Emergency lighting device, system and method for flood disasters

Abstract

The invention relates to the technical field of lighting control, and particularly discloses an emergency lighting device, system and method for flood disasters, and the system comprises a cloud server and a plurality of lighting terminals. The lighting terminal comprises a lamp body, a self-checking sensor, a liquid level sensor and a transmission module; the lamp body is installed in an overhead layer of a periodic submerged area, and the self-checking sensor is used for detecting the working state of the lamp body. The liquid level sensor is used for detecting the submerging height in the overhead layer; the transmission module is used for uploading the working state data and the submerging height data to the cloud server; the cloud server is used for judging whether the state of the lamp body is normal or not according to the working state data, and if not, marking the lamp as a fault lamp; and judging whether the submerging height is greater than a first threshold, and if so, marking the lamp as a fault lamp. By adopting the technical scheme of the invention, the probability of damage to the overhead lighting facility is reduced, and the faulty lighting facility can be found in time.

Description

Technical Field

[0001] The present invention relates to the field of lighting control technology, and in particular to an emergency lighting device, system and method for flood disasters. Background Art

[0002] Because of periodic flooding, urban waterfront ebb and flow zones often do not have permanent lighting facilities. Even if they are installed, the lamps are placed above the flood line by means of poles. However, there are overhead layers formed by existing buildings in the core built-up areas, such as Figure 1 As shown, due to the height of the floor, it is not possible to erect poles, while the need to expand functions requires the installation of lighting facilities in this area.

[0003] How to reduce the probability of damage to overhead lighting facilities and detect faulty lighting facilities in a timely manner has become a problem that needs to be solved. Summary of the invention

[0004] One of the purposes of the present invention is to provide an emergency lighting system for flood disasters, which can reduce the probability of damage to overhead lighting facilities and detect faulty lighting facilities in a timely manner.

[0005] In order to solve the above technical problems, this application provides the following technical solutions:

[0006] Emergency lighting system for flood disasters, including a cloud server and several lighting terminals;

[0007] The lighting terminal includes a lamp body, a self-test sensor, a liquid level sensor and a transmission module; the lamp body is installed in the overhead layer of the periodic flooding area, and the self-test sensor is used to detect the working state of the lamp body; the liquid level sensor is installed in the overhead layer of the periodic flooding area corresponding to the lamp body, and is used to detect the flooding height in the overhead layer; the transmission module is used to obtain the working state data from the self-test sensor, obtain the flooding height data from the liquid level sensor, and upload the working state data and the flooding height data to the cloud server;

[0008] The cloud server is used to determine whether the status of the lamp body is normal based on the working status data. If not, it is marked as a faulty lamp. It is also used to determine whether there is valid flooding height data. If so, it determines whether the flooding height is greater than a first threshold. If it is greater than the first threshold, it is marked as a faulty lamp.

[0009] Further, the cloud server includes a data preprocessing module, a status analysis module, and a plan generation module;

[0010] The data preprocessing module is used to clean and standardize the working status data and flooding height data of each lighting terminal;

[0011] The status analysis module is used to determine whether the status of the lamp body is normal based on the processed working status data. If the status is abnormal, it is marked as a faulty lamp;

[0012] The state analysis module is also used to determine whether there is valid flooding height data, and if so, determine whether the flooding height is greater than a first threshold, and if greater than the first threshold, mark the lamp as a faulty lamp;

[0013] The plan generation module is used to generate a maintenance plan based on faulty lamps.

[0014] Furthermore, the state analysis module is also used to obtain the starting time when the flooding height is greater than the second threshold and the ending time when the flooding height is less than the second threshold when the flooding height is not greater than the first threshold; the flooding height data from the starting time to the end time is input into the pre-trained anomaly detection model, and the judgment result of silt blockage is obtained from the anomaly detection model. If the result is that the lamp is contaminated with silt, it is marked as a faulty lamp.

[0015] Furthermore, the plan generation module pre-stores the installation location information of the lamp body and the impact severity grades of different installation locations. The plan generation module is used to determine the installation location of the faulty lamp, determine the impact severity grade according to the installation location, and determine the maintenance priority; and generate a maintenance plan according to the priority.

