CN110288243B - Statistical method and system for counting working efficiency of staff - Google Patents
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Abstract
The invention discloses a statistical method and a statistical system for working efficiency of a statistical staff, wherein the method comprises the following steps: establishing and storing a plurality of motion models in a data server; when a worker performs farming work, the positioning device determines whether the worker is positioned at a designated place according to the coordinate position of the worker; the network communication module counts the time; at least one displacement coordinate of a designated part of a worker is acquired through a displacement acquisition device in a time interval; the working efficiency analysis equipment obtains an actual motion trail, counts the same times and quantized working results of the actual motion trail and the motion model, and calculates the index efficiency of the motion model and the index efficiency of the working result of the staff; and a management personnel formulates a management scheme according to the index efficiency of the motion model and the index efficiency of the work result. The invention can record a great deal of labor details, and the statistical method is scientific, real-time and convenient, does not influence the work of staff, and improves the working efficiency.
Description
Technical Field
The invention relates to the technical field of work efficiency statistics, in particular to a statistical method and a statistical system for counting the work efficiency of staff.
Background
The existing mode for counting the workload and the working efficiency of the staff is to manually record the information such as the working time length and the working result of the staff and calculate the working efficiency of the staff by a plurality of simple statistical methods. In the existing statistical method, the recording is inconvenient, the recording information is less, the recording is inaccurate, the detail recording in the labor process of industrial workers is lacked, and the supervision loopholes are easy to appear in the manual statistics, so that the opportunity of personal cheating is given.
Disclosure of Invention
The invention aims to provide a statistical method and a statistical system for working efficiency of a worker, which can record labor details of a large number of workers, and the statistical method is scientific, real-time and convenient, does not influence the work of the workers, and improves the working efficiency.
In order to achieve the above objective, a statistical method for counting the working efficiency of a worker is provided, as shown in fig. 1, comprising the following steps:
s1: establishing and storing a plurality of motion models of designated parts of workers in agricultural works in a data server;
s2: when a worker performs farming work, the positioning device determines whether the worker is positioned at a designated place according to the coordinate position of the worker, and if so, the step S3 is executed;
s3: the network communication module obtains time and counts the working hours of the staff;
s4: setting an origin coordinate by the displacement acquisition device; at least one displacement coordinate of a designated part of a worker is acquired through a displacement acquisition device in a time interval;
s5: the working efficiency analysis equipment synthesizes displacement coordinates in working hours to obtain a motion track, and filters the motion track to obtain an actual motion track;
s6: the working efficiency analysis equipment counts the same times of the actual motion trail and the motion model;
s7: the work efficiency analysis equipment counts quantized work results of the workers for agronomic work;
s8: the working efficiency analysis equipment calculates the index efficiency of the motion model of the staff according to the proportion of the same times of the actual motion trail and the motion model to the man-hour; the working efficiency analysis equipment calculates the working result index efficiency of the staff according to the proportion of working results to working hours;
s9: and the management personnel establishes a management scheme according to the motion model index efficiency and the work result index efficiency.
In particular, the motion model is a motion track synthesized by displacement coordinates of a designated part of a worker in standard or efficient agronomic work in a time interval.
In particular, the origin coordinates are set by setting the position of the designated portion where the worker starts to perform the agronomic work as the origin.
In particular, the method for counting the same times of the actual motion trail and the motion model is to record that the similarity obtained by carrying out similarity measurement on the actual motion trail and the motion model is higher than a threshold value as one time.
In particular, the method for measuring the similarity between the motion trail and the motion model is a dynamic time warping algorithm.
In particular, the method for obtaining the actual motion trail by filtering the motion trail is a Kalman filtering algorithm.
