Food packaging workshop production line efficiency management system
By collecting data in real time through smart bracelets and quality inspection equipment, and combining this with data management and management decision-making modules, the problem of insufficient multi-dimensional evaluation in the food packaging workshop production line has been solved, resulting in improved production efficiency and product quality, and increased employee motivation.
Patent Information
- Application Number
- CN202511098904.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-06
- Publication Date
- 2025-11-07
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing management system for food packaging workshop production lines lacks multi-dimensional comprehensive evaluation, has insufficient data accuracy and real-time performance, and lacks flexibility in management decisions, making it difficult to improve production efficiency and product quality simultaneously.
By using smart bracelets and quality inspection equipment to collect the frequency of employees' hand movements and quality inspection pass characteristics in real time, and combining the data management module and management decision module, the system can dynamically adjust employees' rest time and task allocation to achieve multi-dimensional evaluation and flexible management decisions.
It enables a comprehensive and accurate assessment of employee work speed and product quality, improves production line efficiency and product quality, adapts to dynamic changes in the production process, and motivates employees to increase their work enthusiasm.
Smart Images
Figure CN120912005A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of production line efficiency management, and particularly relates to a food packaging workshop production line efficiency management system. BACKGROUND
[0002] In the production management of a food packaging workshop, improving production line efficiency and guaranteeing product quality have always been important goals pursued by enterprises.
[0003] Traditional production line management methods mainly rely on manual experience and regular quality sampling, and such methods have the problems of low efficiency, inaccurate data and inability to monitor in real time.
[0004] With the development of science and technology, some enterprises have begun to introduce intelligent equipment and management systems, but these systems often only focus on a single production indicator and lack comprehensive evaluation of the production process, and only focus on the packaging speed of employees while ignoring the product quality inspection pass rate, which will lead employees to ignore quality in pursuit of speed or reduce production speed to ensure quality, thus failing to maximize production efficiency.
[0005] The actual working state and fatigue degree of employees are not fully considered in the process of production efficiency management, which specifically manifests that reasonable task allocation and rest arrangement cannot be made according to the actual working efficiency of employees, and thus employees are prone to excessive fatigue or unsatisfactory work.
[0006] The data collection method of part of the prior art is not accurate enough, and the detection of product quality is only regular sampling, which cannot reflect the quality status in the whole production process in real time.
[0007] In addition, production data cannot be converted into effective management decisions in a timely manner, and even if problems in the production process are found, the problems may be magnified due to untimely feedback, affecting the overall efficiency of the production line, and the existing management system usually adopts fixed production standards and evaluation indicators, which is difficult to adapt to dynamic changes in the production process. SUMMARY
[0008] The technical problem to be solved by the present application is that the prior art lacks multi-dimensional comprehensive evaluation, data accuracy and real-time performance are insufficient, and management decisions lack flexibility, and therefore the present application provides a food packaging workshop production line efficiency management system.
[0009] The technical scheme mainly comprises: a food packaging workshop production line efficiency management system, comprising a data collection module, a data management module and a management decision module. The data collection module is used to acquire hand activity frequency information of employees in a current monitoring management interval in real time. The data collection module is used to acquire hand activity frequency information of employees in a current monitoring management interval in real time. The data management module is configured to receive the hand activity frequency information and the quality inspection qualified feature; The hand activity reference frequency feature, the quality inspection reference qualified feature and the reference efficiency evaluation feature stored in the data management module are extracted; The remaining time feature until the current monitoring management interval is obtained; According to the hand activity frequency information, the quality inspection qualified feature, the hand activity reference frequency feature and the quality inspection reference qualified feature, a comprehensive efficiency feature is obtained; According to the comprehensive efficiency feature, the reference efficiency evaluation feature and the remaining time feature, a time adjustment feature is obtained; The management decision module receives and executes the adjustment of the time adjustment feature.
[0010] The data collection module includes a bracelet collection unit and a quality inspection collection unit; The device used by the bracelet collection unit includes a smart bracelet, which is used to obtain the hand activity frequency information; The device used by the quality inspection collection unit includes a quality inspection device, which is used to obtain the quality inspection qualified feature; The device used by the data management module includes a server, and the data management module includes a hand activity efficiency evaluation unit, a comprehensive efficiency evaluation unit and a rest adjustment providing unit; The hand activity efficiency evaluation unit is configured to obtain a hand activity efficiency feature; The comprehensive efficiency evaluation unit is configured to obtain the comprehensive efficiency feature; The rest adjustment providing unit is configured to obtain the time adjustment feature; The device used by the management decision module includes an intelligent attendance system, which is used to adjust the remaining time feature according to the time adjustment feature.
