A method and system for statistically estimating benchman assembly time

Abstract

A kind of statistical bench worker's method and system, method includes in assembly workshop demarcation work area, deployment positioning base station forms virtual enclosed space, for bench worker to issue the positioning work card of binding identity information, when entering and exiting work area, the position of bench worker is determined by positioning base station signal, automatically start and stop work time clocking, simultaneously utilize camera to collect picture, the quantity of bench worker in work area is counted in real time, and compared with the quantity of work card, when difference appears, trigger abnormal early warning and classification processing, if camera shoots the illegal behavior of bench worker, it will also be carried out differentially according to the illegal behavior, the illegal classification of wearing difference;System is composed of positioning monitoring module, image acquisition module and data processing module, each module cooperates to realize data acquisition, transmission, processing and storage.The present application effectively avoids the problems of false reporting and missing reporting in manual reporting work time, and improves the accuracy of work time statistics.

Description

Technical Field

[0001] This invention relates to a statistical method and system, belonging to the field of time statistics, and particularly to a method and system for statistically analyzing fitter assembly time. Background Technology

[0002] In modern manufacturing, standardized, mass-produced equipment assembly lines for automobiles, mobile phones, and home appliances have achieved highly automated, minimally staffed, or even unmanned production, allowing workers' assembly hours to be tracked through machine runtime. However, in the field of shipbuilding and marine engineering electromechanical equipment manufacturing, due to the large size, modular nature, non-standardization, and small production batches of such equipment, automated assembly technology is difficult to apply. The manufacturing process heavily relies on manual operation to complete assembly tasks. Therefore, the assembly hours of workers in this field, such as fitters, are mainly recorded through self-reporting by the fitters. However, this method lacks objective supervision and is prone to false reporting and omissions, resulting in a low accuracy rate for calculating fitter assembly hours.

[0003] Chinese patent application CN202110722473.2, filed on June 29, 2021, discloses a method, device, and computer-readable storage medium for calculating working hours. The method includes: using a panoramic camera to capture images of a preset working area; when a target object is detected entering the preset working area based on the panoramic images captured by the panoramic camera, using a detail camera to track and capture images of the target object; and calculating the working time of the target object within the preset working area based on the detail images captured by the detail camera.

[0004] This design solves the problem that traditional timekeeping statistics can only record on-duty and off-duty status and cannot accurately quantify effective working hours. It enables dynamic tracking and behavioral analysis of workers' working hours, providing data support for enterprises to optimize work arrangements and management efficiency. However, because this patent relies on camera visual recognition, it may be affected by shooting angle, lighting conditions and the accuracy of behavior recognition model. There may be misjudgments of non-working behaviors or missed detection of working status, resulting in deviations between timekeeping data and actual work conditions. The statistical timekeeping is still not accurate enough.

[0005] The information disclosed in this background section is intended only to enhance understanding of the overall background of this application and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of existing methods with low accuracy and to provide a method and system for statistically calculating fitter assembly time with higher accuracy.

[0007] To achieve the above objectives, the technical solution of the present invention is: A method for calculating assembly time for fitters, the method comprising the following steps: Step 1: First, delineate the work area within the assembly plant. Then, deploy positioning base stations around the work area to enclose it. Next, issue work badges with built-in positioning tags to fitters and bind their identity information to the work badges. The second step is to first have the fitter wear a work badge that is linked to their identity information. Then, the distance difference between the work badge and the positioning base station is calculated by the time difference of the pulse signal sent by the work badge positioning tag reaching different positioning base stations, so as to determine the location of the work badge and whether the fitter is in the work area. After confirming that the fitter has entered the work area, the identity of the fitter is confirmed by the identity information linked to the work badge. Then, the work time is started for the fitter. When the work badge is detected to leave the work area, it is determined that the fitter has left the work area, and the work time is stopped to obtain the single work time of the fitter.

[0008] The method also includes a third step: if the fitter has only one single working time on a given day, the single working time is directly taken as the fitter's total working time for the day; if the fitter has more than one single working time on a given day, all the fitter's single working times are added together to obtain the fitter's total working time for the day.

[0009] In the first step, cameras are also deployed in the work area to collect images of the work area in real time.

[0010] In the second step, if the camera captures a fitter violating regulations within the work area, the violations are first categorized by behavioral or attire type, and then differentiated processing is performed: The aforementioned violations include sleeping, using a mobile phone, and smoking; the aforementioned clothing violations include not wearing a safety helmet and not wearing the prescribed work clothes. The handling of the aforementioned violations is as follows: record the evidence of the violation and generate corresponding grounds for deducting working hours; The handling of the aforementioned wear violation is as follows: immediately trigger a security alert.

