Fire early warning method, system and equipment for offshore booster station and storage medium

Abstract

The invention relates to the field of offshore platform fire protection, in particular to an offshore booster station fire early warning method, system and device and a storage medium. Comprising the following steps: acquiring fire factors of each electrical device in the offshore booster station; s2, judging the fire factor, if the fire factor is abnormal, calculating a fire risk index according to the fire factor, and if the fire factor is not abnormal, returning to the step S1; the fire risk index is judged, when the fire risk index is larger than a set threshold value, early warning information is sent, a monitoring picture corresponding to the offshore booster station electrical equipment is obtained according to the early warning information, and whether a fire occurs or not is determined; and when the fire risk index is smaller than the set threshold value, returning to the step S1. According to the invention, the fire probability of the electrical equipment can be effectively reduced, and the fire prediction accuracy of the electrical equipment can be improved.

Description

Technical Field

[0001] The present invention relates to the field of offshore platform fire protection, and in particular to an offshore booster station fire early warning method, system, equipment and storage medium. Background Art

[0002] The offshore booster station is an important component of the offshore wind farm. Its functions, structures and equipment are designed to ensure the safe and efficient transmission of electricity in the offshore wind farm. As the most critical infrastructure in the offshore wind farm, its main function is to boost the electricity of the offshore wind turbines and then transmit it to the land power grid through submarine cables.

[0003] An offshore substation usually consists of a foundation, a conductor frame and a superstructure, in which the superstructure concentrates the main equipment and facilities of the substation, including an electrical equipment cabin, a control room, a living building and a helicopter pad. The electrical equipment part includes a cable terminal station, a transformer, and control and protection devices. The cable terminal station collects the low-voltage AC cables generated by all offshore wind turbines. The transformer boosts the collected low-voltage electric energy to a high-voltage level suitable for long-distance transmission, usually 220kV or higher. The control and protection device monitors the operating status of the wind farm in real time, performs necessary control operations, and is equipped with protection equipment to prevent overload, short circuit and other situations from damaging the system. Through coordination at the centralized control center, power exchange and dispatch between the wind farm and the land power grid are realized to respond to and handle various problems in a timely manner.

[0004] Due to its unique marine environment, offshore substations face significant fire risks, and the main risk comes from the fire risk caused by electrical equipment failure. Because electrical equipment is highly concentrated and the electrical load is heavy, once a failure occurs, it is very easy to trigger a fire. Therefore, how to provide fire risk warnings for electrical equipment in different areas at the same time is a problem that people in this field currently need. Summary of the invention

[0005] In response to the problems mentioned in the prior art, the present invention proposes a fire warning method, system, device and storage medium for an offshore substation, which can improve the timeliness of fire warning by monitoring different electrical equipment in the offshore substation, thereby reducing the harm caused by fire.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: The present invention provides an offshore booster station fire early warning method, comprising the following steps: S1. Obtain the fire factors of each electrical equipment in the offshore booster station; S2. Determine the fire factor. If the fire factor is abnormal, calculate the fire risk index based on the fire factor. If the fire factor is not abnormal, return to step S1. S3. Determine the fire risk index. When the fire risk index is greater than the set threshold, send an early warning message, obtain the monitoring screen of the corresponding offshore substation electrical equipment according to the early warning message, and confirm whether a fire has occurred; when the fire risk index is less than the set threshold, return to step S1.

[0007] As a further improvement of the present invention, the specific process of step S1 is: real-time detection of various electrical equipment in the offshore booster station, wherein the fire factors include smoke concentration, temperature and load current.

[0008] As a further improvement of the present invention, the specific process of step S2 is: comparing the data value of each fire factor in different electrical equipment with a preset threshold value, determining whether the data value of each fire factor exceeds the preset threshold value, if so, the fire factor is abnormal, if not, the fire factor is normal; when the fire factor is abnormal, the data value of the fire factor is input into a pre-trained prediction model, and the fire risk index is obtained according to the output of the prediction model.

