Cable accessory construction engineering data information management system

Abstract

The invention relates to a cable accessory construction engineering data information management system which comprises a constructor management module and a construction task management module. According to the invention, a mobile terminal app is used as a main interaction interface of the system, which is convenient for constructors to carry out real-time operation and data recording on site; through data analysis and decision support, the intelligent level of construction management is improved, the construction efficiency is improved, the data accuracy is ensured, the construction quality is guaranteed, communication and cooperation in the construction process are enhanced, and construction resources are reasonably allocated; the construction cost is reduced.

Description

[0001] Technical field

[0002] The present invention specifically relates to a cable accessory construction engineering data information management system, and belongs to the technical field of high-voltage power cable accessory construction. Background Art

[0003] The installation of high-voltage power cable accessories is the final key link in the smooth operation of the high-voltage power system. The control of the installation process and installation quality has always been a difficult point. It is also the link that is most prone to abnormalities due to human factors, which directly restricts the normal operation of the entire power system.

[0004] With the rapid development of the power industry, the construction of high-voltage power cable accessories has become increasingly complex and arduous. Traditional construction methods have problems such as low efficiency, inaccurate and untimely construction data recording, and poor communication between the site and the company, which can no longer meet the needs of modern construction management. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a cable accessories construction engineering data information management system.

[0006] The technical solution adopted by the present invention is:

[0007] A cable accessories construction engineering data information management system, including a construction personnel management module and a construction task management module;

[0008] Construction personnel management module: manage all construction personnel, count the construction skills that each construction personnel is capable of and the proficiency of each construction personnel in various construction skills;

[0009] Construction task management module:

[0010] Determine the construction skills through the construction plan, including skill 1, skill 2, skill 3...skill n, and the number of personnel required for each construction skill;

[0011] Assign construction personnel:

[0012] If the number of personnel required for skill 1 is m1, then the construction personnel with the top m1 proficiency ranking who can perform skill 1 are selected as the pre-construction personnel for skill 1;

[0013] If the number of personnel required for skill 2 is m2, then the construction personnel with the top m2 proficiency rankings who are competent for skill 2 are selected from the existing personnel as pre-construction personnel for skill 2;

[0014] If the remaining construction personnel are less than m2, the personnel who are competent for both skills 1 and 2 among the pre-construction personnel of skill 1 are selected as pre-construction personnel of skill 2 in descending order of proficiency of skill 2, and the pre-construction personnel of skill 2 are sorted from high to low according to the proficiency ranking of skill 1 to complete the pre-construction personnel of skill 1;

[0015] If the number of personnel required for skill 3 is m3, then select the top m3 construction personnel with proficiency in skill 3 from the existing personnel as pre-construction personnel for skill 3;

[0016] When the remaining construction personnel are less than m3, the personnel who are competent for both skills 2 and 3 among the pre-construction personnel of skill 2 are selected as pre-construction personnel of skill 3 according to the proficiency of skill 3 from high to low, or the personnel who are competent for both skills 1 and 3 among the pre-construction personnel of skill 1 are selected as pre-construction personnel of skill 3 according to the proficiency from high to low, and the pre-construction personnel of skill 3 are sorted from high to low according to the proficiency of skill 2 or skill 1 to complete the pre-construction personnel of skill 2 or skill 1;

[0017] In this way, according to the number of personnel mn required for skill n, the top mn construction personnel with proficiency in skill n are selected from the remaining personnel as pre-construction personnel for skill n;

[0018] When the remaining construction personnel are less than mn, the personnel who are competent for both skill z and skill n among the pre-construction personnel of skill z from skill 1 to skill n-1 are adjusted to pre-construction personnel of skill n in order of proficiency from high to low, and the pre-construction personnel of skill z are supplemented according to the proficiency ranking of skill z;

[0019] Based on the construction skills that construction workers are capable of and their proficiency in those skills, it is possible to ensure that the proficiency of construction workers for each construction skill reaches the optimal level, and that all construction skills can obtain construction workers who are capable of that construction skill. Construction workers can be more reasonably allocated to corresponding construction skills, effectively improving the construction quality and efficiency of construction workers. At the same time, it can be discovered whether there is a shortage of construction workers so that construction workers can be supplemented in a timely manner.