[0016] A second object of the present invention is to provide an emergency lighting method for flood disasters, comprising the following steps:

[0017] S1. Install the lamp body and liquid level sensor in the overhead layer of the periodic flooding area;

[0018] S2, detecting the working status of the lamp body through the self-test sensor;

[0019] S3, detecting the submerged height in the overhead layer by means of a liquid level sensor; the submerged height refers to the distance between the water surface and the top of the overhead layer;

[0020] S4, uploading the working status data and the flooding height data to the cloud server;

[0021] S5. The cloud server cleans and standardizes the working status data and flooding height data of each lighting terminal;

[0022] S6. judging whether the state of the lamp body is normal according to the processed working state data; if the state is abnormal, marking it as a faulty lamp;

[0023] S7, determining whether there is valid flooding height data, if so, determining whether the flooding height is greater than a first threshold, if greater than the first threshold, marking the lamp as a faulty lamp;

[0024] S8. Generate a maintenance plan based on the faulty lamp.

[0025] Furthermore, in step S7, if the flooding height is not greater than the first threshold, the starting time when the flooding height is greater than the second threshold and the ending time when the flooding height is less than the second threshold are obtained; the flooding height data from the starting time to the ending time are input into the pre-trained anomaly detection model, and the judgment result of silt blockage is obtained from the anomaly detection model. If the result is that the lamp is contaminated with silt, it is marked as a faulty lamp.

[0026] Further, the step S1 specifically includes:

[0027] S101, query the meteorological conditions in the installation area to obtain wind force and hydrological data, and obtain wave height;

[0028] S102, determine whether there is an overhead layer with a beam groove in the installation area. If so, determine the installation height of the lamp according to the wave height and the net height of the beam groove in the overhead layer of the installation area. If not, select the highest position that meets the lighting requirements to install the lamp body, record the installation position of the corresponding lamp body, and jump to S107;

[0029] S103. Connect the waterproof and sealed cables to the lower edge of the floor slab on the top of the overhead layer, connect them to the holes where the lamps need to be installed through the holes through the beams, and seal the holes through the beams; fix the cables connected to the holes in the holes close to the bottom of the slab and center them;

[0030] S104, by measuring and checking the bottom height of a circle of beams around the hole, select the side with the minimum beam height as the measurement reference value; measure upward from this reference value to reserve the required wave height, and mark the position of this height line;

[0031] S105, debug the lamp body at the cable interface, and ensure that the lowest point of the lamp body is higher than the wave height mark line when the installation height is met; if the lowest point of the lamp body is not higher than the wave height mark line, record the installation position of the corresponding lamp body, and jump to S107;

[0032] S106, fix the lamp body and complete the installation;

[0033] S107, install the liquid level sensor and record the installation position, calculate the distance from the lowest detection height of the liquid level sensor to the lowest point of the lamp body as the first threshold; set the second threshold, and the distance from the height of the second threshold to the lowest point of the lamp body is the wave height.

[0034] Furthermore, the formula for selecting the installation height is: Hs=H-ΔH, wherein Hs is the installation height of the lamp, H is the net height of the beam groove, and ΔH is the wave height.

[0035] A third object of the present invention is to provide an emergency lighting device for flood disasters using the above system.

[0036] This solution fully considers the actual installation environment, such as the wave height of the inland river, the net height of the overhead floor and other factors. Through precise calculation, different installation methods are selected under different flooding conditions to reduce failures caused by flooding.

[0037] For the lamp body installed in the beam groove, the lowest point is higher than the wave height mark line, and the probability of being submerged by floods is low. Only the self-test sensor is used to detect the working status of the lamp body, which can effectively reduce costs. For lamp bodies with other installation forms, fault detection is combined with liquid level sensors to achieve automated management and maintenance of lamps, which greatly reduces the workload of manual inspections and improves management efficiency and accuracy. Using deep learning models to analyze the submerged height data collected by the liquid level sensor can identify the impact of waves on the lamp body, thereby improving the comprehensiveness of detection.

