CN117268455B - Monitoring system of engineering construction quality detection equipment - Google Patents
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- CN117268455B CN117268455B CN202311560052.XA CN202311560052A CN117268455B CN 117268455 B CN117268455 B CN 117268455B CN 202311560052 A CN202311560052 A CN 202311560052A CN 117268455 B CN117268455 B CN 117268455B
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Abstract
The invention relates to the technical field of construction detection, in particular to a monitoring system of engineering building construction quality detection equipment, which comprises a supervision platform, a data acquisition unit, a self-checking feedback unit, an operation interference unit, an influence analysis unit, a fusion evaluation unit and an operation and maintenance management unit, wherein the supervision platform is used for acquiring data of the engineering building construction quality detection equipment; according to the invention, the operation safety and the detection precision of the detection equipment are ensured by analyzing the two angles of the self interference and the external interference of the equipment, the influence degree of the self interference and the external interference of the equipment on the detection result is reduced, the detection accuracy of the detection equipment is improved, the influence condition of influence data on the detection equipment is combined for analyzing, the accuracy of the analysis result is improved, and the whole detection influence of the detection equipment is analyzed in an information feedback mode on the premise that the data acquisition is effective, so that the detection equipment is managed and regulated in time, and the detection precision and the detection effect of the detection equipment are ensured.
Description
Technical Field
The invention relates to the technical field of construction detection, in particular to a monitoring system of engineering building construction quality detection equipment.
Background
In the construction of cast-in-place concrete structures in the industries of house construction and roads and bridges, a traditional template system, a novel aluminum alloy template system and a combined steel template system are common, and along with the call of the development of new times of China, in order to respond to the spirit of craftsmen advocated by China, the industry has obligations to make products optimal, the perpendicularity of a vertical bearing member in the cast-in-place concrete structure is directly related to the safety of the building, and further the life and property safety of people is related;
the verticality of the wall body is required to be detected in the construction process of the building wall body, the influence of the construction inclination of the wall body on the subsequent use function is prevented, but when the detection is carried out by the existing equipment, whether the influence of factors such as the equipment self and the equipment external interference on the detection equipment exists or not cannot be known, the subsequent detection efficiency and the accuracy are influenced, the equipment information cannot be reasonably managed and controlled according to different feedback information, the accuracy of the detection result of the equipment is further reduced, and the detection precision and the detection effect of the detection equipment cannot be guaranteed;
in view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide a monitoring system of engineering construction quality detection equipment, which solves the technical defects, and analyzes the whole detection influence of the detection equipment in an information feedback mode on the premise of effective data acquisition so as to manage and adjust the detection equipment in time and ensure the detection precision and the detection effect of the detection equipment.
The aim of the invention can be achieved by the following technical scheme: a monitoring system of engineering building construction quality detection equipment comprises a supervision platform, a data acquisition unit, a self-checking feedback unit, an operation interference unit, an influence analysis unit, a fusion evaluation unit and an operation and maintenance management unit.
When the supervision platform generates a management command, the management command is sent to the data acquisition unit and the self-checking feedback unit, the data acquisition unit immediately acquires risk data and influence data of the detection equipment after receiving the management command, the risk data comprises an operation characteristic value and a detection risk value, the influence data comprises an environment influence value and an operation influence value, the risk data and the influence data are sent to the operation interference unit and the influence analysis unit, the operation interference unit immediately carries out operation supervision evaluation operation, progressive comparison analysis and interactive supervision operation on the risk data after receiving the risk data, and the obtained management signal and the obtained early warning signal are sent to the operation maintenance management unit.
And after receiving the influence data, the influence analysis unit immediately performs influence feedback supervision analysis and influence supervision formula analysis on the influence data, and sends the obtained external interference evaluation coefficient R to the fusion evaluation unit.
The self-checking feedback unit immediately acquires working data of the data acquisition sensor after receiving the management command, wherein the working data comprises a transmission risk value and an acquisition effective value, performs data effective evaluation and supervision operation and data effective feedback operation on the working data, sends an obtained effective signal to the fusion evaluation unit, and sends an obtained failure signal to the operation and maintenance management unit.
And the fusion evaluation unit immediately performs deep combination influence evaluation analysis and total operation on the external interference evaluation coefficient R after receiving the external interference evaluation coefficient R and the effective signal, and sends the obtained risk signal to the operation and maintenance management unit.