[0011] The hand activity frequency information includes a monitoring frequency feature in the current monitoring management interval and a single activity frequency feature under the monitoring frequency feature; The hand activity efficiency evaluation unit obtains a hand average activity feature according to the monitoring frequency feature and the single activity frequency feature; The hand activity efficiency feature is obtained according to the hand average activity feature and the hand activity reference frequency feature; The hand activity efficiency evaluation unit measures whether the work speed of the employee meets the standard by comparing the actual hand average activity feature of the employee with the hand activity reference frequency feature, and provides a speed dimension feature for comprehensive evaluation.
[0012] The providing rest adjustment unit obtains a quality inspection qualified difference feature according to the quality inspection qualified feature and the quality inspection benchmark qualified feature; According to the quality inspection qualified difference feature and the hand activity efficiency feature, the comprehensive efficiency feature is obtained; Combined with the hand activity efficiency feature of the hand activity efficiency evaluation unit and the product quality inspection qualified rate, the comprehensive work performance evaluation is more objective.
[0013] The comprehensive efficiency evaluation unit obtains a comprehensive efficiency difference feature according to the comprehensive efficiency feature and the benchmark efficiency evaluation feature; According to the comprehensive efficiency difference feature and the remaining time feature, the time adjustment feature is obtained; The comprehensive efficiency evaluation unit dynamically adjusts the rest time of the employee according to the difference between the comprehensive efficiency feature and the benchmark efficiency evaluation feature, so as to encourage the employee to improve the work efficiency.
[0014] The benchmark efficiency evaluation feature is obtained by the data management module in the benchmark initial setting stage, and the specific acquisition is as follows: According to the hand activity efficiency evaluation unit, the hand activity efficiency features of m employees are obtained, wherein m is greater than 1; According to the hand activity efficiency features of m employees, the hand activity efficiency historical average feature is obtained; According to the hand activity efficiency historical average feature and the way of obtaining the comprehensive efficiency feature by the comprehensive efficiency evaluation unit, the comprehensive efficiency features of m employees are obtained; According to the comprehensive efficiency features of m employees, the benchmark efficiency evaluation feature is obtained.
[0015] The remaining time feature is subtracted from the time adjustment feature to obtain a shortened remaining time feature; The remaining time feature is added to the time adjustment feature to obtain an increased remaining time feature.
[0016] When the employee uses the remaining time feature to rest, the bracelet collection unit and the quality inspection collection unit stop collecting by the employee pressing the stop production button by himself, so as to avoid errors in the current monitoring management interval collection, evaluation and adjustment.
[0017] The quality inspection collection unit collects the quality inspection qualified results of m employees after the quality inspection equipment detects the packaging; The quality inspection collection unit transmits the m quality inspection qualified results to the data management module; The data management module acquires m quality inspection qualified results, and acquires the quality inspection reference qualified characteristics according to an arithmetic mean method based on the m quality inspection qualified results.
[0018] Technical effects and advantages of the present application: In the present application, the hand activity frequency information received by the data management module reflects the work speed of the employee, and the hand activity efficiency characteristic is combined with the product quality inspection qualified characteristic, so that the work efficiency of the employee and the product quality can be comprehensively and accurately reflected.
[0019] In the present application, the intelligent bracelet and advanced quality inspection equipment are used for data acquisition, which improves the accuracy and real-time performance of the data.
[0020] In the present application, the management decision module receives and executes the adjustment of the time adjustment characteristic, so that the dynamic adjustment of the rest time is realized.
[0021] In addition, the system adjusts the reference efficiency evaluation characteristic according to the actual situation of the production line in real time to adapt to the dynamic changes in the production process. BRIEF DESCRIPTION OF DRAWINGS
[0022] Figure 1 The efficiency management flowchart of the food packaging workshop production line efficiency management system; Figure 2 The acquisition management schematic diagram of the data acquisition module in the present application; Figure 3 The management schematic diagram of the data management module in the present application; Figure 4 The detailed schematic diagram of the management acquisition process in the present application; Figure 3 Specific embodiments
[0023] The present application will be further described in detail in combination with the drawings and preferred embodiments.