[0038] In summary, this solution can reduce the probability of damage to overhead lighting facilities and detect faulty lighting facilities in a timely manner. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a schematic diagram of the existing overhead layer.

[0040] Figure 2 This is a logic block diagram of an emergency lighting system for flood disasters according to Embodiment 1;

[0041] Figure 3 It is a schematic diagram of the inland river wave height in Example 1;

[0042] Figure 4 This is a schematic diagram of the partial flooding stage of the overhead layer in Example 1;

[0043] Figure 5 This is a schematic diagram of the stage in which the overhead layer is completely submerged in the first embodiment;

[0044] Figure 6 It is a schematic diagram of the complete submergence stage in the simulation experiment of Example 2;

[0045] Figure 7 This is a schematic diagram of the simulation experiment in Example 2 after the water recedes. DETAILED DESCRIPTION

[0046] The following is further described in detail through specific implementation methods:

[0047] Embodiment 1

[0048] like Figure 2 As shown, the emergency lighting system for flood disasters of this embodiment includes: a cloud server and a plurality of lighting terminals;

[0049] The lighting terminal includes a lamp body, a self-test sensor, a liquid level sensor and a transmission module;

[0050] The luminaire itself is installed in the overhead layer of the periodically flooded area;

[0051] The self-test sensor is used to detect the working status of the lamp body;

[0052] The liquid level sensor is installed in the overhead layer of the periodic flooding area corresponding to the lamp body, and is used to detect the flooding height in the empty layer; the flooding height refers to the distance between the current water surface height and the lowest detection height of the liquid level sensor;

[0053] The transmission module is used to obtain the working status data from the self-test sensor, obtain the submerged height data from the liquid level sensor, and upload the working status data and submerged height data to the cloud server;

[0054] The cloud server includes a data preprocessing module, a status analysis module, and a plan generation module.

[0055] The data preprocessing module is used to clean and standardize the working status data and flood height data of each lighting terminal, including deleting records with a large number of missing values, filling records with fewer missing values ​​with interpolation, detecting and deleting outliers in the data based on preset rules, and setting the data format and unit to be consistent.

[0056] The status analysis module is used to determine whether the status of the lamp body is normal based on the processed working status data. If the status is abnormal, it is marked as a faulty lamp. In this embodiment, the working status data is current data. When lighting is enabled, if the current data is within a preset range, the status is normal, otherwise the status is not supported.

[0057] The state analysis module is also used to determine whether there is valid flooding height data, and if so, determine whether the flooding height is greater than a first threshold, and if greater than the first threshold, mark the lamp as a faulty lamp;

[0058] If it is not greater than the first threshold, obtain the starting time when the flooding height is greater than the second threshold, and the ending time when the flooding height is less than the second threshold; input the flooding height data from the starting time to the ending time into the pre-trained anomaly detection model, and obtain the judgment result of silt blockage from the anomaly detection model. If the result is that the lamp is contaminated with silt, mark it as a faulty lamp. Among them, the distance between the height of the second threshold and the lowest point of the lamp body is the wave height;

[0059] The anomaly detection model extracts the time series characteristics of the rate of change of the water level from the flooding height data to determine whether the wave covers the lamp body, thereby determining whether the lamp body is likely to be blocked by silt. In this embodiment, the anomaly detection model uses a deep learning model of a long short-term memory network (LSTM) to process time series data and capture long-term dependencies and nonlinear changes. The flooding height data collected by artificial wave generation can be used as a training data set.

[0060] The plan generation module is used to generate a maintenance plan based on the faulty lamp. In this embodiment, the installation location information of the lamp body and the severity level of the impact of different installation locations are pre-stored to determine the installation location of the faulty lamp, determine the severity level of the impact based on the installation location, and determine the priority of maintenance; the higher the severity level (i.e., the more serious), the higher the priority. The maintenance plan is generated based on the priority, including the order of maintenance (the higher the priority, the earlier the maintenance order), the location of the lamp, the estimated completion time, etc.

