Standard man-hour statistical system, statistical method and equipment

Abstract

The invention provides a standard man-hour statistical system, statistical method and equipment, and the method comprises the steps: dividing a production region into an operation region and an auxiliary operation region, and collecting all kinds of informatization data of all informatization systems in the operation region; supplementing and screening the informatization data, and eliminating invalid man-hour data in the informatization data; performing analysis according to the screened informatization data, and performing calculation to obtain standard man-hour data; and a user inquires required standard man-hour data according to requirements. The production area is finely divided, the access control equipment is arranged in the operation area, the actual working time of workers in the operation area is accurately recorded, the standard working hour statistical system integrates data, and the accuracy of standard working hour calculation is improved.

Description

Technical Field

[0001] The present invention relates to the fields of labor management and computer technology, and in particular to a standard working hours statistics system, a statistics method and a device. Background Art

[0002] Shipbuilding companies are employment-intensive enterprises with a large group of manual laborers and a variety of jobs. The production model of such companies includes both assembly line operations and large-scale production activities. In today's increasingly competitive market, shipyards urgently need accurate and detailed standard working hours data as support when participating in project bidding and cost accounting. For example, in the bidding process, accurate standard working hours can help companies estimate production costs more accurately and thus formulate competitive quotations; in terms of cost accounting, standard working hours can help companies clearly understand the human cost investment in each production link, providing strong support for cost control.

[0003] However, the methods currently used by shipbuilding enterprises to obtain standard working hours include the stopwatch method, the model method, the WF simple method, and the MTM method. All of them have their own limitations. For example, the stopwatch method, the model method, and the WF simple method require special personnel to operate and are for fixed scenarios; once the product model changes, it needs to be recalculated, which is obviously not applicable to the multi-model production environment of the shipyard. The MTM method requires professionals to carry out precise design, and has high requirements on the professional quality of personnel. There is also the problem of needing to recalculate when the product model changes. In addition, since the ship orders received by the shipyard are often the first to manufacture more models, there is a lack of ready-made reference basis. Even if there are ships of the same model for reference, the actual total working hours data is often derived from manual reporting, and it is difficult to accurately eliminate invalid working hours and relaxed working hours, resulting in distorted calculation results. Therefore, how to continuously and accurately count standard working hours data has become a major problem facing shipyards. Summary of the invention

[0004] In view of the problems existing in the methods for obtaining standard working hours in the prior art as described above, the present invention proposes a standard working hour statistics system, statistics method and equipment.

[0005] In one aspect, the present invention provides a standard working time statistics system, which comprises:

[0006] Connecting to the data source module, connecting to the enterprise's information system, to collect various types of information data in the information system, including all working hours data;

[0007] A data cleaning module, used for parsing the informationized data and converting the informationized data into the same format;

[0008] A patch rule module is provided with screening rules, and invalid working hours in the informationized data are eliminated according to the screening rules;

[0009] An analysis and calculation module calculates standard working hours data based on the screened information data;

[0010] A data lake module, used to store the informationized data and the calculated standard working hours data;

[0011] The query website module is used to input query conditions and query and retrieve the required standard working time information in the data lake module according to the query conditions.

[0012] Optionally, it also includes: a data dashboard module integrating user interaction functions, and the data dashboard module is used to display the change trend of the standard working hours under multiple statistical dimensions.

[0013] Optionally, the information system includes: a face recognition access control system, a personnel system, a security system, a work dispatching and reporting system, a workshop environmental control system and an industrial control system.

[0014] Optionally, the information data includes: basic information of employees, working hours, workload, environmental parameters, and equipment operating status.

[0015] Optionally, the screening rules include the experience of managers and experts in calculating standard working hours or identifying anomalies.

[0016] Another aspect of the present invention provides a standard working time statistics method, wherein the standard working time statistics method adopts a standard working time statistics system including any one of the above, and the standard simultaneous statistics method includes the following steps:

[0017] Divide the production area into an operation area and an auxiliary operation area, and set up access control equipment for each of the operation areas;

[0018] Collect various types of information data from all information systems in the operation area;

[0019] Completing and screening the informationized data, and eliminating invalid working hours data in the informationized data;

[0020] Analyze the screened information data and calculate the standard working hours data;

[0021] Users can query the required standard working time data according to their needs.

[0022] Optionally, the information data includes all working time data, basic information of employees, workload, environmental parameters, and equipment operating status in the working area.