The data effective evaluation and supervision operation process of the self-checking feedback unit is as follows:
acquiring transmission risk values of all acquisition sensors in detection equipment in sub-time periods, wherein the transmission risk values represent the numbers corresponding to the line parameter data exceeding a preset threshold value, the line parameter data comprise the cracking length and the bulge number of the transmission line, the transmission risk values are compared with a stored preset transmission risk value threshold value for analysis, and if the transmission risk values are larger than the preset transmission risk value threshold value, the ratio of the number of the sub-time periods corresponding to the transmission risk value threshold value to the total number of the sub-time periods is marked as a data risk value;
acquiring acquisition effective values of all acquisition sensors in the detection equipment in a sub-time period, wherein the acquisition effective values represent product values obtained by performing data normalization processing on running temperature risk values exceeding a preset running temperature risk value threshold and a running voltage average value, the running temperature risk values represent acute angles formed by first intersection of a movement temperature characteristic curve and the preset movement temperature characteristic curve, a collection B of the acquisition effective values is constructed, the average value of the collection B is acquired, and the collection B is marked as the effective risk average value.
Further, the operation supervision and evaluation operation process of the operation interference unit is as follows:
the method comprises the steps of acquiring the duration of running of detection equipment for a period of time, marking the duration as a time threshold, dividing the time threshold into i subtime periods, wherein i is a natural number larger than zero, acquiring running characteristic values of the detection equipment in each subtime period, wherein the running characteristic values represent the number of values corresponding to characteristic parameter information larger than a preset threshold, the characteristic parameter information comprises abnormal sound risk values, running temperature influence values and vibration amplitude average values, the abnormal sound risk values represent the length of line segments corresponding to line segments of the abnormal sound characteristic curves above the preset abnormal sound characteristic curves, the running temperature influence values represent the acute angle degree formed by the first intersection of the running temperature value curves and the preset running temperature value threshold curves, further acquiring a difference value between two connected running characteristic values, marking the average value of the difference value between the two connected running characteristic values as a characteristic interference value, and comparing the characteristic interference value with the preset characteristic interference value threshold values recorded and stored in the abnormal sound risk values:
if the characteristic interference value is smaller than a preset characteristic interference value threshold value, generating a normal signal;
if the characteristic interference value is greater than or equal to a preset characteristic interference value threshold, generating an abnormal signal.
Further, the progressive comparison and analysis process of the operation interference unit is as follows:
acquiring detection risk values of detection equipment in each sub-time period, wherein the detection risk values represent parts of the running voltage average value of the detection equipment and the running power average value of the electronic element, which exceed a preset running power average value threshold, comparing the detection risk values with a stored preset detection risk value threshold, if the detection risk values are larger than the preset detection risk value threshold, marking the parts of the detection risk values larger than the preset detection risk value threshold as detection influence values, constructing a set A of detection influence values, acquiring a maximum subset and a minimum subset in the set A, marking the difference value between the maximum subset and the minimum subset in the set A as an accuracy evaluation value, and comparing the accuracy evaluation value with a preset accuracy evaluation value threshold which is input into the accuracy evaluation value and is stored in the accuracy evaluation value.
If the comparison between the precision evaluation value and the preset precision evaluation value threshold is smaller than 1, generating a qualified signal;
if the ratio between the precision evaluation value and the preset precision evaluation value threshold is greater than or equal to 1, generating a disqualification signal.
Further, the interactive supervision operation process of the running interference unit is as follows:
if the normal signal and the qualified signal are generated, a pipe transporting signal is obtained;
if the normal signal and the unqualified signal are generated, or the abnormal signal and the qualified signal are generated, or the abnormal signal and the unqualified signal are generated, the early warning signal is obtained.
Further, the impact feedback supervision analysis process of the impact analysis unit is as follows:
the method comprises the steps that an environmental impact value of detection equipment in a sub-time period is obtained, the environmental impact value represents the sum of the number corresponding to an internal environmental parameter in the detection equipment and the number corresponding to an external environmental parameter outside the detection equipment, wherein the number corresponding to the internal environmental parameter is larger than a preset threshold value, the number corresponding to the external environmental parameter is larger than the preset threshold value, the internal environmental parameter comprises an internal environmental temperature mean value and a ventilation flow mean value in unit time, the external environmental parameter comprises an external dust concentration mean value and an external electromagnetic interference mean value, the environmental impact value is compared with a preset environmental impact value threshold value, and if the environmental impact value is larger than the preset environmental impact value threshold value, the number of the sub-time period corresponding to the environmental impact value larger than the preset environmental impact value threshold value is an environmental risk value HF.
