Power distribution station intelligent fire extinguishing alarm method, system and terminal based on Internet of Things

Abstract

The invention relates to a power distribution station intelligent fire extinguishing alarm method, system and terminal based on the Internet of Things, and belongs to the technical field of power distribution station fire treatment. The power distribution station intelligent fire extinguishing alarm method comprises the steps that image information in a power distribution station is collected; positioning a fire point in the power distribution station according to the image information, and sending alarm information; obtaining sensitive equipment sensitive to the fire extinguishing agent; obtaining a sensitive distance corresponding to the distance between each sensitive device and the fire point; determining a safety angle corresponding to the sensitive equipment according to the equipment information of the sensitive equipment; according to the sensitive intervals, the safety angles and a defined space avoidance constraint model, whether the spraying angle of the fire extinguishing nozzle needs to be iterated or not is judged; if not, the current spraying angle is determined as the fire extinguishing agent spraying angle; if yes, the spraying angle is iterated according to an iteration rule; and the iterated spraying angle serves as the spraying angle of the fire extinguishing agent. The method has the beneficial effect of reducing potential safety hazards of equipment around a fire point.

Description

Technical Field

[0001] The present application relates to the technical field of fire handling in power distribution stations, and in particular to an intelligent fire extinguishing alarm method, system and terminal for power distribution stations based on the Internet of Things. Background Art

[0002] As a key node in the power system, the distribution station has numerous internal devices and complex structures, including a large number of electrical equipment, lines and various sensitive components. These devices have fire hazards due to overload, short circuit, aging and other reasons during long-term operation. Once a fire occurs, it will not only cause equipment damage and power supply interruption, but may also trigger a chain reaction, leading to a larger range of power outages, which will have a serious impact on social production and life. Therefore, fire protection in distribution stations is extremely important.

[0003] At present, in the fire extinguishing technology of power distribution stations, the fixed spraying method is widely used. This method usually pre-sets the position, spray angle and spray range of the fire extinguishing nozzle. When a fire occurs, the fire extinguishing system is activated according to the established procedure, and the nozzle sprays the fire extinguishing agent in a fixed mode. Common fire extinguishing agents include gas fire extinguishing agents (such as heptafluoropropane, carbon dioxide, etc.) and dry powder fire extinguishing agents. This fixed spraying mode has the advantages of simple structure, low cost, and easy maintenance, and can play a role in fire extinguishing to a certain extent.

[0004] For gas fire extinguishing agents, during the fixed spraying process, although the gas fire extinguishing agent itself has good insulation properties, some of the fire extinguishing agent may remain on the surface of the electrical equipment after the fire is extinguished. Some gas fire extinguishing agents will produce acidic substances after high-temperature decomposition. If these acidic substances adhere to the insulation materials of electrical equipment for a long time, they will gradually corrode the insulation layer, reduce the insulation performance, and increase the risk of equipment failures such as leakage and short circuit.

[0005] For dry powder fire extinguishing agents, a layer of powder coating will be formed on the surface of the equipment after spraying. If these powders are not cleaned up in time, they will absorb dust and moisture during the operation of the equipment, forming a conductive path and destroying the insulation performance of the electrical equipment. In addition, dry powder particles may also enter the gaps and holes of the equipment, affecting the normal heat dissipation and mechanical movement of the equipment, resulting in a decrease in equipment performance. This causes the relay protection device that has not caught fire but has poor moisture resistance to fail due to moisture, causing secondary failures.

[0006] It can be found from the above-mentioned related technologies that the use of a fixed spraying method of fire extinguishing agents may have an impact on the equipment around the fire point, resulting in safety hazards to the surrounding equipment. Summary of the invention

[0007] In order to minimize the impact on surrounding equipment when extinguishing a fire at the fire point and reduce the safety hazards of surrounding equipment, the present application provides an intelligent fire extinguishing alarm method, system and terminal for a distribution station based on the Internet of Things.

[0008] In the first aspect, the present application provides an intelligent fire extinguishing alarm method for a power distribution station based on the Internet of Things, which adopts the following technical solutions: An intelligent fire extinguishing alarm method for a power distribution station based on the Internet of Things, comprising: Collect image information inside the power distribution station; According to the image information, locate the fire point in the power distribution station and send an alarm message; Acquisition of sensitive equipment that is sensitive to fire extinguishing agents; Obtaining the sensitive distance between each of the sensitive devices and the fire point; Determining a security angle corresponding to the sensitive device according to the device information of the sensitive device; According to each of the sensitive intervals, each of the safety angles and the defined space avoidance constraint model, it is determined whether the spray angle of the fire sprinkler needs to be iterated. The space avoidance constraint model is: ,in is the minimum sensitive distance, L is the vertical height from the fire sprinkler to the fire point, is the safety angle corresponding to the i-th sensitive device, if , then it is determined that the spray angle of the fire sprinkler needs to be iterated; If not, the current spray angle is determined to be the fire extinguishing agent spray angle; If so, the spray angle is iterated according to the iteration rule, and the iterated spray angle is used as the spray angle of the fire extinguishing agent.

