CN111159253A - Big data statistical system of light steel villa part - Google Patents

Big data statistical system of light steel villa part Download PDF

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Publication number
CN111159253A
CN111159253A CN201911384604.XA CN201911384604A CN111159253A CN 111159253 A CN111159253 A CN 111159253A CN 201911384604 A CN201911384604 A CN 201911384604A CN 111159253 A CN111159253 A CN 111159253A
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big data
statistics
data
light steel
steel villa
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高友
刘先权
邓芝财
陈亚林
于田
张园菊
于道刚
陈云峰
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Chongqing Youhui Construction Technology Co Ltd
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Chongqing Youhui Construction Technology Co Ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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Abstract

The invention discloses a light steel villa component big data statistical system, which comprises a cloud end, a server, a wake-up statistic module, a big data statistic module, a data acquisition module and a control module, wherein the cloud end is connected with the server; the big data statistics steps are as follows: a. firstly, a power supply is switched on to operate through a big data statistical page or a control module, and a system is started to be pre-started; b. operating through a big data statistics page or a control module to enable the server to establish contact with the cloud and exchange data; c. awakening statistics to perform system self-check feedback, performing self-check on the load state of the big data statistical system through the big data statistical system, and adjusting the speed of data fragment processing by the big data acquisition system according to the load state of the big data processor; d. awakening statistics to carry out big data statistics, and firstly carrying out data acquisition to acquire each data parameter in the light steel villa; e. analyzing and sorting the statistical data and uploading the statistical data to a cloud terminal through a server; the invention has the advantages of dynamic idle time statistics and timing statistics and multi-aspect data acquisition.

