CN112560232B - Concrete material mixed load and strength prediction system - Google Patents
Concrete material mixed load and strength prediction system Download PDFInfo
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- CN112560232B CN112560232B CN202011382926.3A CN202011382926A CN112560232B CN 112560232 B CN112560232 B CN 112560232B CN 202011382926 A CN202011382926 A CN 202011382926A CN 112560232 B CN112560232 B CN 112560232B
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Abstract
The invention discloses a concrete material mixed load and strength prediction system which comprises a server, a storage, a cloud end, a display module, a high-risk prompt module, a condition simulation module, an environment detection module and a material detection module, wherein the server is respectively connected with the storage, the cloud end, the display module, the high-risk prompt module, the condition simulation module, the environment detection module and the material detection module through a network and a cable; the concrete material mixed load and strength prediction system has the advantages of mixed load and strength prediction, environmental information detection, data simulation and high-risk prompt.
Description
Technical Field
The invention relates to the technical field of concrete detection, in particular to a concrete material mixed load and strength prediction system.
Background
The concrete is artificial stone which is prepared by taking cement as a main cementing material, mixing water, sand, stones and chemical additives and mineral admixtures as necessary according to a proper proportion, uniformly stirring, densely forming, curing and hardening, and is mainly divided into two stages and states: plastic state before setting and hardening, namely fresh concrete or concrete mixture; a hard state after hardening, i.e. hardened concrete or concrete;
with the development of times, the former building mode is changed from soil to concrete, the concrete appears, the strength of the building is guaranteed, but sand and stones are required to be put into the building for mixing before the concrete is mixed, but due to the difference of the environment and the difference of the building structure, the mixed load and the strength of the concrete need to be predicted, accidents are prevented, various displays need to be carried out after detection is finished, simulation and danger prompt need to be carried out before the concrete is used, and accidents are prevented.
Disclosure of Invention
The invention aims to provide a concrete material mixed load and strength prediction system which has the advantages of mixed load and strength prediction, environmental information detection, data simulation and high-risk prompt and solves the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: a concrete material mixed load and strength prediction system comprises a server, a storage, a cloud end, a display module, a high-risk prompt module, a condition simulation module, an environment detection module and a material detection module, wherein the server is respectively connected with the storage, the cloud end, the display module, the high-risk prompt module, the condition simulation module, the environment detection module and the material detection module through a network and a cable;
the server adopts a non-x 86 server to analyze data, and adopts an Intel server CPU and a Windows/NetWare network operating system;
the cloud end is connected with a database by adopting a network, the database is used for carrying out cloud storage and network big data of information storage and carrying out intelligent search on corresponding data information according to the collected information;
the display module adopts a large screen display to display data, is provided with waterproof treatment and carries out sound interaction through sound receiving and playing equipment such as a loudspeaker, a microphone and the like;
the three-dimensional display module adopts a three-dimensional projection technology to perform three-dimensional display and records three-dimensional projection information through a camera;
the plane display module adopts a touch screen display to display data and is provided with a storage to backup the data;
the granularity detection module detects granularity by adopting granularity detection equipment, sets data and gives an alarm;
the granularity proportion module adopts a controller, a CPU and a singlechip to calculate and contrast the granularity proportion;
the moisture detection module detects moisture data of humidity by adopting a humidity and moisture sensor group;
the temperature detection module detects temperature data by adopting a temperature sensor group and carries out real-time positioning by a positioner to acquire weather temperature information;
the terrain detection module measures terrain by adopting a terrain measuring instrument and searches for corresponding terrain conditions according to a network;
the soil information detection module adopts a soil detection sensor to detect soil information and is provided with different prompting lamps according to different soil positions;
the air humidity detection module detects humidity data in air by adopting a humidity sensor group;
the historical information query module adopts a locator to carry out real-time positioning, searches and positions buildings existing in the range of the location according to the time points of the existing records, and prompts historical cultural relics which may possibly appear;
the situation simulation module adopts VR equipment to increase the reality of simulation to through the data generation building information that detects.
Preferably, the high-risk prompt module generates image information according to the concrete material, the environmental information and the material information and according to a designed construction drawing, and carries out intelligent operation prompt on parts which are possibly dangerous.
Preferably, the material detection module, the environment monitoring module and the display module are all composed of a CPU, a controller and a single chip microcomputer.
Preferably, the storage module is stored by a mass storage device and is divided into A, B, C, D four different modules according to different storage information.
