Project management analysis method and device, storage medium and computer equipment

Abstract

The embodiment of the invention provides a project management analysis method and device, a storage medium and computer equipment. The method comprises the following steps: carrying out grid division on a working area to generate a plurality of project areas; performing index monitoring on each project area according to the project acceptance indexes to generate index monitoring results; whether the index monitoring result is qualified or not is judged, and when the index monitoring result is unqualified, risk early warning is carried out; personnel in each project area are positioned, and a personnel hotspot cloud picture is generated; and performing project management analysis according to the index monitoring result and the personnel hotspot cloud picture. According to the technical scheme provided by the embodiment of the invention, by performing grid division on the working area and performing project management analysis on the monitoring index monitoring result and the personnel hotspot cloud picture, the project management pressure can be released, the nodal management and control effect can be improved, the project can be boosted to be achieved on time according to quantity, and the project management efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of project management, and in particular to a project management analysis method, device, storage medium and computer equipment. Background Art

[0002] In the process of software development, the collaborative development method of multiple people and multiple groups is often adopted. It is necessary to decompose the project tasks into the Work Breakdown Structure (WBS), assign specific tasks to each developer in each project team, and establish node time efficiency assessment. When the project scale is large or multiple projects are managed at the same time, the management of each stage such as project launch, planning, and implementation will become a complicated task.

[0003] If only manual management is adopted, it will be highly dependent on the knowledge reserve level of managers and the management energy invested. Traditional manual management methods usually remain in the mode of progress tracking and coordinated advancement, and it is difficult to take into account the risk prediction analysis and health evaluation of the project in a timely manner. Traditional project management feedback is also often result-oriented, and it is difficult to detect and control problems that arise during the project process in a timely manner. In addition, the management standards and control links of traditional manual management methods are relatively rigid. When changes occur in the middle of the project, the responsiveness of manual management is often delayed, and it is difficult to flexibly meet the changing project development needs. Summary of the invention

[0004] In view of this, the embodiments of the present invention provide a project management analysis method, device, storage medium and computer equipment to relieve project management pressure, improve the effectiveness of node-based management and control, help projects to be completed on time and in quantity, and improve the efficiency of project management.

[0005] In one aspect, an embodiment of the present invention provides a project management analysis method, comprising: Grid the work area to generate several project areas; Conduct indicator monitoring on each of the project areas according to the project acceptance indicators and generate indicator monitoring results; Determine whether the indicator monitoring result is qualified, and issue a risk warning when the indicator monitoring result is unqualified; Locating the personnel in each of the project areas and generating a personnel heat cloud map; Conduct project management analysis based on the indicator monitoring results and the personnel hot spot cloud map.

[0006] Optionally, the working area is divided into grids to generate a number of project areas, including: Based on the task decomposition logic of the work breakdown structure, the work area is grid-divided according to the set classification method to generate several project areas.

[0007] Optionally, the project acceptance indicators include working hours, workload, transaction volume or investment amount.

[0008] Optionally, when the project acceptance indicator includes working hours, the indicator monitoring is performed on each project area according to the project acceptance indicator to generate the indicator monitoring result, including: Get the actual work hours and the budgeted work hours set for each of the project areas; Monitor indicators for each of the project areas based on actual and budgeted work hours; Generate the indicator monitoring result according to the numerical relationship between the actual working hours and the budgeted working hours in each project area; The determining whether the indicator monitoring result is qualified includes: When the actual working hours in the project area are greater than the budgeted working hours, it is determined that the indicator monitoring result is unqualified; or, When the actual working hours in the project area are less than or equal to the budgeted working hours, it is determined that the indicator monitoring result is qualified.

[0009] Optionally, locating the personnel in each of the project areas and generating a personnel heat map includes: Obtaining anchor point detection information of personnel in each of the project areas; Calculating the signal incoming angle according to the anchor point detection message through the phase difference; Calculate the personnel location information according to the signal transmission angle; Generate a personnel hot spot cloud map based on the personnel positioning information.

