CN116993163A - Water conservancy and hydropower engineering construction safety supervision system and method - Google Patents
Water conservancy and hydropower engineering construction safety supervision system and method Download PDFInfo
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Abstract
The invention discloses a method and a system for monitoring construction safety of water conservancy and hydropower engineering. The method comprises the following steps: constructing a hub monitoring subsystem comprising a plurality of first sensors in a dam hub area; constructing a landslide body monitoring subsystem comprising a plurality of second sensors in a landslide body area; constructing an early warning rule for single construction risk based on the subset of the first sensor and the second sensor; the pre-warning rules are updated based on periodic and/or incident manual checks. According to the invention, when the deformation of the hub and the landslide body, the groundwater level of the landslide body and other data reflecting engineering risks are monitored through the monitoring subsystem, personnel inspection information which is difficult to obtain through the monitoring data is obtained through manual inspection, an early warning rule is constructed and updated, and the accuracy, timeliness and instantaneity of early warning are improved.
Description
Technical Field
The invention relates to the technical field of water conservancy construction management, in particular to a water conservancy and hydropower engineering construction safety supervision system and method.
Background
Hydraulic and hydroelectric engineering is an important infrastructure and industry. Specifically, the hydraulic and hydroelectric engineering refers to engineering constructed for controlling and preparing surface water and underground water in nature to achieve the purpose of removing harmful substances, and comprises the following steps: a farmland hydraulic engineering, a hydroelectric power generation engineering, a flood control engineering, a water supply and drainage engineering, a shipping engineering and an environmental hydraulic engineering. The hydraulic and hydroelectric engineering is mainly used for researching water resources, hydraulic structures, hydraulics, hydrodynamics and hydraulic engineering technologies, and carrying out survey, planning, design, construction, management and the like of the hydraulic and hydroelectric engineering.
The Chinese patent application with publication number of CN115879897A discloses a water conservancy and hydropower engineering construction management system and a management method. The method comprises the following steps: acquiring state information of first equipment, wherein the state information at least comprises position information and/or first working information; extracting position information in the state information, and judging whether the first equipment is in a target construction area or not according to the position information; if the first equipment is judged to be in the target construction area according to the position information, acquiring sound information and/or image information through the first equipment; and detecting whether the sound information and/or the image information comprises the sound information and/or the image information when the second device works.
The Chinese patent application with publication number of CN115063020A discloses a multi-dimensional safety scheduling device and method for a cascade hydropower station based on risk monitoring fusion, wherein the device comprises the following components: the risk monitoring block fuses the hydropower station risk monitoring data with the hydropower station relation database to generate a hydropower station risk fusion database; the risk identification block determines risk sources of different event dimensions in centralized control operation of the cascade hydropower station and risk levels of the current hydropower station operation environment; the risk analysis block determines a risk transfer trend prediction result based on risk sources of different event dimensions in centralized control operation of the cascade hydropower station; the risk early warning block compares the risk level of the current hydropower station operating environment and the risk transfer trend prediction result with a preset risk threshold value respectively; the risk regulation block performs multidimensional safety scheduling on the cascade hydropower station based on the early warning information.
The prior art mainly utilizes various monitoring devices to acquire deformation data and ground water level of a landslide body, and provides real-time data reference for analysis decision-making. In the prior art, though the conditions of displacement, deformation and the like of a landslide body can be accurately measured by utilizing a high-precision monitoring instrument, when whether the landslide body has safety risks or not is analyzed and estimated by utilizing monitoring data, the risk is estimated mainly by utilizing personal experience of an analyst and historical landslide data, so that when a new person is responsible for inspection, the analyst with abundant experience is required to conduct guidance, and the difference of personal experience leads to the fact that the estimation of potential safety risks by different analysts cannot be unified, thereby leading to insufficient safety supervision. Meanwhile, the evaluation method has low accuracy and real-time performance and insufficient capability of coping with sudden events or environmental change.
Furthermore, there are differences in one aspect due to understanding to those skilled in the art; on the other hand, since the applicant has studied a lot of documents and patents while making the present invention, the text is not limited to details and contents of all but it is by no means the present invention does not have these prior art features, but the present invention has all the prior art features, and the applicant remains in the background art to which the right of the related prior art is added.
Disclosure of Invention
Aiming at the defects of the prior art, the application provides a water conservancy and hydropower engineering construction safety supervision method. The method comprises the following steps: constructing a hub monitoring subsystem comprising a plurality of first sensors in a dam hub area; constructing a landslide body monitoring subsystem comprising a plurality of second sensors in a landslide body area; constructing an early warning rule for construction risks based on the subset of the first sensor and the second sensor; the pre-warning rules are updated based on periodic and/or incident manual checks. By respectively constructing a plurality of independent monitoring subsystems based on sensors in the dam junction area and the landslide body area, a specific first sensor and a specific second sensor are selected for each construction risk, and an early warning rule based on various single construction risk types is constructed, so that each construction risk has the specific combination of the first sensor in the dam junction area and the second sensor in the landslide body area for risk early warning. The sensor combination of each type of construction risk is different, and early warning can be specifically carried out on various types of risks. In this way, selective monitoring of risk types of interest can be facilitated. When risk early warning is carried out, all sensors do not need to be monitored at any time, and background data processing pressure can be reduced. The pre-warning rules can be manually preset based on experience or adjusted to verify based on historical data. The early warning rule is updated through periodic and/or incident manual inspection, so that the method can adjust the early warning rule according to the result of each manual inspection, and the accuracy of early warning monitoring is improved.
According to a preferred embodiment, constructing an early warning rule for construction risk based on the subset of the first and second sensors comprises: classifying the construction risks; and establishing a causal relation between the construction risk and information of the first sensor and the second sensor aiming at the construction risk of each category, wherein the information at least comprises the type, the position, the monitoring value and the early warning threshold value of the first sensor, and the type, the position, the detection value and the early warning threshold value of the second sensor. By establishing the causal relationship among the sensor type, the position, the detection value, the early warning threshold value and the construction risk type, the construction risk position and the emergency degree can be more accurately confirmed, and early warning information can be accurately and timely sent to equipment and constructors in areas with higher emergency degree.
According to a preferred embodiment, updating the pre-warning rules based on periodic and/or incident manual checks comprises: the positions of the first sensor and the second sensor and/or the early warning threshold value are adjusted based on the manual checking result, and the first sensor or the second sensor associated with the construction risk of the specific category is increased or decreased. By manually checking the field investigation mode, the number and the type of the sensors are increased or reduced or the positions of the sensors are adjusted based on the real-time environment change condition after each check, and in this way, the early warning accuracy is improved. According to a preferred embodiment, the method further comprises: and generating a predicted value of the construction risk based on the early warning rule and real-time construction information fed back by construction equipment and constructors, and sending early warning based on the predicted value of the construction risk.