[0009] By adopting the above technical solution, the fire point in the distribution station can be located by collecting image information in the distribution station, and the specific location of the fire can be found quickly and accurately using image recognition technology. Sending an alarm message immediately after locating the fire point can let relevant personnel know that a fire has occurred in the distribution station at the first time. In addition, by fully considering the differences in the tolerance of different equipment in the distribution station to the fire extinguishing agent, unnecessary damage to sensitive equipment caused by the injection of fire extinguishing agent during the fire extinguishing process is avoided, and the normal operation and service life of the equipment around the fire point are guaranteed, thereby reducing the safety hazards of the equipment around the fire point. According to the sensitive spacing, safety angle and space avoidance constraint model, it is judged whether the injection angle of the fire extinguishing nozzle needs to be iterated, and finally the appropriate injection angle of the fire extinguishing agent is determined. This method can effectively extinguish the fire while protecting sensitive equipment to the greatest extent, achieving a balance between fire extinguishing effect and equipment protection. By iteratively optimizing the injection angle, the fire extinguishing system can better adapt to complex and changeable fire scenes, reduce the failure of fire extinguishing due to unreasonable injection angle, and improve the reliability and stability of the entire fire extinguishing alarm system. With the remote communication function of the Internet of Things, relevant personnel can remotely monitor the fire situation in the power distribution station in real time and control the fire extinguishing system. Even when there is no one on duty, they can respond to fire incidents in a timely manner and take effective fire extinguishing measures.

[0010] Optionally, the step of iterating the injection angle according to the iteration rule includes: According to the set iteration step size and current injection angle, obtain the next iteration angle; Calculate the coverage area of ​​the fire sprinkler after iteration, the coverage area is the spray angle of the fire sprinkler; Obtaining the overlapping area between the coverage area after iteration and each of the sensitive devices; Obtaining a ratio of the total area of ​​the overlapping region to the area of ​​the covered region; Determining whether the ratio is less than a set ratio threshold; If yes, the iteration angle of the current iteration is used as the injection angle after iteration; If not, continue iterating.

[0011] By adopting the above technical solution, by obtaining the iteration angle of each iteration according to the iteration step length, and calculating the coverage area of ​​the fire extinguishing nozzle after each iteration, the spray angle of the nozzle can be continuously adjusted so that the coverage area covers the fire point as accurately as possible. In the fire scene of the distribution station, different fire locations and fire spread conditions require the coverage area of ​​the fire extinguishing nozzle to match them. Iterative adjustment of the spray angle can allow the fire extinguishing agent to act more effectively on the fire point, improve the fire extinguishing efficiency, and quickly control the spread of the fire. Obtain the overlapping area of ​​the coverage area and each sensitive device after each iteration, and calculate the ratio of the overlapping area to the total coverage area. Through continuous iteration, make this ratio as small as possible from the set ratio threshold, thereby reducing the impact of the fire extinguishing agent on sensitive equipment. In the distribution station, there are many devices that are sensitive to fire extinguishing agents, such as high-precision electronic components, special insulating materials, etc. Reducing the overlapping area can prevent the fire extinguishing agent from being directly sprayed onto these sensitive devices, reducing the risk of damage to the equipment due to contact with the fire extinguishing agent. Since the iterative rules can effectively control the impact of fire extinguishing agents on sensitive equipment, the sensitive equipment in the distribution station can maintain a relatively stable operating state during the occurrence and extinguishing of fires. This is of great significance for ensuring the normal power supply of the distribution station, reducing equipment maintenance costs and power outage losses. Even after a fire occurs, the normal operation of the distribution station can be restored more quickly, reducing the impact on social production and life. The entire iterative process is carried out automatically according to the preset rules without manual intervention. In the event of an emergency, this automated iterative adjustment can respond quickly, optimize the injection angle in time, and improve the reaction speed and decision-making efficiency of the fire extinguishing system. Compared with the traditional manual adjustment method, it greatly shortens the decision-making time and increases the possibility of successful fire extinguishing.

[0012] Optionally, the step of obtaining the overlapping area of ​​the coverage area and the sensitive device after iteration includes: determining a sensitivity type of the sensitive device; If the sensitive type is a rectangle, a global coordinate system is constructed, wherein the nozzle outlet of the fire extinguishing nozzle is taken as the origin and the spraying direction is the Y axis; Get the projection radius R of the coverage area and the center point coordinates of the sensitive device , rotation angle and size parameters length w width h; the projection radius ; Combine the size parameter, the projection radius and the center point coordinates to determine whether the coverage area intersects with the sensitive device; if , it is determined that the coverage area intersects with the sensitive device; If yes, based on the center point coordinates and the rotation angle, convert the vertices of the sensitive device into the global coordinate system to obtain corresponding global coordinate points; Get the arcuate area and the triangular area; the arcuate area , the area of ​​the triangle , m is the height of the triangular area, n is the side length of the triangular area, and the triangular area is composed of the global coordinate point in the circle and the center of the circle; The area of ​​the overlapping region is obtained according to the arcuate area and the triangular area. ; If the sensitive type is circular, obtaining the device radius r of the sensitive device; Get the center coordinates of the sensitive device and rotation angle ; According to the center coordinates and the rotation angle, the center distance D is obtained. ; According to the circle center distance, the device radius and the projection radius, determine whether the coverage area intersects with the sensitive device; if , then it is determined to be intersecting; If so, then according to the double circle intersection formula, the overlapping area is obtained ; .

