Building project management resource scheduling intelligent system

Abstract

The invention relates to the technical field of project management, and discloses a building project management resource scheduling intelligent system, which comprises an information collection module, an information processing module, an information analysis module and an early warning module. The building project management resource scheduling intelligent system calculates the worker skill matching score to ensure that workers with different skills are allocated to proper tasks so as to improve the working efficiency and quality, and compares the equipment availability and the equipment fault probability with an equipment availability threshold and an equipment fault probability threshold respectively. When the availability of the equipment is lower than a corresponding threshold value, the operation condition of the equipment is judged to be poor, and when the failure probability of the equipment is higher than a corresponding threshold value, the risk of equipment failure is judged to be very high, the risk is fed back to a worker in time, and a reordering point and a real-time inventory are compared with an inventory level and a target inventory respectively; when the reordering point is higher than the inventory level and the real-time inventory is lower than the target inventory, it is judged that the inventory is seriously insufficient, and replenishment needs to be conducted as soon as possible.

Description

Technical Field

[0001] The present invention relates to the technical field of project management, in particular to an intelligent system for scheduling resource management of construction projects. Background Art

[0002] In construction project management, resource management is the key to ensuring that projects are completed on time, on budget and according to quality standards. Resource management involves the effective allocation and utilization of human resources, material resources, equipment resources and financial resources. Resource scheduling is a key component of project management. It involves the rational allocation and use of various resources during the project life cycle to minimize costs, optimize timelines and ensure efficiency. Resource scheduling is usually the process of planning and coordinating manpower, equipment, materials and other resources to ensure that the project can proceed smoothly.

[0003] The existing project management resource scheduling is that the project manager uses his own experience and intuition to allocate project resources, but manual resource scheduling is often inefficient, prone to errors or omissions, and decisions may be affected by personal bias or supervisory factors. Summary of the invention

[0004] 1. Technical issues to be resolved

[0005] In view of the deficiencies in the prior art, the present invention provides an intelligent system for resource scheduling of construction project management, which has the advantages of real-time tracking of manpower, equipment and materials, facilitating project managers to promptly discover and solve problems, and improving the efficiency of project management, thereby solving the above-mentioned problems.

[0006] (II) Technical solution

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an intelligent system for resource scheduling of construction project management, comprising an information collection module, an information processing module, an information analysis module and an early warning module;

[0008] The information collection module includes a skill information collection unit, a device information collection unit and a material information collection unit, wherein;

[0009] The skill information collection unit is used to collect task information Rw and worker information Gr, the equipment information collection unit is used to collect equipment normal operation time Zcsj, equipment downtime Tjsj and equipment from the last maintenance time Whsj, the material information collection unit is used to collect material consumption Clxh, material in-transit inventory Ztkc and loss Shl;

[0010] The information collection module forms a task information matrix and a worker information matrix with the collected task information Rw and worker information Gr respectively, and sends the information to the information processing module through the network;

[0011] The information processing module calculates the worker skill matching score Jndf according to the task information matrix and the worker information matrix, calculates the equipment availability Sbky according to the equipment normal operation time Zcsj and the equipment downtime Tjsj, calculates the equipment failure probability Gzgl according to the equipment normal operation time Zcsj and the time from the last maintenance of the equipment to Whsj, calculates the reorder point Zdhd according to the material consumption Clxh and the material in-transit inventory Ztkc, calculates the real-time inventory Sskc according to the material consumption Clxh, the material in-transit inventory Ztkc and the loss Shl, and sends these data to the information analysis module through the network;

[0012] The information analysis module is preset with a device availability threshold Sbky yz , Equipment failure probability threshold Gzgl yz , inventory level Kcsp and target inventory Mbkc, the information analysis module compares the equipment availability Sbky, equipment failure probability Gzgl, reorder point Zdhd and real-time inventory Sskc with the equipment availability threshold Sbky yz , Equipment failure probability threshold Gzgl yz , inventory level Kcsp and target inventory Mbkc are compared. When any value is abnormal, the information analysis module sends the abnormal signal to the early warning module through the network;

[0013] The early warning module feeds back the abnormal signal to the staff.