According to a preferred embodiment, it is determined whether the variation of the monitoring values of the first sensor and the second sensor is consistent with the real-time construction information fed back by the construction equipment and the constructor, and when the variation of the monitoring values of the first sensor and the second sensor is inconsistent with the real-time construction information fed back by the construction equipment and the constructor, the early warning rule is updated or the early warning is sent out. Preferably, the pre-warning includes construction risk type, location and degree of urgency. According to a preferred embodiment, the method further comprises: obtaining deformation data of a landslide body and groundwater level data of the landslide body; setting a dangerous threshold value of deformation data of the landslide body according to the groundwater level data; evaluating whether the landslide body has landslide risk by judging whether the deformation data of the landslide body exceeds a dangerous threshold value; and when the deformation data of the landslide body exceeds a dangerous threshold value, warning information is issued to constructors and equipment.
The invention monitors the deformation of the landslide body, the ground water level of the landslide body and other data reflecting the landslide risk through the monitoring equipment, and simultaneously acquires constructor perception information such as vibration, audible abnormal sound, observed falling stones, and perception of temperature change, humidity change, wind speed change, water flow change and other environmental changes of personnel which are difficult to acquire through the monitoring data.
According to a preferred embodiment, the method further comprises: establishing a first association curve of the ground water level of the landslide body and time; establishing a second correlation curve of deformation data of the landslide body and time; generating a third correlation curve for predicting the time correlation of the deformation data of the landslide body by using the first correlation curve; and updating the dangerous threshold value under the condition that the second association curve and the third association curve are different.
According to the invention, the deformation data of the landslide body is predicted based on the change of the groundwater level data, and the dangerous threshold value is dynamically adjusted according to the difference condition of the deformation data of the landslide body and the deformation data of the predicted landslide body, so that the setting of the dangerous threshold value can be attached to the actual change of the landslide body.
According to a preferred embodiment, the method further comprises: acquiring personnel perception information and generating feedback records of the personnel perception information and time correlation; taking the first association curve, the second association curve, the third association curve and the feedback record as samples to perform machine learning to establish an analysis model; the analysis model gathers personnel perception information in a preset time period before and after a difference time point of the second association curve and the third association curve, and determines influence weights of various personnel perception information on landslide body deformation relative to the ground water level by combining the first association curve.
According to the invention, the influence of various personnel perception information on the deformation of the landslide body is analyzed through machine learning, and the dangerous threshold value can be corrected according to the personnel perception information when the landslide risk is estimated, so that unified and standard safety supervision is realized, the influence of personal experience on the risk estimation is eliminated as much as possible, and the setting of the dangerous threshold value in the landslide risk estimation is more standard.
According to a preferred embodiment, the method further comprises: safety monitoring is carried out by utilizing a learning model; and updating the danger threshold when the learning model acquires personnel perception information affecting the deformation of the landslide body.
According to the invention, the deformation data of the landslide body and the personnel sensing information and the groundwater level data in the preset time period before and after the occurrence of the difference time point of the deformation data of the landslide body are subjected to machine learning to determine the influence weight of various personnel sensing information on the deformation of the landslide body relative to the groundwater level, so that the analysis model can be continuously updated, the personal experience is quantized, a new person can get up more quickly, more monitoring items and the variety of the monitoring data can be acquired, and the monitoring is more thorough.
According to a preferred embodiment, the influence weight of the personnel perception information of the constructor is set in association with the history, working experience and current state of the constructor.
The invention also provides a water conservancy and hydropower engineering construction safety supervision system, which comprises: a hub monitoring subsystem comprising a plurality of first sensors; a landslide body monitoring subsystem comprising a plurality of second sensors; an early warning subsystem configured to construct an early warning rule for a single construction risk based on the subset of the first and second sensors; wherein the pre-warning subsystem is further configured to update the pre-warning rules based on periodic and/or incident manual inspection.
According to a preferred embodiment, the hub monitoring subsystem comprises a left bank non-overflow dam segment monitoring unit, a right bank non-overflow dam segment monitoring unit, an overflow dam segment monitoring unit and a factory building dam segment monitoring unit.
According to a preferred embodiment, the monitoring items of the hub monitoring subsystem include building monitoring, environmental quantity monitoring, deformation monitoring, seepage monitoring, stress strain and temperature monitoring.
According to a preferred embodiment, the first sensor includes, but is not limited to, a water level sensor, a water temperature sensor, an air temperature sensor, a horizontal displacement sensor, a vertical displacement sensor, a slope deformation sensor, a pressure sensor, a flow rate sensor.
The invention also provides a water conservancy and hydropower engineering construction safety supervision system, which comprises: the system comprises a monitoring unit, a processing unit and a mobile terminal worn by constructors. The monitoring unit is used for acquiring deformation data of the landslide body and ground water level data of the landslide body. The processing unit is configured to set a dangerous threshold of the deformation data according to the groundwater level data, and evaluate whether the landslide body has a landslide risk by comparing whether the deformation data of the landslide body exceeds the dangerous threshold, and send warning information to the mobile terminal in case the landslide body has a risk. The mobile terminal is capable of transmitting the person-awareness information to the processing unit.
According to a preferred embodiment, the processing unit comprises at least an analysis module and a storage module. The analysis module utilizes analysis models which are generated by taking deformation data of the historical landslide body and groundwater level data of the historical landslide body as samples to carry out machine learning to evaluate whether landslide risks exist in the landslide body. The analysis model predicts the deformation data of the landslide body based on the change of the groundwater level data and based on the danger threshold value of the deformation data of the landslide body, and the analysis module updates the danger threshold value under the condition that the deformation data of the landslide body is different from the deformation data of the predicted landslide body. The storage module generates a running log for recording data received by the processing unit and executed operations according to time sequence.
According to a preferred embodiment, the analysis module performs machine learning using the running log generated by the storage module to update the analysis model. The analysis model carries out machine learning on personnel perception information and underground water level data in a preset time period before and after a difference time point between deformation data of the landslide body and deformation data of the predicted landslide body so as to determine influence weights of various personnel perception information on the deformation of the landslide body relative to the underground water level.
According to a preferred embodiment, the analysis module is capable of acquiring personnel perception information of a constructor through the mobile terminal in the process of monitoring the deformation of the landslide body. When personnel sensing information affecting the deformation of the landslide body is obtained, the analysis module corrects the dangerous threshold.
According to a preferred embodiment, the influence weight of the personnel perception information of the constructor is set in association with the history, working experience and current state of the constructor.
Drawings
FIG. 1 is a schematic flow chart of a method for monitoring the construction safety of a hydraulic and hydroelectric engineering;
FIG. 2 is a schematic communication diagram of each unit of an embodiment of the hydraulic and hydroelectric engineering construction safety monitoring system provided by the invention;
Fig. 3 is a schematic view of monitoring a landslide body according to the present invention.
