CN111382195B - Foundation pit safety monitoring data analysis method and system - Google Patents
Foundation pit safety monitoring data analysis method and system Download PDFInfo
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- CN111382195B CN111382195B CN202010162154.6A CN202010162154A CN111382195B CN 111382195 B CN111382195 B CN 111382195B CN 202010162154 A CN202010162154 A CN 202010162154A CN 111382195 B CN111382195 B CN 111382195B
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Abstract
The invention discloses a method and a system for analyzing safety monitoring data of a foundation pit, wherein the analysis method comprises the following steps: acquiring sensor data; judging whether the sensor data are effective or not, and determining an alarming sensor based on whether the effective sensor data meet the alarming condition or not; and determining the probability value of the accident of the foundation pit to be detected according to the monitoring weight of each monitoring item and the number of the alarming sensors corresponding to each monitoring item. Whether the collected sensor data are effective or not is determined, and the effective sensor data of the plurality of sensors are used for comprehensive analysis, so that the technical problems that the sensor data of each sensor form a data island and the sensors are not subjected to false alarm or overrun and no alarm caused by correlation analysis in the prior art are solved, the technical effects that the sensor data collected by the plurality of sensors can be comprehensively analyzed, and the probability value of the accident of the foundation pit to be detected can be determined based on the analysis result are achieved.
Description
Technical Field
The embodiment of the invention relates to the technical field of foundation pit safety monitoring, in particular to a method and a system for analyzing foundation pit safety monitoring data.
Background
At present, in the field of foundation pit safety monitoring, sensors are more and more widely applied, for example: sensors such as a steel bar gauge, a water level gauge, an anchor cable gauge, soil pressure, a static level gauge and a fixed inclinometer can all realize 24-hour uninterrupted data acquisition, however, after data acquisition comes, in the face of huge sensor data, the alarm threshold of each sensor can only be set at the present stage, whether the measuring point of each sensor is in a safety state or not is monitored, and therefore data of each sensor forms a data island, comprehensive analysis on the measured data among the sensors cannot be carried out, and whether the data acquired by each sensor is accurate or not cannot be judged.
At the foundation pit excavation stage, the site environment changes fast, and the construction is disturbed much, can lead to the alarm value of sensor not to conform to the on-the-spot actual conditions, and the condition of wrong report police or transfinite no warning takes place occasionally.
Disclosure of Invention
The invention provides a method and a system for analyzing foundation pit safety monitoring data, which can realize the technical effects of comprehensively analyzing sensor data acquired by a plurality of sensors and determining the probability value of accidents occurring in a foundation pit to be detected based on the analysis result.
The embodiment of the invention provides a method for analyzing foundation pit safety monitoring data, which comprises the following steps:
acquiring sensor data, wherein the sensor data are data transmitted by various sensors arranged at a foundation pit to be detected through a Data Transmission Unit (DTU), one sensor correspondingly monitors various monitoring items, and the number of each sensor is more than or equal to 1;
judging whether the sensor data are effective or not, and determining an alarming sensor based on whether the effective sensor data meet alarming conditions or not; wherein, the sensor which outputs the sensor data meeting the alarm condition is used as the sensor for alarming;
and determining the probability value of the accident of the foundation pit to be detected according to the monitoring weight of each monitoring item and the number of the alarming sensors corresponding to each monitoring item.
Further, the determining whether the sensor data is valid comprises:
calculating an mth median error of the sensor according to the obtained nth sensor data of each sensor and k sensor data before the nth sensor data, wherein n is k +1 is m +29, n is not less than 30, k is not less than 29, m is not less than 1, and n, k and m are integers;
judging whether the m +1 th median error is less than twice of the m th median error;
and if the judgment result is yes, the sensor data is valid.
Further, after determining whether the sensor data is valid, the analysis method further includes:
generating a data statistical analysis report and a data statistical analysis chart based on ten thousand of the judged sensor data every time ten thousand of the judged sensor data are judged, wherein the data statistical analysis chart comprises at least one of the following data: graph, bar graph, pie graph.
Further, the determining the probability value of the accident of the foundation pit to be detected according to the monitoring weight of each monitoring item and the number of the alarming sensors corresponding to each monitoring item comprises:
acquiring geological information and environmental information of the foundation pit to be detected;
determining the monitoring weight based on the geological information, the environmental information and the number of alarming sensors corresponding to each monitoring item;
and determining the probability value of the accident of the foundation pit to be detected based on the monitoring weight and the number of the alarming sensors corresponding to each monitoring item.