[0020] Preferably, the cable accessories construction engineering data information management system also includes a construction site monitoring module, a data analysis and decision support module, a mobile terminal app and a monitoring center; construction personnel receive construction tasks, upload construction data, and obtain data analysis and decision support information in real time through the mobile terminal app;

[0021] Construction site monitoring module:

[0022] Process the construction site data and read the data information, including whether the management value meets the process standards and whether there are any safety hazards on site; the construction site data is obtained through the camera in real time to obtain the audio, video and data information of the construction site; construction personnel can view the real-time data on the app to promptly discover and deal with abnormal situations at the construction site. The safety hazards include not wearing labor protection products as required, not wearing safety belts when climbing, and other safety requirements.

[0023] Data analysis and decision support module: Analyze the construction site data and generate a comparison with the established construction operation standards, and issue warnings for projects that exceed the standard construction operation time; prompt for operation values ​​that do not meet the management value standards; summarize the actual operation values ​​of all personnel with different skills and compare them with the operation standard values. The lower the error rate, the higher the skill level of the personnel, and the skill level is displayed with data; at the same time, based on the data analysis results, provide decision support to construction personnel through visual reports, charts, and early warning information; provide construction personnel with construction suggestions and optimization plans based on the data analysis results.

[0024] The beneficial effects of the present invention are:

[0025] The mobile app is used as the main interactive interface of the system, which facilitates construction personnel to perform real-time operations and data recording on site; through data analysis and decision support, the level of intelligent construction management is improved, construction efficiency is improved, data accuracy is ensured, construction quality is guaranteed, communication and collaboration in the construction process are strengthened, and construction resources are rationally allocated; thus, construction costs are reduced. DETAILED DESCRIPTION

[0026] Some embodiments of the present invention are described in detail below.

[0027] Example 1

[0028] A cable accessories construction engineering data information management system, including a construction personnel management module and a construction task management module;

[0029] Construction personnel management module: manage all construction personnel, count the construction skills that each construction personnel is capable of and the proficiency of each construction personnel in various construction skills;

[0030] Construction task management module:

[0031] Determine the construction skills through the construction plan, including skill 1, skill 2, skill 3...skill n, and the number of personnel required for each construction skill;

[0032] Assign construction personnel:

[0033] If the number of personnel required for skill 1 is m1, then the construction personnel with the top m1 proficiency ranking who can perform skill 1 are selected as the pre-construction personnel for skill 1;

[0034] If the number of personnel required for skill 2 is m2, then the construction personnel with the top m2 proficiency rankings who are competent for skill 2 are selected from the existing personnel as pre-construction personnel for skill 2;

[0035] If the remaining construction personnel are less than m2, the personnel who are competent for both skills 1 and 2 among the pre-construction personnel of skill 1 are selected as pre-construction personnel of skill 2 in descending order of proficiency of skill 2; at the same time, the pre-construction personnel of skill 2 are sorted from high to low according to the proficiency ranking of skill 1, and the pre-construction personnel of skill 1 are supplemented;

[0036] If the number of personnel required for skill 3 is m3, then select the top m3 construction personnel with proficiency in skill 3 from the existing personnel as pre-construction personnel for skill 3;

[0037] When the remaining construction personnel are less than m3, the personnel who are competent for both skills 2 and 3 among the pre-construction personnel of skill 2 are selected as pre-construction personnel of skill 3 according to the proficiency of skill 3 from high to low, or the personnel who are competent for both skills 1 and 3 among the pre-construction personnel of skill 1 are selected as pre-construction personnel of skill 3 according to the proficiency from high to low; at the same time, the pre-construction personnel of skill 3 are sorted from high to low according to the proficiency of skill 2 or skill 1, and the pre-construction personnel of skill 2 or skill 1 are supplemented;