List of reference numerals
110: a monitoring unit; 111: a deformation data acquisition terminal; 112: a water level data acquisition terminal; 120: a processing unit; 130: a mobile terminal; 200: a landslide body; 300: an underground water layer.
Detailed Description
The following is a detailed description with reference to fig. 1 to 3.
Example 1
The hydraulic and hydroelectric engineering construction generally refers to dam construction, water blocking and dam building are needed in a river channel, so that the water level in the river channel changes, the stress of the dams on two sides of the river channel changes, landslide is easy to trigger, and in order to avoid adverse effects of landslide on the hydraulic and hydroelectric engineering, a possible landslide area needs to be monitored, timely early warning is expected to be provided before landslide occurs, personnel evacuation is carried out, and casualties are avoided. The water conservancy junction consists of a dam and a power generation plant, wherein the dam part comprises left and right bank non-overflow dam sections, overflow dam sections and plant dam sections. The main building comprises: overflow dam section, water intake dam section, right bank non-overflow dam, pressure pipeline, main building, auxiliary building, GIS building, tail water building, etc.
The embodiment provides a method for supervising construction safety of water conservancy and hydropower engineering, as shown in fig. 1, comprising the following steps: s1, constructing a junction monitoring subsystem comprising a plurality of first sensors in a dam junction area; s2, constructing a landslide body monitoring subsystem comprising a plurality of second sensors in a landslide body area; s3, constructing an early warning rule for single construction risk based on the subset of the first sensor and the second sensor; s4, updating the early warning rule based on periodic and/or incident manual inspection.
According to a specific embodiment, the construction risk comprises natural and/or artificial risks that can affect the construction and operation of the hydraulic and hydroelectric engineering, such as landslide, torrent, debris flow, collapse. The hydraulic and hydroelectric engineering construction dangerous source refers to a part, an area, a place, a space, a post, equipment and a position thereof which have potential energy and substance release dangers in the hydraulic and hydroelectric engineering construction process and can cause casualties, health damage, property loss and environmental damage and can be converted into accidents under the action of certain trigger factors. According to the method, the monitoring subsystems based on the plurality of sensors are respectively and independently built in the dam junction area and the landslide body area, a specific first sensor and a specific second sensor are selected for each construction risk, and an early warning rule based on various single construction risk types is built, so that each construction risk has a specific combination of the first sensor of the dam junction area and the second sensor of the landslide body area to perform risk early warning. The sensor combination of each type of construction risk is different, and early warning can be specifically carried out on various types of risks. In this way, selective monitoring of risk types of interest can be facilitated. When risk early warning is carried out, all sensors do not need to be monitored at any time, and background data processing pressure can be reduced. The pre-warning rules can be manually preset based on experience or adjusted to verify based on historical data. The early warning rule is updated through periodic and/or incident manual inspection, for example, the method can adjust the early warning rule according to the result of each manual inspection, and the accuracy of early warning monitoring is improved. Periodic manual inspection refers to manual inspection at regular time intervals, e.g., daily, every two days, every five days, weekly, monthly. The manual inspection comprises the steps of checking the position, the working state and the sensitivity of the sensor, and evaluating the early warning effectiveness of the detection index and the corresponding construction risk of the sensor. Preferably, the manual inspection is classified into at least daily inspection, weekly inspection, and monthly inspection according to the inspection content frequency and the importance level requirements of the associated risk. The incident manual inspection refers to an inspection performed due to sudden natural conditions such as earthquake and heavy rain and/or construction conditions.
Preferably, constructing the pre-warning rule for construction risk based on the subset of the first sensor and the second sensor comprises: classifying the construction risks; and establishing a causal relation between the construction risk and information of the first sensor and the second sensor aiming at the construction risk of each category, wherein the information at least comprises the type, the position, the monitoring value and the early warning threshold value of the first sensor, and the type, the position, the detection value and the early warning threshold value of the second sensor.
According to a specific embodiment, the construction risk includes at least a construction work risk, a mechanical equipment risk, a facility site risk, and a work environment risk. The sensors associated with construction risk include sensors involved in open cut construction, hole excavation construction, stone blasting, filling engineering, grouting engineering, inclined shaft excavation, geological defect processing, gravel production, concrete casting, scaffold engineering, formwork engineering and support systems, reinforcement construction, metal structure fabrication, installation and electromechanical equipment installation, building demolition, mating grid engineering, drainage, water (down) operation, limited space operation, overhead operation, pipe installation construction processes. Sensors associated with risk of mechanical equipment include sensors associated with transportation vehicles, specialty equipment, lifting and mounting and dismounting equipment. The sensors related to the facility site risks comprise sensors related to metal structure manufacturing processing plant sites, prefabricated component sites, construction roads, bridges, tunnels/cofferdams, such as a slag storage site, a foundation pit, a blasting equipment warehouse, an oil tank area of an oil tank, a material equipment warehouse, a water supply system, a ventilation system, a power supply system, a repair shop, a steel bar factory, a mould processing plant and the like. Sensors associated with operational environmental risk include those involved in poor geological conditions, potential landslide areas, hyperscale floods, dust, toxic and hazardous gases, and toxic chemical leakage environments. The early warning information of the construction risk comprises risk category, area, position, expected occurrence time, related construction equipment and personnel information, emergency degree and severity degree. By establishing the causal relationship among the sensor type, the position, the detection value, the early warning threshold value and the construction risk type, the construction risk position and the emergency degree can be more accurately confirmed, and early warning information can be accurately and timely sent to equipment and constructors in areas with higher emergency degree.
Preferably, updating the pre-warning rules based on periodic and/or incident manual inspection comprises: the positions of the first sensor and the second sensor and/or the early warning threshold value are adjusted, and the first sensor or the second sensor associated with the construction risk of a specific category is increased or decreased. Through the manual inspection of the field investigation mode, after each inspection, based on the real-time inspection condition, the number and the type of the sensors are increased or reduced, the positions of the sensors and the corresponding early warning threshold values are adjusted, and the early warning accuracy and the real-time performance are improved. Preferably, the method further comprises: and generating a predicted value of the construction risk based on the early warning rule and real-time construction information fed back by construction equipment and constructors, and sending early warning based on the predicted value of the construction risk.
Preferably, it is determined whether the variation of the monitoring values of the first sensor and the second sensor is consistent with the real-time construction information fed back by the construction equipment and the constructor, and when the variation of the monitoring values of the first sensor and the second sensor is inconsistent with the real-time construction information fed back by the construction equipment and the constructor, the early warning rule is updated or early warning is sent out. Preferably, according to the risk type and the emergency degree of the risk early warning, the risk early warning is divided into three types, the first type of risk early warning is directly sent to a construction unit, the second type of risk early warning is directly sent to a project legal organization supervision unit, and the third type of risk early warning is simultaneously sent to the construction unit and the project legal organization supervision unit. By the method, the construction unit and the supervision unit can coordinate management resources for corresponding risk early warning, process or remove risks in advance, and meanwhile avoid waste of management resources.