[0024] Reference Figure 1 As shown, the present application provides a technical solution: a food packaging workshop production line efficiency management system, comprising a data acquisition module, a data management module, a management decision module; The data acquisition module is used to acquire the hand activity frequency information of the employee in the current monitoring management interval in real time; The cumulative quality inspection qualified characteristics of the employee to the current monitoring management interval are acquired; The data management module is used to receive the hand activity frequency information and the quality inspection qualified characteristics; The hand activity reference frequency characteristics, the quality inspection reference qualified characteristics and the reference efficiency evaluation characteristics stored in the data management module are extracted; The remaining time characteristics up to the current monitoring management interval are acquired; According to the hand activity frequency information, the quality inspection qualified characteristics, the hand activity reference frequency characteristics and the quality inspection reference qualified characteristics, the comprehensive efficiency characteristics are acquired; According to the comprehensive efficiency characteristics, the reference efficiency evaluation characteristics and the remaining time characteristics, the time adjustment characteristics are acquired; The management decision module receives and executes the adjustment of the time adjustment characteristics; The data acquisition module includes a bracelet acquisition unit and a quality inspection acquisition unit; The device used by the bracelet acquisition unit includes a smart bracelet, which is used to acquire the hand activity frequency information; The device used by the quality inspection acquisition unit includes a quality inspection device, which is used to acquire the quality inspection qualified characteristics; The quality inspection acquisition unit acquires the quality inspection qualified results of m employees after the quality inspection device detects the packaging; The quality inspection acquisition unit transmits the m quality inspection qualified results to the data management module; The data management module acquires the m quality inspection qualified results, and acquires the quality inspection reference qualified characteristics according to the arithmetic average method The device used by the data management module includes a server, and the data management module includes a hand activity efficiency evaluation unit, a comprehensive efficiency evaluation unit and a rest adjustment unit; The hand activity efficiency evaluation unit is used to acquire the hand activity efficiency characteristics; The comprehensive efficiency evaluation unit is used to acquire the comprehensive efficiency characteristics; The rest adjustment unit is used to acquire the time adjustment characteristics; The device used by the management decision module includes an intelligent attendance system, which is used to adjust the remaining time characteristics according to the time adjustment characteristics.
[0025] In this embodiment, the hand activity efficiency assessment unit uses a smart bracelet to collect hand activity frequency information, and the data management module obtains hand activity efficiency characteristics for evaluating work speed, providing the system with a basis for employee speed performance. The comprehensive efficiency assessment unit combines the quality inspection pass characteristics obtained by the quality inspection equipment with the hand activity efficiency characteristics obtained by the hand activity efficiency assessment unit, enabling the system to comprehensively assess employee efficiency. The rest adjustment unit provides dynamic adjustment of rest time in the management decision module based on the hand activity efficiency assessment unit, the comprehensive efficiency assessment unit, and the hand activity efficiency characteristics and comprehensive efficiency characteristics. The collaborative management of the data acquisition module, data management module, and management decision-making module enables the system to evaluate employees from multiple dimensions, provide real-time and accurate data feedback, and flexibly adjust management strategies, thereby effectively improving production line efficiency and product quality and optimizing resource utilization.
[0026] Reference Figure 1 As shown in this implementation plan: the hand activity frequency information includes the monitoring frequency characteristics within the current monitoring and management interval, and the single activity frequency characteristics under the monitoring frequency characteristics; The hand activity efficiency assessment unit obtains the average hand activity characteristics based on the characteristics of the number of monitoring sessions and the frequency characteristics of a single activity. Hand activity efficiency characteristics are obtained based on average hand activity characteristics and baseline hand activity frequency characteristics. The specific formula for calculating the efficiency characteristics of hand movements is as follows: ; in: S1 represents the hand activity efficiency characteristic reflecting the degree to which the employee's hand activity frequency meets the standard frequency; n represents the number of monitoring times within the current monitoring and management interval on that day; P i P0 represents the frequency characteristics of the i-th single activity within the current monitoring and management interval on that day, and P0 represents the reference frequency characteristics of hand activities reflecting the standard frequency. The calculation is used to obtain the average hand movement characteristics.
[0027] This embodiment: The frequency characteristics P of an employee's single activity across n monitoring intervals... i Statistical analysis was conducted, through The calculation obtains the average hand activity characteristics and compares them with the preset hand activity baseline frequency characteristics to obtain the hand activity efficiency characteristics S1. This allows the employee's work speed to be quantified, thus enabling an intuitive understanding of how fast or slow each employee operates on the production line, providing clear data support for subsequent management decisions.
