Construction site improved operation efficiency analysis optimization method and system and storage medium
By acquiring the specialized skills and skill levels of construction workers, and dynamically adjusting sub-tasks, combined with the actual duration differences in the construction cycle, the problem of mismatch between skills and tasks in on-site construction operations was solved, achieving precise optimization of construction efficiency and control of the construction period.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-01
- Publication Date
- 2026-04-03
AI Technical Summary
In existing technologies, on-site construction efficiency management relies on manual experience and lacks data support, resulting in a mismatch between skills and tasks, an inability to identify efficiency bottlenecks, and difficulty in achieving precise optimization of construction efficiency.
By acquiring the specialized skills and levels of construction workers, and dynamically adjusting sub-tasks based on preset durations and skill improvement rates, optimization is achieved by combining the actual duration differences of the construction cycle, and automated management is carried out using construction information input units and analysis optimization models.
It has achieved precise optimization of construction efficiency, significantly improved construction efficiency, reasonably controlled the construction period, dynamically adjusted and adapted the skill proficiency and tasks of construction personnel, and reduced rework rate and overtime.
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Figure CN121787774A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of construction operation data analysis, specifically to an efficiency analysis and optimization method, system, and storage medium for improved operations at construction sites. Background Technology
[0002] In the construction industry, on-site operational efficiency management is a core aspect affecting project schedule, cost, and quality. Current technologies primarily rely on manual experience and standardized processes for construction management, which has the following drawbacks: (1) Experience-driven dispatching See Figure 1 As shown, managers assign tasks based on personal experience or recommendations from senior workers (e.g., "Xiao Wang is fast at building walls, so assign him to build walls"). This model lacks data support and is prone to mismatch between skills and tasks: for example, assigning novice workers to high-difficulty processes (such as pouring complex structures) can result in more than 30% overtime and a significant increase in rework rate.
[0003] (2) Post-event remedial monitoring See Figure 1 As shown, work progress relies on manual records (such as paper attendance sheets) and post-work inspections; when a process exceeds the time limit (such as a standard work period of 2 days, but an actual work period of 3 days), the management can only passively hold the person accountable, and cannot intervene in advance or identify the root cause of the efficiency bottleneck (such as skill gaps in specific processes).
[0004] In summary, existing technologies lack the ability to quantify the patterns of efficiency improvement in repetitive construction processes, have insufficient automation in data collection, and lack data support for management decisions, making it difficult to achieve precise optimization of construction efficiency. Summary of the Invention
[0005] In view of the deficiencies in the existing technology, the technical problem solved by the present invention is: how to analyze and optimize construction efficiency during improved operations at the construction site, so as to improve construction efficiency and control the construction period.
[0006] To achieve the above objectives, in a first aspect, embodiments of this application provide an efficiency analysis and optimization method for improved operations at construction sites, the method comprising the following steps: Obtain specialized skills information from construction workers, including specialized skills and their levels; Based on the specialized skill level, the preset time required for construction workers to complete a single construction cycle is determined, and the preset time is inversely proportional to the specialized skill level. The tasks are assigned according to specific skills, preset duration, and total construction time; Based on the specific skill level, the preset duration, and the preset skill improvement rate, the theoretical time required to complete the nth construction cycle is predicted. The skill improvement rate is inversely proportional to the specific skill level. Based on the difference between the theoretical duration and the actual duration of completing the nth construction cycle, the sub-tasks are optimized. The optimization process includes: When the theoretical duration does not match the actual duration, the skill improvement rate and / or preset duration are modified based on the difference between the theoretical and actual durations. Then, the (n+1)th construction cycle is allocated based on the modified preset duration and the remaining total construction time. The theoretical duration required for the (n+1)th construction cycle is predicted based on the modified skill improvement rate.
[0007] In conjunction with the first aspect, in one implementation, the process of obtaining the specialized skills information of construction workers includes: Obtain the specialized skill information of construction workers, assign and associate a unique identification number and a monitoring number of the construction time monitoring device with each worker; allocate a corresponding skill improvement rate according to the specialized skill level; and combine the specialized skill information, identification number, monitoring number, and skill improvement rate to form the worker's identification information.
[0008] In conjunction with the first aspect, in one implementation, after completing the nth construction cycle, the method further includes the following step: updating the identity information of the construction personnel.