The working efficiency of the staff can be comprehensively considered from the index efficiency of the motion model and the index efficiency of the working result, so that the staff can be favorably judged by the management staff, and the management staff can formulate the following management scheme:
if the motion model index efficiency of the staff is far higher than the average motion model index efficiency and the work result index efficiency is far higher than the average work result index efficiency, the staff is seriously and strive to execute farming works according to a standard or efficient method, the staff can be judged to have high work efficiency and is expressed; if the motion model index efficiency of the staff is far higher than the average motion model index efficiency and the work result index efficiency is far lower than the average work result index efficiency, the staff can judge that the work efficiency of the staff is general and give reminding because the staff does not need to repeat for many times to finish the farming work although the farming work is executed according to a standard or efficient method; if the motion model index efficiency of the staff is far lower than the average motion model index efficiency and the work result index efficiency is far higher than the average work result index efficiency, the staff can find other efficient methods, the staff can be judged to have high work efficiency and give a look up, and the management staff needs to focus on whether the motion trail of the staff for farming has sustainability and practicability, if so, the motion trail is established as a new motion model; if the motion model index efficiency of the staff is far lower than the average motion model index efficiency and the work result index efficiency is far lower than the average work result index efficiency, the staff can judge the work efficiency of the staff and needs to be trained and learned when the staff does not find a method for correctly implementing the farming works and does not finish the work targets; if the index efficiency of the motion model and the index efficiency of the work result are both average, the manager only needs spot check, and the work efficiency is saved.
A system for counting staff work efficiency, comprising:
the data server is used for establishing and storing a plurality of movement models of designated parts of workers in agricultural works;
acquisition device, it sets up to: the method comprises the steps of acquiring a coordinate position of a worker; the timer is used for timing the working time of the staff; the method comprises the steps of setting an origin coordinate and collecting at least one displacement coordinate of a designated part of a worker in a time interval; for transmitting the coordinate position, the time interval, the at least one displacement coordinate to a work efficiency analysis module;
work efficiency analysis apparatus configured to: the system is used for determining whether the worker is located at a designated place according to the coordinate position of the worker; the method comprises the steps of synthesizing displacement coordinates in working hours to obtain a motion track, and filtering the motion track to obtain an actual motion track; the method is used for counting the same times of the actual motion trail and the motion model; the quantitative work result is used for counting the works of the staff for farming; the method is used for calculating the index efficiency of the motion model of the staff according to the proportion of the same times of the actual motion trail and the motion model to the man-hour; the method is used for calculating the work result index efficiency of the staff according to the work result proportion.
In particular, the acquisition equipment comprises a positioning device, a displacement acquisition device, a controller and a network communication module; the positioning device, the displacement acquisition device and the network communication module are respectively connected with the controller.
In particular, the work efficiency analysis module is an intelligent device.
In particular, the acquisition device is a wearable device; the designated part is a hand.
The invention has the beneficial effects that:
1. the statistical method can record the labor details of a large number of workers through the acquisition equipment to record the displacement coordinates of the designated parts, is real-time and convenient to count, has multiple and accurate recorded information, is beneficial to the management staff to carry out the work duplication, and can provide scientific calculation basis for the analysis of the working efficiency in the future.
2. The statistical method of the invention sets the appointed position of the staff to start the agronomic work as the origin, then collects the displacement coordinates of the staff to do the agronomic work in the time interval, synthesizes the motion trail and filters the motion trail to obtain the actual motion trail, in particular, filters the motion trail by adopting the Kalman filtering algorithm, the actual motion trail obtained by the method is reasonable in calculation, and can remove noise and interference to obtain a more real actual motion trail.
3. The statistical method of the invention carries out similarity measurement through the actual motion trail and the motion model, and the times of counting the actual motion trail with the similarity higher than the threshold value is the times of completing the agricultural work. Particularly, a dynamic time normalization algorithm is adopted to calculate similarity measurement, a motion model with highest similarity can be found through the method, a system can judge what type of farming work is being carried out by the staff, a track for truly carrying out effective farming work is found, and effective workload is calculated through calculating the sum of displacement distances of the actual motion track, so that the method is accurate and scientific.