Further, the impact supervision formula analysis process of the impact analysis unit is as follows:
the method comprises the steps of obtaining an operation influence value of detection equipment in a sub-time period, wherein the operation influence value represents a ratio between a part, between a placement attaching surface and a placement surface, of the detection equipment, of an inclination angle exceeding a preset inclination angle threshold value and the inclination angle, comparing the operation influence value with a stored preset operation influence value threshold value, and judging that if the operation influence value is larger than the preset operation influence value threshold value, the part, larger than the preset operation influence value threshold value, of the detection equipment is marked as a placement risk value BF.
According to the formulaObtaining an external interference evaluation coefficient, wherein a1 and a2 are respectively an environment risk value and a preset scale factor coefficient for placing the risk value, a1 and a2 are positive numbers larger than zero, a3 is a preset fault tolerance factor coefficient, the value is 1.152, and R is the external interference evaluation coefficient.
Further, the data effective feedback operation process of the self-checking feedback unit is as follows:
comparing the data risk value and the effective risk mean value with a preset data risk value threshold value and a preset effective risk mean value threshold value which are recorded and stored in the data risk value and the effective risk mean value, and analyzing the data risk value and the effective risk mean value:
if the ratio between the data risk value and the preset data risk value threshold is smaller than 1, and the ratio between the effective risk average value and the preset effective risk average value threshold is smaller than 1, generating an effective signal;
and if the ratio between the data risk value and the preset data risk value threshold is greater than or equal to 1, or the ratio between the effective risk average value and the preset effective risk average value threshold is greater than or equal to 1, generating a failure signal.
Further, the in-depth binding influence assessment analysis process of the fusion assessment unit is as follows:
the characteristic interference value and the accuracy evaluation value are retrieved from the operation interference unit, and are respectively labeled TG and JP.
Meanwhile, a management evaluation value of the detection equipment in the time threshold is obtained, the management evaluation value represents the number of the numerical values corresponding to the management parameter information exceeding the preset threshold, the management parameter information comprises a maintenance interval time length average value and a maintenance risk value, the maintenance risk value represents the number of times that the number corresponding to a maintenance item is smaller than the preset number, the maintenance item comprises cleaning and electronic detection, the management evaluation value is compared with the preset management evaluation value threshold for analysis, and if the management evaluation value is larger than the preset management evaluation value threshold, the part, larger than the preset management evaluation value threshold, of the management evaluation value is marked as a management influence value GY.
Further, the fusion evaluation unit performs the following operation process:
according to the formulaObtaining detection influence fusion coefficients, wherein f1, f2, f3 and f4 are respectively preset weight factor coefficients of an external interference evaluation coefficient, a characteristic interference value, an accuracy evaluation value and a management influence value, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset correction factor coefficient, the value is 2.119, G is the detection influence fusion coefficient, and the detection influence fusion coefficient G is compared with a preset detection influence fusion coefficient threshold value recorded and stored in the detection influence fusion coefficient G:
if the ratio between the detection influence fusion coefficient G and the preset detection influence fusion coefficient threshold is smaller than 1, no signal is generated;
and if the ratio between the detection influence fusion coefficient G and the preset detection influence fusion coefficient threshold is greater than or equal to 1, generating a risk signal.
The beneficial effects of the invention are as follows:
according to the invention, the operation safety and the detection precision of the detection equipment are ensured by analyzing the two angles of the self interference and the external interference of the equipment, the influence degree of the self interference and the external interference of the equipment on the detection result is reduced, the detection accuracy of the detection equipment is improved, the influence condition of influence data on the detection equipment is combined for analyzing, the accuracy of the analysis result is improved, and the whole detection influence of the detection equipment is analyzed in an information feedback mode on the premise that the data acquisition is effective, so that the detection equipment is managed and regulated in time, and the detection precision and the detection effect of the detection equipment are ensured.