[0010] Optionally, generating a personnel heat map according to the personnel location information includes: Record the location information of each person within the set time range and generate a personnel trajectory flow diagram; A personnel hot spot cloud map is generated according to the multiple personnel stop points in the personnel trajectory flow map.

[0011] Optionally, when the project acceptance indicator includes working hours, the project management analysis is performed according to the indicator monitoring result and the personnel hot spot cloud map, including: When the actual working hours of the project area are greater than the budgeted working hours, and the project area in the personnel hot spot cloud map is a hot spot area, it is determined that there are difficulties or bottlenecks in the personnel of the project area; or, When the actual working hours of the project area are greater than the budgeted working hours, and the project area in the personnel hot spot cloud map is a non-hot spot area, it is determined that the personnel in the project area lack communication or are insufficiently staffed; or, When the actual working hours of the project area are less than or equal to the budgeted working hours, and the project area in the personnel hot spot cloud map is a hot spot area, it is determined that the personnel in the project area communicate frequently or the project corresponding to the project area is large; or, When the actual working hours of the project area are less than or equal to the budgeted working hours, and the project area in the personnel hot spot cloud map is a non-hot spot area, it is determined that the personnel in the project area are relatively capable, the personnel in the project area are lone rangers, or the project corresponding to the project area is relatively small; Among them, a hotspot value is generated according to the hotspot density of the project area in the personnel hotspot cloud map. When the hotspot value is greater than a set threshold, the project area is a hotspot area; or, when the hotspot value is less than or equal to the set threshold, the project area is a non-hotspot area.

[0012] On the other hand, an embodiment of the present invention provides a project management analysis device, including: The partitioning module is used to divide the work area into grids and generate several project areas; A monitoring module, used to monitor each of the project areas according to the project acceptance indicators and generate indicator monitoring results; A judgment module is used to judge whether the indicator monitoring result is qualified, and to issue a risk warning when the indicator monitoring result is unqualified; A positioning module, used to locate personnel in each of the project areas and generate a personnel heat cloud map; The analysis module is used to perform project management analysis based on the indicator monitoring results and the personnel hot spot cloud map.

[0013] On the other hand, an embodiment of the present invention provides a storage medium, including: the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the above-mentioned project management analysis method.

[0014] On the other hand, an embodiment of the present invention provides a computer device, including a memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions, wherein the program instructions implement the steps of the above-mentioned project management analysis method when loaded and executed by the processor.

[0015] In the technical solution of the project management analysis method provided by the embodiment of the present invention, the work area is gridded to generate several project areas; indicators are monitored for each project area according to the project acceptance indicators to generate indicator monitoring results; it is determined whether the indicator monitoring results are qualified, and a risk warning is issued when the indicator monitoring results are unqualified; the personnel in each project area are located to generate a personnel hot spot cloud map; project management analysis is performed based on the indicator monitoring results and the personnel hot spot cloud map. In the technical solution provided by the embodiment of the present invention, by gridding the work area, monitoring the indicator monitoring results and the personnel hot spot cloud map for project management analysis, it is possible to release the pressure of project management, improve the effectiveness of node-based management and control, help promote the completion of projects on time and in quantity, and improve the efficiency of project management. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 A flowchart of a project management analysis method provided by one embodiment of the present invention; Figure 2 A schematic diagram of several project areas provided for an embodiment of the present invention; Figure 3 A flowchart of an embodiment of the present invention provides a flow chart of monitoring indicators for each project area according to the project acceptance indicators and generating indicator monitoring results when the project acceptance indicators include working hours; Figure 4 A flowchart of locating personnel in each project area and generating a personnel heat map provided by an embodiment of the present invention; Figure 5 A personnel trajectory flow diagram provided by an embodiment of the present invention; Figure 6 A personnel hot spot cloud map provided by an embodiment of the present invention; Figure 7 A schematic diagram of the structure of a project management and analysis device provided by one embodiment of the present invention; Figure 8 A schematic diagram of a computer device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to better understand the technical solution of the present invention, the embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0019] It should be clear that the described embodiments are only some embodiments of the present invention, not all 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.

