CN113067891B - Intelligent construction site data acquisition method and device, computer equipment and storage medium thereof - Google Patents

Intelligent construction site data acquisition method and device, computer equipment and storage medium thereof Download PDF

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CN113067891B
CN113067891B CN202110376722.7A CN202110376722A CN113067891B CN 113067891 B CN113067891 B CN 113067891B CN 202110376722 A CN202110376722 A CN 202110376722A CN 113067891 B CN113067891 B CN 113067891B
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equipment
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庞旭
丁勇俊
徐健
陈志恒
刘巨龙
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Shenzhen Zhongling Intelligent Technology Co ltd
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    • HELECTRICITY
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    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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Abstract

The invention discloses an intelligent construction site data acquisition method, an intelligent construction site data acquisition device, computer equipment and a storage medium thereof, wherein the intelligent construction site data acquisition method comprises the following steps: acquiring a plurality of equipment operating parameters acquired by an industrial personal computer; determining the parameter value of each equipment operation parameter according to a plurality of equipment operation parameters; controlling the industrial personal computer to inquire the last update time information of each parameter value according to the parameter value of each equipment operation parameter; controlling the industrial personal computer to carry out multiple acquisition by adopting a preset time interval according to the last updated time information; therefore, the deviation of the acquired data can be avoided, and the accuracy of data acquisition is higher.

Description

Intelligent construction site data acquisition method and device, computer equipment and storage medium thereof
Technical Field
The invention relates to the technical field of intelligent construction sites, in particular to a method and a device for acquiring data of an intelligent construction site, computer equipment and a storage medium thereof.
Background
The intelligent construction site is characterized in that an informatization means is used, engineering projects are accurately designed and simulated through a three-dimensional design platform, a construction project informatization ecological circle with interconnection cooperation, intelligent production and scientific management is built around construction process management, data mining analysis is carried out on the data and engineering information collected by the Internet of things in a virtual reality environment, process trend prediction and expert plans are provided, visual intelligent management of engineering construction is achieved, engineering management informatization level is improved, and green construction and ecological construction are gradually achieved. In the correlation technique, the data acquisition is carried out to the data that each sensor equipment collected in the wisdom building site, because the data that sensor equipment collected when data acquisition is changing at any time, leads to the data production deviation of gathering easily for data acquisition's the degree of accuracy is poor, and can not carry out the anytime and anywhere collection through web server and look over.
Disclosure of Invention
The present invention is directed to solving, at least to some extent, one of the technical problems in the related art. To this end, a first objective of the present invention is to provide an intelligent construction site data acquisition method, including:
acquiring a plurality of equipment operating parameters acquired by an industrial personal computer;
determining a parameter value of each equipment operation parameter according to a plurality of equipment operation parameters;
controlling the industrial personal computer to inquire the last update time information of each parameter value according to the parameter value of each equipment operation parameter;
and controlling the industrial personal computer to carry out multiple acquisition by adopting a preset time interval according to the last updated time information.
Preferably, the determining a parameter value of each of the plant operation parameters according to the plurality of plant operation parameters includes:
acquiring an acquisition time range of each equipment operation parameter according to the plurality of equipment operation parameters, and determining a plurality of parameter values corresponding to each equipment operation parameter according to the acquisition time range of each equipment operation parameter;
calculating the times of occurrence of a plurality of parameter values in the acquisition time range;
and performing weight calculation according to the times to obtain a final parameter value of the corresponding equipment.
Preferably, the calculating of the acquisition time range, the parameter value after the number of occurrences of the acquisition time range, comprises:
acquiring a time node corresponding to each parameter value according to the corresponding relation of each parameter value in the acquisition time range;
and inquiring a preset weight coefficient corresponding to each time node according to the time node corresponding to each parameter value, so as to perform weight calculation on the times according to the preset weight coefficient.
Preferably, the performing weight calculation according to the number of times to obtain a final parameter value of the corresponding device includes:
and obtaining the final parameter value of the corresponding equipment by the following calculation formula:
Figure GDA0003808864460000021
wherein l i Is a preset weight coefficient, k is the number of times, N is the final parameter value, S k The parameter value for each time node.
