CN112561387A - Work efficiency analysis method and system based on visualization and personnel management - Google Patents
Work efficiency analysis method and system based on visualization and personnel management Download PDFInfo
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- G06Q10/063—Operations research, analysis or management
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- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
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- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/08—Construction
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
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- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/12—Timing analysis or timing optimisation
Abstract
The invention relates to the field of work efficiency analysis, in particular to a work efficiency analysis method and a work efficiency analysis system based on visualization and personnel management. The method comprises the following steps: s1, acquiring information of the entering constructors through a face recognition system; s2, according to the preset personnel information registration table, searching the safety helmet positioning information of the entry constructors through the information of the entry constructors; s3, when the information of the entry constructors is matched with the safety helmet positioning information of the entry constructors, the position information of the entry constructors is obtained through the safety helmet positioning devices; s4, when the position information of the approach constructor enters a preset working area, recording the working time length; s5, acquiring the workload of the constructor in a preset working area; and S6, calculating the work efficiency of the approach constructor according to the workload, the work type and the working time length. The work efficiency is calculated through the collected time and position information, and the calculated work efficiency is relatively objective and accurate.
Description
Technical Field
The invention relates to the field of work efficiency analysis, in particular to a work efficiency analysis method and a work efficiency analysis system based on visualization and personnel management.
Background
Because the construction site has numerous personnel, wide construction area and various related working types, the construction efficiency is difficult to be accurately analyzed, the work efficiency analysis of the construction site in the prior art generally only roughly estimates the work efficiency according to the total number of people and the total working time, and the total work efficiency and the individual work efficiency cannot be accurately measured, so that the construction period cannot be accurately measured, and the construction personnel can be reasonably distributed by judgment. Only when the work efficiency analysis is accurate, reasonable personnel material adjustment can be carried out, the work efficiency of a construction site is improved, and the cost is saved. A more objective and accurate method of ergonomics is therefore needed.
Disclosure of Invention
The invention aims to fully utilize positioning equipment, face recognition equipment and video monitoring equipment, collect information of field constructors, directly extract parameters related to work efficiency calculation, calculate personal and overall work efficiency, provide a new thought for work efficiency analysis, and provide a work efficiency analysis method and a work efficiency analysis system based on visualization and personnel management.
In order to achieve the above purpose, the invention provides the following technical scheme:
an ergonomics analysis method based on visualization and personnel management, comprising the steps of:
s1, acquiring information of the approach constructors through a face recognition system, wherein the information of the approach constructors comprises ID numbers, work types, approach time and face images of the constructors; an entry constructor wears a safety helmet with a safety helmet positioning device;
s2, according to the preset personnel information registration table, searching the safety helmet positioning information of the entry constructors through the information of the entry constructors;
s3, when the information of the entry constructors is matched with the safety helmet positioning information of the entry constructors, the position information of the entry constructors is obtained through the safety helmet positioning devices;
s4, when the position information of the approach constructor enters a preset working area, starting to record the working time length until the approach constructor leaves the preset working area;
s5, acquiring the workload of the approach constructor in a preset working area;
and S6, calculating the work efficiency of the approach constructor according to the workload, the work type and the working time length.
As a preferred scheme of the invention, the calculation formula of the work efficiency is as follows:
P＝λ·L/T
wherein, P is the work efficiency; λ is a reference coefficient related to the skill level of the constructor, L is the workload, and T is the length of the working time.
As a preferred scheme of the invention, when the constructors are multiple persons, the total work efficiency calculation formula is as follows:
wherein S is the total work efficiency and N isTotal number of people, Li、TiAnd λiThe workload, the working time length and the reference coefficient of the ith constructor are respectively.
As a preferable embodiment of the present invention, the step S4 specifically includes:
s41, acquiring a BIM model of the construction site, and updating the BIM model of the construction site in real time according to the construction progress;
s42, marking the position information of the approach constructor on a BIM model of the construction area to form an identification symbol, and performing visual display;
and S43, when the identifier is in a BIM model interval corresponding to the preset working area, starting to record the working time length until the identifier leaves the BIM model interval.
