Intelligent employee management method, device, system and computer equipment

Abstract

The present invention discloses an intelligent employee management method, device, system and computer equipment, the method comprising: obtaining decision information used for employee management, the decision information comprising: at least one of employee work environment information, weather information and employee corresponding smart terminal usage information; generating care reminder information according to the decision information and each employee's personal information; and sending the care reminder information to the corresponding employee. The present invention generates care reminder information through automatic processing of the acquired employee work environment information, weather information and employee corresponding smart terminal usage information and employee personal information, and sends the care reminder information to the corresponding employee, thereby reducing the workload of company managers and personnel, improving employee work efficiency and increasing employee stickiness to the company.

Description

Technical Field

[0001] The present invention relates to the field of decision-making technology, and in particular to an intelligent employee management method, device, system and computer equipment. Background Art

[0002] Office Automation (OA) refers to the extensive, comprehensive and rapid collection, organization, processing, storage and use of information in administrative work, with computers as the center and using a series of modern office equipment and advanced communication technologies to serve scientific management and decision-making, thereby achieving the goal of improving administrative efficiency.

[0003] However, due to the limitation of enterprise scale and cost, small enterprises often do not have a perfect OA system, and need company managers and personnel to conduct employee assessment and other matters. The employee assessment method is primitive and the work process is inefficient. Moreover, relying solely on company managers and personnel to manage may lead to a lack of employee care and low employee stickiness to the company. Therefore, it is urgent to propose an intelligent employee management method to realize company management, reduce the workload of company managers and personnel, and improve employee work efficiency and stickiness to the company. Summary of the invention

[0004] Therefore, the technical problem to be solved by the present invention is to overcome the defects of the prior art that small and medium-sized enterprises do not have a complete OA system, resulting in primitive employee assessment, inefficient work processes, and lack of employee care, thereby providing an intelligent employee management method, device, system and computer equipment.

[0005] According to a first aspect, the present invention discloses an intelligent employee management method, comprising the following steps: obtaining decision information used for employee management, the decision information comprising: at least one of employee's working environment information, weather information and employee's corresponding smart terminal usage information; generating care reminder information based on the decision information and each employee's personal information; and sending the care reminder information to the corresponding employee.

[0006] Optionally, the decision information also includes: attendance information of each employee; the method also includes: generating work auxiliary information based on the attendance information of each employee and the smart terminal usage information corresponding to the employee; and sending the work auxiliary information to the corresponding employee.

[0007] Optionally, the personal information includes at least one of: basic personal information, personal family information, personal health information and personal eating habit information.

[0008] Optionally, the method further includes: determining the tag information of each employee according to the personal information, attendance information and smart terminal usage information corresponding to each employee; and storing the tag information in a preset database.

[0009] Optionally, the method further includes: receiving an electronic invoice; filling in the information on the electronic invoice into a preset electronic reimbursement form; and sending the electronic reimbursement form with the information filled in, so that the employee makes reimbursement based on the electronic reimbursement form with the information filled in.

[0010] Optionally, the care reminder information and / or work auxiliary information is generated by the following steps: matching the employee's work environment information, weather information and label information with strategies in a preset strategy library; and generating care reminder information and / or work auxiliary information based on the matching results.

[0011] According to the second aspect, the present invention also discloses an intelligent employee management device, including: an acquisition module, used to obtain decision information used for employee management, the decision information including: at least one of employee's working environment information, weather information and employee's corresponding smart terminal usage information; a first generation module, used to generate care reminder information based on the decision information and each employee's personal information; a first sending module, used to send the care reminder information to the corresponding employee.

[0012] According to the third aspect, the present invention also discloses an intelligent employee management system, including: a first collection device, used to collect the attendance information of each employee; a second collection device, used to collect the working environment information and weather information of the employees; a monitoring terminal, used to monitor the usage information of the intelligent terminal corresponding to each employee in real time; a database platform, used to store the personal information of each employee; a control device, respectively connected to the first collection device, the second collection device, the monitoring terminal and the database platform, to execute the steps of the intelligent employee management method as described in the first aspect or any optional implementation method of the first aspect.

