Method and system for detecting ponding lodging risk of outdoor advertising board

Abstract

The invention discloses an outdoor billboard ponding lodging risk detection method and system, and relates to the technical field of outdoor billboard ponding lodging risk detection. The method comprises the steps that multiple pieces of detection data are obtained in real time; a plurality of thresholds are respectively determined. And determining a risk level according to the plurality of detection data and the plurality of thresholds. And determining a response measure according to the risk level and implementing the response measure. According to the invention, 24-hour unmanned monitoring can be realized, multi-data fusion is adopted, risk assessment is comprehensively covered, the early warning accuracy is improved, scheduling can be automatically maintained, and the response speed is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of outdoor advertising board water accumulation and overturning risk detection, and particularly relates to an outdoor advertising board water accumulation and overturning risk detection method, an outdoor advertising board water accumulation and overturning risk detection system, a computer device and a readable storage medium. BACKGROUND

[0002] Outdoor advertising boards are usually high and large in size. Once overturned due to water accumulation, it is extremely likely to injure pedestrians and vehicles, causing serious casualties and property losses. For example, after heavy rain, the advertising board loses balance due to the increased weight of water accumulation and falls from a high place, which may cause direct impact on the people and vehicles below.

[0003] The overturning of the advertising board not only causes damage to itself, but also may damage the surrounding infrastructure and buildings. For the advertising owner, the repair or reinstallation cost of the advertising board needs to be borne; for the injured personnel and the owner of the damaged property, corresponding compensation also needs to be made, which will bring huge economic burden. At the same time, the overturning of the advertising board will also affect the advertising effect, bringing indirect economic losses to the enterprise.

[0004] The conventional outdoor advertising board safety inspection in the prior art mainly relies on manual inspection, which is low in efficiency and cannot be monitored in real time. The existing intelligent detection method adopts single sensor monitoring, which cannot adapt to complex environmental changes, lacks data storage, and the accident responsibility is difficult to trace back. Moreover, the maintenance response also depends on manual scheduling, which is low in efficiency. SUMMARY

[0005] The present application solves the technical problem that the conventional outdoor advertising board safety inspection in the prior art mainly relies on manual inspection, which is low in efficiency and cannot be monitored in real time. The intelligent detection method mostly adopts single sensor monitoring, which cannot adapt to complex environmental changes, lacks data storage, and the accident responsibility is difficult to trace back. Moreover, manual maintenance is still needed, which is low in efficiency.

[0006] In view of the above deficiencies of the prior art, the following solutions are provided:

[0007] In a first aspect, the present application provides an outdoor advertising board water accumulation and overturning risk detection method, comprising: respectively acquiring a plurality of detection data in real time. A plurality of threshold values are determined respectively. The risk level is determined according to the plurality of detection data and the plurality of threshold values. And the response measures are determined according to the risk level and implemented. Wherein the plurality of detection data includes liquid level data of water accumulation in the outdoor advertising board, bearing data of the outdoor advertising board, leakage current, environmental temperature data and environmental humidity data. The leakage current is the leakage current of the electrical box of the outdoor advertising board. The plurality of threshold values include liquid level threshold value, bearing threshold value, leakage current threshold value and humidity threshold value.

[0008] Optionally, the acquiring the plurality of detection data comprises: acquiring raw data from the plurality of detection devices in real time respectively; and obtaining the plurality of detection data according to the raw data from the plurality of detection devices. The plurality of detection data is the raw data from the plurality of detection devices or data obtained by preprocessing the raw data from the plurality of detection devices respectively. The plurality of detection devices comprises a liquid level sensor, a pressure sensor, a leakage sensor, a humidity sensor and a temperature sensor. The liquid level sensor is arranged at the bottom of the outdoor advertising board inside, and is used to measure the liquid level data of the water accumulated in the outdoor advertising board. The pressure sensor is arranged at the top and bottom of the support of the outdoor advertising board respectively, and is used to measure the bearing data of the outdoor advertising board. The leakage sensor is arranged in or near the electrical box of the outdoor advertising board. The humidity sensor is arranged near the electrical box of the outdoor advertising board or at the ventilation position in the outdoor advertising board. The temperature sensor is arranged at the ventilation position in the outdoor advertising board.

[0009] Optionally, the determining the plurality of thresholds respectively comprises: setting a liquid level raw threshold, a bearing threshold, a leakage current raw threshold and a humidity threshold respectively. The liquid level dynamic threshold is determined according to the environmental temperature data and the liquid level raw threshold. The leakage current dynamic threshold is determined according to the environmental humidity data and the leakage current raw threshold. The leakage current threshold is the leakage current dynamic threshold. The liquid level threshold is the liquid level dynamic threshold.

