Method and system for determining stability of tower pole

Abstract

The invention discloses a method and a system for determining the stability of a tower pole. The method comprises the steps that environmental data of a to-be-monitored area is acquired from a satellite, and at least one tower rod used for supporting a cable line is deployed in the to-be-monitored area; based on the environment data, the stability of the tower pole is pre-judged, a pre-judgment result is obtained, and the pre-judgment result is used for representing whether the probability that the stability is smaller than a stability threshold value is larger than a probability threshold value or not; in response to the pre-judgment result that the probability is greater than a probability threshold value, obtaining attitude data of the tower pole at the current moment; and determining the current stability of the tower pole based on the attitude data. The technical problem that the efficiency of determining the stability of the tower pole is low is solved.

Description

Technical Field

[0001] The present invention relates to the field of power systems, and in particular to a method and system for determining the stability of a tower. Background Art

[0002] At present, electricity is transmitted through the power grid. The corresponding towers are installed to support the transmission cables and then transmit the electricity to the required terminals. If the tilt of the tower is not discovered in time, it will cause the cable to break and leak electricity, or even the interruption of the entire power grid. At the same time, it may also cause fires, etc. Therefore, the towers need to be inspected regularly.

[0003] In the related art, the inspection of the tower pole is usually carried out manually by regularly arriving at the site for inspection. However, the inspection of the tower pole is affected by human factors and external factors, and there is a technical problem of low efficiency in determining the stability of the tower pole.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide a method and system for determining the stability of a tower pole, so as to at least solve the technical problem of low efficiency in determining the stability of a tower pole.

[0006] According to one aspect of an embodiment of the present invention, a method for determining the stability of a tower is provided, and the method may include: acquiring environmental data of an area to be monitored from a satellite, wherein at least one tower for supporting a cable line is deployed in the area to be monitored; based on the environmental data, predicting the stability of the tower to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than a stability threshold is greater than a probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, acquiring attitude data of the tower at a current moment; and determining the current stability of the tower based on the attitude data.

[0007] Optionally, based on the environmental data, the stability of the tower is predicted to obtain a prediction result, including: inputting the environmental data into a risk identification model for identification to obtain the similarity between the environmental data and historical environmental data under historical abnormal conditions; and determining the prediction result corresponding to the similarity.

[0008] Optionally, determining a prediction result corresponding to the recognition result includes: in response to the similarity being greater than a similarity threshold, determining the prediction result as a probability greater than a probability threshold; in response to the similarity being less than or equal to the similarity threshold, determining the prediction result as a probability less than or equal to the probability threshold.

[0009] Optionally, based on the environmental data, the stability of the tower is predicted to obtain a prediction result, including: matching the standard environmental data with the environmental data to obtain a matching result, wherein the stability corresponding to the tower under the standard environmental data is less than a stability threshold; in response to the matching result being the similarity between the standard environmental data and the environmental data being greater than a similarity threshold, determining that the prediction result is a probability greater than a probability threshold; in response to the matching result being the similarity between the standard environmental data and the environmental data being less than or equal to a similarity threshold, determining that the prediction result is a probability less than or equal to a probability threshold.

[0010] Optionally, in response to the prediction result being that the probability is greater than a probability threshold, obtaining the attitude data of the tower at the current moment includes: in response to the prediction result being that the probability is greater than the probability threshold, controlling the satellite to send a data collection instruction; obtaining the attitude data collected by the sensor in the tower in response to the data collection instruction.

[0011] Optionally, the method may further include: in response to the current stability being less than a stability threshold, determining that abnormal information exists on the tower; and in response to the abnormal information existing on the tower, outputting prompt information.

[0012] Optionally, the method may also include: determining at least one area where at least one tower is deployed; in the at least one area, determining a target area set, wherein the geology of the target area in the target area set is abnormal geology; merging multiple target areas with the same abnormal geology in the target area set to obtain at least one merged area; and determining the merged area as the area to be monitored.

[0013] According to another aspect of an embodiment of the present invention, a system for determining the stability of a tower is also provided, which system may include: a first monitoring device, used to collect environmental information of an area to be monitored, and transmit the environmental information to a satellite through a satellite communication module, wherein at least one tower for supporting a cable line is deployed in the area to be monitored; a second monitoring device, deployed on the tower, used to obtain attitude data of the tower at a current moment, and upload the attitude data to a satellite; a ground-end device, used to obtain environmental data from a satellite; based on the environmental data, predicting the stability of the tower to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than a stability threshold is greater than a probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, obtaining attitude data from the satellite; and determining the current stability of the tower based on the attitude data.

[0014] Optionally, the system may further include: a third monitoring device, configured to capture image data and / or video data of the tower.

[0015] Optionally, the ground-end device is used to re-determine the current stability based on the image data and / or video data in response to the current stability being less than a stability threshold.

[0016] According to another aspect of an embodiment of the present invention, a device for determining the stability of a tower is also provided, and the device may include: a first acquisition unit, used to acquire environmental data of an area to be monitored from a satellite, wherein at least one tower for supporting a cable line is deployed in the area to be monitored; a prejudgment unit, used to prejudge the stability of the tower based on the environmental data, and obtain a prejudgment result, wherein the prejudgment result is used to characterize whether the probability that the stability is less than a stability threshold is greater than a probability threshold; a second acquisition unit, used to acquire the posture data of the tower at a current moment in response to the prejudgment result being that the probability is greater than the probability threshold; and a determination unit, used to determine the current stability of the tower based on the posture data.

[0017] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the method for determining the stability of the tower pole of an embodiment of the present invention.

[0018] According to another aspect of an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run by the processor, the method for determining the stability of a tower pole according to an embodiment of the present invention is executed.

[0019] According to another aspect of an embodiment of the present invention, a program product is further provided. The program product includes computer instructions. When the computer instructions are executed by a processor, the method for determining the stability of a tower pole according to an embodiment of the present invention is implemented.

[0020] In an embodiment of the present invention, environmental data of an area to be monitored is obtained from a satellite, wherein at least one tower for supporting a cable line is deployed in the area to be monitored; based on the environmental data, the stability of the tower is pre-judged to obtain a pre-judgment result, wherein the pre-judgment result is used to characterize whether the probability that the stability is less than the stability threshold is greater than the probability threshold; in response to the pre-judgment result being that the probability is greater than the probability threshold, the attitude data of the tower at the current moment is obtained; based on the attitude data, the current stability of the tower is determined. That is, in an embodiment of the present invention, remote real-time monitoring of the stability of the tower is achieved by combining with a satellite, which may include: obtaining environmental data of the area to be monitored, and based on the environmental data, first pre-judgment of the stability of the tower to obtain a pre-judgment result, if the pre-judgment result is that the probability that the stability is less than the stability threshold is greater than the probability threshold, it can be determined that the tower has a risk of instability, and then the tower can be further determined based on the attitude data of the tower at the current moment to determine the actual current stability of the tower, thereby solving the technical problem of low efficiency in determining the stability of the tower and achieving the technical effect of improving the efficiency of determining the stability of the tower. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0022] Figure 1 is a flow chart of a method for determining stability of a tower according to an embodiment of the present invention;