[0009] As a further improvement of the present invention, the training process of the prediction model includes: Establish an offshore booster station model, collect fire factors of several electrical equipment in the offshore booster station, and couple the fire factors to the model calculation; Set up a variety of fire conditions according to different electrical equipment, simulate the fire temperature, smoke density, load current, fire spread and fire development under different conditions, and obtain the fire data set; The fire data set is trained to obtain a trained prediction model.

[0010] As a further improvement of the present invention, the step S3 sending the warning information includes a voice reminder or a text reminder.

[0011] As a further improvement of the present invention, when it is confirmed that a fire has occurred after step S3, the fire extinguishing device can be controlled to extinguish the fire; if no fire has occurred, the electrical equipment is repaired.

[0012] An offshore booster station fire warning system, comprising: Monitoring unit, used to obtain the fire factors of each electrical equipment in the offshore booster station; The first judgment unit is used to judge the fire factor. If the fire factor is abnormal, the fire risk index is calculated according to the fire factor. If the fire factor is not abnormal, the process returns to step S1. The second judgment unit judges the fire risk index. When the fire risk index is greater than the set threshold, an early warning message is sent, and the monitoring screen of the corresponding offshore substation electrical equipment is obtained according to the early warning message to confirm whether a fire has occurred; when the fire risk index is less than the set threshold, it returns to step S1.

[0013] As a further improvement of the present invention, the host is connected to the monitoring unit, the first judgment unit and the second judgment unit respectively.

[0014] An offshore booster station fire warning device comprises a processor and a memory, wherein the processor implements the above-mentioned offshore booster station fire warning method when executing a computer program stored in the memory.

[0015] A computer-readable storage medium is used to store a computer program, wherein the computer program, when executed by a processor, implements the above-mentioned offshore booster station fire warning method.

[0016] Compared with the prior art, the present invention has achieved the following technical effects: The present invention can calculate the fire risk index according to the value of the fire factor when an abnormality is found in the fire factor of the electrical equipment of the offshore booster station, input the fire risk index into the trained prediction model, judge the risk of fire through the prediction model, and provide the location of the electrical equipment at the same time, so that the staff can quickly locate it, and determine whether a fire has occurred by combining the use of monitoring images to ensure the timeliness and accuracy of the response. Once the fire is confirmed, the staff will implement fire extinguishing and evacuation measures to effectively control the spread of the disaster. If the monitoring results show that no fire has occurred, but the fire risk index of the electrical equipment is high, the staff will conduct comprehensive inspection and maintenance of the electrical equipment, which can fundamentally reduce the probability of fire and achieve fire early warning. The present invention can not only effectively reduce the probability of fire in electrical equipment, but also improve the accuracy of fire prediction for electrical equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a schematic flow chart of a fire early warning method for an offshore booster station according to the present invention; Figure 2 The present invention is a connection diagram of an offshore booster station fire warning system.

[0018] Figure numerals: 1. host; 2. monitoring unit; 3. first judgment unit; 4. second judgment unit. DETAILED DESCRIPTION

[0019] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the present invention, rather than to limit the present invention. It should also be noted that, for ease of description, only parts related to the present invention, rather than all structures, are shown in the accompanying drawings.

[0020] The present invention provides an offshore booster station fire early warning method, comprising the following steps: S1. Obtain the fire factors of each electrical equipment in the offshore booster station; S2. Determine the fire factor. If the fire factor is abnormal, calculate the fire risk index based on the fire factor. If the fire factor is not abnormal, return to step S1. S3. Determine the fire risk index. When the fire risk index is greater than the set threshold, send an early warning message, obtain the monitoring screen of the corresponding offshore substation electrical equipment according to the early warning message, and confirm whether a fire has occurred; when the fire risk index is less than the set threshold, return to step S1.