According to the invention, the monitoring operation is effectively evaluated by data on the working data of the acquisition sensor so as to know whether the acquisition sensor is in normal operation or not, so that on one hand, the operation safety of the acquisition sensor is improved, on the other hand, the effectiveness of data acquisition is improved, and the operation stability and the early warning monitoring effect of the acquisition sensor are improved.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a block flow diagram of the system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1, the invention discloses a monitoring system of engineering construction quality detection equipment, which comprises a supervision platform, a data acquisition unit, a self-checking feedback unit, an operation interference unit, an influence analysis unit, a fusion evaluation unit and an operation and maintenance management unit, wherein the supervision platform is in unidirectional communication connection with the data acquisition unit and the self-checking feedback unit, the data acquisition unit is in unidirectional communication connection with the operation interference unit and the influence analysis unit, the operation interference unit and the influence analysis unit are in unidirectional communication connection with the fusion evaluation unit, the operation interference unit, the fusion evaluation unit and the self-checking feedback unit are in unidirectional communication connection with the operation and maintenance management unit, and the self-checking feedback unit is in unidirectional communication connection with the operation and maintenance management unit.
When the supervision platform generates a management instruction, and sends the management instruction to the data acquisition unit and the self-checking feedback unit, the data acquisition unit immediately acquires risk data and influence data of the detection equipment after receiving the management instruction, the risk data comprises an operation characteristic value and a detection risk value, the influence data comprises an environment influence value and an operation influence value, and the risk data and the influence data are sent to the operation interference unit and the influence analysis unit, and the operation interference unit immediately carries out operation supervision evaluation operation on the risk data after receiving the risk data so as to judge whether the detection equipment normally operates, thereby being beneficial to improving the operation safety of the detection equipment, reducing the influence of the detection equipment on the detection of the construction quality verticality so as to ensure the accuracy and the precision of the verticality detection, and the specific operation supervision evaluation operation process is as follows:
the method comprises the steps of collecting the duration of running of detection equipment for a period of time, marking the duration as a time threshold, dividing the time threshold into i subtime periods, wherein i is a natural number larger than zero, obtaining running characteristic values of the detection equipment in each subtime period, wherein the running characteristic values represent the number of the characteristic parameter information, the corresponding numerical value is larger than a preset threshold, the characteristic parameter information comprises abnormal sound risk values, running temperature influence values, vibration amplitude average values and the like, the abnormal sound risk values represent the length of a line segment corresponding to a line segment, above the preset abnormal sound characteristic curve, of the abnormal sound characteristic curve, the running temperature influence values represent the acute angle degree formed by the first intersection of the running temperature value curve and the preset running temperature value threshold curve, further obtaining a difference value between two connected running characteristic values, marking the average value of the difference value between the two connected running characteristic values as a characteristic interference value, and comparing the preset characteristic interference value threshold value stored in the abnormal sound risk of the detection equipment with the preset characteristic interference value is larger as required to be explained:
if the characteristic interference value is smaller than a preset characteristic interference value threshold value, generating a normal signal;
if the characteristic interference value is greater than or equal to a preset characteristic interference value threshold value, generating an abnormal signal;
obtaining detection risk values of detection equipment in each sub-time period, wherein the detection risk values represent parts of the running voltage average value of the detection equipment and the running power average value of the electronic element, which exceed a preset running power average value threshold, comparing the detection risk values with a stored preset detection risk value threshold, if the detection risk values are larger than the preset detection risk value threshold, marking the parts of the detection risk values larger than the preset detection risk value threshold as detection influence values, constructing a set A of detection influence values, obtaining a maximum subset and a minimum subset in the set A, marking the difference value between the maximum subset and the minimum subset in the set A as an accuracy evaluation value, and if the value of the accuracy evaluation value is larger, comparing the accuracy evaluation value with the preset accuracy evaluation value threshold which is recorded and stored in the detection equipment to analyze the abnormal risk of the detection equipment:
if the comparison between the precision evaluation value and the preset precision evaluation value threshold is smaller than 1, generating a qualified signal;
if the ratio between the precision evaluation value and the preset precision evaluation value threshold is greater than or equal to 1, generating a disqualification signal;
performing interactive evaluation analysis on the normal signal, the abnormal signal, the qualified signal and the unqualified signal:
if the normal signal and the qualified signal are generated, a pipe transporting signal is obtained and is sent to the operation and maintenance management unit, and after the pipe transporting signal is received, the operation and maintenance management unit immediately displays preset early warning characters corresponding to the pipe transporting signal so as to intuitively know the operation condition of the detection equipment;
if a normal signal and an unqualified signal are generated, or an abnormal signal and an qualified signal are generated, or an abnormal signal and an unqualified signal are generated, an early warning signal is obtained and sent to an operation and maintenance management unit, and after the early warning signal is received, the operation and maintenance management unit immediately displays preset early warning characters corresponding to the early warning signal, so that the detection equipment is maintained and managed in time, the operation safety and the detection precision of the detection equipment are ensured, the influence degree of the detection equipment on the detection result is reduced, and the detection precision of the detection equipment is improved;
