A cable joint fire alarm system and method based on closed space

By optimizing detectors and conducting intelligent monitoring and space optimization of cable joints in enclosed spaces, the problem of unstable cable joint monitoring in enclosed spaces is solved, early fire alarms and space optimization are achieved, and the electrical operation and maintenance costs and fire risks of enclosed spaces are reduced.

CN120260202BActive Publication Date: 2025-09-26STATE GRID LIAONING SHENYANG ELECTRIC POWER SUPPLY COMPANY
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Patent Information

Application Number
CN202510474546.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-04-16
Publication Date
2025-09-26
Estimated Expiration
2045-04-16

AI Technical Summary

Technical Problem

Existing technologies for cable joints in enclosed spaces lack detectors optimized for environmental characteristics, resulting in unstable monitoring, slow response, and increased fire risk. Furthermore, there is a lack of long-term fire protection zone division and optimization, which increases electrical operation and maintenance costs.

Method used

The cable monitoring unit optimizes the detector, and through environmental data collection and historical alarm records, it realizes intelligent monitoring of cable joints and space optimization, including environment type identification, detector optimization, cable joint monitoring, fire alarm and space partition optimization.

Benefits of technology

It improves the accuracy and timeliness of cable joint monitoring, reduces fire losses in enclosed spaces, reduces equipment loss and operation and maintenance costs, and ensures the safety of electrical equipment.

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Patent Text Reader

Abstract

The present invention discloses a cable joint fire alarm system and method based on an enclosed space, and relates to the technical field of cable fire monitoring. The system optimizes the detector according to the accuracy, stability and response ability of the detector under the environmental type of the enclosed space, and then performs early fire monitoring and prevention on all cable joints in the enclosed space. The enclosed space is partitioned and optimized according to the fire alarm situation in the enclosed space, thereby realizing intelligent and automated monitoring and management of cable joints in the enclosed space, ensuring the effect of cable joint monitoring and the accuracy and timeliness of fire alarms, reducing fire losses in the enclosed space, and optimizing the enclosed space at the same time. It can reduce the impact of high-risk equipment on low-risk equipment in enclosed spaces with poor heat dissipation conditions, reduce equipment loss and replacement frequency, and reduce the cost of electrical operation and maintenance in the enclosed space.
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Description

Technical Field

[0001] The present invention relates to the technical field of cable fire monitoring, and in particular to a cable joint fire alarm system and method based on a closed space. Background Art

[0002] The poor ventilation conditions in enclosed spaces make the temperature and humidity inside the space relatively stable and less affected by external climate changes. At the same time, it also makes the cables in the enclosed space more susceptible to the influence of the stable environment, resulting in abnormal cable heat dissipation and increasing the risk of cable fire. Fire monitoring and fire alarms on cable joints in enclosed spaces can ensure electrical safety in enclosed spaces and reduce the risk of fire.

[0003] Existing technologies, such as the substation disconnector fault monitoring system disclosed in the application with publication number CN118937987A, include a data acquisition module, an environmental interference detection module, a data fusion module, a fault prediction module, and a dynamic threshold adjustment module; the data acquisition module collects the operating parameters of the substation disconnector through multiple redundant sensors, including current, voltage, temperature, and vibration signals, and transmits the collected data to the data processing unit in real time. The present invention uses the data acquisition module, the environmental interference detection module, and the data fusion module to work together, and adopts advanced noise filtering and wavelet transform technology to accurately filter out interference signals and ensure data accuracy. The Kalman filter is used to fuse multi-sensor data to reduce the risk of fault misjudgment, and a fault prediction module and a dynamic threshold adjustment module are introduced to predict faults and dynamically adjust thresholds through machine learning algorithms to ensure stable operation of the system in complex environments and reduce the risk of power outages.

[0004] Existing technologies, such as the electrical information-based fire warning system disclosed in application publication number CN118587833A, include an electrical behavior analysis module, an abnormal behavior identification module, an environmental factor analysis module, a comprehensive judgment and warning module, and a feedback control module. The electrical behavior analysis module collects electrical equipment parameters; the abnormal behavior identification module analyzes whether electrical equipment behavior deviates from normal patterns; the environmental factor analysis module analyzes the impact of environmental factors on electrical safety; the comprehensive judgment and warning module performs a comprehensive judgment to determine whether a fire risk exists; and the feedback optimization module provides feedback information to the electrical behavior analysis module for optimization. This invention, through intelligent analysis and adaptive learning, effectively achieves early identification and accurate warning of electrical fire risks, while significantly reducing false alarm rates and providing a long-term and effective electrical safety management solution.

[0005] The above scheme has at least the following shortcomings: 1. The environment of the closed space is complex and special, and it is difficult for people to enter and exit the closed space. Therefore, a relatively stable and fast-responding detector is needed to monitor the cable joints in the closed space. However, the number of detectors required in the closed space is small, and it is impossible to directly purchase detectors that meet the requirements of the closed space. Therefore, it is necessary to optimize the detector according to the environmental characteristics of the closed space, so that the detector is more adapted to the environment and the accuracy and efficiency of monitoring are increased. However, the above scheme only optimizes the sensor detection data processing process, and does not optimize the detector itself according to the environmental impact on the detector itself. It cannot reduce the environmental impact on the detector, and thus cannot ensure the stability of the transmission efficiency of the closed space detector detection, reduce the response speed of the cable joint fire alarm, and increase the risk of fire in the closed space.