As a preferred scheme of the present invention, the preset working area is a three-dimensional position space or a two-dimensional position space, and when the preset working area is the two-dimensional position space, whether the preset working area enters the preset working area is determined according to the abscissa and ordinate of the identifier and the abscissa and ordinate of the BIM model interval; and when the preset working area is a three-dimensional position space, judging whether the working area enters the preset working area or not according to the abscissa, the ordinate and the height information of the approach constructor and the abscissa, the ordinate and the height information of the BIM model interval.
As a preferable aspect of the present invention, step S4 further includes:
s44, acquiring a video image of the working area through video monitoring equipment, and performing identity recognition according to the face image acquired by the face recognition system;
s45, determining the reference working time length of the approach constructor corresponding to the face image according to the time length of the face image in the video image;
and S46, acquiring the corrected working time length according to the reference time length and the working time length.
As a preferable embodiment of the present invention, step S46 specifically includes the following steps:
when the difference value between the reference time length and the working time length is smaller than the error threshold value, calculating the average value of the reference time length and the working time length, and taking the average value as the corrected working time length;
and when the difference value between the reference time length and the working time length is larger than or equal to the error threshold value, taking the reference time length as the corrected working time length.
Based on the same conception, the invention also provides an ergonomic analysis system based on visualization and personnel management, which comprises a face recognition system, a safety helmet positioning system, a processor and workload data entry equipment,
the human face recognition system is used for acquiring a human face image of an approach constructor and outputting information of the approach constructor corresponding to the human face image to the processor, wherein the information of the approach constructor comprises an ID number of the constructor, a work type, approach time and the human face image;
the safety helmet positioning system is used for acquiring the position information of a wearer;
the workload data entry equipment is used for inputting the workload of the approach constructor in a preset working area and outputting the workload of the approach constructor in the preset working area to the processor;
the processor stores a preset personnel information registration table and a preset working area; when the processor receives information of the approach constructors sent by the face recognition system, searching the safety helmet positioning information of the approach constructors according to a preset personnel information registration table, judging whether the information of the approach constructors is matched with the safety helmet positioning information of the approach constructors or not, and acquiring the position information of the approach constructors from the safety helmet positioning system when the information of the approach constructors is matched with the safety helmet positioning information of the approach constructors; when the position information of the entry constructors enters a preset working area, the processor also records the working time length of the entry constructors until the entry constructors leave the preset working area; the processor is also used for calculating the work efficiency of the approach constructors according to the workload output by the workload data entry equipment, the work types, the work time lengths and the workload of the approach constructors.
As a preferred scheme of the invention, when the work efficiency of the approach constructor is lower than the lowest threshold value or higher than the highest threshold value, the processor outputs prompt information.
As a preferred aspect of the present invention, the system further comprises a display;
the processor is used for updating the BIM model of the construction site in real time;
the display is used for visually displaying the position information of the approach constructor and the BIM model of the construction site.
Compared with the prior art, the invention has the beneficial effects that:
1. the method of the invention carries out identity recognition on the workers entering the construction site through the face recognition system, obtains position information of the workers through the safety helmet, calculates the work efficiency of the workers according to the time length and the workload of the workers in the working area, and obtains the total work efficiency after the work efficiency of each person is calculated. The safety helmet is worn by workers during the entering construction, so that the position information of the safety helmet can accurately reflect the position information of the workers, the positioning information acquired by the safety helmet is relatively objective and accurate, the work efficiency of the workers is calculated through the acquired time and position information, and a manager can find a work point with low work efficiency after calculating the accurate work efficiency, so that the problem is searched, and the process optimization, the worker adjustment and the like are carried out.
2. The invention also obtains the video image of the working area through the video monitoring equipment, judges whether the staff is in the working area through the face image obtained by the face recognition system, obtains the reference time length through the video monitoring equipment, and corrects the obtained working time length through the reference time length, thereby ensuring the objective and accurate obtained working time length. When the difference value between the reference time length and the obtained working time length is larger, the time length obtained by the video monitoring equipment is used as the standard, and the deviation caused by insufficient accuracy of the positioning information of the safety helmet is avoided.