[0023] Optionally, the working area is cut to ensure that only one type of work exists in each working area.

[0024] Optionally, the access control device includes one or a combination of a face recognition access control device, a fingerprint recognition access control device or a password access control device.

[0025] Another aspect of the present invention provides a standard working time counting device, comprising:

[0026] A server for running any of the above-mentioned standard working time statistics systems;

[0027] A storage unit, used to store the operation data of the server;

[0028] The client system is provided with a user interaction interface for users to manage the standard working time statistics system;

[0029] Management display; used to display the operating status and output statistical results to the user.

[0030] As described above, the standard working hours statistics system and its statistics method and device provided by the present invention have at least the following beneficial technical effects:

[0031] The standard working hours statistics system of the present invention includes a data source docking module and a data cleaning module, which can effectively integrate the data of multiple information systems. It is also provided with a patch rule module, which can utilize the experience of management personnel and external experts to formulate specific rules to eliminate time that does not belong to standard working hours, thereby improving the accuracy and reliability of standard working hours data.

[0032] The standard working hours statistics method of the present invention divides the production operation area into fine parts, sets access control equipment for the operation area, takes the time when workers enter the production area as the actual working hours, removes the time when workers leave the production area as invalid work, and calculates the standard working hours of each person on the day based on the workload reported by the workers as a parameter. Combined with the work type information, team information, date, environmental data, equipment information, etc., the historical data and trend analysis of the enterprise standard working hours are formed. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 Shown is a schematic diagram of the composition of the standard working hours statistics system provided in Example 1.

[0034] Figure 2 A flow chart showing the standard working hours statistics method provided by this embodiment.

[0035] Figure 3 Shown is a schematic diagram of the production area transformation provided for this embodiment.

[0036] Figure 4 A schematic diagram showing the multi-zone installation of access control equipment provided for this embodiment.

[0037] Figure 5 The display is the standard working time counting device provided by this embodiment.

[0038] Reference numerals

[0039] 10. Information system; 101. Face recognition access control system; 102. Human resources system; 103. Security system; 104. Work dispatch and reporting system; 105. Workshop environmental control system; 106. Industrial control system; 107. Warehouse management system; 108. Quality management system; 11. Data source connection module; 12. Data cleaning module; 13. Patch rule module; 14. Analysis and calculation module; 15. Data lake module; 16. Query website module; 17. Data dashboard module.

[0040] 20. Factory 1; 201. Cutting area; 202. Assembly area; 21. Factory 2; 211. Processing area; 22. Factory n; 221. Production area; 23. Open-air production area; 24. Dining area; 25. Office area; 26. Rest area; 27. Toilet area; 28. Material receiving area; 29. ​​Auxiliary rooms.

[0041] 3. Access control device; 30. Server; 31. Storage unit; 32. Client system; 33. Management display; 34. Data visualization device. DETAILED DESCRIPTION

[0042] The following describes the embodiments of the present invention through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention.

[0043] It should be noted that the illustrations provided in this embodiment only illustrate the basic concept of the present invention in a schematic manner. Although the illustrations only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation, the form, quantity, positional relationship and proportion of each component in actual implementation can be changed at will under the premise of realizing the technical solution of this party, and the component layout form may also be more complicated.

[0044] Embodiment 1

[0045] This embodiment provides a standard working time statistics system, such as Figure 1As shown, it is a schematic diagram of the composition of the standard working time statistics system provided by this embodiment. The standard working time statistics system provided by this embodiment includes: a data source docking module 11, which is connected to the enterprise's information system 10 to collect various types of information data in the information system 10, and the information data includes all working time data; a data cleaning module 12, which is used to parse the collected information data and convert the information data into the same format; a patch rule module 13, which is provided with screening rules, and invalid working hours in the information data are eliminated according to the screening rules; an analysis and calculation module 14, which calculates standard working time data according to the screened information data; a data lake module 15, which is used to store the information data and the calculated standard working time data; a query website module 16, which is used to input query conditions and query and retrieve the required standard working time information in the data lake module according to the query conditions; a data dashboard module 17, which integrates user interaction functions, and the data dashboard module is used to display the change trend of the standard working time under multiple statistical dimensions.

[0046] Generally, the enterprise information system 10 connected to the data source module 11 includes: face recognition access control system 101, personnel system 102, security system 103, work dispatch and reporting system 104, workshop environmental control system 105, industrial control system 106 and other related systems; the acquired information data also includes employee basic information, working hours, employee workload, environmental parameters, equipment operating status and other data information related to the calculation of standard working hours.