[0020] The terms used in the embodiments of the present invention are only for the purpose of describing specific embodiments, and are not intended to limit the present invention. The singular forms "a", "said" and "the" used in the embodiments of the present invention and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0021] It should be understood that the term "and / or" used in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0022] Among the related technologies, Project Management Professional (PMP) management technology is widely used in various industrial and commercial scenarios. Usually, in order to ensure that the project can be completed on schedule and according to standards, it is necessary to establish a systematic and meticulous process control plan throughout the project launch, planning, implementation and other stages, which puts forward high requirements and challenges on the management level and management cost of managers.

[0023] In related technologies, the control system of project management is complicated, with many control nodes, and relies on the management knowledge reserve level and management energy invested by managers. Project management relies on solidified management standards and control link design, and the management method is relatively bloated and difficult to adapt. The management feedback of project management is often result-oriented, and it is difficult to detect and control problems that arise during the project process in a timely manner, which is not conducive to overdue correction of projects.

[0024] In order to solve the technical problems in the related art, an embodiment of the present invention provides a project management analysis method. Figure 1 A flowchart of a project management analysis method provided by an embodiment of the present invention is as follows: Figure 1 As shown, the method includes: Step 102: Grid the work area to generate several project areas.

[0025] In the embodiment of the present invention, each step is performed by a computer device, for example, the computer device includes a computer, a tablet computer, a mobile phone, and a personal digital assistant (PDA).

[0026] In the embodiment of the present invention, based on the task decomposition logic of the work breakdown structure, the work area can be grid-divided according to a set classification method to generate a plurality of project areas.

[0027] In the embodiment of the present invention, Figure 2 A schematic diagram of several project areas provided in one embodiment of the present invention, such as Figure 2 As shown, the working area can be grid-divided to generate 8 project areas, including: project A, project B, project C, project D, project E, project F, project G and project H.

[0028] In an embodiment of the present invention, during the project management process, in a work area (the area may be an information office, or may extend to the work area of ​​one or several projects), the work area is divided into grids according to the WBS task decomposition logic and classification methods such as project categories or project groups, and is divided into project A, project B, project C... As an optional solution, each or several project area grids (such as project A and project B may each independently correspond to a main project task, or project A and project B may be combined to correspond to a main project task) correspond to a main project task. Similarly, each main project task may be divided into one regional grid or several regional grids. The specific division granularity may be flexibly configured according to the fine-grained requirements of process control.

[0029] Step 104: Monitor each project area according to the project acceptance indicators and generate indicator monitoring results.

[0030] In the embodiment of the present invention, the project acceptance index includes working hours, workload, transaction volume or investment amount.

[0031] In the embodiment of the present invention, taking the acceptance of the work hours for the delivery of development results as an example, a "budgeted work hours" distributed identifier is established for each divided regional grid. Figure 3 When the project acceptance index includes working hours, an embodiment of the present invention provides a flowchart for monitoring the index of each project area according to the project acceptance index to generate the index monitoring result, such as Figure 3 As shown, step 104 includes: Step 1042: Obtain the actual working hours and the set budgeted working hours for each project area.

[0032] In the embodiment of the present invention, the budgeted working hours are the pre-scheduled working hours for completing a certain deliverable development result that are allocated for each development task in the WBS task decomposition.

[0033] Step 1044: Monitor indicators for each project area based on the actual working hours and budgeted working hours of each project area.

[0034] Step 1046: Generate indicator monitoring results based on the numerical relationship between the actual working hours and the budgeted working hours in each project area.

[0035] In an embodiment of the present invention, when the actual working hours of the project area are greater than the budgeted working hours, it is determined that the indicator monitoring result is unqualified; or, when the actual working hours of the project area are less than or equal to the budgeted working hours, it is determined that the indicator monitoring result is qualified.

[0036] Step 106: Determine whether the indicator monitoring result is qualified, and issue a risk warning when the indicator monitoring result is unqualified.