[0011] The steps for handling the aforementioned behavioral violations include: When a fitter's violation is classified as a behavioral violation, the time point of the violation is first marked, and the video recording function is started to generate a continuous video clip with a duration of at least 10 seconds. Then, the video clip is named according to the rule of behavioral violation + work area number + timestamp, and the video clip is stored in the behavioral violation database and associated with the fitter's work badge number.

[0012] The steps for handling the aforementioned wear violation include: When a fitter's violation is classified as a violation of wearing protective gear, the sound and light alarm device in the work area is first triggered. At the same time, a real-time warning message containing the location of the violation area and the fitter's ID badge is pushed to the management personnel. Then, video clips 5 seconds before and after the time of the violation are extracted, and the video clips are named according to the rule of wearing protective gear + work area number + timestamp. The video clips are then stored in the violation database and associated with the fitter's ID badge number.

[0013] In the second step, while the positioning base station receives the pulse signals sent by the work badge positioning tags in the work area in real time, it first records the number of pulse signals, then converts them into the real-time number of work badges in the work area, and then collects the work area image through the camera in real time to count the actual number of fitters in the work area. Then, it compares the real-time number of work badges in the work area with the actual number of fitters at regular intervals. When the absolute value of the difference between the real-time number of work badges and the actual number of fitters is greater than or equal to 1, an abnormal warning is triggered and classified and handled.

[0014] When the real-time number of work badges exceeds the actual number of fitters, perform the following operations: First, the difference between the real-time number of work badges and the actual number of fitters is marked as a work badge left behind anomaly. Then, based on the pulse signal received by the positioning base station, work badges that have not moved for 5 consecutive minutes in the current work area are identified. Next, the camera footage is retrieved to confirm whether there are actual personnel at the location of the selected work badges. If the camera footage shows that no one is at the location, the sound and light alarm device in the work area is triggered. Finally, verification information including the ID of the left behind work badge, the work area number, and the time of the anomaly is pushed to the management personnel.

[0015] When the real-time number of work badges is less than the actual number of fitters, perform the following operations: First, mark the difference between the real-time number of work badges and the actual number of fitters as an anomaly of not wearing a work badge. Then, use a camera to detect personnel who are not wearing obvious work badges, select the personnel and capture their images. Then, trigger a voice prompt in the work area to ask them to wear their work badges. At the same time, push verification information including the captured image of the personnel, their work area and the time of the anomaly to the management personnel.

[0016] A system for a method of calculating assembly time for fitters, the system comprising: a positioning monitoring module, an image acquisition module, and a data processing module; The positioning monitoring module includes a positioning base station and a work badge positioning tag; The positioning base stations are arranged around the work area, and the work badge positioning tag is set in the work badge worn by the fitter. The positioning base stations receive pulse signals sent in real time by the work badge positioning tag. The positioning base stations are connected to the switch through wired or wireless connection, and transmit the fitter's positioning data and identity information contained in the pulse signal to the data processing module through the switch. The image acquisition module includes a camera and a hard disk recorder; The camera is connected to the hard disk recorder via a network cable. The camera's shooting range includes the work area. The captured image data is transmitted to the hard disk recorder for storage in real time. The hard disk recorder is connected to the switch via a wired or wireless connection, and the image data is transmitted to the data processing module through the switch. The data processing module includes a personnel location analysis unit, an automatic working time calculation unit, an image recognition processing unit, and a storage unit; The personnel location analysis unit receives fitter location data and identity information transmitted from the switch, analyzes whether the fitter is in the work area and identifies the fitter's identity. If the analysis result indicates that the fitter is in the work area, the fitter location data and identity information are transmitted to the automatic time calculation unit. The automatic time calculation unit calculates the time difference between the fitter's entry and exit from the work area based on the worker location data, generates fitter time statistics, and transmits the fitter time statistics to the storage unit. The image recognition processing unit analyzes the image data and identifies the worker's operating behavior and status. The storage unit stores worker location data, time statistics, and image data.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention provides a method and system for calculating assembly time for fitters. The method includes the following steps: Step 1: First, delineate the work area within the assembly workshop. Then, based on the size and shape of the area, deploy positioning base stations at equal intervals around the work area. The work area is enclosed by the transmission and reception of signals from the positioning base stations. Subsequently, each fitter is issued a work badge with a built-in positioning tag, and the fitter's name, number, and other identity information are bound to the work badge to ensure the uniqueness of the work badge and the fitter's identity. Step 2: Before entering the work area, the fitter must wear a badge bound to their own identity information. During operation, the work badge's positioning tag continuously sends pulse signals to surrounding positioning base stations. By calculating the time difference between the pulse signals arriving at different positioning base stations, the distance difference between the work badge and each positioning base station is calculated, determining the work badge's specific location. This allows the system to determine if the fitter is within the work area. Once the fitter is confirmed to be in the work area, their identity is verified based on the identification information linked to the work badge, and the fitter's working hours are recorded. When the work badge is detected leaving the work area, it is determined that the fitter has finished work, and the work hour recording stops. This provides the duration of the fitter's single work session. The advantages of this invention are: First: By deploying positioning base stations and positioning badges bound to identity information, an automated work area monitoring system is built, replacing traditional manual reporting with equipment signal interaction, fundamentally eliminating human interference and ensuring the authenticity and reliability of work time data; Second: By utilizing the principle of pulse signal positioning, the location of the work badge and the time node for the fitter to enter and exit the work area are accurately calculated, realizing real-time and dynamic collection of working time data, which improves the accuracy of working time statistics compared with manual reporting and statistics.

