Fire-fighting cable detection device

Abstract

The invention relates to the field of cable detection, and discloses a fire-fighting cable detection device, which is used for solving the problem that the state of a cable cannot be accurately judged by previous detection parameters due to environmental problems when the fire-fighting cable is detected, and the method comprises the following steps: arranging a sensor for detection on the fire-fighting cable in a refrigeration house, the method comprises the following steps: acquiring embrittlement data of a fire-fighting cable, calculating and analyzing according to the embrittlement data to obtain an embrittlement-prone coefficient, acquiring condensation data of the fire-fighting cable through a sensor, calculating and analyzing according to the condensation data to obtain a condensate water coefficient, acquiring pull-down data of the fire-fighting cable through the sensor, and calculating and analyzing according to the pull-down data to obtain a surface pull-down coefficient. According to the invention, comprehensive evaluation is carried out on the fragility coefficient, the condensate water coefficient and the surface shrinkage coefficient to obtain the affected index of the cable, and alarm prompt is carried out according to the affected index of the cable, so that the accuracy of cable state detection is effectively improved, and the fire safety is improved.

Description

Technical Field

[0001] The present invention relates to the field of cable detection, and more particularly to a fire-fighting cable detection device. Background Art

[0002] Fire cable detection device is a device specially used to monitor the status of fire cables. It detects the insulation performance, temperature changes and conductor integrity of the cables to timely detect cable faults or abnormalities and prevent fires caused by cable damage. It usually contains temperature sensors, insulation resistance tests and signal processing systems, and triggers an alarm when an abnormality is detected to ensure the reliability and safety of the fire protection system.

[0003] The existing fire cable inspection is to evaluate whether the cable appearance is obviously damaged or aged through visual inspection; then use an insulation resistance tester to detect the insulation performance of the cable; then use a conductor continuity test to check whether the cable is open or short-circuited; finally, combine thermal imaging or temperature sensors to monitor the temperature status of the cable to ensure the safety and reliability of the cable during operation. These steps combined can effectively evaluate the overall health of the fire cable, but this detection method will cause the fire cable to be damaged due to different reasons caused by environmental problems when the insulated cable needs to be used in the cold storage. If the previous detection method and detection parameters are still used, it is impossible to accurately judge the current status of the fire cable, which increases the fire hazard.

[0004] In view of the above problems, the present invention proposes a solution. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides a fire cable detection device to solve the problems existing in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] A fire protection cable detection device, the device comprising:

[0008] A sensor setting module, used to set sensors for detection on the fire protection cables in the cold storage, wherein the sensors include infrared temperature sensors and humidity sensors;

[0009] The embrittlement analysis module is used to collect the embrittlement data of the fire-fighting cable, calculate and analyze the embrittlement coefficient based on the embrittlement data, and transmit the embrittlement coefficient to the cable status assessment module;

[0010] The condensation condition analysis module is used to collect the condensation data of the fire-fighting cable through the sensor set in the sensor setting module, calculate and analyze the condensation water coefficient according to the condensation data, and transmit the condensation water coefficient to the cable status evaluation module;

[0011] The shrinkage analysis module is used to collect the shrinkage data of the fire cable through the sensor set in the sensor setting module. The shrinkage data is the number and time of opening and closing the door of the cold storage during the detection time period. The surface shrinkage coefficient is calculated and analyzed according to the shrinkage data, and the surface shrinkage coefficient is transmitted to the cable status evaluation module;

[0012] The cable status assessment module is used to receive the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient transmitted by the brittleness analysis module, the condensation analysis module and the shrinkage analysis module, and comprehensively evaluate the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient to obtain the cable affected index, and transmit the cable affected index to the alarm prompt module;

[0013] The alarm prompt module is used to issue an alarm prompt based on the cable impact index.

[0014] Preferably, the step of obtaining the brittleness coefficient according to the embrittlement calculation analysis is:

[0015] Get the operating temperature of the cold storage; get the exposure time of the fire-fighting cable at the temperature; get the total usage time of the fire-fighting cable from installation to the current moment;

[0016] The temperature influence factor is calculated according to the working temperature of the cold storage, and its calculation formula is F Te =e -ts×Te , where F Te It is represented as the temperature influence factor, Te is represented as the operating temperature of the cold storage, and ts is represented as the temperature sensitivity index;

[0017] The time impact factor is calculated based on the exposure time and the total use time, and its calculation formula is: where F t Expressed as the time impact factor, t er Expressed as exposure time, t tl Expressed as total usage time;

[0018] The brittleness coefficient is calculated based on the temperature influence factor and the time influence factor, and the calculation formula is EB = F Te ×F t , where EB is the brittleness coefficient, F Te Expressed as temperature influence factor, F t Expressed as time impact factor.