the influence analysis unit immediately carries out influence feedback supervision analysis on the influence data after receiving the influence data so as to know the interference degree of the influence data on the detection process of the detection equipment, so that the influence condition of the influence data on the detection equipment is combined to carry out analysis, the accuracy of an analysis result is improved, the detection accuracy of the detection equipment is improved, and the specific influence feedback supervision analysis process is as follows:
acquiring an environmental impact value of the detection equipment in a sub-time period, wherein the environmental impact value represents the sum of the number corresponding to the internal environmental parameter in the detection equipment and the number corresponding to the external environmental parameter outside the detection equipment, wherein the number corresponding to the internal environmental parameter is larger than a preset threshold value, the internal environmental parameter comprises an internal environmental temperature mean value, a ventilation flow mean value in unit time and the like, the external environmental parameter comprises an external dust concentration mean value, an external electromagnetic interference mean value and the like, the environmental impact value is compared with a preset environmental impact value threshold value for analysis, if the environmental impact value is larger than the preset environmental impact value threshold value, the number of the sub-time period corresponding to the environmental impact value larger than the preset environmental impact value threshold value is an environmental risk value HF, and the larger the number of the environmental risk value HF is, the greater the abnormal risk of the detection equipment is required to be explained;
acquiring an operation influence value of the detection equipment in a sub-time period, wherein the operation influence value represents a ratio between a part of the inclination angle between the placement attaching surface of the detection equipment and the placement surface exceeding a preset inclination angle threshold value and the inclination angle, comparing the operation influence value with a stored preset operation influence value threshold value, and if the operation influence value is larger than the preset operation influence value threshold value, marking a part of the operation influence value larger than the preset operation influence value threshold value as a placement risk value BF, wherein the larger the numerical value of the placement risk value BF is, the larger the abnormal risk of the detection equipment is;
according to the formulaObtaining an external interference evaluation coefficient, wherein a1 and a2 are respectively an environment risk value and a preset scale factor coefficient for placing the risk value, the scale factor coefficient is used for correcting deviation of each parameter in the formula calculation process, so that the calculation result is more accurate, a1 and a2 are positive numbers larger than zero, a3 is a preset fault tolerance factor coefficient, the value is 1.152, R is the external interference evaluation coefficient, and the external interference evaluation coefficient R is sent to the fusion evaluation unit.
Example two
On the basis of the first embodiment, the invention also provides another implementation mode, the self-checking feedback unit immediately collects working data of the data acquisition sensor after receiving the management command, the working data comprises a transmission risk value and an acquisition effective value, and the working data is subjected to data effective evaluation and supervision operation so as to know whether the acquisition sensor normally operates, on one hand, the operation safety of the acquisition sensor is improved, on the other hand, the effectiveness of data acquisition is improved, the accuracy of an analysis result is improved, and the specific data effective evaluation and supervision operation process is as follows:
acquiring transmission risk values of all acquisition sensors in detection equipment in sub-time periods, wherein the transmission risk values represent the numbers corresponding to the line parameter data exceeding a preset threshold, the line parameter data comprise the transmission line cracking length, the bulge number and the like, the transmission risk values are compared with a stored preset transmission risk value threshold for analysis, if the transmission risk values are larger than the preset transmission risk value threshold, the ratio of the numbers corresponding to the transmission risk value threshold and the total number of the sub-time periods is marked as data risk values, and if the number of the data risk values is larger, the abnormal operation risk of the acquisition sensors is larger, and the data failure risk is larger;
acquiring an acquisition effective value of each acquisition sensor in the detection equipment in a sub-time period, wherein the acquisition effective value represents a product value obtained by carrying out data normalization processing on an operation temperature risk value exceeding a preset operation temperature risk value threshold and an operation voltage average value, the operation temperature risk value represents an acute angle formed by first intersection of a motion temperature characteristic curve and the preset motion temperature characteristic curve, a collection B of the acquisition effective values is constructed, the average value of the collection B is acquired, and is marked as an effective risk average value, and the larger the value of the effective risk average value is, the larger the abnormal operation risk of the acquisition sensor is;
comparing the data risk value and the effective risk mean value with a preset data risk value threshold value and a preset effective risk mean value threshold value which are recorded and stored in the data risk value and the effective risk mean value, and analyzing the data risk value and the effective risk mean value:
if the ratio between the data risk value and the preset data risk value threshold is smaller than 1 and the ratio between the effective risk average value and the preset effective risk average value threshold is smaller than 1, generating an effective signal, and sending the effective signal to a fusion evaluation unit;
if the ratio between the data risk value and the preset data risk value threshold is greater than or equal to 1, or the ratio between the effective risk average value and the preset effective risk average value threshold is greater than or equal to 1, generating a failure signal, sending the failure signal to the operation and maintenance management unit, and immediately displaying the number of the acquisition sensor corresponding to the failure signal after the operation and maintenance management unit receives the failure signal, so as to ensure the effectiveness of the data, and further help to improve the accuracy of the analysis result.