[0006] 2. Reasonable fire zone division and fire prevention measures in enclosed spaces can reduce losses in the event of a fire. However, the above scheme only monitors the early stages of a fire and lacks spatial planning of the enclosed space based on long-term alarm records. As a result, it cannot reduce losses in the event of a fire. At the same time, it cannot reduce the impact of high-risk equipment on low-risk equipment, increases the loss of all equipment in the enclosed space, and increases the cost of electrical operation and maintenance in the enclosed space. Summary of the Invention

[0007] In view of the above-mentioned technical deficiencies, the object of the present invention is to provide a cable joint fire alarm system and method based on a closed space.

[0008] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a cable joint fire alarm system based on a closed space, comprising: a cable monitoring unit, a fire alarm unit and a space optimization unit.

[0009] The cable monitoring unit is used to collect environmental data of the closed space, optimize the detector, monitor multiple cable joints in the closed space, and obtain monitoring data of each cable joint.

[0010] The fire alarm unit is used to determine whether there is a fire risk at the cable joint based on the monitoring data of each cable joint, and to generate an alarm if there is a fire risk.

[0011] The space optimization unit is used to obtain historical fire alarm records of cable joints within a preset period, evaluate whether the enclosed space needs space optimization, and if so, set an optimization plan for the enclosed space.

[0012] In a second aspect, the present invention provides a cable joint fire alarm method based on a closed space, including S1, cable monitoring: collecting environmental data of the closed space, optimizing the detector, and monitoring multiple cable joints in the closed space to obtain monitoring data of each cable joint.

[0013] S2. Fire alarm: Based on the monitoring data of each cable joint, determine whether there is a fire risk at the cable joint, and if so, alarm.

[0014] S3. Space optimization: Obtain historical fire alarm records of cable joints within a preset period to evaluate whether the enclosed space needs space optimization. If so, set an optimization plan for the enclosed space.

[0015] The beneficial effects of the present invention are: the present application provides a cable joint fire alarm system and method based on a closed space, which optimizes the detector according to its accuracy, stability and responsiveness under the environmental type of the closed space, and then performs early fire monitoring and prevention on all cable joints in the closed space, and partitions and optimizes the closed space according to the fire alarm situation in the closed space, thereby realizing intelligent and automated monitoring and management of cable joints in the closed space, ensuring the effectiveness of cable joint monitoring and the accuracy and timeliness of fire alarms, reducing fire losses in the closed space, and optimizing the closed space at the same time, which can reduce the impact of high-risk equipment on low-risk equipment in closed spaces with poor heat dissipation conditions, reduce equipment loss and replacement frequency, and reduce the cost of electrical operation and maintenance in the closed space. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0018] Figure 2 The figure is a flow chart of the steps for implementing the method of the present invention. DETAILED DESCRIPTION

[0019] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0020] Example 1:

[0021] See Figure 1 As shown, a cable joint fire alarm system based on a closed space, a cable monitoring unit, a fire alarm unit and a space optimization unit.

[0022] The cable monitoring unit is used to collect environmental data of the closed space, optimize the detector, monitor multiple cable joints in the closed space, and obtain monitoring data of each cable joint.

[0023] In a specific embodiment, the cable monitoring unit includes an environmental testing module and a data monitoring module; the environmental testing module is used to collect environmental data of the enclosed space, obtain the environmental type of the enclosed space, and then perform environmental testing on the detector based on the environmental type of the enclosed space, optimize the detector, and perform corresponding optimization.

[0024] In the above, the specific process of the environmental testing module is: S11-1, using environmental detection equipment to collect environmental data of the closed space, comparing the environmental data of the closed space with the reference environmental data intervals corresponding to each environmental type in the data center, and obtaining the environmental type of the closed space.

[0025] Among them, environmental detection equipment includes temperature sensors, humidity sensors, gas sensors, dust concentration sensors and electromagnetic interference detectors, and environmental data includes temperature, humidity, corrosive gas concentration, dust concentration and electromagnetic interference frequency.

[0026] Each environment type is set by the electrical management personnel according to the monitoring requirements. The environment types include high temperature type, high temperature and high humidity type, and high temperature and strong electromagnetic interference type. The reference environment data interval corresponding to each environment type represents the required environment data interval corresponding to each environment type, and is set by the electrical management personnel according to the monitoring requirements. Taking the high temperature type as an example, the reference temperature interval for the high temperature type can be 25°C and above, or 30°C and above. No specific numerical restrictions are imposed here.

[0027] When the environmental data of the closed space is within the reference environmental data interval corresponding to a certain environmental type in the data center, the environmental type is the environmental type of the closed space.