Further, the determining the probability value of the accident occurring in the foundation pit to be detected based on the monitoring weight and the number of the alarming sensors corresponding to each monitoring item includes:
determining a weight grade value based on the number of sensors for alarming;
and adding products of the weight value of each monitoring item and the weight grade value of the number of the corresponding alarming sensors to obtain the probability value of the accident of the foundation pit to be detected.
Further, the analysis method further comprises:
and adjusting the sensor giving an alarm and the monitoring frequency of the sensor at the preset distance from the sensor giving an alarm based on the probability value of the accident occurrence of the foundation pit to be detected and the position of the sensor giving an alarm.
Further, the sensor determining an alarm based on whether the valid sensor data meets an alarm condition comprises:
comparing the valid sensor data with a preset alarm threshold value of the corresponding monitoring item;
if the sensor data is larger than the preset alarm threshold value, the sensor data meets an alarm condition;
and determining the sensor which acquires the sensor data meeting the alarm condition as the alarm sensor.
Further, before the acquiring sensor data, the analyzing method further includes:
acquiring detection parameters of the foundation pit to be detected, wherein the detection parameters comprise a monitoring grade of the foundation pit to be detected, a monitoring item type of the foundation pit to be detected and sensor parameters of the monitoring items, and the sensor parameters comprise a sensor type and a sensor number;
and acquiring corresponding sensor data based on the detection parameters.
Further, before determining whether the sensor data is valid, the analysis method further includes:
setting a label and a timestamp of the sensor data based on the type of the item to be detected;
and resolving the set sensor data to obtain the resolved sensor data.
The embodiment of the present invention further provides a system for analyzing foundation pit safety monitoring data, where the analysis system uses the method for analyzing foundation pit safety monitoring data according to any of the above embodiments, and the analysis system includes: the device comprises a data acquisition unit, a data sorting unit, a data analysis unit and an alarm unit;
the data acquisition unit is electrically connected with the data sorting unit, the data analysis unit is electrically connected with the data sorting unit, and the alarm unit is electrically connected with the data analysis unit;
the data acquisition unit comprises a plurality of sensors and is used for acquiring sensor data and transmitting the sensor data to the data arrangement unit through a data transmission unit DTU, wherein the plurality of sensors are arranged at a foundation pit to be detected, one sensor correspondingly monitors a plurality of monitoring items of the foundation pit to be detected, and the number of each sensor is more than or equal to 1;
the data sorting unit is used for acquiring detection parameters of the foundation pit to be detected, distributing monitoring weight of each monitoring item of the foundation pit to be detected and adjusting monitoring frequency of the sensor;
the data analysis unit is used for judging whether the sensor data are effective or not and determining a sensor meeting an alarm condition based on the effective sensor data;
and the alarm unit is used for sending alarm information to a preset mobile terminal when the sensor data meet alarm conditions.
The invention discloses a method and a system for analyzing safety monitoring data of a foundation pit, wherein the analysis method comprises the following steps: acquiring sensor data; judging whether the sensor data are effective or not, and determining an alarming sensor based on whether the effective sensor data meet the alarming condition or not; and determining the probability value of the accident of the foundation pit to be detected according to the monitoring weight of each monitoring item and the number of the alarming sensors corresponding to each monitoring item. Whether the collected sensor data are effective or not is determined, and the effective sensor data of the plurality of sensors are used for comprehensive analysis, so that the technical problems that the sensor data of each sensor form a data island and the sensors are not subjected to false alarm or overrun and no alarm caused by correlation analysis in the prior art are solved, the technical effects that the sensor data collected by the plurality of sensors can be comprehensively analyzed, and the probability value of the accident of the foundation pit to be detected can be determined based on the analysis result are achieved.
Drawings
Fig. 1 is a flowchart of an analysis method of foundation pit safety monitoring data according to an embodiment of the present invention;
FIG. 2 is a flowchart of the step S102 for determining whether the sensor data is valid according to the embodiment of the present invention;
fig. 3 is a detailed flowchart of step S103 according to an embodiment of the present invention;
fig. 4 is a structural diagram of a foundation pit safety monitoring data analysis system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
It should be noted that the terms "first", "second", and the like in the description and claims of the present invention and the accompanying drawings are used for distinguishing different objects, and are not used for limiting a specific order. The following embodiments of the present invention may be implemented individually, or in combination with each other, and the embodiments of the present invention are not limited in this respect.