[0038] In this way, according to the number of personnel mn required for skill n, the top mn construction personnel with proficiency in skill n are selected from the remaining personnel as pre-construction personnel for skill n;

[0039] When the remaining construction personnel are less than mn, the personnel who are competent for both skill z and skill n among the pre-construction personnel of skill z from skill 1 to skill n-1 are adjusted to pre-construction personnel of skill n in order of proficiency from high to low, and the pre-construction personnel of skill z are supplemented according to the proficiency ranking of skill z;

[0040] Based on the construction skills that construction workers are capable of and their proficiency in those skills, it is possible to ensure that the proficiency of construction workers for each construction skill reaches the optimal level, and that all construction skills can obtain construction workers who are capable of that construction skill. Construction workers can be more reasonably allocated to corresponding construction skills, effectively improving the construction quality and efficiency of construction workers. At the same time, it can be discovered whether there is a shortage of construction workers so that construction workers can be supplemented in a timely manner.

[0041] Example 2

[0042] As described in Example 1, the cable accessories construction project data information management system further includes a construction site monitoring module, a data analysis and decision support module, a mobile terminal app and a monitoring center; construction personnel receive construction tasks, upload construction data, and obtain data analysis and decision support information in real time through the mobile terminal app;

[0043] Construction site monitoring module:

[0044] Process the construction site data and read the data information, including whether the management value meets the process standards and whether there are any safety hazards on site; the construction site data is obtained through the camera in real time to obtain the audio, video and data information of the construction site; construction personnel can view the real-time data on the app to promptly discover and deal with abnormal situations at the construction site. The safety hazards include not wearing labor protection products as required, not wearing safety belts when climbing, and other safety requirements.

[0045] Data analysis and decision support module: Analyze the construction site data, generate a comparison with the established construction operation standards, and warn projects that exceed the construction standard operation time; prompt the operation values ​​that do not meet the management value standards; summarize the actual operation values ​​of all personnel with different skills and compare them with the operation standard values. The lower the error rate, the higher the skill level of the personnel, and the skill level is displayed with data; at the same time, based on the data analysis results, provide decision support to construction personnel through visual reports, charts, and early warning information; provide construction suggestions and optimization plans for construction personnel based on the data analysis results;

[0046] Construction suggestions and optimization plans are generated based on historical data, expert systems, and machine learning algorithms, aiming to improve construction efficiency, reduce costs, and ensure safety;

[0047] Construction site monitoring module includes

[0048] 1. Monitoring Equipment Deployment

[0049] 1. Camera installation:

[0050] Install high-definition network cameras in key areas of the construction site, such as entrances and exits, material storage areas, construction operation surfaces, etc. The cameras should have functions such as waterproof, dustproof, and anti-strong light interference to ensure stable operation in various harsh environments.

[0051] According to the size and complexity of the monitoring area, determine the number and installation location of the camera to achieve all-round and no-blind-angle monitoring coverage. For example, on a large construction site, dozens of cameras may be required to cover different construction areas and floors.

[0052] 2. Sensor layout:

[0053] Deploy various sensors to collect environmental data and equipment operation data at the construction site.

[0054] Environmental sensors include temperature and humidity sensors, noise sensors, etc., which are installed in different locations of the construction site, such as office areas, construction areas, material storage areas, etc., to monitor the environmental conditions of the construction site in real time so that timely measures can be taken to improve the construction environment and ensure the health of construction workers and construction quality.

[0055] Equipment sensors are installed on large construction equipment to monitor the equipment's operating status, such as equipment start / stop status, operating speed, load, oil temperature, oil pressure and other parameters. Through these sensors, hidden equipment failures can be discovered in a timely manner, and maintenance can be arranged in advance to avoid construction delays and safety accidents caused by equipment failures.