The fusion evaluation unit immediately carries out deep-type combined influence evaluation analysis on the external interference evaluation coefficient R after receiving the external interference evaluation coefficient R and the effective signal so as to judge whether the overall detection influence of the detection equipment is too high or not, so that the detection equipment is managed and adjusted in time to ensure the detection precision and the detection effect of the detection equipment, and the specific deep-type combined influence evaluation analysis process is as follows:
the characteristic interference value and the precision evaluation value are called from the operation interference unit, and the characteristic interference value and the precision evaluation value are respectively marked as TG and JP;
meanwhile, a management evaluation value of the detection equipment in the time threshold is obtained, the management evaluation value represents the number of the values corresponding to management parameter information exceeding a preset threshold, the management parameter information comprises a maintenance interval time length average value, a maintenance risk value and the like, the maintenance risk value represents the number of times that the number corresponding to a maintenance item is smaller than the preset number, the maintenance item comprises cleaning, electronic detection and the like, the management evaluation value is compared with the preset management evaluation value threshold for analysis, if the management evaluation value is larger than the preset management evaluation value threshold, the part of the management evaluation value larger than the preset management evaluation value threshold is marked as a management influence value, the reference number is GY, and the larger the value of the management influence value GY is, the larger the abnormal risk is detected by the detection equipment;
according to the formulaObtaining detection influence fusion coefficients, wherein f1, f2, f3 and f4 are respectively preset weight factor coefficients of an external interference evaluation coefficient, a characteristic interference value, an accuracy evaluation value and a management influence value, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset correction factor coefficient, the value is 2.119, G is the detection influence fusion coefficient, and the detection influence fusion coefficient G is compared with a preset detection influence fusion coefficient threshold value recorded and stored in the detection influence fusion coefficient G:
if the ratio between the detection influence fusion coefficient G and the preset detection influence fusion coefficient threshold is smaller than 1, no signal is generated;
if the ratio between the detection influence fusion coefficient G and the preset detection influence fusion coefficient threshold is greater than or equal to 1, a risk signal is generated and sent to the operation and maintenance management unit, and after the operation and maintenance management unit receives the risk signal, preset early warning characters corresponding to the risk signal are displayed immediately, so that detection equipment can be managed and adjusted timely, and detection precision and detection effect of the detection equipment are guaranteed.
In summary, the invention performs analysis from two angles of self and external interference of the device to ensure the operation safety and detection precision of the detection device, and simultaneously helps to reduce the influence degree of self and external interference of the detection device on the detection result, so as to improve the detection accuracy of the detection device, and analyze the influence condition of the detection device by combining the influence data, so as to improve the accuracy of the analysis result, and perform data effective evaluation and supervision operation on the working data of the acquisition sensor to know whether the acquisition sensor operates normally, so as to improve the operation safety of the acquisition sensor on one hand, and improve the effectiveness of data acquisition on the other hand, so as to improve the accuracy of the analysis result.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (3)
1. The monitoring system of the engineering building construction quality detection equipment is characterized by comprising a supervision platform, a data acquisition unit, a self-checking feedback unit, an operation interference unit, an influence analysis unit, a fusion evaluation unit and an operation and maintenance management unit;
when the supervision platform generates a management command, the management command is sent to the data acquisition unit and the self-checking feedback unit, the data acquisition unit immediately acquires risk data and influence data of the detection equipment after receiving the management command, the risk data comprises an operation characteristic value and a detection risk value, the influence data comprises an environment influence value and an operation influence value, the risk data and the influence data are sent to the operation interference unit and the influence analysis unit, the operation interference unit immediately carries out operation supervision evaluation operation, progressive comparison analysis and interactive supervision operation on the risk data after receiving the risk data, and the obtained management signal and the early warning signal are sent to the operation maintenance management unit;