[0023] Figure 2 is a flow chart of a satellite-based power grid tower stability monitoring method according to an embodiment of the present invention;

[0024] Figure 3 is a schematic diagram of a system for determining stability of a tower pole according to an embodiment of the present invention;

[0025] Figure 4 is a schematic diagram of a device for determining the stability of a tower pole according to an embodiment of the present invention;

[0026] Figure 5 is a structural block diagram of a computer terminal according to an embodiment of the present invention;

[0027] Figure 6 The present invention is a block diagram of an electronic device for determining the stability of a tower pole according to an embodiment of the present application. DETAILED DESCRIPTION

[0028] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0029] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0030] According to an embodiment of the present invention, an embodiment of a method for determining the stability of a tower is provided. The steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0031] In this embodiment, a method for determining the stability of a tower is proposed. The method can be combined with a satellite to realize remote real-time monitoring of the stability of the tower, and can include: acquiring environmental data of the area to be monitored, and based on the environmental data, first predicting the stability of the tower to obtain a prediction result. If the prediction result is that the probability that the stability is less than a stability threshold is greater than a probability threshold, it can be determined that there is a risk of instability in the tower. Then, based on the posture data of the tower at the current moment, the tower can be further determined to determine the actual current stability of the tower, thereby solving the technical problem of low efficiency in determining the stability of the tower and achieving the technical effect of improving the efficiency of determining the stability of the tower.

[0032] Figure 1 FIG. 1 is a flow chart of a method for determining the stability of a tower pole according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0033] Step S102, obtaining environmental data of the area to be monitored from a satellite, wherein at least one tower pole for supporting a cable line is deployed in the area to be monitored.

[0034] In the technical solution provided in the above step S102 of the present invention, at least one tower for supporting the cable line may be deployed in the above-mentioned monitored area, which may be an area where the stability of the tower needs to be monitored, or an unfavorable geological area through which the transmission line passes, for example, it may be an unfavorable geological area such as a coal mining area, soft soil area, hillside area, desert area, riverbed area, etc. through which the transmission line passes. It should be noted that this is only an example, and there is no specific limitation on the type of the above-mentioned monitored area.

[0035] Optionally, the tower pole may also be a fixed pole. It should be noted that the stability of the support poles used to support the power transmission lines can be determined by the above method.

[0036] Optionally, the cable line may be a power transmission line. The environmental data may be for the first monitoring area, and may include meteorological data, soil data, water level data, displacement data, etc. The meteorological data may include data such as wind speed, wind direction, rainfall, temperature, humidity, etc. It should be noted that this is only for illustrative purposes, and there is no specific limitation on the types of environmental data and meteorological data.

[0037] For example, the first monitoring data may be obtained by installing a first monitoring device in the area to be monitored. The first monitoring device may include but is not limited to the following devices: humidity sensor, water level sensor, wind speed sensor, wind vane, displacement sensor, temperature sensor and other sensors. At the same time, each of the above devices may be installed in a corresponding position according to the requirements of the data measured, and one or more of each device may be installed according to the requirements and the setting of the monitoring point. There is no specific restriction on the installation position and number of the above sensors.

[0038] Optionally, the first monitoring device may further include a first local transfer device and a satellite communication module, wherein the first local transfer device is connected to a humidity sensor, a water level sensor, a wind speed sensor, a wind vane, a displacement sensor, and a temperature sensor. The first local transfer device is connected to satellite communication via a satellite communication module, and is used to uniformly collect data from various sensors and then forward the data to the ground-end device via a satellite. That is, in this embodiment, the first monitoring device is used to collect environmental data, and the environmental data is uploaded to the satellite via a satellite communication module. When it is necessary to judge the stability of the tower, the ground-end device can obtain the environmental data collected by the sensor from the satellite.

[0039] Optionally, the area to be monitored may be a specific geographical area where the power grid tower is located, such as a coal mining area, a soft soil area, a hillside, a desert area, a riverbed area, and other unfavorable geological areas. The above environmental data may include, but are not limited to, meteorological data (such as wind speed, wind direction, rainfall, temperature, humidity, etc.), soil data (such as soil moisture, temperature, pressure, etc.), water level data, and displacement data. The above environmental data may be collected by a first monitoring device deployed in the area to be monitored, and then uploaded to a satellite through a satellite communication module, and the satellite then forwards the data to a ground monitoring system.

[0040] Step S104, based on the environmental data, the stability of the tower is predicted to obtain a prediction result, wherein the prediction result is used to indicate whether the probability that the stability is less than the stability threshold is greater than the probability threshold.

[0041] In the technical solution provided in the above step S104 of the present invention, the above pre-judgment result can be a preliminary judgment on the stability of the tower based on the environmental data, which can be used to determine whether the probability that the stability is less than the stability threshold is greater than the probability threshold. The above stability can be used to characterize the stability of the tower, that is, the higher the stability, the higher the stability of the tower, and vice versa, the lower the stability, the lower the stability of the tower. The above stability threshold can be a pre-set value, or a value determined by experiments or tests, and the size of the stability threshold is not specifically limited here.

[0042] Optionally, environmental data can be used to preliminarily predict the stability of the tower. For example, under certain wind speeds and directions, the tower may shift. Similarly, when the amount of rainfall exceeds a certain value, the soil becomes loose and the tower may shift or even tilt. Therefore, by judging the wind speed, wind direction, and rainfall in the environmental data, it is possible to preliminarily determine the possibility that the tower may easily tilt.

[0043] Step S106, in response to the prediction result that the probability is greater than the probability threshold, obtaining the posture data of the tower at the current moment.

[0044] In the technical solution provided in the above step S106 of the present invention, a prediction result is obtained. If the prediction result is used to characterize that the probability is greater than the probability threshold, the posture data of the tower at the current moment can be obtained, and the actual situation of the tower can be further determined using the posture data. Among them, the above posture data can be the second monitoring data, which can be used to determine the state of the tower, and can include the inclination angle of the tower, whether the tower is horizontal, the torque of the tower, the angle between each fixed rod of the tower and the ground, the tension of each fixed rod of the tower, the data of the three-axis gyroscope of the fixed rod of the tower, the center of gravity height of the tower, etc. It should be noted that this is only for example, and there is no specific limitation on the type of posture data.

[0045] Optionally, if the prediction result is that the probability is greater than the probability threshold, it can be determined based on the environmental data that the tower is at risk of tilting. Therefore, the posture data of the tower at the current moment can be obtained to further determine the actual stability of the tower, thereby achieving the technical effect of improving the accuracy of judging the stability of the tower and solving the technical problem of low accuracy in judging the stability of the tower.

[0046] For example, in response to the prediction result that the probability is greater than the probability threshold, the second monitoring device can be controlled, such as an inclination sensor, a level, a torque sensor, an angle sensor, a grating sensor, a strain tension sensor, a three-axis gyroscope sensor and other equipment to collect the posture data at the current moment.

[0047] Step S108, determining the current stability of the tower based on the posture data.

[0048] In the technical solution provided in the above step S108 of the present invention, the current stability of the tower pole can be determined based on the above posture data.