[0028] S11-2. Set up a control group and a test group, wherein both the control group and the test group are closed spaces, and the environment type in the control group is a conventional environment, and the environment type in the test group is an enclosed space environment type. Heating devices and detectors are placed in both the control group and the test group. The heating devices in the control group and the test group are controlled to have the same temperature. Then, the detectors in the control group and the test group are used to collect the monitoring temperatures of the heating devices multiple times and simultaneously. The detectors transmit the monitoring temperatures of the heating devices in the control group and the test group to the receiving terminal.

[0029] It should be noted that the normal environment is the optimal operating environment for the detector, which can be obtained from the detector's manual and is set by the detector manufacturer. The detector is a heat-sensing fire detector.

[0030] S11-3. The receiving terminal records the receiving time points of each monitoring temperature of the heating device in the control group and the test group, and uses the monitoring temperatures and receiving time points of the heating device in the control group and the test group to analyze the accuracy level, stability level and response ability level of the detector in the test group.

[0031] Preferably, the analysis process of the accuracy level, stability level and response ability level of the detector in the test group is as follows: the monitoring temperatures of the heating devices in the control group and the test group are respectively recorded as T1 y and T2 y , y is the number of each monitored temperature, y is a positive integer, and the number of each monitored temperature is numbered in the order of its monitoring; the accuracy level of the detector in the test group is: Where r1 is the accuracy level of the detector in the test group, R1 is the maximum accuracy level, r1∈[1,R1], r and R are both positive integers, Y represents the number of monitored temperatures, τ1, τ r1-1 , τ r1 , τ R1-1 They are respectively the preset lower limit value of the difference rate of accuracy level 1, the lower limit value of the difference rate of accuracy level r1-1, the lower limit value of the difference rate of accuracy level r1, and the lower limit value of the difference rate of accuracy level R1-1.

[0032] It should be noted that the higher the accuracy level, the higher the accuracy, and the smaller the difference rate, the higher the accuracy. Therefore, the smaller the difference rate, the higher the accuracy level. The lower limit of the difference rate corresponding to each accuracy level is set by the electrical management personnel based on monitoring requirements. Assuming that there are three accuracy levels, the lower limit of the difference rate for Level 1 can be set to 0.2, the lower limit of the difference rate for Level 2 can be set to 0.15, and the lower limit of the difference rate for Level 3 can be set to 0.10. The specific accuracy level and its lower limit of the difference rate can be adjusted according to needs and are not restricted here.

[0033] The analysis process of the stability level of the detectors in the test group is as follows: Using the calculation formula: Get the fluctuation rate κ of the yth monitoring temperature of the detector in the test group y , where T1 y-1 and T2 y-1 represents the y-1th monitored temperature of the heating device in the control group and the test group respectively; the maximum volatility and the minimum volatility are selected from the volatility of each monitored temperature of the detector in the test group, and the difference between the maximum volatility and the minimum volatility is calculated as the volatility difference of the detector, recorded as Δκ, and then the volatility difference is compared with the volatility range corresponding to each preset stability level. When the volatility difference is within the volatility range corresponding to a certain stability level, the stability level is the stability level of the detector in the test group.

[0034] The process of setting the volatility interval corresponding to each stability level is the same as the process of setting the lower limit of the difference rate corresponding to each accuracy level, and will not be repeated here.

[0035] The reaction capability level analysis process of the detector in the test group is as follows: the difference between the receiving time points of each monitoring temperature of the heating device in the control group and the test group is calculated, and then the mean is calculated to obtain the average reception delay time, and the average reception delay time is compared with the reception delay time interval corresponding to each reaction capability level. When the average reception delay time is within the reception delay time interval corresponding to a certain reaction capability level, the reaction capability level is used as the reaction capability level of the detector in the test group.

[0036] The process of setting the reception delay time interval corresponding to each responsiveness level is the same as the process of setting the difference rate lower limit corresponding to each accuracy level, and will not be elaborated here.

[0037] S11-4. Obtain the accuracy level, stability level, and responsiveness level, optimization scheme, and optimization parameters of each historical detector used in each enclosed space from the data center, and set an optimization improvement table for the detector.

[0038] Preferably, the numerical combination of the accuracy level, stability level, and responsiveness level is used as the performance impact type number. For example, if the accuracy level, stability level, and responsiveness level of the detectors in the test group are 3, 5, and 4, respectively, the performance impact type number of the detectors in the test group is 354. Based on this, the performance impact type number of each historical detector used in each enclosed space is obtained, the historical detectors in each performance impact type are counted, and the optimization scheme and optimization parameters of each historical detector in each performance impact type are obtained. The optimization score of each optimization scheme used for each performance impact type is calculated.

[0039] In the above, the optimization plan includes physical optimization and algorithm optimization. The contents of physical optimization include adding 1 heat sink, adding 2 heat sinks and adding 1 metal shielding cover, etc., and the contents of physical optimization are numbered in sequence, namely A1, A2 and A3, etc. The contents of algorithm optimization include adding mean filtering algorithm, adding median filtering algorithm, adding Kalman filtering algorithm and adding adaptive algorithm, etc., and the contents of algorithm optimization are numbered in sequence, respectively B1, B2 and B3, etc., then the plan of the optimization plan is a combination of the numbering of the physical optimization content and the numbering of the algorithm optimization content. Assuming that the physical optimization in the optimization plan includes adding 2 heat sinks and adding 1 metal shielding cover, and the content of algorithm optimization is adding median filtering algorithm, then the number of the optimization plan is A2,3-B2.