[0018] Therefore, the present invention can effectively avoid subjective bias and human error in the manual reporting of working hours statistics, and significantly improve the accuracy of fitter working hour data statistics.

[0019] 2. In the method and system for calculating assembly time of fitters according to the present invention, in the second step, if the camera captures a fitter's violation in the work area, it is first classified according to the type of violation of behavior and the type of violation of clothing, and then differentiated processing is performed: when a violation of behavior is detected, the system immediately marks the precise time point of the violation and automatically starts the video recording function to continuously capture at least 10 seconds of continuous video clips to fully record the entire process of the violation. Video clips are named according to the rule of "Violation + Work Area Number + Timestamp", such as "Smoking - Area A - 20230627103045", to ensure the uniqueness and traceability of the violation evidence. The video clip is then stored in the violation database and associated with the violating fitter's ID card number, serving as an objective basis for subsequent deduction of working hours. When a violation of wearing a safety helmet is detected, the audible and visual alarm device in the work area is first triggered, with a flashing red warning light and a buzzer sounding to remind the violating fitter to immediately correct the behavior. At the same time, a real-time warning message containing the location of the violation work area and the fitter's ID card is pushed to the management personnel, such as "Area B - ID Card: 0078, not wearing a safety helmet". In addition, video clips of 5 seconds before and after the violation occur are extracted, named and stored according to the rule of "Violation of Wearing a Safety Helmet + Work Area Number + Timestamp", such as "Not Wearing a Safety Helmet - Area A - 20230627103045". The video clip is then stored in the violation database and associated with the violating fitter's ID card number. This design identifies and categorizes violations and employs differentiated processing methods. On one hand, it automatically records video of violations as objective evidence for deducting work hours, effectively curbing passive work behavior by fitters. On the other hand, it immediately triggers audible and visual alarms and notifies management personnel for improper attire, promptly eliminating safety hazards. Therefore, this invention improves production efficiency and ensures the objectivity and fairness of work hour statistics through an objective and quantifiable work hour deduction mechanism, while also enabling timely detection and rapid handling of safety issues, ensuring operational safety.

[0020] 3. In the method and system for calculating fitter assembly time of the present invention, during the fitter operation, the positioning base station receives pulse signals sent by the work badge positioning tags in the work area in real time and automatically records the number of pulse signals. The real-time number of work badges in the work area is calculated by converting the number of signals. At the same time, the camera synchronously captures the image of the work area and uses image recognition technology to count the actual number of fitters in the work area in real time. The system automatically compares the real-time number of work badges with the actual number of fitters every 5 minutes. When the absolute value of the difference between the two is ≥1, an abnormal warning is triggered and a classification processing mechanism is started: if the real-time number of work badges is greater than the actual number of fitters, the system first marks it as "work badge left abnormal". Then, based on the pulse signals of the positioning base station, the system filters out the work badges that have not moved their positions in the work area for 5 consecutive minutes. The system automatically retrieves camera footage from the corresponding location for manual verification. If it confirms that no one is in the location, it triggers the audible and visual alarm device in the work area (red warning light flashes, buzzer sounds intermittently), and simultaneously pushes verification information including the leftover work badge ID, work area number, and time of the anomaly to the management personnel, such as "Area C - Work Badge ID: 0102 was found to have left an anomaly at 10:45". If the number of work badges in real time is less than the actual number of fitters, the system marks it as "abnormality of not wearing a work badge" and intelligently identifies personnel without obvious work badge identification through camera footage, automatically selects the violator and captures a clear frontal photo. At this time, the voice prompt "Please wear your work badge" plays repeatedly in the work area, and verification information including the violator's photo, the work area, and the time of the anomaly is pushed to the management personnel. This design, through the synergistic application of positioning technology and visual recognition, addresses two key issues. First, it uses an automatic early warning mechanism to promptly detect instances of forgotten or unworn work badges, preventing errors in work hour statistics caused by oversights in badge management. Second, it significantly shortens the anomaly handling cycle and improves the level of refined management at the work site through precise image evidence and real-time push notifications, ensuring a high degree of consistency between work hour statistics and the actual status of workers. Therefore, this invention, through its dual mechanism of automatic early warning and precise evidence collection, eliminates work hour statistics errors caused by oversights in badge management, improves anomaly handling efficiency, and guarantees the objectivity and accuracy of work hour data. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating the method of the present invention.