Description

Big data statistical system of light steel villa part
Technical Field
The invention relates to the technical field of big data statistics, in particular to a big data statistics system for light steel villa parts.
Background
Big data (big data) refers to a data set which can not be captured, managed and processed by a conventional software tool within a certain time range, and is a mass which needs a new processing mode to have stronger decision-making force, insight finding force and flow optimization capability, the light steel villa has the characteristics of high strength, good anti-seismic performance, simple and quick assembly construction and the like from the structural mechanics perspective, and the components of the light steel villa adopt efficient preservatives to perform anti-rust treatment on the surfaces of steel components, so that the durability of the steel components is ensured;
however, the service life of the existing light steel is short, the loss of each part is not easy to check, the data of the light steel villa parts can be effectively obtained by counting and detecting the light steel villa parts through big data, and the safety coefficient is improved.
Disclosure of Invention
The invention aims to provide a light steel villa part big data statistical system which has the advantages of dynamic idle time statistics, timing statistics and multi-aspect data acquisition and solves the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a big data statistical system for light steel villa parts comprises a cloud end, a server, a wake-up statistic module, a big data statistic module, a data acquisition module and a control module;
the big data statistics steps are as follows:
a. firstly, a power supply is switched on to operate through a big data statistical page or a control module, and a system is started to be pre-started;
b. operating through a big data statistics page or a control module to enable the server to establish contact with the cloud and exchange data;
c. awakening statistics to perform system self-check feedback, performing self-check on the load state of the big data statistical system through the big data statistical system, and adjusting the speed of data fragment processing by the big data acquisition system according to the load state of the big data processor;
d. awakening statistics to carry out big data statistics, and firstly carrying out data acquisition to acquire each data parameter in the light steel villa;
e. and analyzing and sorting the statistical data and uploading the statistical data to the cloud through the server.
Preferably, the system self-checks feedback, that is, the big data processor feeds back the load state of the processor, and the big data acquisition system adjusts the speed of data fragment processing according to the load state of the big data processor.
Preferably, the wake-up statistics are divided into dynamic idle time statistics and timing statistics.
Preferably, the dynamic idle-time statistics is that a trigger time interval and a trigger threshold are dynamically preset on a control page of the big data statistics system, and the timing statistics is that periodic statistics is performed on the control page of the big data statistics system and preset time.
Preferably, data acquisition includes pressure measurement module, level detection module, temperature and humidity detection module and the unsmooth detection module in plane, pressure measurement module adopts pressure sensor to detect the spandrel girder of light steel villa, level detection module adopts the horizontal measuring apparatu to detect each part of light steel villa and prevents that it from supporting for a long time and crooked, temperature and humidity measurement module adopts the humiture inductor, the unsmooth detection module in plane adopts the unsmooth detector in plane.
Preferably, the control module comprises a storage, a processor and a display.
Compared with the prior art, the invention has the following beneficial effects:
1. the utility model provides a big data statistics system of light steel villa part, carries out data exchange through high in the clouds and server, starts through the server and awakens up big data statistics, and big data statistics carries out data acquisition, arrangement statistics to each part in the light steel villa, and the high in the clouds is uploaded through the server to settlement analysis at last.
2. A big data statistical system for light steel villa parts is characterized in that statistics of light steel villa parts in real time is realized through dynamic idle time statistics and timing statistics, trigger time intervals and trigger thresholds are dynamically preset on a control page of the big data statistical system, periodic statistics is carried out on preset time, instructions are sent, dynamic idle time statistics can be carried out when the system is in the preset trigger time intervals and the trigger thresholds, and timing statistics is carried out when other time reaches the preset time.
3. The utility model provides a big data statistics system of light steel villa part, calculate the bearing of light steel through the pressure detection module, detect phenomenons such as crooked appear detecting the light steel villa spandrel girder through horizontal detection module, detect the environment in the light steel villa through the temperature and humidity detection module, through the life-span of big data statistics analysis light steel under this environment, whether there is the wall body to sink light steel villa part detection through planoconcave protruding detection module, arrange the data in order through control module, carry out statistical analysis to massive data.
Drawings
FIG. 1 is an overall frame diagram of a big data statistical system of a light steel villa component of the invention;
FIG. 2 is a flow chart of the awakening statistics of the big data statistics system of the light steel villa component of the invention;
FIG. 3 is a big data system block diagram of a big data statistical system of a light steel villa component of the invention;
fig. 4 is a block diagram of a control module of the big data statistical system of the light steel villa component.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.
Examples 1 to 4:
referring to fig. 1, the system for counting the big data of the light steel villa component comprises a cloud end, a server, a wakeup statistic module, a big data statistic module, a data acquisition module and a control module;
the big data statistics steps are as follows:
a. firstly, a power supply is switched on to operate through a big data statistics page or a control module, a system is started to be pre-started, and a network access is checked so as to facilitate the big data statistics starting;
b. operating through a big data statistical page or a control module, establishing contact between a server and a cloud end and exchanging data, and performing a data exchange access through a corresponding network system;