[0040] Extract the optimization scheme number of each historical detector in each performance impact type, combine the historical detectors with the same optimization scheme number, and obtain the historical detectors using each optimization scheme in each performance impact type. Then, obtain the optimized accuracy level, stability level, and responsiveness level from the optimization parameters of each historical detector using each optimization scheme in each performance impact type. The calculation formula for the optimization score is: Where M xf Indicates the optimization score of the xth performance impact type using the fth optimization solution, x represents the number of the performance impact type, x={111,112,.....,nnn}, n represents a positive integer, f represents the number of the optimization solution, x={A1-B1,A1,2-B1,2,.....,An,n′-Bn,n′,......}, n′ represents a positive integer, n′ is not equal to n, They respectively represent the accuracy optimization score, stability optimization score, and responsiveness optimization score of the x-th performance impact type using the f-th optimization solution. ω1, ω2, and ω3 are the weight factors of the accuracy optimization score, the stability optimization score, and the responsiveness optimization score, respectively.

[0041] in, The scoring rule is as follows: St1. Multiply the maximum value of the accuracy level by 0.6, and the result is the passing accuracy level.

[0042] St2. Under the premise that the accuracy level is lower than the passing accuracy level, if the accuracy level after optimization is lower than the passing accuracy level, the accuracy optimization score is 0; if the accuracy level after optimization is greater than or equal to the passing accuracy level, the accuracy optimization score is 60+20×(accuracy level after optimization - passing accuracy level).

[0043] St3. On the premise that the accuracy level is greater than or equal to the passing accuracy level, if the optimized accuracy level is less than or equal to the accuracy level, the accuracy optimization score is 0; if the optimized accuracy level is greater than the accuracy level, the accuracy optimization score is 10×(optimized accuracy level - accuracy level).

[0044] The scoring rules for stability optimization score and responsiveness optimization score are the same as St1-St3, so we will not elaborate on them here. Based on this, we can obtain the accuracy optimization score, stability optimization score, and responsiveness optimization score of each historical detector in the f-th optimization scheme for the x-th performance impact type, and then calculate the average to obtain and

[0045] The setting process of ω1, ω2, and ω3: If the accuracy level, stability level, and responsiveness level are all less than, equal to, or greater than the passing level of accuracy, the passing level of stability, and the passing level of responsiveness, then ω1, ω2, and ω3 are all 1 / 3; if only one of the accuracy level, stability level, and responsiveness level is greater than or equal to its passing level, then the weight factor of the optimization score greater than its passing level is set to 0.2, and the rest are all 0.4; if only one of the accuracy level, stability level, and responsiveness level is less than its passing level, then the weight factor of the optimization score less than its passing level is set to 0.6, and the rest are all 0.2.

[0046] Use the optimization score of each optimization solution according to each performance impact type to set the detector's optimization improvement table.

[0047] Taking the performance impact type 354 of the detector in the test group as an example, the optimization improvement table of the detector is:

[0048] Detector optimization improvement table

[0049]

[0050] S11-5. Based on the accuracy level, stability level, and responsiveness level of the detectors in the test group, an optimization solution for the detector is obtained from the detector optimization improvement table, and corresponding optimization is performed.

[0051] From the detector optimization improvement table, the optimization solution with the largest optimization score among the performance impact type numbers of the detectors in the test group is selected as the optimization solution for the detector.

[0052] The data monitoring module is used to monitor all cable joints in the closed space and obtain monitoring data of each cable joint after the detector optimization is completed.

[0053] In a specific embodiment, the specific process of the data monitoring module is: S12-1. Obtain an overall image of the enclosed space from the data center, use image recognition technology to obtain the joint position of each cable in the enclosed space, use the joint position of each cable as the center of the circle and the preset distance as the radius to construct a monitoring area for each cable joint, set several monitoring points in the monitoring area of ​​each cable joint, use the overall image of the enclosed space to evaluate the priority value of each monitoring point, select the monitoring point with the largest priority value as the installation position of each cable joint, and install several optimized detectors at the installation position of each cable joint.

[0054] It should be noted that after the cables are installed in the enclosed space, the camera captures an overall image of the enclosed space and saves it to the data center. When setting up multiple monitoring points within the monitoring area of ​​each cable connector, if there are obstacles or other equipment in the monitoring area, the obstacles or other equipment should be removed from the monitoring area before deployment.

