CN112418828A - Mechanical parking space construction, installation and management system based on big data - Google Patents
Mechanical parking space construction, installation and management system based on big data Download PDFInfo
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Abstract
The invention discloses a construction, installation and management system for a mechanical parking space based on big data, which relates to the technical field of construction, installation and management and solves the technical problems that the construction progress can not be monitored and the phenomenon that the construction period can not be completed in the prior art is caused, the progress monitoring unit is used for analyzing the working data of the construction site so as to monitor the progress of the construction site, the progress of the construction site is monitored, the working efficiency is improved, the phenomenon that the construction period can not be completed in the construction period is prevented, the working time is reasonably distributed, the working strength of workers is reduced, the equipment detection unit is used for analyzing the data of the installed parking space equipment so as to detect the installed parking space equipment and prevent the construction problem, resulting in increased production costs.
Description
Technical Field
The invention relates to the technical field of construction, installation and management, in particular to a mechanical parking space construction, installation and management system based on big data.
Background
With the fact that more and more vehicles are poured into cities in recent years to bring better experience to the traveling of consumers, the problem of urban parking becomes one of the most remarkable social problems due to the fact that too many vehicles are poured into the cities, and in order to solve the problem, professional and relieved mechanical parking stalls are installed in many business centers and community construction of China to achieve standardized parking.
However, in the prior art, the parking space equipment cannot monitor the construction progress in the installation process, so that the phenomenon that the construction period cannot be completed is caused, and the working efficiency is greatly reduced.
Disclosure of Invention
The invention aims to provide a big data-based mechanical parking space construction installation management system, which analyzes the working data of a construction site through a progress monitoring unit, so that the progress of the construction site is monitored, the working efficiency is improved, the phenomenon that the construction cannot be completed within a construction period is prevented, the working time is reasonably distributed, and the working intensity of workers is reduced.
The purpose of the invention can be realized by the following technical scheme:
a big data-based mechanical parking space construction installation management system comprises an installation management platform, a registration unit, a database, an environment detection unit, a progress monitoring unit and an equipment detection unit;
the progress monitoring unit is used for analyzing the working data of the construction site so as to monitor the progress of the construction site, the working data of the construction site is the number of the parking spaces and the number of the residual materials which are installed most all day, and the specific analysis and monitoring process is as follows:
step SS 1: acquiring the number of the most-installed parking spaces in the construction site all day, marking the number of the most-installed parking spaces in the construction site all day as ZD, then acquiring the total number of the remaining parking spaces in the engineering quantity, marking the total number of the remaining parking spaces in the engineering quantity as SL, and comparing the total number of the remaining parking spaces in the engineering quantity with the number of the most-installed parking spaces in the construction site all day to acquire the predicted total working time T1;
step SS 2: acquiring construction forbidden days, marking the construction forbidden days as JT, acquiring the quantity of residual materials, then comparing the quantity of the residual materials with the quantity of the most installed parking spaces in the whole day to acquire actual residual working time T2, and acquiring actual total working time T3 by a formula T3 which is T2 multiplied by beta + JT, wherein beta is an error correction coefficient, the value is 2.36541202, and the construction forbidden days represent the days of rain and snow weather;
step SS 3: the actual total operating time T3 is compared to the predicted total operating time T1:
if T3 is more than or equal to 1.1T1, the engineering progress is judged to be slow, a slow signal is generated and sent to a mobile phone terminal of a manager;
and if T3 is less than 1.1T1, judging that the project progress is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager.
Further, the environment detection unit is configured to analyze environment information of a construction site, so as to detect a construction environment, where the environment information of the construction site includes temperature data, humidity data, and dust data, the temperature data is a difference between a highest air temperature and a lowest air temperature of the construction site all day long, the humidity data is an average humidity of the construction site in the environment all day long, and the dust data is a dust content in ambient air of the construction site, and the specific analysis and detection process includes:
acquiring the difference value between the highest air temperature and the lowest air temperature of the construction site all day, and marking the difference value between the highest air temperature and the lowest air temperature of the construction site all day as WDC;
acquiring the average humidity of the construction site environment all day, and marking the average humidity of the construction site environment all day as SDZ;
thirdly, acquiring the dust content in the ambient air of the construction site, and marking the dust content in the ambient air of the construction site as HCL;
step four, passing through a formula
Acquiring an environmental coefficient HJ of a construction site, wherein a1, a2 and a3 are all proportional coefficients, and a1 is greater than a2 is greater than a3 is greater than 0;
step five, comparing the environmental coefficient HJ of the construction site with an environmental coefficient threshold value:
if the environmental coefficient HJ of the construction site is larger than or equal to the environmental coefficient threshold value, judging that the environment of the construction site is qualified, generating a qualified signal and sending the qualified signal to mobile phone terminals of managers and constructors;
and if the environmental coefficient HJ of the construction site is less than the environmental coefficient threshold value, judging that the environment of the construction site is unqualified, generating an unqualified signal and sending the unqualified signal to mobile phone terminals of managers and constructors.