[0010] Optionally, the determining the liquid level dynamic threshold according to the environmental temperature data and the liquid level raw threshold comprises: in response to the environmental temperature data being lower than a first preset temperature, determining the liquid level dynamic threshold as n times of the liquid level raw threshold, n being greater than 1.

[0011] Optionally, the determining the leakage current dynamic threshold according to the environmental humidity data and the leakage current raw threshold comprises: in response to the environmental humidity data being higher than a first preset humidity, determining the leakage current dynamic threshold as m times of the leakage current raw threshold, m being greater than 0 but less than 1.

[0012] Optionally, the determining the risk level according to the plurality of detection data and the plurality of thresholds comprises: determining a risk score according to the plurality of detection data and the plurality of thresholds; and determining the risk level according to the risk score, the plurality of detection data and the plurality of thresholds.

[0013] Optionally, the determining the risk score according to the plurality of detection data and the plurality of thresholds comprises: determining the risk score according to the formula . Wherein, R is the risk score, a and β are weight coefficients respectively, P is the bearing data of the outdoor advertising board, P max is the bearing threshold, h is the liquid level data of the water accumulated in the outdoor advertising board, h max is the liquid level dynamic threshold, I is the leakage current, I maxis a leakage current dynamic threshold, H is ambient humidity data, H max is a humidity threshold.

[0014] Optionally, determining the risk level according to the risk score, the plurality of detection data and the plurality of thresholds comprises: in response to the risk score being greater than or equal to a risk score threshold, and the load-bearing data of the outdoor advertising board being less than or equal to a load-bearing threshold, and the liquid level data of the accumulated water in the outdoor advertising board being less than or equal to a liquid level dynamic threshold, and the leakage current being less than or equal to a leakage current dynamic threshold, determining that the risk level is a pre-warning alarm. And, in response to the load-bearing data of the outdoor advertising board being greater than the load-bearing threshold, or the liquid level data of the accumulated water in the outdoor advertising board being greater than the liquid level dynamic threshold, or the leakage current being greater than the leakage current dynamic threshold, determining that the risk level is an emergency alarm.

[0015] Optionally, determining the response measure according to the risk level and implementing the response measure comprises: in response to the risk level being an emergency alarm, the response measure comprising: determining the nearest maintenance team, and assigning a work order to the nearest maintenance team, and synchronously notifying the nearest maintenance team through a short message and a mobile phone. And, in response to the risk level being a pre-warning alarm, the response measure comprising: pushing a risk log to a manager to remind the manager to pay attention.

[0016] Optionally, the outdoor advertising board accumulated water and collapse risk detection method further comprises: obtaining maintenance record data. Recording alarm event data. And uploading the plurality of detection data, the maintenance record data and the alarm event data to a blockchain database for storage. Wherein, the alarm event data comprises the risk level of each alarm and the response measure taken.

[0017] In a second aspect, the present application provides an outdoor advertising board accumulated water and collapse risk detection system, comprising a detection data acquisition module, a threshold determination module, a risk level determination module and a response measure determination module. Wherein, the detection data acquisition module is configured to: respectively acquire a plurality of detection data in real time. The plurality of detection data comprises liquid level data of accumulated water in the outdoor advertising board, load-bearing data of the outdoor advertising board, leakage current, ambient temperature data and ambient humidity data. The threshold determination module is configured to: respectively determine a plurality of thresholds. The plurality of thresholds comprises a liquid level threshold, a load-bearing threshold, a leakage current threshold and a humidity threshold. The risk level determination module is configured to: determine a risk level according to the plurality of detection data and the plurality of thresholds. The response measure determination module is configured to: determine a response measure according to the risk level and implement the response measure.

[0018] In a third aspect, the present application provides a computer device comprising a memory and a processor, the memory storing a computer program, and when the processor runs the computer program stored in the memory, the processor executes the above-mentioned outdoor advertising board accumulated water and collapse risk detection method.

[0019] In a fourth aspect, the present application provides a computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to execute the outdoor advertising board waterlogging and lodging risk detection method.

[0020] The outdoor advertising board waterlogging and lodging risk detection method and system provided by the present application realize 24-hour unmanned monitoring by collecting data in real time and determining the risk level in real time, adopt multi-data fusion (liquid level + pressure + current + temperature) to comprehensively cover the risks, and adopt a dynamic threshold algorithm to improve the early warning accuracy, can be stored in a block chain to ensure that the data cannot be tampered with, facilitate the tracing of accident responsibility, and can also automatically maintain and dispatch to improve the response speed. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 A flowchart of an outdoor advertising board waterlogging and lodging risk detection method in an embodiment of the present application;

[0022] Figure 2 A flowchart of another outdoor advertising board waterlogging and lodging risk detection method in an embodiment of the present application;

[0023] Figure 3 A flowchart of still another outdoor advertising board waterlogging and lodging risk detection method in an embodiment of the present application;