[0028] The staff can clearly see the difference between their own work speed and the standard requirement through the value of the hand activity efficiency feature S1: When the hand activity efficiency feature S1 is lower than 100%, the staff will realize that they need to speed up the work pace; When the hand activity efficiency feature S1 is higher than 100%, the staff will feel a sense of achievement, which can further stimulate their work enthusiasm, thereby improving the overall packaging speed of the production line.
[0029] According to the hand activity efficiency feature S1, the manager can reasonably allocate production tasks. For staff with high hand activity efficiency feature S1 and fast work speed, some urgent or heavy tasks can be arranged. For staff with low hand activity efficiency feature S1, more training and guidance can be given, or relatively simple tasks can be allocated, so as to improve the overall efficiency of the production line.
[0030] Referring to Figure 1 In the embodiment, the comprehensive efficiency evaluation unit obtains a quality inspection qualified difference feature according to the quality inspection qualified feature and the quality inspection standard qualified feature; obtains a comprehensive efficiency feature according to the quality inspection qualified difference feature and the hand activity efficiency feature; The specific calculation formula of the comprehensive efficiency feature is as follows: ; Wherein: S2 is a comprehensive efficiency feature considering the hand activity efficiency of the staff and the product quality, G is the quality inspection qualified feature of the product in the current monitoring management interval, and G0 is the pre-set quality inspection standard qualified feature of the product.
[0031] In this embodiment, the comprehensive efficiency evaluation unit introduces the important factor of the product quality inspection qualified rate composed of the quality inspection qualified feature G and the quality inspection standard qualified feature G0 based on the hand activity efficiency feature S1 obtained by the hand activity efficiency evaluation unit. By measuring the difference between the actual qualified rate and the standard qualified rate, and combining it with the hand activity efficiency feature S1, the comprehensive efficiency feature S2 is obtained, which makes the evaluation not only focus on the work speed, but also consider the product quality, avoiding the problem that the staff ignores the quality in order to pursue the speed.
[0032] Based on the calculation of the comprehensive efficiency evaluation unit, in order to improve the comprehensive efficiency feature S2, the staff not only needs to speed up the work speed, but also needs to ensure the product quality, because even if the work speed is very fast, if the quality inspection qualified feature G is low, the comprehensive efficiency feature S2 will not be ideal. This mechanism encourages the staff to pay more attention to operation specification and quality control in the work process, thereby improving the product quality level and efficiency of the entire production line.
[0033] Referring to Figure 1In the embodiment shown: the rest adjustment unit is provided to obtain a comprehensive efficiency difference feature according to the comprehensive efficiency feature and the benchmark efficiency evaluation feature; According to the comprehensive efficiency difference feature and the remaining time feature, a time adjustment feature is obtained; The specific calculation formula of the time adjustment feature is as follows: ; Among them: ΔT is the time adjustment feature reflecting the adjustment direction of the remaining time, T r S0 is the benchmark efficiency evaluation feature obtained by the data management module in the benchmark initial setting stage.
[0034] In this embodiment: the rest adjustment unit is provided to obtain an output time adjustment feature ΔT according to the comparison result of the comprehensive efficiency feature S2 and the benchmark efficiency evaluation feature S0: When the comprehensive efficiency feature S2 is higher than the benchmark efficiency evaluation feature S0, the time adjustment feature ΔT is positive, and the rest time of the employee will be increased, which is a reward for the high efficiency of the employee; When the comprehensive efficiency feature S2 is lower than the benchmark efficiency evaluation feature S0, the time adjustment feature ΔT is negative, and the rest time of the employee will be shortened to motivate the employee to improve work efficiency; This dynamic adjustment mechanism can flexibly allocate rest time according to the actual work performance of the employee, improve the work enthusiasm of the employee and the overall efficiency of the production line.
[0035] By reasonably adjusting the rest time of the employee through the time adjustment feature ΔT, human resources can be better utilized, and the situation of excessive fatigue and unsaturated work of the employee can be avoided, so that the employee can work in the best working state, thereby further improving the utilization efficiency of production resources.