Description of the drawings:
fig. 1 is a flowchart of an ergonomics analysis method based on visualization and personnel management according to embodiment 1 of the present invention;
fig. 2 is an example of a person information registration table in embodiment 1 of the present invention;
fig. 3 is an ergonomic analysis system diagram based on visualization and personnel management in embodiment 1 of the present invention.
Detailed Description
The present invention will be described in further detail with reference to test examples and specific embodiments. It should be understood that the scope of the above-described subject matter is not limited to the following examples, and any techniques implemented based on the disclosure of the present invention are within the scope of the present invention.
Example 1
An ergonomics analysis method based on visualization and personnel management, a flow chart is shown in fig. 1, and the steps comprise:
s1, acquiring information of the approach constructors through a face recognition system, wherein the information of the approach constructors comprises ID numbers, work type types, approach time and face images; the approach constructor wears the safety helmet with the safety helmet positioning device.
And S2, searching the safety helmet positioning information of the approach constructors according to the preset personnel information registration table and the information of the approach constructors. Fig. 2 shows an example of a personnel information registration form, information of which is previously entered into the system as a basis for judging whether or not the information of the constructor matches the helmet positioning information.
And S3, when the information of the entry constructors is matched with the safety helmet positioning information of the entry constructors, acquiring signals sent by the safety helmet positioning device, and acquiring the position information of the entry constructors. The matching does not mean that one field is matched, but means that the positioning information of the safety helmet can be obtained only by matching the ID number, the work type, the approach time and the face image, and if the information of one field is not matched, the positioning information of the safety helmet cannot be obtained, and warning information is sent to remind the personnel that the identity is unknown and needs to be verified. In addition, the safety helmet positioning information can be a number or an identification of a safety helmet positioning signal transmitting end, corresponding coordinate information can be read at a signal receiving end positioned by the safety helmet through the number or the identification, and the obtained coordinate information is used as position information of constructors.
And S4, when the position information of the approach constructor enters the preset working area, starting to record the working time length until the approach constructor leaves the preset working area.
And S5, acquiring the workload of the approach constructor in a preset working area. The workload can be obtained through manual statistics, and a data transmission port can also be established with other software platforms to read the corresponding workload.
And S6, calculating the work efficiency of the approach constructors according to the workload, the work types of the approach constructors, the working time length and the workload.
In step S6, the calculation formula of work efficiency is:
P＝λ·L/T
wherein, P is the work efficiency; λ is a reference coefficient related to the skill level of the constructor, L is the workload, and T is the length of the working time.
When the constructors are multiple, the total work efficiency calculation formula is as follows:
wherein S is the total work efficiency, N is the total number of people, and Li、TiAnd λiThe workload, the working time length and the reference coefficient of the ith constructor are respectively.
Taking a steel bar worker as an example for specific explanation, the grades of the steel bar worker are a high-grade worker, a middle-grade worker and a primary worker from high to low in sequence, and the corresponding reference coefficients lambda are 1.5, 1 and 0.8. When a senior worker A works for 2 hours and the workload is 200 meters, the work efficiency of the worker A is that P is 1.5 and 200/2 is 150. When a middle-grade worker B works for 2 hours and the workload is 140 meters, the work efficiency of A is P1-140/2-140. When a primary worker C works for 2 hours and the workload is 140 meters, the work efficiency of A is that P is 0.8-140/2-56. The overall ergonomics of three people is 150+140+ 56-346. Therefore, the construction period can be judged according to the individual work efficiency and the total work efficiency, and if the work efficiency is low, the number of the steel bar workers can be increased or the low-grade steel bar workers can be changed into the high-grade steel bar workers.