Fig. 1 is a flowchart of an analysis method of foundation pit safety monitoring data according to an embodiment of the present invention.
As shown in fig. 1, the method for analyzing the safety monitoring data of the foundation pit includes the following steps:
step S101, sensor data are obtained, wherein the sensor data are data transmitted by various sensors arranged at a foundation pit to be detected through a data transmission unit DTU, one sensor correspondingly monitors various monitoring items, and the number of each sensor is more than or equal to 1.
Specifically, a plurality of sensors of different types are installed at a foundation pit to be detected, the sensors are connected to a Data Transfer Unit (DTU) in a wired manner, and the DTU is a wireless terminal device which is specially used for converting serial port data into IP data or converting IP data into serial port data and transmitting the serial port data through a wireless communication network. The DTU can send the sensor data acquired by the sensor to a data sorting unit in the foundation pit safety monitoring data analysis system in a wireless mode. In the actual connection process, the number of the DTUs can be set according to the requirement, if the distances of several sensors are short, a plurality of sensors can be connected to the same DTU in parallel, if a certain sensor is far away from other sensors, a DTU can be independently set to connect the sensor, but at least one sensor and one DTU are required to be ensured on each monitoring item.
For a foundation pit to be detected, multiple items to be monitored are provided, more than one monitoring item can be correspondingly monitored by the same sensor, for example, the static level can not only collect vertical displacement of the upright column, but also vertical displacement of the peripheral earth surface, vertical displacement of the peripheral buildings and the like; moreover, each sensor can be set in number according to actual needs, for example, for the same monitoring project, a plurality of sensors are usually set to monitor the same monitoring project for measuring accuracy, so as to obtain more monitoring data. The types of sensors corresponding to the monitoring items are shown in table 1.
TABLE 1 monitoring item table
| Monitoring items | First stage | Second stage | Three-stage | Sensor type |
| Horizontal displacement of top of enclosure wall (side slope) | Should measure | Should measure | Should measure | Laser range finder |
| Vertical displacement of the top of the enclosure wall (side slope) | Should measure | Should measure | Should measure | Static force level gauge |
| Horizontal displacement of deep layer | Should measure | Should measure | Fixed inclinometer | |
| Vertical displacement of column | Should measure | Static force level gauge | ||
| Support internal force | Should measure | Reinforcing bar meter | ||
| Internal force of anchor rod | Should measure | Anchor cable meter | ||
| Ground water level | Should measure | Should measure | Should measure | Water level meter |
| Vertical displacement of peripheral earth surface | Should measure | Should measure | Static force level gauge | |
| Vertical displacement of surrounding buildings | Should measure | Should measure | Should measure | Static force level gauge |
| Peripheral building tilt | Should measure | Should measure | Tilt angle instrument | |
| Horizontal displacement of surrounding buildings | Should measure | Should measure | Laser range finder | |
| Peripheral building and ground surface crack | Should measure | Should measure | Should measure | Crack meter |
Optionally, before acquiring the sensor data in step S101, the analysis method further includes:
acquiring detection parameters of a foundation pit to be detected, wherein the detection parameters comprise a monitoring grade of the foundation pit to be detected, a monitoring item type of the foundation pit to be detected and sensor parameters of monitoring items, and the sensor parameters comprise a sensor type and a sensor number; corresponding sensor data is obtained based on the sensed parameters.
Specifically, the sensor data is collected based on the detection parameters of the foundation pit to be detected, and before the sensor data is obtained, the detection parameters of the foundation pit to be detected need to be obtained. Firstly, the foundation pit to be detected needs to be graded, generally, workers grade the foundation pit to be detected according to the actual condition of the foundation pit to be detected, and the monitoring grade is divided into a first grade, a second grade and a third grade according to the table 1; secondly, the types of monitoring items to be monitored of foundation pits to be detected with different monitoring grades are different, and the types of the monitoring items of the foundation pits to be detected can be determined according to the determined monitoring grades by continuously referring to the table 1; finally, the corresponding sensor parameters are determined for the different monitoring items, i.e. the corresponding sensor type and sensor number are determined. After the detection parameters of the foundation pit to be detected are obtained, corresponding sensor data are obtained based on the detection parameters.
