CN110987693A - Method, device and system for detecting concrete strength data based on rebound method - Google Patents
Method, device and system for detecting concrete strength data based on rebound method Download PDFInfo
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Abstract
The invention discloses a method, a device and a system for detecting concrete strength data based on a rebound method, and relates to the technical field of concrete compressive strength detection, wherein the method comprises the following steps: estimating the current concrete strength data range based on the concrete formula, the processing technology and the historical strength data; collecting a plurality of groups of resilience values and calculating according to a set algorithm to generate intensity detection data; if the intensity detection data falls into the intensity data range, storing the intensity detection data; if the intensity detection data do not fall into the intensity data range, the intensity detection data are stored and early warning and/or improvement schemes are output, the rebound value is collected by the digital resiliometer, then the rebound value is analyzed and processed by the cloud server, the processing efficiency is high, and the data accuracy and reliability are high. If the intensity detection data is greatly deviated from the expected intensity detection data, relevant improvement scheme information can be timely output from the cloud server, the accuracy of the intensity detection data is finally confirmed, and errors are reduced.
Description
Technical Field
The invention relates to the technical field of concrete compressive strength detection, in particular to a method, a device and a system for detecting concrete strength data based on a rebound method.
Background
The resiliometer method is a method of indirectly checking or estimating the strength of concrete by a method of detecting the surface hardness of concrete using the correlation existing between the strength and the surface hardness of concrete. The rebound method is that a heavy hammer driven by a tension spring in a resiliometer passes through the surface of concrete with certain elastic potential energy to deform local concrete and absorb part of the elastic potential energy, the rest elastic potential energy causes the heavy hammer to rebound in a kinetic energy mode and drives a pointer sliding block to obtain a rebound value of the rebound height of the heavy hammer, the rebound value is related to the elasticity and plasticity of the surface of the concrete, a correlation exists between the rebound value and the surface hardness, and the large rebound value indicates that the surface hardness is large and the compressive strength is higher, and vice versa, the lower the rebound value is.
In the prior art, the resiliometer comprises a mechanical resiliometer and a digital resiliometer, and the resiliometer and the digital resiliometer have the advantages of convenience in detection and simplicity in response. For example, chinese patent with patent publication No. CN107238540A proposes a digital concrete rebound tester, which not only improves the accuracy of detecting the rebound value but also can feedback and display the rebound value in the form of digital signal by the cooperation of mechanical components and electronic components.
In the prior art, the concrete strength is indirectly estimated no matter the resiliometer is mechanical or digital. In practical applications, the corresponding relationship between the concrete compressive strength and the rebound value is generally provided and used in the form of a table, and an operator confirms the concrete compressive strength according to the record of the table and the rebound value. The rebound value varies depending on the test direction, test location, cement type, curing conditions, age, carbonization depth, and the like, and thus the measured rebound value needs to be corrected before the normal use. Obviously, the work is completed only by field operators, the efficiency is low, and the obtained concrete strength data is easy to make mistakes.
Disclosure of Invention
Aiming at the problems of low efficiency and inaccurate detection data in the actual application of detecting the concrete strength data by using a rebound method, the invention aims to provide a method for detecting the concrete strength data based on the rebound method, which utilizes a big data principle, continuously and accurately optimizes an acquisition flow and lists various factors influencing a detection result into a calculation process of the strength data, so that the detection efficiency can be improved, and the accuracy of the strength data can also be improved. In order to better realize the method, the invention also provides a device for detecting the concrete strength data based on the rebound method, which can calculate or directly transmit the detected rebound value data back to a central processing unit, thereby ensuring the effective and rapid transmission of the data. Based on the method and the device, the invention also aims to protect a system for detecting concrete strength data based on a rebound method, and the concrete scheme is as follows:
a method for detecting concrete strength data based on a rebound method comprises the following steps:
estimating and storing the current concrete strength data range based on the concrete formula, the processing technology and the historical strength data;
collecting and storing rebound values fed back by a plurality of groups of rebound instruments;
calculating and generating intensity detection data according to a set algorithm based on the plurality of groups of resilience values;
if the intensity detection data falls into the intensity data range, storing the intensity detection data;
and if the intensity detection data does not fall into the intensity data range, storing the intensity detection data and outputting an early warning and/or improvement scheme.