4. According to the statistical method, similarity measurement is carried out on the actual motion trail and the motion model, and the proportion of the same times of the actual motion trail and the motion model to the man-hour is calculated, so that the index efficiency of the motion model can be obtained; and calculating the work result index efficiency of the staff according to the work result proportion. The management staff can find problems from the calculated motion model index efficiency and work result index efficiency, so that the problems can be checked in a targeted manner, and individual staff can be inspected, trained and trained, solutions are provided, and the work efficiency is improved. As time goes by, the manager also observes whether the work efficiency of the worker is improved or not through longitudinal comparison from the work efficiency of the same worker for the same work at different times.
5. The acquisition equipment of the system is wearable equipment, such as a bracelet, so that a worker can wear the wrist, the hand displacement coordinates can be recorded at certain time intervals, statistics is real-time and convenient, and the work of the worker is not influenced.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a schematic diagram of a system architecture according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an acquisition device according to an embodiment of the present invention;
fig. 4 is a flow chart of a method according to an embodiment of the invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the advantages and features of the present invention can be more easily understood by those skilled in the art, thereby making clear and defining the scope of the present invention.
As shown in fig. 2, a system for counting working efficiency of staff in this embodiment adopts a C/S architecture.
The C/S architecture is a typical two-layer architecture, and the whole process is Client/Server, namely a Client Server architecture, wherein the Client comprises one or more programs running on a user' S computer, and the Server comprises two types, namely a database Server, and the Client accesses data of the Server through database connection; the other is a Socket server, and the program of the server communicates with the program of the client through Socket.
In the C/S architecture, the part that is the client needs to be under great stress, because both display logic and transactions are contained therein, the persistent data is achieved through interactions with the database (typically SQL or implementation of stored procedures) to meet the needs of the actual project.
The server side of the present embodiment is a data server and a work efficiency analysis device. Several kinds of motion models of farm work are used as data sources, stored in a data server and mapped to a database in the data server side to provide inquiry and retrieval. The database also stores a range of coordinate locations for the workplace of the staff member.
The work efficiency analysis device can be an independent intelligent device, such as a microcomputer, or can be integrated with the data server. The working efficiency analysis equipment can collect hand displacement coordinates of the client and convert the hand displacement coordinates into motion tracks, and can also query and retrieve a motion model in the data server; the method has the capability of filtering the motion trail according to a filtering algorithm to obtain an actual motion trail, and also has the capability of calculating the similarity between the actual motion trail and the motion model. The work efficiency analysis equipment counts quantized work results of the workers for agronomic work, which can be manually input by management personnel, and can also be imported by other equipment through interfaces. The working efficiency analysis equipment can calculate the index efficiency of the motion model of the staff according to the proportion of the same times of the actual motion trail and the motion model to the man-hour; the work result index efficiency of the staff can be calculated according to the work result proportion.
The client in this embodiment is an acquisition device. The acquisition device may be a wearable device, such as a wristband, and the staff member may be worn on the wrist. As shown in fig. 3, the acquisition device comprises a positioning device, a displacement acquisition device, a controller and a network communication module. The displacement acquisition device is a three-dimensional acceleration sensor chip with the model of MMA 7331L. The controller model is MSP430F1232, and a timer is arranged. The positioning device and the network communication module are integrated, the communication module with the model of Air800 and the SIM card connected with the communication module are adopted, the Air800 communication module provides a GPRS communication function and a GNSS positioning function for the acquisition equipment, and the 4G network communication function can be realized by matching with the SIM card supporting 4G communication, so that the acquisition equipment can be connected with a data server through a network. The acquisition equipment can record hand displacement coordinates at certain time intervals; the internet can be communicated, the current time can be obtained, and the time can be timed; the coordinate position of the current staff member can be obtained.
As shown in fig. 4, a statistical method for counting working efficiency of staff in this embodiment includes the following steps:
s01, establishing and storing a plurality of movement models of agricultural works in a data server.
The motion model is a motion track synthesized by displacement coordinates of a designated part of a worker in standard or efficient farming work in a time interval.
The implementation steps of the server in the C/S framework are as follows:
step 1: the database of the data server selects the version 2008 of the Sql server 64 bit, and establishes an ODBC data source for providing a standard API for the working efficiency analysis equipment to exchange with the database.