Further, equipment detecting element is used for the parking stall equipment data of the completion of analysis installation to detect the parking stall equipment of completion of installation, parking stall equipment data is quantity data, time length data and speed data, quantity data is the ratio of the parking stall quantity of normal operating and the parking stall equipment total number of the completion of installation, it is long for the average debugging of the parking stall equipment of completion of installation to time length data, speed data is the average functioning speed of the work of the parking stall equipment of completion of installation, the parking stall equipment mark of completion of installation is i, i is 1, 2, … …, n, n is the positive integer, concrete analysis testing process is as follows:
step S1: acquiring the ratio of the number of the normally operated parking spaces to the total number of the installed parking space devices, and marking the ratio of the number of the normally operated parking spaces to the total number of the installed parking space devices as BZi;
step S2: acquiring the average debugging time of the installed parking space equipment, and marking the average debugging time of the installed parking space equipment as SCi;
step S3: acquiring the work average running speed of the installed parking space equipment, and marking the work average running speed of the installed parking space equipment as SDi;
step S4: by the formula
Acquiring a quality detection coefficient Xi of the installed parking space equipment, wherein c1, c2 and c3 are proportional coefficients, and c1 is larger than c2 is larger than c3 is larger than 0;
step S5: comparing the quality detection coefficient Xi of the installed parking space equipment with a quality detection coefficient threshold value:
if the quality detection coefficient Xi of the installed parking space equipment is larger than or equal to the quality detection coefficient threshold value, judging that the quality of the installed parking space equipment is normal, generating a quality normal signal and sending the quality normal signal to a mobile phone terminal of a manager;
and if the quality detection coefficient Xi of the installed parking space equipment is less than the quality detection coefficient threshold value, judging that the quality of the installed parking space equipment is abnormal, generating a quality abnormal signal and sending the quality abnormal signal to a mobile phone terminal of a manager.
Further, the registration login unit is used for the manager and the constructor to submit manager data and constructor data through the mobile phone terminal for registration, and to send the manager data and the constructor data which are successfully registered to the database for storage, the manager data comprise names, ages, time of entry and mobile phone numbers of real name authentication of the constructor, and the constructor data comprise names, ages, time of entry and mobile phone numbers of real name authentication of the constructor.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the working data of the construction site are analyzed through a progress monitoring unit, so that the progress of the construction site is monitored, the number of the most-installed parking spaces in the construction site all day is obtained, then the total number of the remaining parking spaces of the engineering quantity is obtained, and the predicted total working time T1 is obtained through comparison between the total number of the remaining parking spaces of the engineering quantity and the number of the most-installed parking spaces in the construction site all day; acquiring the number of construction forbidden days, acquiring the number of residual materials, then comparing the number of the residual materials with the number of the most installed parking spaces in the whole day, acquiring the actual residual working time T2, acquiring the actual total working time T3 by a formula T3 which is T2 multiplied by beta + JT, and if T3 is more than or equal to 1.1T1, judging that the engineering progress is slow, generating a slow signal and transmitting the slow signal to a mobile phone terminal of a manager; if T3 is less than 1.1T1, judging that the project progress is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager; the progress of a construction site is monitored, so that the working efficiency is improved, the phenomenon that the construction period cannot be finished is prevented, the working time is reasonably distributed, and the working strength of workers is reduced;
2. in the invention, the installed parking space equipment data is analyzed through an equipment detection unit, so that the installed parking space equipment is detected, the installed parking space equipment data is obtained, the quality detection coefficient Xi of the installed parking space equipment is obtained through a formula, if the quality detection coefficient Xi of the installed parking space equipment is not less than the quality detection coefficient threshold value, the installed parking space equipment is judged to be normal in quality, a quality normal signal is generated, and the quality normal signal is sent to a mobile phone terminal of a manager; if the quality detection coefficient Xi of the installed parking space equipment is smaller than the quality detection coefficient threshold value, judging that the quality of the installed parking space equipment is abnormal, generating a quality abnormal signal and sending the quality abnormal signal to a mobile phone terminal of a manager; the finished equipment is detected, and the production cost is prevented from being improved due to construction problems.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a big data-based mechanical parking space construction installation management system includes an installation management platform, a registration unit, a database, an environment detection unit, a progress monitoring unit, and an equipment detection unit;
the registration login unit is used for submitting manager data and constructor data to register through mobile phone terminals by managers and constructors, and sending the manager data and the constructor data which are successfully registered to the database for storage, wherein the manager data comprise names, ages, time of entry and mobile phone numbers of real name authentication of the managers, and the constructor data comprise names, ages, time of entry and mobile phone numbers of real name authentication of the constructors;