[0013] According to the fourth aspect, the present invention also discloses a computer device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor performs the steps of the intelligent employee management method as described in the first aspect or any optional embodiment of the first aspect.

[0014] According to the fifth aspect, the present invention further discloses a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the intelligent employee management method as described in the first aspect or any optional implementation manner of the first aspect are implemented.

[0015] The technical solution of the present invention has the following advantages:

[0016] 1. The intelligent employee management method and device provided by the present invention obtains decision information used for employee management, and the decision information includes: at least one of the employee's work environment information, weather information, and the employee's corresponding smart terminal usage information; generates care reminder information based on the decision information and each employee's personal information; and sends the care reminder information to the corresponding employee. The present invention automatically processes the obtained employee's work environment information, weather information, employee's corresponding smart terminal usage information, and employee personal information, generates care reminder information based on the above information, and sends the care reminder information to the corresponding employee, thereby reducing the workload of company managers and personnel, improving employee work efficiency, and increasing employee stickiness to the company.

[0017] 2. The intelligent employee management system provided by the present invention comprises: a first collection device for collecting the attendance information of each employee, a second collection device for collecting the working environment information and weather information of the employees, a monitoring terminal for real-time monitoring the usage information of the smart terminal corresponding to each employee, a database platform for storing the personal information of each employee, and a control device connected to the first collection device, the second collection device, the monitoring terminal and the database platform respectively, making personalized decisions for each employee according to the acquired information, and sending the care prompt information and / or work auxiliary information to the corresponding employee's smart terminal. The present invention automatically processes the working environment information, weather information and the corresponding smart terminal usage information of the employees acquired by the first collection device, the second collection device, the monitoring terminal and the database platform, and the personal information of the employees, generates the care prompt information according to the above information, and sends the care prompt information to the corresponding employee's smart terminal, thereby reducing the workload of the company's managers and personnel, improving the work efficiency of the employees, and improving the stickiness of the employees to the company. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A specific example diagram of an edge IoT proxy device in an embodiment of the present invention;

[0020] Figure 2 A flowchart of a specific example of the intelligent employee management method in an embodiment of the present invention;

[0021] Figure 3 It is a principle block diagram of a specific example of the intelligent employee management device in an embodiment of the present invention;

[0022] Figure 4 A specific example diagram of an intelligent employee management system in an embodiment of the present invention;

[0023] Figure 5 FIG. 4 is a specific example diagram of a computer device in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0026] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, it can also be the internal connection of two components, it can be a wireless connection, or it can be a wired connection. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] In addition, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0028] The embodiment of the present invention discloses an intelligent employee management method, which is applied to electronic devices such as terminals or servers. In the embodiment of the present application, the terminal is taken as an edge IoT proxy device as an example. The edge IoT proxy device adopts an industrial-grade ARM chip, which has good environmental adaptability, low energy consumption, and low hardware cost. Figure 1 As shown, the edge IoT agent device includes: a hardware layer and a software layer. The hardware layer includes: CPU, memory, plug-in (flash) and physical communication interface (for example, network port, serial port, etc.), which is responsible for providing computing resources and storage resources for the software layer. The software layer includes: data storage module, personalized analysis module, and result notification module. The data storage module is used to store decision analysis data, the personalized analysis module is used to analyze the decision analysis data to obtain the decision results, and the result notification module is used to send the decision results to the corresponding employees.

[0029] like Figure 2 As shown, the following steps are included:

[0030] S11: Acquire decision information used for employee management, where the decision information includes: at least one of employee work environment information, weather information, and smart terminal usage information corresponding to the employee.

[0031] Exemplarily, the employee's work environment information may include: indoor temperature, indoor humidity, outdoor temperature, outdoor humidity, etc. Weather information may include: weather information for the day, weather information for tomorrow, and air quality for the day, etc. The employee's corresponding smart terminal usage information may include: the smart terminal's power-on time, the smart terminal's continuous use time, the smart terminal's power-off time, the smart terminal's sleep time, work-dependent software, etc. The embodiment of the present invention does not specifically limit the employee's work environment information, weather information, and the employee's corresponding smart terminal usage information, and those skilled in the art may determine it according to actual conditions.