[0056] 2. Monitoring Data Collection and Transmission

[0057] 1. Data collection frequency:

[0058] The camera image data is collected in real time at a frequency of [X] frames per second to ensure that the dynamic changes at the construction site can be clearly captured.

[0059] Sensor data can be collected at different frequencies according to the characteristics and importance of the parameters it monitors. For example, a temperature and humidity sensor can collect data every [X] minutes, while a tower crane's operating status sensor may need to collect data every [X] seconds to ensure that the equipment's operating status can be reflected in a timely manner.

[0060] 2. Data transmission method:

[0061] The monitoring data of the construction site is transmitted to the monitoring center through a combination of wired and wireless methods.

[0062] For camera image data and some sensor data that require high data transmission stability, wired network transmission is used, such as laying optical fiber or Ethernet cables, connecting each monitoring device to the LAN switch at the construction site, and then transmitting the data to the monitoring center server through a dedicated network line.

[0063] For some sensor data that is more dispersed and difficult to wire, wireless network transmission is adopted, such as Wi-Fi or 4G / 5G network. Multiple wireless access points are set up at the construction site to ensure that the sensor data can be stably transmitted to the monitoring center. At the same time, in order to ensure the security of data transmission, the transmitted data is encrypted to prevent the data from being stolen or tampered with.

[0064] Monitoring center functions

[0065] 1. Real-time monitoring screen display:

[0066] A large-screen splicing display wall is set up in the monitoring center to centrally display the real-time monitoring images of each camera. The monitoring images should have high-definition and smooth display effects, and can realize single-screen and multi-screen switching display, so that monitoring personnel can fully understand the situation on the construction site.

[0067] Add identification information to each monitoring screen, such as camera number, location, monitoring time, etc., to facilitate monitoring personnel to quickly locate and identify. At the same time, the monitoring screen supports operations such as zooming and panning, so that monitoring personnel can carefully view the details of the construction site.

[0068] 2. Data storage and management:

[0069] The monitoring center server is equipped with a large-capacity storage device for storing monitoring data. The image data storage time is not less than [X] days, and the sensor data storage time is not less than [X] months, so that historical data can be queried and analyzed when necessary.

[0070] Develop a data management system to classify, organize and archive the stored monitoring data to facilitate data retrieval and call. At the same time, the data management system should have data backup and recovery functions to regularly back up monitoring data to prevent data loss.

[0071] 3. Alarm function:

[0072] Establish a monitoring data alarm mechanism. When the monitoring data exceeds the preset threshold range, the system automatically issues an alarm message. For example, when the dust concentration at the construction site exceeds the specified standard, the dust sensor triggers an alarm; when the abnormal gas exceeds the rated value, the equipment sensor triggers an alarm.

[0073] Alarm information is presented in a variety of ways, such as popping up an eye-catching alarm window on the monitoring screen, sounding an alarm, sending SMS notifications to the mobile phones of relevant managers, etc., to ensure that the alarm information can be received and processed in a timely manner. At the same time, the alarm system records detailed information of the alarm event, including alarm time, alarm location, alarm cause, etc., to facilitate subsequent query and analysis.

[0074] Data analysis and decision support module

[0075] 1. Data Source and Integration

[0076] 1. Construction site monitoring data access:

[0077] Obtain various monitoring data such as camera image data, environmental sensor data, and equipment sensor data from the construction site monitoring module and import them into the data analysis platform. The data import process should be automated to ensure that the data can be updated to the data analysis platform in a timely and accurate manner.

[0078] 2. Other relevant data collection:

[0079] In addition to construction site monitoring data, other data related to the construction project are also collected, such as construction schedule data, engineering quality inspection data, personnel attendance data, material procurement data, etc. These data can be obtained from different information systems such as project management system, quality management system, human resources management system, material management system, etc., and integrated into the data analysis platform through data interface or data import tools.