[0014] Preferably, the task information matrix expression is: The worker information matrix expression is: The subscript n in each matrix indicates that the matrix has n columns, and the subscript m in each matrix indicates that the matrix has m rows.

[0015] Preferably, the worker skill matching score Jndf algorithm expression is as follows:

[0016]

[0017] In the formula, Jndf ij Represents task Rw i and worker Gr j The matching score, Rw ik Represents task Rw iThe degree of requirement for skill category k, Gr jk Represents worker Gr j The ability level in skill category k, where K is the total number of skill categories, Indicates that the requirements for each skill Rw ik The level of ability in this skill Gr jk Multiply and sum.

[0018] Preferably, the device availability Sbky algorithm expression is as follows:

[0019]

[0020] In the formula, Sbky represents equipment availability, Zcsj represents equipment normal operation time, and Tjsj represents equipment downtime.

[0021] Preferably, the device failure probability Gzgl algorithm expression is as follows:

[0022] Gzgl=β0+β1*Zcsj+β2*Whsj

[0023] In the formula, Gzgl represents the probability of equipment failure, β0 represents the basic probability of failure when all predictor variables are 0, β1 represents the change in the probability of failure for each unit increase in the frequency of equipment use, and β2 represents the change in the probability of failure for each unit increase in the last maintenance time.

[0024] Preferably, the reorder point Zdhd algorithm expression is as follows:

[0025] Zdhd=Clxh*Bhzq+Clxh*Bhzq max -Ztkc

[0026] In the formula, Zdhd represents the reorder point, Clxh represents the average consumption of materials in the calculation period, Bhzq represents the replenishment period, and Bhzq max represents the maximum replenishment cycle, Ztkc represents the inventory in transit, Clxh*Bhzq max -Ztkc represents the safety stock.

[0027] Preferably, the real-time inventory Sskc algorithm expression is as follows:

[0028] Sskc=Qckc+Ztkc-Clxh*.Sj-Shl+Tzl

[0029] In the formula, Kcqk represents real-time inventory, Qckc represents the actual inventory in the warehouse at the beginning of the calculation period, Ztkc represents the inventory in transit, Clxh represents the average consumption of materials in the calculation period, Clxh*Sj represents the total consumption in the calculation period, Shl represents the loss amount, and Tzl represents the adjustment amount, which refers to the amount of correction to the current inventory level.

[0030] Preferably, the information analysis module matches tasks and workers according to the maximum value of the calculated worker skill matching score Jndf.

[0031] Preferably, the information analysis module compares the equipment availability Sbky and the equipment failure probability Gzgl with the equipment availability threshold Sbkyyz and the equipment failure probability threshold Gzgl respectively. yz By comparison, when the equipment availability Sbky is lower than the corresponding threshold, the equipment is judged to be in poor operating condition, and when the equipment failure probability Gzgl is higher than the corresponding threshold, the risk of equipment failure is judged to be high.

[0032] Preferably, the information analysis module compares the reorder point Zdhd and the real-time inventory Sskc with the inventory level Kcsp and the target inventory Mbkc respectively. When the reorder point Zdhd is higher than the inventory level Kcsp and the real-time inventory Sskc is lower than the target inventory Mbkc, it is determined that the inventory is seriously insufficient and needs to be replenished as soon as possible.

[0033] Compared with the prior art, the present invention provides an intelligent system for resource scheduling of construction project management, which has the following beneficial effects:

[0034] The present invention can ensure that workers with different skills are assigned to appropriate tasks by calculating the worker skill matching scores to improve work efficiency and quality. The equipment availability and equipment failure probability are compared with the equipment availability threshold and the equipment failure probability threshold respectively. When the equipment availability is lower than the corresponding threshold, it is determined that the equipment is in poor operating condition. When the equipment failure probability is higher than the corresponding threshold, it is determined that the risk of equipment failure is very high, and timely feedback is given to the staff. The staff can discover the problem in time and take corresponding measures. The information analysis module compares the reorder point and the real-time inventory with the inventory level and the target inventory respectively. When the reorder point is higher than the inventory level and the real-time inventory is lower than the target inventory, it is determined that the inventory is seriously insufficient and needs to be replenished as soon as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the system flow of the present invention. DETAILED DESCRIPTION