[0049] Optionally, after receiving the posture data of the tower, the ground monitoring system can judge the posture data to determine the current stability of the tower. For example, under normal circumstances, the inclination angle of the tower should fluctuate within a certain range. Exceeding this range may mean that the tower is tilted or unstable. By comparing the posture data at the current moment with the posture data within the normal range, it can be determined whether the current stability of the tower is lower than the stability threshold, thereby determining whether there is an abnormality with the tower. It should be noted that the above-mentioned method of judging the posture data is only an example, and no specific limitation is made here. You can choose a suitable judgment method according to the actual situation. As long as it is a method of determining the current stability of the tower based on posture data, it should be within the scope of protection of this application.

[0050] For example, suppose a tower is in a coal mining area. Environmental data monitored by satellites show that the area has had continuous heavy rains recently, the soil moisture is extremely high, and there are strong winds exceeding 12 meters per second. Based on these environmental data, through the risk identification model, it can be calculated that the probability that the stability of the tower is lower than the threshold is 60%, which exceeds the preset probability threshold of 50%. Therefore, the second monitoring device on the tower can be commanded by satellite to collect real-time attitude data. For example, the inclination sensor shows that the inclination of the tower is 3 degrees, which exceeds the normal range of 1.5 degrees. This indicates that the stability of the tower has decreased and there are safety hazards. At this time, the ground monitoring system can generate a tower maintenance notice and promptly notify the maintenance personnel to conduct on-site inspections and maintenance to prevent more serious accidents.

[0051] At present, electricity is transmitted through the power grid. The corresponding towers or fixed poles are installed to support the transmission cables and then transmit the electricity to the required terminals. If the tilt of the tower or fixed pole is not discovered in time, it will cause the cable to break and leak electricity, or even the interruption of the entire power grid, and may also cause fire, etc. Therefore, it is necessary to regularly inspect the tower or fixed pole.

[0052] In the related art, inspections are mainly carried out manually on site at regular intervals. However, the inspection of power grid towers is affected by human and external factors, resulting in failure to conduct timely inspections, which affects the operation of the power grid. Therefore, this method has high inspection costs, high risks, and untimely inspections, and there is a technical problem of low efficiency in determining tower stability.

[0053] To solve the above problems, in this embodiment, remote monitoring of the stability of towers in the power grid is achieved by combining satellites, so that abnormal towers can be discovered in a timely and accurate manner, and abnormal towers can be repaired in a timely manner to ensure the safe operation of the power grid, thereby solving the problems of high cost, high risk and untimely manual inspection in the prior art.

[0054] Optionally, this embodiment brings together multiple tower poles in the same area, first determines whether there may be abnormalities in the tower poles in the monitored area based on the first monitoring data, that is, the environmental data in the monitored area, and then further acquires the posture data of each tower pole in the monitored area, so as to monitor the stability (also called stability) of each tower pole individually, thereby realizing automatic monitoring of the stability of tower poles in poor geological areas. The stability of the tower poles can be monitored without the need for manual labor to arrive at the site directly, thereby reducing labor costs, improving monitoring accuracy, and reducing operational risks for operators.

[0055] Through the above steps S102 and S108 of the present invention, environmental data of the area to be monitored is obtained from the satellite, wherein at least one tower for supporting the cable line is deployed in the area to be monitored; based on the environmental data, the stability of the tower is pre-judged to obtain a pre-judgment result, wherein the pre-judgment result is used to characterize whether the probability that the stability is less than the stability threshold is greater than the probability threshold; in response to the pre-judgment result being that the probability is greater than the probability threshold, the attitude data of the tower at the current moment is obtained; based on the attitude data, the current stability of the tower is determined. That is, in an embodiment of the present invention, remote real-time monitoring of the stability of the tower is achieved by combining with a satellite, which may include: obtaining environmental data of the area to be monitored, based on the environmental data, pre-judging the stability of the tower first, obtaining a pre-judgment result, if the pre-judgment result is that the probability that the stability is less than the stability threshold is greater than the probability threshold, it can be determined that the tower has a risk of instability, then the tower can be further determined based on the attitude data of the tower at the current moment to determine the actual current stability of the tower, thereby solving the technical problem of low efficiency in determining the stability of the tower and achieving the technical effect of improving the efficiency of determining the stability of the tower.

[0056] The above method of this embodiment is further introduced below.

[0057] As an optional implementation, step S104 predicts the stability of the tower based on the environmental data to obtain a prediction result, including: inputting the environmental data into a risk identification model for identification to obtain the similarity between the environmental data and historical environmental data under historical abnormal conditions; and determining the prediction result corresponding to the similarity.

[0058] In this embodiment, the stability of the tower can be predicted by using a risk identification model. The risk identification model can be a pre-constructed model, a neural network model, or a model trained based on historical environmental data. The historical environmental data can be the first monitoring data corresponding to each abnormality of several towers in the monitored area in history. It should be noted that this is only an example, and there is no specific limitation on the type and construction method of the risk identification model.

[0059] Optionally, a risk identification model is called to process the environmental data to obtain an identification result, which can be used to characterize the similarity between the environmental data and historical environmental data under historical abnormal conditions. Further, a prediction result corresponding to the identification result can be determined, that is, a prediction result corresponding to the similarity can be determined.

[0060] Optionally, the environmental data is input into a risk identification model, and the risk identification model is called to judge the environmental data based on the historical environmental data to obtain the similarity between the environmental data and the historical environmental data. Based on the similarity, the corresponding prediction result can be determined.

[0061] The following further describes how to determine the prediction result corresponding to the recognition result.

[0062] As an optional implementation, determining a prediction result corresponding to the recognition result includes: in response to the similarity being greater than a similarity threshold, determining that the prediction result is a probability greater than a probability threshold; in response to the similarity being less than or equal to the similarity threshold, determining that the prediction result is a probability less than or equal to the probability threshold.

[0063] In this embodiment, if the similarity is greater than the similarity threshold, the prediction result can be determined as a probability greater than the probability threshold; if the similarity is less than or equal to the similarity threshold, the prediction result can be determined as a probability less than or equal to the probability threshold.

[0064] Optionally, after obtaining the recognition result, if the recognition result is used to characterize that the similarity between the historical environmental data and the environmental data is greater than the similarity threshold, it can be determined that the pre-judgment result is a probability greater than the probability threshold, that is, the probability that the tower is tilted is large. If the recognition result is used to characterize that the similarity between the historical environmental data and the environmental data is less than or equal to the similarity threshold, it can be determined that the pre-judgment result is a probability less than or equal to the probability threshold, that is, the probability that the tower is tilted is small.

[0065] Optionally, the similarity threshold and probability threshold may be pre-set values, or values ​​set according to tests or experiments. It should be noted that the method for determining the similarity threshold and the probability threshold is not specifically limited here.

[0066] In this embodiment, the first monitoring data of the area to be monitored can be matched with the risk identification model constructed in the system to determine whether there is an abnormality in the tower in the area to be monitored. If so, the posture data of the tower at the current moment is obtained; if not, the environmental data of the area to be monitored is re-acquired to re-monitor the area to be monitored, or the environmental data of other areas to be monitored can be obtained to monitor the towers in other areas to be monitored.