[0037] In an embodiment of the present invention, during the normal progress of a project, the "actual working hours" of each development task in the process of completing a certain deliverable can be continuously monitored and recorded, and the "budgeted working hours" and "actual working hours" under the same project can be matched and compared. When the "actual working hours" exceed the "budgeted working hours", the system automatically generates a warning icon for overdue risk alarm in the timeout area of ​​the management module page.

[0038] Step 108: Locate the personnel in each project area and generate a personnel hot spot cloud map.

[0039] In the embodiment of the present invention, the implementation of step 108 relies on the implementation of indoor positioning technology. This part of the technology is currently relatively mature, such as ultra-wideband (Ultra Wide Band, referred to as UWB) positioning technology, WIFI-fingerprint positioning technology, Bluetooth received signal strength indicator (Received Signal Strength Indicator, referred to as RSSI) positioning / Bluetooth angle of arrival (Angle of Arrival, referred to as AoA) positioning technology, etc.

[0040] In the embodiment of the present invention, in order to improve the positioning accuracy, the Bluetooth AoA positioning technology can be preferentially selected, wherein Bluetooth 5.1 has a directional function, for a detailed description, please refer to Figure 4 .

[0041] In an embodiment of the present invention, anchor point detection messages of personnel in each project area can be obtained; the signal transmission angle can be calculated based on the anchor point detection messages through phase difference; the personnel positioning information can be calculated based on the signal transmission angle; and a personnel hot spot cloud map can be generated based on the personnel positioning information.

[0042] In the embodiment of the present invention, Figure 4 A flowchart of locating personnel in each project area and generating a personnel heat map is provided in accordance with an embodiment of the present invention, such as Figure 4 As shown, step 108 includes: Step 1082: Obtain anchor point detection information of personnel in each project area.

[0043] In an embodiment of the present invention, it is necessary to establish a multi-anchor device at an appropriate location in each project area. Each person is equipped with a Bluetooth tag. Each Bluetooth tag can send a broadcast message to the multi-anchor device. When the multi-anchor device receives the broadcast message, it sends an anchor detection message of the person in each project area to the computer device.

[0044] Step 1084: Calculate the signal incoming angle according to the anchor point detection message through the phase difference.

[0045] Step 1086: Calculate the personnel location information according to the signal transmission angle.

[0046] In this step, the personnel positioning information can be calculated through the signal input angle and trigonometric function.

[0047] Step 1088: Record the personnel location information of each person within the set time range and generate a personnel trajectory flow diagram.

[0048] In the embodiment of the present invention, Figure 5 A personnel trajectory flow diagram provided by an embodiment of the present invention, such as Figure 5 As shown, the personnel location information of each person within a set time range can be recorded, and the personnel location information of each person can be connected in sequence to generate a personnel trajectory flow diagram. Figure 5 In the example, personnel move from Project A to Project B, then from Project B through Project D and Project E to Project F, and from Project F through Project H to Project G.

[0049] Step 1090: Generate a personnel hot spot cloud map according to the multiple personnel stop points in the personnel trajectory flow diagram.

[0050] In the embodiment of the present invention, multiple personnel stop points in the personnel trajectory flow diagram can be superimposed according to the time sequence trajectory of personnel flow to generate a personnel heat cloud map. As an optional solution, the refresh frequency of the personnel heat cloud map can be customized.

[0051] In the embodiment of the present invention, Figure 6 A personnel hot spot cloud map provided by an embodiment of the present invention, such as Figure 6 As shown, the circles in each project are used to represent the points where multiple people stop in each project. There are more people in Project A, forming a larger point where multiple people stop. There are no people stopping in Project C and Project D, and there are fewer people stopping in Project G.

[0052] In addition, if the actual working hours in Project E are greater than the budgeted working hours, an overtime warning can be generated in Project E, and Project E is a hot spot in the personnel hot spot cloud map, which means that there is a lot of overlap in the flow of personnel here, which indirectly reflects the high frequency of communication, and can assist project managers in thinking: if overtime still occurs under such high-frequency communication, are there any difficult points in Project E, and whether Party A's needs change midway, it can assist them in optimizing subsequent management decisions.

