CN115358641B - Property post man-hour computing system and method based on global positioning and stream computing - Google Patents
Property post man-hour computing system and method based on global positioning and stream computing Download PDFInfo
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Abstract
The invention relates to a property post man-hour computing system and method based on global positioning and stream computing, which can very accurately obtain the position information of operators based on the global positioning technology, and can obtain post operation information by managing the position information and posts; the real-time collected worker position information set can be regarded as a time sequence-based unbounded data set, and the real-time post man-hour distribution of the worker can be rapidly and accurately obtained through processing of a flow technology engine.
Description
Technical Field
The invention relates to the technical field of positioning, in particular to a property post man-hour computing system and method based on global positioning and stream computing.
Background
With the development of digital economy, the demands of various industries for lean digital management of staff are increasing. And statistics of personnel post man-hour is also more important as one of important indexes. The staff post operation man-hour is monitored in real time, and the staff post operation man-hour is counted and analyzed in a refined mode, so that the labor cost investment can be effectively controlled, and the enterprise efficiency can be well improved based on the combination of management measures. In the field of property services, due to the labor-intensive industry characteristics, the management and control of personnel post man-hours are particularly important.
Global positioning technology, also known as indoor and outdoor integrated positioning technology. Outdoor positioning gps is quite mature at present, can meet the requirements of most industries for positioning, and indoor positioning adopts wifi, bluetooth, UWB and other schemes at present, and different schemes have larger differences in cost and positioning accuracy, so that different scene requirements can be used. The indoor or outdoor positioning alone cannot solve the global positioning requirement, so in recent years, two modes of the indoor or outdoor positioning technology are integrated, and different modes are selected in different scenes to solve the global positioning problem, and the technology is called an integrated positioning technology.
In recent years, with the rapid development of technologies such as big data, cloud computing and data mining, the demand of the industry for mass data processing is higher and higher, and distributed computing has also achieved rapid development in theory and practice, so that the industry has emerged as a very large number of technical frameworks and solutions for big data processing and application. Models of big data processing can be largely classified into batch processing and stream processing. In batch mode, data is continuously collected and then stored to form a bounded dataset, which is then analyzed in a batch, typically in a mapreduce model-based computing framework. The stream processing mode is a mode for processing an unbounded data set in real time, the data continuously arrives, and the system processes the newly arrived data in time and continuously generates an output result. Currently, the flexible and Storm of apache are widely used stream computing platforms.
The prior art property post man-hour management system mainly comprises the following realization modes: (1) Staff form filling, staff needs to fill in work content autonomously, information such as working time, completion condition and the like, accuracy and effectiveness of system data and the like depend on effective input of staff, quality cannot be guaranteed, and complicated manual recording also brings additional burden to posts of indoor and outdoor site operation properties; (2) card punching during working and working: the card punching machine or the staff smart phone is used for punching cards on duty and off duty, the time of going to duty and the time of going off duty are recorded, the difference value of the time and the time is the working time of the post, the mode can not carry out fine distinguishing record on the work of staff, only the attendance situation can be reflected, and effective support can not be provided for fine digital management. Thus, the current approach does not manage property employees through global positioning techniques and stream computation.
Disclosure of Invention
In order to solve the above problems in the prior art, the present invention provides a system and a method for calculating the man-hour of a property post based on global positioning and stream calculation.
The invention provides a property post man-hour computing system based on global positioning and stream computing, which comprises the following modules:
the flow calculation engine is deployed at the cloud end and is provided with a plurality of calculation units, and the flow calculation engine is used for receiving the man-hour calculation message packet sent by the distributed message module, processing the man-hour calculation message packet 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 data information from the positioning reporting device and sends calculation results to the fingerprint library module, the space resource module, the post management module and the distributed message module;
the fingerprint library module receives and stores fingerprint information from the WIFI fingerprint acquisition device, and shares the fingerprint information to the space resource module for use;
the space resource module is used for carrying out space resource modeling according to the information from the fingerprint library module and the positioning calculation module and providing space resource retrieval service;
the post management module is used for creating 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 library module;
the positioning reporting device is worn on the staff and used for collecting fingerprints in real time and reporting fingerprint information and current position information to the positioning calculation module.
Preferably, the distributed message module is configured to forward data, including man-hour calculation message packets from the positioning calculation module to the flow calculation engine and man-hour result message packets from the calculation engine to the man-hour management module.
Preferably, the man-hour management module manages a man-hour result message packet, and classifies the data of the same day as real-time data and the data before the same day as historical data; for the real-time data, modifying the post man-hour segment aggregation in real time until the current day is finished; for historical data, the date is marked and then stored for later inquiry.