Step 2: and building an object-relation type database in the database, and building and storing a plurality of movement models of farm works.
Step 3: and constructing a geographical range table in the database, and setting or automatically generating a coordinate position range of the work place.
Step 4: and constructing a work result table in the database.
Step 5: wait for an SQL query.
The ODBC (Open Database Connectivity, open database interconnect) is a component of the microsoft corporation open service architecture (WOSA, windows Open Services Architecture) for databases that establishes a set of specifications and provides a set of standard APIs (application programming interfaces) for database access. These APIs utilize SQL to accomplish most of their tasks. ODBC itself also provides support for the SQL language, and users can directly send SQL statements to ODBC.
S02, when the worker performs farming work, the worker wears the collecting device, the collecting device determines whether the worker is located at a designated place, and if so, the step S03 is executed.
The realization steps of the client and the server in the C/S framework are as follows:
step 1: the staff wears the acquisition device on the wrist.
Step 2: when workers need to do farming work, the coordinate positions of the workers are sent to the working efficiency analysis equipment through the acquisition equipment. The working efficiency analysis equipment inquires a geographical range table through an SQL statement, and if the coordinate position is in the range of the geographical range table, the working efficiency analysis equipment sends information of 'starting to calculate the working efficiency' to the acquisition equipment; if the current time and the current geographic position are not in the range of the working schedule and the geographic range table, the working efficiency analysis equipment sends information of 'not starting to calculate the working efficiency' to the acquisition equipment.
S03, the acquisition equipment counts the working hours of the staff and acquires hand displacement coordinates of the staff.
The implementation steps of the client in the C/S framework are as follows:
step 1: if the acquisition equipment receives the information of 'starting to calculate the working efficiency', the acquisition equipment starts to calculate the working time.
Step 2: the acquisition device sets the hand position at which the agronomic work begins as the origin.
Step 3: the acquisition equipment acquires hand displacement coordinates of workers when carrying out farming works every 0.5 seconds, and sends the hand displacement coordinates to the working efficiency analysis equipment.
And S04, working efficiency analysis equipment calculates the index efficiency of the movement model of the staff.
The implementation steps of the server in the C/S framework are as follows:
step 1: the working efficiency analysis equipment synthesizes the displacement coordinates in working hours to obtain a motion track, and filters the motion track by calling a method comprising a Kalman filtering algorithm to obtain an actual hand displacement track.
Step 2: the working efficiency analysis equipment inquires a motion model of the number server, carries out similarity measurement on an actual hand displacement track and the motion model, calculates the similarity of the actual hand displacement track and the motion model by calling a method comprising a dynamic time normalization algorithm, finds out the actual hand displacement track with the similarity higher than a threshold value, namely that the actual motion track is the same as the motion model, and counts the times that the actual motion track is the same as the motion model;
step 3: the work efficiency analysis apparatus calculates a motion model index efficiency, that is, a motion model index efficiency=the same number of times/man-hour as the actual motion trajectory is 100%.
The Kalman filtering (Kalman filtering) algorithm is an algorithm for optimally estimating a system state by using a linear system state equation and inputting and outputting observation data through a system. The optimal estimate can also be seen as a filtering process, since the observed data includes the effects of noise and interference in the system. The Kalman filtering algorithm is characterized in that noisy input and observation signals are processed on the basis of online state space representation to obtain a system state or a real signal. This theory is expressed in the time domain, and based on the state space representation of the linear system, an optimal estimate of the system state is derived from the output and input observations.
The dynamic time warping algorithm (Dynamic Time Warping, DTW) is a general algorithm applied to the calculation of similarity measurement between tracks, and based on the thought of dynamic programming, the optimal matching between track points is found, so that the problems of local time offset and track unequal and the like can be effectively solved, and the earliest application field is voice recognition and then is introduced into time sequence analysis.
S05, recording the work result to a data server, and calculating the work result index efficiency of the staff through a work efficiency analysis device.
The implementation steps of the server in the C/S framework are as follows:
step 1: the manager inputs the work result of each worker into a work result table in the data server.