Preferably, the first sensor includes, but is not limited to, a water level sensor, a water temperature sensor, an air temperature sensor, a horizontal displacement sensor, a vertical displacement sensor, a slope deformation sensor, a pressure sensor, a flow rate sensor.
Preferably, the junction monitoring subsystem comprises a left-bank non-overflow dam section monitoring unit, a right-bank non-overflow dam section monitoring unit, an overflow dam section monitoring unit and a factory building dam section monitoring unit.
Preferably, the monitoring items of the hub monitoring subsystem include building monitoring, environmental volume monitoring, deformation monitoring, seepage monitoring, stress strain and temperature monitoring.
Specifically, a water conservancy and hydropower engineering construction safety supervision system is arranged according to the following principle. The monitoring project and the station arrangement should be capable of more comprehensively reflecting the working condition of the hydraulic building. According to engineering geological conditions and design characteristics of the positions of the hydraulic buildings, the monitoring items and instruments are required to be less and more accurate, the monitoring is convenient, and the precision meets the requirements. The engineering monitoring system is divided into two independent subsystems which are convenient for centralized management, namely dam hub prototype monitoring and landslide body monitoring, by combining the grade and structural types of engineering.
The hub consists of a dam and a power generation plant. The foundation of each building and factory building of the dam is weakly weathered or fresh sandstone and mudstone, the bottom of the dam is provided with a slow inclination angle layer, the stability and safety of the water retaining building are very important, and the water permeability of the foundation is strong. Therefore, in order to comprehensively grasp the working state of the hub, the engineering prototype monitoring is preferably carried out on the deformation and the basic seepage of the left and right bank non-overflow dam sections, the overflow dam sections and the factory building dam sections according to the engineering characteristics and geological conditions. The main monitoring items of the dam are as follows: site inspection, environmental quantity monitoring, deformation monitoring, seepage monitoring, stress strain and temperature monitoring.
Building monitoring requirements: from construction period to operation period, inspection is required for each building in engineering safety monitoring. The inspection should be carried out after carrying necessary appliances or having certain inspection conditions according to the specific conditions and characteristics of the hydraulic and hydroelectric engineering. When the observed side slope and each safety monitoring building are damaged and the original defects are further developed in the inspection, and the near-dam bank slope has sliding collapse symptoms or other abnormal signs, a special inspection report should be written immediately and reported, and meanwhile, the early warning rule is updated.
Specific items of building inspection include: dam inspection, dam foundation and abutment inspection, diversion building inspection, drainage building inspection, near dam bank inspection, gate and metal structure inspection and other building inspection. Preferably, the position, number and pre-warning threshold of the first sensor are adjusted based on the project of the building inspection.
Preferably, the dam checks mainly the following: 1) Staggering between adjacent dam segments; 2) The opening and closing condition of the expansion joint and the water stopping working condition; 3) The upstream and downstream dam surfaces, the wide slits and the gallery walls are provided with or not with cracks, and water leakage occurs in the cracks; 4) Whether the concrete is damaged or not; 5) Whether the concrete is eroded, eroded by water flow or freeze-thawing phenomenon; 6) The working state of the drain hole of the dam body, the water leakage quantity and the water quality of the leakage water are obviously changed; 7) The dam crest wave wall has the conditions of cracking and damage.
Preferably, the dam foundation and the abutment are mainly checked for: 1) The condition that whether the basic rock mass is extruded, dislocated, loosened and bulged 2) the joint of the dam body and the bedrock (or the bank slope) is dislocated, cracked, separated, permeated and the like; 3) The dam abutment areas of the two banks have the conditions of cracks, landslide, corrosion, infiltration and the like; 4) The working condition of the basic drainage and seepage monitoring facilities, the water leakage quantity and turbidity of the seepage water are changed.
Preferably, the diversion building is mainly inspected: the water inlet and the water diversion channel are blocked, cracked and damaged, and the condition of the building and the water inlet trash equipment and the flow state of water flow are controlled.
Preferably, the drainage structure is mainly checked for: 1) The gate pier, side wall, breast wall, overflow surface (cavity), working bridge, etc. of the building have cracks and damage; 2) The energy dissipation facilities have the conditions of abrasion erosion and siltation; 3) Flushing and silting conditions of the downstream river bed and bank slope; 4) The flow state of water flow; 5) Upstream trash installations.
Preferably, the near dam bank slope is mainly checked for: 1) The condition of ground water outcrop and seepage around a dam; 2) The bank slope has the signs of scouring, collapse, cracking and slippage.
Preferably, the shutter and the metal structure are mainly checked for: 1) The working conditions of the gate (including a gate slot, a gate support, a water stop and flat pressure valve, a vent hole and the like); 2) The on-off working condition of the on-off facility; 3) Corrosion and rust prevention of the metal structure; 4) Electrical control equipment, normal power and backup power operation. Preferably, inspection of other buildings is performed as described above.
The environmental quantity monitoring mainly comprises: and (5) monitoring water level, temperature and precipitation, and water temperature. Preferably, the early warning rule is updated according to the environmental quantity monitoring result. By the method, the early warning monitoring can be matched with the change of the natural environment elements, so that when the natural environment changes, the early warning can be accurately and timely performed, and the false early warning or early warning failure caused by the fact that the early warning rule is unchanged due to the change of the natural environment elements is avoided.
Preferably, the upstream and downstream water level monitoring includes manual observation by means of a building surface mounted water gauge. 1 water gauge is respectively arranged on the surface of the upstream side of the gate pier of the flood discharge dam section and the surface of the inlet gate pier of the factory building dam section; 1 water gauge is respectively arranged on the left side surface and the right side surface of each of the tail water of the factory building and the barrier of the flood discharge dam section; and 1 water gauge is arranged on the surface of the side wall of the tail water channel end section.
Preferably, the air temperature and precipitation monitoring comprises: a special hydrologic station is arranged at a preset distance, preferably 1-1.2 km, of the downstream of the reservoir, and the measuring data of the hydrologic station are directly utilized by the air temperature and rainfall of the engineering.
Preferably, the water temperature monitoring is automatically monitored by a temperature sensor with certain water pressure resistance. And selecting one gate pier of the flood discharge gate, arranging 3 measuring points on the upstream surface of the gate pier from top to bottom, and finishing monitoring of the water temperature in front of the dam at intervals of 5-10 m. And 3 measuring points are arranged on the surface of a gate pier of the tail water of the factory building from top to bottom, and the water temperature changes of different depths of water flowing through the water turbine are monitored to provide references for layered water taking.