Step S102, judging whether the sensor data is effective or not, and determining an alarming sensor based on whether the effective sensor data meets the alarming condition or not; wherein, the sensor of which the output sensor data meets the alarm condition is taken as the sensor for alarming.
After the sensor data is acquired, the validity of the sensor data needs to be further analyzed, data with large errors are screened out, the data within the error range are effective sensor data, and whether a sensor giving an alarm exists is reserved and determined through the effective sensor data.
Fig. 2 is a flowchart of determining whether the sensor data is valid in step S102 according to an embodiment of the present invention.
Alternatively, as shown in fig. 2, the step S102 of determining whether the sensor data is valid includes the following steps:
step 1021, calculating an mth median error of the sensor according to the obtained nth sensor data of each sensor and k sensor data before the nth sensor data, wherein n is k +1 is m +29, n is not less than 30, k is not less than 29, m is not less than 1, and n, k and m are integers;
step S1022, determine whether the m +1 th median error is less than twice the m-th median error;
in step S1023, if the determination result is yes, the sensor data is valid.
Specifically, taking twice the median error as a limit error, calculating a median error by using the latest n sensor data collected by each sensor, comparing the later median error with the former median error, and if the later median error is less than twice the former median error, namely less than the limit error, determining that the latest collected nth sensor data is valid sensor data, otherwise, determining that the latest collected nth sensor data is invalid sensor data, and not storing the data.
Preferably, in the present application, it is configured to calculate a median error when one sensor acquires 30 sensor data, that is, when each sensor data is generated, the first 29 sensor data are captured to calculate the median error, for example, when n is 30, k is 29, then a first median error value, that is, m is 1, is calculated from 1 st to 30 th sensor data to obtain a first median error, and from 2 nd to 31 th sensor data to obtain a second median error, and the second median error is compared with twice the first median error to determine whether the 31 th sensor data is valid, so as to ensure validity and timeliness of the sensor data.
Optionally, in step S102, determining an alarm sensor based on whether the valid sensor data meets the alarm condition includes: comparing the effective sensor data with a preset alarm threshold value of a corresponding monitoring item; if the sensor data is larger than a preset alarm threshold value, the sensor data accords with an alarm condition; and determining the sensor which acquires the sensor data meeting the alarm condition as the alarm sensor.
Specifically, setting a preset alarm threshold value for each sensor according to different monitoring items, comparing sensor data with the preset alarm threshold value of the corresponding monitoring item after precision analysis, namely after judgment of whether the sensor data is valid sensor data, and if the sensor data exceeds the preset alarm threshold value, the sensor data meets an alarm condition and the sensor gives an alarm.
It should be noted that, for the same monitoring item, it is necessary to determine whether a plurality of (two or more) sensor data simultaneously exceed a preset alarm threshold, and if only one sensor data exists, the alarm of the monitoring item is cancelled. If the sensor data always exceeds the preset alarm threshold value, alarm information is sent to the preset mobile terminal, a worker at the preset mobile terminal checks whether the sensor is manually moved, damaged and the like on site according to needs, and editing information of the checking result and how the sensor data is processed (the processing modes are two, the sensor resets the initial value or the sensor fails and does not acquire the sensor any more) is replied to an alarm unit in the foundation pit safety monitoring data analysis system. The alarm unit records and processes the received information, and the processing record is also listed when a data statistical analysis report is subsequently generated.
Optionally, before determining whether the sensor data is valid at step S102, the analysis method further includes:
setting labels and timestamps of the sensor data based on the type of the item to be detected; and resolving the set sensor data to obtain the resolved sensor data.
Specifically, after the sensor data sent back from the DTU is acquired, the tag and the timestamp of the monitoring item need to be set for the same type of sensor data of different monitoring items, and the set sensor data is resolved to obtain the instant data of the sensor. For example, for monitoring the vertical displacement of the top of a project enclosure wall (side slope), three sensor hydrostatic levels are used for monitoring, and the three sensor hydrostatic levels are numbered as hydrostatic level 1, hydrostatic level 2 and hydrostatic level 3; 1 piece of data is transmitted back at 06, 00 min and 00 s at 02, 12 and 12 days in 2020, and the data calculation results are all 10mm, then the sensor data after setting the label and the time stamp for the sensor data are 20200212060000WHQ00110, 20200212060000WHQ00210 and 20200212060000WHQ00310 respectively; wherein 20200212060000 is the timestamp, WHQ is the label of measuring the vertical displacement of project enclosure wall (side slope) top, 001, 002, 003 are the dot number or the serial number of three sensors respectively, 10 is sensor data solution result. Therefore, the sensor data transmitted by a plurality of sensors of the same monitoring item are distinguished.