c. awakening statistics to perform system self-check feedback, performing self-check on the load state of the large data statistics system, adjusting the speed of data fragment processing by the large data acquisition system according to the load state of the large data processor, and checking the load state of the processor to avoid damage of the overload processor in the using process, wherein massive data statistics is huge loss to the processor;
d. awakening statistics to carry out big data statistics, and firstly carrying out data acquisition to acquire each data parameter in the light steel villa;
e. the statistical data is analyzed and sorted and is uploaded to a cloud end through a server, and the big data statistics is used for sorting and analyzing various data and then is uploaded to the cloud end through the server for storage;
example 2:
referring to fig. 1 and 2, a big data statistics system for a light steel villa component comprises a wakeup statistics unit, wherein before big data is started, system self-check feedback is performed, namely a big data processor feeds back the load state of a processor, and a big data acquisition system adjusts the speed of data fragment processing according to the load state of the big data processor, so that overload and processor damage in the using process are avoided; the awakening statistics is divided into dynamic idle time statistics and timing statistics, wherein the dynamic idle time statistics is that a trigger time interval and a trigger threshold are dynamically preset on a control page of a big data statistics system, the timing statistics is that periodic statistics is carried out on the control page of the big data statistics system and the preset time, the periodic statistics is carried out according to the preset time when the big data statistics system is not actively operated, the big data is periodically counted, the dynamic idle time statistics is used for carrying out statistics at any time, a data statistics page or a control module is used for operating and sending an instruction, the dynamic idle time statistics can be carried out to know data in real time if the dynamic preset trigger time interval and the trigger threshold are reached, and the real-time data can be known according to the result of the timing statistics at the moment if the dynamic preset trigger time interval and the trigger threshold are not reached;
example 3;
referring to fig. 1, 3 and 4, a big data statistical system for light steel villa parts comprises a data collecting and controlling module, the data collecting module comprises a pressure detecting module, a level detecting module, a temperature and humidity detecting module and a plane concave-convex detecting module, the pressure detecting module adopts a pressure sensor to detect the bearing beam of the light steel villa, a big data statistical processor can know whether the bearing beam of the light steel villa is damaged or not by comparing and analyzing the pressure value of the bearing beam of the light steel villa and the maximum pressed value of the bearing beam of the light steel villa, the level detecting module adopts a level measuring instrument to detect each part of the light steel villa to prevent the bearing beam from being supported and bent for a long time, if the level detecting instrument detects that each part of the light steel villa deviates from the normal value, the damage of the light steel villa part is proved, the temperature and humidity detecting module adopts a temperature and humidity sensor, the plane concave-convex detecting module adopts a plane concave-convex detecting module, the concave-convex plane detector can detect whether each component of the light steel villa is damaged due to long-time use, the pressure detection module, the horizontal detection module and the concave-convex plane detection module are combined to obtain the existing data of the light steel villa in real time, the temperature and humidity detection module is combined to measure the use data of the environment data prediction light steel villa, the control module comprises a storage device, a processor and a display, the storage device is used as data storage, the processor is used as an operation center, data analysis is carried out, and the display is operated and controlled.
The working principle is as follows: the invention relates to a light steel villa part big data statistical system, when in use, data is preset by a big data statistical control module, the normal data value of the light steel villa and the dynamic idle time statistics are that the dynamic preset trigger time interval and the trigger threshold value on the control page of the big data statistical system and the time period of the timing statistics are carried out, then the big data statistical page or the control module is operated, the system self-checking feedback is carried out firstly, the big data acquisition system adjusts the speed of data fragment processing according to the load state of a big data processor and feeds back the load state of the processor, the dynamic idle time statistics or the timing statistics are carried out after the data is normal, if the dynamic preset trigger time interval and the trigger threshold value are reached, the dynamic idle time statistics or the timing statistics are carried out, the big data statistics carries out data acquisition, the pressure detection module adopts a pressure sensor to detect the bearing beam of the light steel villa, the big data statistics processor can know whether the bearing beam of the light steel villa is damaged or not by comparing and analyzing the pressure value borne by the bearing beam of the light steel villa and the maximum compression value of the bearing beam of the light steel villa, the level detection module adopts a level measuring instrument to detect each part of the light steel villa to prevent the part from being supported and bent for a long time, if the level detector detects that each part of the light steel villa deviates from the normal value, the damage of the part of the light steel villa is proved, the temperature and humidity detection module adopts a temperature and humidity sensor, the plane concave-convex detection module adopts a plane concave-convex detector, the plane concave-convex detector can detect whether the whole part of the light steel villa is damaged or not due to long-time use, and the pressure detection module can detect whether the whole part, The existing data of the light steel villa can be known in real time by combining the horizontal detection module and the plane concave-convex detection module, the service data of the light steel villa is predicted by combining the environmental data measured by the temperature and humidity detection module, and the server uploads the data of big data statistics in real time to the cloud, so that the operation is repeated.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof; the present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.