[0036] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0037] See also Figure 1 , an intelligent system for resource scheduling of construction project management, including an information collection module, an information processing module, an information analysis module and an early warning module, the information collection module including a skill information collection unit, an equipment information collection unit and a material information collection unit;

[0038] The skill information collection unit is used to collect task information Rw and worker information Gr. The equipment information collection unit is used to collect equipment normal operation time Zcsj, equipment downtime Tjsj and equipment last maintenance time Whsj. The material information collection unit is used to collect material consumption Clxh, material in-transit inventory Ztkc and loss Shl.

[0039] The information collection module forms the task information Rw and worker information Gr into a task information matrix and a worker information matrix respectively. The expressions of each matrix are as follows:

[0040] The task information matrix expression is:

[0041] The worker information matrix expression is:

[0042] The information collection module sends this information to the information processing module through the network;

[0043] The information processing module calculates the worker skill matching score Jndf based on the task information matrix and the worker information matrix. The worker skill matching score Jndf algorithm expression is as follows:

[0044]

[0045] In the formula, Jndf ij Represents task Rw i and worker Gr j The matching score, Rw ik Represents task Rw i The degree of requirement for skill category k, Gr jk Represents worker Gr j The ability level in skill category k, where K is the total number of skill categories, Indicates that the requirements for each skill Rw ik The level of ability in this skill Grjk Multiply and sum. The specific examples are shown in the following table:

[0046] The task skill matrix is:

[0047] Skill 1 Skill 2 Task 1 7 5 Task 2 4 8

[0048] The worker skill matrix is:

[0049] Skill 1 Skill 2 Worker 1 8 4 Worker 2 4 9 Worker 3 6 6

[0050] For Task 1, calculate the matching score:

[0051] Worker 1 matching score Jndf = 7*8 + 5*4 = 76;

[0052] Worker 2 matching score Jndf = 7*4 + 5*9 = 73;

[0053] Worker 3 matching score Jndf = 7*6 + 5*6 = 72;

[0054] Task 1 should be assigned to Worker 1 with the highest score;

[0055] For Task 2, calculate the matching score:

[0056] Worker 1 matching score Jndf = 4*8 + 8*4 = 64;

[0057] Worker 2 matching score Jndf = 4*4 + 8*9 = 88;

[0058] Worker 3 matching score Jndf = 4*6 + 8*6 = 72;

[0059] Task 2 should be assigned to Worker 2 with the highest score;

[0060] The worker skill matching score can ensure that workers with different skills are assigned to appropriate tasks to improve work efficiency and quality;

[0061] The information processing module calculates the equipment availability Sbky based on the equipment normal operation time Zcsj and the equipment downtime Tjsj. The equipment availability Sbky algorithm expression is as follows:

[0062]

[0063] In the formula, Sbky represents equipment availability, Zcsj represents equipment uptime, and Tjsj represents equipment downtime;

[0064] The information processing module calculates the equipment failure probability Gzgl based on the equipment normal operation time Zcsj and the time from the last maintenance of the equipment Whsj. The algorithm expression of the equipment failure probability Gzgl is as follows:

[0065] Gzgl=β0+β1*Zcsj+β2*Whsj

[0066] In the formula, Gzgl represents the probability of equipment failure, β0 represents the basic probability of failure when all predictor variables are 0, β1 represents the change in the probability of failure for each unit increase in the frequency of equipment use, and β2 represents the change in the probability of failure for each unit increase in the last maintenance time;

[0067] By monitoring the equipment status in real time, we can ensure that the equipment is available when needed, thus avoiding project delays caused by improper equipment scheduling;

[0068] The information processing module calculates the reorder point Zdhd based on the material consumption Clxh and the material in-transit inventory Ztkc. The algorithm expression of the reorder point Zdhd is as follows:

[0069] Zdhd=Clxh*Bhzq+Clxh*Bhzq max -Ztkc

[0070] In the formula, Zdhd represents the reorder point, Clxh represents the average consumption of materials in the calculation period, Bhzq represents the replenishment period, and Bhzq max represents the maximum replenishment cycle, Ztkc represents the inventory in transit, Clxh*Bhzq max -Ztkc represents the safety stock;