[0022] Figure 2 This is a schematic diagram of the system of the present invention. Detailed Implementation

[0023] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0024] See Figure 1 — Figure 2A method for calculating assembly time for fitters, the method comprising the following steps: Step 1: First, delineate the work area within the assembly plant. Then, deploy positioning base stations around the work area to enclose it. Next, issue work badges with built-in positioning tags to fitters and bind their identity information to the work badges. The second step is to first have the fitter wear a work badge that is linked to their identity information. Then, the distance difference between the work badge and the positioning base station is calculated by the time difference of the pulse signal sent by the work badge positioning tag reaching different positioning base stations, so as to determine the location of the work badge and whether the fitter is in the work area. After confirming that the fitter has entered the work area, the identity of the fitter is confirmed by the identity information linked to the work badge. Then, the work time is started for the fitter. When the work badge is detected to leave the work area, it is determined that the fitter has left the work area, and the work time is stopped to obtain the single work time of the fitter.

[0025] The method also includes a third step: if the fitter has only one single working time on a given day, the single working time is directly taken as the fitter's total working time for the day; if the fitter has more than one single working time on a given day, all the fitter's single working times are added together to obtain the fitter's total working time for the day.

[0026] In the first step, cameras are also deployed in the work area to collect images of the work area in real time.

[0027] In the second step, if the camera captures a fitter violating regulations within the work area, the violations are first categorized by behavioral or attire type, and then differentiated processing is performed: The aforementioned violations include sleeping, using a mobile phone, and smoking; the aforementioned clothing violations include not wearing a safety helmet and not wearing the prescribed work clothes. The handling of the aforementioned violations is as follows: record the evidence of the violation and generate corresponding grounds for deducting working hours; The handling of the aforementioned wear violation is as follows: immediately trigger a security alert.

[0028] The steps for handling the aforementioned behavioral violations include: When a fitter's violation is classified as a behavioral violation, the time point of the violation is first marked, and the video recording function is started to generate a continuous video clip with a duration of at least 10 seconds. Then, the video clip is named according to the rule of behavioral violation + work area number + timestamp, and the video clip is stored in the behavioral violation database and associated with the fitter's work badge number.

[0029] The steps for handling the aforementioned wear violation include: When a fitter's violation is classified as a violation of wearing protective gear, the sound and light alarm device in the work area is first triggered. At the same time, a real-time warning message containing the location of the violation area and the fitter's ID badge is pushed to the management personnel. Then, video clips 5 seconds before and after the time of the violation are extracted, and the video clips are named according to the rule of wearing protective gear + work area number + timestamp. The video clips are then stored in the violation database and associated with the fitter's ID badge number.

[0030] In the second step, while the positioning base station receives the pulse signals sent by the work badge positioning tags in the work area in real time, it first records the number of pulse signals, then converts them into the real-time number of work badges in the work area, and then collects the work area image through the camera in real time to count the actual number of fitters in the work area. Then, it compares the real-time number of work badges in the work area with the actual number of fitters at regular intervals. When the absolute value of the difference between the real-time number of work badges and the actual number of fitters is greater than or equal to 1, an abnormal warning is triggered and classified and handled.

[0031] When the real-time number of work badges exceeds the actual number of fitters, perform the following operations: First, the difference between the real-time number of work badges and the actual number of fitters is marked as a work badge left behind anomaly. Then, based on the pulse signal received by the positioning base station, work badges that have not moved for 5 consecutive minutes in the current work area are identified. Next, the camera footage is retrieved to confirm whether there are actual personnel at the location of the selected work badges. If the camera footage shows that no one is at the location, the sound and light alarm device in the work area is triggered. Finally, verification information including the ID of the left behind work badge, the work area number, and the time of the anomaly is pushed to the management personnel.