Preferably, the obtaining a time node corresponding to each parameter value according to the corresponding relationship of each parameter value in the acquisition time range includes:
comparing each parameter value corresponding to the acquisition time range with a standard parameter, and judging whether the parameter value is less than or equal to the standard parameter;
and when the parameter value is less than or equal to the standard parameter, acquiring a corresponding time node according to the parameter value.
Preferably, caching a parameter value corresponding to the last update time information into a database according to the last update time information, and controlling the industrial personal computer to perform multiple acquisition by adopting a preset time interval further comprises:
calculating a value change of each parameter value in the last update time information;
and generating a data graph corresponding to the preset time interval according to the numerical value change and the parameter value so as to output the data graph to a visual graphical interface.
The second objective of the present invention is to provide an intelligent construction site data acquisition device, comprising:
the acquisition module is used for acquiring a plurality of equipment operating parameters acquired by the industrial personal computer;
the determining module is used for determining the parameter value of each equipment operating parameter according to a plurality of equipment operating parameters;
the control module is used for controlling the industrial personal computer to inquire the last updating time information of each parameter value according to the parameter value of each equipment operation parameter;
and the cache module is used for controlling the industrial personal computer to carry out multiple acquisition by adopting a preset time interval according to the last updated time information.
Preferably, the determining module comprises:
the first determining unit is used for acquiring the acquisition time range of each equipment operation parameter according to the plurality of equipment operation parameters, and determining a plurality of parameter values corresponding to each equipment operation parameter according to the acquisition time range of each equipment operation parameter;
the calculation unit is used for calculating the times of occurrence of a plurality of parameter values in the acquisition time range;
and the second determining unit is used for carrying out weight calculation according to the times to obtain a final parameter value of the corresponding equipment.
A third object of the present invention is to provide a computer device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to implement the intelligent worksite data acquisition method.
A fourth object of the present invention is to provide a computer storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the intelligent worksite data collection method as described above.
According to the intelligent construction site data acquisition method provided by the embodiment of the invention, a plurality of equipment operation parameters acquired by an industrial personal computer are acquired; determining the parameter value of each equipment operation parameter according to a plurality of equipment operation parameters; controlling the industrial personal computer to inquire the last update time information of each parameter value according to the parameter value of each equipment operation parameter; controlling the industrial personal computer to carry out multiple acquisition by adopting a preset time interval according to the last updated time information; therefore, the deviation of the acquired data can be avoided, and the accuracy of data acquisition is higher.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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In order to more clearly illustrate the embodiments or technical solutions of the present invention, the drawings used in the embodiments or technical solutions of the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for intelligent site data collection according to the present invention;
FIG. 2 is another schematic flow diagram of the intelligent worksite data collection method provided by the present invention;
FIG. 3 is a block diagram of an intelligent worksite data acquisition device provided by the present invention;
FIG. 4 is another block diagram of the intelligent worksite data acquisition device provided by the present invention;
fig. 5 is a block diagram of a computer device provided by the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
Referring to fig. 1, an intelligent worksite data acquisition method provided in an embodiment of the present invention includes:
and S10, acquiring a plurality of equipment operation parameters acquired by the industrial personal computer.
The multiple devices can be sensor devices, the sensor devices comprise dust sensors, humidity sensors, noise sensors and the like, and the multiple devices are installed on a construction site and monitor and collect dust concentration, air humidity and noise intensity on the construction site in real time; the industrial personal computer is an industrial control computer and mainly has the functions of detecting and controlling a production process and various devices; in this embodiment, can adopt web server and industrial computer to link to each other to obtain the operating parameter of a plurality of sensor equipment that the industrial computer gathered through web server, so, can look over the parameter value anytime and anywhere through web server, it is more convenient to use.
And S20, determining the parameter value of each equipment operation parameter according to the plurality of equipment operation parameters.