[0036] It is worth noting that the time adjustment feature ΔT obtained by the rest adjustment unit will affect the remaining time feature of the employee for the day, and the adjustment of the rest time will also affect the working state of the employee, and further affect the hand activity efficiency feature S1 in the hand activity efficiency evaluation unit. When the employee gets more rest time because of high efficiency, they will have more energy and motivation in subsequent work, and the hand activity frequency will increase, so that the hand activity efficiency feature S1 rises, on the contrary, if the rest time is shortened, the employee will realize that they need to improve work efficiency, and will also try to speed up the hand activity frequency, which will also promote the hand activity efficiency feature S1 to rise. This circular influence forms a positive incentive mechanism, which continuously promotes the employee to improve the work speed.
[0037] Reference Figure 1As shown, in the present embodiment: the benchmark efficiency evaluation feature is specifically acquired by the data management module in the benchmark initial setting stage, and the specific acquisition is as follows: According to the hand activity efficiency evaluation unit, the hand activity efficiency features of m employees are acquired, wherein m is greater than 1; According to the hand activity efficiency features of the m employees, the hand activity efficiency historical average feature is acquired; According to the hand activity efficiency historical average feature and the way of acquiring the comprehensive efficiency feature by the comprehensive efficiency evaluation unit, the comprehensive efficiency features of the m employees are acquired; According to the comprehensive efficiency features of the m employees, the benchmark efficiency evaluation feature is acquired; The remaining time feature is subtracted from the time adjustment feature to acquire the shortened remaining time feature; The remaining time feature is added to the time adjustment feature to acquire the increased remaining time feature; The specific calculation formulas of the hand activity efficiency historical average feature and the benchmark efficiency evaluation feature are as follows: ; Wherein: S10 is the hand activity efficiency historical average feature, m is the number of employees calculated in the benchmark initial setting stage, S1 j is the hand activity efficiency feature of the jth employee, S2 j is the comprehensive efficiency feature of the jth employee.
[0038] In the present embodiment: the reasonable benchmark efficiency evaluation feature S0 is formulated based on actual production data and industry level, which is both challenging and makes employees feel that they can achieve it through efforts. When employees see the clear efficiency target-benchmark efficiency evaluation feature S0, they will be more motivated to improve their work efficiency and operation speed, thereby improving the output of the production line as a whole.
[0039] In addition, when the benchmark efficiency evaluation feature S0 is associated with product quality, the setting of the benchmark efficiency evaluation feature S0 can be adjusted according to the quality targets of different periods. If it is desired to further improve the quality inspection qualified feature G of the product, the weight of the quality factor in the benchmark efficiency evaluation feature S0 can be appropriately increased to prompt employees to pay more attention to the details of product quality, thereby realizing the continuous improvement of product quality.
[0040] With the passage of time, the change of employee efficiency will be fed back to the calculation result of the formula, if most employees can easily exceed the benchmark efficiency evaluation feature S0, it means that the current production standard is low, the system can further optimize the production process and improve the equipment performance to pursue higher production efficiency, on the contrary, if most employees are difficult to reach the benchmark efficiency evaluation feature S0, it is necessary to check whether there is a bottleneck in the production link, including equipment failure, raw material supply problem, and solve it in time.
[0041] Referring to Figure 1 In the embodiment, the bracelet collection unit and the quality inspection collection unit stop collecting when the employee uses the remaining time feature to rest by pressing the stop production button by himself.
[0042] In the embodiment, when the employee needs to rest, the setting of pressing the stop production button by himself can avoid the continuous collection of the data collection module on the hand activity frequency information, and further avoid the reduction of the hand activity efficiency feature S1 of the current monitoring management interval due to continuous collection, so that the negative value of the time adjustment feature ΔT occurs, thereby ensuring the accuracy of the collection management of the employee on the production line.
[0043] It should be noted that any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application should also be within the protection scope of the present application.
Claims
1. A food packaging plant line efficiency management system characterized by: The data acquisition module, the data management module, and the management decision module are included. The data acquisition module is configured to acquire hand activity frequency information of an employee in a current monitoring management interval in real time. The data acquisition module is configured to acquire a quality inspection qualified feature accumulated by the employee to the current monitoring management interval. The data management module is configured to receive the hand activity frequency information and the quality inspection qualified feature. The data management module is configured to extract a hand activity reference frequency feature, a quality inspection reference qualified feature, and a reference efficiency evaluation feature stored in the data management module. The data management module is configured to acquire a remaining time feature until the current monitoring management interval. The data management module is configured to acquire a comprehensive efficiency feature according to the hand activity frequency information, the quality inspection qualified feature, the hand activity reference frequency feature, and the quality inspection reference qualified feature. The data management module is configured to acquire a time adjustment feature ΔT according to the comprehensive efficiency feature, the reference efficiency evaluation feature, and the remaining time feature. The management decision module receives and executes the adjustment of the time adjustment feature. ； T r S0 is the reference efficiency evaluation feature acquired by the data management module in the reference initial setting stage; The data acquisition module includes a bracelet acquisition unit and a quality inspection acquisition unit.