[0009] In conjunction with the first aspect, in one implementation, the process of allocating sub-tasks based on specialized skills, preset duration, and total construction time includes: Identify construction personnel with the specific skills required for each construction task; With the aim of completing the construction work within the total construction time, each construction task is assigned a corresponding number of construction personnel in order of preset time from shortest to longest to form sub-tasks.
[0010] In conjunction with the first aspect, in one implementation, the process of allocating sub-tasks based on specialized skills, preset duration, and total construction time further includes: assigning priority to each construction task, and sequentially allocating sub-tasks for each construction task in descending order of priority.
[0011] In conjunction with the first aspect, in one implementation, the formula for calculating the theoretical duration Tn is: Tn = T1 × nlog2r; Where T1 represents the time required to complete the first construction cycle; In the initial calculation, T1 is the preset duration. After the first construction cycle is completed, T1 is the actual duration required to complete the first construction cycle. r represents the skill improvement rate, 0 <r<1。
[0012] In conjunction with the first aspect, in one implementation, the process for determining the difference between the theoretical duration and the actual duration includes: setting a reasonable error threshold between the theoretical duration and the actual duration; determining whether the difference between the theoretical duration and the actual duration is above the reasonable error threshold; if so, determining that there is a difference between the theoretical duration and the actual duration; otherwise, determining that there is no difference between the theoretical duration and the actual duration.
[0013] In conjunction with the first aspect, in one implementation, the process of optimizing sub-tasks based on the difference between theoretical and actual duration includes: The standard time for each task is compared and analyzed with the actual time, and the preset time is optimized based on the difference between the standard time and the actual time. The actual time taken by construction workers who complete the same sub-task and have the same level of specialized skills is compared and analyzed, and the construction workers are optimized based on the differences in the actual time taken by different construction workers. By comparing and analyzing the actual time spent by the same construction worker in different construction cycles, the construction workers can be optimized based on the differences in actual time.
[0014] Secondly, embodiments of this application provide an efficiency analysis and optimization system for improved operations at construction sites. The system includes a construction information input unit and a construction operation allocation module equipped with an analysis and optimization model. The construction information entry unit is used to: execute the process of obtaining the specialized skill information of construction personnel; The construction operation allocation module includes a construction duration preset unit, a sub-operation allocation unit, a construction duration prediction unit, and a construction efficiency analysis and optimization unit; The construction time preset unit is used to: execute the process of determining the preset time required for construction personnel to complete a single construction cycle operation based on their specialized skill level; The sub-task allocation unit is used to: execute the process of allocating sub-tasks based on specialized skills, preset duration, and total construction time; The construction time prediction unit is used to: execute the process of predicting the theoretical time required to complete the nth construction cycle based on the special skill level, preset time and preset skill improvement rate; The construction efficiency analysis and optimization unit is used to: execute the process of optimizing sub-tasks based on the difference between the theoretical duration and the actual duration of completing the nth construction cycle.
[0015] Thirdly, embodiments of this application provide a computer-readable storage medium storing an efficiency analysis and optimization program for improved operations at a construction site, wherein when the efficiency analysis and optimization program for improved operations at a construction site is executed, it implements the steps of the method provided in the first aspect.
[0016] Compared with the prior art, the advantages of this application are: This application first allocates construction tasks based on the specialized skills of the construction workers, the preset time limit, and the actual construction time. Then, after adjusting the skill improvement rate based on the difference between the actual and theoretical completion time of the construction cycle tasks, it reallocates the tasks for the next construction cycle. In this case: After the initial allocation of sub-tasks, this application can dynamically and reasonably adjust the next construction cycle tasks automatically based on the predicted and actual trends in construction completion time. Since the sub-tasks are obtained according to the specific skill level, this application has highly adapted the skill proficiency of construction personnel to the construction tasks, and continuously optimized the sub-tasks based on this, thereby significantly improving construction efficiency.
[0017] Meanwhile, this application monitors the changing trend of construction completion time in each cycle in stages, but when the completion time is abnormal (does not match the theoretical time), it can intervene "instantly" (i.e., dynamically adjust the construction operation), which not only further improves construction efficiency, but also achieves precise optimization of construction efficiency and reasonably controls the construction period. Attached Figure Description
[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0019] Figure 1 A schematic diagram of the on-site construction task allocation process in existing technologies; Figure 2 This is a flowchart illustrating the efficiency analysis and optimization method for improved operations at the construction site in the embodiments of this application; Figure 3 This is a schematic diagram of the workflow of the efficiency analysis and optimization system for improved operations at construction sites in this application embodiment; Figure 4 This is a schematic diagram of the hardware structure of the efficiency analysis and optimization equipment for improved construction site operations involved in the embodiments of this application. Detailed Implementation
[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.