[0053] Step 110: Conduct project management analysis based on the indicator monitoring results and the personnel hot spot cloud map.

[0054] In an embodiment of the present invention, when the actual working hours of the project area are greater than the budgeted working hours, and the project area in the personnel hot spot cloud map is a hot spot area, it is determined that there are difficulties or bottlenecks in the personnel in the project area; or, when the actual working hours of the project area are greater than the budgeted working hours, and the project area in the personnel hot spot cloud map is a non-hot spot area, it is determined that the personnel in the project area lack communication or are insufficiently staffed; or, when the actual working hours of the project area are less than or equal to the budgeted working hours, and the project area in the personnel hot spot cloud map is a hot spot area, it is determined that the personnel in the project area communicate frequently or the project corresponding to the project area is large; or, when the actual working hours of the project area are less than or equal to the budgeted working hours, and the project area in the personnel hot spot cloud map is a non-hot spot area, it is determined that the personnel in the project area are more capable, the personnel in the project area are lone rangers, or the project corresponding to the project area is small.

[0055] Among them, a hotspot value can be generated according to the hotspot density of the project area in the personnel hotspot cloud map. When the hotspot value is greater than a set threshold, the project area is a hotspot area; or, when the hotspot value is less than or equal to the set threshold, the project area is a non-hotspot area.

[0056] In the embodiment of the present invention, the threshold value can be set according to the actual situation. For example, the threshold value can be set to 60.

[0057] In the embodiment of the present invention, a hotspot value can be generated according to the hotspot density of the project area in the personnel hotspot cloud map using a full-map hotspot density calculation formula.

[0058] In the embodiment of the present invention, Table 1 is a project management analysis table, as shown in Table 1 below: Table 1 As shown in Table 1 above, if the threshold is set to 60, the actual working hours of the sub-project (Phase A) are greater than the budgeted working hours, and the hotspot value of the sub-project (Phase A) is 85 greater than the set threshold of 60, then the project area is a hotspot area, and it can be determined that there are difficulties or bottlenecks in the personnel in the project area. If the actual working hours of the sub-project (Phase A) are less than the budgeted working hours, and the hotspot value of the sub-project (Phase A) is 60 equal to the set threshold of 60, then the project area is a non-hotspot area, and it can be determined that the personnel in the project area are more capable, the personnel in the project area are lone rangers, or the corresponding projects in the project area are smaller.

[0059] In an embodiment of the present invention, a real-time project dashboard as shown in Table 1 above can be established, that is, a user interface (User Interface, UI for short) of the real-time project dashboard is built around the project monitoring situation of each project area. Among them, it is necessary to set an indicator reference value for each project acceptance indicator. For example, the project acceptance indicator includes working hours, and the indicator reference value is the budgeted working hours. Divide the node management and control for each project as needed, monitor and record the completion and delivery status at each node; match the actual working conditions with the indicator reference value, and generate timeout prediction; retrieve the real-time personnel trajectory flow map and personnel hot spot cloud map of the personnel, generate hot spot values ​​based on the hot spot density (the highest density is 100 points), and the hot spot values ​​are updated regularly; combine the timeout prediction and the personnel hot spot cloud map, and generate the current project management analysis based on the scenario model.

[0060] In the technical solution of the project management analysis method provided by the embodiment of the present invention, the work area is gridded to generate several project areas; indicators are monitored for each project area according to the project acceptance indicators to generate indicator monitoring results; it is determined whether the indicator monitoring results are qualified, and a risk warning is issued when the indicator monitoring results are unqualified; the personnel in each project area are located to generate a personnel hot spot cloud map; project management analysis is performed based on the indicator monitoring results and the personnel hot spot cloud map. In the technical solution provided by the embodiment of the present invention, by gridding the work area, monitoring the indicator monitoring results and the personnel hot spot cloud map for project management analysis, it is possible to release the pressure of project management, improve the effectiveness of node-based management and control, help promote the completion of projects on time and in quantity, and improve the efficiency of project management.