The hinge area deformation monitoring mainly comprises: horizontal displacement control net and level foundation point, horizontal displacement monitoring, vertical displacement monitoring, seam monitoring and slope deformation monitoring. Preferably, a number of first sensors are set in the hub region based on the deformation monitoring content.
The horizontal displacement control network and the leveling base point hinge area deformation control network comprise 4 check base points and 2 working base points, wherein 1 check base point is respectively arranged on an upstream left bank and a right bank, 1 check base point is respectively arranged on a downstream left bank and a downstream right bank, and 1 working base point is respectively arranged on a left dam abutment and a right dam abutment. And each foundation point selects stable bedrock as a foundation, a concrete observation pier is poured, and a centering base is arranged on the pier top. And manually observing each deformation measuring point of the junction area by adopting a total station and an intersection method.
And the leveling check base point is arranged at the position 2km downstream of the junction, and 3 base rock marks are arranged by selecting stable base rock. And 1 leveling working base point is respectively arranged on the left dam abutment and the right dam abutment, the left dam abutment working base point is measured along the left bank leveling line from the leveling check base point during measurement, after the measurement of each settlement measuring point of the junction is completed, the left dam abutment working base point and the right bank leveling line are measured back, and the left dam abutment working base point and the right dam abutment working base point pass through a bridge at the position of about 2km at the downstream, and the left dam abutment working base point and the right dam abutment working base point return to the leveling check base point to complete the closed leveling ring line.
Monitoring horizontal displacement: the horizontal displacement monitoring of the junction area adopts the construction of concrete observation piers on the surface of the building, and the manual measurement is carried out by using total stations, intersection methods and control network base points. Station arrangement: a row of concrete observation piers are arranged on the upstream side along the pile number, the distance is about 40m, and the total of 5 observation piers are respectively 1 measuring point of a storage gate groove dam section, 3 measuring points of a flood discharge dam section and 1 measuring point of a factory building dam section; and 3 measuring points are arranged at the tail of the flood discharge dam gate pier at the downstream side, and 1 measuring point is arranged at the tail of the tail water gate pier of the factory building. The top of each observation pier is provided with one centering base, and the side face is provided with one leveling mark core, so that the observation pier can be used as a vertical displacement measuring point.
Vertical displacement monitoring: the vertical displacement monitoring of the hinge area is completed by installing partial leveling mark cores on each building except leveling mark core measuring points installed on the horizontal displacement observation piers. Station arrangement: 1 measuring point is respectively arranged at the upper and lower stream of the left bank non-overflow dam section, 1 measuring point is arranged at the right bank side wall top of the tail water channel, 2 measuring points are arranged at the left bank side wall top, and 1 measuring point is arranged at the right bank non-overflow dam section. And 2 measuring points are arranged along the diagonal line in the main transformer field. And calibrating each measuring point by using a leveling ring line.
Seam monitoring: seam monitoring is mainly performed by arranging seam gauges among structural seams of each dam segment. Station arrangement: 1 seam measuring meter is respectively arranged among the parting seams of the right bank non-overflow dam section, the storage gate groove dam section and the flood discharge dam section and among the structural seams of the factory building dam section and the left bank non-overflow dam section; and 1 seam measuring meter is respectively arranged on the upper and downstream sides of the gate pier between the flood discharge dam section and the factory building dam section, and 1 seam measuring meter is respectively arranged on the upper and downstream sides of the middle part of the seam surface.
Slope deformation monitoring: and selecting a height slope of about 20m of the side surface of the main transformer field for monitoring. 2 measuring points are arranged on each level of the side slope on the horse way, the drill holes are buried with the inclinometer pipes, and 3 fixed inclinometers are arranged in the inclinometer pipes.
The junction field seepage monitoring comprises the following steps: monitoring the lifting pressure of the substrate and monitoring seepage around the dam. Monitoring the lifting pressure of the substrate: and a row of measuring points are arranged behind the base seepage-proofing curtain along the axial direction of the dam, and each measuring point comprises 1 measuring point of a storage gate groove dam section, 3 measuring points of a flood discharge dam section and 1 measuring point of a factory building dam section. Meanwhile, a row of 3 measuring points are respectively arranged in the upstream and downstream directions of the flood discharge dam section and the factory building dam section, and the along-path variation of the lifting force of the substrate is monitored. Each measuring point is embedded with 1 osmometer at the pit of the foundation surface.
A row of pressure measuring pipes are arranged along the axis of the dam and used as a supplementary monitoring means for the manual observation of seepage monitoring and the failure of the osmometer, and the supplementary monitoring means comprise 1 measuring point of a storage gate groove dam section, 3 measuring points of a flood discharge dam section and 1 measuring point of a factory building dam section.
Monitoring seepage around a dam: and 3 measuring points are respectively arranged on the downstream sides of the left bank and the right bank dam axial line along the assumed flowing direction of the surrounding dam seepage, each measuring point is drilled with 1 pressure measuring pipe, and the drilling depth is required to reach a natural underground water line.
Stress strain and temperature monitoring includes: the method comprises the steps of steel bar stress monitoring, anchor rope and anchor rod stress monitoring, concrete temperature monitoring and bedrock temperature monitoring.
And (3) monitoring the stress of the steel bar: and selecting a middle pier of one of the flood discharge dam sections to monitor stress of the arc door leaf-shaped steel bars. 3 stress steel bars are respectively selected on the sector steel bars at the left side and the right side of the middle pier, 1 steel bar meter is respectively arranged at the near point of the opposite hinged bracket, 3 stress steel bars are selected, and 1 steel bar meter is respectively arranged at the far point.
And (3) monitoring the stress of the anchor cable and the anchor rod: the middle pier of the flood discharge gate is provided with prestressed anchor cables, 5 anchor cable dynamometers of 4000kN and 4 anchor cable dynamometers of 2200kN are selectively arranged at key positions according to the tonnage of the anchor cable. A large number of anchor rods are arranged at the bottom of the flood discharge gate and on the side slope at the downstream of the fishway, part of anchor rods at key positions are selected for monitoring, 40 anchor rod dynamometers are arranged at the bottom of the flood discharge gate, and 10 anchor rod dynamometers are arranged at the side slope.
And (3) concrete temperature monitoring: and adopting a buried resistance thermometer for automatic monitoring. The large-volume concrete of the flood discharge gate bottom plate and the storage gate groove dam section needs to be subjected to construction period temperature monitoring, is used as an important reference basis for adjusting temperature control measures, and needs to be provided with permanent temperature monitoring in the later period. The construction adopts an arrangement mode of combining temporary construction period and permanent operation period monitoring, and selects the center position of each block to be provided with a resistance thermometer according to the characteristics of large-volume concrete partition blocks. The total arrangement of the resistance thermometers is about 20, so that the requirement of temperature monitoring in the construction period is met, and the resistance thermometer can be used for permanent temperature monitoring in the operation period.