[0067] Optionally, historical environmental data can be obtained by collecting the first monitoring data corresponding to each abnormality of several towers in the monitored area in history, and a risk identification model can be constructed using the historical environmental data. For example, a data set can be constructed by collecting the above-mentioned first monitoring data, and then model training can be performed when an abnormality occurs in a tower in the monitored area to obtain a matching relationship between the abnormality of the tower in the monitored area and the first monitoring data, so that by obtaining the first monitoring data in the monitored area in real time, a pre-judgment result of whether an abnormality occurs in the tower in the monitored area can be matched. Once it is determined that an abnormality may occur in the tower in the monitored area, the posture data of the tower at the current moment can be obtained in time to complete a further judgment on the stability of the tower.

[0068] As an optional implementation, step S104, based on the environmental data, predicts the stability of the tower to obtain a prediction result, including: matching the standard environmental data with the environmental data to obtain a matching result, wherein the stability corresponding to the tower under the standard environmental data is less than a stability threshold; in response to the matching result being the similarity between the standard environmental data and the environmental data being greater than the similarity threshold, determining that the prediction result is a probability greater than a probability threshold; in response to the matching result being the similarity between the standard environmental data and the environmental data being less than or equal to the similarity threshold, determining that the prediction result is a probability less than or equal to the probability threshold.

[0069] In this embodiment, in addition to using the risk identification model to determine the prediction result, the environmental data can also be judged using standard environmental data to determine the prediction result.

[0070] Optionally, the above-mentioned standard environmental data can be data obtained in advance based on tests, experience or experiments, and can include pre-set wind speed, soil temperature, water level and other data. Under the standard ambient temperature, the tower is prone to tilt, that is, under the standard ambient temperature, the stability corresponding to the tower is less than the stability threshold. Therefore, after obtaining the ambient temperature, the standard environmental data and the environmental data can be matched to obtain a matching result. If the matching result is that the similarity between the standard environmental data and the environmental data is greater than the similarity threshold, it can be determined that the predicted result is that the probability of the tower tilting is large, that is, the predicted result is that the probability is greater than the probability threshold. If the matching result is that the similarity between the standard environmental data and the environmental data is less than or equal to the similarity threshold, it can be determined that the predicted result is that the probability of the tower tilting is small, that is, the predicted result is that the probability is less than or equal to the probability threshold.

[0071] For example, it can be determined in advance that the tower may be offset under certain wind speed and wind direction. Therefore, the wind speed and wind direction can be standard environmental data, and the data can be matched with the environmental data to obtain a matching result. Or it can be determined in advance that when the amount of rain exceeds a certain value, the soil will be loosened, and the tower will also be offset or even tilted. Therefore, the amount of rain can be standard environmental data, and the standard environmental data can be matched with the environmental data to obtain a matching result. Or soil data can include soil moisture, soil temperature, soil pressure, etc. When the soil is loose, the tower cannot be fixed and is easy to tilt. Therefore, the soil moisture, soil temperature, and soil pressure can be used as identification environmental data to match with the environmental data. Water level data includes the water level in the area to be monitored. Similarly, when the water level at the location of the tower is at a high water level for a long time, it will also affect the stability of the tower. Therefore, the water level information corresponding to the high water level can be determined as standard environmental data to match the water level information in the standard environmental data and the environmental data.

[0072] Optionally, the displacement data in the environmental data may refer to the displacement of the soil in the area to be monitored. For example, when a mudslide or landslide occurs, the soil on the soil surface will move.

[0073] In this embodiment, environmental data in a monitored area is collected and combined with standard environmental data to predict whether there may be abnormalities in the towers in the monitored area, so that subsequent measures can be taken.

[0074] As an optional implementation, in response to the prediction result that the probability is greater than the probability threshold, the attitude data of the tower at the current moment is obtained, including: in response to the prediction result that the probability is greater than the probability threshold, controlling the satellite to send a data collection instruction; obtaining the attitude data collected by the sensor in the tower in response to the data collection instruction.

[0075] In this embodiment, if the prediction result is that the stability of the tower is greater than the probability of the stability threshold, which is greater than the probability threshold, it can be determined that the tower is likely to be tilted. In order to improve the accuracy of the tower judgment, a satellite can be used to send data collection instructions to the sensor deployed on the tower to control the sensor to collect attitude data. Among them, the above-mentioned sensor can be an inclination sensor, a level, a torque sensor, an angle sensor, a grating sensor, a strain tension sensor, a three-axis gyroscope sensor, etc. It should be noted that this is only an example, and there is no specific limitation on the type of sensor.

[0076] Optionally, if the prediction result is that the probability is greater than the probability threshold, a data collection instruction may be sent to the second monitoring device of each tower in the monitored area via a satellite, so as to obtain the second monitoring data of each tower via the second monitoring device.

[0077] Optionally, when it is preliminarily determined that the towers in the monitored area may be abnormal, the satellite can be controlled to send a data acquisition instruction to the second monitoring device of each tower, and the data acquisition instruction can be used to instruct to obtain the second monitoring data (that is, attitude data) of each tower. Based on the second monitoring data, it can be accurately determined whether the stability of each tower is abnormal. The second monitoring data can be relevant data for monitoring the stability of the tower to be monitored, and can include the attitude data of the tower.

[0078] Optionally, each tower pole may be provided with a corresponding second monitoring device, through which the second monitoring data may be obtained. The second monitoring device includes, but is not limited to: an inclination sensor, a level, a torque sensor, an angle sensor, a grating sensor, a strain tension sensor, a three-axis gyroscope sensor, etc. For example, the inclination angle of the monitoring point may be measured by the inclination sensor, the angle sensor may be installed on the fixed pole to measure the angle between the fixed pole and the ground; the three-axis gyroscope may be installed on the tower pole to measure the acceleration change of the monitoring point in the three directions of x, y, and z, etc.

[0079] As an optional implementation, the method may further include: in response to the current stability being less than a stability threshold, determining that abnormal information exists on the tower; and in response to the abnormal information existing on the tower, outputting prompt information.

[0080] In this embodiment, after determining the current stability of the tower, it is determined whether the current stability is less than the stability threshold. If the current stability is less than the stability threshold, it can be determined that the tower is abnormal (or it can be determined that the tower has abnormal information), that is, the tower may be in a tilted state. Further, in response to the abnormality of the tower, a prompt message can be issued. The prompt message can be multimodal information such as text information and voice information, and can be information such as messages sent by the client. It should be noted that this is only an example, and the type of prompt message is not specifically limited.