[0032] The indoor temperature and indoor humidity in the employee's working environment information can be obtained through the temperature / humidity sensor to obtain specific values; the outdoor temperature and outdoor humidity can be obtained through the weather forecast of the smart terminal.

[0033] The weather information for the day and tomorrow's weather information can be obtained through the weather forecast of the smart terminal, and the information obtained can be: sunny, light rain, moderate rain, heavy rain, light snow, moderate snow, heavy snow, etc.; the air quality for the day can also be obtained through the weather forecast of the smart terminal, and the information obtained can be: excellent, good, medium, poor, etc.

[0034] The smart terminal usage information of employees can be obtained by real-time monitoring of employees' smart terminals. Among them, the work-dependent software may include: word, vscode, VC++, etc.; the smart terminal startup time, smart terminal continuous use time, smart terminal shutdown time, smart terminal sleep time, etc. are all specific values. It should be noted that monitoring the smart terminals of employees is authorized by each employee.

[0035] S12: Generate care reminder information based on the decision information and the personal information of each employee.

[0036] Exemplarily, the personal information of each employee may include only name information, or may include at least one of basic personal information, personal family information, personal health information, and personal eating habit information.

[0037] Basic personal information may include: name, gender, birthday, household registration, education, job type (e.g., R&D, management, sales, human resources, finance, etc.), marital status (married, single), years of work experience, etc. This basic personal information can be entered by the employee himself or by HR based on the information on the interview resume.

[0038] Personal family information may include: home address information (which can be set in advance according to the national administrative division standards, such as "country-province-city-district (county)-street-detailed address"), commuting method (for example, subway, walking, driving, etc.), whether the child is an only child, father / mother's birthday, father / mother's name, spouse's name and birthday, children's name and birthday, etc. This personal family information can be entered by the employee himself or by HR based on the information on the interview resume.

[0039] Personal health information may include: height, weight, blood pressure, heart rate, body fat percentage, vision (e.g., mild myopia, moderate myopia, severe myopia, etc.), whether there are chronic diseases (e.g., rhinitis, gastric disease, cervical spondylosis, etc.), and exercise status (e.g., no exercise, once a month, once a week, once a day, etc.). Among them, blood pressure, heart rate, and body fat percentage can be obtained through the employee's sports bracelet, and the acquisition of this information is also authorized by the employee. Height, weight, vision, whether there are chronic diseases, and exercise status can be entered by the employee himself.

[0040] Personal eating habits information may include: employees' favorite foods (e.g., rice, beef, etc.), taboo foods (e.g., coriander, offal, stinky tofu, etc.), favorite cooking methods (e.g., stir-fry, deep-fry, boil, etc.), disliked cooking methods, favorite flavors (e.g., light, spicy, sweet, salty, etc.), and eating methods (e.g., ordering takeout, cooking by yourself, etc.). The above personal eating habits information may be entered by the employees themselves, or obtained by the software that monitors the employees' ordering, which is also authorized by the employees.

[0041] It should be noted that the above personal information is not used to limit the scheme of the present invention. Those skilled in the art may also use other information suitable for implementation based on the above information.

[0042] Based on the decision-making information and the personal information of each employee, care reminder information can be generated. The acquired information can be input into a pre-trained neural network model for identification to generate care reminder information; or the acquired information and preset strategies can be matched to generate care reminder information, for example, long-term sitting-long-term sitting reminder, heavy computer use-drinking water and eye use reminders.

[0043] The caring reminder information may include: drinking water reminder, meal ordering reminder, parent's birthday reminder, weather reminder, meal ordering recommendation, sedentary reminder, eye use reminder, etc. The embodiment of the present invention does not specifically limit the caring reminder information, and those skilled in the art may determine it according to actual conditions.

[0044] S13: Send the care reminder information to the corresponding employees.

[0045] Exemplarily, the method for sending the care reminder information can be to send it to the corresponding employee's smart terminal (mobile phone, computer, etc.) via DingTalk, WeChat, email or text message. The embodiment of the present invention does not specifically limit the method for sending the care reminder information, and those skilled in the art can determine it according to actual conditions.