[0047] Specifically, the face recognition access control system 101 is used to record the entry and exit time of employees. The data source module 11 is connected to the face recognition access control system to obtain information including employee name, entry and exit time, entry and exit area, etc., to provide detailed data for standard working hours statistics; the personnel system 102 records employee personal information and attendance. The data source module 11 is connected to the personnel system 102 to obtain employee name, employee length of service, type of work information, team information, position information, training information, and whether there is a qualification certificate and other information. The data source module 11 can automatically distinguish between certified personnel and uncertified probationary personnel, and conduct statistics by dimension, which meets the second requirement of the four elements of standard working hours: "normal operation, compliance with qualifications, standard methods, and normal speed."

[0048] Specifically, the security system 103 monitors the enterprise's safety status in real time through monitoring cameras and sensor equipment, including the behavior of employees in the production area and the initial entry of non-production areas. The docking data source module 11 is connected to the security system 103 to obtain the initial entry of employees and alarm information for monitoring employee behavior, and provides data support for eliminating non-production working hours; the dispatching and reporting system 104 is responsible for the allocation of dispatching tasks within the enterprise and the collection of employee reporting data. The docking data source module 11 is connected to the dispatching and reporting system 104 to obtain dispatching task data, employee reporting data and workload statistics, providing the system with multi-dimensional data support for employee workload, work efficiency and production progress; the workshop environmental control system 105 is responsible for monitoring and adjusting the environmental parameters in the workshop, such as temperature, humidity, air pressure, noise, dust and lighting. The docking data source module 11 is connected to the workshop environmental control system 105 to obtain environmental parameter data in the work workshop, which helps the system analyze the impact of the environment on employee work efficiency. The industrial control system 106 is responsible for monitoring and controlling the operating status of the production equipment, including information such as voltage, current, operating time and operator identity. The data source module 11 is connected to the industrial control system 106 to obtain the equipment operation data, operator identity information and production process data in the industrial control system, providing the system with multi-dimensional data support such as equipment efficiency, production progress and operator work efficiency.

[0049] Generally, the enterprise information system 10 connected to the data source module 11 also includes: a warehouse management system 107 for integrating data such as inventory status, material receipt and delivery, and inventory counting; a quality management system 108 for integrating data such as quality inspection reports, defective product processing, and quality improvement plans.

[0050] Generally, the data cleaning module 12 is used to parse the data collected from various information systems of the enterprise, associate personnel information, complete personnel information, and convert it into a standard format for subsequent structured storage. Specifically, the data format includes but is not limited to CSV, Excel, JSON, XML, etc., as well as the proprietary format of a specific system. For each format, the module needs to parse the internal structure of the data, including the name and data type, and associate the data information together, such as matching the personal information from the personnel system 102 with the workload of the dispatch and reporting system 104. In addition, the data cleaning module 12 can also complete the personnel information, and for the missing key information, such as the type of work information, it can be supplemented or adjusted manually. For the existing data but the information in a non-uniform format (such as the date format, the type of work information format, etc.), standardization is performed to ensure consistency, such as the type of work assigned is "welder", and some groups fill in "welder" or "electric welder". Inconsistent names lead to confusion in system storage and recognition, so the same standard format is required. Specifically, the data cleaning module 12 also performs logical checks, such as when there is a deviation between the working hours and the scheduled hours, when there are duplicate records, etc., identifies and deletes duplicate records to avoid data redundancy, and preliminarily eliminates hours that do not belong to standard working hours.

[0051] When processing complex working time data, the patch rule module 13 is not only responsible for managing and applying system patches, but also converts the experience of managers and external experts into specific rules to further eliminate time that does not belong to standard working hours, thereby improving the accuracy and reliability of working time data.

[0052] Specifically, the patch rule module 13 is provided with screening rules, and invalid working hours are removed according to the screening rules. In addition, the patch rule module 13 can automatically detect and download the latest system patches to ensure that the standard working hours statistics system is always in the latest state to reduce data errors caused by system vulnerabilities.