[0071] The information processing module calculates the real-time inventory Sskc based on the material consumption Clxh, the material in-transit inventory Ztkc, and the loss Shl. The real-time inventory Sskc algorithm expression is as follows:

[0072] Sskc=Qckc+Ztkc-Clxh*Sj-Shl+Tzl

[0073] In the formula, Kcqk represents the real-time inventory, Qckc represents the actual inventory in the warehouse at the beginning of the calculation period, Ztkc represents the inventory in transit, Clxh represents the average consumption of materials in the calculation period, Clxh*Sj represents the total consumption in the calculation period, Shl represents the loss amount, and Tzl represents the adjustment amount, which refers to the amount of correction to the current inventory level;

[0074] Ensure the rational use of materials and reduce waste by recording and monitoring the actual usage of materials;

[0075] The information processing module sends these data to the information analysis module through the network;

[0076] The information analysis module compares the equipment availability Sbky and the equipment failure probability Gzgl with the equipment availability threshold Sbky yz And the equipment failure probability threshold Gzgl yz When the equipment availability Sbky is lower than the corresponding threshold, the equipment is judged to be in poor operating condition. When the equipment failure probability Gzgl is higher than the corresponding threshold, the risk of equipment failure is judged to be high. The information analysis module compares the reorder point Zdhd and the real-time inventory Sskc with the inventory level Kcsp and the target inventory Mbkc respectively. When the reorder point Zdhd is higher than the inventory level Kcsp and the real-time inventory Sskc is lower than the target inventory Mbkc, the inventory is judged to be seriously insufficient and needs to be replenished as soon as possible.

[0077] The information analysis module sends the abnormal signal to the early warning module through the network, and the early warning module feeds back the abnormal signal to the staff.

[0078] This system can ensure that workers with different skills are assigned to appropriate tasks by calculating the worker skill matching scores to improve work efficiency and quality. The system compares the equipment availability and equipment failure probability with the equipment availability threshold and equipment failure probability threshold respectively. When the equipment availability is lower than the corresponding threshold, the equipment is judged to be in poor operating condition. When the equipment failure probability is higher than the corresponding threshold, the risk of equipment failure is judged to be high, and timely feedback is given to the staff so that the staff can identify the problem in time and take corresponding measures. The information analysis module compares the reorder point and real-time inventory with the inventory level and target inventory respectively. When the reorder point is higher than the inventory level and the real-time inventory is lower than the target inventory, the inventory is judged to be seriously insufficient and needs to be replenished as soon as possible.

[0079] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent system for resource scheduling of construction project management, characterized by: It includes information collection module, information processing module, information analysis module and early warning module; The information collection module includes a skill information collection unit, a device information collection unit and a material information collection unit, wherein; The skill information collection unit is used to collect task information Rw and worker information Gr, the equipment information collection unit is used to collect equipment normal operation time Zcsj, equipment downtime Tjsj and equipment from the last maintenance time Whsj, the material information collection unit is used to collect material consumption Clxh, material in-transit inventory Ztkc and loss Shl; The information collection module forms a task information matrix and a worker information matrix with the collected task information Rw and worker information Gr respectively, and sends the information to the information processing module through the network; The information processing module calculates the worker skill matching score Jndf according to the task information matrix and the worker information matrix, calculates the equipment availability Sbky according to the equipment normal operation time Zcsj and the equipment downtime Tjsj, calculates the equipment failure probability Gzgl according to the equipment normal operation time Zcsj and the time from the last maintenance of the equipment to Whsj, calculates the reorder point Zdhd according to the material consumption Clxh and the material in-transit inventory Ztkc, calculates the real-time inventory Sskc according to the material consumption Clxh, the material in-transit inventory Ztkc and the loss Shl, and sends these data to the information analysis module through the network; The information analysis module is preset with a device availability threshold Sbky yz , Equipment failure probability threshold Gzgl vz , inventory level Kcsp and target inventory Mbkc, the information analysis module compares the equipment availability Sbky, equipment failure probability Gzgl, reorder point Zdhd and real-time inventory Sskc with the equipment availability threshold Sbky yz , Equipment failure probability threshold Gzgl vz , inventory level Kcsp and target inventory Mbkc are compared. When any value is abnormal, the information analysis module sends the abnormal signal to the early warning module through the network; The early warning module feeds back the abnormal signal to the staff.