[0080] 3. Data cleaning and preprocessing:

[0081] Clean and preprocess all types of data integrated into the data analysis platform, remove noise, erroneous values ​​and duplicate data, unify data formats and coding standards, and ensure data accuracy, completeness and consistency. At the same time, fill or estimate some missing data reasonably so that subsequent data analysis can proceed smoothly.

[0082] 2. Data Analysis Function

[0083] 1. Construction progress analysis:

[0084] Combine the construction site monitoring data and construction schedule data to analyze the actual implementation of the construction progress. By comparing the planned progress with the actual progress, calculate the construction progress deviation and identify the key factors affecting the construction progress, such as insufficient construction personnel, delayed material supply, equipment failure, etc.

[0085] Use data analysis models to predict the development trend of construction progress, discover risk points that may cause construction delays in advance, and propose corresponding countermeasures. For example, by analyzing historical construction data, a construction progress prediction model is established to predict the completion of construction progress in a certain period of time in the future based on the current construction progress, resource input, and environmental factors, providing a basis for project managers to formulate reasonable construction plans and resource allocation plans.

[0086] 2. Project quality analysis:

[0087] Based on the construction site monitoring data and engineering quality inspection data, a comprehensive analysis of the engineering quality is conducted, including the compliance of the construction process, the quality stability of the construction materials, the safety of the engineering structure, etc.

[0088] Through statistical analysis of quality data, such as calculating indicators such as quality qualification rate and defect rate, the overall level of project quality is evaluated. At the same time, data mining technology is used to mine the potential rules and correlations in quality data, find out the key factors affecting project quality and the root causes of quality problems, and provide targeted suggestions for quality improvement.

[0089] 3. Security risk analysis:

[0090] Comprehensively analyze the environmental data and equipment operation data in the construction site monitoring data, as well as the safety accident record data, to conduct safety risk analysis. Analyze the distribution of safety hazards at the construction site, such as the identification of dangerous areas and early warning of high-risk construction operations.

[0091] Establish a safety risk assessment model, assign corresponding weights to different safety risk factors, and calculate the safety risk level of the construction site. For example, by analyzing the electrical equipment operation data and environmental humidity data at the construction site, assess the risk of electrical fires, etc. According to the safety risk assessment results, formulate corresponding safety precautions and emergency plans to reduce the probability of safety accidents.

[0092] 4. Resource utilization analysis:

[0093] Analyze the utilization of resources such as personnel, materials, equipment and tools at the construction site. Calculate the work efficiency and man-hour utilization of construction personnel through personnel attendance data and construction task allocation data; analyze the procurement cost, inventory turnover rate and waste of materials through material procurement data, material inventory data and construction consumption data; evaluate the utilization rate and maintenance cost of equipment through equipment operation data and maintenance data.

[0094] According to the results of resource utilization analysis, optimize resource allocation and improve resource utilization efficiency. For example, according to the skill level and work efficiency of construction personnel, reasonably adjust the construction task allocation to avoid idle personnel and overwork; according to the inventory of materials and construction progress requirements, formulate a scientific material procurement plan to reduce material backlog and waste; according to the operating status and maintenance cost of equipment and tools, reasonably arrange the use and maintenance plan of equipment and tools to extend the service life of equipment.

[0095] Decision support functions

[0096] Decision model construction:

[0097] According to the needs of construction project management and the results of data analysis, various decision-making models are constructed, such as construction plan optimization model, resource allocation model, quality control model, safety management model, etc. These decision-making models are based on mathematical algorithms, statistical analysis methods and artificial intelligence technology, and can simulate and optimize complex construction management problems, providing decision support for project managers.

[0098] Decision making process:

[0099] The decision-making model is used to generate multiple decision-making plans in combination with the actual situation of the current construction site and the project goals. For example, in the case of construction delays, the decision-making model can generate different rush plans based on resource conditions, cost constraints and construction period requirements, including increasing construction personnel, extending working hours, adjusting construction sequence, etc., and evaluate the advantages and disadvantages of each plan and the implementation effect.