The invention also provides a property post man-hour calculating method based on global positioning and stream calculation, which comprises the following steps:
s1: modeling a 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 the indoor and outdoor space areas where the post operation is located;
s2: and (5) collecting and warehousing Wifi fingerprints: based on the space modeling in the step S1, uniformly planning fingerprint acquisition points in each minimum divided space according to the space distance, scanning the space fingerprint information by using a WIFI fingerprint acquisition device and uploading the space fingerprint information to a fingerprint library module for storage;
s3: work post creates and binds the area: the post management module creates staff work posts and associates the work posts with the space areas divided in the step S1;
s4: fingerprint and position information are collected in real time and reported: the positioning reporting device collects fingerprint information and current position information of 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 spatial position of the staff by adopting a positioning algorithm, inquires the spatial resource information related to the spatial position through the spatial resource module, inquires the post management module, and retrieves the post information of the current spatial position;
s6: and (3) data filtering and cleaning: filtering out the spatial resource position information associated with the post of the non-current user based on the post information of the current spatial position obtained in the step S5, and filtering out the data information of the non-working time according to the working time of the user;
s7: and (5) data packaging and sending: packaging the filtered employee position information, the spatial resource information, the post information and the current timestamp associated with the position 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: real-time computing engine processing: 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: post man-hour aggregation: the man-hour management module receives the man-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 stage post;
s10: real-time data and historical data are split: the working hour management module starts a timing task to split historical data and real-time data after the task of the current day is finished, and marks the date of the historical data for storage;
s11: providing post man-hour multidimensional query: the man-hour management module provides post query services for a plurality of conditions.
Preferably, in the step S4, if the employee is located indoors, the location information is reported according to the regional location divided in the 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: the employee id and the space resource information are used as fragments to acquire a positioning data stream to which the computing unit belongs;
s8.2: performing one-time calculation operation by taking the front data and the rear data as windows, calculating the difference value of the time stamps of the two data, and judging the effectiveness of the difference value according to the period and the post information reported by the system;
s8.3: and (3) transmitting the effective data of the difference value obtained in the step S8.2 to a distributed message module as a post man-hour time slice.
The invention is based on the global positioning technology, can very accurately obtain the position information of the operator, and can obtain the post operation information by managing the position information and the post; the real-time collected worker position information set can be regarded as a time series-based unbounded data set, and the real-time post man-hour distribution of workers can be rapidly and accurately obtained through processing of a flow technology engine, so that enterprises can timely master the implementation situation of worker operation, and powerful data support is provided for worker management, performance assessment, salary settlement and the like.
Drawings
FIG. 1 is a schematic diagram of the modular composition 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. Those skilled in the art will understand that the following examples are only preferred embodiments of the present invention to facilitate a better understanding of the present invention, and thus should not be construed as limiting the scope of the present invention. Various changes and modifications may be made by one skilled in the art without departing from the spirit and principles of the invention, and any such modifications are intended to be included within the scope of the invention. The experimental methods in the following examples are all conventional methods unless otherwise specified, and the experimental materials used are all purchased from conventional biochemical reagent manufacturers unless otherwise specified.
As shown in fig. 1, a property post man-hour computing system based on global positioning and stream computing comprises the following modules:
the flow calculation engine is deployed at the cloud end and is provided with a plurality of calculation units, and the flow calculation engine is used for receiving the man-hour calculation message packet sent by the distributed message module, processing the man-hour calculation message packet 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 data information from the positioning reporting device and sends calculation results to the fingerprint library module, the space resource module, the post management module and the distributed message module;
the fingerprint library module receives and stores fingerprint information from the WIFI fingerprint acquisition device, and shares the fingerprint information to the space resource module for use;
the space resource module is used for carrying out space resource modeling according to the information from the fingerprint library module and the positioning calculation module and providing space resource retrieval service;
the post management module is used for creating 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 library module;
the positioning reporting device is worn on the staff and used for collecting fingerprints in real time and reporting fingerprint information and current position information to the positioning calculation module.
The distributed message module is used for forwarding data, including forwarding man-hour calculation message packets from the positioning calculation module to the flow calculation engine and forwarding man-hour result message packets from the flow calculation engine to the man-hour management module.
The man-hour management module manages the man-hour result message packet, classifies the data of the same day as real-time data, and classifies the data of the same day as historical data; for the real-time data, modifying the post man-hour segment aggregation in real time until the current day is finished; for historical data, the date is marked and then stored for later inquiry.