The specific implementation manner of the step S20 includes:
s21, acquiring an acquisition time range of each equipment operation parameter according to the plurality of equipment operation parameters, and determining a plurality of parameter values corresponding to each equipment operation parameter according to the acquisition time range of each equipment operation parameter;
s22, calculating the times of occurrence of a plurality of parameter values in the acquisition time range;
and S23, performing weight calculation according to the times to obtain a final parameter value of the corresponding equipment.
In this embodiment, adoptThe collection time range can be 1 hour, and the operation parameters of each device in the collection time range change at any time, so that the industrial personal computer can calculate the times of occurrence in the collection time range by the web server by collecting a plurality of parameter values of each device in the collection time range; for example, the dust sensor has a dust concentration of 15mg/m in 1 hour 3 、40mg/m 3 、50mg/m 3 、55mg/m 3 、……、100mg/m 3 、80mg/m 3 、55mg/m 3 、25mg/m 3 、15mg/m 3 And the like, the times of the same dust concentration within 1 hour can be counted and calculated, and then the parameter value of the corresponding dust sensor equipment within the collection time range can be calculated.
Optionally, the collection time range of each device may be set according to actual requirements, and the collection frequency may be 2 seconds and 1 time, so that the parameter value of the corresponding device may be obtained by performing weight calculation on a plurality of parameter values collected by each device, and the parameter value may be cached in the database.
And S30, controlling the industrial personal computer to inquire the last update time information of each parameter value according to the parameter value of each equipment operation parameter.
The web server inquires the last update time information of the parameter value of each device through the industrial personal computer, so that the web server can determine the next acquisition of each device through the last update time information.
And S40, controlling the industrial personal computer to carry out multiple acquisition by adopting a preset time interval according to the last updated time information.
The web server can acquire for multiple times by controlling the industrial personal computer, and further acquire the parameter value of each device from the industrial personal computer, so that the web server can acquire by controlling the industrial personal computer at a preset time interval, for example, the preset time interval can be 5 minutes, that is, after the web server controls the industrial personal computer to acquire and obtain the parameter value within 1 hour in the acquisition time range, the acquisition can be performed at an interval of 5 minutes, and thus, the acquired data is more accurate.
Specifically, after the step S22, obtaining a time node corresponding to each parameter value according to a corresponding relationship of each parameter value in the acquisition time range; and inquiring a preset weight coefficient corresponding to each time node according to the time node corresponding to each parameter value so as to perform weight calculation on the times according to the preset weight coefficient.
The acquisition time range includes a plurality of time nodes, and thus each corresponding time node has a different preset weight coefficient, for example, 6 to 7 am may be divided into 4 time nodes, and then the corresponding preset weight coefficients may have 4, and the 4 preset weight coefficients may be 15%, 20%, 30% and 35%, and thus the parameter value of each time node may be weighted by the corresponding preset weight coefficient to obtain the parameter value in the acquisition time range.
Preferably, the performing weight calculation according to the number of times to obtain the final parameter value of the corresponding device includes:
and obtaining the final parameter value of the corresponding equipment by the following calculation formula:
Figure GDA0003808864460000061
wherein l i Is a preset weight coefficient, k is the number of times, N is the final parameter value, S k The parameter value for each time node.
In this embodiment, the web server performs weight calculation on the parameter value of each time node, so as to obtain the parameter value within the acquisition time range, thereby making the parameter value acquired by each device more accurate; it can be understood that, when the above calculation formula is used for calculation, the number of times each parameter value appears may be calculated first, and then multiplied by the preset weight coefficient of the corresponding time point, so as to calculate the parameter value within the collection time range.
Specifically, a further implementation manner in the above embodiment includes comparing each parameter value corresponding to the standard parameter in the acquisition time range, and determining whether the parameter value is less than or equal to the standard parameter; and when the parameter value is less than or equal to the standard parameter, acquiring a corresponding time node according to the parameter value.
When the parameter value is less than or equal to the standard parameter, the corresponding time node can be obtained according to the parameter value, and when the parameter value is greater than the standard parameter, the abnormal parameter value can be determined and a warning is output for a user to check.
It is understood that the specific implementation manner after the step S40 further includes calculating a value change of each parameter value in the last update time information; and generating a data graph corresponding to a preset time interval according to the numerical value change and the parameter value so as to output the data graph to a visual graphical interface.