Preferably, the display module displays information in three modes, namely standard definition, high definition and super definition, the three modes can be automatically selected according to real-time network speed and can also be manually adjusted, and in the display process, colors can be selected according to different display data for distinguishing the display data.
Compared with the prior art, the invention has the following beneficial effects:
1. the concrete material mixed load and strength prediction system stores data through the storage module, facilitates the storage of the data, the big data is connected through the cloud end, the detected information can be uploaded in real time, the data loss is prevented, the data search is convenient, the display module displays data to facilitate data viewing, the three-dimensional display module generates a three-dimensional model to facilitate three-dimensional data viewing, the data is displayed on the plane through the plane display module, the data is displayed conveniently, the data is summarized through the display module, the data is transmitted conveniently, the detection data are collected through the high-risk prompting module, the building model is generated through the virtual data of the cloud, the dangerous area is conveniently prompted, let the human condition of testing the concrete under this data through situation simulation module, the convenience lets people experience the problem more deeply and place.
2. The concrete material mixed load and strength prediction system detects the granularity of sand through the granularity detection module, conveniently detects the granularity of concrete, determines the concrete sand proportion through the granularity proportion module, conveniently detects the concrete mixed load and strength, detects the mixed moisture of the concrete through the moisture detection module, conveniently detects the concrete, detects the weather temperature data and the ground temperature data through the temperature detection module, conveniently detects the concrete use environment, detects the terrain data through the terrain detection module, conveniently detects the ground inclination condition and the ground data, detects the soil information through the soil information detection module, conveniently detects the soil stress deformation condition, and detects the air humidity through the air humidity detection module, the concrete service environment is conveniently detected, the historical information query module is used for querying the building and the cultural relic information which may occur at the position in the history, and the danger caused by historical factors is prevented.
Drawings
FIG. 1 is a schematic diagram of a system for predicting the mixed load and strength of concrete materials according to the present invention;
FIG. 2 is a schematic diagram of a material detection module of a concrete material mix load and strength prediction system according to the present invention;
FIG. 3 is a schematic diagram of an environment detection module of the system for predicting mixed load and strength of concrete material according to the present invention;
FIG. 4 is a schematic diagram of a display module of the system for predicting mixed load and strength of concrete material according to the present invention.
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.
Example 1
Referring to fig. 1 and 4, a concrete material mixed load and strength prediction system comprises a server, a storage, a cloud, a display module, a high-risk prompt module, a condition simulation module, an environment detection module and a material detection module, wherein the server is respectively connected with the storage, the cloud, the display module, the high-risk prompt module, the condition simulation module, the environment detection module and the material detection module through a network and a cable, the material detection module comprises a granularity detection module, a granularity proportion module and a moisture detection module, the environment detection module comprises a temperature detection module, a terrain detection module, a history information query module, a soil information detection module and an air humidity detection module, the display module is respectively connected with a three-dimensional display module and a plane display module through a cable, and the high-risk prompt module generates image information according to the concrete material, the environment information and the material information and according to a designed drawing building, the intelligent operation prompt is carried out on the parts which are possibly dangerous, the storage module adopts large-capacity storage equipment for storage, and the storage module is divided into A, B, C, D four different modules according to different storage information;
the server adopts a non-x 86 server to analyze data, and adopts an Intel server CPU and a Windows/NetWare network operating system;
the cloud end is connected with a database by adopting a network, the database is used for carrying out cloud storage and network big data of information storage and carrying out intelligent search on corresponding data information according to the acquired information;
the display module adopts a large screen display to display data, is provided with waterproof treatment and performs sound interaction through radio and playback equipment such as a loudspeaker, a microphone and the like, the display information of the display module is divided into three modes of standard definition, high definition and super definition, the three modes can be automatically selected according to real-time network speed and can also be manually adjusted, and in the display process, colors can be selected according to different display data for distinguishing the display data;
the three-dimensional display module adopts a three-dimensional projection technology to perform three-dimensional display and records three-dimensional projection information through a camera;
the plane display module adopts a touch screen display to display data and is provided with a storage to backup the data;
the situation simulation module adopts VR equipment to increase the reality of simulation to through the data generation building information that detects.