[0053] Generally, the screening rules include the experience of managers and experts in calculating standard working hours or identifying anomalies. Specifically, the patch rule module 13 converts the experience of managers and external experts in calculating working hours, identifying anomalies, etc. into screening rules, including working time range rules, setting a reasonable working time range, such as the working hours of a standard working day, and excluding working time records outside this range; project relevance rules, based on information such as project name, number or category, filter working time data related to a specific project to ensure that the project ownership of the data is clear; employee status rules, considering the employee's on-the-job status, leave records, and adjustment of leave, etc., to exclude ineffective working hours caused by personal reasons of employees; task type rules, setting screening conditions according to the nature of the task (such as R&D, testing, maintenance, etc.), which helps to analyze the contribution of different types of tasks to the total working hours. Contribution, and optimize task allocation; work efficiency rules: set work efficiency thresholds (such as output per unit time), identify and exclude working time records with abnormally low work efficiency; data consistency rules, check the consistency of working time data with other related data (such as project progress, cost expenditure, etc.); abnormal behavior pattern recognition, use machine learning algorithms to identify abnormal behavior patterns, such as frequent non-standard working time records, abnormally high working hours, etc. These patterns may indicate data entry errors or employee misconduct, and choose to retain or eliminate them after confirmation; time interval rules, analyze the time intervals between working time records, identify and exclude continuous, meaningless or extremely short working periods that may be caused by system errors or human negligence.

[0054] The analysis and calculation module 14 calculates the standard working hours based on the screened information data.

[0055] Generally, the calculation method of standard working hours includes statistical algorithms, algorithm modules, etc. In this embodiment, the analysis and calculation module 14 is provided with an algorithm module, which is based on the filtered data (data after eliminating invalid working hours and relaxation time), takes the time when workers enter the production area as the actual working hours, and calculates the standard working hours of each person on the day according to the workload data reported by the workers, combined with their job information, team information, date, environmental data and equipment information.

[0056] The data lake module 15 is used to store massive amounts of structured data, including information data collected by the data source module 11, long-term accumulation of standard working hours data, and the formation of the company's historical working hours database.

[0057] Generally, storage methods include but are not limited to distributed storage, and adding indexes can achieve a higher read speed.

[0058] Optionally, the data lake module 15 has a built-in cache mechanism that can cache hot data and commonly used query results to reduce the number of visits to storage nodes.

[0059] Optionally, the data lake module 15 provides security functions such as data encryption and access control to ensure the security of data during storage and transmission.

[0060] The query website module 16 is provided with a query window and a designed query function area. It utilizes the analysis function of the big data system to search in the data lake module according to the query conditions, mine and analyze the historical data, and form trend statistics in multiple dimensions such as date, type of work, team, ship number, ship type and single person.

[0061] Specifically, the query website module 16 integrates various data resources, optimizes the query interface, and displays the results of collection, storage and analysis by the big data system. Multiple query conditions can be set for combination; including query by date, type of work, team, ship number, ship type, season, single person and other multiple dimensions; provides trend statistics by date, type of work, team, ship number, ship type, single person and other multiple dimensions; the website displays various abnormal situations in the big data analysis results, including abnormally fast, abnormally slow, abnormal individuals, and abnormal teams; provides personal abnormal query and appeal functions, accurate to the photos of a single pass through the face scan access control and the photos appearing in the non-production area, so that managers can query the data collected by the standard working time statistics system and the analysis results.

[0062] The data dashboard module 17 integrates user interaction functions, and is used to display the changing trend of the standard working hours under multiple statistical dimensions.

[0063] Specifically, the dimensions of the standard working hours data displayed by the data dashboard module 17 include but are not limited to date, type of work, team, ship number, ship type, season, and single person, etc. Specifically, the data dashboard module 17 is used to display the statistical results of standard working hours under the standard working hours statistical system, and can automatically generate intuitive and dynamic charts according to needs to understand the situation of standard working hours, make design plans, and make total cost quotations based on the design plans.

[0064] Optionally, the data dashboard module 17 integrates a real-time monitoring function, which can monitor abnormal situations in the production process in real time, such as abnormally fast working hours, abnormally slow working hours, abnormal individuals or abnormal teams, etc. Once an abnormality is found, the data dashboard will immediately issue an alarm to remind management personnel to pay attention and take measures.