[0021] The present invention will be further explained below with reference to the accompanying drawings and specific embodiments: The present invention is aimed at the situation that electrical equipment on offshore booster stations is prone to fire. Existing electrical equipment on offshore booster stations mainly includes transformers, high-voltage power distribution devices, low-voltage power distribution devices, compensation equipment, AC and DC system equipment, etc. Specific components include low-voltage distribution cabinets, switches, fuses, body-insulated combined electrical appliances (GIS), circuit breakers, disconnectors, voltage transformers, lightning arresters, inverters and other components. Since electrical components are highly concentrated, electrical equipment is very prone to fire.

[0022] First, various electrical equipment in the offshore booster station is detected in real time, where fire factors include smoke density, temperature and load current. In the embodiment, multiple sensors are mainly used to monitor the data value of the fire factor, and each sensor monitors different fire factors. The fire factors include smoke density, temperature and load current. The smoke density is used to monitor whether the electrical equipment is on fire and smoking, the temperature is used to monitor the temperature of the electrical equipment on fire, and the load current is used to monitor the line current of the electrical equipment.

[0023] In the embodiment, the temperature sensor and the smoke sensor are used to detect the temperature of the components in the electrical equipment and the smoke concentration generated, respectively. When the temperature or the smoke concentration is high, it indicates that there may be a high fire risk.

[0024] In an embodiment, a current transformer is installed on the power input line of each circuit of the electrical equipment to monitor the current in the circuit. When the current value exceeds a preset threshold, it is determined that there may be leakage in the circuit. Leakage may cause current imbalance in the circuit, thereby causing overload, short circuit, and even fire and other dangers.

[0025] In the embodiment, when any one or more fire risk factors are abnormal, it indicates that there may be a fire hazard. By calculating the fire risk index, the fire risk can be further judged more accurately and comprehensively, which not only reduces the occurrence of misjudgment of fire risk, but also identifies potential fire risks.

[0026] Secondly, the data value of each fire factor in different electrical equipment is compared with the preset threshold to determine whether the data value of each fire factor exceeds the preset threshold. If so, the fire factor is abnormal, otherwise, the fire factor is normal. When the fire factor is abnormal, the data value of the fire factor is input into the pre-trained prediction model, and the fire risk index is obtained according to the output of the prediction model.

[0027] In the embodiment, the fire risk index can be used to quantify the degree of fire risk. By calculating the fire risk index, the data values ​​of different fire risk factors can be converted into a unified indicator, which is convenient for operators to understand and judge. The fire risk index obtained by the model is judged. When the fire risk index is greater than the set threshold, if so, it is determined that the fire risk index is abnormal; if not, it is determined that the fire risk index is not abnormal.

[0028] The training process of the prediction model in the embodiment includes: Establish an offshore booster station model, collect fire factors of several electrical equipment in the offshore booster station, and couple the fire factors to the model calculation; specifically, build a full-scale prediction model in the numerical simulation software based on the offshore booster station. The simulation model can be established by FDS and PyroSim; collect data, collect data values ​​of the fire factors of each electrical equipment in the offshore booster station, and determine the preset threshold according to the electrical equipment specifications.

[0029] A variety of fire conditions are set according to different electrical equipment, and the fire temperature, smoke concentration, load current, fire spread and fire development under different conditions are simulated to obtain a fire data set; specifically, a variety of different fire conditions are set in advance, and each fire condition is caused by one or more fire factors in different electrical equipment, thereby simulating the fire spread and fire development in the offshore substation under different conditions, and obtaining a fire data set under each condition based on the situation.

[0030] The fire data set is trained to obtain a trained prediction model. Specifically, the fire data set is divided into a training set and a test set, and the model data is trained to obtain a trained prediction model. The prediction model uses a machine learning algorithm to divide the fire data obtained under different working conditions into a training set and a test set. The machine learning algorithm is used, and the support vector machine algorithm is selected. 70% of the data is selected as the training set, and the rest is used as the test set to test the model accuracy, and the fire risk index of each working condition and each fire is obtained. The fire risk index is used to predict the occurrence of a fire.