[0024] Figure 4 A flowchart of yet another outdoor advertising board waterlogging and lodging risk detection method in an embodiment of the present application;

[0025] Figure 5 A flowchart of still another outdoor advertising board waterlogging and lodging risk detection method in an embodiment of the present application;

[0026] Figure 6 A structural diagram of an outdoor advertising board waterlogging and lodging risk detection system in an embodiment of the present application;

[0027] Figure 7 A structural diagram of another outdoor advertising board waterlogging and lodging risk detection system in an embodiment of the present application;

[0028] Figure 8 A structural diagram of a computer device in an embodiment of the present application. DETAILED DESCRIPTION

[0029] In order for those skilled in the art to better understand the technical solutions of the present application, the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

[0030] It can be understood that the specific embodiments and drawings described herein are only used to explain the present application, and not to limit the present application.

[0031] It can be understood that the embodiments in the present application and the features in the embodiments can be combined with each other without conflict.

[0032] It can be understood that, for the convenience of description, only parts related to the present application are shown in the drawings of the present application, and parts irrelevant to the present application are not shown in the drawings.

[0033] It can be understood that each unit and module involved in the embodiments of the present application can correspond to only one entity structure, or can be composed of multiple entity structures, or multiple units and modules can be integrated into one entity structure.

[0034] It can be understood that the functions and steps marked in the flowcharts and block diagrams of the present application can occur in an order different from that marked in the drawings without conflict.

[0035] It can be understood that in the flowcharts and block diagrams of the present application, the architecture, functions and operations of possible implementations of the system, device, equipment and method according to the embodiments of the present application are shown. Each block in the flowchart or block diagram can represent a unit, module, program segment, code, which contains executable instructions for realizing the specified functions. Moreover, each block or combination of blocks in the block diagram and flowchart can be realized by a hardware-based system for realizing the specified functions, or by a combination of hardware and computer instructions.

[0036] It can be understood that the units and modules involved in the embodiments of the present application can be realized in the form of software or hardware, for example, the units and modules can be located in a processor.

[0037] The embodiments of the present application provide an outdoor advertising board water accumulation and lodging risk detection method, as shown in Figure 1 The method comprises steps 101 to 104.

[0038] Step 101, respectively acquiring multiple detection data in real time.

[0039] In step 101, the multiple detection data comprises liquid level data of water accumulation in the outdoor advertising board, bearing data of the outdoor advertising board, leakage current, environmental temperature data and environmental humidity data.

[0040] In some embodiments, as shown in Figure 2 The implementation method of step 101 comprises steps 201 to 202.

[0041] Step 201, respectively acquiring original data from multiple detection devices in real time.

[0042] In step 201, the plurality of detection devices include a liquid level sensor, a pressure sensor, an electric leakage sensor, a humidity sensor, and a temperature sensor. The liquid level sensor is arranged at the bottom of the interior of the outdoor billboard to measure the liquid level data of the accumulated water in the outdoor billboard. The pressure sensor is two in number, and the two pressure sensors are arranged at the top and bottom of the support of the outdoor billboard to measure the bearing data of the outdoor billboard. The electric leakage sensor is arranged in or near the electrical box of the outdoor billboard. The humidity sensor is arranged near the electrical box of the outdoor billboard or at the ventilation of the outdoor billboard. The temperature sensor is arranged at the ventilation of the outdoor billboard.

[0043] Exemplarily, the type and installation position of each sensor can be selected according to Table 1.

[0044] Table 1: Type and installation position of sensor

[0045]

[0046] It can be understood that the bearing data of the outdoor billboard can be obtained by the pressure sensor, and the bearing data of the outdoor billboard is more accurate by arranging the pressure sensor at the top and bottom of the support of the outdoor billboard.

[0047] Exemplarily, the plurality of detection devices (such as the plurality of sensors in Table 1) can be Internet of Things sensors, and the data can be transmitted through a fifth generation mobile communication technology 5G network, or a narrow band Internet of Things (NB-IoT), or a long range radio (LoRa) network.

[0048] Exemplarily, the environmental temperature data can also be obtained from the weather website of the place where the outdoor billboard is located.

[0049] In step 202, a plurality of detection data is obtained from the original data from the plurality of detection devices.

[0050] In step 202, the plurality of detection data is the original data from the plurality of detection devices or the data after the original data from the plurality of detection devices is respectively preprocessed.

[0051] Exemplarily, the preprocessing method of the original data from the liquid level sensor includes filtering sleep fluctuation noise. The preprocessing method of the original data from the pressure sensor includes eliminating single-point error. The preprocessing method of the original data from the electric leakage sensor includes distinguishing transient interference from continuous electric leakage. The environmental temperature data and the environmental humidity data can not be preprocessed.

[0052] In step 102, a plurality of threshold values are respectively determined.