According to the technical scheme, the strength detection data are calculated based on the set algorithm, the efficiency of concrete strength detection can be effectively improved, meanwhile, the strength data range where the concrete strength is normal is estimated in advance based on parameters such as concrete formula, and if the current strength detection data exceed the range, an alarm and/or a corresponding improvement scheme is output, so that the error rate of the strength detection data can be greatly reduced, and the reliability of the detection data is improved.
Further, if the intensity detection data does not fall within the intensity data range, storing the intensity detection data and outputting an early warning and/or improvement scheme, including:
collecting and recording influence factors influencing concrete strength data;
establishing an incidence relation table between the influence factors and deviation values of the intensity detection data from the intensity data range;
storing improvement scheme information corresponding to the respective influence factors;
calculating and obtaining the influence factor based on the deviation value of the current intensity detection data and the intensity data range and the incidence relation table;
and searching and outputting improvement scheme information according to the influence factors.
Through the technical scheme, an operator can quickly find the influence factors influencing the concrete strength, and the later-stage quick finding of the improvement scheme information is facilitated.
Further, the influence factors include: rebound test direction, rebound test position, cement components, maintenance environmental conditions, age and carbonization depth.
Further, the collecting and storing the rebound values fed back by the plurality of sets of rebound instruments comprises:
establishing data communication connection between the resiliometer and a cloud server or a central processing unit;
and collecting and storing the rebound value output by the resiliometer by using a cloud server or a central processing unit.
Through above-mentioned technical scheme, simplified the setting of resiliometer greatly, integrated in high in the clouds server or central processing unit with functions such as data processing, storage, be favorable to utilizing big data and/or more intelligent algorithm to handle the resilience value that the resiliometer gathered, the intensity detection data that obtains is more accurate, also is favorable to the saving and the share of data.
Further, the calculating and generating the intensity detection data according to a set algorithm based on the plurality of sets of rebound values includes:
setting a data processing unit in a resiliometer, and calculating and generating the intensity detection data based on a plurality of groups of the rebound values; or
The method comprises the steps of collecting a plurality of groups of resilience values output by a resilience meter, and calculating and generating intensity detection data based on a data processing unit arranged in a cloud server or a central processing unit.
An apparatus for detecting concrete strength data based on a rebound method, comprising:
the digital resiliometer is configured to output a rebound value according to the strength of the concrete to be detected;
the storage unit is configured to store the current concrete formula, the processing technology and historical strength data information, calculate algorithm information of current concrete strength detection data according to the rebound value, improve scheme information and generated current concrete strength detection data;
the first data processing unit is in data connection with the storage unit, and generates and outputs an intensity data range of the estimated current concrete intensity based on the current concrete formula, the processing technology and the historical intensity data information;
the second data processing unit is configured to be in data connection with the digital resiliometer and the storage unit, and calculates and generates concrete strength detection data based on a rebound value and set algorithm information;
the third data processing unit is in data connection with the first data processing unit and the second data processing unit, receives the intensity data range and the intensity detection data, and calculates and outputs deviation values of the intensity data range and the intensity detection data;
and the early warning unit outputs early warning information and/or improvement scheme information according to the deviation value.
Through above-mentioned technical scheme, the rebound value calculation according to resiliometer feedback that can be quick obtains concrete strength detection data, promotes the efficiency that detects, simultaneously, can in time judge whether intensity detection data is reliable, output alarm information is favorable to promoting intensity detection data's reliability.
Furthermore, an influence factor acquisition unit for acquiring and inputting reasons influencing concrete strength detection data is also configured in the digital resiliometer;
the influence factor acquisition unit is in data connection with the storage unit;
the storage unit is also used for storing an incidence relation table between the influence factors and deviation values of the intensity detection data from the intensity data range;
the apparatus also includes an impact factor validation module;
a detection scheme perfecting module is configured in the early warning unit;
the influence factor confirming module is in data connection with the third data processing unit and the storage unit, receives the deviation value and the association relation table, and searches to obtain the influence factor;
and the detection scheme perfecting module receives the influence factors output by the influence factor confirming module and searches and outputs improvement scheme information.
Through the technical scheme, the influence factors influencing the concrete strength can be quickly found and the scheme information can be timely given to the improvement.