[0055] Preferably, the image processing technology is used to obtain the distance from each monitoring point to each cable joint in the monitoring area of ​​each cable joint, as the monitoring distance of each monitoring point in the monitoring area of ​​each cable joint; the orientation direction of each cable joint is used as the horizontal axis, and each cable joint is used as the origin to construct a plane rectangular coordinate system, thereby obtaining the angle between each monitoring point in the monitoring area of ​​each cable joint and the straight line of each cable joint and the horizontal axis, as the monitoring angle of each monitoring point in the monitoring area of ​​each cable joint; at the same time, the distance between each monitoring point in the monitoring area of ​​each cable joint and each obstacle is obtained from the overall image of the closed space, and the mean is calculated to obtain the obstacle distance of each monitoring point in the monitoring area of ​​each cable joint, and the monitoring distance, monitoring angle and obstacle distance of each monitoring point in the monitoring area of ​​each cable joint are normalized and then recorded as a1 respectively. qw 、a2 qw and a3 qw , where q represents the number of each cable joint, w represents the number of each monitoring point, q and w are both positive integers, and the calculation formula is: Get the priority value of the wth monitoring point in the monitoring area of ​​the qth cable joint.

[0056] The embodiment of the present invention avoids blocking the detector's signal receiving path by selecting monitoring points with short monitoring distance, small angle and far away from obstacles, ensures that the heat generated by the cable connector is smoothly transferred to the detector, and guarantees the authenticity of the monitoring data.

[0057] S12-2. Use a detector to collect the temperature of each cable joint multiple times, obtain the temperature of each cable joint collected each time, and at the same time obtain the electrical data of each cable joint collected each time from the electrical control center, and use the temperature and electrical data of each cable joint collected each time as the monitoring data of each cable joint.

[0058] Electrical data includes voltage and current. Cable connectors are equipped with voltage and current sensors and other devices, which are connected to the electrical control center via the Internet of Things. These devices transmit the collected electrical data to the electrical control center.

[0059] The fire alarm unit is used to determine whether there is a fire risk at the cable joint based on the monitoring data of each cable joint, and to generate an alarm if there is a fire risk.

[0060] The fire alarm unit includes a monitoring data analysis module and an initial fire alarm module.

[0061] The monitoring data analysis module is used to obtain the alarm records of each cable joint from the data center, and then use the monitoring data of each cable joint to analyze whether each cable joint has the risk of fire. The specific process is: obtain the temperature and electrical data corresponding to each alarm of each cable joint from the alarm records of each cable joint, select the minimum temperature and minimum electrical data as the temperature threshold and electrical data threshold of each cable joint, when the temperature or electrical data collected at a certain cable joint is greater than or equal to the temperature threshold or electrical data threshold of the cable joint, it indicates that the cable joint has the risk of fire. If the temperature and electrical data collected at each time of a cable joint are less than the temperature threshold and electrical data threshold of the cable joint, it indicates that the cable joint does not have the risk of fire. Based on this, whether each cable joint has the risk of fire is analyzed.

[0062] The initial fire alarm module is used to activate the alarm to issue an initial fire alarm when there is at least one cable joint with a risk of fire, mark each cable joint with a risk of fire as a marked joint, obtain the electrical structure diagram of the enclosed space from the data center, and perform protective control on the electrical equipment in the enclosed space.

[0063] Among them, the electrical structure diagram is a connection structure diagram of cables and electrical equipment in a closed space.

[0064] In a specific embodiment, the protective control of electrical equipment in a closed space is performed as follows: S22-1. The electrical equipment directly connected to each marked connector is obtained from the electrical structure diagram as associated equipment. At the same time, the position of each marked connector is clustered with the position of each electrical equipment to obtain each risk area, the temperature and electrical data of each electrical equipment in each risk area are obtained, and the risk level of each risk area is set.

[0065] In the above, according to the analysis method of analyzing whether each cable joint has the risk of fire, it is analyzed whether each electrical equipment in each risk area has the risk of fire, and each electrical equipment with the risk of fire is recorded as each risk equipment, the number of risk equipment and the number of marked joints in each risk area are counted, and the sum of the number of risk equipment and the number of marked joints in each risk area is taken as the number of risk points in each risk area, and the number of risk points in each risk area is divided by the area of ​​each risk area to obtain the risk point density of each risk area, and the number of risk points and the risk point density in each risk area are compared with the risk point number interval and the risk point density interval of each risk level respectively. If the risk point number and risk point density in a risk area are respectively within the risk point number interval and the risk point density interval of a certain risk level, then the risk level is taken as the risk level of the risk area, and the risk level of each risk area is obtained accordingly.

[0066] It should be noted that the area of ​​each risk region can be obtained from the overall image of the closed space.

[0067] Among them, the setting process of the risk point quantity interval and risk point density interval for each risk level is the same as the setting process of the lower limit value of the difference rate corresponding to each accuracy level, which will not be repeated here.

[0068] S22-2. Obtain the number of associated devices for each marked connector in each risk area and the risk level of each risk area, and analyze the protection type of electrical equipment in the enclosed space, where the protection type includes overall protection and local protection.