Specifically, since the working hours of the constructors are not continuous, for example, the hours of lunch and lunch break. Therefore, when the working time length is counted, a counting period may be set, for example, 2 hours, 4 hours, 8 hours, 24 hours, 48 hours, 72 hours or longer, and the counting period is set according to the requirement of the ergonomics analysis, when the continuous working time length of the constructor is less than the counting period, the generated working time length is buffered by using the intermediate parameter, and if the counting period is 24 hours, the time length of the intermediate parameter storage is t 1-1.4 hours, t 2-2 hours, t 3-4 hours, and t 4-3.5 hours, the total working time length t-1 + t2+ t3+ t 4-8.9 hours, and the ergonomics analysis is calculated according to 8.9 hours. The method of the invention not only can count the working time, but also can play a role in managing personnel, and has objective and reliable data support because the working time is counted according to the objectively collected position information, thereby being capable of objectively evaluating the personnel and being convenient for counting and checking.
The position information acquired by the safety helmet positioning system is position data which is relatively abstract, and as a preferred scheme of the invention, the position information of constructors is displayed on a BIM model, so that the monitoring and the management are convenient. The method of step S4 includes the steps of:
s41, acquiring a BIM model of the construction site, and updating the BIM model of the construction site in real time according to the construction progress;
s42, marking the position information of the approach constructor on a BIM model of the construction area, and performing visual display;
and S43, when the position information of the approach constructor is marked in a BIM model interval corresponding to the preset working area, starting to record the working time length until the position information of the approach constructor leaves the BIM model interval.
The preset working area is a three-dimensional position space or a two-dimensional position space, and when the preset working area is the two-dimensional position space, whether the working area enters the preset working area is judged according to the abscissa and the ordinate of the marking point of the approach constructor and the abscissa and the ordinate of the BIM model interval; and when the preset working area is a three-dimensional position space, judging whether the working area enters the preset working area or not according to the abscissa, the ordinate and the height information of the approach constructor and the abscissa, the ordinate and the height information of the BIM model interval.
Considering that a video monitoring system is usually arranged on a construction site, the video monitoring system is fully utilized, and corresponding video acquisition equipment is arranged in each work area, so that the work area and the video acquisition equipment have one-to-one correspondence. As a preferred embodiment of the present invention, a facial image of a constructor is acquired from a video surveillance frame image, and the length of the working time acquired by the helmet determination system is modified by using the time of acquiring the facial image, so that step S4 further includes:
s44, acquiring a video image of the working area through video monitoring equipment, and performing identity recognition according to the face image acquired by the face recognition system;
s45, determining the reference working time length of the approach constructor corresponding to the face image according to the time length of the face image in the video image;
and S46, acquiring the correction working time length according to the reference time length and the recording working time length.
For example, if the video capture ranges of the video capture devices with the numbers 42, 43, and 44 cover the working area of the steel bar worker, the video images obtained by the video capture devices with the numbers 42, 43, and 44 are stored in the video storage space of the steel bar worker, and parameters such as the height of a camera in the video capture device, the angle of the camera, and the image capture resolution can be debugged in advance, so that the face images in the obtained video frame images can be used for identification. When a face image appears in a video frame image for the first time, acquiring the time corresponding to the frame image, if the face image exists in the subsequent frame images, generating time statistical parameters of the face for time accumulation until the face image disappears from the video frame image, storing the accumulated parameters into intermediate parameters for storage (the intermediate parameters are t1, t2, t3, t4 … … and the like defined above), and when the statistical period time is up, accumulating the intermediate parameters to obtain the working time of the corresponding constructor of the face image.
Because the invention adopts the helmet positioning information to obtain the working time length and also adopts the video monitoring face recognition to obtain the working time length, the working time can be corrected based on two modes to obtain more accurate working time length. Step 46 specifically comprises the following steps:
when the difference between the reference time length and the recording operation time length is smaller than the error threshold, the average value of the reference time length and the recording operation time length is calculated and the average value is used as the correction operation time length. When the difference between the reference time length and the recorded working time length is greater than or equal to the error threshold, the situation is that the safety helmet positioning has deviation, for example, a worker is located at the edge of a preset working area, the working time length of the worker is not counted because the problem of positioning accuracy is likely to be judged to be outside the working area, and the face image information of the worker can be directly obtained in video monitoring, and the counting needs to be objective, so the reference time length is taken as the corrected working time length. The error threshold value can be set according to actual conditions.