[0053] In step 102, the plurality of thresholds comprises a liquid level threshold, a weight threshold, a leakage current threshold, and a humidity threshold.

[0054] In some embodiments, as shown in FIG. 3, the method of implementing step 102 comprises steps 301-303. Figure 3

[0055] In step 301, a liquid level original threshold, a weight threshold, a leakage current original threshold, and a humidity threshold are respectively set.

[0056] It can be understood that the liquid level original threshold, the weight threshold, the leakage current original threshold, and the humidity threshold can be preset values.

[0057] In step 302, a liquid level dynamic threshold is determined according to the ambient temperature data and the liquid level original threshold.

[0058] In step 302, the liquid level threshold is the liquid level dynamic threshold.

[0059] In some embodiments, the method of implementing step 302 comprises: in response to the ambient temperature data being lower than a first preset temperature, determining the liquid level dynamic threshold to be n times the liquid level original threshold, n being greater than 1.

[0060] It can be understood that in the case of low ambient temperature data, there may be icing conditions, and the volume of solid water is greater than that of liquid water, so the liquid level threshold can be increased. For example, the first preset temperature is 0°C, and the first preset value is 1.1.

[0061] In step 303, a leakage current dynamic threshold is determined according to the ambient humidity data and the leakage current original threshold.

[0062] In step 303, the leakage current threshold is the leakage current dynamic threshold.

[0063] In some embodiments, the method of implementing step 303 comprises: in response to the ambient humidity data being higher than a first preset humidity, determining the leakage current dynamic threshold to be m times the leakage current original threshold, m being greater than 0 but less than 1.

[0064] It can be understood that in the case of high humidity, the risk of leakage is also increased, so the leakage current threshold needs to be reduced. For example, the first preset humidity is 80%, and m is 0.8.

[0065] In step 103, a risk level is determined according to the plurality of detection data and the plurality of thresholds.

[0066] In some embodiments, as shown in FIG. 4, the method of implementing step 103 comprises steps 401-402. Figure 4

[0067] ​​Step 401, determining a risk score according to a plurality of detection data and a plurality of thresholds.

[0068] In some embodiments, the implementation method of step 401 comprises determining the risk score according to formula (1).

[0069]

[0070] In formula (1), R is the risk score, a and b are weight coefficients respectively, P is the bearing data of the outdoor advertising board, P max is the bearing threshold, h is the liquid level data of the accumulated water in the outdoor advertising board, h max is the liquid level dynamic threshold, I is the leakage current, I max is the leakage current dynamic threshold, H is the environmental humidity data, H max is the humidity threshold.

[0071] Understandably, too high liquid level, too high pressure or too large leakage current can all directly cause the outdoor advertising board to collapse, and the liquid level data of the accumulated water in the outdoor advertising board, the bearing data of the outdoor advertising board and the leakage current can be artificially considered as direct risks of the collapse of the outdoor advertising board, and the environmental humidity can indicate the existence of potential water accumulation or corrosion risk, so the environmental humidity data can be artificially considered as an indirect risk of the collapse of the outdoor advertising board. By setting different weight coefficients respectively, the direct risk and the indirect risk are data fused, which can make the risk detection more comprehensive.

[0072] Illustratively, the values of a and b can be set according to historical accident data, if there is no historical accident data, a can be set as 0.8 and b can be set as 0.2, and then the values of a and b can be adjusted according to the recorded accident data.

[0073] Step 402, determining a risk level according to the risk score, the plurality of detection data and the plurality of thresholds.

[0074] In some embodiments, the implementation method of step 402 comprises determining that the risk level is a pre-warning alarm in response to that the risk score is greater than or equal to a risk score threshold, and the bearing data of the outdoor advertising board is less than or equal to the bearing threshold, the liquid level data of the accumulated water in the outdoor advertising board is less than or equal to the liquid level dynamic threshold, and the leakage current is less than or equal to the leakage current dynamic threshold.

[0075] Understandably, if the bearing data of the outdoor advertising board is less than or equal to the bearing threshold, the liquid level data of the accumulated water in the outdoor advertising board is less than or equal to the liquid level dynamic threshold, and the leakage current is less than or equal to the leakage current dynamic threshold, it can be considered that there is no risk temporarily, but if the risk score is greater than or equal to the risk score threshold, it can be considered that there is a risk, at this time, only a pre-warning can be made.

[0076] Exemplarily, the risk score threshold value can be set according to historical accident data. If there is no historical accident data, the risk score threshold value can be set as 0.7 first, and then the value of the risk score threshold value can be adjusted according to the recorded accident data.

[0077] In some embodiments, the implementation method of step 402 includes: determining the risk level as an urgent warning in response to the load-bearing data of the outdoor advertising board being greater than the load-bearing threshold value, or the liquid level data of the accumulated water in the outdoor advertising board being greater than the liquid level dynamic threshold value, or the leakage current being greater than the leakage current dynamic threshold value.