[0069] In the above, the protection type of electrical equipment in enclosed spaces is analyzed. The specific process is: using the analysis formula: Get the protection value of the z-th risk area z represents the number of each risk area, z is a positive integer, S z GL z They represent the area of ​​the z-th risk area and the total number of associated devices of each marked connector in the z-th risk area, respectively. S and GL represent the area of ​​the enclosed space and the number of electrical devices in the enclosed space, respectively. GL can be obtained from the data center.

[0070] When the protection value of each risk area is less than or equal to the preset protection value threshold, it indicates that the protection type of the electrical equipment in the enclosed space is local protection. When the protection value of at least one risk area is greater than the preset protection value threshold, it indicates that the protection type of the electrical equipment in the enclosed space is overall protection.

[0071] It should be noted that the protection value threshold is a benchmark value used to assess whether the danger in the risk area is serious. When it is greater than the protection value threshold, it indicates that the risk area is relatively dangerous. The area of ​​the risk area and the associated electrical equipment are large, and the impact is large. The equipment needs to be shut down as a whole to ensure the safety of the equipment. The specific value is set by the electrical management personnel according to the monitoring needs. It can be 20 or 18, and no specific restrictions are made here.

[0072] S22-3. When the protection type is overall protection, shut down all electrical equipment in the enclosed space. When the protection type is local protection, shut down all electrical equipment in each risk area and install fire-retardant devices at the edge of each risk area.

[0073] In the above, the fire-blocking device is a facility used for fire separation, such as a fire-proof roller shutter.

[0074] The space optimization unit is used to obtain historical fire alarm records of cable joints within a preset period, evaluate whether the enclosed space needs space optimization, and if so, set an optimization plan for the enclosed space.

[0075] In a specific embodiment, the space optimization unit includes an optimization necessity analysis module and a fire protection area setting module.

[0076] The fire prevention necessity analysis module is used to obtain historical fire alarm records of cable joints within a preset period from the data center, obtain the protection type corresponding to each historical alarm from the historical fire alarm records, and analyze the fire impact level in the enclosed space, where the fire impact level includes level 1, level 2 and level 3; when the fire impact level is greater than or equal to level 2, it indicates that the enclosed space needs space optimization, and when the fire impact level is level 1, it indicates that the enclosed space does not need space optimization.

[0077] In the above, the analysis of the fire impact level in the enclosed space is as follows: the number of overall protection and the number of local protection are counted, which are recorded as ZF and JF respectively. The time of each overall protection and the time of each historical alarm are obtained from the historical fire alarm records, and the frequency of overall protection and the frequency of alarm are obtained, which are recorded as ff1 and ff2 respectively. The analysis formula is used:

[0078] The fire protection impact level θ in the enclosed space is obtained, where ff′ and ff″ are the frequency thresholds of the overall protection and the alarm respectively, and ζ min ,ζ max They are the lower and upper fire risk thresholds that are set respectively.

[0079] The setting process of ff′ and ff″ is the same as that of the protection value threshold, ζ min ,ζ maxThe setting process is the same as the protection value threshold setting process, so I will not go into details here.

[0080] The fire protection zone setting module is used to obtain the protection type corresponding to each historical alarm from the historical fire alarm records when the enclosed space needs to be optimized, analyze the fire prevention level of each cable joint and the fire impact level of each electrical equipment, and then divide the enclosed space into zones.

[0081] Preferably, the enclosed space is divided into areas, and the specific process is: S32-1, obtaining each risk area corresponding to each historical local protection and the overall protection area corresponding to each historical overall protection, constructing a protection heat map of the enclosed space, and at the same time obtaining each marked joint corresponding to each historical alarm and the switch status of each electrical equipment, counting the number of times each cable joint is marked as a marked joint and the number of times each electrical equipment is closed, as the fire protection number of each cable joint and the protection number of each electrical equipment, setting the protection level of each cable joint; wherein, the fire protection levels include level 1, level 2 and level 3.

[0082] In the above, the protection level of each cable joint is set. The specific process is: obtain the protection times of each associated device corresponding to each cable joint, and then accumulate them to obtain the total protection times of the associated devices of each cable joint. The fire protection times of each cable joint and the total protection times of the associated devices are normalized. The processed values ​​are recorded as c1 and c2. q and c2 q , protection level of each cable connector: Where c min 、c max are the lower and upper fire risk thresholds respectively, where c min 、c max The setting process is the same as the protection value threshold setting process, so I will not repeat it here.

[0083] S32-2. Use the protection heat map of the enclosed space and the protection level of each cable joint to divide the enclosed space into high protection zone, medium protection zone and low protection zone.

[0084] In the above, the position of each cable joint is located in the protection heat map of the enclosed space, and marked with the color corresponding to each protection level. The enclosed space is divided into partitions using multiple division methods. The color uniformity and maximum color value of each partition in various division methods are obtained from the protection heat map. The partition with the largest maximum color value is selected from each partition as the target high protection partition in various division methods. Then, the number of obstacles, the number of level 3 cable joints, the total number of associated equipment of the level 3 cable joints, and the size of the free space in the target high protection partition in various division methods are obtained from the overall image of the enclosed space. Then, normalization processing is performed, and the processed values ​​are recorded as d1 respectively.u d2 u , d3 u and d4 u , u represents the number of various division methods, u is a positive integer, and the calculation formula is: Get the priority value β of the target high protection partition in the u-th partitioning method u Select the partitioning method with the highest priority for the target high-protection zone as the enclosed space division method, and designate the target high-protection zone in this division method as the high-protection zone. Designate the zone farthest from the high-protection zone as the medium-protection zone, and the remaining zones as the low-protection zones. Then, place the Level 1, Level 2, and Level 3 cable connectors in the low-protection zone, medium-protection zone, and high-protection zone, respectively. Use fire arresters to separate the high-protection zone.