Specifically, the method comprises the following steps: store data through storage module, make things convenient for the storage of data, connect the big data through the high in the clouds, and can carry out real-time upload to the information that detects, prevent data loss and make things convenient for the seeking of data, carry out the demonstration of data through display module, conveniently look over the data, generate three-dimensional model through three-dimensional display module, make things convenient for three-dimensional data of looking over, carry out planar show data through plane show module, make things convenient for the show of data, and gather data through show module, make things convenient for the transmission of data, gather the detection data through high-risk suggestion module, and generate building model through the virtual data of high in the clouds, conveniently indicate danger zone, let the human body examine the condition of the concrete under this data through situation simulation module, conveniently let the people experience the problem place more deeply.
Example 2
Please refer to fig. 1, 2, and 3, a concrete material mixed load and strength prediction system, comprising a server, a storage, a cloud, a display module, a high-risk prompt module, a situation simulation module, an environment detection module and a material detection module, wherein the server is connected with the storage, the cloud, the display module, the high-risk prompt module, the situation simulation module, the environment detection module and the material detection module through a network and a cable, the material detection module comprises a granularity detection module, a granularity proportion module and a moisture detection module, the environment detection module comprises a temperature detection module, a terrain detection module, a historical information query module, a soil information detection module and an air humidity detection module, the display module is connected with a three-dimensional display module and a plane display module through a cable, the material detection module, the environment monitoring module and the display module all adopt a CPU, a computer, the controller and the singlechip are arranged;
the granularity detection module detects granularity by adopting granularity detection equipment, sets data and gives an alarm;
the granularity proportion module adopts a controller, a CPU and a singlechip to calculate and contrast the granularity proportion;
the moisture detection module detects moisture data of the humidity by adopting a humidity and moisture sensor group;
the temperature detection module detects temperature data by adopting a temperature sensor group and carries out real-time positioning by a positioner to acquire weather temperature information;
the terrain detection module measures the terrain by adopting a terrain measuring instrument and searches for the corresponding terrain condition according to the network;
the soil information detection module adopts a soil detection sensor to detect soil information and is provided with different prompting lamps according to different soil positions;
the air humidity detection module detects humidity data in air by adopting a humidity sensor group;
the historical information query module adopts a locator to carry out real-time positioning, searches and positions buildings existing in the site range according to the time points with records, and prompts historical cultural relics which may possibly appear;
specifically, the method comprises the following steps: the granularity of the sand and the stone is detected by the granularity detection module, the granularity of the concrete is conveniently detected, the concrete sand and stone proportion is determined by the granularity proportion module, the concrete mixed load and the strength are conveniently detected, the mixed moisture of the concrete is detected by the moisture detection module, the concrete is conveniently detected, the weather temperature data and the ground temperature data are detected by the temperature detection module, the concrete using environment is conveniently detected, the terrain data are detected by the terrain detection module, the ground inclination condition and the foundation data are conveniently detected, the soil information is detected by the soil information detection module, the soil stressed deformation condition is conveniently detected, the air humidity is detected by the air humidity detection module, the concrete using environment is conveniently detected, the building information and the cultural relic information which possibly appear at the position in the history are inquired by the history information inquiry module, the danger caused by the history factor is prevented.
The working principle is as follows: the invention relates to a concrete material mixed load and strength prediction system, when in primary use, big data are connected with a cloud end to collect all data information of concrete and transmit the data information to a server, the server is respectively stored in a storage module according to the data of material information, environment information, simulation data and backup data, after the storage is finished, a temperature detection module detects temperature data, a terrain detection module detects construction environment terrain, a soil information detection module detects soil data of construction positions, an air humidity detection module detects humidity data of air, historical information searches building information and historical building information appearing at corresponding positions after position information is determined according to a locator, after the information detection is finished, the historical information is transmitted to the environment detection module, the environment detection module collects the data and transmits the data to the server, the granularity detection module detects sand and stone granule data, the granularity proportion module determines the granule proportion of each material, the moisture detection module detects the moisture of concrete, after the detection is finished, the material detection module collects the data and transmits the data to the server, the server collects the data and displays the data through the display module, personnel can check the data displayed by the display module, the three-dimensional display module generates and displays three-dimensional data according to the detection data in the server, the camera records and displays the information to backup the display information, the plane display module displays each surface of the three-dimensional display module, the condition simulation module generates the data through VR equipment, the personnel can stereoscopically sense the condition of a building formed by the concrete building, and in the redisplay process, the server is connected with a large database through a cloud end according to the concrete data, load data and strength data are obtained, a high-risk prompt module generates a building component model according to building drawings and concrete data, positions with insufficient load and strength are prompted, corresponding schemes are searched through a large database, solutions are displayed through a display module, and voice interaction can be conducted through voice and the display module.