[0078] Understandably, any one of the three situations that the load-bearing data of the outdoor advertising board is greater than the load-bearing threshold value, or the liquid level data of the accumulated water in the outdoor advertising board is greater than the liquid level dynamic threshold value, or the leakage current is greater than the leakage current dynamic threshold value, can cause the advertising board to collapse, so the situation is relatively urgent, and thus any one of the three situations can determine the risk level as an urgent warning.

[0079] Step 104: determining a response measure according to the risk level and implementing the response measure.

[0080] In some embodiments, the implementation method of step 104 includes: in response to the risk level being an urgent warning, the response measure includes: determining the nearest maintenance team and assigning a work order to the nearest maintenance team, and simultaneously notifying the nearest maintenance team through a short message and a mobile phone.

[0081] Exemplarily, a risk detection platform can be built on the user side or the insurance company side, and the real-time positions of the maintenance teams and the positions of the outdoor advertising boards can be determined through a global positioning system (GPS), so that the nearest maintenance team to the current advertising board can be determined through the detection platform. In this way, in a relatively urgent situation, a work order can be automatically assigned to the nearest maintenance team through the risk detection platform, and telephone notification and short message notification can be simultaneously performed, so that the nearest maintenance team can prioritize the operation and maintenance of the outdoor advertising board with an urgent warning risk level.

[0082] Exemplarily, when notifying the maintenance team, the maintenance personnel can be reminded by the risk detection platform to arrive at the scene within 1 hour, and maintenance data such as drainage records and leakage repair certificates can be recorded.

[0083] In some embodiments, the implementation method of step 104 includes: in response to the risk level being a pre-warning, the response measure includes: pushing a risk log to a manager to remind the manager to pay attention.

[0084] Understandably, the manager can arrange operation and maintenance as appropriate after receiving the risk log.

[0085] In some embodiments, as shown in Figure 5 The outdoor advertising board waterlogging and overturning risk detection method further includes steps 501 to 503.

[0086] Step 501, obtaining maintenance record data.

[0087] Step 502, recording alarm event data.

[0088] In step 502, the alarm event data includes the risk level of each alarm and the response measures taken.

[0089] Step 503, uploading the plurality of detection data, the maintenance record data, and the alarm event data to a blockchain database for storage.

[0090] It can be understood that through the blockchain technology, detailed historical data can be recorded, and the data can be ensured not to be tampered with.

[0091] Some embodiments of the present application provide an outdoor advertising board waterlogging and overturning risk detection method, which realizes 24-hour unmanned monitoring through Internet of Things sensors, adopts multi-sensor fusion (liquid level + pressure + current + temperature), comprehensively covers the risks, and adopts a dynamic threshold algorithm to improve the early warning accuracy. It can be stored in a blockchain to ensure that the data cannot be tampered with, facilitate the tracing of accident responsibilities, and also be able to automatically maintain and dispatch (through GPS navigation + priority dispatching), thereby improving the response speed.

[0092] The outdoor advertising board waterlogging and overturning risk detection method provided by some embodiments of the present application will be described below with reference to a specific example.

[0093] 1. System deployment

[0094] Sensor installation:

[0095] An ultrasonic liquid level sensor is installed vertically at the bottom of the advertising board, with a range of 0-5 meters and an accuracy of ±1 cm. Waterproof pressure resistance type pressure sensors are symmetrically installed at the top and bottom of the advertising board support, with a range of 0-500 kg and an accuracy of ±0.5%. A leakage sensor is installed inside the advertising board electrical box, with a detection range of 0-30 mA. A capacitive humidity sensor is installed inside the advertising board or at the ventilation of the leakage, with a detection range of 0-100% RH. A thermocouple type temperature sensor is installed at the ventilation of the advertising board, with a detection range of -100℃ to 100℃.

[0096] Communication module configuration:

[0097] All sensors send data through a LoRa wireless network with a transmission interval of 1 minute.

[0098] 2. Dynamic threshold setting

[0099] Benchmark threshold (i.e., original threshold):

[0100] Liquid level height threshold: h max = 0.3 meters (calculated based on the internal volume of the billboard).

[0101] Load bearing threshold: P max = 400 kilograms (based on the design load-bearing capacity of the support).

[0102] Leakage current threshold I max = 10 mA (based on electrical safety standards).

[0103] Environmental humidity threshold: H max = 80% RH (based on historical accident data).

[0104] Risk score threshold: R max = 1.

[0105] Dynamic adjustment (i.e., dynamic threshold):

[0106] When temperature T < 0°C, the liquid level threshold is increased by 20%.

[0107] When humidity H > 80%, the leakage threshold is reduced to 5 mA.

[0108] 3. Data collection and risk scoring

[0109] Real-time data:

[0110] Liquid level height h = 0.25 meters.