[0061] Based on the above system, this embodiment also provides an emergency lighting method for flood disasters, including the following steps:

[0062] S1. Install the lamp body and liquid level sensor in the overhead layer of the periodic flooding area; the specific steps are as follows:

[0063] S101. Query the meteorological conditions in the installation area to obtain basic data such as wind force and hydrology, and obtain wave height. Figure 3 As shown, according to existing research, the height of inland river waves depends on wind speed and water depth, and the wave height shows a positive growth with the increase of both. The daily average wind speed in inland cities in China is 2.5m / s, and the maximum average is 4m / s.

[0064] S102. Determine whether there is an overhead layer with a beam groove in the installation area. If so, determine the installation height of the lamp according to the wave height and the net height of the beam groove in the installation area. The formula for selecting the installation height is: Hs=H-△H, where Hs is the installation height of the lamp, H is the net height of the beam groove, and △H is the wave height. If not, select the highest position that meets the lighting requirements to install the lamp body, record the installation position of the corresponding lamp body, and jump to S107. The lighting requirements include the coverage and brightness of the light. The lamp body needs to maintain a certain interval and cannot be too high (the brightness within the coverage range will be weakened). Therefore, the highest position that meets the lighting requirements can be obtained according to the actual situation.

[0065] S103. Connect the waterproof and sealed cables to the lower edge of the floor slab on the top of the overhead layer, connect them to the holes where the lamps need to be installed through the holes through the beams, and seal the holes through the beams; fix the cables connected to the holes in the holes close to the bottom of the slab and center them;

[0066] S104, by measuring and checking the bottom height of a circle of beams around the hole, select the side with the smallest beam height as the measurement reference value; measure upward from this reference value to leave the required wave height, and mark the height line position;

[0067] S105, debug the lamp body at the cable interface, and ensure that the lowest point of the lamp body is higher than the wave height mark line when the installation height is met; if the lowest point of the lamp body is not higher than the wave height mark line, record the installation position of the corresponding lamp body, and jump to S107;

[0068] S106. Fix the lamp body and check that the lowest point of the lamp after installation is higher than the height mark line. The installation is complete.

[0069] S107, install the liquid level sensor and record the installation position, calculate the distance from the lowest detection height of the liquid level sensor to the lowest point of the lamp body as the first threshold; set the second threshold, and the distance from the height of the second threshold to the lowest point of the lamp body is the wave height;

[0070] S2, detecting the working status of the lamp body through the self-test sensor;

[0071] S3, detecting the flooding height in the overhead layer by means of a liquid level sensor; the flooding height refers to the distance between the current water surface height and the lowest detection height of the liquid level sensor;

[0072] S4, uploading the working status data and the flooding height data to the cloud server;

[0073] S5. The cloud server cleans and standardizes the working status data and flooding height data of each lighting terminal;

[0074] S6. judging whether the state of the lamp body is normal according to the processed working state data; if the state is abnormal, marking it as a faulty lamp;

[0075] S7, determining whether there is valid flooding height data, if so, determining whether the flooding height is greater than a first threshold, if greater than the first threshold, marking the lamp as a faulty lamp;

[0076] If it is not greater than the first threshold, obtain the starting time when the flooding height is greater than the second threshold, and the ending time when the flooding height is less than the second threshold; input the flooding height data from the starting time to the end time into the pre-trained anomaly detection model, and obtain the judgment result of silt blockage from the anomaly detection model. If the result is that the lamp is contaminated with silt, mark it as a faulty lamp; through the flooding height change data between the second threshold and the first threshold, the wave situation can be effectively identified, thereby identifying the situation where the wave splashes onto the lamp body and causes the lamp body to be contaminated with silt.

[0077] S8. Generate a maintenance plan based on the faulty lamp.

[0078] This embodiment also provides an emergency lighting device for flood disasters, using the above system.

[0079] The current net height of the overhead floor is usually within 5 meters. The wave height of the inland river is usually 20 cm, and the maximum wave height is 40 cm. According to the existing construction technical conditions, the beam height of the conventional concrete frame structure of the overhead floor ranges from 60 to 90 cm. If there is a beam groove in the installation area, it can meet the maximum safety height reservation. Figure 4 and Figure 5 As shown, after being flooded, the top of the elevated floor will form reverse grooves of different sizes due to the separation of the beam grooves of the structural beams. The grooves and the flooded water surface together form a closed air box. By utilizing this space and calculating the safe height of the air box, the lighting fixtures of the elevated floor can be installed on the top of the grooves, above the safe height. Even if ordinary lamps are used, they can be prevented from being submerged by floods.