[0100] The decision support function is significantly superior to the traditional personal experience-based processing method, and can provide more accurate predictions, more timely feedback, more personalized suggestions, etc.

Claims

1. A cable accessories construction project data information management system, characterized in that: Including construction personnel management module and construction task management module; Construction personnel management module: manage all construction personnel, count the construction skills that each construction personnel is capable of and the proficiency of each construction personnel in various construction skills; Construction task management module: Determine the construction skills through the construction plan, including skill 1, skill 2, skill 3...skill n, and the number of personnel required for each construction skill; Assign construction personnel: If the number of personnel required for skill 1 is m1, then the construction personnel with the top m1 proficiency ranking who can perform skill 1 are selected as the pre-construction personnel for skill 1; If the number of personnel required for skill 2 is m2, then the construction personnel with the top m2 proficiency rankings who are competent for skill 2 are selected from the existing personnel as pre-construction personnel for skill 2; If the remaining construction personnel are less than m2, the personnel who are competent for both skills 1 and 2 among the pre-construction personnel of skill 1 are selected as pre-construction personnel of skill 2 in descending order of proficiency of skill 2, and the pre-construction personnel of skill 2 are sorted from high to low according to the proficiency ranking of skill 1 to complete the pre-construction personnel of skill 1; If the number of personnel required for skill 3 is m3, then select the top m3 construction personnel with proficiency in skill 3 from the existing personnel as pre-construction personnel for skill 3; When the remaining construction personnel are less than m3, the personnel who are competent for both skills 2 and 3 among the pre-construction personnel of skill 2 are selected as pre-construction personnel of skill 3 according to the proficiency of skill 3 from high to low, or the personnel who are competent for both skills 1 and 3 among the pre-construction personnel of skill 1 are selected as pre-construction personnel of skill 3 according to the proficiency from high to low, and the pre-construction personnel of skill 3 are sorted from high to low according to the proficiency of skill 2 or skill 1 to complete the pre-construction personnel of skill 2 or skill 1; In this way, according to the number of personnel mn required for skill n, the top mn construction personnel with proficiency in skill n are selected from the remaining personnel as pre-construction personnel for skill n; When the remaining number of the construction workers is less than mn, the pre-construction workers with skill z from skills 1 to n-1 who are competent for both skill z and skill n are adjusted to pre-construction workers with skill n in order of proficiency from high to low, and the pre-construction workers with skill z are supplemented according to the proficiency ranking of skill z.

2. The cable accessories construction project data information management system according to claim 1, characterized in that: The cable accessories construction engineering data information management system also includes a construction site monitoring module, a data analysis and decision support module, a mobile terminal app and a monitoring center; construction personnel receive construction tasks, upload construction data, and obtain data analysis and decision support information in real time through the mobile terminal app; Construction site monitoring module: Process the construction site data and read the data information, including whether the management value meets the process standards and whether there are any safety hazards on site; the construction site data is obtained through the camera in real time to obtain the audio, video and data information of the construction site; construction personnel can view the real-time data on the app to promptly discover and deal with abnormal situations at the construction site. The safety hazards include not wearing labor protection products as required, not wearing safety belts when climbing, and other safety requirements. Data analysis and decision support module: Analyze the construction site data, generate data that is compared with the established construction operation standards, and issue warnings for projects that exceed the construction standard operation time; and issue prompts for operation values ​​that do not meet the management value standards; The actual work values ​​of all personnel with different skills are summarized and compared with the work standard values. The lower the error rate, the higher the skill level of the personnel, and the skill level is displayed with data. At the same time, based on the data analysis results, decision support is provided to construction personnel through visual reports, charts, and early warning information. Construction suggestions and optimization plans are provided to construction personnel based on the data analysis results.