Furthermore, the influence factor acquisition unit comprises a function module for acquiring resilience test direction, resilience test position, cement components, maintenance environment conditions, age and carbonization depth information.
Furthermore, the storage unit, the first data processing unit, the second data processing unit, the third data processing unit and the early warning unit are all independently arranged in the data processing equipment with the communication function;
the digital resiliometer is provided with:
the communication unit is configured to be in communication connection with a data output end of the digital resiliometer and the data processing equipment;
and the message prompting unit is configured to be in data connection with the early warning unit, and receive and display the early warning information and/or the improvement scheme information.
Through the technical scheme, the resiliometer is responsible for collecting the rebound value and can receive the early warning information or the improvement scheme information pushed by the early warning unit, so that the detection method is timely improved on site, and the reliability of the concrete strength detection data is improved.
A system for detecting concrete strength data based on a rebound method comprises:
the device for detecting the concrete strength data based on the rebound method as described above; and
the cloud server is configured with the data processing equipment;
the cloud server is in communication connection with the digital resiliometer through a communication unit.
Compared with the prior art, the invention has the following beneficial effects:
the rebound value is acquired by the digital resiliometer, and then the cloud server is used for analyzing and processing the rebound value, and finally, the analysis and processing result is stored, so that the processing efficiency is high, and the data accuracy and reliability are high. If the intensity detection data is greatly deviated from the expected intensity detection data, relevant improvement scheme information can be timely output from the cloud server, the accuracy of the intensity detection data is finally confirmed, and errors are reduced.
Drawings
FIG. 1 is a schematic overall flow chart of a method for detecting concrete strength data based on a rebound method;
FIG. 2 is a schematic flow chart of an improvement scheme based on intensity detection data feedback in the present invention;
fig. 3 is a schematic structural framework diagram of a device for detecting concrete strength data based on a rebound method.
Reference numerals: 1. a digital resiliometer; 2. a storage unit; 3. a first data processing unit; 4. a second data processing unit; 5. a third data processing unit; 6. and an early warning unit.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited to these examples.
A method for detecting concrete strength data based on a rebound method is shown in figure 1 and mainly comprises the following steps.
S1, estimating and storing a current concrete strength data range based on the concrete formula, the processing technology and the historical strength data;
s2, collecting and storing rebound values fed back by a plurality of groups of rebound instruments;
s3, calculating and generating intensity detection data according to a set algorithm based on the plurality of groups of resilience values;
s4, calculating whether the intensity detection data falls within the intensity data range:
s41, if the intensity detection data falls into the intensity data range, storing the intensity detection data;
and S42, if the intensity detection data does not fall into the intensity data range, storing the intensity detection data and outputting an early warning and/or improvement scheme.
Before proceeding further with the description of the above steps, one skilled in the relevant art will recognize that: the above steps may be selectively performed; the above steps are not limited to the specific order specified herein; the steps described above may be performed in a different order; the above steps may be performed simultaneously.
In step S1, the concrete formula and the processing technique can be searched from the concrete incoming record, then the compression strength value after the concrete is formed can be estimated more accurately according to the concrete forming strength theory, and then the strength data range can be obtained by combining the historical strength data, that is, the concrete strength data made by using the same concrete formula and processing technique each time.
In the above steps S2-S3, a plurality of sets of rebound values fed back by the rebound apparatus are collected and stored. The use method and the process of the digital resiliometer 1 or the mechanical resiliometer have been disclosed in many prior arts, for example, the references of "standard-rebound method for detecting compressive strength of high-strength concrete in engineering construction local in Sichuan province" and the like, which have been disclosed in many prior arts, and are not described herein again.
It should be noted that, in the present invention, the above step S2 specifically includes:
s21, establishing data communication connection between the resiliometer and a cloud server or a central processing unit;
and S22, collecting and storing the rebound value output by the rebound tester by using a cloud server or a central processing unit.
It should be understood that the rebound device described above is a digital rebound device 1 which can convert the detected rebound value into a digital quantity and perform communication transmission. Above-mentioned setting scheme has simplified the setting of resiliometer greatly, and with functions integration such as data processing, storage in high in the clouds server or central processing unit, be favorable to utilizing big data and/or more intelligent algorithm to carry out rapid processing to the resilience value that the resiliometer gathered, avoid artifical scene to check production error, the intensity detection data that obtains is more accurate, also is favorable to the saving and the share of data.