Optionally, in step S102, after determining whether the sensor data is valid, the analysis method further includes:
and generating a data statistical analysis report and a data statistical analysis chart based on the ten thousand judged sensor data every time ten thousand judged sensor data are finished, wherein the data statistical analysis chart comprises at least one of the following data: graph, bar graph, pie graph.
Specifically, for each monitoring item, after ten thousand sensor data are analyzed, a data statistical analysis report is generated to count the number of qualified and unqualified sensor data and the information such as the acquisition time, point number or serial number, position and the like of the unqualified sensor data, and a data statistical analysis chart is formed to facilitate the analysis of the generation reason of the unqualified data. The data statistical analysis graph may be a graph, a histogram, a pie chart, or the like, or other common data analysis graphs may be generated as needed, which is not described herein again.
And S103, determining the probability value of the accident of the foundation pit to be detected according to the monitoring weight of each monitoring item and the number of the alarming sensors corresponding to each monitoring item.
Specifically, a foundation pit to be detected has a corresponding project investigation report when setting up projects, wherein geological information and environmental information (such as surrounding building conditions and the like) of the project are contained, after monitoring grades of the foundation pit to be detected are divided, monitoring weight setting is carried out on each monitoring project of the foundation pit to be detected according to the geological information and the environmental information, after an alarming sensor appears, the probability value of the accident of the foundation pit to be detected is determined according to the monitoring weight and the number of the alarming sensors of different monitoring projects, so that the technical effects of comprehensively analyzing sensor data collected by a plurality of sensors and determining the probability value of the accident of the foundation pit to be detected based on an analysis result are achieved. After the sensors give an alarm, the monitoring weight of each monitoring item is adjusted according to the number of the sensors giving alarms to each monitoring item, so that the probability value of the accident of the foundation pit to be detected is accurately judged.
Fig. 3 is a specific flowchart of step S103 according to an embodiment of the present invention.
Optionally, in step S103, determining a probability value of an accident occurring in the foundation pit to be detected according to the monitoring weight of each monitoring item and the number of sensors of the alarm corresponding to each monitoring item includes the following steps:
and step S1031, obtaining geological information and environmental information of the foundation pit to be detected.
And S1032, determining monitoring weight based on the geological information, the environmental information and the number of alarming sensors corresponding to each monitoring item.
And step S1033, determining probability value of the accident of the foundation pit to be detected based on the monitoring weight and the number of the alarming sensors corresponding to each monitoring item.
Specifically, when two or more sensor data of one monitoring project are simultaneously alarmed, geological information and environmental information of the project are obtained from a foundation pit safety monitoring data analysis system, the information is obtained from a project survey report and is recorded into the system when the project is established, and the weight distribution of 12 monitoring projects in the table 1 is determined again according to the geological information, the environmental information and the number of alarmed sensors corresponding to each monitoring project. And then determining the probability value of the accident of the foundation pit to be detected according to the monitoring weight and the number of the alarming sensors corresponding to each monitoring item.
Illustratively, taking a certain construction project as an example, the geological information of the project is that a large amount of silty clay and silty sand exist, the fourth series of loose shallow pores mainly dive, and meanwhile, a certain amount of gap confined water is accompanied in an area with larger depth; the specific generation shape of the rock stratum of the geological structure of the construction site is monoclinic, the problem of bed rock exposure is not caused in the exploration construction site, a section is exposed at the bed rock position with the distance of 150m between the northwest angle of the site, the rock stratum is 135-degree angle 12 degrees, the rock stratum is a hard structural surface, the rock mass of the site is almost not provided with a notch, the specific structure is massive and layered, and no fault exists in a region and nearby regions; according to the current situation of engineering geology, the main components of the field stratum comprise siltstone, sandstone and the like; and the environment information is a cell with more than 20 stories of high buildings in the surrounding buildings. For the item, the monitoring weight of each monitoring item can be set as follows: the weight of deep horizontal displacement is 10%, the weight of support internal force is 10%, the weight of underground water level is 20%, the horizontal displacement of peripheral buildings and the horizontal displacement of the peripheral buildings are respectively 15%, and the rest items account for 30%. The distribution of the monitoring weight is determined according to siltstone and sandstone geology and surrounding buildings, the monitoring weight distribution conditions of each monitoring project obtained according to different geological combination conditions are different, and the monitoring weight of each monitoring project can be manually adjusted in the actual working process.