[0013] Optionally, the intelligent fire extinguishing alarm method for a power distribution station further includes: After determining the fire extinguishing agent injection angle, obtaining the burning area of ​​the fire point; According to the combustion area, obtaining the injection duration; Get the ambient humidity; According to the duration of the injection, the ambient humidity and the trained injection amount model, the required injection amount of the fire extinguishing agent is obtained; the injection amount model is , Q is the amount of fire extinguishing agent to be injected, K is the adjustment coefficient, is the combustion area, RH is the ambient humidity, and t is the duration of injection.

[0014] By adopting the above technical solution, after determining the injection angle of the fire extinguishing agent, the burning area of ​​the fire point is obtained, and the injection duration is obtained accordingly, which can make the fire extinguishing process more accurate. The fire extinguishing time required for burning areas of different sizes is different. If the injection time is too short, the fire cannot be effectively extinguished; if the injection time is too long, the fire extinguishing agent will be wasted. The ambient humidity is obtained, and the amount of fire extinguishing agent to be injected is obtained according to the injection duration, ambient humidity and the trained injection amount model, which comprehensively considers various factors affecting the fire extinguishing effect. The ambient humidity will affect the burning speed and the evaporation speed of the fire extinguishing agent. When the humidity is high, the burning may be relatively slow, and the evaporation of the fire extinguishing agent will also be inhibited to a certain extent; when the humidity is low, the burning may be more intense, and the fire extinguishing agent is also more volatile. Taking these factors into consideration through the injection amount model, the required amount of fire extinguishing agent can be calculated more accurately, further optimizing the use of fire extinguishing resources and reducing unnecessary cost expenditures. Determining the injection duration and the amount to be injected according to the burning area can make the fire extinguishing operation better adapt to the actual situation of the fire. For fires with large fires and wide burning areas, increasing the duration of the spray and the amount of spray can ensure that there is enough fire extinguishing agent to cover the entire fire area and effectively suppress the spread of the fire; for fires with smaller fires, reducing the amount and duration of spray can not only avoid damage to equipment caused by excessive fire extinguishing, but also control the fire in time and improve the pertinence and effectiveness of fire extinguishing. By accurately controlling the duration of the spray and the amount of spray, damage to equipment in the distribution station caused by excessive spraying of fire extinguishing agent is avoided. Excessive fire extinguishing agent may have a negative impact on the insulation performance, mechanical properties, etc. of electrical equipment, causing equipment failure or shortening the service life of the equipment. Reasonable spraying amount and duration can effectively extinguish the fire while minimizing damage to equipment, ensuring the normal operation of the distribution station and the safety of equipment.

[0015] Optionally, the steps after obtaining the required injection amount of the fire extinguishing agent include: Obtaining the measured injection amount; Obtaining an error value between the expected injection amount and the actually measured injection amount; The error value is input into the pre-trained opening adjustment model to obtain the required opening of the fire sprinkler; the opening adjustment model is , u is the opening of the fire sprinkler, is the opening adjustment amount, is the current opening, e is the error value; .

[0016] By using the above technical solution, by obtaining the measured injection amount and calculating the error value between it and the amount that should be injected, the system can understand the deviation between the actual injection situation and the expected situation in real time. This real-time feedback mechanism allows the fire extinguishing system to be dynamically adjusted according to the actual situation, rather than relying solely on the initial calculation results. Accurately controlling the opening of the fire extinguishing nozzle to ensure that the fire extinguishing agent is sprayed in the appropriate amount and pressure can reduce the impact and damage to the equipment in the distribution station. In the fire extinguishing system of the distribution station, the reserve amount of fire extinguishing agent is limited. By accurately controlling the injection amount, the best fire extinguishing effect can be achieved under limited resource conditions, and the utilization efficiency of resources can be improved. This is of great significance to ensuring the fire safety of the distribution station, especially in some emergency situations, to ensure that the limited fire extinguishing agent plays the greatest role.

[0017] Optionally, the intelligent fire extinguishing alarm method for a power distribution station further includes: When entering the state of spraying liquid fire extinguishing agent, obtain the ambient temperature; Determine whether the ambient temperature is less than a set first temperature threshold and whether the temperature gradient is less than a set temperature gradient threshold; If yes, enter the inert gas injection state and obtain the injection duration; When the injection duration reaches a set injection duration threshold, obtaining an oxygen concentration; Determining whether the oxygen concentration value is less than a set concentration threshold; If so, enter the maintenance state; Determining whether the ambient temperature is greater than a set second temperature threshold or whether the content of volatile organic compounds is greater than a set content threshold, the second temperature threshold being less than the first temperature threshold; If so, enter the state of spraying liquid fire extinguishing agent.