[0080] The solution of this embodiment fully considers the actual installation environment, such as the wave height of the inland river, the net height of the overhead floor and other factors. Through precise calculation, different installation methods are selected under different flooding conditions to reduce failures caused by flooding.

[0081] For the lamp body installed in the beam groove, the lowest point is higher than the wave height mark line, and the probability of being submerged by floods is low. Only the self-test sensor is used to detect the working status of the lamp body, which can effectively reduce costs. For lamp bodies with other installation forms, fault detection is combined with liquid level sensors to achieve automatic management and maintenance of lamps, which greatly reduces the workload of manual inspections and improves management efficiency and accuracy.

[0082] By using a deep learning model to analyze the submerged height data collected by the liquid level sensor, the impact of waves on the lamp body can be identified, thereby improving the comprehensiveness of the detection. The impact of waves on the lamp body includes the situation where the waves partially or completely cover the outer shell of the lamp body for a short period of time. In this case, the lamp works normally, but the silt contamination will cause the light transmittance to decrease and the lighting effect to deteriorate.

[0083] Embodiment 2

[0084] like Figure 6 and Figure 7 As shown, this embodiment conducts a simulation experiment at a scale of 1:200, with still water and no wind, and water is released to simulate waves. From the results, it can be seen that there is a splashing area of ​​about 1 / 4 of the cavity (fluctuation height, the test paper has changed color), and the rest of the height can be kept dry (the test paper has not changed color), which confirms the applicability of the safe height for installing the lamp.

[0085] The above are only embodiments of the present invention. The invention is not limited to the fields involved in this implementation case. The common sense such as the known specific structures and characteristics in the scheme is not described in detail here. The ordinary technicians in the relevant field know all the common technical knowledge in the technical field to which the invention belongs before the application date or the priority date, can obtain all the existing technologies in the field, and have the ability to apply the conventional experimental means before that date. The ordinary technicians in the relevant field can improve and implement this scheme in combination with their own abilities under the enlightenment given by this application. Some typical known structures or known methods should not become obstacles for ordinary technicians in the relevant field to implement this application. It should be pointed out that for those skilled in the art, without departing from the structure of the present invention, several deformations and improvements can be made, which should also be regarded as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the practicality of the patent. The protection scope required by this application shall be based on the content of its claims, and the specific implementation methods and other records in the specification can be used to explain the content of the claims.

Claims

1. Emergency lighting system for flood disasters, characterized in that: It includes a cloud server and several lighting terminals; the lighting terminal includes a lamp body, a self-test sensor, a liquid level sensor and a transmission module; the lamp body is installed in the overhead layer of the periodic flooding area, and the self-test sensor is used to detect the working state of the lamp body; the liquid level sensor is installed in the overhead layer of the periodic flooding area corresponding to the lamp body, and is used to detect the flooding height in the overhead layer; the transmission module is used to obtain the working state data from the self-test sensor, obtain the flooding height data from the liquid level sensor, and upload the working state data and the flooding height data to the cloud server; The cloud server is used to determine whether the status of the lamp body is normal based on the working status data. If not, it is marked as a faulty lamp. It is also used to determine whether there is valid flooding height data. If so, it determines whether the flooding height is greater than a first threshold. If it is greater than the first threshold, it is marked as a faulty lamp.

2. The emergency lighting system for flood disasters according to claim 1, characterized in that: The cloud server includes a data preprocessing module, a status analysis module, and a plan generation module; The data preprocessing module is used to clean and standardize the working status data and flooding height data of each lighting terminal; The status analysis module is used to determine whether the status of the lamp body is normal based on the processed working status data. If the status is abnormal, it is marked as a faulty lamp; The state analysis module is also used to determine whether there is valid flooding height data, and if so, determine whether the flooding height is greater than a first threshold, and if so, mark the lamp as a faulty lamp; The plan generation module is used to generate a maintenance plan based on faulty lamps.