Optionally, in step S1033, determining a probability value of the occurrence of the accident in the foundation pit to be detected based on the monitoring weight and the number of the sensors for alarming corresponding to each monitoring item includes: determining a weight grade value based on the number of sensors for alarming; and adding products of the weight value of each monitoring item and the weight grade value of the number of the corresponding alarming sensors to obtain the probability value of the accident of the foundation pit to be detected.
Specifically, when 4 or more than 4 sensors monitoring one monitoring item alarm, the weight grade value of the monitoring item is the highest level 100%; when 3 sensors monitoring one monitoring item alarm, the weight grade value of the monitoring item is 70%; when 2 sensors monitoring one monitoring item alarm, the weight grade value of the monitoring item is 30%. Taking the monitoring weight set by the above as an example, the underground water level weight is 20%, if 2 sensors give an alarm, the probability value of the accident occurring in the foundation pit to be detected is 30% 20%, if 3 sensors give an alarm, the probability value of the accident occurring in the foundation pit to be detected is 70% 20%, and if 4 or more sensors give an alarm, the probability value of the accident occurring in the foundation pit to be detected is 100% 20%.
Optionally, the method for analyzing the foundation pit safety monitoring data further comprises the step of adjusting the monitoring frequency of the sensor generating the alarm and the monitoring frequency of the sensor at a preset distance from the sensor generating the alarm based on the probability value of the accident occurring in the foundation pit to be detected and the position of the sensor generating the alarm.
Specifically, after the probability value of the accident occurring in the foundation pit to be detected is obtained, the monitoring frequency of the sensor which generates the alarm and the monitoring frequency of the sensor which is away from the sensor which generates the alarm by a preset distance are adjusted according to the position of the sensor which generates the alarm, after the probability value of the accident occurring in the foundation pit to be detected is determined, an instruction of encrypting the monitoring frequency is sent to the sensor which generates the alarm, meanwhile, the instruction of encrypting the monitoring frequency is sent to the sensors of adjacent monitoring items around the sensor according to the position of the sensor which generates the alarm, and 3 sensors which are closest to the alarm sensor in each monitoring item are encrypted and monitored by taking the position of the sensor which generates the alarm as a center, or the sensors which are away from the alarm sensor by a preset distance, such as the sensors.
By monitoring the sensors around the alarm sensor in an encryption manner, more data can be acquired to participate in analysis and monitoring weight can be distributed, so that more accurate foundation pit safety condition can be obtained.
Maintaining the original frequency to continue monitoring when the probability value of the final accident occurrence of the foundation pit to be detected is lower than 20%; 20-30%, the monitoring frequency is increased by 30%, and the monitoring frequency is calculated once less than once; 30-40%, the monitoring frequency is increased by 50%, and the monitoring frequency is calculated once less than once; and the monitoring frequency is increased by 100% between 40% and 50%, and meanwhile, the alarm unit sends alarm information to the preset mobile terminal.
Fig. 4 is a structural diagram of a foundation pit safety monitoring data analysis system according to an embodiment of the present invention.
An embodiment of the present invention further provides a system for analyzing foundation pit safety monitoring data, where the analysis system uses the method for analyzing foundation pit safety monitoring data according to any of the above embodiments, and as shown in fig. 4, the analysis system includes: the data acquisition unit 31, the data sorting unit 32, the data analysis unit 33 and the alarm unit 34; the data acquisition unit 31 is electrically connected with the data sorting unit 32, the data analysis unit 33 is electrically connected with the data sorting unit 32, and the alarm unit 34 is electrically connected with the data analysis unit 33.
The data acquisition unit 31 includes various sensors for acquiring sensor data and transmitting the sensor data to the data arrangement unit 32 through the data transmission unit DTU, wherein the various sensors are disposed at the foundation pit to be detected, and one sensor corresponds to a monitoring item for monitoring various foundation pits to be detected, and the number of each sensor is greater than or equal to 1.
Specifically, the data acquisition unit 31 includes a plurality of sensors, which are connected to the data transmission unit DTU by wires, and the DTU transmits the sensor data to the data collating unit 32 in a wireless manner.