Step 2: the work efficiency analysis device queries the work result table through the SQL statement to check the work result of the worker.
Step 3: the work efficiency analysis device calculates work efficiency index efficiency, that is, work efficiency=work/man-hour 100%.
S06: the management personnel make management schemes by analyzing the motion model index efficiency and the work result index efficiency of the equipment staff through the work efficiency, for example:
if the motion model index efficiency of the staff is far higher than the average motion model index efficiency and the work result index efficiency is far higher than the average work result index efficiency, the staff is seriously and strive to execute farming works according to a standard or efficient method, the staff can be judged to have high work efficiency and is expressed; if the motion model index efficiency of the staff is far higher than the average motion model index efficiency and the work result index efficiency is far lower than the average work result index efficiency, the staff can judge that the work efficiency of the staff is general and give reminding because the staff does not need to repeat for many times to finish the farming work although the farming work is executed according to a standard or efficient method; if the motion model index efficiency of the staff is far lower than the average motion model index efficiency and the work result index efficiency is far higher than the average work result index efficiency, the staff can find other efficient methods, the staff can be judged to have high work efficiency and give a look up, and the management staff needs to focus on whether the motion trail of the staff for farming has sustainability and practicability, if so, the motion trail is established as a new motion model; if the motion model index efficiency of the staff is far lower than the average motion model index efficiency and the work result index efficiency is far lower than the average work result index efficiency, the staff can judge the work efficiency of the staff and needs to be trained and learned when the staff does not find a method for correctly implementing the farming works and does not finish the work targets; if the index efficiency of the motion model and the index efficiency of the work result are both average, the manager only needs spot check, and the work efficiency is saved.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, the patentees may make various modifications or alterations within the scope of the appended claims, and are intended to be within the scope of the invention as described in the claims.
Claims (6)
1. The statistical method for counting the working efficiency of the staff is characterized by comprising the following steps:
s1: establishing and storing a plurality of motion models of designated parts of workers in agricultural works in a data server; the motion model is a motion track synthesized by displacement coordinates of a designated part of a worker in standard or efficient farming works in a time interval; the appointed part is a hand;
s2: when a worker performs farming work, the positioning device determines whether the worker is positioned at a designated place according to the coordinate position of the worker, and if so, the step S3 is executed;
s3: the network communication module obtains time and counts the working hours of the staff;
s4: setting an origin coordinate by the displacement acquisition device; at least one displacement coordinate of a designated part of a worker is acquired through a displacement acquisition device in a time interval; the method for setting the origin coordinates is to set the position of a designated part of a worker starting to perform agronomic work as the origin;
s5: the working efficiency analysis equipment synthesizes displacement coordinates in working hours to obtain a motion track, and filters the motion track to obtain an actual motion track;
s6: the working efficiency analysis equipment counts the same times of the actual motion trail and the motion model; the method for counting the same times of the actual motion trail and the motion model is to record that the similarity obtained by carrying out similarity measurement on the actual motion trail and the motion model is higher than a threshold value as one time;
s7: the work efficiency analysis equipment counts quantized work results of the workers for agronomic work;
s8: the working efficiency analysis equipment calculates the index efficiency of the motion model of the staff according to the proportion of the same times of the actual motion trail and the motion model to the man-hour; the working efficiency analysis equipment calculates the working result index efficiency of the staff according to the proportion of working results to working hours;
s9: a manager formulates a management scheme according to the motion model index efficiency and the work result index efficiency; the management scheme is as follows:
if the motion model index efficiency of the worker is higher than the average motion model index efficiency and the work result index efficiency is higher than the average work result index efficiency, judging that the worker has high work efficiency; if the motion model index efficiency of the worker is higher than the average motion model index efficiency and the work result index efficiency is lower than the average work result index efficiency, judging that the work efficiency of the worker is general; if the motion model index efficiency of the staff is lower than the average motion model index efficiency and the work result index efficiency is higher than the average work result index efficiency, judging that the work efficiency of the staff is high, and mainly observing whether the motion trail of the staff for farming has sustainability and practicability or not, if so, establishing the motion trail as a new motion model; if the motion model index efficiency of the worker is lower than the average motion model index efficiency, and the work result index efficiency is lower than the average work result index efficiency, judging that the worker has low work efficiency; if the index efficiency of the motion model and the index efficiency of the work result are both average, only spot check is needed.