2. A food packaging plant line efficiency management system according to claim 1, characterized in that: The bracelet acquisition unit includes a smart bracelet configured to acquire the hand activity frequency information. The quality inspection acquisition unit includes a quality inspection device configured to acquire the quality inspection qualified feature. The data management module includes a hand activity efficiency evaluation unit, a comprehensive efficiency evaluation unit, and a rest adjustment providing unit. The hand activity efficiency evaluation unit is configured to acquire a hand activity efficiency feature S1. The comprehensive efficiency evaluation unit is configured to acquire the comprehensive efficiency feature S2. G is a quality inspection qualified feature of a product in the current monitoring management interval, and G0 is a pre-set quality inspection reference qualified feature of the product. ； n is the number of monitoring features in the current monitoring management interval of the day, P i is the i-th single activity frequency feature in the current monitoring management interval of the day, P0is the hand activity reference frequency feature reflecting the standard frequency; The rest adjustment providing unit is configured to acquire the time adjustment feature ΔT. The management decision module includes an intelligent attendance system configured to adjust the remaining time feature according to the time adjustment feature ΔT. ； The hand activity frequency information includes a monitoring frequency feature in the current monitoring management interval and a single activity frequency feature under the monitoring frequency feature. The hand activity efficiency evaluation unit is configured to acquire a hand average activity feature according to the monitoring frequency feature and the single activity frequency feature. The comprehensive efficiency evaluation unit is configured to acquire a quality inspection qualified difference feature according to the quality inspection qualified feature and the quality inspection reference qualified feature.
3. A food packaging plant line efficiency management system according to claim 2, wherein: The comprehensive efficiency evaluation unit is configured to acquire the comprehensive efficiency feature according to the quality inspection qualified difference feature and the hand activity efficiency feature. The rest adjustment providing unit is configured to acquire a comprehensive efficiency difference feature according to the comprehensive efficiency feature and the reference efficiency evaluation feature. The rest adjustment providing unit is configured to acquire the time adjustment feature ΔT according to the comprehensive efficiency difference feature and the remaining time feature.
4. A food packaging plant line efficiency management system according to claim 3, wherein: 5. A food packaging plant line efficiency management system according to claim 4, wherein: 6. A food packaging plant line efficiency management system according to claim 5, wherein: The benchmark efficiency evaluation feature is specifically acquired by the data management module in the benchmark initial setting stage, and the acquisition is specifically as follows: According to the hand activity efficiency evaluation unit, the hand activity efficiency features of m employees are acquired, where m is greater than 1; According to the hand activity efficiency features of m employees, the hand activity efficiency historical average features are acquired; According to the hand activity efficiency historical average features and the comprehensive efficiency evaluation unit, the comprehensive efficiency features of m employees are acquired in the manner of acquiring the comprehensive efficiency features; According to the comprehensive efficiency features of m employees, the benchmark efficiency evaluation features are acquired; Wherein, the specific calculation formulas of the hand activity efficiency historical average features S10 and the benchmark efficiency evaluation features S0 are as follows: ； S1 j S2 is the hand activity efficiency characteristic for the jth employee j Sj is the comprehensive efficiency characteristic for the jth employee 7. A food packaging plant line efficiency management system according to claim 5, wherein: The remaining time features are subtracted from the time adjustment features to acquire the shortened remaining time features; The remaining time features are added to the time adjustment features to acquire the increased remaining time features.
8. A food packaging plant line efficiency management system according to claim 2, wherein: The wristband collection unit and the quality inspection collection unit stop collecting when the employees press the stop production button by themselves when the employees use the remaining time features to rest.
9. A food packaging plant line efficiency management system according to claim 6, wherein: The quality inspection collection unit collects the quality inspection qualified results of m employees after the quality inspection equipment detects the employees after the employees are packaged; The quality inspection collection unit transmits the m quality inspection qualified results to the data management module; The data management module acquires the m quality inspection qualified results, and acquires the quality inspection benchmark qualified features according to the m quality inspection qualified results by using the arithmetic average method.