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 (5)
1. A concrete material mixing load and intensity prediction system is characterized in that: the system comprises a server, a storage, a cloud, a display module, a high-risk prompt module, a condition simulation module, an environment detection module and a material detection module, wherein the server is respectively connected with the storage, the cloud, the display module, the high-risk prompt module, the condition simulation module, the environment detection module and the material detection module through a network and a cable;
the server adopts a non-x 86 server to analyze data, and adopts an Intel server CPU and a Windows/NetWare network operating system;
the cloud end is connected with a database by adopting a network, the database is used for carrying out cloud storage and network big data of information storage and carrying out intelligent search on corresponding data information according to the collected information;
the display module adopts a large screen display to display data, is provided with waterproof treatment and carries out sound interaction through a loudspeaker and a microphone sound receiving and playing device;
the three-dimensional display module adopts a three-dimensional projection technology to perform three-dimensional display and records three-dimensional projection information through a camera;
the plane display module adopts a touch screen display to display data and is provided with a storage to backup the data;
the granularity detection module detects granularity by adopting granularity detection equipment, sets data and gives an alarm;
the granularity proportion module adopts a controller, a CPU and a singlechip to calculate and contrast the granularity proportion;
the moisture detection module detects moisture data of humidity by adopting a humidity and moisture sensor group;
the temperature detection module detects temperature data by adopting a temperature sensor group and carries out real-time positioning by a positioner to acquire weather temperature information;
the terrain detection module measures terrain by adopting a terrain measuring instrument and searches for corresponding terrain conditions according to a network;
the soil information detection module adopts a soil detection sensor to detect soil information and is provided with different prompting lamps according to different soil positions;
the air humidity detection module detects humidity data in air by adopting a humidity sensor group;
the historical information query module adopts a locator to carry out real-time positioning, searches and positions buildings existing in the range of the location according to the time point of the existing record, and prompts historical cultural relics which may possibly appear;
the situation simulation module adopts VR equipment to increase the reality of simulation to through the data generation building information that detects.
2. The system of claim 1, wherein the system is configured to predict the combined load and strength of a concrete material: the high-risk prompt module generates image information according to concrete materials, environment information and material information and according to a designed construction drawing, and carries out intelligent operation prompt on parts which are possibly dangerous.
3. The system of claim 1, wherein the system is configured to predict the combined load and strength of a concrete material: the material detection module, the environment monitoring module and the display module are all composed of a CPU, a controller and a single chip microcomputer.
4. The system of claim 1, wherein the system is configured to predict the combined load and strength of a concrete material: the storage module adopts mass storage equipment for storage, and is divided into A, B, C, D four different modules according to different storage information.
5. The system of claim 1, wherein the system is configured to predict the combined load and strength of a concrete material: the display module displays information which is divided into three modes of standard definition, high definition and super definition, the three modes can be automatically selected according to real-time network speed and also can be manually adjusted, and in the display process, colors can be selected according to different display data for distinguishing the display data.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104991051A (en) * | 2015-06-30 | 2015-10-21 | 华侨大学 | Method for predicting concrete strength based on hybrid model |
| CN111505252A (en) * | 2020-04-27 | 2020-08-07 | 上海建工集团股份有限公司 | System for predicting concrete strength of construction site |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108349824B (en) * | 2015-06-04 | 2021-04-20 | 威瑞飞有限责任公司 | After the materials are mixed, the CMA is added into the concrete |
| CA2956649A1 (en) * | 2016-01-31 | 2017-07-31 | Romeo Ilarian Ciuperca | Self-annealing concrete forms and method of making and using same |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104991051A (en) * | 2015-06-30 | 2015-10-21 | 华侨大学 | Method for predicting concrete strength based on hybrid model |
| CN111505252A (en) * | 2020-04-27 | 2020-08-07 | 上海建工集团股份有限公司 | System for predicting concrete strength of construction site |
Non-Patent Citations (2)
| Title |
|---|
| The damage process zone characteristics at crack tip in concrete;Ye Zhiming;《Applied Mathematics and Mechanics volume 19, Article number: 37 (1998)》;19980131;第37-43页 * |
| 基于现场总线的厂拌站集散控制系统;柳青 等;《湖南工业职业技术学院学报》;20091028;第8-10+14页 * |
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