[0111] Load bearing value P = 350 kilograms.

[0112] Leakage current I = 3 mA.

[0113] Environmental humidity H = 75% RH.

[0114] Comprehensive risk score calculation:

[0115] According to formula (1):

[0116] Comprehensive score R = 1.7875.

[0117] 4. Alarm triggering and response

[0118] All indicators do not exceed the threshold, and no level 1 alarm (i.e., emergency alarm) is triggered. The comprehensive score R = 1.7875 > 1.0, triggering a level 2 alarm (i.e., early warning alarm), pushing the risk log to the manager: "Billboard ID-A001, comprehensive risk score 1.7875, there is a risk of water accumulation."

[0119] 5. Data evidence and optimization

[0120] Blockchain storage: alarm events, maintenance records, sensor data are stored on the chain to ensure tamper resistance.

[0121] Model optimization: based on the data of this event, optimize the weight coefficients α, β, and improve the accuracy of future warnings.

[0122] Embodiment effects

[0123] 1. Real-time: from sensor data collection to alarm triggering, the whole process takes less than 1 minute, significantly better than traditional manual inspection (usually takes several hours).

[0124] 2. Precision: through dynamic threshold adjustment and multi-sensor data fusion, the false alarm rate is reduced to below 5%.

[0125] 3. Traceability: blockchain storage provides reliable evidence for accident liability determination, reducing legal disputes.

[0126] Some embodiments of the present application provide an outdoor advertising board water accumulation and overturning risk detection system, as shown in Figure 6 The outdoor advertising board water accumulation and overturning risk detection system 600 includes a detection data acquisition module 601, a threshold determination module 602, a risk level determination module 603, and a response measure determination module 604.

[0127] The detection data acquisition module 601 is configured to acquire multiple detection data in real time, respectively. The multiple detection data includes liquid level data of water accumulation in the outdoor advertising board, bearing data of the outdoor advertising board, leakage current, environmental temperature data, and environmental humidity data.

[0128] In some embodiments, the detection data acquisition module 601 is configured to acquire raw data from multiple detection devices in real time, respectively. And, the multiple detection data is obtained from the raw data from the multiple detection devices or the data after preprocessing the raw data from the multiple detection devices, respectively.

[0129] In some embodiments, the outdoor advertising board water accumulation and overturning risk detection system 600 further includes multiple detection devices. The multiple detection devices include a liquid level sensor, a pressure sensor, a leakage sensor, a humidity sensor, and a temperature sensor. The liquid level sensor is arranged at the bottom of the interior of the outdoor advertising board for measuring the liquid level data of the water accumulation in the outdoor advertising board. The number of pressure sensors is two, and the two pressure sensors are arranged at the top and bottom of the support of the outdoor advertising board, respectively, for measuring the bearing data of the outdoor advertising board. The leakage sensor is arranged in or near the electrical box of the outdoor advertising board. The humidity sensor is arranged near the electrical box of the outdoor advertising board or at the ventilation place in the outdoor advertising board. The temperature sensor is arranged at the ventilation place in the outdoor advertising board.

[0130] The threshold determination module 602 is configured to determine a plurality of thresholds respectively. The plurality of thresholds comprises a liquid level threshold, a load bearing threshold, a leakage current threshold and a humidity threshold.

[0131] In some embodiments, the threshold determination module 602 is configured to set a liquid level original threshold, a load bearing threshold, a leakage current original threshold and a humidity threshold respectively. A liquid level dynamic threshold is determined according to the environmental temperature data and the liquid level original threshold. And, a leakage current dynamic threshold is determined according to the environmental humidity data and the leakage current original threshold. The leakage current threshold is the leakage current dynamic threshold. The liquid level threshold is the liquid level dynamic threshold.

[0132] In some embodiments, in the case that the liquid level dynamic threshold is determined according to the environmental temperature data and the liquid level original threshold, the threshold determination module 602 is configured to determine the liquid level dynamic threshold as n times of the liquid level original threshold in response to the environmental temperature data being lower than a first preset temperature, n being greater than 1.

[0133] In some embodiments, in the case that the leakage current dynamic threshold is determined according to the environmental humidity data and the leakage current original threshold, the threshold determination module 602 is configured to determine the leakage current dynamic threshold as m times of the leakage current original threshold in response to the environmental humidity data being higher than a first preset humidity, m being greater than 0 but less than 1.

[0134] The risk level determination module 603 is configured to determine a risk level according to the plurality of detection data and the plurality of thresholds.

[0135] In some embodiments, the risk level determination module 603 is configured to determine a risk score according to the plurality of detection data and the plurality of thresholds. And, determine the risk level according to the risk score, the plurality of detection data and the plurality of thresholds.