Example 2
Based on the same conception, an ergonomic analysis system based on visualization and personnel management is also provided, and comprises a face recognition system, a helmet positioning system, a processor and workload data entry equipment, wherein the ergonomic analysis system based on visualization and personnel management is shown in a figure 3.
The face recognition system is used for acquiring information of the entry constructors, and the information of the entry constructors comprises ID numbers, work type types, entry time and face images of the constructors. An entrance camera is installed at an entrance, and a current face image of an entrance constructor is acquired through the entrance camera. And sends the current face image to the back end of the processor of the face recognition system. The back end of a processor of the face recognition system stores information of the entering constructors in advance, wherein the information comprises ID numbers, work type types, entering time and face images of the constructors. Therefore, the ID number, the work type and the approach time of the corresponding constructor can be found according to the current face image, and the face image with better shooting quality (the face image with better shooting quality is used for the later-stage video monitoring face recognition) which is stored in advance can be found, so that the found information of the constructor is named as a face recognition hit entry. And outputs the found information of the constructor (face recognition hit entry) to the processor.
The safety helmet positioning system is used for acquiring the position information of the wearing person. The safety helmet positioning system comprises front-end equipment, a transmission network, a construction site positioning server and a client.
The front-end equipment is a position information collector arranged on the safety helmet and comprises a mainboard, a battery, an indicator lamp, a charging hole and a switch. The main board is provided with a GPRS positioning module and a communication module of a GPS or Beidou, the positioning precision is 3-10 meters, the speed precision is 0.3 meter/second, operators supported by the communication module comprise mobile, Unicom and telecom, and when the communication module sends out positioning information acquired by the positioning module, an indicator light flashes for prompting. The battery just adopts rechargeable battery, charges for the battery through charging hole external power supply, and the rechargeable lamp is used for instructing whether full of.
The transmission network may be a mobile, a telecommunications network, or an ad hoc network. And sending the positioning information acquired by the front-end equipment to a construction site positioning server through a transmission network.
The construction site positioning server is used for receiving the position information acquired by the front-end equipment and updating the positioning information in real time. The client is used for monitoring data in the construction site positioning server.
The workload data entry equipment is used for inputting the workload of the approach constructor in a preset working area and outputting the workload of the approach constructor in the preset working area to the processor;
the processor stores a preset personnel information registration table and a preset working area; when the processor receives a face recognition hit item sent by a face recognition system, searching the safety helmet positioning information of the entry constructor according to a preset personnel information registration table, judging whether the information of the entry constructor is matched with the safety helmet positioning information of the entry constructor, and acquiring the position information of the entry constructor from a construction site positioning server of the safety helmet positioning system when the information of the entry constructor is matched with the safety helmet positioning information of the entry constructor; and when the position information of the approach constructor enters a preset working area, the processor also records the working time length of the approach constructor until the approach constructor leaves the preset working area.
The processor is also used for calculating the work efficiency of the approach constructors according to the workload output by the workload data entry equipment, the work types, the work time lengths and the workload of the approach constructors. When the work efficiency of the approach constructor is lower than the lowest threshold value or higher than the highest threshold value, the processor outputs prompt information.
The system further includes a display;
the processor is used for updating the BIM model of the construction site in real time;
the display is used for visually displaying the position information of the approach constructor and the BIM model of the construction site.
Claims (10)
1. An ergonomics analysis method based on visualization and personnel management, characterized by comprising the steps of:
s1, acquiring information of the approach constructors through a face recognition system, wherein the information of the approach constructors comprises ID numbers, work types, approach time and face images of the constructors; the approach constructor wears a safety helmet with a safety helmet positioning device;
s2, according to a preset personnel information registration table, searching the safety helmet positioning information of the entry constructors through the information of the entry constructors;
s3, when the information of the entry constructors is matched with the safety helmet positioning information of the entry constructors, the position information of the entry constructors is obtained through the safety helmet positioning devices;
s4, when the position information of the approach constructor enters a preset working area, starting to record the working time length until the approach constructor leaves the preset working area;
s5, acquiring the workload of the approach constructor in the preset working area;
and S6, calculating the work efficiency of the approach constructor according to the workload, the work type and the working time length.