The data sorting unit 32 is configured to obtain detection parameters of the foundation pit to be detected, and is further configured to assign monitoring weights of monitoring items of the foundation pit to be detected and adjust monitoring frequencies of the sensors.
Specifically, the detection parameters include the monitoring grade of the foundation pit to be detected, the monitoring item type of the foundation pit to be detected and the sensor parameters of the monitoring items, firstly, the foundation pit to be detected needs to be graded, and generally, workers grade the foundation pit to be detected according to the actual condition of the foundation pit to be detected; secondly, the types of monitoring items to be monitored are different in foundation pits to be monitored with different monitoring grades, and the types of the monitoring items of the foundation pits to be monitored can be determined according to the determined monitoring grades; finally, the corresponding sensor parameters are determined for the different monitoring items, i.e. the corresponding sensor type and sensor number are determined.
After the data analysis unit 33 determines the sensors meeting the alarm condition, the data sorting unit 32 may further obtain geological information and environmental information of the foundation pit to be detected, and determine the monitoring weight based on the geological information, the environmental information and the number of the sensors for alarm corresponding to each monitoring item. And after the probability value of the accident occurrence of the foundation pit to be detected is determined according to the monitoring weight, adjusting the monitoring frequency of the sensor for generating the alarm and the sensor for presetting the distance from the sensor for generating the alarm based on the probability value of the accident occurrence of the foundation pit to be detected and the position of the sensor for generating the alarm.
The data analysis unit 33 is used to determine whether the sensor data is valid and determine the sensors that meet the alarm condition based on the valid sensor data.
Specifically, the mth median error of the sensor is calculated through the obtained nth sensor data of each sensor and k sensor data before the nth sensor data, wherein n is k +1 is m +29, n is not less than 30, k is not less than 29, m is not less than 1, and n, k and m are integers; judging whether the m +1 th median error is less than twice of the m-th median error; and if the judgment result is yes, the sensor data is valid. For example, when 30 sensor data are collected by one sensor, a median error is calculated, that is, the first 29 sensor data are captured to calculate the median error every time when one sensor data is generated, for example, when n is 30, k is 29, a first median error value, that is, m is 1 is calculated at this time, the first median error is calculated from the 1 st to the 30 th sensor data, the second median error is calculated from the 2 nd to the 31 th sensor data, and the second median error is compared with twice of the first median error to determine whether the 31 th sensor data is valid, so as to ensure the validity and timeliness of the sensor data.
The data analysis unit 33 can further generate a data statistical analysis report and a data statistical analysis chart according to the sensor data, wherein the data statistical analysis chart includes at least one of the following: graph, bar graph, pie graph.
The alarm unit 34 is configured to send alarm information to a preset mobile terminal when the sensor data meets an alarm condition.
Specifically, if the sensor data is greater than the preset alarm threshold, that is, the sensor data meets the alarm condition, the alarm unit 34 sends alarm information to a preset mobile terminal, where the preset mobile terminal may be a mobile phone of a relevant responsible person, a monitor for monitoring construction projects, or the like, and besides sending the alarm information, an alarm mode of whistling or flashing light may be set for alarm.
The foundation pit safety monitoring data analysis system provided by the embodiment of the invention uses the foundation pit safety monitoring data analysis method in the embodiment, so that the foundation pit safety monitoring data analysis system provided by the embodiment of the invention also has the beneficial effects described in the embodiment, and further description is omitted here.
In the description of the embodiments of the present invention, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Finally, it should be noted that the above-mentioned embodiments are only preferred embodiments of the present invention and the technical principles applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (8)
1. A method for analyzing foundation pit safety monitoring data is characterized by comprising the following steps:
acquiring sensor data, wherein the sensor data are data transmitted by various sensors arranged at a foundation pit to be detected through a Data Transmission Unit (DTU), one sensor correspondingly monitors various monitoring items, and the number of each sensor is more than or equal to 1;
judging whether the sensor data are effective or not, and determining an alarming sensor based on whether the effective sensor data meet alarming conditions or not; wherein, the sensor which outputs the sensor data meeting the alarm condition is used as the sensor for alarming;
determining the probability value of the accident of the foundation pit to be detected according to the monitoring weight of each monitoring item and the number of alarming sensors corresponding to each monitoring item;
determining the probability value of the accident of the foundation pit to be detected according to the monitoring weight of each monitoring item and the number of the alarming sensors corresponding to each monitoring item comprises the following steps:
acquiring geological information and environmental information of the foundation pit to be detected;
determining the monitoring weight based on the geological information, the environmental information and the number of alarming sensors corresponding to each monitoring item;
determining the probability value of the accident of the foundation pit to be detected based on the monitoring weight and the number of the alarming sensors corresponding to each monitoring item;
determining the probability value of the accident of the foundation pit to be detected based on the monitoring weight and the number of the alarming sensors corresponding to each monitoring item comprises the following steps:
determining a weight grade value based on the number of sensors for alarming;
and adding products of the weight value of each monitoring item and the weight grade value of the number of the corresponding alarming sensors to obtain the probability value of the accident of the foundation pit to be detected.