[0065] The standard working hours statistics system provided in this embodiment can effectively integrate data from multiple information systems of the enterprise (such as face recognition access control system, personnel system, security system, etc.), and organize the data into the same format, and improve the accuracy and availability of the data by parsing, associating and completing personnel information; the patch rule module uses the experience of managers and external experts to formulate specific rules to eliminate time that does not belong to standard working hours, thereby improving the accuracy and reliability of standard working hours data. In addition, the system can also identify and delete duplicate records, avoid data redundancy, and eliminate time that does not belong to standard working hours. In short, the standard working hours statistics system provided in this embodiment provides enterprises with more efficient, accurate and reliable working hours management solutions through technical means such as integrating data, improving data accuracy, providing multi-dimensional query and analysis, visual display, and promoting digital transformation.

[0066] Embodiment 2

[0067] This embodiment provides a standard working time statistics method, such as Figure 2 As shown, it is a flow chart of the standard working hours statistics method provided by this embodiment; it specifically includes the following steps:

[0068] S1: Divide the production area into an operation area and an auxiliary area, and set up access control equipment for each of the operation areas;

[0069] S2: Collect various information data of all information systems in the operation area;

[0070] S3: completing and screening the informationized data, and removing invalid working hours data in the informationized data;

[0071] S4: Analyze the screened information data and calculate the standard working hours data;

[0072] S5: Users query required standard working time data according to their needs.

[0073] Next, see Figure 3-Figure 4 , showing the specific steps of the standard working hours statistics method provided in this embodiment:

[0074] S1: Divide the production area into an operation area and an auxiliary area, and set up access control equipment for each of the operation areas;

[0075] Generally speaking, standard working hours refer to the time required to complete a production task under normal operating conditions, in accordance with qualifications, standard methods and normal speed. Standard working hours exclude invalid working hours and slack time. The invalid working hours specifically include the time workers spend in non-production areas, such as collecting materials, resting, eating, drinking, defecating and other personal time, as well as non-productive downtime caused by poor management or improper operation of workers; slack time refers to the extra time reserved for workers outside the standard working hours to deal with unexpected situations that may occur during the production process, such as equipment failure, material shortages, etc., and to meet the necessary physiological needs and psychological adjustments of workers, such as drinking water, short breaks, etc.

[0076] Therefore, in order to more accurately calculate the standard working hours, the production area is first divided. Specifically, Figure 3 As shown, it is a schematic diagram of the transformation of the production area provided in this embodiment; the production area is divided into an operation area and an auxiliary operation area. Generally, the operation area is a place where actual production activities are carried out, such as various workshops and factory buildings in a shipyard. Specifically, Figure 3 As shown, the working areas include: Factory 1 (20), Factory 2 (21), Factory n (22). These areas include areas directly used for product manufacturing or assembly, where workers perform specific production tasks; auxiliary working areas include: production preparation areas (such as material receiving area 28, tool room), rest areas (such as rest area 26, dressing room), non-production office areas (such as office area 25, conference room) and living service facilities areas (such as dining area 24, toilet area 27, water dispenser, auxiliary room 29), etc.

[0077] Furthermore, if there are multiple different types of work in a workshop, or the workshop or factory area is large, in order to clearly measure the standard working hours for each task, the workshop or factory needs to be cut and reduced. The cutting and division is first divided by work type to ensure that there is only one type of work in each work area. Secondly, it is divided according to the area of ​​the factory area, and the large building is divided into multiple small work areas. Optionally, when dividing the work area, it should also be ensured that each link in the same work process is completed in the same or adjacent area as much as possible; fully consider the optimization of equipment layout and space utilization; specifically, if Figure 3 As shown, the plant 1 (20) is further divided into two small plants by dividing the cutting area 201 and the assembly area 202 in the plant 1; there is only one processing area 211 in the plant 2 (21), and the production area 221 of the plant n (22) is divided accordingly. The working hours are recorded only in the area where the work is actually done, and the activity time of employees in non-production areas or the non-productive downtime caused by poor management or improper operation is eliminated. Each operation is subjected to separate quality inspection and precise monitoring.

[0078] Secondly, the open-air production area 23 is not included in the standard working hours because the open-air production area 23 is in a non-standardized environment and is affected by natural factors such as weather and temperature. Its production conditions are not stable enough and are difficult to monitor and manage.

[0079] Then, access control equipment is installed in each work area to accurately record the entry and exit of personnel. Specifically, access control equipment must be installed between areas to accurately record the work situation of personnel in the area. Generally, access control equipment includes: face recognition access control equipment, fingerprint recognition access control equipment, IC card access control equipment, password access control equipment, face recognition + biometric access control equipment, remote control access control equipment and other equipment, or a combination of several of them. Specifically, this embodiment uses a face recognition access control equipment.