[0018] By adopting the above technical solution, after entering the state of spraying fire extinguishing agent, the ambient temperature is obtained in real time and judged in combination with the temperature gradient. When the ambient temperature is less than the set first temperature threshold and the temperature gradient is less than the set temperature gradient threshold, it means that the fire has been controlled to a certain extent, and the inert gas spraying state is entered at this time. Inert gas can reduce the oxygen concentration in the combustion area and further inhibit the combustion reaction. When used in conjunction with the fire extinguishing agent, it can extinguish the fire more efficiently and avoid the problem of incomplete fire extinguishing or re-ignition that may occur when relying solely on the fire extinguishing agent. By continuously monitoring indicators such as oxygen concentration, ambient temperature, and volatile organic compound content, the fire extinguishing state is dynamically switched according to different situations. For example, when the oxygen concentration value is less than the set oxygen concentration threshold, the maintenance state is entered to ensure that the fire scene is in a stable suppression state; and when the ambient temperature is greater than the set second temperature threshold or the content of volatile organic compounds is greater than the set content threshold, the fire extinguishing agent spraying state is entered again to respond to possible fire re-ignition or new combustion in a timely manner to ensure the effectiveness and continuity of the fire extinguishing process. Whether to spray inert gas and when to spray fire extinguishing agent again is determined according to the actual fire situation and environmental parameters, avoiding excessive use of fire extinguishing agent and inert gas. The storage and use of fire extinguishing agent and inert gas have certain costs. Accurate state switching can minimize the waste of resources and reduce the fire fighting cost of the distribution station while ensuring the fire extinguishing effect. Fire extinguishing agent may cause certain corrosion and damage to electrical equipment in the distribution station. After the fire is under control, timely switching to the inert gas spraying state and reducing the use of fire extinguishing agent can reduce the risk of such damage and protect the normal operation and service life of the equipment in the distribution station.

[0019] Optionally, the intelligent fire extinguishing alarm method for a power distribution station further includes: Determine the pH value and conductivity of the extinguishing agent for different types of extinguishing agents stored; Obtaining device pH value requirements and device conductivity requirements corresponding to all the sensitive devices; Determine the type of fire extinguishing agent required for the sensitive device according to the pH value requirement of the device, the conductivity requirement of the device, the pH value of the fire extinguishing agent, and the conductivity of the fire extinguishing agent; The fire extinguishing agent type that satisfies all of the sensitive equipment is determined as the fire extinguishing agent type to be sprayed.

[0020] By adopting the above technical solution, by comparing the pH value requirements of sensitive equipment with the pH value of the fire extinguishing agent, the types of fire extinguishing agents with compatible chemical properties can be screened out. Excessively high conductivity of the fire extinguishing agent may cause short circuit or leakage risks in electrical equipment. By matching the conductivity requirements of the equipment, the system can give priority to insulating fire extinguishing agents (such as gas fire extinguishing agents) to ensure that the fire extinguishing process does not affect the normal operation of the equipment. In traditional fire extinguishing methods, the selection of fire extinguishing agents often only considers the fire extinguishing efficiency, while ignoring the long-term impact on sensitive equipment. This method achieves the dual goals of "fire extinguishing" and "equipment protection" through dynamic matching of dual parameters (pH value and conductivity), thereby reducing the risk of secondary disasters.

[0021] In the second aspect, the present application provides an intelligent fire extinguishing alarm system for a power distribution station based on the Internet of Things, which adopts the following technical solutions: An intelligent fire extinguishing alarm system for a power distribution station based on the Internet of Things, comprising: An image acquisition module, used to collect image information in the power distribution station; An alarm processing module, used to locate the fire point in the power distribution station according to the image information and send an alarm message; A sensitive equipment acquisition module, used to acquire sensitive equipment that is sensitive to fire extinguishing agents; An information processing module, used for obtaining the sensitive distance between each of the sensitive devices and the fire point; and determining the safety angle corresponding to the sensitive device according to the device information of the sensitive device; A judgment module is used to judge whether the spray angle of the fire sprinkler needs to be iterated according to each of the sensitive intervals, each of the safety angles and the defined spatial avoidance constraint model, wherein the spatial avoidance constraint model is is the minimum sensitive distance, L is the vertical height from the fire sprinkler to the fire point, is the safety angle corresponding to the i-th sensitive device, if , then it is determined that the spray angle of the fire sprinkler needs to be iterated; The injection angle adjustment module is used to determine that the current injection angle is the injection angle of the fire extinguishing agent when the judgment module judges to be no, and to iterate the injection angle according to the iteration rule when the judgment module judges to be yes, and use the iterated injection angle as the injection angle of the fire extinguishing agent.

[0022] In a third aspect, the present application provides a terminal, which adopts the following technical solution: A terminal, comprising: A memory storing an intelligent fire extinguishing alarm program for a power distribution station based on the Internet of Things; The processor is used to execute the program stored in the memory to implement the steps of the above-mentioned distribution station intelligent fire extinguishing alarm method based on the Internet of Things.