[0046] The intelligent employee management method provided by the present invention obtains decision information used for employee management, and the decision information includes: at least one of the employee's work environment information, weather information, and the employee's corresponding smart terminal usage information; generates care reminder information based on the decision information and each employee's personal information; and sends the care reminder information to the corresponding employee. The edge IoT agent device of the present invention automatically processes the employee's work environment information, weather information, and the employee's corresponding smart terminal usage information and the employee's personal information, generates care reminder information based on the above information, and sends the care reminder information to the corresponding employee, thereby reducing the workload of company managers and personnel, improving the work efficiency of employees and increasing the stickiness of employees to the company.

[0047] As an optional implementation of the embodiment of the present invention, the decision information further includes: attendance information of each employee; the intelligent employee management method further includes:

[0048] Generate work auxiliary information based on each employee's attendance information and the employee's corresponding smart terminal usage information.

[0049] Exemplarily, attendance information can be obtained by reading punch card machine, access control, DingTalk punch card information, etc. Work auxiliary information may include: daily / weekly report filling reminder, forget to punch card reminder, business trip hotel recommendation, etc. The embodiment of the present invention does not specifically limit the method for obtaining the attendance information and the specific content of the work auxiliary information, and those skilled in the art can determine it according to actual conditions. The method for generating work auxiliary information can be the same as the method for generating the above-mentioned care reminder information, which will not be repeated here.

[0050] The work auxiliary information is sent to the corresponding employee. The method for sending the work auxiliary information can be the same as the method for sending the care reminder information, which will not be repeated here.

[0051] The embodiment of the present invention assists employees in their work and improves their work efficiency by sending corresponding work auxiliary information to them.

[0052] As an optional implementation of the embodiment of the present invention, the intelligent employee management method further includes:

[0053] First, the label information of each employee is determined based on the personal information, attendance information and the corresponding smart terminal usage information of each employee.

[0054] Exemplarily, the label information may include: basic data labels and behavior data labels.

[0055] Basic data class tags can include:

[0056] Gender: Male, Female.

[0057] Positions: R&D, sales, middle management, human resources, senior management.

[0058] Years of working experience: probationary employees, 1 year of employment, 3 years of employment, 5 years of employment, more than 10 years of employment, etc.

[0059] Family attributes: only child, elderly parents, single, married, with children.

[0060] Home address: within 1 km, within 3 km, within 5 km, within 7 km, etc.

[0061] BMI: standard, thin, moderately thin, moderately thin, overweight, slightly obese, moderately obese, and severely obese.

[0062] Vision: normal, mild myopia, moderate myopia, severe myopia, mild astigmatism, moderate astigmatism, severe astigmatism.

[0063] Chronic diseases: None, hypertension, cervical spondylosis, hyperlipidemia, hyperglycemia, hyperuricemia, lumbar disc herniation, fatty liver, etc.

[0064] Behavioral data class labels can include:

[0065] Commuting methods: walking, subway, driving, bus, etc., which can be set to influence factor weight: 0~1.

[0066] Eating habits: taste (light / spicy / sweet / sweet and sour / salty / salty and fresh), cooking method (stir-frying / steaming / boiling / frying / grilling / braised), food source, etc., can be set as influencing factor weight: 0~1.

[0067] Work habits: sitting for long periods of time, standing for long periods of time, long-term eye strain, easy to forget to punch in, easy to miss daily reports, failure to submit reimbursements in a timely manner, frequent overtime, and rare overtime.

[0068] Exercise situation: once a day, once a week, once a month, once a quarter.

[0069] Methods for determining label information may include: automatic labeling and manual labeling.

[0070] Among them, automatic labeling is for labels that can be obtained through quantitative data, such as:

[0071] (1) Manually formulate the judgment rules for each label in advance, such as hypertension (systolic blood pressure ≥ 140 mmHg, diastolic blood pressure ≥ 90 mmHg), mild myopia < 300 degrees, and obesity (BMI 24-27.9), to form a label rule library.