In the concrete forming process and the concrete strength detection process, many influence factors influencing the detection result exist, and in order to correct errors caused by the influence factors in time, the corresponding relation between each influence factor and the final result of the concrete strength detection data needs to be found and quantified. In step S42 of the method of the present invention, as shown in fig. 2, the method includes:
s421, collecting and recording influence factors influencing the concrete strength data;
s422, establishing an incidence relation table between the influence factors and deviation values of the intensity detection data from the intensity data range;
s423, storing improvement scheme information corresponding to each influence factor;
s424, calculating and obtaining the influence factor based on the deviation value of the current intensity detection data and the intensity data range and the incidence relation table;
and S425, searching and outputting improvement scheme information according to the influence factors.
In further detail, the influencing factors include: rebound test direction, rebound test position, cement components, maintenance environmental conditions, age and carbonization depth.
In summary, for example, when the intensity detection data greatly deviates from the estimated intensity data range, it is estimated from the magnitude of the deviation what influence factor caused the deviation. If the influence factor is determined to be the problem of the rebound test direction, corresponding correct rebound test direction information, namely improvement scheme information, can be output. Therefore, field operators can standardize the operation mode, and finally measured intensity detection data is more real and reliable. If the influence factor is determined to be the deviation between the cement components and the standard value, the improvement scheme information can be pushed to the concrete production link, and finally the quality of the concrete of the next batch can be effectively improved. The application and perfection of the remaining influencing factors are not described in detail herein.
In order to adapt the method of the present invention to different working condition environments, in step S3, the calculating and generating intensity detection data according to a set algorithm based on a plurality of sets of the rebound values includes:
s31, arranging a data processing unit in the resiliometer, and calculating and generating the strength detection data based on the plurality of groups of rebound values; or
S32 collects a plurality of groups of rebound values output by the resiliometer, and calculates and generates the intensity detection data based on a data processing unit arranged in a cloud server or a central processing unit.
It should be noted that, in step S31, in order to facilitate the on-site operator to refer to the obtained intensity detection data, similar to the prior art, a human-computer interface, such as a liquid crystal display, a data interaction interface, and a data communication module (WIFI/4G/GPRS communication module), may be provided on the resiliometer.
According to the method for detecting the concrete strength data based on the rebound method, the strength detection data is obtained through calculation based on a set algorithm, the efficiency of concrete strength detection can be effectively improved, meanwhile, the strength data range where the concrete strength is normal is estimated in advance based on parameters such as a concrete formula, and if the current strength detection data exceeds the range, an alarm and/or a corresponding improvement scheme is output, so that the error rate of the strength detection data can be greatly reduced, and the reliability of the detection data is improved.
Based on the method for detecting the concrete strength data based on the rebound method, the invention also provides a device for detecting the concrete strength data based on the rebound method, as shown in fig. 3, the device mainly comprises: digital rebound-meter 1, storage unit 2, first data processing unit 3, second data processing unit 4, third data processing unit 5 and early warning unit 6.
The digital rebound tester 1 is configured to output a rebound value set as a digital signal according to the strength of the concrete to be tested.
The storage unit 2 is configured to store the current concrete formula, the processing technology, and historical strength data information, and to calculate algorithm information, improvement scheme information, and generated current concrete strength detection data of the current concrete strength detection data according to the rebound value. In practical applications, the storage unit 2 may be configured as a storage chip module, such as a RAM chip module, for data connection with the digital rebound apparatus 1.
The first data processing unit 3 is configured to be in data connection with the storage unit 2, and generates and outputs an intensity data range of the estimated current concrete intensity based on the current concrete formula, the processing technology and the historical intensity data information. The second data processing unit 4 is configured to be in data connection with the digital resiliometer 1 and the storage unit 2, and calculate and generate concrete strength detection data based on the rebound value and the set algorithm information. The third data processing unit 5 is configured to be in data connection with the first data processing unit 3 and the second data processing unit 4, receive the intensity data range and the intensity detection data, calculate and output a deviation value of the two. The first data processing unit 3, the second data processing unit 4 and the third data processing unit 5 can be realized by a special digital signal processing chip or an FPGA/singlechip module.