[0081] Optionally, the acquired second monitoring data (that is, attitude data) of each tower pole is analyzed, and it can be determined whether the stability of each tower pole is abnormal according to the pre-set early warning rule conditions in the system. Among them, the pre-set early warning rule conditions can be early warning conditions summarized by engineers based on historical experience. For example, the second monitoring data obtained by the sensor installed on the tower pole to be monitored under normal circumstances all have an initial value. At the same time, when the tower pole to be monitored is in an abnormal situation, the second monitoring data will exceed a certain threshold range. Therefore, by comparing the matching comparison of multiple second monitoring data with the set initial value and threshold range, it can be determined whether the tower pole to be monitored is abnormal. It should be noted that the setting of the early warning rule conditions is not limited to the matching comparison by setting the threshold range as pointed out above, and it can also be set according to actual needs. For example, the data range corresponding to the second monitoring data of the tower pole to be monitored when the tower pole is abnormal is summarized from historical experience. Once matched, it can also be considered that the stability of the tower pole is abnormal. As long as it is based on attitude data, the method of determining the stability of the tower pole should be within the scope of protection of this application, and no specific restrictions are made here.

[0082] Optionally, the stability of the tower pole can also be judged by setting a variety of indicators. For example, for each parameter indicator in the second monitoring data of the tower pole obtained, multiple threshold ranges can be set, and each threshold corresponds to a score. After obtaining the second monitoring data of each tower pole, the value of each parameter indicator in the second monitoring data can be matched and compared with the threshold range of the corresponding parameter indicator, and then the score of each parameter indicator can be obtained. Then, the final score of each tower pole is calculated by weighted average, and the stability of the tower pole is judged according to the final score. The specific parameters of the weighted average can be set according to experience based on actual needs.

[0083] In this embodiment, if the current stability is less than the stability threshold, it can be determined that the tower is abnormal. When the corresponding tower is detected to be abnormal, a tower maintenance notice (ie, prompt information) can be generated and the tower maintenance notice can be promptly issued to the corresponding maintenance personnel.

[0084] Optionally, in actual use, a unique number may be set for each tower, so that maintenance personnel can identify the location of the abnormal tower based on the tower information. The tower maintenance notice may include the tower number, the location of the tower, the area to which the tower belongs, the tower maintenance personnel, the tower information, the tower fault information, etc.

[0085] Optionally, maintenance personnel can log into the system by installing corresponding software, official accounts or mini-programs to view tower maintenance notifications and repair the tower in a timely manner. At the same time, maintenance personnel can upload the status of the repaired tower to the system in a timely manner.

[0086] For example, after logging into the system, maintenance personnel can repair the tower according to the information in the tower maintenance notice, and upload the tower maintenance information to the system so that the system can record the tower maintenance times, maintenance parameters and other information. Once the maintenance times of a tower reach the upper limit, relevant engineering personnel can be notified in time to replace the tower.

[0087] As an optional implementation, the method may also include: determining at least one area where at least one tower pole is deployed; in the at least one area, determining a target area set, wherein the geology of the target area in the target area set is abnormal geology; merging multiple target areas with the same abnormal geology in the target area set to obtain at least one merged area; and determining the merged area as the area to be monitored.

[0088] In this embodiment, in order to improve the efficiency of monitoring, several towers located in the same geological area can be assigned to one monitoring area, thereby achieving unified monitoring of all towers in one area. That is, the geology of at least one area where at least one tower is deployed can be determined, and multiple areas can be classified and summarized based on the geology to obtain the area to be monitored. It should be noted that the area to be monitored can be obtained by dividing through the above steps, or it can be obtained by artificial division by the operator based on experience or collected geological data in advance. There is no specific restriction on the method of obtaining the area to be monitored.

[0089] Optionally, the geology of at least one area where at least one tower is deployed may be determined, and based on the geology, multiple areas may be classified and summarized to obtain a target area set including abnormal geology. Multiple target areas with the same abnormal geology in the target area set may be merged to obtain at least one merged area, and the merged area may be determined as the area to be monitored.

[0090] Optionally, several towers are set up in the area to be monitored. Multiple towers can be monitored through remote monitoring in one area. For example, in a bad geological area, if a tower slips, tilts, sinks, cracks, etc., then other towers in the area may also have the above situation. By dividing the towers in the same geology, the efficiency of predicting the status of the towers can be improved.

[0091] Optionally, the area to be monitored may refer to an area where the stability of the tower needs to be monitored.

[0092] For example, when a transmission line passes through a bad geological area such as a coal mining area, a soft soil area, a hillside, a desert area, a riverbed, etc., under the influence of the natural environment and external conditions, the tower foundation may slip, tilt, sink, crack, etc., which may cause the tower to deform, tilt, or even collapse and disconnection. Therefore, this embodiment monitors the stability of the tower in the bad geological area through which the transmission line passes, thereby realizing remote monitoring of the tower, timely repairing the tower, ensuring the stability of the tower, and avoiding problems such as deformation, tilt, and collapse of the tower that affect the safe operation of the power grid.

[0093] In an embodiment of the present invention, environmental data of the area to be monitored is obtained, and based on the environmental data, the stability of the tower is first predicted to obtain a prediction result. If the prediction result is that the probability that the stability is less than the stability threshold is greater than the probability threshold, it can be determined that there is a risk of instability in the tower. Then, based on the posture data of the tower at the current moment, the tower can be further determined to determine the actual current stability of the tower, thereby solving the technical problem of low efficiency in determining the stability of the tower and achieving the technical effect of improving the efficiency of determining the stability of the tower.

[0094] The technical solution of the present application is further supplemented below with a satellite-based power grid tower stability monitoring method.

[0095] Figure 2 The present invention is a flowchart of a satellite-based power grid tower stability monitoring method according to an embodiment of the present invention.

[0096] like Figure 2 As shown, the method may include the following steps:

[0097] Step S202, obtaining first monitoring data of the area to be detected.

[0098] In this embodiment, the first monitoring data of the area to be detected can be acquired through a satellite.

[0099] Step S204: Based on the first monitoring data, it can be predicted whether the tower in the monitored area is abnormal.

[0100] In this embodiment, the first monitoring data of the area to be detected can be matched with the risk identification model constructed in the system to obtain a prediction result. Based on the prediction result, it can be determined whether there is an abnormality in the tower pole in the area to be detected. If so, step S206 is executed; if not, the process returns to step S202.

[0101] Step S206, obtaining second monitoring data.

[0102] In this embodiment, a data collection instruction can be sent to the second monitoring device of each tower in the detection area via a satellite to obtain second monitoring data of each tower. The second monitoring data can be attitude data, which can be used to further determine the inclination of the tower.

[0103] Step S208: judging the stability of the tower based on the second monitoring data.

[0104] In this embodiment, the acquired second monitoring data of each tower pole may be analyzed. For example, the second monitoring data may be analyzed according to the early warning rule conditions preset in the system to determine whether there is any abnormality in the stability of each tower pole.

[0105] Step S210: issuing a tower maintenance notice.

[0106] In this embodiment, when an abnormality is detected in a corresponding tower, a tower maintenance notice may be generated and the tower maintenance notice may be issued to a corresponding maintenance personnel in a timely manner.

[0107] In this embodiment, several towers located in the same bad geological area are concentrated into one monitoring area, and the environmental data in the monitoring area is monitored to determine whether there are abnormalities in the towers in the monitored area according to the environmental data; and then each tower in the monitoring area is monitored separately to determine the stability of the towers. That is, centralized monitoring of abnormal towers in an area is achieved through environmental data, and then each tower is monitored separately, which can avoid the problem of huge amount of data processed by the system as the number of monitored towers increases when directly monitoring the stability (also known as stability) of the towers, thereby solving the technical problem of low efficiency in determining the stability of the towers and achieving the technical effect of improving the efficiency of determining the stability of the towers.

