device is used for acquiring fingerprints and sending fingerprint information to the fingerprint database module;
and the positioning reporting device is worn on the staff and is used for acquiring fingerprints in real time and reporting the fingerprint information and the current position information to the positioning calculation module.
2. The property post man-hour calculation system based on global positioning and stream calculation as claimed in claim 1, wherein: the distributed message module is used for transmitting data, and comprises a man-hour calculation message packet from the positioning calculation module to the stream calculation engine and a man-hour result message packet from the stream calculation engine to the man-hour management module.
3. The property post man-hour calculation system based on global positioning and stream calculation as claimed in claim 1, wherein: the man-hour management module manages the man-hour result message packet, and classifies the data of the current day as real-time data and the data before the current day as historical data; for real-time data, modifying post time-hour fragment aggregation in real time until the end of the day; and for historical data, storing the data after marking date for later inquiry.
4. A property post working hour calculation method based on global positioning and stream calculation is characterized by comprising the following steps:
s1: modeling the working area space: the space resource module carries out space resource modeling according to the information from the fingerprint library module and the positioning calculation module, and divides indoor and outdoor space areas where post operations are located;
s2: wifi fingerprint collection and warehousing: based on the space modeling of the step S1, uniformly planning fingerprint acquisition points according to space distances in each divided minimum space, scanning space fingerprint information by using a WIFI fingerprint acquisition device, and uploading the space fingerprint information to a fingerprint library module for storage;
s3: job post creates and binds zones: the post management module creates a staff working post and associates the working post with the space area divided in the step S1;
s4: collecting fingerprints and position information in real time and reporting: the positioning reporting device collects fingerprint information and position information of the staff in real time and reports the collected fingerprint information and position information to the positioning calculation module in real time;
s5: personnel positioning: the positioning calculation module calculates the space position of the employee by adopting a positioning algorithm, inquires the space resource information related to the space position through the space resource module, and then inquires the post management module to retrieve the post information of the current space position;
s6: and (3) data filtering and cleaning: based on the post information of the current space position obtained in the step S5, filtering out the space resource position information related to the post of the non-current user, and simultaneously filtering out the data information of the non-working time according to the working time of the user;
s7: data packaging and sending: packaging the filtered position information of the staff, the space resource information and the post information related to the position and the current timestamp to form a working hour calculation message packet, and forwarding the working hour calculation message packet to a stream calculation engine through a distributed message module;
s8: and (3) processing by a real-time computing engine: the flow calculation engine processes the received man-hour calculation message packet in real time and forwards the obtained man-hour result message packet to the man-hour management module through the distributed message module;
s9: and (4) post working hour aggregation: the working hour management module receives the working hour result message packet from the distributed message module in real time and accumulates the data to obtain and store new real-time data of the shift post;
s10: splitting real-time data and historical data: the man-hour management module starts a timing task to split historical data and real-time data after the task on the same day is finished, and stores the historical data in a date marking mode;
s11: providing post work hour multidimensional query: the man-hour management module provides post inquiry service of a plurality of conditions.
5. The property post working hour calculation method based on global positioning and stream calculation as claimed in claim 4, wherein: in the step S4, if the employee is located indoors, reporting is performed according to the area position divided in the step S1, and if the employee is located outdoors, reporting positioning information according to the GPS.
6. The property post working hour calculation method based on global positioning and stream calculation as claimed in claim 4, wherein: the real-time computing engine processing in the step S8 includes the following sub-steps:
s8.1: acquiring a positioning data stream to which the computing unit belongs by taking employee id and space resource information as fragments;
s8.2: performing calculation operation once by taking the front data and the rear data as windows, calculating the difference value of the timestamps of the two data, and judging the validity of the difference value according to the period and the post information reported by the system;
s8.3: and (4) sending the effective data of the difference value obtained in the step (S8.2) to a distributed message module as a post working hour time slice.
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