[0080] Specifically, Figure 4 As shown, it is a schematic diagram of multi-area installation of access control equipment provided by this embodiment; Figure 4 It can be seen that the working area in the factory is divided into three working areas, namely area A, area B and area C. Area A is connected to area B and area C respectively. Access control equipment is installed at the entrance and exit of each area, and access control equipment is also installed at the junction of areas. Specifically, Figure 4 As shown, the multi-area factory provided in this embodiment needs to install at least 4 access control devices.

[0081] S2: Collect various information data from all information systems in the operation area. Build a standard working time statistics system, which is connected to various information systems to obtain information data. The standard working time statistics system includes the standard working time system described in Example 1, which is used to integrate and analyze data from different information systems.

[0082] Specifically, the standard working time system includes a data source docking module, a data cleaning module, a data lake module, a patch rule module, a query website module, and a data dashboard module. The standard working time statistics system is used to integrate and analyze data from different information systems.

[0083] Specifically, as described in one embodiment: the data source module is connected to the security system to obtain the employee's initial entry and alarm information, that is, to obtain the actual time the employee is in the work area; the data source module 11 is connected to the work dispatch and reporting system 104 to obtain the work dispatch task data, employee reporting data and workload statistics; the data source module 11 is connected to the workshop environmental control system 105 to obtain the environmental parameter data in the work workshop; the data source module 11 is connected to the industrial control system 106 to obtain the equipment operation data, operator identity information and production process data in the industrial control system.

[0084] In addition, the standard working time system will conduct a preliminary screening of the acquired information data, select obviously erroneous working time information, and remove it from the standard working time calculation process.

[0085] S3: completing and screening the informationized data, and eliminating invalid working hours data in the informationized data.

[0086] In this step, the standard working time statistics system further completes and screens the collected information.

[0087] First, based on experience and actual observations, combined with the opinions of external production experts, the company managers remove known abnormal situations from the database. Specifically, known abnormal situations include equipment failure, raw material shortages, personnel errors, personnel falsely reporting working hours, personnel not recording working hours through the access control system, and other non-standard working hours data. For abnormal situations, they are confirmed through communication with the production department, maintenance team or management personnel, and technical personnel, and are eliminated based on historical experience. By eliminating abnormal data, the data can be further purified and the accuracy of standard working hours calculation can be improved.

[0088] Secondly, the system also needs to perform logic checks and consistency checks on the collected data. Specifically, it includes checking whether the working hours are consistent with the scheduled time, whether there are duplicate records, etc. For illogical or duplicate data records, they need to be deleted or corrected. It also includes the completion of the actual working hours.

[0089] S4: Analyze the screened information data and calculate the standard working hours data

[0090] The standard working hours statistics system conducts in-depth analysis on the purified data. This includes analyzing the differences in standard working hours for different types of work, different teams, and different time periods; analyzing the impact of environmental parameters, equipment operating status and other factors on employee work efficiency; and analyzing bottlenecks and potential improvement points in the production process.

[0091] S5: Users query required standard working time data according to their needs.

[0092] Specifically, the standard working hours statistics system will output standard working hours based on the collected data and analysis results. Standard working hours data can provide important reference for enterprises to formulate production plans, arrange work tasks, evaluate employee performance, etc. At the same time, enterprises can also optimize and improve production processes based on standard working hours data to improve production efficiency and product quality.

[0093] In particular, the output of standard working hours is not a one-time process, but needs to be continuously updated and adjusted as production conditions change and data accumulates. Therefore, enterprises need to regularly maintain and update the standard working hours statistics system to ensure its accuracy and reliability.

[0094] In summary, the standard working hours statistics method provided in this embodiment effectively improves the accuracy and reliability of working hours data. By setting up access control equipment in the work area through refined area division, the actual working hours of workers in the work area can be accurately recorded, and invalid working hours can be effectively eliminated. The standard working hours statistics system integrates the data of the information system, purifies the effective working hours data, improves the accuracy of working hours calculation, and effectively reduces the production cost of calculating standard working hours. The accurate acquisition of standard working hours can optimize production management and decision support, enable enterprises to carry out cost control and performance evaluation based on standard working hours, and enhance the competitiveness of enterprises.