[0021] The flowchart shown in the attached diagram is for illustrative purposes only and does not necessarily include all content and operations / steps, nor does it necessarily have to be performed in the order described. For example, some operations / steps can be broken down, combined, or partially merged, so the actual execution order may change depending on the actual situation.
[0022] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.
[0023] In a first aspect, embodiments of this application provide an efficiency analysis and optimization method for improved operations at construction sites, the method comprising the following steps: Obtain specialized skills information from construction workers, including specialized skills and their levels (i.e., skill proficiency).
[0024] Based on the specialized skill level of the construction workers, determine the preset time required for the construction workers to complete a single construction cycle (e.g., the first cycle as the required time). The preset time is below the standard time corresponding to the construction cycle, and the preset time is inversely proportional to the specialized skill level (i.e., the higher the specialized skill level, the shorter the preset time).
[0025] The sub-tasks are assigned based on the aforementioned specialized skills, preset duration, and total construction duration (for example, the first construction cycle of this project requires x construction workers with specialized skills S and a specialized skill level of y).
[0026] Based on the aforementioned specialized skill levels, preset durations, and preset skill improvement rates (the skill improvement rate is inversely proportional to the specialized skill level), the theoretical time required for construction workers to complete the nth construction cycle is predicted (for example, the time required for the first construction cycle of this project is t). This is because: Individuals' initial skill levels differ, which affects the time required for their first assignment. Individuals with higher initial specialized skill levels tend to have shorter assignment times, but their skill improvement rate may be relatively small due to limited room for improvement. In contrast, individuals with lower initial specialized skill levels tend to have longer assignment times, but they may have greater learning potential and a higher skill improvement rate.
[0027] Based on the difference between the theoretical duration and the actual duration of completing the nth construction cycle, the sub-tasks are optimized. The optimization process includes: When the theoretical duration does not match the actual duration of completing the nth construction cycle, the skill improvement rate and / or preset duration are modified based on the difference between the theoretical and actual durations. Then, the n+1th construction cycle is allocated based on the modified preset duration and the remaining total construction time. The theoretical duration required for the n+1th construction cycle is predicted based on the modified skill improvement rate.
[0028] Therefore, this application first allocates construction tasks based on the specialized skills of the construction workers, the preset time, and the actual construction time; then, after adjusting the skill improvement rate based on the difference between the actual and theoretical completion time of the construction cycle tasks, it reallocates the tasks for the next construction cycle. In this case: After the initial allocation of sub-tasks, this application can dynamically and reasonably adjust the next construction cycle tasks automatically based on the predicted and actual trends in construction completion time. Since the sub-tasks are obtained according to the specific skill level, this application has highly adapted the skill proficiency of construction personnel to the construction tasks, and continuously optimized the sub-tasks based on this, thereby significantly improving construction efficiency.
[0029] Meanwhile, this application monitors the changing trend of construction completion time in each cycle in stages, but when the completion time is abnormal (does not match the theoretical time), it can intervene "instantly" (i.e., dynamically adjust the construction operation), which not only further improves construction efficiency, but also achieves precise optimization of construction efficiency and reasonably controls the construction period.
[0030] In one embodiment, the process for obtaining the specialized skills information of construction workers includes: Obtain the specialized skill information of construction workers, assign a unique identification number and a monitoring number from the construction time monitoring device to each worker, and associate them; allocate a corresponding skill improvement rate based on the specialized skill level in the specialized skill information; combine the specialized skill information, identification number, monitoring number, and skill improvement rate to form the worker's identification information.
[0031] Specifically, the aforementioned construction time monitoring device is a safety helmet equipped with sensors (e.g., it starts timing when the safety helmet is put on and stops timing when the safety helmet is taken off); in this embodiment, the safety helmet is equipped with a temperature sensor (to measure forehead temperature) and a tension sensor (to verify the status of the safety harness buckle). The management center receives on-site information through the network, and the system defaults to the time when the safety helmet is correctly worn as the individual's working time.