2. A method of counting staff effort as claimed in claim 1, wherein: the method for measuring the similarity between the motion trail and the motion model is a dynamic time warping algorithm.
3. A method of counting staff effort as claimed in claim 1, wherein: the method for obtaining the actual motion trail by filtering the motion trail is a Kalman filtering algorithm.
4. A system for counting staff work efficiency, comprising:
the data server is used for establishing and storing a plurality of movement models of designated parts of workers in agricultural works; the motion model is a motion track synthesized by displacement coordinates of a designated part of a worker in standard or efficient farming works in a time interval; the appointed part is a hand;
the acquisition equipment comprises a positioning device, a displacement acquisition device, a controller and a network communication module; the positioning device, the displacement acquisition device and the network communication module are respectively connected with the controller;
the positioning device is used for determining whether the worker is positioned at a designated place according to the coordinate position of the worker when the worker performs agricultural work;
the network communication module is used for obtaining time and timing working hours of the staff when the staff is located at the appointed place;
the displacement acquisition device is used for setting an origin coordinate; at least one displacement coordinate of a designated part of a worker is acquired through a displacement acquisition device in a time interval; the method for setting the origin coordinates is to set the position of a designated part of a worker starting to perform agronomic work as the origin;
the working efficiency analysis equipment is used for synthesizing displacement coordinates in working hours to obtain a motion track, and filtering the motion track to obtain an actual motion track; counting the same times of the actual motion trail and the motion model; the method for counting the same times of the actual motion trail and the motion model is to record that the similarity obtained by carrying out similarity measurement on the actual motion trail and the motion model is higher than a threshold value as one time; counting quantized work results of the staff for agronomic work; calculating the index efficiency of the motion model of the staff according to the proportion of the same times of the actual motion trail and the motion model to the man-hour; the working efficiency analysis equipment calculates the working result index efficiency of the staff according to the proportion of working results to working hours;
a manager formulates a management scheme according to the motion model index efficiency and the work result index efficiency; the management scheme is as follows:
if the motion model index efficiency of the worker is higher than the average motion model index efficiency and the work result index efficiency is higher than the average work result index efficiency, judging that the worker has high work efficiency; if the motion model index efficiency of the worker is higher than the average motion model index efficiency and the work result index efficiency is lower than the average work result index efficiency, judging that the work efficiency of the worker is general; if the motion model index efficiency of the staff is lower than the average motion model index efficiency and the work result index efficiency is higher than the average work result index efficiency, judging that the work efficiency of the staff is high, and mainly observing whether the motion trail of the staff for farming has sustainability and practicability or not, if so, establishing the motion trail as a new motion model; if the motion model index efficiency of the worker is lower than the average motion model index efficiency, and the work result index efficiency is lower than the average work result index efficiency, judging that the worker has low work efficiency; if the index efficiency of the motion model and the index efficiency of the work result are both average, only spot check is needed.
5. A system for counting staff effort as claimed in claim 4 wherein: the work efficiency analysis module is an intelligent device.
6. A system for counting staff effort as claimed in claim 4 wherein: the acquisition device is a wearable device.
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| CN104408578A (en) * | 2014-08-13 | 2015-03-11 | 苏州市伏泰信息科技有限公司 | Track-point-based quantitative assessment system and method for mechanical operation |
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| CN106952263A (en) * | 2017-05-19 | 2017-07-14 | 江阴东民盛科技有限公司 | A kind of depth self study visual analysis system |
| CN109856655A (en) * | 2019-02-01 | 2019-06-07 | 南通四建集团有限公司 | A kind of construction time personnel positioning based on Beidou GNSS and BIM, monitoring and managing method |
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