[0031] The step S3 sending the warning information includes voice reminder or text reminder. The voice reminder or text reminder in the embodiment is used to remind the technician that a fire may have occurred. The timely reminder can prevent the development of the fire and prevent the staff from leaving for a short time and not being able to check the monitoring screen in time, thereby avoiding negligence caused by the staff not checking the monitoring in time, which leads to the occurrence of a fire.

[0032] After confirming the occurrence of fire in step S4, the fire extinguishing device can be controlled to extinguish the fire; if no fire occurs, the electrical equipment is inspected and maintained. In the embodiment, when the occurrence of fire is confirmed from the monitoring screen, the staff will take measures to extinguish the fire in time. The specific fire extinguishing method is that the primary task is to cut off the power supply to prevent electric shock and the spread of the fire. Since it is an electrical device, the dry powder fire extinguisher is a carbon dioxide fire extinguisher for fire extinguishing. When a dry powder fire extinguisher is used, the medium in the dry powder fire extinguisher can be ammonium phosphate, sodium bicarbonate, etc., and a small amount of additives such as silicone oil and hydrophobic white carbon black are added to improve its fluidity and fire extinguishing effect, so as to better extinguish the flame; if the fire is not seen from the monitoring screen, the staff will first determine the location of the electrical equipment with a fire risk index according to the monitoring unit, and the electrical equipment with a fire risk index will be inspected and checked by the staff, and the electrical equipment will be comprehensively inspected and maintained, which can fundamentally reduce the probability of fire.

[0033] When an abnormality is found in the fire factor of the electrical equipment of the offshore booster station, the fire risk index is calculated according to the value of the fire factor, and the fire risk index is input into the trained prediction model. The risk of fire is judged by the prediction model, and the location of the electrical equipment is provided at the same time, so that the staff can quickly locate it, and determine whether a fire has occurred by combining the use of monitoring images to ensure the timeliness and accuracy of the response. Once the fire is confirmed, the staff will implement fire extinguishing and evacuation measures to effectively control the spread of the disaster. If the monitoring results show that no fire has occurred, but the fire risk index is high, the staff will be notified to conduct comprehensive inspection and maintenance of the electrical equipment, thereby fundamentally reducing the probability of fire. The present invention can not only effectively reduce the probability of fire in electrical equipment, but also improve the accuracy of fire prediction for electrical equipment.

[0034] Based on the same inventive concept, an embodiment of the present invention also provides an offshore substation fire warning system. Since the principle of solving the problem by the offshore substation fire warning system is similar to that of the aforementioned offshore substation fire warning method, the implementation of the offshore substation fire warning system can refer to the implementation of the offshore substation fire warning method, and the repeated parts will not be repeated.

[0035] In specific implementation, the offshore booster station fire warning system provided by the embodiment of the present invention specifically includes: Monitoring unit 2, used to obtain the fire factors of each electrical equipment in the offshore booster station; The first judgment unit 3 is used to judge the fire factor. If the fire factor is abnormal, the fire risk index is calculated according to the fire factor. If the fire factor is not abnormal, the process returns to step S1. The second judgment unit 4 judges the fire risk index. When the fire risk index is greater than the set threshold, an early warning message is sent, and the monitoring screen of the corresponding offshore substation electrical equipment is obtained according to the early warning message to confirm whether a fire has occurred; when the fire risk index is less than the set threshold, it returns to step S1.

[0036] The embodiment also includes a host 1, which is respectively connected to the monitoring unit 2, the first judgment unit 3 and the second judgment unit 4. The host 1 is configured to monitor electrical equipment at different locations through the monitoring unit, monitor the fire factors of the electrical equipment, highly concentrate all fire factors on the host 1, and realize information transmission through the host 1.