[0032] When the real-time number of work badges is less than the actual number of fitters, perform the following operations: First, mark the difference between the real-time number of work badges and the actual number of fitters as an anomaly of not wearing a work badge. Then, use a camera to detect personnel who are not wearing obvious work badges, select the personnel and capture their images. Then, trigger a voice prompt in the work area to ask them to wear their work badges. At the same time, push verification information including the captured image of the personnel, their work area and the time of the anomaly to the management personnel.

[0033] A system for a method of calculating assembly time for fitters, the system comprising: a positioning monitoring module, an image acquisition module, and a data processing module; The positioning monitoring module includes a positioning base station and a work badge positioning tag; The positioning base stations are arranged around the work area, and the work badge positioning tag is set in the work badge worn by the fitter. The positioning base stations receive pulse signals sent in real time by the work badge positioning tag. The positioning base stations are connected to the switch through wired or wireless connection, and transmit the fitter's positioning data and identity information contained in the pulse signal to the data processing module through the switch. The image acquisition module includes a camera and a hard disk recorder; The camera is connected to the hard disk recorder via a network cable. The camera's shooting range includes the work area. The captured image data is transmitted to the hard disk recorder for storage in real time. The hard disk recorder is connected to the switch via a wired or wireless connection, and the image data is transmitted to the data processing module through the switch. The data processing module includes a personnel location analysis unit, an automatic working time calculation unit, an image recognition processing unit, and a storage unit; The personnel location analysis unit receives fitter location data and identity information transmitted from the switch, analyzes whether the fitter is in the work area and identifies the fitter's identity. If the analysis result indicates that the fitter is in the work area, the fitter location data and identity information are transmitted to the automatic time calculation unit. The automatic time calculation unit calculates the time difference between the fitter's entry and exit from the work area based on the worker location data, generates fitter time statistics, and transmits the fitter time statistics to the storage unit. The image recognition processing unit analyzes the image data and identifies the worker's operating behavior and status. The storage unit stores worker location data, time statistics, and image data.

[0034] Example 1: A method for calculating assembly time for fitters includes the following steps: Step 1: First, delineate the work area within the assembly workshop, then deploy positioning base stations around the work area to enclose it, and issue work badges with built-in positioning tags to fitters, then bind the fitter's identity information to the work badges; Step 2: First, have the fitter wear the work badge bound to their identity information, then calculate the distance difference between the work badge and the positioning base stations by using the time difference of the pulse signal sent by the work badge positioning tag reaching different positioning base stations, to determine the location of the work badge, thereby determining whether the fitter is within the work area, and after confirming that the fitter has entered the work area, confirm the fitter's identity through the identity information bound to the work badge, then start timing the fitter's work time, and when it is detected that the work badge has left the work area, determine that the fitter has left the work area, and then stop timing the fitter's work time to obtain the single work time duration of the fitter.

[0035] In application, for example, in the electromechanical equipment assembly workshop of a shipbuilding company, for the assembly of pump sets of multiple models of ships, three different work areas were designated. Positioning base stations were installed around each work area. Through wireless signal interaction between the positioning base stations, each work area was enclosed as an independent virtual closed space. Positioning data was transmitted to the workshop server in real time via wired or wireless network. Simultaneously, each of the 20 assembly fitters was issued a work badge with a built-in positioning tag. The fitter's name, employee number (e.g., fitter Zhang San, employee number CH-001; fitter Li Si, employee number CH-002) was then bound to the unique ID of the work badge (e.g., TAG-001, TAG-002). At 8:00 AM on June 29th, XX year, Zhang San... Wearing work badge (TAG-001), Li Si entered work area 1. The badge sent pulse signals to surrounding base stations. After the positioning algorithm confirmed his location, his identity was matched, and timing started at 8:00:03. At 8:10 on the same day, Li Si, wearing work badge (TAG-002), entered work area 3. Timing started in the same manner. During the operation, the badge continuously sent signals to the positioning base station to maintain real-time positioning. At 12:00:15, Zhang San left work area 1 with his work badge. After the positioning base station detected the signal change, it stopped timing at 12:00:18, calculating his single working time as 4 hours and 15 minutes. At 12:30:20, Li Si left work area 3, and his working time was recorded as 4 hours and 20 minutes.