[0085] Among them, the color value is the RGB value.

[0086] It should be noted that the division methods include formal division and equal-area division. For example, when multiple obstacles and electrical equipment are on the same plane, the space is separated by the plane. Equal-area division, for example, divides the area of ​​the enclosed space into three equal zones.

[0087] The embodiment of the present invention selects an area with sufficient remaining space as a high-protection partition, so that there is enough space to deploy detectors during subsequent monitoring of cable joints, thereby improving the monitoring effect of the detectors. At the same time, an area with fewer obstacles is selected as a high-protection partition to reduce the impact of obstacles on detector monitoring and ensure the accuracy of the detectors.

[0088] In the above, the calculation process of the color uniformity of each partition is as follows: each partition is divided into several intervals, and then the number of pixels in each interval is obtained. The number of pixels in each interval is divided by the total number of pixels to obtain the pixel probability of each interval, which is recorded as p h (i), h represents the number of each partition, i represents the number of each interval, h and i are both positive integers, the color uniformity of each partition Here, n′″ represents the number of intervals.

[0089] By separating the high protection area from the medium protection area, the embodiment of the present invention can effectively reduce the impact of cables in the high protection area on cable connectors and equipment in the medium protection area, thereby ensuring the safety of the medium and low protection zones.

[0090] Example 2:

[0091] See Figure 2 As shown, a cable joint fire alarm method based on a closed space includes: S1, cable monitoring: collecting environmental data of the closed space, optimizing detectors, and monitoring multiple cable joints in the closed space to obtain monitoring data of each cable joint.

[0092] S2. Fire alarm: Based on the monitoring data of each cable joint, determine whether there is a fire risk at the cable joint, and if so, alarm.

[0093] S3. Space optimization: Obtain historical fire alarm records of cable joints within a preset period to evaluate whether the enclosed space needs space optimization. If so, set an optimization plan for the enclosed space.

[0094] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. A cable joint fire alarm system based on a closed space, characterized in that: include: cable monitoring units, fire alarm units, and space optimization units; The cable monitoring unit is used to collect environmental data of the enclosed space, optimize the detector, and monitor multiple cable joints in the enclosed space to obtain monitoring data of each cable joint; The fire alarm unit is used to determine whether there is a fire risk at the cable joint based on the monitoring data of each cable joint, and to generate an alarm if there is a fire risk; The space optimization unit is used to obtain historical fire alarm records of cable joints within a preset period, evaluate whether the enclosed space needs space optimization, and if so, set an optimization plan for the enclosed space; The space optimization unit includes an optimization necessity analysis module and a fire protection area setting module; The fire prevention necessity analysis module is used to obtain historical fire alarm records of cable joints within a preset period from the data center, obtain the protection type corresponding to each historical alarm from the historical fire alarm records, and analyze the fire impact level in the enclosed space, where the fire impact level includes level 1, level 2, and level 3; when the fire impact level is greater than or equal to level 2, it indicates that the enclosed space needs space optimization, and when the fire impact level is level 1, it indicates that the enclosed space does not need space optimization; The fire protection zone setting module is used to obtain the protection type corresponding to each historical alarm from the historical fire alarm records when the enclosed space needs to be optimized. It analyzes the fire prevention level of each cable connector and the fire impact level of each electrical equipment, and then divides the enclosed space into zones. The specific process of analyzing the fire impact level in the enclosed space is as follows: the number of overall protection and the number of local protection are counted, which are recorded as ZF and JF respectively, and the time of each overall protection and the time of each historical alarm are obtained from the historical fire alarm records, and the frequency of overall protection and the frequency of alarm are obtained, which are recorded as ff1 and ff2 respectively. The analysis formula is used: The fire protection impact level θ in the enclosed space is obtained, where ff′ and ff″ are the frequency thresholds of the overall protection and the alarm respectively, and ζ min ,ζ max They are the lower and upper fire risk thresholds that are set respectively.

2. A cable joint fire alarm system based on a closed space according to claim 1, characterized in that: The cable monitoring unit includes an environmental testing module and a data monitoring module; The environmental testing module is used to collect environmental data of the enclosed space, obtain the environmental type of the enclosed space, and then perform environmental testing on the detector based on the environmental type of the enclosed space to optimize the detector; The data monitoring module is used to monitor all cable joints in the closed space and obtain monitoring data of each cable joint after the detector optimization is completed.