[0032] Meanwhile, after completing the nth construction cycle, the above method also includes the following steps: updating the identity information of the construction personnel. The principle is that after the construction personnel complete one construction cycle, their special skill level will be improved. Regular updates can accurately adjust the preset duration according to the actual special skill level, thereby further optimizing the construction efficiency.
[0033] In one embodiment, the process of allocating sub-tasks based on the aforementioned specialized skills, preset duration, and total construction time includes: To ensure the completion of the construction work within the total construction time, construction personnel with specific skills are selected for each construction task. In order of preset time from shortest to longest, a corresponding number of construction personnel are assigned to each construction task to form sub-tasks.
[0034] For example, there are two construction workers matching the construction task of project A: a and b. a's specialized skill level is 8 and b's specialized skill level is 5.
[0035] At this point, construction worker A is selected first (the higher the specialized skill level, the shorter the preset time). When the preset time of construction worker A is greater than the total construction time, construction workers A and B are arranged to work together.
[0036] Furthermore, the above-mentioned task allocation process also includes: assigning priority to each construction task, and allocating the sub-tasks of each construction task in descending order of priority; the principle behind this setting is: with the pool of construction personnel remaining unchanged, priority is given to selecting construction personnel with high skill levels to complete higher priority construction tasks.
[0037] In one embodiment, the formula for calculating the theoretical duration Tn is: Tn = T1 × nlog2r; Where T1 represents the time required to complete the first construction cycle; During the initial calculation, T1 is the preset duration (because only the preset duration can be used the first time). After the first construction cycle is completed, T1 is the actual duration required to complete the first construction cycle. r represents the skill improvement rate, 0 <r<1。
[0038] In one embodiment, the process for determining the difference between the theoretical duration and the actual duration includes: setting a reasonable error threshold between the theoretical duration and the actual duration (which can be set according to historical data); determining whether the difference between the theoretical duration and the actual duration is above the reasonable error threshold; if so, determining that there is a difference between the theoretical duration and the actual duration; otherwise, determining that there is no difference between the theoretical duration and the actual duration.
[0039] The above method is implemented using a model, specifically: Based on n, Tn, and the work time efficiency En, En = Tn / Txn * 100%, where Txn represents the standard duration of the nth construction operation. The model's predicted results are compared with the actual operation time and efficiency in the validation data, and the error index EF is calculated again. For example, the EF of the predicted standard operation time for the third operation and the actual operation time for the third operation is calculated to evaluate the model's predictive accuracy on new data.
[0040] Based on the required accuracy of efficiency prediction for the specific work scenario, a reasonable error threshold is set. If the error index of the validation data is within the set threshold range, the model is considered effective and can reflect the efficiency changes of learning-based tasks in that scenario. If the error exceeds the threshold, the model assumptions and data quality need to be re-examined and the model optimized.
[0041] In one embodiment, the process of optimizing sub-tasks based on the difference between theoretical and actual duration includes: Compare and analyze the standard duration of each task with the actual duration, and optimize the preset duration based on the difference between the standard and actual durations. For example, if the standard duration is 6 hours, the preset duration is 5 hours, and the actual duration is 2 hours, the preset duration can be shortened.
[0042] Compare and analyze the actual time taken by construction workers who complete the same sub-task and have the same specialized skill level. Optimize the construction workers based on the differences in their actual time. For example, if sub-task A is completed by 5 construction workers, all with a specialized skill level of 10, and 4 of them take 1-2 hours to complete, while the other takes 2-4 hours, then the construction worker can be replaced or their specialized skill level can be lowered.
[0043] By comparing and analyzing the actual completion times of the same construction worker across different construction cycles, the selection of construction workers can be optimized based on the differences in actual completion times. For example, if construction worker A's completion time is 3-4 hours in the first 3 construction cycles, then: If the completion time of the fourth construction cycle is 2 to 3 hours, the specialized skill level of the construction worker can be improved. If the completion time of the fourth construction cycle is 5 to 6 hours, the construction worker can be replaced or the worker's specialized skill level can be reduced.
[0044] See below. Figure 2 As shown, the actual execution flow of the above method is illustrated through a specific embodiment.
[0045] S1: Construction Personnel Information Entry: Construction workers are assigned specific skills (Mk) and skill levels (j) for each sub-item, with skill level j divided into 10 levels. The specific skills (Mk) performed by migrant workers are assessed and certified, and their skill levels (j) are evaluated.