the influence analysis unit immediately performs influence feedback supervision analysis and influence supervision formula analysis on the influence data after receiving the influence data, and sends the obtained external interference evaluation coefficient R to the fusion evaluation unit;
the self-checking feedback unit immediately acquires working data of the data acquisition sensor after receiving the management command, wherein the working data comprises a transmission risk value and an acquisition effective value, carries out data effective evaluation and supervision operation and data effective feedback operation on the working data, sends an obtained effective signal to the fusion evaluation unit, and sends an obtained failure signal to the operation and maintenance management unit;
the fusion evaluation unit immediately carries out deep combination influence evaluation analysis and total operation on the external interference evaluation coefficient R after receiving the external interference evaluation coefficient R and the effective signal, and sends the obtained risk signal to the operation and maintenance management unit;
the data effective evaluation and supervision operation process of the self-checking feedback unit is as follows:
acquiring transmission risk values of all acquisition sensors in detection equipment in sub-time periods, wherein the transmission risk values represent the numbers corresponding to the line parameter data exceeding a preset threshold value, the line parameter data comprise the cracking length and the bulge number of the transmission line, the transmission risk values are compared with a stored preset transmission risk value threshold value for analysis, and if the transmission risk values are larger than the preset transmission risk value threshold value, the ratio of the number of the sub-time periods corresponding to the transmission risk value threshold value to the total number of the sub-time periods is marked as a data risk value;
acquiring acquisition effective values of all acquisition sensors in the detection equipment in a sub-time period, wherein the acquisition effective values represent product values obtained by carrying out data normalization processing on running temperature risk values exceeding a preset running temperature risk value threshold and a running voltage average value, the running temperature risk values represent acute angles formed by first intersection of a movement temperature characteristic curve and the preset movement temperature characteristic curve, so that a collection B of the acquisition effective values is constructed, the average value of the collection B is acquired, and the collection B is marked as an effective risk average value;
the operation supervision and evaluation operation process of the operation interference unit is as follows:
the method comprises the steps of acquiring the duration of running of detection equipment for a period of time, marking the duration as a time threshold, dividing the time threshold into i subtime periods, wherein i is a natural number larger than zero, acquiring running characteristic values of the detection equipment in each subtime period, wherein the running characteristic values represent the number of values corresponding to characteristic parameter information larger than a preset threshold, the characteristic parameter information comprises abnormal sound risk values, running temperature influence values and vibration amplitude average values, the abnormal sound risk values represent the length of line segments corresponding to line segments of the abnormal sound characteristic curves above the preset abnormal sound characteristic curves, the running temperature influence values represent the acute angle degree formed by the first intersection of the running temperature value curves and the preset running temperature value threshold curves, further acquiring a difference value between two connected running characteristic values, marking the average value of the difference value between the two connected running characteristic values as a characteristic interference value, and comparing the characteristic interference value with the preset characteristic interference value threshold values recorded and stored in the abnormal sound risk values:
if the characteristic interference value is smaller than a preset characteristic interference value threshold value, generating a normal signal;
if the characteristic interference value is greater than or equal to a preset characteristic interference value threshold value, generating an abnormal signal;
the progressive comparison and analysis process of the operation interference unit comprises the following steps:
acquiring detection risk values of detection equipment in each sub-time period, wherein the detection risk values represent parts of the running voltage average value of the detection equipment and the running power average value of the electronic element, which exceed a preset running power average value threshold, comparing the detection risk values with a stored preset detection risk value threshold, if the detection risk values are larger than the preset detection risk value threshold, marking the parts of the detection risk values larger than the preset detection risk value threshold as detection influence values, constructing a set A of detection influence values, acquiring a maximum subset and a minimum subset in the set A, marking the difference value between the maximum subset and the minimum subset in the set A as an accuracy evaluation value, and comparing the accuracy evaluation value with a preset accuracy evaluation value threshold which is input into the accuracy evaluation value and is stored in the accuracy evaluation value.