[0072] (2) Employees’ basic data and behavioral data are stored in the preset database through personnel entry, personal supplementation, and third-party collection.

[0073] (3) According to the update frequency of different data types, the label marking program updates the label for each employee according to the data and rules in (1) and (2) at different time points such as when the data is updated, at 1 o'clock every night, every week, every quarter, and every year.

[0074] (4) As data accumulates, the label determination rules can be updated through manual correction and machine learning to improve the accuracy of labels.

[0075] Manual labeling allows administrators or employees to add labels themselves when some data sources are missing or there are no good labeling rules. For example, it is easy to forget to write daily reports, forget to make reimbursements, or stay on the site for a long time.

[0076] Secondly, the tag information is stored in a preset database.

[0077] As an optional implementation of the embodiment of the present invention, the intelligent employee management method further includes:

[0078] First, receive an electronic invoice.

[0079] Exemplarily, the electronic invoice is sent by an employee via a wired or wireless network. The embodiment of the present invention does not specifically limit the method for sending the electronic invoice, and those skilled in the art can determine it based on the actual connection between the edge IoT proxy device and each smart terminal. The receiving method of the electronic invoice corresponds to the sending method, which will not be described in detail here.

[0080] Secondly, fill in the information on the electronic invoice into the preset electronic reimbursement form.

[0081] Exemplarily, the preset electronic reimbursement form can be a pre-set electronic reimbursement form template, and the information on the electronic invoice is input into the preset neural network model to obtain identification information (for example, amount, reimbursement type, etc.), and the identification information is filled into the preset electronic reimbursement form.

[0082] Next, the electronic expense report form with information filled in is sent, so that the employee can make reimbursements according to the electronic expense report form with information filled in. The method for sending the electronic expense report form is the same as the method for sending the above-mentioned care reminder information, and will not be described in detail here.

[0083] The embodiment of the present invention reduces the workload of employees and further improves the work efficiency of employees by automatically preparing electronic expense reports.

[0084] As an optional implementation of the embodiment of the present invention, the care prompt information and / or work auxiliary information is generated through the following steps:

[0085] Match the employee's work environment information, weather information, and tag information with the policies in the preset policy library.

[0086] Exemplarily, the strategies in the preset strategy library may be pre-set, for example, long-term sitting - long-term sitting reminder, rainy day - bring an umbrella, etc. The input working environment information, weather information and label information are matched with the strategies in the preset strategy library to obtain a matching result, and the care reminder information and / or work auxiliary information are generated according to the matching result.

[0087] For tag information or environmental information that is not in the preset strategy library, care prompt information and / or work assistance information can be manually generated, and the strategies corresponding to the tag information or environmental information that is not in the preset strategy library can be stored in the preset database to facilitate direct call and matching next time.

[0088] The embodiment of the present invention also discloses an intelligent employee management device, such as Figure 3 As shown, including:

[0089] The acquisition module 21 is used to obtain decision information used for employee management, and the decision information includes: at least one of the employee's working environment information, weather information and the employee's corresponding smart terminal usage information; the specific implementation method is shown in the relevant description of step S11 in the above embodiment, which will not be repeated here.

[0090] The first generating module 22 is used to generate care prompt information according to the decision information and the personal information of each employee; the specific implementation method is shown in the relevant description of step S12 in the above embodiment, which will not be repeated here.

[0091] The first sending module 23 is used to send the caring reminder information to the corresponding employees. The specific implementation method is described in the relevant description of step S13 in the above embodiment, which will not be repeated here.

[0092] The intelligent employee management device provided by the present invention obtains decision information used for employee management, and the decision information includes at least one of the employee's work environment information, weather information, and the employee's corresponding smart terminal usage information; generates care reminder information based on the decision information and each employee's personal information; and sends the care reminder information to the corresponding employee. The edge IoT agent device of the present invention automatically processes the employee's work environment information, weather information, and the employee's corresponding smart terminal usage information and the employee's personal information, generates care reminder information based on the above information, and sends the care reminder information to the corresponding employee, thereby reducing the workload of company managers and personnel, improving the employee's work efficiency, and increasing the employee's stickiness to the company.