[0023] In summary, the present application has at least the following beneficial effects: By collecting image information in the distribution station to locate the fire point in the distribution station, the image recognition technology can be used to quickly and accurately find the specific location of the fire. Sending an alarm message immediately after locating the fire point can let relevant personnel know that a fire has occurred in the distribution station at the first time. In addition, by fully considering the differences in the tolerance of different equipment in the distribution station to the fire extinguishing agent, unnecessary damage to sensitive equipment caused by the injection of fire extinguishing agent during the fire extinguishing process is avoided, and the normal operation and service life of the equipment around the fire point are guaranteed, thereby reducing the safety hazards of the equipment around the fire point. According to the sensitive spacing, safety angle and space avoidance constraint model, it is judged whether the injection angle of the fire extinguishing nozzle needs to be iterated, and finally the appropriate injection angle of the fire extinguishing agent is determined. This method can effectively extinguish the fire while protecting sensitive equipment to the greatest extent, achieving a balance between fire extinguishing effect and equipment protection. By iteratively optimizing the injection angle, the fire extinguishing system can better adapt to complex and changeable fire scenes, reduce the failure of fire extinguishing caused by unreasonable injection angles, and improve the reliability and stability of the entire fire extinguishing alarm system. With the help of the remote communication function of the Internet of Things, relevant personnel can remotely monitor the fire situation of the distribution station in real time and control the fire extinguishing system. Even when there is no one on duty, it can respond to fire incidents in a timely manner and take effective fire-fighting measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 This is a first flow chart of an implementation method of Example 1 of the present application; Figure 2 is a second flow chart of an implementation method of Example 1 of the present application; Figure 3 is a first flow chart of another implementation method of the method embodiment of the present application; Figure 4 This is a state switching diagram of another implementation method of the present application method embodiment; Figure 5 It is a structural block diagram of an embodiment of the system of the present application. DETAILED DESCRIPTION

[0025] To make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the following will be combined with the appended drawings of the embodiments of the present invention. Figure 1 -Attached Figure 5 , the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The first embodiment of the present application discloses an intelligent fire extinguishing alarm method for a power distribution station based on the Internet of Things. Figure 1 As an implementation of the intelligent fire extinguishing alarm method for a power distribution station, the intelligent fire extinguishing alarm method for a power distribution station may include S110-S180: S110, collecting image information in the power distribution station; S120, locating the fire point in the power distribution station according to the image information, and sending an alarm message; S130, obtain sensitive equipment that is sensitive to fire extinguishing agents; S140, obtaining the sensitive distance between each sensitive device and the fire point; S150, determining a security angle corresponding to the sensitive device according to the device information of the sensitive device; S160, judging whether the spray angle of the fire sprinkler needs to be iterated according to each sensitive interval, each safety angle and the defined space avoidance constraint model; S170, if not, determining that the current injection angle is the fire extinguishing agent injection angle; S180: If yes, iterate the spray angle according to the iteration rule, and determine the spray angle after the iteration as the spray angle of the fire extinguishing agent.

[0027] Specifically, image information in the distribution station is collected by an image acquisition device, such as a camera, arranged in the distribution station, and then the fire point in the distribution station is identified by an image recognition algorithm. The image recognition algorithm is a conventional algorithm and will not be described in detail. After the fire point is determined, an alarm message is sent to the background or monitoring terminal, and the alarm message includes the location of the fire point, the fire situation of the fire point, etc.

[0028] The judgment method for sensitive equipment can be: The moisture sensitivity, temperature sensitivity, and insulation sensitivity of each device are obtained, and then a comprehensive sensitivity score value of each device is obtained according to the moisture sensitivity, temperature sensitivity, and insulation sensitivity.

[0029] Among them, humidity sensitivity is the measured humidity tolerance coefficient of the equipment, The maximum humidity threshold allowed by the device.

[0030] Temperature sensitivity is the critical failure temperature of the equipment material, is the measured temperature of the equipment surface, The threshold for permissible temperature rise is inversely proportional to the heat dissipation capacity of the device; For heat flow, is the material thickness and k is the thermal conductivity.

[0031] Insulation sensitivity , is the degradation monitoring time window, is the current insulation resistance value, is the initial insulation resistance value of the equipment.

[0032] Comprehensive sensitivity score It is the weight coefficient of the corresponding parameter, which is adjusted dynamically according to the device type.

[0033] When determining sensitive equipment, you can initially screen out devices; and then calculate the comprehensive sensitivity scores for these devices, so as to further screen out the devices with comprehensive sensitivity scores greater than the score threshold and determine them as sensitive devices.

[0034] Based on the known position of each device, the distance between adjacent devices can be determined, and then based on the location of the fire point, the sensitive distance between the sensitive device and the fire point can be determined.

[0035] Sensitive information includes , are acquired in advance and stored in the corresponding device. ; is the insulation degradation coefficient; It is the safety protection radius; It is the jet avoidance angle or safety angle; It is the maximum fire extinguishing dosage, calculated according to the equipment volume V.

[0036] The spatial avoidance constraint model is: is the minimum sensitive distance, L is the vertical height from the fire sprinkler to the fire point, is the safety angle corresponding to the i-th sensitive device, when When the spray angle of the fire sprinkler needs to be iterated; Reference Figure 2 The steps of iterating the injection angle according to the iteration rule include S210-S270: S210, obtaining the next iteration angle according to the iteration step size and the current injection angle; S220, calculating the coverage area of ​​the fire sprinkler after iteration; S230, obtaining the overlapping area between the coverage area and each sensitive device after iteration; S240, obtaining a ratio of a total overlapping area to a covered area; S250, determining whether the ratio is less than a set ratio threshold; S260, if yes, taking the iteration angle of the current iteration as the injection angle after iteration; S270, if not, return to S210.