If the comparison between the precision evaluation value and the preset precision evaluation value threshold is smaller than 1, generating a qualified signal;
if the ratio between the precision evaluation value and the preset precision evaluation value threshold is greater than or equal to 1, generating a disqualification signal;
the interactive supervision operation process of the operation interference unit is as follows:
if the normal signal and the qualified signal are generated, a pipe transporting signal is obtained;
if a normal signal and an unqualified signal are generated, or an abnormal signal and a qualified signal are generated, or an abnormal signal and an unqualified signal are generated, an early warning signal is obtained;
the data effective feedback operation process of the self-checking feedback unit is as follows:
comparing the data risk value and the effective risk mean value with a preset data risk value threshold value and a preset effective risk mean value threshold value which are recorded and stored in the data risk value and the effective risk mean value, and analyzing the data risk value and the effective risk mean value:
if the ratio between the data risk value and the preset data risk value threshold is smaller than 1, and the ratio between the effective risk average value and the preset effective risk average value threshold is smaller than 1, generating an effective signal;
if the ratio between the data risk value and the preset data risk value threshold is greater than or equal to 1, or the ratio between the effective risk average value and the preset effective risk average value threshold is greater than or equal to 1, generating a failure signal;
the in-depth binding influence evaluation analysis process of the fusion evaluation unit is as follows:
the characteristic interference value and the precision evaluation value are called from the operation interference unit, and the characteristic interference value and the precision evaluation value are respectively marked as TG and JP;
meanwhile, a management evaluation value of the detection equipment in the time threshold is obtained, wherein the management evaluation value represents the number of the numerical values corresponding to the management parameter information exceeding a preset threshold, the management parameter information comprises a maintenance interval time length average value and a maintenance risk value, the maintenance risk value represents the number of times that the number corresponding to a maintenance item is smaller than the preset number, the maintenance item comprises cleaning and electronic detection, the management evaluation value is compared with the preset management evaluation value threshold for analysis, and if the management evaluation value is larger than the preset management evaluation value threshold, the part of the management evaluation value larger than the preset management evaluation value threshold is marked as a management influence value GY;
the fusion evaluation unit has the following operation process:
according to the formulaObtaining detection influence fusion coefficients, wherein f1, f2, f3 and f4 are respectively preset weight factor coefficients of an external interference evaluation coefficient, a characteristic interference value, an accuracy evaluation value and a management influence value, f1, f2, f3 and f4 are positive numbers larger than zero, f5 is a preset correction factor coefficient, the value is 2.119, G is the detection influence fusion coefficient, and the detection influence fusion coefficient G is compared with a preset detection influence fusion coefficient threshold value recorded and stored in the detection influence fusion coefficient G:
if the ratio between the detection influence fusion coefficient G and the preset detection influence fusion coefficient threshold is smaller than 1, no signal is generated;
and if the ratio between the detection influence fusion coefficient G and the preset detection influence fusion coefficient threshold is greater than or equal to 1, generating a risk signal.
2. The monitoring system of engineering construction quality detection equipment according to claim 1, wherein the impact feedback supervision analysis process of the impact analysis unit is as follows:
the method comprises the steps that an environmental impact value of detection equipment in a sub-time period is obtained, the environmental impact value represents the sum of the number corresponding to an internal environmental parameter in the detection equipment and the number corresponding to an external environmental parameter outside the detection equipment, wherein the number corresponding to the internal environmental parameter is larger than a preset threshold value, the number corresponding to the external environmental parameter is larger than the preset threshold value, the internal environmental parameter comprises an internal environmental temperature mean value and a ventilation flow mean value in unit time, the external environmental parameter comprises an external dust concentration mean value and an external electromagnetic interference mean value, the environmental impact value is compared with a preset environmental impact value threshold value, and if the environmental impact value is larger than the preset environmental impact value threshold value, the number of the sub-time period corresponding to the environmental impact value larger than the preset environmental impact value threshold value is an environmental risk value HF.
3. The monitoring system of engineering construction quality inspection equipment according to claim 2, wherein the impact supervision formula analysis process of the impact analysis unit is as follows:
acquiring an operation influence value of the detection equipment in the sub-time period, wherein the operation influence value represents a ratio between a part of the inclination angle between the placement attaching surface of the detection equipment and the placement surface exceeding a preset inclination angle threshold value and the inclination angle, comparing the operation influence value with a stored preset operation influence value threshold value for analysis, and marking a part of the operation influence value larger than the preset operation influence value threshold value as a placement risk value BF if the operation influence value is larger than the preset operation influence value threshold value;
according to the formulaObtaining an external interference evaluation coefficient, wherein a1 and a2 are respectively an environment risk value and a preset scale factor coefficient for placing the risk value, a1 and a2 are positive numbers larger than zero, a3 is a preset fault tolerance factor coefficient, the value is 1.152, and R is the external interference evaluation coefficient.
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