The web server is provided with a visual graphical interface, data graphs are generated by abnormal parameter values and the calculated parameter values, and then the data graphs are output to the visual graphical interface for users to check, so that the users can manage and control all areas of a construction site according to the data graphs, and all indexes of the construction site are ensured to be in normal states.
The intelligent construction site data acquisition device 50 provided in the embodiment of the present invention includes:
an obtaining module 51, configured to obtain multiple device operation parameters acquired by an industrial personal computer;
a determining module 52, configured to determine a parameter value of each device operating parameter according to a plurality of device operating parameters;
the control module 53 is used for controlling the industrial personal computer to inquire the last update time information of each parameter value according to the parameter value of each equipment operation parameter;
and the cache module 54 is used for controlling the industrial personal computer to carry out multiple acquisition by adopting a preset time interval according to the last updated time information.
Preferably, the determining module 52 comprises:
the first determining unit 521 is configured to obtain an acquisition time range in which each device operation parameter is located according to the multiple device operation parameters, and determine multiple parameter values corresponding to each device operation parameter according to the acquisition time range in which each device operation parameter is located;
a calculating unit 522, configured to calculate the number of times that the plurality of parameter values appear in the acquisition time range;
the second determining unit 523 is configured to perform weight calculation according to the times to obtain a final parameter value of the corresponding device.
It should be noted that, in the present specification, the embodiments are all described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments may be referred to each other. For the device or system type embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an embodiment of a computer device according to an embodiment of the present invention, and for convenience of description, only parts related to the embodiment of the present invention are shown. Specifically, the computer device 60 comprises a memory 62, a processor 61 and a computer program stored in the memory 62 and executable on the processor 61, wherein the steps of the method according to the above embodiment are implemented when the processor 61 executes the computer program. Alternatively, the processor 61 implements the functions of each module/unit in the apparatus according to the above-mentioned embodiment when executing the computer program.
Illustratively, the computer program may be divided into one or more modules/units, which are stored in the memory 62 and executed by the processor 61 to accomplish the present invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program in the computer device 60.
The computer device 60 may include, but is not limited to, a processor 61, a memory 62. Those skilled in the art will appreciate that the figure is merely an example of a computer device 60 and is not intended to limit the computer device 60 and may include more or fewer components than shown, or some of the components may be combined, or different components, for example the computer device 60 may also include input output devices, network access devices, buses, etc.
The Processor 61 may be a Central Processing Unit (CPU), other general-purpose Processor 61, a Digital Signal Processor (DSP) 61, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic device, discrete default hardware component, or the like. The general purpose processor 61 may be a microprocessor 61 or the processor 61 may be any conventional processor 61 or the like.
The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or a memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device 60. Further, the memory 62 may also include both internal storage units and external storage devices of the computer device 60. The memory 62 is used for storing the computer programs and other programs and data required by the computer device 60. The memory 62 may also be used to temporarily store data that has been output or is to be output.
Embodiments of the present invention further provide a computer-readable storage medium, which stores a computer program, and when the computer program is executed by the processor 61, the computer program implements the steps in the method described in the above embodiments, or when the computer program is executed by the processor 61, the computer program implements the functions of each module/unit in the apparatus described in the above embodiments.
The computer program may be stored in a computer readable storage medium, which when executed by the processor 61, may implement the steps of the various method embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, read-Only Memory (ROM), random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like.
It should be noted that the computer readable medium may contain other components which may be suitably increased or decreased as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media which may not include electrical carrier signals and telecommunications signals in accordance with legislation and patent practice.
The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs.
The modules or units in the system of the embodiment of the invention can be combined, divided and deleted according to actual needs.
Those of ordinary skill in the art would appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic pre-set hardware or in a combination of computer software and electronic pre-set hardware. Whether these functions are performed by pre-determined hardware or software depends on the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided herein, it should be understood that the disclosed apparatus/computer device 60 and method may be implemented in other ways. For example, the above-described embodiment of the apparatus/computer device 60 is merely illustrative, and for example, the division of the modules or units is only one type of logical division, and other divisions may be realized in practice, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in an electrical, mechanical or other form.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.