[0061] In the technical solution provided by the embodiment of the present invention, based on the perspective of spatial behavior management, with the help of behavioral feedback during project implementation, reverse auxiliary speculation is established, the strong supervision model is "loosened", the project management link is simplified, and it is more friendly.

[0062] In the technical solution provided by the embodiment of the present invention, based on real-time management and control during the project process, it is possible to analyze the development trend of the project, conduct preliminary research and analysis of problems in advance, and contribute to timely correction of the project and scientific decision-making.

[0063] The technical solution provided by the embodiment of the present invention has strong scalability. In addition to being applicable to common project process overtime analysis, it can also explore project execution models and health evaluation mechanisms with higher health by means of correlation analysis of project overtime situations and personnel communication frequencies, and has good application prospects.

[0064] In the technical solution provided by the embodiment of the present invention, refined management can be achieved with the help of grid division, and flow hotspot images can be built with the help of location monitoring. The grid working time progress and hotspot degree matching can be combined to assist in problem analysis.

[0065] The technical solution provided in the embodiment of the present invention can also assist in establishing a project health evaluation.

[0066] In the technical solution provided by the embodiment of the present invention, this technology can help project managers establish a systematic real-time project dashboard, assist them in carrying out process coordination and problem analysis, improve the effectiveness of node-based management and control, and promote the completion of projects on time and in quantity.

[0067] An embodiment of the present invention provides a project management analysis device. Figure 7 A schematic diagram of the structure of a project management analysis device provided by an embodiment of the present invention is as follows: Figure 7 As shown, the device includes: a division module 11, a monitoring module 12, a judgment module 13, a positioning module 14 and an analysis module 15.

[0068] The division module 11 is used to divide the working area into grids to generate a number of project areas.

[0069] The monitoring module 12 is used to monitor indicators of each project area according to the project acceptance indicators and generate indicator monitoring results.

[0070] The judgment module 13 is used to judge whether the indicator monitoring result is qualified, and to issue a risk warning when the indicator monitoring result is unqualified.

[0071] The positioning module 14 is used to locate the personnel in each project area and generate a personnel heat cloud map.

[0072] The analysis module 15 is used to perform project management analysis based on the indicator monitoring results and the personnel hot spot cloud map.

[0073] In the embodiment of the present invention, the division module 11 is specifically used to divide the work area into grids according to a set classification method based on the task decomposition logic of the work breakdown structure, and generate a plurality of project areas.

[0074] In the embodiment of the present invention, the project acceptance index includes working hours, workload, transaction volume or investment amount.

[0075] In the embodiment of the present invention, when the project acceptance index includes working hours, the detection module 12 is specifically used for: Get actual work hours and budgeted work hours for each project area; Monitor indicators for each project area based on actual and budgeted work hours; Generate indicator monitoring results based on the numerical relationship between actual working hours and budgeted working hours in each project area; The judgment module 13 is specifically used to determine that the indicator monitoring result is unqualified when the actual working hours in the project area are greater than the budgeted working hours; or to determine that the indicator monitoring result is qualified when the actual working hours in the project area are less than or equal to the budgeted working hours.

[0076] In the embodiment of the present invention, the positioning module 14 is specifically used for: Get the anchor detection message of personnel in each project area; The signal incoming angle is calculated based on the anchor point detection message through the phase difference; Calculate the personnel location information based on the signal input angle; Generate a personnel hot spot cloud map based on personnel location information.

[0077] In the embodiment of the present invention, the positioning module 14 is specifically used for: Record the location information of each person within the set time range and generate a personnel trajectory flow diagram; Generate a personnel hot spot cloud map based on the multiple personnel stop points in the personnel trajectory flow diagram.