the environment detection unit is used for analyzing the environment information of a construction site so as to detect the construction environment, the environment information of the construction site comprises temperature data, humidity data and dust data, the temperature data is the difference value of the highest air temperature and the lowest air temperature of the construction site all day long, the humidity data is the average humidity of the construction site all day long, the dust data is the dust content in the environment air of the construction site, and the specific analysis and detection process is as follows:
acquiring the difference value between the highest air temperature and the lowest air temperature of the construction site all day, and marking the difference value between the highest air temperature and the lowest air temperature of the construction site all day as WDC;
acquiring the average humidity of the construction site environment all day, and marking the average humidity of the construction site environment all day as SDZ;
thirdly, acquiring the dust content in the ambient air of the construction site, and marking the dust content in the ambient air of the construction site as HCL;
step four, passing through a formula
Acquiring an environmental coefficient HJ of a construction site, wherein a1, a2 and a3 are all proportional coefficients, and a1 is greater than a2 is greater than a3 is greater than 0;
step five, comparing the environmental coefficient HJ of the construction site with an environmental coefficient threshold value:
if the environmental coefficient HJ of the construction site is larger than or equal to the environmental coefficient threshold value, judging that the environment of the construction site is qualified, generating a qualified signal and sending the qualified signal to mobile phone terminals of managers and constructors;
if the environmental coefficient HJ of the construction site is smaller than the environmental coefficient threshold value, judging that the environment of the construction site is unqualified, generating an unqualified signal and sending the unqualified signal to mobile phone terminals of managers and constructors;
the progress monitoring unit is used for analyzing the working data of the construction site so as to monitor the progress of the construction site, the working data of the construction site is the number of the parking spaces and the number of the residual materials which are installed most all day, and the specific analysis and monitoring process is as follows:
step SS 1: acquiring the number of the most-installed parking spaces in the construction site all day, marking the number of the most-installed parking spaces in the construction site all day as ZD, then acquiring the total number of the remaining parking spaces in the engineering quantity, marking the total number of the remaining parking spaces in the engineering quantity as SL, and comparing the total number of the remaining parking spaces in the engineering quantity with the number of the most-installed parking spaces in the construction site all day to acquire the predicted total working time T1;
step SS 2: acquiring construction forbidden days, marking the construction forbidden days as JT, acquiring the quantity of residual materials, then comparing the quantity of the residual materials with the quantity of the most installed parking spaces in the whole day to acquire actual residual working time T2, and acquiring actual total working time T3 by a formula T3 which is T2 multiplied by beta + JT, wherein beta is an error correction coefficient, the value is 2.36541202, and the construction forbidden days represent the days of rain and snow weather;
step SS 3: the actual total operating time T3 is compared to the predicted total operating time T1:
if T3 is more than or equal to 1.1T1, the engineering progress is judged to be slow, a slow signal is generated and sent to a mobile phone terminal of a manager;
if T3 is less than 1.1T1, judging that the project progress is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager;
the equipment detecting element is used for the parking stall equipment data of the completion of analysis installation to detect the parking stall equipment of the completion of installation, parking stall equipment data is quantity data, time length data and speed data, quantity data is the ratio of the parking stall quantity of normal operating and the parking stall equipment total number of the completion of installation, it is long for the average debugging of the parking stall equipment of the completion of installation to time length data, the average functioning speed of work of the parking stall equipment of speed data for the completion of installation, the parking stall equipment mark that will install the completion is i, i is 1, 2, … …, n, n is the positive integer, concrete analysis testing process is as follows:
step S1: acquiring the ratio of the number of the normally operated parking spaces to the total number of the installed parking space devices, and marking the ratio of the number of the normally operated parking spaces to the total number of the installed parking space devices as BZi;
step S2: acquiring the average debugging time of the installed parking space equipment, and marking the average debugging time of the installed parking space equipment as SCi;
step S3: acquiring the work average running speed of the installed parking space equipment, and marking the work average running speed of the installed parking space equipment as SDi;
step S4: by the formula
Acquiring a quality detection coefficient Xi of the installed parking space equipment, wherein c1, c2 and c3 are proportional coefficients, and c1 is larger than c2 is larger than c3 is larger than 0;
step S5: comparing the quality detection coefficient Xi of the installed parking space equipment with a quality detection coefficient threshold value:
if the quality detection coefficient Xi of the installed parking space equipment is larger than or equal to the quality detection coefficient threshold value, judging that the quality of the installed parking space equipment is normal, generating a quality normal signal and sending the quality normal signal to a mobile phone terminal of a manager;
and if the quality detection coefficient Xi of the installed parking space equipment is less than the quality detection coefficient threshold value, judging that the quality of the installed parking space equipment is abnormal, generating a quality abnormal signal and sending the quality abnormal signal to a mobile phone terminal of a manager.