[0046] The system inputs the basic information of construction workers, assigns them a unique number v, and issues safety helmets with the corresponding number v. By default, the system ensures a one-to-one correspondence between the safety helmet number v and the migrant worker's number v.
[0047] The safety helmet is equipped with a temperature sensor (to measure forehead temperature) and a tension sensor (to verify the status of the safety harness buckle). The management center receives on-site information via the network, and the system defaults to the time when the safety helmet is correctly worn as the individual's working time.
[0048] S2: Itemized Task Formulation: According to the construction organization design, the priority level i of each sub-item operation k is determined, and the standard operation time Tk of each sub-item operation is set.
[0049] A reverse schedule plan is set up based on the priority level i of sub-item k, the standard working time Tk of sub-item k, the special skills Mk of migrant workers for sub-item k, and the special skill level j of migrant workers. The specific process for formulating the plan is as follows: (1) Sort each sub-item task k according to the priority level i of the sub-items; (2) Determine the standard operation time Tk for each sub-item of operation k; (3) Identify the migrant worker s whose specific skill Mk corresponds to the sub-item of the task k; (4) Select migrant workers based on their priority level j for their specific skills.
[0050] To shorten the overall project duration, multiple migrant workers with specialized skills (Mk) can be assigned to each sub-item of the project at the same time, with priority given to migrant workers with higher skill levels (j).
[0051] S3: Planning for each construction cycle: The foreman conducts a daily roll call and assigns tasks according to the system plan. The foreman can adjust the sub-tasks (k) and the number of migrant workers (s), and the system automatically adjusts the subsequent reverse scheduling plan based on the adjusted plan. After the day's work is completed, the foreman reviews the recorded work time and status based on the actual work status, noting the reasons, which can be confirmed or appealed by the person involved.
[0052] S4: Inspection Process After the completion of each sub-item of work, the team leader involved in sub-item work k shall promptly initiate an acceptance application on the system. The system shall use the time of receipt of the acceptance application as the completion time. The foreman shall promptly conduct on-site acceptance and record the acceptance result a. The acceptance result a is classified into completion grades b according to the construction quality, which are divided into levels 1-5 (level 5 is unqualified). Level 5 requires rework, and the foreman shall confirm the standard work duration Tf on the system and assign laborers s. If there are design changes, the bill of quantities shall be adjusted, the reasons explained, and the foreman shall add a new standard work duration Tg on the system and assign laborers s. The above records can serve as the original basis for work acceptance.
[0053] In the process of implementing the above, a help information database can be established from dimensions such as "problem files" and "knowledge gaps" to facilitate daily management improvement, and to carry out timely and effective training and guidance, accelerate the individual learning process, and improve labor skills.
[0054] Secondly, embodiments of this application also provide an efficiency analysis and optimization system for improved operations at construction sites. This system includes a construction information input unit and a construction operation allocation module equipped with an analysis and optimization model; see also... Figure 3 As shown: The construction information entry unit is used to execute the above-mentioned process of obtaining the specialized skills information of construction personnel.
[0055] The construction operation allocation module includes a construction duration preset unit, a sub-operation allocation unit, a construction duration prediction unit, and a construction efficiency analysis and optimization unit.
[0056] The construction time preset unit is used to: execute the above process of determining the preset time required for construction personnel to complete a single construction cycle operation based on the specialized skill level of the construction personnel; The sub-task allocation unit is used to: execute the above-mentioned process of allocating sub-tasks based on specialized skills, preset duration, and total construction time; The construction time prediction unit is used to: execute the above process of predicting the theoretical time required for construction workers to complete the nth construction cycle based on the special skill level, preset time and preset skill improvement rate; The construction efficiency analysis and optimization unit is used to: execute the above process of optimizing sub-tasks based on the difference between the theoretical time and the actual time for completing the nth construction cycle.
[0057] Thirdly, this application provides an efficiency analysis and optimization device for improved operations at construction sites. The efficiency analysis and optimization device for improved operations at construction sites can be a personal computer (PC), a laptop computer, a server, or other devices with data processing capabilities.
[0058] Reference Figure 4 , Figure 4 This is a schematic diagram of the hardware structure of the efficiency analysis and optimization device for improved construction site operations involved in the embodiments of this application. In the embodiments of this application, the efficiency analysis and optimization device for improved construction site operations may include a processor, a memory, a communication interface, and a communication bus.