The early warning unit 6 is configured to output early warning information and/or improvement scheme information according to the deviation value. In particular embodiments, whether the deviation value falls within the set range or not may be implemented by a sorting algorithm in a computer program language, and specific methods are not described herein again. And when the deviation value exceeds a certain range, outputting a corresponding signal to trigger the early warning unit 6 to output alarm information. In the invention, the logic end of the early warning unit 6 is integrated in the FPGA/singlechip module, the logic unit of the FPGA/singlechip module is used for realizing operation and judgment, and the external expression end is configured to be a sound-light generator (LED lamp/buzzer) or an information sending module.
The early warning information includes, but is not limited to, a specific pulse signal, a short message, acousto-optic information, and the like.
According to the technical scheme, the concrete strength detection data can be obtained through calculation according to the rebound value fed back by the resiliometer, the detection efficiency is improved, and meanwhile, whether the strength detection data are reliable or not can be judged in time, and the reliability of the strength detection data is favorably improved by outputting alarm information.
Further, the digital resiliometer 1 is also provided with an influence factor acquisition unit for acquiring and recording reasons influencing concrete strength detection data.
The influence factor acquisition unit is in data connection with the storage unit 2, and an incidence relation table between the influence factors and deviation values of the intensity detection data deviating from the intensity data range is also stored in the storage unit 2. The apparatus also includes an impact factor validation module. And a detection scheme perfecting module is configured in the early warning unit 6.
The influence factor confirming module is in data connection with the third data processing unit 5 and the storage unit 2, receives the deviation value and the association relation table, and finds out the influence factor. And the detection scheme perfecting module receives the influence factors output by the influence factor confirming module and searches and outputs improvement scheme information. Based on the technical scheme, the influence factors influencing the concrete strength can be quickly found and the scheme information can be timely given to the improvement.
In the invention, the influence factor acquisition unit comprises functional modules, such as a resiliometer angle measurement device, field environment temperature, humidity and the like, for acquiring the rebound test direction, the rebound test position, the cement components, the maintenance environment condition, the age and the carbonization depth information.
In order to simplify the configuration of digital rebound device 1, it is preferable that the storage unit 2, the first data processing unit 3, the second data processing unit 4, the third data processing unit 5 and the early warning unit 6 are independently disposed in a data processing device having a communication function.
The digital rebound device 1 is provided with a communication unit and a message prompting unit.
The communication unit is configured to be in communication connection with the data output of the digital rebound-meter 1 and with said data processing device. The message prompting unit is configured to be in data connection with the early warning unit 6, and receive and display the early warning information and/or the improvement scheme information.
In the technical scheme, the resiliometer is responsible for collecting the rebound value and can receive the early warning information or the improvement scheme information pushed by the early warning unit 6, so that the detection method is timely improved on site, and the reliability of the concrete strength detection data is improved.
Based on the device for detecting the concrete strength data, the invention also provides a system for detecting the concrete strength data based on a rebound method, which comprises the following steps:
the device for detecting the concrete strength data based on the rebound method as described above; and a cloud server or other devices having functions such as a central processing unit, wherein the cloud server is configured with the data processing device. The cloud server is in communication connection with the digital resiliometer 1 through a communication unit. The communication unit comprises but is not limited to a WIFI/4G/GPRS communication module.
The system for detecting the concrete strength data based on the rebound method utilizes the digital rebound tester 1 to collect the rebound value, then utilizes the cloud server to analyze and process the rebound value, and finally stores the analysis and processing result, so that the processing efficiency is high, and the data accuracy and reliability are high. If the intensity detection data is greatly deviated from the expected intensity detection data, relevant improvement scheme information can be timely output from the cloud server, and finally the accuracy of the intensity detection data is confirmed.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.
Claims (10)
1. A method for detecting concrete strength data based on a rebound method is characterized by comprising the following steps:
estimating and storing the current concrete strength data range based on the concrete formula, the processing technology and the historical strength data;
collecting and storing rebound values fed back by a plurality of groups of rebound instruments;
calculating and generating intensity detection data according to a set algorithm based on the plurality of groups of resilience values;
if the intensity detection data falls into the intensity data range, storing the intensity detection data;
and if the intensity detection data does not fall into the intensity data range, storing the intensity detection data and outputting an early warning and/or improvement scheme.