The working principle of the invention is as follows:
when the mechanical parking space construction installation management system based on big data works, work data of a construction site are analyzed through a progress monitoring unit, so that progress of the construction site is monitored, the number of the parking spaces which are installed most all day in the construction site is obtained, the number of the parking spaces which are installed most all day in the construction site is marked as ZD, the total number of the parking spaces which are left in engineering quantity is obtained, the total number of the parking spaces which are left in engineering quantity is marked as SL, and the predicted total working time T1 is obtained by comparing the total number of the parking spaces which are left in engineering quantity with the number of the parking spaces which are installed most all day in the construction site; acquiring construction forbidden days, marking the construction forbidden days as JT, acquiring the quantity of residual materials, then comparing the quantity of the residual materials with the quantity of the most installed parking spaces in the whole day, acquiring actual residual working time T2, acquiring actual total working time T3 by a formula T3 which is T2 multiplied by beta + JT, judging that the engineering progress is slow if T3 is more than or equal to 1.1T1, generating a slow signal and sending the slow signal to a mobile phone terminal of a manager; and if T3 is less than 1.1T1, judging that the project progress is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (4)
1. A big data-based mechanical parking space construction installation management system is characterized by comprising an installation management platform, a registration unit, a database, an environment detection unit, a progress monitoring unit and an equipment detection unit;
the progress monitoring unit is used for analyzing the working data of the construction site so as to monitor the progress of the construction site, the working data of the construction site is the number of the parking spaces and the number of the residual materials which are installed most all day, and the specific analysis and monitoring process is as follows:
step SS 1: acquiring the number of the most-installed parking spaces in the construction site all day, marking the number of the most-installed parking spaces in the construction site all day as ZD, then acquiring the total number of the remaining parking spaces in the engineering quantity, marking the total number of the remaining parking spaces in the engineering quantity as SL, and comparing the total number of the remaining parking spaces in the engineering quantity with the number of the most-installed parking spaces in the construction site all day to acquire the predicted total working time T1;
step SS 2: acquiring construction forbidden days, marking the construction forbidden days as JT, acquiring the quantity of residual materials, then comparing the quantity of the residual materials with the quantity of the most installed parking spaces in the whole day to acquire actual residual working time T2, and acquiring actual total working time T3 by a formula T3 which is T2 multiplied by beta + JT, wherein beta is an error correction coefficient, the value is 2.36541202, and the construction forbidden days represent the days of rain and snow weather;
step SS 3: the actual total operating time T3 is compared to the predicted total operating time T1:
if T3 is more than or equal to 1.1T1, the engineering progress is judged to be slow, a slow signal is generated and sent to a mobile phone terminal of a manager;
and if T3 is less than 1.1T1, judging that the project progress is normal, generating a normal signal and sending the normal signal to a mobile phone terminal of a manager.