2. An ergonomics method based on visualization and personnel management as claimed in claim 1 wherein the calculation formula of the ergonomics is:
P＝λ·L/T
wherein, P is the work efficiency; λ is a reference coefficient related to the skill level of the constructor, L is the workload, and T is the length of the working time.
3. An ergonomic analysis method based on visualization and personnel management according to claim 1, wherein when the constructor is a plurality of persons, the total ergonomic calculation formula is:
wherein S is the total work efficiency, N is the total number of people, and Li、TiAnd λiThe workload, the working time length and the reference coefficient of the ith constructor are respectively.
4. The ergonomics method according to claim 1, wherein the step of step S4 specifically comprises:
s41, acquiring the BIM of the construction site, and updating the BIM of the construction site in real time according to the construction progress;
s42, marking the position information of the approach constructor on a BIM model of the construction area to form an identification symbol, and performing visual display;
and S43, when the identifier is in the BIM model interval corresponding to the preset working area, starting to record the working time length until the identifier leaves the BIM model interval.
5. An ergonomics method according to claim 4 wherein the predetermined work area is a three-dimensional position space or a two-dimensional position space, and when the predetermined work area is a two-dimensional position space, it is determined whether it enters the predetermined work area based on the abscissa and ordinate of the identifier symbol and the abscissa and ordinate of the BIM model interval; and when the preset working area is a three-dimensional position space, judging whether the working area enters the preset working area or not according to the abscissa, the ordinate and the height information of the approach constructor and the abscissa, the ordinate and the height information of the BIM model interval.
6. An ergonomics method according to any of claims 1-5 wherein step S4 further comprises:
s44, acquiring a video image of the working area through video monitoring equipment, and performing identity recognition according to the face image acquired by the face recognition system;
s45, determining the reference working time length of the approach constructor corresponding to the face image according to the time length of the face image in the video image;
and S46, acquiring the corrected working time length according to the reference time length and the working time length.
7. An ergonomics method according to claim 6 wherein step S46 specifically comprises the steps of:
when the difference value between the reference time length and the working time length is smaller than an error threshold value, calculating the average value of the reference time length and the working time length, and taking the average value as the corrected working time length;
and when the difference value between the reference time length and the working time length is greater than or equal to an error threshold value, taking the reference time length as a correction working time length.
8. An ergonomic analysis system based on visualization and personnel management is characterized by comprising a face recognition system, a safety helmet positioning system, a processor and workload data entry equipment,
the face recognition system is used for acquiring a face image of an approach constructor and outputting information of the approach constructor corresponding to the face image to the processor, wherein the information of the approach constructor comprises an ID number of the constructor, a work type, approach time and the face image;
the safety helmet positioning system is used for acquiring the position information of a wearer;
the workload data entry equipment is used for inputting the workload of the approach constructor in a preset working area and outputting the workload of the approach constructor in the preset working area to the processor;
the processor stores a preset personnel information registration table and a preset working area; when the processor receives information of the approach constructors sent by the face recognition system, searching safety helmet positioning information of the approach constructors according to a preset personnel information registration table, judging whether the information of the approach constructors is matched with the safety helmet positioning information of the approach constructors or not, and acquiring position information of the approach constructors from the safety helmet positioning system when the information of the approach constructors is matched with the safety helmet positioning information of the approach constructors; when the position information of the approach constructor enters a preset working area, the processor also records the working time length of the approach constructor until the approach constructor leaves the preset working area; and the processor is also used for calculating the work efficiency of the approach constructors according to the workload output by the workload data entry equipment, the work type, the work time length and the workload of the approach constructors.
9. An ergonomics system based on visualization and personnel management as described in claim 8 wherein said processor outputs a prompt when the ergonomics of said approach builder is below a minimum threshold or above a maximum threshold.
10. An ergonomics system based on visualization and personnel management as described in claim 9 wherein said system further comprises a display;
the processor is used for updating the BIM model of the construction site in real time;
the display is used for visually displaying the position information of the approach constructor and the BIM model of the construction site.
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