[0037] Specifically, the iteration step may be 5°, that is, the next iteration angle is the previous iteration angle + 5°.

[0038] Coverage area ,in It is the spray angle of the fire sprinkler.

[0039] The steps of obtaining the area of ​​the iterative coverage area and the area of ​​the overlapping area of ​​the sensitive device include: First determine the sensitive type of the sensitive device. If the sensitive type is rectangular, you need to build a global coordinate system with the nozzle outlet of the fire sprinkler as the origin and the spray direction as the Y axis. Then get the projection radius R of the coverage area. ; Secondly, according to the local coordinate system, obtain the center point coordinates of the sensitive device and rotation angle ; Then obtain the size parameters of the sensitive device, which include length w and width h. , then it is determined that the fire extinguishing coverage area intersects with the sensitive equipment, otherwise, it is determined that they do not intersect.

[0040] If they intersect, the vertices (4) of the sensitive device need to be converted into the global coordinate system to obtain the corresponding global coordinate points.

[0041] Coordinate transformation formula:

[0042] Then get the arc area and the triangular area, the arc area , the area of ​​the triangle , m is the height of the triangular area, n is the side length of the triangular area; the triangular area is composed of the vertices and center of the rectangle inside the circle. Overlap area .

[0043] If the sensitive type is circular, obtain the device radius r of the sensitive device, and then obtain the center coordinates of the sensitive device based on the local coordinate system and rotation angle Then, according to the coordinates of the circle center and the rotation angle, the center distance D is obtained. .like , then it is determined that the fire extinguishing coverage area intersects with the sensitive equipment. Then, according to the double circle intersection formula, the overlapping area is obtained The formula for the intersection of two circles is: .

[0044] After obtaining the overlapping area corresponding to each intersecting sensitive device, sum them up to get the total overlapping area, and then obtain the ratio of the total overlapping area to the coverage area. If the ratio is less than the ratio threshold, the current iteration angle is used as the injection angle. If the ratio is not less than the ratio threshold, the iteration continues.

[0045] Reference Figure 3 As another implementation of the intelligent fire extinguishing alarm method for a power distribution station, the intelligent fire extinguishing alarm method for a power distribution station may further include S310-S370: S310, after determining the fire extinguishing agent injection angle, obtaining the burning area of ​​the fire point; S320, obtaining the injection duration according to the combustion area; S330, obtaining environmental humidity; S340, obtaining the required injection amount of the fire extinguishing agent according to the injection duration, the ambient humidity, and the trained injection amount model; S350, obtaining the measured injection amount; S360, obtaining an error value between the expected injection amount and the actually measured injection amount; S370, input the error value into a pre-trained opening adjustment model to obtain the required opening of the fire sprinkler.

[0046] Specifically, after collecting the image of the fire point, the flame outline can be identified according to the image segmentation algorithm, and the actual area can be converted using the pixel ratio. For example, the distance between the camera and the ground is pre-calibrated, and the pixel area is mapped to the actual burning area in combination with the lens distortion correction parameter. Of course, in other implementations, other methods can also be used.

[0047] Spray duration , is the combustion area. The injection quantity model is , Q is the amount of extinguishing agent to be injected, K is the adjustment coefficient, RH is the ambient humidity, and t is the duration of injection.

[0048] The opening adjustment model is , u is the opening of the fire sprinkler, is the opening adjustment amount, is the current opening, e is the error value; ; The error value is a vector, A negative value indicates a lower opening. A positive value indicates an increase in the opening; the supply opening refers to the opening of the valve involved in supplying fire extinguishing agent to the fire sprinkler.

[0049] It should be noted that before spraying the fire extinguishing agent, the type of fire extinguishing agent needs to be determined. The determination step can be to first determine the fire extinguishing agent pH value and fire extinguishing agent conductivity of the stored different types of fire extinguishing agents; then obtain the device pH value requirements and device conductivity requirements corresponding to all sensitive devices; and determine the corresponding required corresponding fire extinguishing agent type according to the device pH value requirements, device conductivity requirements, fire extinguishing agent pH value and fire extinguishing agent conductivity; and then determine the fire extinguishing agent type that meets all sensitive devices as the fire extinguishing agent type to be sprayed.

[0050] For example, the fire extinguishing agent types corresponding to B-sensitive equipment are E and F, and the fire extinguishing agent type corresponding to C-sensitive equipment is F. Since the fire extinguishing agent F meets the requirements of B-sensitive equipment and C-sensitive equipment, the fire extinguishing agent F is determined as the fire extinguishing agent to be sprayed.

[0051] Reference Figure 4 The intelligent fire extinguishing alarm method for a power distribution station may further include the following steps: Define the state set S = {S1 (liquid extinguishing agent), S2 (inert gas), S3 (maintenance)}; transfer conditions: Initial injection S1, then obtain the ambient temperature, and determine whether the ambient temperature is less than the set first temperature threshold and whether the temperature gradient is less than the set temperature gradient threshold. If so, enter S2, inject inert gas, and the injection time reaches the set injection time threshold. Then obtain the oxygen concentration, and determine whether the oxygen concentration value is less than the set concentration threshold. If so, enter S3, and determine whether the ambient temperature is greater than the set second temperature threshold or whether the content of volatile organic compounds is greater than the set content threshold. If so, enter S1; the second temperature threshold is less than the first temperature threshold.