[0036] Example 2: The basic content is the same as in Example 1, except that: In the second step, if the camera captures a fitter's violation within the work area, it is first categorized by behavioral violation and clothing violation, and then handled differently: behavioral violations include sleeping, using a mobile phone, and smoking; clothing violations include not wearing a safety helmet and not wearing the prescribed work clothes. The handling for behavioral violations is: recording the violation evidence to generate corresponding time deduction criteria; the handling for clothing violations is: immediately triggering a safety warning. The steps for handling behavioral violations include: when a fitter's violation is categorized as a behavioral violation, first marking the time point of the violation, simultaneously activating the video recording function to generate a continuous video clip of at least 10 seconds in length, then naming the video clip according to the rule of "behavioral violation + work area number + timestamp," and finally storing the video clip in the behavioral violation database, associating it with the fitter's work badge number. The steps for handling violations of clothing regulations include: when a fitter's violation is classified as a violation of clothing regulations, the audible and visual alarm device in the work area is first triggered, and at the same time, a real-time warning message containing the location of the violation work area and the fitter's ID badge is pushed to the management personnel. Then, video clips of 5 seconds before and after the time of the violation are extracted, and the video clips are named according to the rule of "wearing violation + work area number + timestamp". The video clips are then stored in the behavior violation database and associated with the fitter's ID badge number.

[0037] In application, at 10:15 AM on June 29th of a certain work area, a camera captured fitter Chen Qiang leaning against equipment and smoking. This was initially classified as a violation, with the violation time marked at 10:15:22. The video recording function was then activated to generate a 15-second continuous clip, named "Violation + Area X + 0629101522," and stored in the database, linked to Chen Qiang's work badge ID as electronic evidence for subsequent deductions of working hours. Later that afternoon at 2:30 PM, the camera detected fitter Liu Fang in work area X not wearing a safety helmet. This was determined to be a violation, triggering a flashing red warning light and a buzzer alarm in that area. Simultaneously, a warning message was sent to the safety supervisor: "Work area X + Work badge ID: 001 + Not wearing a safety helmet, 14:30:18." Footage from 14:30:13 to 14:30:23 was also captured. The video clips were stored under the name "Wearing Violation + X Zone + 0629143018", and then archived into the database after being associated with Liu Fang's employee ID.

[0038] Example 3: The basic content is the same as in Example 1, except that: In the second step, while the positioning base station receives pulse signals from the work badge positioning tags in the work area in real time, it first records the number of pulse signals, then converts them into the real-time number of work badges in the work area. Simultaneously, it captures images of the work area through a camera, and counts the actual number of fitters in the work area in real time. Then, it periodically compares the real-time number of work badges with the actual number of fitters in the work area. When the absolute value of the difference between the real-time number of work badges and the actual number of fitters is greater than or equal to 1, an anomaly warning is triggered and classified for handling. When the real-time number of work badges is greater than the actual number of fitters, the following operations are performed: First, the difference between the real-time number of work badges and the actual number of fitters is marked as "work badge left behind anomaly." Then, based on the pulse signals received by the positioning base station, it identifies work badges that have not moved for 5 consecutive minutes in the current work area. Next, it retrieves camera footage to confirm whether there are actual personnel at the location of the selected work badges. If the camera footage shows that no one is at that location, it triggers the audible and visual alarm device in the work area. Finally, it pushes verification information containing the left behind work badge ID, work area number, and the time of the anomaly to the management personnel. When the real-time number of work badges is less than the actual number of fitters, perform the following operations: First, mark the difference between the real-time number of work badges and the actual number of fitters as "abnormality of not wearing work badge". Then, use a camera to detect personnel who are not wearing obvious work badge identification, select the personnel and capture the image. Then, trigger the voice prompt "Please wear your work badge" in the work area and simultaneously push verification information including the captured image of the personnel, the work area where they are located, and the time when the abnormality occurred to the management personnel.

[0039] In application, within a certain work area, the positioning base station receives the pulse signal sent by the work badges in real time and counts the number of work badges. At the same time, the camera simultaneously captures images and counts the actual number of fitters. For example, at 15:00 on a certain day, if 21 work badges are detected and 20 people are actually present, it is immediately marked as "work badge left behind abnormal". Then, the positioning signal is used to filter out the work badges that have not been moved for 5 consecutive minutes in the southeast corner of the work area. After the camera confirms that no one is in that location, the sound and light alarm device in the work area is activated, the red warning light flashes and a buzzer alarm is sounded. The management personnel simultaneously receive the verification information "Work badge left behind in work area X at 15:00:23". At 15:15, if 18 work badges are detected and 20 people are actually present, it is marked as "work badge not worn abnormal". The camera AI automatically selects 2 fitters who are not wearing work badges and takes photos. The work area then plays a voice prompt "Please wear your work badge". The management personnel's mobile phone receives verification information in real time, including photos of the violators, work area X, and the timestamp of 15:15:47. On-site correction is completed within 5 minutes.