[0108] According to an embodiment of the present invention, a system for determining the stability of a tower is also provided. It should be noted that the system for determining the stability of a tower in this embodiment can be used to execute the method for determining the stability of a tower in embodiment 1 of the present invention.

[0109] Figure 3 FIG. 1 is a schematic diagram of a system for determining the stability of a tower pole according to an embodiment of the present invention. Figure 3 As shown, the tower stability determination system 30 may include: a first monitoring device 302 , a second monitoring device 304 and a ground-end device 306 .

[0110] The first monitoring device 302 is used to collect environmental information of the area to be monitored and transmit the environmental information to a satellite through a satellite communication module, wherein at least one tower pole for supporting a cable line is deployed in the area to be monitored.

[0111] The second monitoring device 304 is deployed on the tower pole, and is used to obtain the attitude data of the tower pole at the current moment, and upload the attitude data to the satellite.

[0112] The ground terminal device 306 is used to obtain environmental data from the satellite; based on the environmental data, the stability of the tower is predicted to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than the stability threshold is greater than the probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, attitude data is obtained from the satellite; based on the attitude data, the current stability of the tower is determined.

[0113] In this embodiment, the first monitoring device may include but is not limited to the following devices: humidity sensor, water level sensor, wind speed sensor, wind vane, displacement sensor, temperature sensor and other sensors. At the same time, each of the above devices can be installed at a corresponding position according to the requirements of the data to be measured, and one or more of each device can be installed according to the requirements and the setting of the monitoring point. There is no specific restriction on the installation position and installation quantity of the above sensors.

[0114] Optionally, the first monitoring device may further include a first local transfer device and a satellite communication module, wherein the first local transfer device is connected to a humidity sensor, a water level sensor, a wind speed sensor, a wind vane, a displacement sensor, and a temperature sensor. The first local transfer device is connected to satellite communication via the satellite communication module, and is used to collect data from various sensors and forward the data to the ground-end device via satellite.

[0115] In this embodiment, the second monitoring device may include a second local transfer device and a satellite communication module. The inclination sensor, level, torque sensor, angle sensor, grating sensor, strain tension sensor, and three-axis gyroscope sensor are connected to the second local transfer device, so that the attitude data collected by each sensor is uploaded to the satellite through the satellite communication module through the second local transfer device, and then forwarded to the ground terminal equipment.

[0116] Optionally, when the second local transfer device receives a data collection instruction sent by the satellite, it can upload the data collected by itself to the ground-side equipment via the satellite for subsequent data processing.

[0117] Optionally, when the second local transfer device does not receive the data collection instruction, it can collect corresponding data from the above sensors and store it in the local device according to the task set by the system. When the data collection instruction is received, the second monitoring data stored in the local device can be uploaded to the ground terminal device via satellite to realize subsequent data analysis and processing.

[0118] As an optional embodiment, the system may further include a third monitoring device for capturing image data and / or video data of the tower.

[0119] In this embodiment, while obtaining the second monitoring data, the third monitoring data can also be obtained. The third monitoring data can be camera data, which can include image data and / or video data. The third monitoring device can be a visual camera, radar or other image acquisition device installed in the surrounding area of ​​the tower. It should be noted that this is only an example, and there is no specific limitation on the type of the third detection device.

[0120] Optionally, after receiving the data collection instruction, the second local transfer device can send a control instruction to the visualization camera to start the visualization camera to shoot the corresponding tower and obtain image data. The image data and the second monitoring data can be uploaded to the ground terminal device via satellite.

[0121] Optionally, by collecting image data captured by a visualization camera, auxiliary monitoring of the stability of the tower pole can be performed. The visualization camera can be installed near the location of the tower pole to be monitored through a fixed rod. When selecting a site, the visualization camera can be installed in a relatively safe area where displacement will not occur.

[0122] Optionally, the visual camera can shoot the monitored tower pole to assist in monitoring whether the monitored tower pole is skewed or displaced. When the visual camera is initially installed, a fixed reference object is set to shoot the tower pole. In this way, when the stability of the tower pole is abnormal, the deviation between the shot image and the initial image set in the system can be used to assist in judging the stability of the tower pole.

[0123] As an optional embodiment, the ground-end device is used to re-determine the current stability based on the image data and / or video data in response to the current stability being less than the stability threshold.

[0124] In this embodiment, satellites are combined to achieve remote monitoring of the stability of power grid towers, which is completed automatically without human intervention. When monitoring the stability of towers, they are divided into multiple monitoring areas according to the different geological areas where the towers are located, so as to uniformly monitor multiple towers in the same geological area. When monitoring the stability of towers, a second monitoring device is installed on the tower to transfer the monitoring data to the satellite and then upload it to the background via the satellite, ensuring stable data transmission.

[0125] The system for determining the stability of the tower of this embodiment collects environmental information of the area to be monitored through a first monitoring device, and transmits the environmental information to a satellite through a satellite communication module, wherein at least one tower for supporting a cable line is deployed in the area to be monitored; a second monitoring device is deployed on the tower to obtain attitude data of the tower at a current moment, and the attitude data is uploaded to a satellite; environmental data is obtained from a satellite through a ground-end device; based on the environmental data, the stability of the tower is predicted to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than a stability threshold is greater than a probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, attitude data is obtained from the satellite; based on the attitude data, the current stability of the tower is determined, thereby solving the technical problem of low efficiency in determining the stability of the tower and achieving the technical effect of improving the efficiency of determining the stability of the tower.

[0126] According to an embodiment of the present invention, a device for determining the stability of a tower is also provided. It should be noted that the device for determining the stability of a tower in this embodiment can be used to execute the method for determining the stability of a tower in the above-mentioned embodiment of the present invention.

[0127] Figure 4 Schematic diagram of a device for determining the stability of a tower pole according to an embodiment of the present invention. Figure 4 As shown, the apparatus 40 for determining the stability of a tower pole may include: a first obtaining unit 402 , a pre-judgment unit 404 , a second obtaining unit 406 and a determining unit 408 .

[0128] The first acquisition unit 402 is used to acquire environmental data of a to-be-monitored area from a satellite, wherein at least one tower pole for supporting a cable line is deployed in the to-be-monitored area.

[0129] The prediction unit 404 is used to predict the stability of the tower based on the environmental data to obtain a prediction result, wherein the prediction result is used to indicate whether the probability that the stability is less than the stability threshold is greater than the probability threshold.

[0130] The second acquisition unit 406 is configured to acquire the posture data of the tower at the current moment in response to the prediction result that the probability is greater than the probability threshold.

[0131] The determination unit 408 is configured to determine the current stability of the tower based on the posture data.