Monitoring the temperature of bedrock: and adopting a bedrock thermometer buried in the bedrock to automatically monitor.
1 monitoring point is respectively arranged on the upstream and downstream of the bedrock of the flood discharge dam section (the same section as the monitoring of the water temperature in front of the dam), the depth of the drilled holes is about 10m, and the bedrock thermometers are buried in layers at intervals of about 3 m.
Preferably, the method further comprises flow rate monitoring. Preferably, the flow rate in the stilling pool and the downstream flow rate are monitored by providing an ultrasonic flow meter. Preferably, the monitoring items of the landslide body mainly include: deformation monitoring and ground water level monitoring.
Deformation monitoring: considering the dispersion of landslide areas in a reservoir area, the device is far away from a junction area management center, if surface deformation observation is completely carried out manually, the measurement frequency is limited, and the deformation degree cannot be timely early-warned and observed in real time when the landslide body is greatly deformed, so that the device is designed to carry out the landslide body deformation monitoring in an automatic monitoring mode and a manual observation mode as an auxiliary mode.
Station arrangement: in each landslide area, 2 monitoring sections are arranged along the estimated sliding direction, and each section comprises 2 automatic measuring points for deep deformation of the landslide body. And the concrete observation pier 4 seats are distributed in each landslide body area, the measurement base point observation pier 3 seats are distributed outside the landslide area, and manual observation is performed by adopting a total station.
The equipment for automating the measuring point comprises: 1 branch of inclinometer (depth should pass through the sliding surface estimated by design), 4 branches of fixed inclinometer (place in the inclinometer), 1 part of wireless data acquisition terminal (requiring 4 branches of intelligent RS485 interface, 1 branch of string type sensor interface, built-in GPRS network, waterproof IP67 grade, solar cell panel and lithium battery), 1 branch of upright post (with lightning rod), 1 branch of osmometer and cable.
The automatic measuring point formed by the method can realize all-weather high-frequency automatic data collection, sends the data to a monitoring center in an off-the-air GPS mode, is connected with a network server of the monitoring center, and presents a time-deformation curve of a landslide body in a visual mode by matching with intelligent data collection processing software so as to provide real-time data reference for analysis decisions.
Monitoring the underground water level: and (3) installing 1 osmometer at the bottom of the hole by using the drilling holes of each inclinometer pipe. The measured groundwater level change can provide basis for landslide calculation and analysis. The synchronization uses wireless transmission.
Preferably, the second sensor includes, but is not limited to, a water level sensor, a stress sensor, a deformation sensor.
The supervision method provided in this embodiment further includes: obtaining deformation data of a landslide body and groundwater level data of the landslide body; setting a dangerous threshold value of deformation data of the landslide body according to the groundwater level data; evaluating whether the landslide body has landslide risk by judging whether the deformation data of the landslide body exceeds a dangerous threshold value; and under the condition that the deformation data of the landslide body exceeds a dangerous threshold value, warning information is issued, so that constructors evacuate dangerous areas. The water conservancy and hydropower engineering construction safety supervision method provided by the embodiment can also be used for monitoring the landslide body in water conservancy and hydropower construction, evaluating whether the landslide body has landslide risk or not, and issuing warning information under the condition that the landslide body has landslide risk, so that constructors can withdraw from dangerous areas.
Landslide refers to the natural phenomenon that soil or rock mass on a slope is influenced by river scouring, underground water movement, earthquake, artificial slope cutting and other factors, and slides downwards along a certain weak surface or a weak belt integrally or dispersedly under the action of gravity.
Although the most intuitive representation is the movement of the soil body or the rock mass when the landslide body is landslided, the landslide body is not represented when the landslide body is deformed such as the movement of the soil body or the rock mass. Therefore, the application evaluates whether the landslide body has the landslide risk by judging whether the deformation data of the landslide body exceeds the dangerous threshold value, and can be regarded as the landslide body without the landslide risk when the deformation data of the landslide body is lower than the dangerous threshold value, and can be regarded as the landslide body to appear when the deformation data of the landslide body exceeds the dangerous threshold value, and people and equipment in the influence range of the landslide need to be evacuated.
Whether the landslide risk assessment result is accurate or not depends on whether the risk threshold is accurate or not. If the dangerous threshold value is set too high, the available early warning evacuation time is possibly insufficient, and even early warning is impossible, so that personnel and property loss is caused by landslide; if the dangerous threshold is set too low, frequent triggering of early warning can be caused, and although sufficient early warning evacuation time can be obtained, false early warning situations can be caused, namely, early warning is triggered under the condition that landslide risks do not exist.
In the water conservancy and hydropower construction process, the main reason of the landslide is groundwater activity, so that in the monitoring process, the supervision method provided by the application acquires the groundwater level data of the landslide body and sets the dangerous threshold value of the deformation data of the landslide body according to the groundwater level data, so that the dangerous threshold value is attached to the actual deformation condition of the landslide body, the accuracy of the landslide risk assessment result is improved, and further, the occurrence of an error early warning condition is avoided while the sufficient early warning evacuation time is obtained.
In hydraulic and hydroelectric construction and operation, there may be various risks, such as natural risks, technical risks and management risks. Natural risks include earthquakes, storms, floods, mountain floods, debris flows, geological disasters, and environmental pollution. Technical risks include design risks, construction risks, and operation risks. Management risks include personnel management, data management, and equipment management.
In this embodiment, the first sensors and the second sensors of a specific type, number and position are selected for each risk, and a specific corresponding risk threshold is set, by using the subset of the first sensors constructing the hub monitoring subsystem and the second sensors constructing the landslide body monitoring subsystem to form an early warning rule for each risk. The early warning rules of each risk are independently set. The early warning rules of different risks are different.
Preferably, the pre-warning rules are updated based on periodic and/or incident manual checks. Periodic manual checks are checks as described in the preceding paragraphs that are performed for a specified period. The incident manual inspection includes a randomly performed inspection or a manual inspection temporarily arranged according to a sudden accident such as a sudden weather change, a construction accident, etc. The checking also includes checking the operating status of the first sensor and the second sensor. The updating includes increasing or decreasing the number of sensors, altering the locations of the sensors, altering the risk threshold of each sensor.
Preferably, the pre-warning rules further comprise a manual inspection item on the basis of a subset of the first sensor and the second sensor. The manual inspection items are updated based on periodic and/or incident manual inspection. Manual inspection items include, but are not limited to, building inspection, environmental volume monitoring, stress strain and temperature monitoring, and flow rate monitoring as described in the preceding paragraphs.