2. The method of claim 1, wherein storing the intensity detection data and outputting an early warning and/or improvement scheme if the intensity detection data does not fall within the intensity data range comprises:
collecting and recording influence factors influencing concrete strength data;
establishing an incidence relation table between the influence factors and deviation values of the intensity detection data from the intensity data range;
storing improvement scheme information corresponding to the respective influence factors;
calculating and obtaining the influence factor based on the deviation value of the current intensity detection data and the intensity data range and the incidence relation table;
and searching and outputting improvement scheme information according to the influence factors.
3. The method of claim 2, wherein the impact factors comprise: rebound test direction, rebound test position, cement components, maintenance environmental conditions, age and carbonization depth.
4. The method of claim 1, wherein the collecting and storing a plurality of sets of rebound values fed back by a rebound apparatus comprises:
establishing data communication connection between the resiliometer and a cloud server or a central processing unit;
and collecting and storing the rebound value output by the resiliometer by using a cloud server or a central processing unit.
5. The method of claim 4, wherein the computing of the generated intensity detection data according to a set algorithm based on the plurality of sets of rebound values comprises:
setting a data processing unit in a resiliometer, and calculating and generating the intensity detection data based on a plurality of groups of the rebound values; or
The method comprises the steps of collecting a plurality of groups of resilience values output by a resilience meter, and calculating and generating intensity detection data based on a data processing unit arranged in a cloud server or a central processing unit.
6. A device based on resilience method detects concrete strength data which characterized in that includes:
the digital resiliometer (1) is configured to output a rebound value according to the strength of the concrete to be detected;
the storage unit (2) is configured to store the current concrete formula, the processing technology and historical strength data information, calculate algorithm information of current concrete strength detection data according to the rebound value, improve scheme information and generated current concrete strength detection data;
the first data processing unit (3) is configured to be in data connection with the storage unit (2), and generates and outputs an intensity data range of the estimated current concrete intensity based on the current concrete formula, the processing technology and historical intensity data information;
the second data processing unit (4) is configured to be in data connection with the digital resiliometer (1) and the storage unit (2), and calculates and generates concrete strength detection data based on a rebound value and set algorithm information;
a third data processing unit (5) which is configured to be in data connection with the first data processing unit (3) and the second data processing unit (4), receive the intensity data range and the intensity detection data, calculate and output a deviation value of the intensity data range and the intensity detection data;
and the early warning unit (6) outputs early warning information and/or improvement scheme information according to the deviation value.
7. The device according to claim 6, characterized in that the digital resiliometer (1) is further provided with an influence factor acquisition unit for acquiring and recording reasons influencing concrete strength detection data;
the influence factor acquisition unit is in data connection with the storage unit (2);
the storage unit (2) is also used for storing an incidence relation table between influence factors and deviation values of the intensity detection data from the intensity data range;
the apparatus also includes an impact factor validation module;
a detection scheme perfecting module is configured in the early warning unit (6);
the influence factor confirming module is in data connection with the third data processing unit (5) and the storage unit (2), receives the deviation value and the association relation table, and searches for the influence factor;
and the detection scheme perfecting module receives the influence factors output by the influence factor confirming module and searches and outputs improvement scheme information.
8. The apparatus according to claim 7, wherein the influence factor collecting unit comprises a function module for collecting information on rebound test direction, rebound test position, cement composition, curing environment condition, age, and carbonation depth.
9. The device according to claim 7, characterized in that the storage unit (2), the first data processing unit (3), the second data processing unit (4), the third data processing unit (5) and the early warning unit (6) are all independently arranged in a data processing device with a communication function;
the digital resiliometer (1) is provided with:
the communication unit is configured to be in communication connection with a data output end of the digital rebound tester (1) and the data processing equipment;
and the message prompting unit is configured to be in data connection with the early warning unit (6) and receive and display the early warning information and/or the improvement scheme information.
10. A system for detecting concrete strength data based on a rebound method is characterized by comprising the following steps:
the apparatus for detecting concrete strength data based on springback method as claimed in any one of claims 7 to 9;
a cloud server configured with the data processing device of claim 9;
the cloud server is in communication connection with the digital resiliometer (1) through a communication unit.
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