A property post man-hour calculating method based on global positioning and stream calculation comprises the following steps:
s1: modeling a 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 the indoor and outdoor space areas where the post operation is located;
s2: and (5) collecting and warehousing Wifi fingerprints: based on the space modeling in the step S1, uniformly planning fingerprint acquisition points in each minimum divided space according to the space distance, scanning the space fingerprint information by using a WIFI fingerprint acquisition device and uploading the space fingerprint information to a fingerprint library module for storage;
s3: work post creates and binds the area: the post management module creates staff work posts and associates the work posts with the space areas divided in the step S1;
s4: fingerprint and position information are collected in real time and reported: the positioning reporting device collects fingerprint information and position information of staff in real time and reports the collected fingerprint information and current position information to the positioning calculation module in real time;
s5: personnel positioning: the positioning calculation module calculates the spatial position of the staff by adopting a positioning algorithm, inquires the spatial resource information related to the spatial position through the spatial resource module, inquires the post management module, and retrieves the post information of the current spatial position;
s6: and (3) data filtering and cleaning: filtering out the spatial resource position information associated with the post of the non-current user based on the post information of the current spatial position obtained in the step S5, and filtering out the data information of the non-working time according to the working time of the user;
s7: and (5) data packaging and sending: packaging the filtered employee position information, the spatial resource information, the post information and the current timestamp associated with the position 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: real-time computing engine processing: 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: post man-hour aggregation: the man-hour management module receives the man-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 stage post;
s10: real-time data and historical data are split: the working hour management module starts a timing task to split historical data and real-time data after the task of the current day is finished, and marks the date of the historical data for storage;
s11: providing post man-hour multidimensional query: the man-hour management module provides post query services for a plurality of conditions.
In the step S4, if the employee is indoor, reporting is performed according to the area position divided in the step S1, and if the employee is outdoor, reporting positioning information is performed according to the GPS.
The real-time computing engine processing in step S8 includes the following sub-steps:
s8.1: the employee id and the space resource information are used as fragments to acquire a positioning data stream to which the computing unit belongs;
s8.2: performing one-time calculation operation by taking the front data and the rear data as windows, calculating the difference value of the time stamps of the two data, and judging the effectiveness of the difference value according to the period and the post information reported by the system;
s8.3: and (3) transmitting the effective data of the difference value obtained in the step S8.2 to a distributed message module as a post man-hour time slice.
Examples
Space resources A, B and C exist in the project; fingerprint data of the space resource A in the fingerprint library are FPa1 and FPa2 … FPan, and fingerprint data of the space resource B in the fingerprint library are FPb1 and FPb2 … FPbn; the fingerprint data of the space resource C in the fingerprint library comprises FPc1, FPc2 and … FPcn; the resource space which is responsible for the known personnel P is A and B; knowing that at time t0, the position of person P is A, person P is Ta in space A and Tb in space B; given that fingerprints reported by the person P at the subsequent times t1 and t2 are FP1 and FP2, the positioning and working hour calculation process 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 already provided;
(2) The space resource fingerprint database in the step S2 is provided with fingerprint data FPa1, FPa2 … FPan; FPb1, FPb2 … FPbn; FPc1, FPc2 … FPcn;
(3) Step S3, associating personnel and space resources, wherein the personnel P associates spaces A and B;
(4) According to step S4, at time t1, the fingerprint FPt1 is reported by the personnel P positioning reporting device, and the space A is calculated and matched through the personnel positioning process of step S5;
(5) Through the data filtering and cleaning algorithm in the step S6, as the personnel P has managed the space A, the calculation result is an effective personnel position point location, and the effective personnel position point location is sent to the stream calculation engine through the distributed message module according to the step S7;
(6) According to the step S8.1, the stream calculation engine has two calculation fragments P-A and P-B, and as personnel P is positioned at A at t0 and positioned at 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 personnel P, space resource A, increment t1-t0 and the like is sent to the distributed message module according to the process of the step S8.3;
(7) According to step S9, the man-hour management module calculates the man-hour of the person P in space a on day t1 after receiving the message: ta=ta+ (t 1-t 0), man-hour at space B: tb is unchanged, and time Tp1=Ta+Tb is t 1;
(8) Calculating the positioning of the staff P at the time t2 and the working time Tp2 at the time t2 according to the same method, wherein the total working time Tp=Tp1+Tp2 in the same day;
(9) After the day is finished, the total working hour Tp of the employee P on the day is moved to a history library according to the step S10, a history record Tth is formed by recording the time of the day on the entry, the working hour Tp on the day is initialized to 0, and working hour calculation is restarted;
(10) According to step S11, providing multi-dimensional inquiry of post man-hour, returning Tp when the system searches staff man-hour on the same day, and returning Tth when the system searches man-hour on the same day.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A property post man-hour computing system based on global positioning and stream computing, comprising the following modules:
the flow calculation engine is deployed at the cloud end and 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 returning the man-hour result message packet to the distributed message module, and the specific steps are as follows:
(1) The employee id and the space resource information are used as fragments to acquire a positioning data stream to which the computing unit belongs;
(2) Performing one-time calculation operation by taking the front data and the rear data as windows, calculating the difference value of the time stamps of the two data, and judging the effectiveness of the difference value according to the period and the post information reported by the system;
(3) The effective data of the difference value obtained in the step (2) is used as a post man-hour time slice to be sent to a 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 data information from the positioning reporting device and sends calculation results to the fingerprint library module, the space resource module, the post management module and the distributed message module;
the fingerprint library module receives and stores fingerprint information from the WIFI fingerprint acquisition device, and shares the fingerprint information to the space resource module for use;
the space resource module is used for carrying out space resource modeling according to the information from the fingerprint library module and the positioning calculation module and providing space resource retrieval service;
the post management module is used for creating 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 library module;
the data filtering and cleaning module is used for filtering out the spatial resource position information associated with the post of the non-current user and filtering out the data information of the non-working time according to the working time of the user;
the positioning reporting device is worn on the staff and used for collecting fingerprints in real time and reporting fingerprint information and current position information to the positioning calculation module.
2. A utility post man-hour computing system based on global positioning and stream computing as defined in claim 1, wherein: the distributed message module is used for forwarding data, including forwarding man-hour calculation message packets from the positioning calculation module to the flow calculation engine and forwarding man-hour result message packets from the flow calculation engine to the man-hour management module.
3. A utility post man-hour computing system based on global positioning and stream computing as defined in claim 1, wherein: the man-hour management module manages the man-hour result message packet, classifies the data of the same day as real-time data, and classifies the data of the same day as historical data; for the real-time data, modifying the post man-hour segment aggregation in real time until the current day is finished; for historical data, the date is marked and then stored for later inquiry.
4. A property post man-hour calculating method based on global positioning and stream calculation is characterized by comprising the following steps:
s1: modeling a 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 the indoor and outdoor space areas where the post operation is located;
s2: and (5) collecting and warehousing Wifi fingerprints: based on the space modeling in the step S1, uniformly planning fingerprint acquisition points in each minimum divided space according to the space distance, scanning the space fingerprint information by using a WIFI fingerprint acquisition device and uploading the space fingerprint information to a fingerprint library module for storage;
s3: work post creates and binds the area: the post management module creates staff work posts and associates the work posts with the space areas divided in the step S1;
s4: fingerprint and position information are collected in real time and reported: the positioning reporting device collects fingerprint information and position information of 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 spatial position of the staff by adopting a positioning algorithm, inquires the spatial resource information related to the spatial position through the spatial resource module, inquires the post management module, and retrieves the post information of the current spatial position;
s6: and (3) data filtering and cleaning: filtering out the spatial resource position information associated with the post of the non-current user based on the post information of the current spatial position obtained in the step S5, and filtering out the data information of the non-working time according to the working time of the user;
s7: and (5) data packaging and sending: packaging the filtered employee position information, the spatial resource information, the post information and the current timestamp associated with the position 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: real-time computing engine processing: 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; the specific substeps are as follows:
s8.1: the employee id and the space resource information are used as fragments to acquire a positioning data stream to which the computing unit belongs;
s8.2: performing one-time calculation operation by taking the front data and the rear data as windows, calculating the difference value of the time stamps of the two data, and judging the effectiveness of the difference value according to the period and the post information reported by the system;
s8.3: the effective data of the difference value obtained in the step S8.2 is used as a post man-hour time slice to be sent to a distributed message module;
s9: post man-hour aggregation: the man-hour management module receives the man-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 stage post;
s10: real-time data and historical data are split: the working hour management module starts a timing task to split historical data and real-time data after the task of the current day is finished, and marks the date of the historical data for storage;
s11: providing post man-hour multidimensional query: the man-hour management module provides post query services for a plurality of conditions.
5. The method for calculating the property post man-hour based on the global positioning and the stream calculation as claimed in claim 4, wherein the method comprises the following steps: in the step S4, if the employee is indoor, reporting is performed according to the area position divided in the step S1, and if the employee is outdoor, reporting positioning information is performed according to the GPS.
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