[0095] Embodiment 3

[0096] This embodiment provides a standard working time counting device, such as Figure 5 As shown, the standard working time statistics device provided in this embodiment at least includes: a server 30, a storage unit 31, a client system 32, a management display 33, a data visualization device 34 and other devices.

[0097] Specifically, the server 30 is provided with a high-performance server, which can provide high-density and high-performance computing capabilities, and is responsible for running the standard working hours statistics system described in the first embodiment, including data collection, data cleaning and processing, query website and data dashboard background computing, etc. Specifically, the number of servers can be flexibly expanded according to business needs to meet the growing data processing needs.

[0098] Specifically, the storage unit 31 is equipped with a high-capacity server and adopts a distributed storage architecture to ensure high availability and scalability of data. It has high-speed reading performance to ensure that the data after data cleaning can be quickly accessed and further analyzed by the system. It is also responsible for storing the cleaned data and supports data backup, recovery and other functions.

[0099] Specifically, the client system 32 is provided with a user interaction interface, allowing the user to manually define rules, configure system parameters, etc. Specifically, the client system 32 supports multi-platform access, including PC, mobile devices, etc., to ensure that the user can manage the system anytime and anywhere.

[0100] Specifically, the management display 33 is used to display the management page of the software system, which is convenient for the management personnel to monitor the operating status of the system in real time and perform daily maintenance work. Specifically, the management display has the characteristics of high resolution and high brightness, ensuring that the management page can be clearly and intuitively displayed to the management personnel.

[0101] Specifically, the data visualization device 34 is used to provide conference rooms, offices, team members and decision makers with data analysis at any time. Specifically, the data visualization device 34 can be composed of a TV set with an ordinary Android system, which is used to display a web page of the big data analysis results.

[0102] The standard working hours statistics device provided in this embodiment provides a solid hardware foundation for the standard working hours statistics system provided in Example 1, and also significantly improves the system's performance, security and user experience through optimization measures, providing strong support for the company's standard working hours measurement method.

[0103] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A standard working time statistics system, characterized in that: include: Connecting to the data source module, connecting to the enterprise's information system, to collect various types of information data in the information system, including all working hours data; A data cleaning module, used for parsing the informationized data and converting the informationized data into the same format; A patch rule module is provided with screening rules, and invalid working hours in the informationized data are eliminated according to the screening rules; An analysis and calculation module calculates standard working hours data based on the screened information data; A data lake module, used to store the informationized data and the calculated standard working hours data; The query website module is used to input query conditions and query and retrieve the required standard working time information in the data lake module according to the query conditions.

2. The standard working time statistics system according to claim 1, characterized in that: Also includes: The data dashboard module integrates user interaction functions and is used to display the changing trend of the standard working hours under multiple statistical dimensions.

3. The standard working time statistics system according to claim 1, characterized in that: The information system includes: face recognition access control system, personnel system, security system, work dispatch and reporting system, workshop environmental control system and industrial control system.

4. The standard working time statistics system according to claim 1, characterized in that: The information data also includes: basic information of employees, working hours, workload, environmental parameters, and equipment operating status.

5. The standard working time statistics system according to claim 1, characterized in that: The screening rules include the experience of managers and experts in calculating the standard working hours or identifying anomalies.

6. A standard working time statistics method, characterized in that: The standard working time statistics method adopts the standard working time statistics system according to any one of claims 1 to 5, and the standard simultaneous statistics method comprises the following steps: Divide the production area into an operation area and an auxiliary operation area, and set up access control equipment for each of the operation areas; Collect various types of information data from all information systems in the operation area; Completing and screening the informationized data, and eliminating invalid working hours data in the informationized data; Analyze the screened information data and calculate the standard working hours data; Users can query the required standard working time data according to their needs.

7. The standard working hours counting method according to claim 6, characterized in that: The information data includes all working time data, basic information of employees, workload, environmental parameters, and equipment operating status in the operating area.

8. The standard working hours counting method according to claim 6, characterized in that: It also includes dividing the working areas to ensure that only one type of work exists in each working area.

9. The standard working hours counting method according to claim 6, characterized in that: The access control device includes one or a combination of face recognition access control device, fingerprint recognition access control device or password access control device.

10. A standard working time counting device, characterized in that: include: A server, used to run the standard working time statistics system according to any one of claims 1 to 5; A storage unit, used to store the operation data of the server; Client system; A user interaction interface is provided for users to manage the standard working time statistics system; Manage displays; Used to display the running status and output statistical results to the user.

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