[0052] Based on the above method embodiment, the second embodiment of the present application discloses an intelligent fire extinguishing alarm system for a power distribution station based on the Internet of Things. Figure 5 As an implementation of the intelligent fire extinguishing alarm system for a power distribution station, the intelligent fire extinguishing alarm system for a power distribution station may include: An image acquisition module, used to collect image information in the power distribution station; An alarm processing module is used to locate the fire point in the power distribution station based on the image information and send an alarm message; A sensitive equipment acquisition module, used to acquire sensitive equipment that is sensitive to fire extinguishing agents; An information processing module is used to obtain the sensitive distance between each sensitive device and the fire point; and determine the safety angle corresponding to the sensitive device according to the device information of the sensitive device; The judgment module is used to judge whether the spray angle of the fire sprinkler needs to be iterated according to each sensitive interval, each safety angle and the defined spatial avoidance constraint model. The spatial avoidance constraint model is ,in is the minimum sensitive distance, L is the vertical height from the fire sprinkler to the fire point, is the safety angle corresponding to the i-th sensitive device, when When the spray angle of the fire sprinkler needs to be iterated; The injection angle adjustment module is used to determine that the current injection angle is the injection angle of the fire extinguishing agent when the judgment module judges to be no, and to iterate the injection angle according to the iteration rule when the judgment module judges to be yes, and use the iterated injection angle as the injection angle of the fire extinguishing agent.

[0053] The modules of the intelligent fire extinguishing alarm system of the distribution station correspond one to one with the intelligent fire extinguishing alarm method of the distribution station, and no further details will be given here.

[0054] The third embodiment of the present application provides a terminal. As an implementation of the terminal, the terminal may include: a memory and a processor; wherein: The memory is used to store the intelligent fire extinguishing alarm program of the power distribution station based on the Internet of Things; The processor is used to execute the program stored in the memory to implement the steps of the above-mentioned distribution station intelligent fire extinguishing alarm method based on the Internet of Things.

[0055] The memory may be connected to the processor via a communication bus, and the communication bus may be an address bus, a data bus, a control bus, etc.

[0056] In addition, the memory may include a random access memory (RAM) and may also include a non-volatile memory (NVM), such as at least one disk storage.

[0057] And the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0058] The above are all preferred embodiments of the present application, and are not intended to limit the protection scope of the present application in sequence. Any feature disclosed in this specification (including the abstract and drawings), unless otherwise stated, can be replaced by other equivalent or alternative features with similar purposes. That is, unless otherwise stated, each feature is only an example of a series of equivalent or similar features.

Claims

1. An intelligent fire extinguishing alarm method for a distribution station based on the Internet of Things, characterized in that: include: Collect image information inside the power distribution station; According to the image information, locate the fire point in the power distribution station and send an alarm message; Acquisition of sensitive equipment that is sensitive to fire extinguishing agents; Obtaining the sensitive distance between each of the sensitive devices and the fire point; Determining a security angle corresponding to the sensitive device according to the device information of the sensitive device; According to each of the sensitive intervals, each of the safety angles and the defined space avoidance constraint model, it is determined whether the spray angle of the fire sprinkler needs to be iterated. The space avoidance constraint model is: ,in is the minimum sensitive distance, L is the vertical height from the fire sprinkler to the fire point, is the safety angle corresponding to the i-th sensitive device, if , then it is determined that the spray angle of the fire sprinkler needs to be iterated; If not, the current spray angle is determined to be the fire extinguishing agent spray angle; If so, the spray angle is iterated according to the iteration rule, and the iterated spray angle is used as the spray angle of the fire extinguishing agent.

2. According to the method of claim 1, the method is characterized in that: The step of iterating the injection angle according to the iteration rule comprises: According to the set iteration step size and current injection angle, obtain the next iteration angle; Calculate the coverage area of ​​the fire sprinkler after iteration, the coverage area ,in is the spray angle of the fire sprinkler; Obtaining the overlapping area between the coverage area after iteration and each of the sensitive devices; Obtaining a ratio of the total area of ​​the overlapping region to the area of ​​the covered region; Determining whether the ratio is less than a set ratio threshold; If yes, the iteration angle of the current iteration is used as the injection angle after iteration; If not, continue iterating.

3. According to the method of intelligent fire extinguishing alarm for power distribution station based on Internet of Things in claim 2, it is characterized in that: The steps of obtaining the overlapping area of ​​the coverage area and the sensitive device after iteration include: determining a sensitivity type of the sensitive device; If the sensitive type is a rectangle, a global coordinate system is constructed, wherein the nozzle outlet of the fire extinguishing nozzle is taken as the origin and the spraying direction is the Y axis; Get the projection radius R of the coverage area and the center point coordinates of the sensitive device , rotation angle and size parameters length w width h; the projection radius ; Combine the size parameter, the projection radius and the center point coordinates to determine whether the coverage area intersects with the sensitive device; if , it is determined that the coverage area intersects with the sensitive device; If yes, based on the center point coordinates and the rotation angle, the vertices of the sensitive device are converted into the global coordinate system to obtain corresponding global coordinate points; Get the arcuate area and the triangular area; the arcuate area , the area of ​​the triangle , m is the height of the triangular area, n is the side length of the triangular area, and the triangular area is composed of the global coordinate point in the circle and the center of the circle; The area of ​​the overlapping region is obtained according to the arcuate area and the triangular area. ; If the sensitive type is circular, obtaining the device radius r of the sensitive device; Get the center coordinates of the sensitive device and rotation angle ; According to the center coordinates and the rotation angle, the center distance D is obtained. ; According to the circle center distance, the device radius and the projection radius, determine whether the coverage area intersects with the sensitive device; if , then it is determined to be intersecting; If so, then according to the double circle intersection formula, the overlapping area is obtained ; .