[0059] The communication bus can be of any type and is used to interconnect the processor, memory, and communication interface.
[0060] The communication interface includes input / output (I / O) interfaces, physical interfaces, and logical interfaces. These interfaces are used for interconnecting internal components of the efficiency analysis and optimization equipment for improving on-site operations, as well as for interconnecting the equipment with other devices (such as other computing devices or user equipment). Physical interfaces can be Ethernet interfaces, fiber optic interfaces, ATM interfaces, etc.; user equipment can be displays, keyboards, etc.
[0061] Memory can be various types of storage media, such as random access memory (RAM), read-only memory (ROM), non-volatile RAM (NVRAM), flash memory, optical storage, hard disk, programmable ROM (PROM), erasable PROM (EPROM), electrically erasable PROM (EEPROM), etc.
[0062] The processor can be a general-purpose processor, which can call the efficiency analysis and optimization program for improved construction site operations stored in memory and execute the efficiency analysis and optimization method for improved construction site operations provided in the embodiments of this application. For example, the general-purpose processor can be a central processing unit (CPU). The method executed when the efficiency analysis and optimization program for improved construction site operations is called can refer to the various embodiments of the efficiency analysis and optimization method for improved construction site operations in this application, and will not be repeated here.
[0063] Those skilled in the art will understand that Figure 4 The hardware structure shown does not constitute a limitation of this application and may include more or fewer components than shown, or combine certain components, or have different component arrangements.
[0064] Fourthly, embodiments of this application also provide a computer-readable storage medium.
[0065] The computer-readable storage medium of this application stores an efficiency analysis and optimization program for improved construction site operations, wherein when the efficiency analysis and optimization program for improved construction site operations is executed by a processor, it implements the steps of the efficiency analysis and optimization method for improved construction site operations as described above.
[0066] The method implemented when the efficiency analysis and optimization procedure for improved operations at the construction site is executed can be referred to in various embodiments of the efficiency analysis and optimization method for improved operations at the construction site of this application, and will not be repeated here.
[0067] It should be noted that the sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0068] The terms "comprising" and "having," and any variations thereof, in the specification, claims, and accompanying drawings of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such process, method, product, or apparatus. The terms "first," "second," and "third," etc., are used to distinguish different objects, etc., and do not indicate a sequence, nor do they limit "first," "second," and "third" to different types.
[0069] In the description of the embodiments of this application, terms such as "exemplary," "for example," or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplary," "for example," or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or designs. Specifically, the use of terms such as "exemplary," "for example," or "for instance" is intended to present the relevant concepts in a concrete manner.
[0070] In the description of the embodiments of this application, unless otherwise stated, " / " means "or". For example, A / B can mean A or B. The "and / or" in the text is merely a description of the relationship between related objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of this application, "multiple" means two or more.
[0071] In some processes described in the embodiments of this application, multiple operations or steps are included in a specific order. However, it should be understood that these operations or steps may not be executed in the order they appear in the embodiments of this application, or they may be executed in parallel. The sequence number of the operation is only used to distinguish different operations, and the sequence number itself does not represent any execution order. In addition, these processes may include more or fewer operations, and these operations or steps may be executed sequentially or in parallel, and these operations or steps may be combined.
[0072] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) as described above, and includes several instructions to cause a terminal device to execute the methods described in the various embodiments of this application.
[0073] The above are merely specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various equivalent modifications or substitutions within the technical scope disclosed in the present invention, and these modifications or substitutions should all be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the scope of the claims.
Claims
1. A method for efficiency analysis and optimization of improved operations at construction sites, characterized in that, The method includes the following steps: Obtain specialized skills information from construction workers, including specialized skills and their levels; Based on the specialized skill level, the preset time required for construction workers to complete a single construction cycle is determined, and the preset time is inversely proportional to the specialized skill level. The tasks are assigned according to specific skills, preset duration, and total construction time; Based on the specific skill level, the preset duration, and the preset skill improvement rate, the theoretical time required to complete the nth construction cycle is predicted. The skill improvement rate is inversely proportional to the specific skill level. Based on the difference between the theoretical duration and the actual duration of completing the nth construction cycle, the sub-tasks are optimized. The optimization process includes: When the theoretical duration does not match the actual duration, the skill improvement rate and / or preset duration are modified based on the difference between the theoretical and actual durations. Then, the (n+1)th construction cycle is allocated based on the modified preset duration and the remaining total construction time. The theoretical duration required for the (n+1)th construction cycle is predicted based on the modified skill improvement rate.