Claims (6)

1. The utility model provides a light steel villa part big data statistics system which characterized in that: the system comprises a cloud, a server, a wakeup statistic module, a big data statistic module, a data acquisition module and a control module;
the big data statistics steps are as follows:
a. firstly, a power supply is switched on to operate through a big data statistical page or a control module, and a system is started to be pre-started;
b. operating through a big data statistics page or a control module to enable the server to establish contact with the cloud and exchange data;
c. awakening statistics to perform system self-check feedback, performing self-check on the load state of the big data statistical system through the big data statistical system, and adjusting the speed of data fragment processing by the big data acquisition system according to the load state of the big data processor;
d. awakening statistics to carry out big data statistics, and firstly carrying out data acquisition to acquire each data parameter in the light steel villa;
e. and analyzing and sorting the statistical data and uploading the statistical data to the cloud through the server.
2. The light steel villa component big data statistical system according to claim 1, characterized in that: the system self-checks feedback, namely the big data processor feeds back the load state of the processor, and the big data acquisition system adjusts the speed of data fragment processing according to the load state of the big data processor.
3. The light steel villa component big data statistical system according to claim 1, characterized in that: the awakening statistics includes dynamic idle time statistics and timing statistics.
4. A light steel villa component big data statistics system according to claim 1 or 3, characterized in that: the dynamic idle-time statistics is that a trigger time interval and a trigger threshold are dynamically preset on a control page of the big data statistical system, and the timing statistics is that periodic statistics is carried out on the control page of the big data statistical system and preset time.
5. The light steel villa component big data statistical system according to claim 1, characterized in that: data acquisition includes pressure measurement module, level detection module, temperature and humidity detection module and the unsmooth detection module in plane, pressure measurement module adopts pressure sensor to detect the spandrel girder of light steel villa, level detection module adopts horizontal measuring apparatu to detect each part of light steel villa and prevents that it from supporting for a long time and crooked, temperature and humidity detection module adopts the humiture inductor, the unsmooth detection module in plane adopts the unsmooth detector in plane.
6. The light steel villa component big data statistical system according to claim 1, characterized in that: the control module comprises a storage, a processor and a display.
CN201911384604.XA 2019-12-28 2019-12-28 Big data statistical system of light steel villa part Pending CN111159253A (en)

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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102550371A (en) * 2011-11-15 2012-07-11 无锡科技职业学院 System and method for internet-of-things technology based automatic irrigation control for districts or villas
CN104951552A (en) * 2015-06-29 2015-09-30 努比亚技术有限公司 Big data statistical method and system used for big data statistics
CN104952754A (en) * 2015-05-05 2015-09-30 江苏大学 Coated silicon chip sorting method based on machine vision
CN106487562A (en) * 2015-09-01 2017-03-08 天脉聚源(北京)科技有限公司 A kind of method and system of wechat Users'Data Analysis
CN109688028A (en) * 2018-12-26 2019-04-26 中译语通科技股份有限公司 A kind of method for monitoring and analyzing and system based on network big data
CN109828988A (en) * 2019-01-25 2019-05-31 重庆科技学院 A kind of big data statistical method and the system for big data statistics

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102550371A (en) * 2011-11-15 2012-07-11 无锡科技职业学院 System and method for internet-of-things technology based automatic irrigation control for districts or villas
CN104952754A (en) * 2015-05-05 2015-09-30 江苏大学 Coated silicon chip sorting method based on machine vision
CN104951552A (en) * 2015-06-29 2015-09-30 努比亚技术有限公司 Big data statistical method and system used for big data statistics
CN106487562A (en) * 2015-09-01 2017-03-08 天脉聚源(北京)科技有限公司 A kind of method and system of wechat Users'Data Analysis
CN109688028A (en) * 2018-12-26 2019-04-26 中译语通科技股份有限公司 A kind of method for monitoring and analyzing and system based on network big data
CN109828988A (en) * 2019-01-25 2019-05-31 重庆科技学院 A kind of big data statistical method and the system for big data statistics

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