[0037] Correspondingly, an embodiment of the present invention further provides an offshore substation fire warning device, comprising a processor and a memory, wherein the processor implements an offshore substation fire warning method as provided in an embodiment of the present invention when executing a computer program stored in the memory.

[0038] For more specific processes of the above method, please refer to the corresponding contents disclosed in the aforementioned embodiments, which will not be repeated here.

[0039] Correspondingly, an embodiment of the present invention further provides a computer-readable storage medium for storing a computer program, wherein when the computer program is executed by a processor, the above-mentioned offshore booster station fire method provided in the embodiment of the present invention is implemented.

[0040] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the systems, devices, and storage media disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method part.

[0041] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0042] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0043] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0044] The offshore substation fire warning method, system, equipment and storage medium provided by the present invention are introduced in detail above. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for general technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A fire early warning method for an offshore booster station, characterized in that: The following steps are involved: S1. Obtain the fire factors of each electrical equipment in the offshore booster station; S2. Determine the fire factor. If the fire factor is abnormal, calculate the fire risk index based on the fire factor. If the fire factor is not abnormal, return to step S1. S3. Determine the fire risk index. When the fire risk index is greater than the set threshold, send an early warning message. According to the early warning message, obtain the monitoring screen of the corresponding offshore booster station electrical equipment to confirm whether a fire has occurred. When the fire risk index is less than the set threshold, the process returns to step S1.

2. According to claim 1, a fire early warning method for an offshore booster station is characterized in that: The specific process of step S1 is: real-time detection of various electrical equipment in the offshore booster station, wherein fire factors include smoke concentration, temperature and load current.

3. According to claim 1, a fire early warning method for an offshore booster station is characterized in that: The specific process of step S2 is: comparing the data value of each fire factor in different electrical equipment with a preset threshold value, and judging whether the data value of each fire factor exceeds the preset threshold value, if so, the fire factor is abnormal, if not, the fire factor is normal; When the fire factor is abnormal, the data value of the fire factor is input into the pre-trained prediction model, and the fire risk index is obtained according to the output of the prediction model.

4. According to claim 3, a fire early warning method for an offshore booster station is characterized in that: The training process of the prediction model includes: Establish an offshore booster station model, collect fire factors of several electrical equipment in the offshore booster station, and couple the fire factors to the model calculation; Set up a variety of fire conditions according to different electrical equipment, simulate the fire temperature, smoke density, load current, fire spread and fire development under different conditions, and obtain the fire data set; The fire data set is trained to obtain a trained prediction model.

5. According to claim 1, a fire early warning method for an offshore booster station is characterized in that: The step S3 sends the warning information including voice reminder or text reminder.

6. According to claim 1, a fire early warning method for an offshore booster station is characterized in that: When it is confirmed that a fire has occurred after step S3, the fire extinguishing device can be controlled to extinguish the fire; if no fire has occurred, the electrical equipment is inspected and repaired.

7. An offshore booster station fire warning system, characterized in that: include: Monitoring unit, used to obtain the fire factors of each electrical equipment in the offshore booster station; The first judgment unit is used to judge the fire factor. If the fire factor is abnormal, the fire risk index is calculated according to the fire factor. If the fire factor is not abnormal, the process returns to step S1. The second judgment unit judges the fire risk index. When the fire risk index is greater than a set threshold, an early warning message is sent, and the monitoring screen of the corresponding offshore booster station electrical equipment is obtained according to the early warning message to confirm whether a fire has occurred; When the fire risk index is less than the set threshold, the process returns to step S1.

8. The offshore booster station fire warning system according to claim 6, characterized in that: It also includes a host, which is connected to the monitoring unit, the first judgment unit and the second judgment unit respectively.

9. An offshore booster station fire warning device, characterized in that: It comprises a processor and a memory, wherein when the processor executes the computer program stored in the memory, it implements the offshore booster station fire warning method as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: Used to store a computer program, wherein when the computer program is executed by a processor, an offshore booster station fire warning method as described in any one of claims 1 to 6 is implemented.

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