2. The efficiency analysis and optimization method for improved construction site operations as described in claim 1, characterized in that, The process for obtaining specialized skills information of construction workers includes: Obtain the specialized skill information of construction workers, assign and associate a unique identification number and a monitoring number of the construction time monitoring device with each worker; allocate a corresponding skill improvement rate according to the specialized skill level; and combine the specialized skill information, identification number, monitoring number, and skill improvement rate to form the worker's identification information.
3. The efficiency analysis and optimization method for improved construction site operations as described in claim 2, characterized in that, After completing the nth construction cycle, the following steps are also included: updating the identity information of the construction personnel.
4. The efficiency analysis and optimization method for improved construction site operations as described in claim 1, characterized in that, The process of allocating sub-tasks based on specialized skills, preset duration, and total construction time includes: Identify construction personnel with the specific skills required for each construction task; With the aim of completing the construction work within the total construction time, each construction task is assigned a corresponding number of construction personnel in order of preset time from shortest to longest to form sub-tasks.
5. The efficiency analysis and optimization method for improved construction site operations as described in claim 4, characterized in that, The process of allocating sub-tasks based on specialized skills, preset duration, and total construction time also includes: assigning priority to each construction task, and then allocating sub-tasks for each construction task in descending order of priority.
6. The efficiency analysis and optimization method for improved construction site operations as described in any one of claims 1 to 5, characterized in that, The formula for calculating the theoretical duration Tn is: Tn = T1 × nlog2r; Where T1 represents the time required to complete the first construction cycle; In the initial calculation, T1 is the preset duration. After the first construction cycle is completed, T1 is the actual duration required to complete the first construction cycle. r represents the skill improvement rate, 0 <r<1。 7. The efficiency analysis and optimization method for improved construction site operations as described in any one of claims 1 to 5, characterized in that, The process for determining the difference between the theoretical duration and the actual duration includes: setting a reasonable error threshold between the theoretical duration and the actual duration; determining whether the difference between the theoretical duration and the actual duration is above the reasonable error threshold; if so, determining that there is a difference between the theoretical duration and the actual duration; otherwise, determining that there is no difference between the theoretical duration and the actual duration.
8. The efficiency analysis and optimization method for improved operations at construction sites as described in any one of claims 1 to 5, characterized in that, The process of optimizing sub-tasks based on the difference between theoretical and actual duration includes: The standard time for each task is compared and analyzed with the actual time, and the preset time is optimized based on the difference between the standard time and the actual time. The actual time taken by construction workers who complete the same sub-task and have the same level of specialized skills is compared and analyzed, and the construction workers are optimized based on the differences in the actual time taken by different construction workers. By comparing and analyzing the actual time spent by the same construction worker in different construction cycles, the construction workers can be optimized based on the differences in actual time.
9. An efficiency analysis and optimization system for improved operations at construction sites, characterized in that: The system includes a construction information input unit and a construction operation allocation module equipped with an analysis and optimization model; The construction information entry unit is used to: execute the process of obtaining the specialized skill information of construction personnel; The construction operation allocation module includes a construction duration preset unit, a sub-operation allocation unit, a construction duration prediction unit, and a construction efficiency analysis and optimization unit; The construction time preset unit is used to: execute the process of determining the preset time required for construction personnel to complete a single construction cycle operation based on their specialized skill level; The sub-task allocation unit is used to: execute the process of allocating sub-tasks based on specialized skills, preset duration, and total construction time; The construction time prediction unit is used to: execute the process of predicting the theoretical time required to complete the nth construction cycle based on the special skill level, preset time and preset skill improvement rate; The construction efficiency analysis and optimization unit is used to: execute the process of optimizing sub-tasks based on the difference between the theoretical duration and the actual duration of completing the nth construction cycle.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores an efficiency analysis and optimization program for improved construction site operations, wherein when the efficiency analysis and optimization program for improved construction site operations is executed, it implements the steps of the efficiency analysis and optimization method for improved construction site operations as described in any one of claims 1 to 8.