Preferably, the supervision method provided in this embodiment further includes: establishing a first association curve of the ground water level of the landslide body and time; establishing a second correlation curve of deformation data of the landslide body and time; generating a third correlation curve for predicting the time correlation of the deformation data of the landslide body by using the first correlation curve; and updating the risk threshold value under the condition that the second association curve and the third association curve are different.
If the second correlation curve and the third correlation curve are not different, the fact that the deformation of the landslide body is the same as the expected situation is indicated, the influence of the underground water level change on the landslide is dominant absolutely, and the risk threshold value set according to the underground water level data can meet the landslide risk assessment requirement.
If the second association curve and the third association curve are different, the fact that the landslide is determined by the change of the underground water level and other factors at the moment is indicated, the dangerous threshold set according to the underground water level data is not suitable for landslide risk assessment any more, and the dangerous threshold needs to be reset.
Preferably, the supervision method provided in this embodiment further includes: acquiring personnel perception information and generating feedback records of the personnel perception information and time correlation; taking the first association curve, the second association curve, the third association curve and the feedback record as samples to perform machine learning to establish an analysis model; the analysis model gathers personnel perception information in preset time periods before and after a difference time point of the second association curve and the third association curve, and determines influence weights (forward direction, reverse direction and irrelevant) of various personnel perception information on landslide body deformation relative to the ground water level by combining the first association curve.
For example, when the person sensing information of "windup" appears, the deformation data of the landslide body exceeds the deformation data of the predicted landslide body, and when the person sensing information of "windup" appears, it means that the deformation of the landslide body is aggravated by the wind speed.
Preferably, the personnel sensing information comprises vibration sensed by personnel at a construction site, audible abnormal sound, observed falling rocks, and personnel sensing environmental changes such as temperature changes, humidity changes, wind speed changes, water flow changes and the like. The effect of various personnel perception information on landslide is different, and landslide is aggravated, and landslide is restrained and irrelevant.
Preferably, the learning model can reset the danger threshold according to the influence weight of various personnel perception information on the landslide body deformation relative to the groundwater level, so that landslide risk assessment can be smoothly carried out.
Preferably, the application can utilize a learning model for safety monitoring; and updating the danger threshold when the learning model acquires personnel perception information affecting the deformation of the landslide body.
Preferably, after determining the relation between various personnel perception information and the landslide body deformation, the learning model can establish a personnel perception information base affecting the landslide body, and in the process of monitoring the landslide body deformation, the mobile terminal inquires constructors to obtain personnel perception information so as to correct the danger threshold.
Preferably, after the personnel perception information affecting the landslide is determined through the learning model, the risk threshold can be corrected according to the personnel perception information when the landslide risk is evaluated, so that unified and standard safety supervision is realized, the influence of personal experience on the risk evaluation is eliminated as much as possible, the setting of the risk threshold in the landslide risk evaluation is more standard, the analysis model can be continuously updated along with the monitoring, the personal experience is quantized, a new person can get on hand more quickly, more monitoring items and types of monitoring data can be acquired, and the monitoring is more thorough.
Example 2
This embodiment is a further improvement of embodiment 1, and the repeated contents are not repeated.
The embodiment provides a hydraulic and hydroelectric engineering construction safety supervisory systems, include:
a hub monitoring subsystem comprising a plurality of first sensors; a landslide body monitoring subsystem comprising a plurality of second sensors; an early warning subsystem configured to construct an early warning rule for a single construction risk based on the subset of the first and second sensors; wherein the pre-warning subsystem is further configured to update the pre-warning rules based on periodic and/or incident manual inspection.
Preferably, the first sensor includes, but is not limited to, a water level sensor, a water temperature sensor, an air temperature sensor, a horizontal displacement sensor, a vertical displacement sensor, a slope deformation sensor, a pressure sensor, a flow rate sensor.
Preferably, the junction monitoring subsystem comprises a left-bank non-overflow dam section monitoring unit, a right-bank non-overflow dam section monitoring unit, an overflow dam section monitoring unit and a factory building dam section monitoring unit.
Preferably, the monitoring items of the hub monitoring subsystem include building monitoring, environmental volume monitoring, deformation monitoring, seepage monitoring, stress strain and temperature monitoring.
Preferably, the landslide monitoring subsystem comprises a groundwater level monitoring unit, a deformation monitoring unit, a stress strain and temperature monitoring unit. The stress strain and temperature monitoring unit comprises a reinforcing steel bar stress monitoring subunit, an anchor rope and anchor rod stress monitoring subunit, a concrete temperature monitoring subunit and a bedrock temperature monitoring subunit.
According to a specific embodiment, the construction safety supervision system further comprises a device monitoring subsystem. The equipment monitoring subsystem monitors real-time construction information of construction equipment, including type, construction position and construction progress information of the construction equipment.
According to a specific embodiment, the construction safety supervision system further comprises a personnel monitoring subsystem. The personnel monitoring subsystem monitors construction information fed back by constructors in real time, and comprises positions of the constructors, construction progress and feedback information related to construction, safety risks and environments and described in natural language.
Example 3
This embodiment is a further modification of embodiments 1 and 2, and the repeated description is omitted.
The embodiment provides another water conservancy and hydropower engineering construction safety supervision system. Referring to fig. 2, the supervisory system includes: a monitoring unit 110, a processing unit 120 and a mobile terminal 130 worn by the constructor. And the monitoring unit 110 is used for acquiring the deformation data of the landslide body and the groundwater level data of the landslide body. The processing unit 120 is configured to set a risk threshold of the deformation data according to the groundwater level data, and evaluate whether the landslide body has a landslide risk by comparing whether the deformation data of the landslide body exceeds the risk threshold, and send a warning message to the mobile terminal 130 to remind constructors to evacuate if the landslide body has a risk. The mobile terminal 130 is also capable of transmitting 120 personal awareness information to the processing unit.
Referring to fig. 3, the monitoring unit 110 arranges at least two monitoring sections on the landslide body along the estimated sliding direction, and each monitoring section includes at least two first deformation monitoring points for deep deformation of the landslide body. And a water level monitoring point is arranged below the first deformation observation point. Preferably, the landslide body surface is also provided with a plurality of second deformation monitoring points. Preferably, the first deformation monitoring point is provided with a deformation data acquisition terminal 111, and the water level monitoring point is provided with a water level data acquisition terminal 112. The deformation data acquisition terminal 111 and the water level data acquisition terminal 112 are wirelessly connected with the processing unit 120 and transmit the deformation data of the landslide body and the groundwater level data of the landslide body to the processing unit in real time.
The processing unit 120 at least includes an analysis module and a storage module, where the analysis module uses the deformation data of the historical landslide body and the groundwater level data of the historical landslide body as samples to perform analysis model generated by machine learning to evaluate whether the landslide body has landslide risk. The analysis model sets a risk threshold of the deformation data of the landslide body based on the deformation data and the groundwater level data acquired by the monitoring unit 110 and predicts the deformation data of the landslide body based on the change of the groundwater level data, and the analysis module updates the risk threshold in the case where the deformation data of the landslide body is different from the predicted deformation data of the landslide body. The storage module is capable of generating a log of operations performed in time sequence with respect to data received by the processing unit.