[0132] The device for determining the stability of the tower of this embodiment obtains environmental data of the area to be monitored from a satellite through a first acquisition unit, wherein at least one tower for supporting a cable line is deployed in the area to be monitored; predicts the stability of the tower based on the environmental data through a prediction unit to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than a stability threshold is greater than a probability threshold; obtains the posture data of the tower at the current moment through a second acquisition unit in response to the prediction result being that the probability is greater than the probability threshold; determines the current stability of the tower based on the posture data through a determination unit, thereby solving the technical problem of low efficiency in determining the stability of the tower and achieving the technical effect of improving the efficiency of determining the stability of the tower.

[0133] The embodiment of the present invention can provide a computer terminal, which can be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal can also be replaced by a terminal device such as a mobile terminal.

[0134] Optionally, in this embodiment, the computer terminal may be located in at least one network device among a plurality of network devices of the computer network.

[0135] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the method for determining the stability of the tower: obtaining environmental data of the area to be monitored from a satellite, wherein at least one tower for supporting the cable line is deployed in the area to be monitored; based on the environmental data, predicting the stability of the tower to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than the stability threshold is greater than the probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, obtaining the posture data of the tower at the current moment; based on the posture data, determining the current stability of the tower.

[0136] Optionally, Figure 5 is a structural block diagram of a computer terminal according to an embodiment of the present invention. Figure 5 As shown, the computer terminal 508 may include: one or more (only one is shown in the figure) processors 502 , a memory 504 and a transmission device 506 .

[0137] The memory can be used to store software programs and modules, such as program instructions / modules corresponding to the method and device for determining the stability of the tower in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, the above-mentioned method for determining the stability of the tower is realized. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories can be connected to the computer terminal 508 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0138] The processor can call the information and application stored in the memory through the transmission device to perform the following steps: obtain environmental data of the area to be monitored from the satellite, wherein at least one tower for supporting the cable line is deployed in the area to be monitored; based on the environmental data, predict the stability of the tower to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than the stability threshold is greater than the probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, obtain the posture data of the tower at the current moment; based on the posture data, determine the current stability of the tower.

[0139] It can be understood by those skilled in the art that Figure 5 The structure shown is for illustration only, and the computer terminal 508 may also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a PDA, a mobile Internet device (Mobile Internet Devices, referred to as MID), a PAD, or other terminal devices. Figure 5 The structure of the computer terminal 508 is not limited. For example, the computer terminal 508 may also include Figure 5 More or fewer components (such as network interfaces, display devices, etc.) shown in, or having Figure 5 Different configurations are shown.

[0140] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0141] According to an embodiment of the present invention, there is further provided a computer-readable storage medium, the computer-readable storage medium comprising a stored program, wherein the program executes the method for determining the stability of the tower in the above embodiment.

[0142] Optionally, in this embodiment, the computer-readable storage medium may be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the mobile terminals in a mobile terminal group.

[0143] Optionally, in this embodiment, the computer-readable storage medium is configured to store program code for executing the following steps: obtaining environmental data of an area to be monitored from a satellite, wherein at least one tower for supporting a cable line is deployed in the area to be monitored; based on the environmental data, predicting the stability of the tower to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than a stability threshold is greater than a probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, obtaining attitude data of the tower at the current moment; and determining the current stability of the tower based on the attitude data.

[0144] Optionally, the computer-readable storage medium may also execute program code of the following steps: inputting environmental data into a risk identification model for identification to obtain the similarity between the environmental data and historical environmental data under historical abnormal conditions; and determining a prediction result corresponding to the similarity.

[0145] Optionally, the computer-readable storage medium may also execute program code for the following steps: in response to the similarity being greater than a similarity threshold, determining that the prediction result is a probability greater than a probability threshold; in response to the similarity being less than or equal to the similarity threshold, determining that the prediction result is a probability less than or equal to the probability threshold.

[0146] Optionally, the computer-readable storage medium may also execute program code for the following steps: matching the standard environmental data with the environmental data to obtain a matching result, wherein the stability corresponding to the tower under the standard environmental data is less than a stability threshold; in response to the matching result being the similarity between the standard environmental data and the environmental data being greater than a similarity threshold, determining that the prediction result is a probability greater than a probability threshold; in response to the matching result being the similarity between the standard environmental data and the environmental data being less than or equal to a similarity threshold, determining that the prediction result is a probability less than or equal to a probability threshold.

[0147] Optionally, the computer-readable storage medium may also execute program code for the following steps: in response to a predicted result that the probability is greater than a probability threshold, controlling the satellite to send a data collection instruction; and obtaining attitude data collected by the sensor in the tower in response to the data collection instruction.

[0148] Optionally, the computer-readable storage medium may also execute program codes of the following steps: in response to the current stability being less than a stability threshold, determining that abnormal information exists on the tower; and in response to the abnormal information existing on the tower, outputting prompt information.

[0149] Optionally, the computer-readable storage medium may also execute program codes of the following steps: determining at least one area where at least one tower pole is deployed; in at least one area, determining a target area set, wherein the geology of the target area in the target area set is abnormal geology; merging multiple target areas with the same abnormal geology in the target area set to obtain at least one merged area; and determining the merged area as the area to be monitored.

[0150] In this embodiment, environmental data of the area to be monitored is obtained, and based on the environmental data, the stability of the tower is first predicted to obtain a prediction result. If the prediction result is that the probability that the stability is less than the stability threshold is greater than the probability threshold, it can be determined that the tower is at risk of instability. Based on the posture data of the tower at the current moment, the tower can be further determined to determine the actual current stability of the tower, thereby solving the technical problem of low efficiency in determining the stability of the tower and achieving the technical effect of improving the efficiency of determining the stability of the tower.

[0151] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run by the processor, the method for determining the stability of the tower in the above embodiment is executed.

[0152] Optionally, in this embodiment, the computer terminal may be located in at least one network device among a plurality of network devices of the computer network.

[0153] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the method for determining the stability of the tower: obtaining environmental data of the area to be monitored from a satellite, wherein at least one tower for supporting the cable line is deployed in the area to be monitored; based on the environmental data, predicting the stability of the tower to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than the stability threshold is greater than the probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, obtaining the posture data of the tower at the current moment; based on the posture data, determining the current stability of the tower.

[0154] The memory can be used to store software programs and modules, such as program instructions / modules corresponding to the method and device for determining the stability of the tower in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, the method for determining the stability of the tower is realized. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories can be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0155] The processor can call the information and application stored in the memory through the transmission device to perform the following steps: obtain environmental data of the area to be monitored from the satellite, wherein at least one tower for supporting the cable line is deployed in the area to be monitored; based on the environmental data, predict the stability of the tower to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than the stability threshold is greater than the probability threshold; in response to the prediction result being that the probability is greater than the probability threshold, obtain the posture data of the tower at the current moment; based on the posture data, determine the current stability of the tower.

[0156] Optionally, the processor may also execute the following program code: input the environmental data into a risk identification model for identification, obtain the similarity between the environmental data and historical environmental data under historical abnormal conditions; and determine a prediction result corresponding to the similarity.

[0157] Optionally, the processor may also execute program code for the following steps: in response to the similarity being greater than a similarity threshold, determining that the prediction result is a probability greater than a probability threshold; in response to the similarity being less than or equal to the similarity threshold, determining that the prediction result is a probability less than or equal to the probability threshold.