[0040] Example 4: A system for calculating assembly time for fitters includes: a positioning monitoring module, an image acquisition module, and a data processing module. The positioning monitoring module includes positioning base stations and work badge positioning tags. The positioning base stations are arranged around the work area, and the work badge positioning tags are embedded in the work badges worn by the fitters. The positioning base stations receive pulse signals transmitted in real time by the work badge positioning tags. The positioning base stations are connected to a switch via wired or wireless connection, transmitting the fitter's positioning data and identification information contained in the pulse signals to the data processing module through the switch. The image acquisition module includes a camera and a hard disk recorder (HDD). The camera is connected to the HDD via a network cable, and the camera's shooting range includes the work area. The captured image data is transmitted to the HDD for storage in real time. The HDD is connected to the switch via wired or wireless connection. The image data is transmitted to the data processing module via a switch. The data processing module includes a personnel location analysis unit, an automatic time calculation unit, an image recognition processing unit, and a storage unit. The personnel location analysis unit receives the fitter's location data and identity information transmitted from the switch, analyzes whether the fitter is in the work area and identifies the fitter. If the analysis result indicates that the fitter is in the work area, the fitter's location data and identity information are transmitted to the automatic time calculation unit. The automatic time calculation unit calculates the time difference between the fitter's entry and exit from the work area based on the worker's location data, generates the fitter's time statistics, and transmits the work time statistics to the storage unit. The image recognition processing unit analyzes the image data and identifies the worker's operating behavior and status. The storage unit stores the worker's location data, time statistics, and image data.

[0041] In application, the workshop is divided into three independent work areas, each with positioning base stations evenly deployed around its perimeter. These base stations interact wirelessly to create a virtual enclosed space. Simultaneously, 50 assembly fitters are issued work badges with built-in positioning tags, each uniquely linked to the fitter's identity information within the system. High-definition cameras are installed around each work area, recording in real-time and storing the footage on a hard disk recorder, ensuring coverage of all workstations. A switch connects the positioning base stations and cameras via wired or wireless networks. When fitter Zhao Liu, wearing his work badge, enters work area number 2, the positioning base station immediately captures the pulse signal transmitted by the badge. His coordinate data and badge ID are transmitted via the switch to the data processing module. The personnel location analysis unit analyzes the positioning data and... The virtual boundary algorithm determined that Zhao Liu was within the work area, and the automatic time calculation unit was triggered to start timing at 7:58:12. At the same time, the camera in the corresponding area automatically focused on Zhao Liu's workstation, and the real-time image was synchronously transmitted to the hard disk recorder for storage via a switch. During the operation, the positioning monitoring module updated the work badge location data periodically, and the data processing module continuously verified whether the fitter was within the area. At 11:30:05, Zhao Liu left the work area with his work badge, and the sudden change in positioning data triggered the system to stop timing at 11:30:08. The time calculation unit automatically generated a single time record of 4 hours and 30 minutes. This record included Zhao Liu's work number, work area number, entry and exit timestamps, and other information, and was transmitted to the storage unit for storage.

[0042] The above description is only a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. Any equivalent modifications or changes made by those skilled in the art based on the content disclosed in the present invention should be included within the scope of protection set forth in the claims.

Claims

1. A method for calculating assembly time for fitters, characterized in that: The method includes the following steps: Step 1: First, delineate the work area within the assembly plant. Then, deploy positioning base stations around the work area to enclose it. Next, issue work badges with built-in positioning tags to fitters and bind their identity information to the work badges. The second step is to first have the fitter wear a work badge that is linked to their identity information. Then, the distance difference between the work badge and the positioning base station is calculated by the time difference of the pulse signal sent by the work badge positioning tag reaching different positioning base stations, so as to determine the location of the work badge and whether the fitter is in the work area. After confirming that the fitter has entered the work area, the identity of the fitter is confirmed by the identity information linked to the work badge. Then, the work time is started for the fitter. When the work badge is detected to leave the work area, it is determined that the fitter has left the work area, and the work time is stopped to obtain the single work time of the fitter.

2. The method for calculating assembly time for fitters according to claim 1, characterized in that: The method also includes a third step: if the fitter has only one single working time on a given day, the single working time is directly taken as the fitter's total working time for the day; if the fitter has more than one single working time on a given day, all the fitter's single working times are added together to obtain the fitter's total working time for the day.

3. The method for calculating assembly time for fitters according to claim 2, characterized in that: In the first step, cameras are also deployed in the work area to collect images of the work area in real time.

4. A method for calculating assembly time for fitters according to claim 1, 2, or 3, characterized in that: In the second step, if the camera captures a fitter violating regulations within the work area, the violations are first categorized by behavioral or attire type, and then differentiated processing is performed: The aforementioned violations include sleeping, using a mobile phone, and smoking; the aforementioned clothing violations include not wearing a safety helmet and not wearing the prescribed work clothes. The handling of the aforementioned violations is as follows: record the evidence of the violation and generate corresponding grounds for deducting working hours; The handling of the aforementioned wear violation is as follows: immediately trigger a security alert.