Claims (7)

1. An intelligent construction site data acquisition method is characterized by comprising the following steps:
acquiring a plurality of equipment operating parameters acquired by an industrial personal computer;
determining a parameter value of each equipment operation parameter according to a plurality of equipment operation parameters;
controlling the industrial personal computer to inquire the last update time information of each parameter value according to the parameter value of each equipment operation parameter;
controlling the industrial personal computer to carry out multiple acquisition by adopting a preset time interval according to the last updated time information;
the determining a parameter value for each of the plant operating parameters based on the plurality of plant operating parameters comprises:
acquiring an acquisition time range of each equipment operation parameter according to the plurality of equipment operation parameters, and determining a plurality of parameter values corresponding to each equipment operation parameter according to the acquisition time range of each equipment operation parameter;
calculating the times of occurrence of a plurality of parameter values in the acquisition time range;
performing weight calculation according to the times to obtain a final parameter value of the corresponding equipment;
the performing weight calculation according to the times to obtain a final parameter value of the corresponding device includes:
and obtaining the final parameter value of the corresponding equipment by the following calculation formula:
Figure FDA0003808864450000011
wherein l i Is a preset weight coefficient, k is the number of times, N is the final parameter value, S k The parameter value for each time node.
2. The intelligent worksite data collection method of claim 1, wherein said calculating the collection time horizon, the parameter values after the number of occurrences of the collection time horizon, comprises:
acquiring a time node corresponding to each parameter value according to the corresponding relation of each parameter value in the acquisition time range;
and inquiring a preset weight coefficient corresponding to each time node according to the time node corresponding to each parameter value so as to carry out weight calculation on the times according to the preset weight coefficient.
3. The method of claim 2, wherein the obtaining a time node corresponding to each parameter value according to the corresponding relationship of each parameter value in the collection time range comprises:
comparing each parameter value corresponding to the acquisition time range with a standard parameter, and judging whether the parameter value is less than or equal to the standard parameter;
and when the parameter value is less than or equal to the standard parameter, acquiring a corresponding time node according to the parameter value.
4. The intelligent construction site data acquisition method according to claim 1, wherein the steps of caching a parameter value corresponding to the last update time information into a database according to the last update time information, and controlling the industrial personal computer to perform multiple acquisition by adopting a preset time interval further comprise:
calculating a value change of each parameter value in the last update time information;
and generating a data graph corresponding to the preset time interval according to the numerical value change and the parameter value so as to output the data graph to a visual graphical interface.
5. An wisdom building site data acquisition device, its characterized in that includes:
the acquisition module is used for acquiring a plurality of equipment operating parameters acquired by the industrial personal computer;
the determining module is used for determining the parameter value of each equipment operating parameter according to a plurality of equipment operating parameters;
the control module is used for controlling the industrial personal computer to inquire the last updating time information of each parameter value according to the parameter value of each equipment operation parameter;
the cache module is used for controlling the industrial personal computer to carry out multiple acquisition by adopting a preset time interval according to the last updated time information;
the determining module comprises:
the first determining unit is used for acquiring the acquisition time range of each equipment operation parameter according to the plurality of equipment operation parameters, and determining a plurality of parameter values corresponding to each equipment operation parameter according to the acquisition time range of each equipment operation parameter;
the calculation unit is used for calculating the times of occurrence of a plurality of parameter values in the acquisition time range;
the second determining unit is used for performing weight calculation according to the times to obtain a final parameter value of the corresponding equipment;
the performing weight calculation according to the times to obtain a final parameter value of the corresponding device includes:
and obtaining the final parameter value of the corresponding equipment by the following calculation formula:
Figure FDA0003808864450000031
wherein l i Is a preset weight coefficient, k is the number of times, N is the final parameter value, S k The parameter value for each time node.
6. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the intelligent worksite data collection method of any one of claims 1 to 4.
7. A computer storage medium on which a computer program is stored, which program, when executed by a processor, implements an intelligent worksite data acquisition method according to any one of claims 1 to 4.
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