[0093] As an optional implementation of the embodiment of the present invention, the decision information further includes: attendance information of each employee; the intelligent employee management device further includes:

[0094] The second generation module is used to generate work auxiliary information according to the attendance information of each employee and the intelligent terminal usage information corresponding to the employee. The specific implementation method is described in the relevant description of the corresponding steps in the above embodiment, which will not be repeated here.

[0095] The second sending module is used to send the work auxiliary information to the corresponding employees. The specific implementation method is shown in the relevant description of the corresponding steps in the above embodiment, which will not be repeated here.

[0096] As an optional implementation of the embodiment of the present invention, personal information includes at least one of basic personal information, personal family information, personal health information and personal eating habit information. The specific implementation method is described in the relevant description of the corresponding steps in the above embodiment, which will not be repeated here.

[0097] As an optional implementation of the embodiment of the present invention, the intelligent employee management device also includes:

[0098] The determination module is used to determine the tag information of each employee according to the personal information, attendance information and the smart terminal usage information corresponding to each employee. The specific implementation method is described in the relevant description of the corresponding steps in the above embodiment, which will not be repeated here.

[0099] The storage module is used to store the tag information in a preset database. The specific implementation method is described in the corresponding steps in the above embodiment, which will not be repeated here.

[0100] As an optional implementation of the embodiment of the present invention, the intelligent employee management device also includes:

[0101] The receiving module is used to receive the electronic invoice. The specific implementation method is described in the corresponding steps in the above embodiment, which will not be repeated here.

[0102] The filling module is used to fill the information on the electronic invoice into the preset electronic expense report. The specific implementation method is described in the corresponding steps in the above embodiment, which will not be repeated here.

[0103] The third sending module is used to send the electronic expense report after the information is filled in, so that the employee can make reimbursements according to the electronic expense report after the information is filled in. The specific implementation method is described in the relevant description of the corresponding steps in the above embodiment, which will not be repeated here.

[0104] As an optional implementation of the embodiment of the present invention, the care prompt information and / or work auxiliary information is generated through the following steps:

[0105] The matching module is used to match the strategies in the preset strategy library according to the working environment information, weather information and tag information of the employee. The specific implementation method is described in the relevant description of the corresponding steps in the above embodiment, which will not be repeated here.

[0106] The generation submodule is used to generate care prompt information and / or work auxiliary information according to the matching result. The specific implementation method is shown in the relevant description of the corresponding steps in the above embodiment, which will not be repeated here.

[0107] The embodiment of the present invention also discloses an intelligent employee management system, such as Figure 4 As shown, including:

[0108] The first collection device 31 is used to collect the attendance information of each employee. The first collection device can be a DingTalk clock-in server or a clock-in machine.

[0109] The second collection device 32 is used to collect the working environment information and weather information of the employees. The second collection device can be an intelligent terminal integrated with a temperature and humidity sensor.

[0110] The monitoring terminal 33 is used to monitor the usage information of the smart terminal corresponding to each employee in real time.

[0111] The database platform 34 is used to store the personal information of each employee.

[0112] The control device 35 is connected to the first collection device 31, the second collection device 32, the monitoring terminal 33 and the database platform 34 respectively, and executes the steps of the intelligent employee management method as described in the above embodiment. The control device can be an edge IoT agent device, which communicates with the employee's smart terminal through the control device, and sends the obtained care prompt information and / or work auxiliary information to the employee's smart terminal, wherein the employee's smart terminal can be the employee's mobile phone or computer, etc.

[0113] The intelligent employee management system provided by the present invention, the edge IoT agent device automatically processes the work environment information, weather information, employee's corresponding smart terminal usage information and employee personal information obtained by the first collection device, the second collection device, the monitoring terminal and the database platform, generates care reminder information based on the above information, and sends the care reminder information to the corresponding employee's smart terminal, thereby reducing the workload of company managers and personnel, improving the work efficiency of employees and increasing the stickiness of employees to the company.