2. The analytical method of claim 1, wherein the determining whether the sensor data is valid comprises:
calculating an mth median error of the sensor according to the obtained nth sensor data of each sensor and k sensor data before the nth sensor data, wherein n is k +1 is m +29, n is not less than 30, k is not less than 29, m is not less than 1, and n, k and m are integers;
judging whether the m +1 th median error is less than twice of the m th median error;
and if the judgment result is yes, the sensor data is valid.
3. The analytical method of claim 2, wherein after determining whether the sensor data is valid, the analytical method further comprises:
generating a data statistical analysis report and a data statistical analysis chart based on ten thousand of the judged sensor data every time ten thousand of the judged sensor data are judged, wherein the data statistical analysis chart comprises at least one of the following data: graph, bar graph, pie graph.
4. The analytical method of claim 1, further comprising:
and adjusting the sensor giving an alarm and the monitoring frequency of the sensor at the preset distance from the sensor giving an alarm based on the probability value of the accident occurrence of the foundation pit to be detected and the position of the sensor giving an alarm.
5. The analytical method of claim 1, wherein the determining an alarming sensor based on whether the valid sensor data meets an alarm condition comprises:
comparing the valid sensor data with a preset alarm threshold value of the corresponding monitoring item;
if the sensor data is larger than the preset alarm threshold value, the sensor data meets an alarm condition;
and determining the sensor which acquires the sensor data meeting the alarm condition as the alarm sensor.
6. The analytical method of claim 1, wherein prior to the acquiring sensor data, the analytical method further comprises:
acquiring detection parameters of the foundation pit to be detected, wherein the detection parameters comprise a monitoring grade of the foundation pit to be detected, a monitoring item type of the foundation pit to be detected and sensor parameters of the monitoring items, and the sensor parameters comprise a sensor type and a sensor number;
and acquiring corresponding sensor data based on the detection parameters.
7. The analytical method of claim 6, wherein prior to determining whether the sensor data is valid, the analytical method further comprises:
performing tag and timestamp setting on the sensor data based on the type of the monitoring item;
and resolving the set sensor data to obtain the resolved sensor data.
8. An analysis system for pit safety monitoring data, wherein the analysis system uses the method of any one of claims 1 to 7, the analysis system comprising: the device comprises a data acquisition unit, a data sorting unit, a data analysis unit and an alarm unit;
the data acquisition unit is electrically connected with the data sorting unit, the data analysis unit is electrically connected with the data sorting unit, and the alarm unit is electrically connected with the data analysis unit;
the data acquisition unit comprises a plurality of sensors and is used for acquiring sensor data and transmitting the sensor data to the data arrangement unit through a data transmission unit DTU, wherein the plurality of sensors are arranged at a foundation pit to be detected, one sensor correspondingly monitors a plurality of monitoring items of the foundation pit to be detected, and the number of each sensor is more than or equal to 1;
the data sorting unit is used for acquiring detection parameters of the foundation pit to be detected, distributing monitoring weight of each monitoring item of the foundation pit to be detected and adjusting monitoring frequency of the sensor;
the data analysis unit is used for judging whether the sensor data are effective or not and determining a sensor meeting an alarm condition based on the effective sensor data;
and the alarm unit is used for sending alarm information to a preset mobile terminal when the sensor data meet alarm conditions.
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| CN114708699B (en) * | 2022-06-01 | 2022-08-12 | 天津理工大学 | Building operation and maintenance monitoring and alarming system and method based on CIM |
| CN115343976A (en) * | 2022-06-20 | 2022-11-15 | 阳城国际发电有限责任公司 | Remote monitoring system based on power plant energy efficiency analysis |
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