[0078] In the embodiment of the present invention, when the project acceptance index includes working hours, the analysis module 15 is specifically used to determine that when the actual working hours of the project area are greater than the budgeted working hours, and the project area in the personnel hot spot cloud map is a hot spot area, it is determined that there are difficulties or bottlenecks in the personnel of the project area; or, when the actual working hours of the project area are greater than the budgeted working hours, and the project area in the personnel hot spot cloud map is a non-hot spot area, it is determined that the personnel in the project area lack communication or the personnel allocation is insufficient; or, when the actual working hours of the project area are less than or equal to the budgeted working hours, and the project area in the personnel hot spot cloud map is a hot spot area, it is determined that the personnel in the project area communicate frequently or the project corresponding to the project area is large; or, when the actual working hours of the project area are less than or equal to the budgeted working hours, and the project area in the personnel hot spot cloud map is a non-hot spot area, it is determined that the personnel in the project area are more capable, the personnel in the project area are lone rangers, or the project corresponding to the project area is small; Among them, the hotspot value is generated according to the hotspot density of the project area in the personnel hotspot cloud map. When the hotspot value is greater than the set threshold, the project area is a hotspot area; or, when the hotspot value is less than or equal to the set threshold, the project area is a non-hotspot area.

[0079] In the technical solution of the project management analysis method provided by the embodiment of the present invention, the work area is gridded to generate several project areas; indicators are monitored for each project area according to the project acceptance indicators to generate indicator monitoring results; it is determined whether the indicator monitoring results are qualified, and a risk warning is issued when the indicator monitoring results are unqualified; the personnel in each project area are located to generate a personnel hot spot cloud map; project management analysis is performed based on the indicator monitoring results and the personnel hot spot cloud map. In the technical solution provided by the embodiment of the present invention, by gridding the work area, monitoring the indicator monitoring results and the personnel hot spot cloud map for project management analysis, it is possible to release the pressure of project management, improve the effectiveness of node-based management and control, help promote the completion of projects on time and in quantity, and improve the efficiency of project management.

[0080] The project management analysis device provided in this embodiment can be used to implement the above Figure 1 For a detailed description of the project management analysis method, please refer to the above-mentioned embodiment of the project management analysis method, which will not be repeated here.

[0081] An embodiment of the present invention provides a storage medium, which includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute the steps of the embodiment of the above-mentioned project management analysis method. For a specific description, please refer to the embodiment of the above-mentioned project management analysis method.

[0082] An embodiment of the present invention provides a computer device, including a memory and a processor, the memory is used to store information including program instructions, the processor is used to control the execution of the program instructions, and when the program instructions are loaded and executed by the processor, the steps of the embodiment of the above-mentioned project management analysis method are implemented. For a specific description, please refer to the embodiment of the above-mentioned project management analysis method.

[0083] Figure 8 A schematic diagram of a computer device provided by an embodiment of the present invention. Figure 8 As shown, the computer device 20 of this embodiment includes: a processor 21, a memory 22, and a computer program 23 stored in the memory 22 and executable on the processor 21. When the computer program 23 is executed by the processor 21, the method for project management analysis in the embodiment is implemented. To avoid repetition, it is not described one by one here. Alternatively, when the computer program is executed by the processor 21, the functions of each model / unit in the project management analysis device in the embodiment are implemented. To avoid repetition, it is not described one by one here.

[0084] The computer device 20 includes, but is not limited to, a processor 21 and a memory 22. Those skilled in the art will appreciate that Figure 8It is only an example of the computer device 20 and does not constitute a limitation of the computer device 20. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0085] The processor 21 may be a central processing unit (CPU), or 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, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0086] The memory 22 may be an internal storage unit of the computer device 20, such as a hard disk or memory of the computer device 20. The memory 22 may also be an external storage device of the computer device 20, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 20. Further, the memory 22 may also include both an internal storage unit of the computer device 20 and an external storage device. The memory 22 is used to store computer programs and other programs and data required by the computer device. The memory 22 may also be used to temporarily store data that has been output or is to be output.

[0087] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0088] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0089] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0090] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0091] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to perform some steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program codes.

[0092] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A project management analysis method, characterized in that: include: Grid the work area to generate several project areas; Conduct indicator monitoring on each of the project areas according to the project acceptance indicators and generate indicator monitoring results; Determine whether the indicator monitoring result is qualified, and issue a risk warning when the indicator monitoring result is unqualified; Locating the personnel in each of the project areas and generating a personnel heat cloud map; Conduct project management analysis based on the indicator monitoring results and the personnel hot spot cloud map.