[0158] Optionally, the processor may also execute program code for the following steps: matching the standard environmental data with the environmental data to obtain a matching result, wherein the stability corresponding to the tower under the standard environmental data is less than a stability threshold; in response to the matching result being the similarity between the standard environmental data and the environmental data being greater than a similarity threshold, determining that the prediction result is a probability greater than a probability threshold; in response to the matching result being the similarity between the standard environmental data and the environmental data being less than or equal to a similarity threshold, determining that the prediction result is a probability less than or equal to a probability threshold.

[0159] Optionally, the processor may also execute program codes of the following steps: in response to the predicted result that the probability is greater than the probability threshold, controlling the satellite to send a data collection instruction; and obtaining the attitude data collected by the sensor in the tower in response to the data collection instruction.

[0160] Optionally, the processor may also execute program codes of the following steps: in response to the current stability being less than a stability threshold, determining that abnormal information exists on the tower; and in response to the abnormal information existing on the tower, outputting prompt information.

[0161] Optionally, the processor may also execute program codes of the following steps: determining at least one area where at least one tower pole is deployed; in at least one area, determining a target area set, wherein the geology of the target areas in the target area set is abnormal geology; merging multiple target areas with the same abnormal geology in the target area set to obtain at least one merged area; and determining the merged area as the area to be monitored.

[0162] By adopting the embodiment of the present invention, environmental data of the area to be monitored is obtained, and based on the environmental data, the stability of the tower is first predicted to obtain a prediction result. If the prediction result is that the probability that the stability is less than the stability threshold is greater than the probability threshold, it can be determined that the tower is at risk of instability. Then, based on the posture data of the tower at the current moment, the tower can be further determined to determine the actual current stability of the tower, thereby solving the technical problem of low efficiency in determining the stability of the tower and achieving the technical effect of improving the efficiency of determining the stability of the tower.

[0163] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions are executed by a processor, the method for determining the stability of the tower in the above embodiment is implemented.

[0164] An embodiment of the present application may provide an electronic device, which may include a memory and a processor.

[0165] Figure 6 1 is a block diagram of an electronic device for determining the stability of a tower according to an embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or claimed herein.

[0166] like Figure 6As shown, the device 600 includes a computing unit 601, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 602 or a computer program loaded from a storage unit 608 to a random access memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The computing unit 601, the ROM 602, and the RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0167] A number of components in the device 600 are connected to the I / O interface 605, including: an input unit 606, such as a keyboard, a mouse, etc.; an output unit 604, such as various types of displays, speakers, etc.; a storage unit 608, such as a disk, an optical disk, etc.; and a communication unit 609, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0168] The computing unit 601 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 601 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The computing unit 601 performs the various methods and processes described above, such as a verification method for data. For example, in some embodiments, the verification method for data may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 608. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 600 via ROM 602 and / or communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the data verification method described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the data verification method in any other appropriate manner (e.g., by means of firmware).

[0169] According to an embodiment of the present application, a method for determining the stability of a tower is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0170] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor that may be a dedicated or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0171] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0172] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0173] To provide interaction with a user, the systems and techniques described herein may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or an LCD (liquid crystal display, monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a path ball) through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0174] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a Local Area Network (LAN), a Wide Area Network (WAN), and the Internet.

[0175] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0176] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0177] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0178] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic, for example, the division of units can be a logical function division, and there can be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0179] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0180] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0181] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0182] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for determining the stability of a tower pole, characterized in that: include: Acquire environmental data of a to-be-monitored area from a satellite, wherein at least one tower pole for supporting a cable line is deployed in the to-be-monitored area; Based on the environmental data, the stability of the tower is predicted to obtain a prediction result, wherein the prediction result is used to indicate whether the probability that the stability is less than a stability threshold is greater than a probability threshold; In response to the prediction result that the probability is greater than the probability threshold, acquiring the posture data of the tower at the current moment; Based on the attitude data, a current stability of the tower is determined.

2. The method according to claim 1, characterized in that The step of predicting the stability of the tower pole based on the environmental data to obtain a prediction result includes: Inputting the environmental data into a risk identification model for identification, and obtaining the similarity between the environmental data and historical environmental data under historical abnormal conditions; Determine the prediction result corresponding to the similarity.

3. The method according to claim 2, characterized in that The determining the prediction result corresponding to the recognition result includes: In response to the similarity being greater than a similarity threshold, determining that the prediction result is that the probability is greater than the probability threshold; In response to the similarity being less than or equal to the similarity threshold, determining the prediction result as the probability being less than or equal to the probability threshold.

4. The method according to claim 1, characterized in that The step of predicting the stability of the tower pole based on the environmental data to obtain a prediction result includes: Matching the standard environment data with the environment data to obtain a matching result, wherein the stability corresponding to the tower under the standard environment data is less than the stability threshold; In response to the matching result being that the similarity between the standard environment data and the environment data is greater than a similarity threshold, determining that the prediction result is that the probability is greater than a probability threshold; In response to the matching result being that the similarity between the standard environment data and the environment data is less than or equal to the similarity threshold, the prediction result is determined to be that the probability is less than or equal to the probability threshold.

5. The method according to claim 1, characterized in that In response to the prediction result that the probability is greater than the probability threshold, acquiring the posture data of the tower at the current moment includes: In response to the prediction result that the probability is greater than a probability threshold, controlling the satellite to send a data collection instruction; The posture data collected by the sensor in the tower in response to the data collection instruction is obtained.

6. The method according to claim 1, characterized in that The method further comprises: In response to the current stability being less than the stability threshold, determining that abnormal information exists on the tower; In response to abnormal information about the tower, a prompt message is output.

7. The method according to claim 1, characterized in that The method further comprises: determining at least one area where at least one of the towers is deployed; In at least one of the regions, determining a target region set, wherein the geology of the target region in the target region set is abnormal geology; Merging a plurality of target areas in the target area set having the same abnormal geology to obtain at least one merged area; The merged area is determined as the area to be monitored.

8. A system for determining the posture of a tower, characterized in that: include: A first monitoring device is used to collect environmental information of a to-be-monitored area and transmit the environmental information to a satellite through a satellite communication module, wherein at least one tower pole for supporting a cable line is deployed in the to-be-monitored area; A second monitoring device is deployed on the tower, and is used to obtain the attitude data of the tower at a current moment, and upload the attitude data to the satellite; The ground-end device is used to obtain the environmental data from the satellite; based on the environmental data, predict the stability of the tower to obtain a prediction result, wherein the prediction result is used to characterize whether the probability that the stability is less than a stability threshold is greater than a probability threshold; in response to the prediction result that the probability is greater than the probability threshold, obtain the attitude data from the satellite; based on the attitude data, determine the current stability of the tower.

9. The system according to claim 8, characterized in that The system further comprises: The third monitoring device is used to capture image data and / or video data of the tower.

10. The system according to claim 9, characterized in that The ground terminal device is used to re-determine the current stability based on the image data and / or the video data in response to the current stability being less than the stability threshold.

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