3. A cable joint fire alarm system based on a closed space according to claim 2, characterized in that: The specific process of the environmental test module is as follows: S11-1. Collect environmental data of the enclosed space using environmental detection equipment, compare the environmental data of the enclosed space with reference environmental data intervals corresponding to various environmental types in the data center, and obtain the environmental type of the enclosed space; S11-2. Set up a control group and a test group, where both the control group and the test group are enclosed spaces, and the environment type in the control group is a conventional environment, while the environment type in the test group is an enclosed space environment. Heaters and detectors are placed in both the control group and the test group, and the temperatures of the heaters in the control group and the test group are controlled to be the same. The detectors in the control group and the test group are then used to simultaneously collect the monitored temperatures of the heaters multiple times. The detectors transmit the monitored temperatures of the heaters in the control group and the test group to a receiving terminal. S11-3. The receiving terminal records the receiving time points of each monitored temperature of the heating device in the control group and the test group, and uses the monitored temperatures and receiving time points of the heating device in the control group and the test group to analyze the accuracy level, stability level, and responsiveness level of the detector in the test group; S11-4. Obtain the accuracy level, stability level, and responsiveness level, optimization scheme, and optimization parameters of each historical detector used in each enclosed space from the data center, and set an optimization improvement table for the detector; S11-5. Based on the accuracy level, stability level, and responsiveness level of the detectors in the test group, an optimization solution for the detector is obtained from the detector optimization improvement table, and corresponding optimization is performed.

4. A cable joint fire alarm system based on a closed space according to claim 2, characterized in that: The specific process of the data monitoring module is as follows: S12-1. Obtain an overall image of the enclosed space from the data center, use image recognition technology to obtain the location of each cable joint in the enclosed space, construct a monitoring area for each cable joint with the location of each cable joint as the center and a preset distance as the radius, set a number of monitoring points in the monitoring area for each cable joint, evaluate the priority value of each monitoring point using the overall image of the enclosed space, select the monitoring point with the largest priority value as the installation location for each cable joint, and install the optimized number of detectors at the installation location of each cable joint; S12-2. Use a detector to collect the temperature of each cable joint multiple times, obtain the temperature of each cable joint collected each time, and at the same time obtain the electrical data of each cable joint collected each time from the electrical control center, and use the temperature and electrical data of each cable joint collected each time as the monitoring data of each cable joint.

5. The cable joint fire alarm system based on a closed space according to claim 1, characterized in that: The fire alarm unit includes a monitoring data analysis module and an initial fire alarm module; The monitoring data analysis module is used to obtain the alarm records of each cable joint from the data center, and then use the monitoring data of each cable joint to analyze whether each cable joint has the risk of fire; The initial fire alarm module is used to activate the alarm to issue an initial fire alarm when there is at least one cable joint with a risk of fire, mark each cable joint with a risk of fire as a marked joint, obtain the electrical structure diagram of the enclosed space from the data center, and perform protective control on the electrical equipment in the enclosed space.

6. A cable joint fire alarm system based on a closed space according to claim 5, characterized in that: The specific process of protecting and controlling the electrical equipment in the enclosed space is as follows: S22-1. Obtain each electrical device directly connected to each marked connector from the electrical structure diagram as each associated device. Cluster the locations of each marked connector and each electrical device to obtain risk areas. Obtain the temperature and electrical data of each electrical device in each risk area and set a risk level for each risk area. S22-2. Obtain the number of associated devices for each marked connector in each risk area and the risk level of each risk area, and analyze the protection type of electrical equipment in the enclosed space, where the protection type includes overall protection and local protection; S22-3. When the protection type is overall protection, shut down all electrical equipment in the enclosed space. When the protection type is local protection, shut down all electrical equipment in each risk area and install fire-retardant devices at the edge of each risk area.

7. A cable joint fire alarm system based on a closed space according to claim 6, characterized in that: The specific process of dividing the enclosed space into regions is as follows: S32-1. Obtain each risk area corresponding to each historical local protection and the overall protection area corresponding to each historical overall protection, construct a protection heat map of the enclosed space, and simultaneously obtain the switch status of each marked joint and each electrical device corresponding to each historical alarm. Count the number of times each cable joint is marked as a marked joint and the number of times each electrical device is shut down, and use these as the fire protection number of each cable joint and the protection number of each electrical device. Set the protection level of each cable joint; the fire protection levels include level 1, level 2, and level 3. S32-2. Use the protection heat map of the enclosed space and the protection level of each cable joint to divide the enclosed space into high protection zone, medium protection zone and low protection zone.

8. A cable joint fire alarm method implemented by the cable joint fire alarm system based on a closed space according to any one of claims 1 to 7, characterized in that: include: S1. Cable monitoring: Collect environmental data of the enclosed space, optimize the detector, and monitor multiple cable joints in the enclosed space to obtain monitoring data for each cable joint; S2. Fire alarm: Based on the monitoring data of each cable joint, determine whether there is a fire risk at the cable joint, and if so, issue an alarm; S3. Space optimization: Obtain historical fire alarm records of cable joints within a preset period to evaluate whether the enclosed space needs space optimization. If so, set an optimization plan for the enclosed space.

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