2. The method according to claim 1, characterized in that The working area is gridded to generate several project areas, including: Based on the task decomposition logic of the work breakdown structure, the work area is grid-divided according to the set classification method to generate several project areas.

3. The method according to claim 1, characterized in that The project acceptance indicators include working hours, workload, transaction volume or investment amount.

4. The method according to claim 3, characterized in that When the project acceptance index includes working hours, the index monitoring is performed on each project area according to the project acceptance index to generate the index monitoring result, including: Get the actual work hours and the budgeted work hours set for each of the project areas; Monitor indicators for each of the project areas based on actual and budgeted work hours; Generate the indicator monitoring result according to the numerical relationship between the actual working hours and the budgeted working hours in each project area; The determining whether the indicator monitoring result is qualified includes: When the actual working hours in the project area are greater than the budgeted working hours, it is determined that the indicator monitoring result is unqualified; or, When the actual working hours in the project area are less than or equal to the budgeted working hours, it is determined that the indicator monitoring result is qualified.

5. The method according to claim 1, characterized in that The positioning of personnel in each project area to generate a personnel heat cloud map includes: Obtaining anchor point detection information of personnel in each of the project areas; Calculating the signal incoming angle according to the anchor point detection message through the phase difference; Calculate the personnel location information according to the signal transmission angle; Generate a personnel hot spot cloud map based on the personnel positioning information.

6. The method according to claim 5, characterized in that The generating of a personnel heat cloud map according to the personnel location information includes: Record the location information of each person within the set time range and generate a personnel trajectory flow diagram; A personnel hot spot cloud map is generated according to the multiple personnel stop points in the personnel trajectory flow map.

7. The method according to claim 1, characterized in that When the project acceptance indicator includes working hours, the project management analysis is performed according to the indicator monitoring results and the personnel hot spot cloud map, including: When the actual working hours of the project area are greater than the budgeted working hours, and the project area in the personnel hot spot cloud map is a hot spot area, it is determined that there are difficulties or bottlenecks in the personnel of the project area; or, When the actual working hours of the project area are greater than the budgeted working hours, and the project area in the personnel hot spot cloud map is a non-hot spot area, it is determined that the personnel in the project area lack communication or are insufficiently staffed; or, When the actual working hours of the project area are less than or equal to the budgeted working hours, and the project area in the personnel hot spot cloud map is a hot spot area, it is determined that the personnel in the project area communicate frequently or the project corresponding to the project area is large; or, When the actual working hours of the project area are less than or equal to the budgeted working hours, and the project area in the personnel hot spot cloud map is a non-hot spot area, it is determined that the personnel in the project area are relatively capable, the personnel in the project area are lone rangers, or the project corresponding to the project area is relatively small; Among them, a hotspot value is generated according to the hotspot density of the project area in the personnel hotspot cloud map. When the hotspot value is greater than a set threshold, the project area is a hotspot area; or, when the hotspot value is less than or equal to the set threshold, the project area is a non-hotspot area.

8. A project management analysis device, characterized in that: include: The partitioning module is used to divide the work area into grids and generate several project areas; A monitoring module, used to monitor each of the project areas according to the project acceptance indicators and generate indicator monitoring results; A judgment module is used to judge whether the indicator monitoring result is qualified, and to issue a risk warning when the indicator monitoring result is unqualified; A positioning module, used to locate personnel in each of the project areas and generate a personnel heat cloud map; The analysis module is used to perform project management analysis based on the indicator monitoring results and the personnel hot spot cloud map.

9. A storage medium, characterized in that: include: The storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the project management analysis method according to any one of claims 1 to 7.

10. A computer device comprising a memory and a processor, wherein the memory is used to store information including program instructions, and the processor is used to control the execution of the program instructions, characterized in that: When the program instructions are loaded and executed by the processor, the steps of the project management analysis method according to any one of claims 1 to 7 are implemented.

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