[0114] The embodiment of the present invention also provides a computer device, such as Figure 5 As shown, the computer device may include a processor 41 and a memory 42, wherein the processor 41 and the memory 42 may be connected via a bus or other means. Figure 5 The example of connecting through bus is taken in the following.

[0115] The processor 41 may be a central processing unit (CPU). The processor 41 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0116] The memory 42 is a non-transitory computer-readable storage medium that can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the intelligent employee management method in the embodiment of the present invention (for example, Figure 3 The processor 41 executes various functional applications and data processing of the processor by running the non-transient software programs, instructions and modules stored in the memory 42, that is, the intelligent employee management method in the above method embodiment is realized.

[0117] The memory 42 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and applications required for at least one function; the data storage area may store data created by the processor 41, etc. In addition, the memory 42 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 42 may optionally include a memory remotely arranged relative to the processor 41, and these remote memories may be connected to the processor 41 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0118] The one or more modules are stored in the memory 42 and when executed by the processor 41, perform the following steps: Figure 2 The intelligent employee management method in the illustrated embodiment.

[0119] For details of the above computer equipment, please refer to Figure 2 The corresponding related descriptions and effects in the illustrated embodiments can be understood and will not be repeated here.

[0120] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0121] Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations are all within the scope defined by the appended claims.

Claims

1. An intelligent employee management method, characterized in that: The steps include: Obtaining decision information used for employee management, the decision information including: employee work environment information, weather information and employee corresponding smart terminal usage information; wherein the employee corresponding smart terminal usage information includes: smart terminal power-on time, smart terminal continuous use time, smart terminal power-off time, smart terminal sleep time, and work-dependent software; Generate care reminder information based on the decision information and the personal information of each employee; wherein the personal information includes: at least one of personal basic information, personal family information, personal health information and personal eating habit information; Sending the care reminder information to corresponding employees; The decision-making information also includes: attendance information of each employee; The method further includes: generating work auxiliary information according to the attendance information of each employee and the smart terminal usage information corresponding to the employee; and sending the work auxiliary information to the corresponding employee; The method further comprises: Determine the label information of each employee according to the personal information, attendance information and the corresponding smart terminal usage information of each employee; store the label information in a preset database; wherein the label information includes: basic data labels and behavior data labels; the basic data labels include but are not limited to: gender, position, years of work, family attributes, home address, BMI, vision, chronic diseases; the behavior data labels include but are not limited to: commuting mode, eating habits, work habits, exercise conditions; The method generates the care prompt information and / or work assistance information through the following steps: Matching the employee's work environment information, weather information, and tag information with the policies in a preset policy library; Generate care reminder information and / or work assistance information based on the matching results; The method further comprises: Receive electronic invoices; Fill in the information on the electronic invoice into the preset electronic expense report; Sending an electronic reimbursement form with information filled in, so that the employee can make reimbursements according to the electronic reimbursement form with information filled in; Among them, filling the information on the electronic invoice into the preset electronic reimbursement form includes: inputting the information on the electronic invoice into a preset neural network model to obtain identification information, and filling the identification information into the preset electronic reimbursement form.

2. An intelligent employee management device, the device is used to execute the intelligent employee management method according to claim 1, characterized in that: The device comprises: An acquisition module is used to acquire decision information used for employee management, wherein the decision information includes: employee work environment information, weather information, and employee corresponding smart terminal usage information; A first generating module, used to generate caring reminder information according to the decision information and the personal information of each employee; The first sending module is used to send the care reminder information to the corresponding employee.

3. An intelligent employee management system, characterized in that: include: The first collection device is used to collect the attendance information of each employee; The second collection device is used to collect information about the working environment and weather of employees; A monitoring terminal, used to monitor the usage information of the smart terminal corresponding to each employee in real time; A database platform for storing the personal information of each employee; The control device is connected to the first acquisition device, the second acquisition device, the monitoring terminal and the database platform respectively, and executes the steps of the intelligent employee management method as described in claim 1.

4. A computer device, characterized in that: include: at least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor performs the steps of the intelligent employee management method as described in claim 1.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the intelligent employee management method according to claim 1 are implemented.

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