5. The method for calculating assembly time for fitters according to claim 4, characterized in that: The steps for handling the aforementioned behavioral violations include: When a fitter's violation is classified as a behavioral violation, the time point of the violation is first marked, and the video recording function is started to generate a continuous video clip with a duration of at least 10 seconds. Then, the video clip is named according to the rule of behavioral violation + work area number + timestamp, and the video clip is stored in the behavioral violation database and associated with the fitter's work badge number.

6. The method for calculating assembly time for fitters according to claim 4, characterized in that: The steps for handling the aforementioned wear violation include: When a fitter's violation is classified as a violation of wearing protective gear, the sound and light alarm device in the work area is first triggered. At the same time, a real-time warning message containing the location of the violation area and the fitter's ID badge is pushed to the management personnel. Then, video clips 5 seconds before and after the time of the violation are extracted, and the video clips are named according to the rule of wearing protective gear + work area number + timestamp. The video clips are then stored in the violation database and associated with the fitter's ID badge number.

7. A method for calculating assembly time for fitters according to claim 1, 2, or 3, characterized in that: In the second step, while the positioning base station receives the pulse signals sent by the work badge positioning tags in the work area in real time, it first records the number of pulse signals, then converts them into the real-time number of work badges in the work area, and then collects the work area image through the camera in real time to count the actual number of fitters in the work area. Then, it compares the real-time number of work badges in the work area with the actual number of fitters at regular intervals. When the absolute value of the difference between the real-time number of work badges and the actual number of fitters is greater than or equal to 1, an abnormal warning is triggered and classified and handled.

8. The method for calculating assembly time for fitters according to claim 7, characterized in that: When the real-time number of work badges exceeds the actual number of fitters, perform the following operations: First, the difference between the real-time number of work badges and the actual number of fitters is marked as a work badge left behind anomaly. Then, based on the pulse signal received by the positioning base station, work badges that have not moved for 5 consecutive minutes in the current work area are identified. Next, the camera footage is retrieved to confirm whether there are actual personnel at the location of the selected work badges. If the camera footage shows that no one is at the location, the sound and light alarm device in the work area is triggered. Finally, verification information including the ID of the left behind work badge, the work area number, and the time of the anomaly is pushed to the management personnel.

9. A method for calculating assembly time for fitters according to claim 7, characterized in that: When the real-time number of work badges is less than the actual number of fitters, perform the following operations: First, mark the difference between the real-time number of work badges and the actual number of fitters as an anomaly of not wearing a work badge. Then, use a camera to detect personnel who are not wearing obvious work badges, select the personnel and capture their images. Then, trigger a voice prompt in the work area to ask them to wear their work badges. At the same time, push verification information including the captured image of the personnel, their work area and the time of the anomaly to the management personnel.

10. A system containing a method for calculating assembly time for fitters as described in claim 1, 2, or 3, characterized in that: The system includes: a positioning and monitoring module, an image acquisition module, and a data processing module; The positioning monitoring module includes a positioning base station and a work badge positioning tag; The positioning base stations are arranged around the work area, and the work badge positioning tag is set in the work badge worn by the fitter. The positioning base stations receive pulse signals sent in real time by the work badge positioning tag. The positioning base stations are connected to the switch through wired or wireless connection, and transmit the fitter's positioning data and identity information contained in the pulse signal to the data processing module through the switch. The image acquisition module includes a camera and a hard disk recorder; The camera is connected to the hard disk recorder via a network cable. The camera's shooting range includes the work area. The captured image data is transmitted to the hard disk recorder for storage in real time. The hard disk recorder is connected to the switch via a wired or wireless connection, and the image data is transmitted to the data processing module through the switch. The data processing module includes a personnel location analysis unit, an automatic working time calculation unit, an image recognition processing unit, and a storage unit; The personnel location analysis unit receives fitter location data and identity information transmitted from the switch, analyzes whether the fitter is in the work area and identifies the fitter's identity. If the analysis result indicates that the fitter is in the work area, the fitter location data and identity information are transmitted to the automatic time calculation unit. The automatic time calculation unit calculates the time difference between the fitter's entry and exit from the work area based on the worker location data, generates fitter time statistics, and transmits the fitter time statistics to the storage unit. The image recognition processing unit analyzes the image data and identifies the worker's operating behavior and status. The storage unit stores worker location data, time statistics, and image data.

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