4. The method for intelligent fire extinguishing alarm in a power distribution station based on the Internet of Things according to claim 1 is characterized in that: The intelligent fire extinguishing alarm method for a power distribution station also includes: After determining the fire extinguishing agent injection angle, obtaining the burning area of ​​the fire point; According to the combustion area, obtaining the injection duration; Get the ambient humidity; The required injection amount of the fire extinguishing agent is obtained according to the injection duration, the ambient humidity and the trained injection amount model; the injection amount model is , Q is the amount of fire extinguishing agent to be injected, K is the adjustment coefficient, is the burning area, is the ambient humidity, and t is the duration of the spraying.

5. The method for intelligent fire extinguishing alarm in a power distribution station based on the Internet of Things according to claim 4 is characterized in that: The steps after obtaining the required injection amount of the fire extinguishing agent include: Obtaining the measured injection amount; Obtaining an error value between the expected injection amount and the actually measured injection amount; The error value is input into the pre-trained opening adjustment model to obtain the required opening of the fire sprinkler; the opening adjustment model is , u is the opening of the fire sprinkler, is the opening adjustment amount, is the current opening, e is the error value; .

6. The method for intelligent fire extinguishing alarm in a power distribution station based on the Internet of Things according to claim 1 is characterized in that: The intelligent fire extinguishing alarm method for a power distribution station also includes: When entering the state of spraying liquid fire extinguishing agent, obtain the ambient temperature; Determine whether the ambient temperature is less than a set first temperature threshold and whether the temperature gradient is less than a set temperature gradient threshold; If yes, enter the inert gas injection state and obtain the injection duration; When the injection duration reaches a set injection duration threshold, obtaining an oxygen concentration; Determining whether the oxygen concentration value is less than a set concentration threshold; If so, enter the maintenance state; Determining whether the ambient temperature is greater than a set second temperature threshold or whether the content of volatile organic compounds is greater than a set content threshold, the second temperature threshold being less than the first temperature threshold; If so, enter the state of spraying liquid fire extinguishing agent.

7. The method for intelligent fire extinguishing alarm in a power distribution station based on the Internet of Things according to claim 1 is characterized in that: The intelligent fire extinguishing alarm method for a power distribution station also includes: Determine the pH value and conductivity of the extinguishing agent for different types of extinguishing agents stored; Obtaining device pH value requirements and device conductivity requirements corresponding to all the sensitive devices; Determine the type of fire extinguishing agent required for the sensitive device according to the pH value requirement of the device, the conductivity requirement of the device, the pH value of the fire extinguishing agent, and the conductivity of the fire extinguishing agent; The fire extinguishing agent type that satisfies all of the sensitive equipment is determined as the fire extinguishing agent type to be sprayed.

8. An intelligent fire extinguishing alarm system for distribution stations based on the Internet of Things, characterized in that: The intelligent fire extinguishing alarm method for a power distribution station based on the Internet of Things is implemented as claimed in any one of claims 1 to 7, wherein the intelligent fire extinguishing alarm system comprises: An image acquisition module, used to collect image information in the power distribution station; An alarm processing module, used to locate the fire point in the power distribution station according to the image information and send an alarm message; A sensitive equipment acquisition module, used to acquire sensitive equipment that is sensitive to fire extinguishing agents; An information processing module, used for obtaining the sensitive distance between each of the sensitive devices and the fire point; and determining the safety angle corresponding to the sensitive device according to the device information of the sensitive device; A judgment module is used to judge whether the spray angle of the fire sprinkler needs to be iterated according to each of the sensitive intervals, each of the safety angles and the defined spatial avoidance constraint model, wherein the spatial avoidance constraint model is ,in is the minimum sensitive distance, L is the vertical height from the fire sprinkler to the fire point, is the safety angle corresponding to the i-th sensitive device, if , then it is determined that the spray angle of the fire sprinkler needs to be iterated; The injection angle adjustment module is used to determine that the current injection angle is the injection angle of the fire extinguishing agent when the judgment module judges to be no, and to iterate the injection angle according to the iteration rule when the judgment module judges to be yes, and use the iterated injection angle as the injection angle of the fire extinguishing agent.

9. A terminal, characterized in that: include: A memory storing an intelligent fire extinguishing alarm program for a power distribution station based on the Internet of Things; A processor is used to execute the program stored in the memory to implement the steps of the intelligent fire extinguishing alarm method for distribution station based on the Internet of Things as described in any one of claims 1-7.

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