The analysis module performs machine learning by using the running log generated by the storage module to update the analysis model; the analysis model can perform machine learning on personnel perception information and underground water level data in a preset time period before and after a difference time point of deformation data of the landslide body and deformation data of the predicted landslide body so as to determine influence weights (forward direction, reverse direction and irrelevant) of various personnel perception information on the deformation of the landslide body relative to the underground water level. Specifically, the analysis model can determine whether the personnel feel that the information aggravates the deformation of the landslide body, inhibits the deformation of the landslide body or is irrelevant to the deformation of the landslide body through machine learning of the operation log of the management system.
The analysis module can acquire personnel perception information of constructors through the mobile terminal 130 in the process of monitoring the deformation of the landslide body; when personnel perception information affecting the deformation of the landslide body is obtained, the dangerous threshold value is corrected by an analysis model in the analysis module.
It should be noted that the above-described embodiments are exemplary, and that a person skilled in the art, in light of the present disclosure, may devise various solutions that fall within the scope of the present disclosure and fall within the scope of the present disclosure. It should be understood by those skilled in the art that the present description and drawings are illustrative and not limiting to the claims. The scope of the invention is defined by the claims and their equivalents. Throughout this document, the word "preferably" is used in a generic sense to mean only one alternative, and not to be construed as necessarily required, so that the applicant reserves the right to forego or delete the relevant preferred feature at any time. The description of the invention includes a plurality of inventive concepts, such as "preferably", "according to a preferred embodiment" or "optionally" each meaning that the corresponding paragraph discloses a separate concept, the applicant reserves the right to filed a divisional application according to each inventive concept.
Claims (10)
1. The method for supervising the construction safety of the hydraulic and hydroelectric engineering is characterized by comprising the following steps of:
constructing a hub monitoring subsystem comprising a plurality of first sensors in a dam hub area;
constructing a landslide body monitoring subsystem comprising a plurality of second sensors in a landslide body area;
constructing an early warning rule for construction risks based on the subset of the first sensor and the second sensor;
the pre-warning rules are updated based on periodic and/or incident manual checks.
2. The method for supervising the construction safety of the hydraulic and hydroelectric engineering according to claim 1, wherein,
constructing an early warning rule for construction risk based on the subset of the first sensor and the second sensor includes:
classifying the construction risks;
and establishing a causal relation between the construction risk and information of the first sensor and the second sensor aiming at the construction risk of each category, wherein the information at least comprises the type, the position, the monitoring value and the early warning threshold value of the first sensor, and the type, the position, the detection value and the early warning threshold value of the second sensor.
3. The method according to claim 1 or 2, wherein updating the pre-warning rules based on periodic and/or incident manual inspection comprises:
Adjusting the positions of the first sensor and the second sensor and/or the early warning threshold value,
either the first sensor or the second sensor associated with a particular class of construction risk is increased or decreased.
4. A method of supervising the construction safety of a hydraulic and hydroelectric engineering according to any one of claims 1 to 3, wherein the method further comprises:
and generating a predicted value of the construction risk based on the early warning rule and real-time construction information fed back by construction equipment and constructors, and sending early warning based on the predicted value of the construction risk.
5. The method for supervising the construction safety of hydraulic and hydroelectric engineering according to any one of claims 1 to 4, further comprising:
judging whether the variation of the monitoring values of the first sensor and the second sensor is consistent with the real-time construction information fed back by construction equipment and construction personnel,
and when the variation of the monitoring values of the first sensor and the second sensor is inconsistent with the real-time construction information fed back by construction equipment and construction personnel, updating the early warning rule or sending out early warning.
6. The method according to any one of claims 1 to 5, wherein the influence weight of the real-time construction information fed back by the constructor is set in association with the constructor's history, work experience and current state.
7. A hydraulic and hydroelectric engineering construction safety supervision system, the system comprising:
a hub monitoring subsystem comprising a plurality of first sensors;
a landslide body monitoring subsystem comprising a plurality of second sensors;
an early warning subsystem configured to construct an early warning rule for a single construction risk based on the subset of the first and second sensors;
wherein the pre-warning subsystem is further configured to update the pre-warning rules based on periodic and/or incident manual inspection.
8. The system of claim 7, wherein the hub monitoring subsystem comprises a left-bank non-overflow dam segment monitoring unit, a right-bank non-overflow dam segment monitoring unit, an overflow dam segment monitoring unit, and a plant dam segment monitoring unit.
9. The system of claim 7 or 8, wherein the monitoring items of the hub monitoring subsystem include building monitoring, environmental monitoring, deformation monitoring, seepage monitoring, stress strain and temperature monitoring.
10. The system according to any one of claims 7 to 9, wherein the first sensor includes, but is not limited to, a water level sensor, a water temperature sensor, an air temperature sensor, a horizontal displacement sensor, a vertical displacement sensor, a slope deformation sensor, a pressure sensor, and a flow rate sensor.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311060934.XA CN116993163A (en) | 2023-08-22 | 2023-08-22 | Water conservancy and hydropower engineering construction safety supervision system and method |
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| CN202311060934.XA CN116993163A (en) | 2023-08-22 | 2023-08-22 | Water conservancy and hydropower engineering construction safety supervision system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117688659A (en) * | 2024-02-04 | 2024-03-12 | 四川省内江水利电力勘察设计院有限公司 | Seepage risk prediction method for deep coverage dam foundation diaphragm wall of reservoir dam |
| CN118313672A (en) * | 2024-06-07 | 2024-07-09 | 中铁水利信息科技有限公司 | Intelligent water conservancy intelligent monitoring system based on multisource data fusion |
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2023
- 2023-08-22 CN CN202311060934.XA patent/CN116993163A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117688659A (en) * | 2024-02-04 | 2024-03-12 | 四川省内江水利电力勘察设计院有限公司 | Seepage risk prediction method for deep coverage dam foundation diaphragm wall of reservoir dam |
| CN117688659B (en) * | 2024-02-04 | 2024-04-12 | 四川省内江水利电力勘察设计院有限公司 | Seepage risk prediction method for deep coverage dam foundation diaphragm wall of reservoir dam |
| CN118313672A (en) * | 2024-06-07 | 2024-07-09 | 中铁水利信息科技有限公司 | Intelligent water conservancy intelligent monitoring system based on multisource data fusion |
| CN118313672B (en) * | 2024-06-07 | 2024-09-17 | 中铁水利信息科技有限公司 | Intelligent water conservancy intelligent monitoring system based on multisource data fusion |
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