2. The intelligent system for resource scheduling of construction project management according to claim 1 is characterized by: The task information matrix expression is: The worker information matrix expression is: The subscript n in each matrix indicates that the matrix has n columns, and the subscript m in each matrix indicates that the matrix has m rows.

3. The intelligent system for resource scheduling of construction project management according to claim 2 is characterized by: The worker skill matching score Jndf algorithm expression is as follows: In the formula, Jndf ij Represents task Rw i and worker Gr j The matching score, Rw ik Represents task Rw i The degree of requirement for skill category k, Gr jk Represents worker Gr j The ability level in skill category k, where K is the total number of skill categories, Indicates that the requirements for each skill Rw ik The level of ability in this skill Gr jk Multiply and sum.

4. The intelligent system for resource scheduling of construction project management according to claim 3 is characterized by: The equipment availability Sbky algorithm expression is as follows: In the formula, Sbky represents equipment availability, Zcsj represents equipment normal operation time, and Tjsj represents equipment downtime.

5. The intelligent system for resource scheduling of construction project management according to claim 4 is characterized by: The equipment failure probability Gzgl algorithm expression is as follows: Gzgl=β0+β1*Zcsj+β2*Whsj In the formula, Gzgl represents the probability of equipment failure, β0 represents the basic probability of failure when all predictor variables are 0, β1 represents the change in the probability of failure for each unit increase in the frequency of equipment use, and β2 represents the change in the probability of failure for each unit increase in the last maintenance time.

6. The intelligent system for resource scheduling of construction project management according to claim 5 is characterized by: The reorder point Zdhd algorithm expression is as follows: Zdhd=Clxh*Bhzq+Clxh*Bhzq max -Ztkc In the formula, Zdhd represents the reorder point, Clxh represents the average consumption of materials in the calculation period, Bhzq represents the replenishment period, and Bhzq max represents the maximum replenishment cycle, Ztkc represents the inventory in transit, Clxh*Bhzq max -Ztkc represents the safety stock.

7. The intelligent system for resource scheduling of construction project management according to claim 6 is characterized by: The real-time inventory Sskc algorithm expression is as follows: Sskc=Qckc+Ztkc-Clxh*.Sj-Shl+Tzl In the formula, Kcqk represents real-time inventory, Qckc represents the actual inventory in the warehouse at the beginning of the calculation period, Ztkc represents the inventory in transit, Clxh represents the average consumption of materials in the calculation period, Clxh*Sj represents the total consumption in the calculation period, Shl represents the loss amount, and Tzl represents the adjustment amount, which refers to the amount of correction to the current inventory level.

8. The intelligent system for resource scheduling of construction project management according to claim 7 is characterized by: The information analysis module matches tasks and workers according to the maximum value of the worker skill matching score Jndf.

9. The intelligent system for resource scheduling of construction project management according to claim 8, characterized in that: The information analysis module compares the equipment availability Sbky and the equipment failure probability Gzgl with the equipment availability threshold Sbky yz And the equipment failure probability threshold Gzgl yz For comparison, when the equipment availability Sbky is lower than the corresponding threshold, the equipment is judged to be in poor operating condition, and when the equipment failure probability Gzgl is higher than the corresponding threshold, the risk of equipment failure is judged to be high.

10. The intelligent system for resource scheduling of construction project management according to claim 9, characterized in that: The information analysis module compares the reorder point Zdhd and the real-time inventory Sskc with the inventory level Kcsp and the target inventory Mbkc respectively. When the reorder point Zdhd is higher than the inventory level Kcsp and the real-time inventory Sskc is lower than the target inventory Mbkc, it is determined that the inventory is seriously insufficient and needs to be replenished as soon as possible.

Images