2. The system of claim 1, wherein the environment detection unit is configured to analyze environment information of a construction site, so as to detect a construction environment, the environment information of the construction site includes temperature data, humidity data, and dust data, the temperature data is a difference between a highest air temperature and a lowest air temperature of the construction site all day long, the humidity data is an average humidity of the construction site all day long, and the dust data is a dust content of ambient air of the construction site, and the specific analysis and detection processes are as follows:
acquiring the difference value between the highest air temperature and the lowest air temperature of the construction site all day, and marking the difference value between the highest air temperature and the lowest air temperature of the construction site all day as WDC;
acquiring the average humidity of the construction site environment all day, and marking the average humidity of the construction site environment all day as SDZ;
thirdly, acquiring the dust content in the ambient air of the construction site, and marking the dust content in the ambient air of the construction site as HCL;
step four, passing through a formula
Acquiring an environmental coefficient HJ of a construction site, wherein a1, a2 and a3 are all proportional coefficients, and a1 is greater than a2 is greater than a3 is greater than 0;
step five, comparing the environmental coefficient HJ of the construction site with an environmental coefficient threshold value:
if the environmental coefficient HJ of the construction site is larger than or equal to the environmental coefficient threshold value, judging that the environment of the construction site is qualified, generating a qualified signal and sending the qualified signal to mobile phone terminals of managers and constructors;
and if the environmental coefficient HJ of the construction site is less than the environmental coefficient threshold value, judging that the environment of the construction site is unqualified, generating an unqualified signal and sending the unqualified signal to mobile phone terminals of managers and constructors.
3. The mechanical parking space construction installation management system based on big data as claimed in claim 1, wherein the device detection unit is configured to analyze installed parking space device data, so as to detect the installed parking space device, the parking space device data are quantity data, duration data and speed data, the quantity data is a ratio of the number of the normally operated parking spaces to the total number of the installed parking space devices, the duration data is an average debugging duration of the installed parking space devices, the speed data is an average operating speed of the installed parking space devices, the installed parking space devices are marked as i, i is 1, 2, … …, n, n is a positive integer, and a specific analysis and detection process is as follows:
step S1: acquiring the ratio of the number of the normally operated parking spaces to the total number of the installed parking space devices, and marking the ratio of the number of the normally operated parking spaces to the total number of the installed parking space devices as BZi;
step S2: acquiring the average debugging time of the installed parking space equipment, and marking the average debugging time of the installed parking space equipment as SCi;
step S3: acquiring the work average running speed of the installed parking space equipment, and marking the work average running speed of the installed parking space equipment as SDi;
step S4: by the formula
Acquiring a quality detection coefficient Xi of the installed parking space equipment, wherein c1, c2 and c3 are proportional coefficients, and c1 is larger than c2 is larger than c3 is larger than 0;
step S5: comparing the quality detection coefficient Xi of the installed parking space equipment with a quality detection coefficient threshold value:
if the quality detection coefficient Xi of the installed parking space equipment is larger than or equal to the quality detection coefficient threshold value, judging that the quality of the installed parking space equipment is normal, generating a quality normal signal and sending the quality normal signal to a mobile phone terminal of a manager;
and if the quality detection coefficient Xi of the installed parking space equipment is less than the quality detection coefficient threshold value, judging that the quality of the installed parking space equipment is abnormal, generating a quality abnormal signal and sending the quality abnormal signal to a mobile phone terminal of a manager.
4. The construction, installation and management system for the mechanical parking spaces based on the big data as claimed in claim 1, wherein the registration and login unit is used for managers and constructors to submit manager data and constructor data through mobile phone terminals for registration, and to send the manager data and the constructor data which are successfully registered to the database for storage, the manager data comprise names, ages, time of entry and mobile phone numbers of real name authentication of the managers, and the constructor data comprise names, ages, time of entry and mobile phone numbers of real name authentication of the constructors.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011493361.6A CN112418828A (en) | 2020-12-16 | 2020-12-16 | Mechanical parking space construction, installation and management system based on big data |
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| CN202011493361.6A CN112418828A (en) | 2020-12-16 | 2020-12-16 | Mechanical parking space construction, installation and management system based on big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113058746A (en) * | 2021-03-15 | 2021-07-02 | 深圳民盾安全技术开发有限公司 | System and method for electric pulse control |
| CN113158849A (en) * | 2021-04-07 | 2021-07-23 | 东华工程科技股份有限公司 | Industrial equipment communication microprocessor and method based on 5G |
| CN113313376A (en) * | 2021-05-26 | 2021-08-27 | 湖南长顺项目管理有限公司 | Building acceptance evaluation system based on building site |
-
2020
- 2020-12-16 CN CN202011493361.6A patent/CN112418828A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113058746A (en) * | 2021-03-15 | 2021-07-02 | 深圳民盾安全技术开发有限公司 | System and method for electric pulse control |
| CN113158849A (en) * | 2021-04-07 | 2021-07-23 | 东华工程科技股份有限公司 | Industrial equipment communication microprocessor and method based on 5G |
| CN113313376A (en) * | 2021-05-26 | 2021-08-27 | 湖南长顺项目管理有限公司 | Building acceptance evaluation system based on building site |
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Application publication date: 20210226 |