3. The emergency lighting system for flood disasters according to claim 2, characterized in that: The state analysis module is also used to obtain the starting time when the flooding height is greater than the second threshold and the ending time when the flooding height is less than the second threshold when the flooding height is not greater than the first threshold; input the flooding height data from the starting time to the end time into the pre-trained anomaly detection model, and obtain the judgment result of silt blockage from the anomaly detection model. If the result is that the lamp is contaminated with silt, it is marked as a faulty lamp.

4. The emergency lighting system for flood disasters according to claim 3 is characterized in that: The plan generation module pre-stores the installation location information of the lamp body and the impact severity classification of different installation locations. The plan generation module is used to determine the installation location of the faulty lamp, determine the impact severity classification according to the installation location, determine the maintenance priority; and generate a maintenance plan according to the priority.

5. A method for emergency lighting for flood disasters, characterized in that: The steps include: S1. Install the lamp body and liquid level sensor in the overhead layer of the periodic flooding area; S2, detecting the working status of the lamp body through the self-test sensor; S3, detecting the flooding height in the overhead layer by means of a liquid level sensor; the flooding height refers to the distance between the water surface and the top of the overhead layer; S4, uploading the working status data and the flooding height data to the cloud server; S5. The cloud server cleans and standardizes the working status data and flooding height data of each lighting terminal; S6. Determine whether the state of the lamp body is normal according to the processed working state data. If the state is abnormal, mark it as a faulty lamp. S7, determining whether there is valid flooding height data, if so, determining whether the flooding height is greater than a first threshold, if greater than the first threshold, marking the lamp as a faulty lamp; S8. Generate a maintenance plan based on the faulty lamp.

6. The method for emergency lighting for flood disasters according to claim 5, characterized in that: In step S7, if the flooding height is not greater than the first threshold, the starting time when the flooding height is greater than the second threshold and the ending time when the flooding height is less than the second threshold are obtained; the flooding height data from the starting time to the ending time are input into the pre-trained anomaly detection model, and the judgment result of silt blockage is obtained from the anomaly detection model. If the result is that the lamp is contaminated with silt, it is marked as a faulty lamp.

7. The method for emergency lighting for flood disasters according to claim 6, characterized in that: The step S1 specifically includes: S101, query the meteorological conditions in the installation area to obtain wind force and hydrological data, and obtain wave height; S102, determine whether there is an overhead layer with a beam groove in the installation area. If so, determine the installation height of the lamp according to the wave height and the net height of the beam groove in the overhead layer of the installation area. If not, select the highest position that meets the lighting requirements to install the lamp body, record the installation position of the corresponding lamp body, and jump to S107; S103. Connect the waterproof and sealed cables to the lower edge of the floor slab on the top of the overhead layer, connect them to the holes where the lamps need to be installed through the holes through the beams, and seal the holes through the beams; fix the cables connected to the holes in the holes close to the bottom of the slab and center them; S104, by measuring and checking the bottom height of a circle of beams around the hole, select the side with the minimum beam height as the measurement reference value; measure upward from this reference value to reserve the required wave height, and mark the position of this height line; S105, debug the lamp body at the cable interface, and ensure that the lowest point of the lamp body is higher than the wave height mark line when the installation height is met; if the lowest point of the lamp body is not higher than the wave height mark line, record the installation position of the corresponding lamp body, and jump to S107; S106, fix the lamp body and complete the installation; S107, install the liquid level sensor and record the installation position, calculate the distance from the lowest detection height of the liquid level sensor to the lowest point of the lamp body as the first threshold; set the second threshold, and the distance from the height of the second threshold to the lowest point of the lamp body is the wave height.

8. The method for emergency lighting for flood disasters according to claim 7, characterized in that: The formula for selecting the installation height is: Hs=H-ΔH, wherein Hs is the installation height of the lamp, H is the net height of the beam groove, and ΔH is the wave height.

9. Emergency lighting device for flood disasters, characterized in that: Use the system according to any one of claims 1 to 4.

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