[0136] In some embodiments, in the case that the risk score is determined according to the plurality of detection data and the plurality of thresholds, the risk level determination module 603 is configured to determine the risk score according to the formula . Wherein, R is the risk score, a and b are weight coefficients respectively, P is the load bearing data of the outdoor advertising board, P max is the load bearing threshold, h is the liquid level data of the accumulated water in the outdoor advertising board, h max is the liquid level dynamic threshold, I is the leakage current, I max is the leakage current dynamic threshold, H is the environmental humidity data, H max is the humidity threshold.

[0137] In some embodiments, the risk level determination module 603 is configured to, in the case of determining the risk level according to the risk score, the plurality of detection data and the plurality of threshold values, determine the risk level as a pre-warning alarm in response to the risk score being greater than or equal to a risk score threshold value, the load-bearing data of the outdoor advertising board being less than or equal to a load-bearing threshold value, the liquid level data of the accumulated water in the outdoor advertising board being less than or equal to a liquid level dynamic threshold value, and the leakage current being less than or equal to a leakage current dynamic threshold value. In addition, the risk level is determined as an emergency warning in response to the load-bearing data of the outdoor advertising board being greater than the load-bearing threshold value, or the liquid level data of the accumulated water in the outdoor advertising board being greater than the liquid level dynamic threshold value, or the leakage current being greater than the leakage current dynamic threshold value.

[0138] The response measure determination module 604 is configured to determine the response measure according to the risk level and implement the response measure.

[0139] In some embodiments, the response measure determination module 604 is configured to, in response to the risk level being an emergency warning, the response measure including: determining the closest maintenance team, and assigning a work order to the closest maintenance team, and simultaneously notifying the closest maintenance team through a short message and a mobile phone. In addition, in response to the risk level being a pre-warning alarm, the response measure including: pushing the risk log to the management personnel to remind the management personnel to pay attention.

[0140] In some embodiments, as shown in Figure 7 The outdoor advertising board accumulated water and collapse risk detection system 600 further includes a data storage module 605, which is configured to: obtain maintenance record data, record alarm event data, and upload the plurality of detection data, the maintenance record data and the alarm event data to a block chain database for storage. The alarm event data includes the risk level of each alarm and the response measure taken.

[0141] The specific scheme and beneficial effects of the outdoor advertising board accumulated water and collapse risk detection system provided by the embodiments of the present application can be referred to the related description of the outdoor advertising board accumulated water and collapse risk detection method provided by the embodiments of the present application, which will not be repeated here.

[0142] Some embodiments of the present application provide a computer device, as shown in Figure 8 The computer device 800 includes a memory 801 and a processor 802, and the memory 801 stores a computer program. When the processor 802 runs the computer program stored in the memory 801, the processor 802 executes the outdoor advertising board accumulated water and collapse risk detection method described above.

[0143] The specific scheme and beneficial effects of the computer device provided by some embodiments of the present application can be referred to the related description of the outdoor advertising board accumulated water and collapse risk detection system provided by some embodiments of the present application, which will not be repeated here.

[0144] Some embodiments of the present application provide a computer readable storage medium, having stored thereon a computer program, which, when executed by a processor, causes the processor to perform the outdoor advertising board waterlogging lodging risk detection method described above.

[0145] The specific scheme and beneficial effects of the computer readable storage medium provided by some embodiments of the present application can refer to the related description of the outdoor advertising board waterlogging lodging risk detection system provided by some embodiments of the present application, which will not be described here again.

[0146] It can be understood that the above implementation manners are only exemplary implementation manners adopted for illustrating the principles of the present application, and the present application is not limited thereto. Various modifications and improvements can be made by those of ordinary skill in the art without departing from the spirit and essence of the present application, and these modifications and improvements are also considered to be within the protection scope of the present application.

Claims

1. A method for detecting the risk of outdoor billboards collapsing due to waterlogging, characterized in that: include: Acquire multiple detection data in real time respectively; the multiple detection data include liquid level data of water accumulated in the outdoor billboard, load-bearing data of the outdoor billboard, leakage current, ambient temperature data and ambient humidity data; the leakage current is the leakage current of the electrical box of the outdoor billboard; Determine multiple thresholds respectively; the multiple thresholds include a liquid level threshold, a load threshold, a leakage current threshold, and a humidity threshold; determining a risk level based on the plurality of detection data and the plurality of thresholds; as well as Determine response measures based on risk level and implement said response measures.

2. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 1, characterized in that: The acquiring of a plurality of detection data comprises: The raw data from multiple detection devices are respectively acquired in real time; the multiple detection devices include a liquid level sensor, a pressure sensor, a leakage sensor, a humidity sensor, and a temperature sensor; the liquid level sensor is arranged at the bottom inside the outdoor billboard, and is used to measure the liquid level data of the water accumulated in the outdoor billboard; the number of the pressure sensors is two, and the two pressure sensors are respectively arranged at the top and bottom of the bracket of the outdoor billboard, and are used to measure the load-bearing data of the outdoor billboard; the leakage sensor is arranged in or near the electrical box of the outdoor billboard; the humidity sensor is arranged near the electrical box of the outdoor billboard or in a ventilated place inside the outdoor billboard; the temperature sensor is arranged in a ventilated place inside the outdoor billboard; and A plurality of detection data are obtained based on the original data from the plurality of detection devices; the plurality of detection data are the original data from the plurality of detection devices or data after pre-processing the original data from the plurality of detection devices respectively.

3. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 1, characterized in that: Determining multiple thresholds separately includes: Set the original threshold of liquid level, load-bearing threshold, leakage current original threshold and humidity threshold respectively; Determine a liquid level dynamic threshold value according to the ambient temperature data and the liquid level original threshold value; the liquid level threshold value is the liquid level dynamic threshold value; and A leakage current dynamic threshold is determined according to the environmental humidity data and the leakage current original threshold; the leakage current threshold is the leakage current dynamic threshold.

4. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 3, characterized in that: The determining of the liquid level dynamic threshold value according to the ambient temperature data and the original liquid level threshold value includes: In response to the ambient temperature data being lower than a first preset temperature, the liquid level dynamic threshold is determined to be n times the liquid level original threshold, where n is greater than 1.

5. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 3, characterized in that: The determining of the dynamic leakage current threshold according to the ambient humidity data and the original leakage current threshold comprises: In response to the environmental humidity data being higher than a first preset humidity, the dynamic threshold value of the leakage current is determined to be m times the original threshold value of the leakage current, where m is greater than 0 but less than 1.

6. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 3, characterized in that: Determining the risk level according to the plurality of detection data and the plurality of thresholds includes: determining a risk score based on the plurality of detection data and the plurality of thresholds; and A risk level is determined based on the risk score, the plurality of detection data, and the plurality of thresholds.

7. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 6, characterized in that: Determining the risk score according to the plurality of detection data and the plurality of thresholds includes: According to the formula Determine the risk score; where R is the risk score, α and β are weight coefficients, P is the load-bearing data of the outdoor billboard, P max is the load-bearing threshold, h is the liquid level data of the water in the outdoor billboard, and h max is the liquid level dynamic threshold, I is the leakage current, I max is the leakage current dynamic threshold, H is the ambient humidity data, and H max is the humidity threshold.

8. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 6, characterized in that: Determining the risk level according to the risk score, the plurality of detection data, and the plurality of thresholds includes: In response to the risk score being greater than or equal to a risk score threshold, the load-bearing data of the outdoor billboard being less than or equal to the load-bearing threshold, the liquid level data of the accumulated water in the outdoor billboard being less than or equal to the liquid level dynamic threshold, and the leakage current being less than or equal to the leakage current dynamic threshold, determining the risk level to be a warning alarm; and In response to the load-bearing data of the outdoor billboard being greater than the load-bearing threshold, or the liquid level data of the accumulated water in the outdoor billboard being greater than the liquid level dynamic threshold, or the leakage current being greater than the leakage current dynamic threshold, the risk level is determined to be an emergency alarm.

9. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 8, characterized in that: Determining response measures based on risk levels and implementing the response measures include: In response to an emergency alert, the response measures include: identifying the nearest maintenance team, issuing a work order to the nearest maintenance team, and simultaneously notifying the nearest maintenance team via SMS and mobile phone; and In response to the risk level being a warning alarm, the response measures include: pushing the risk log to the management personnel to alert the management personnel.

10. The method for detecting the risk of outdoor billboards collapsing due to waterlogging according to claim 9, characterized in that: Also includes: Obtain maintenance record data; Record alarm event data; the alarm event data includes the risk level of each alarm and the response measures taken; as well as The plurality of detection data, the maintenance record data, and the alarm event data are uploaded to a blockchain database for storage.

11. A system for detecting the risk of outdoor billboards collapsing due to waterlogging, characterized in that: include: A detection data acquisition module is configured to respectively acquire a plurality of detection data in real time; the plurality of detection data includes liquid level data of accumulated water in the outdoor billboard, load-bearing data of the outdoor billboard, leakage current, ambient temperature data, and ambient humidity data; A threshold determination module is configured to: determine a plurality of thresholds respectively; the plurality of thresholds include a liquid level threshold, a load-bearing threshold, a leakage current threshold, and a humidity threshold; a risk level determination module configured to: determine a risk level based on the plurality of detection data and the plurality of thresholds; as well as The response measure determination module is configured to: determine a response measure according to the risk level and implement the response measure.

12. A computer device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes the method for detecting the risk of outdoor billboards being collapsed due to water accumulation according to any one of claims 1 to 10.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the processor executes the method for detecting the risk of outdoor billboards falling down due to water accumulation according to any one of claims 1 to 10.

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