[0019] Preferably, the step of calculating and analyzing the condensation water coefficient according to the condensation data is:

[0020] The fire-fighting cables in the cold storage are evenly divided into n parts, which are recorded as sub-cables. The real-time temperature of the air near each sub-cable is collected using an infrared temperature sensor, and the real-time humidity of the air near each sub-cable is collected using a humidity sensor.

[0021] The relative humidity is calculated based on the humidity data, and the calculation formula is: RH is the relative humidity, e(T) is the actual vapor pressure of water vapor in the air, i.e. the real-time humidity, and e s (T) is expressed as the saturated water vapor pressure at the same temperature;

[0022] The dew point temperature is calculated based on the relative humidity, and the calculation formula is: Where Td represents the dew point temperature, RH represents the relative humidity, and T represents the real-time temperature;

[0023] Compare the real-time humidity of each sub-cable with the dew point temperature, and select the sub-cables whose real-time humidity is lower than the dew point temperature, which are recorded as condensed sub-cables;

[0024] The condensation water degree of all condensation sub-cables is calculated according to the relative humidity, and the condensation water coefficient is obtained by averaging the condensation water degree of all condensation sub-cables.

[0025] Preferably, the step of using an infrared temperature sensor to collect the real-time temperature of the air near each sub-cable is:

[0026] Select an infrared temperature sensor, install the infrared temperature sensor in the air area near each sub-cable, and calibrate the infrared temperature sensor using a reference point with a known temperature;

[0027] The infrared temperature sensor is used to obtain the infrared radiation data of the air near each sub-cable, and the infrared radiation data is converted into a temperature value by the Stefan-Boltzmann law. The calculation formula is T = εσR 4 , where T represents the real-time temperature, ε represents the emissivity of the object, σ represents the Stefan-Boltzmann constant, and σ = 5.67×10 -8 W / m 2 K 4 , R is the infrared radiation data.

[0028] Preferably, the step of calculating the condensation water degree of all condensation sub-cables according to the relative humidity is:

[0029] The absolute humidity is calculated based on the real-time temperature, relative humidity and real-time humidity of the condensation cable. The calculation formula is: Where AH represents absolute humidity, RH represents relative humidity, e(T) represents real-time humidity, and T represents real-time temperature;

[0030] Count the condensation time of the condensation sub-cables and collect the contact surface area between each condensation sub-cable and the air;

[0031] The condensation water coefficient is calculated based on the absolute humidity, condensation time and contact surface area. The calculation formula is Cd=AH×LT×SA, where Cd represents the degree of condensation water, AH represents the absolute humidity, LT represents the condensation time, and SA represents the contact surface area.

[0032] Preferably, the step of calculating and analyzing the surface shrinkage coefficient based on the shrinkage data is:

[0033] Record the number of times the cold storage door is opened and closed during the detection period, and record the duration of each door opening; monitor and record the changes in ambient temperature caused by each door opening and closing through an infrared temperature sensor; monitor and record the changes in ambient humidity caused by each door opening and closing through a humidity sensor;

[0034] For each door opening and closing event, the infrared temperature sensor is used to calculate the cumulative temperature change, and the calculation formula is: Where ΔT total It is expressed as the cumulative temperature change, M is the number of times the cold storage door is opened and closed during the detection period, ΔT i It is expressed as the change in ambient temperature caused by the i-th door switch;

[0035] For each door opening and closing event, the humidity sensor calculates the cumulative change in humidity, and the calculation formula is: Where ΔH total Expressed as the cumulative change in humidity, ΔH i It is expressed as the change in ambient humidity caused by the i-th door switch;

[0036] Taking each door opening and closing time as the weight, the weighted total temperature change is calculated, and the calculation formula is: Where ΔH weighted Expressed as temperature change, t i It is expressed as the duration of the i-th door opening;

[0037] Taking each door opening and closing time as the weight, the weighted total humidity change is calculated, and the calculation formula is: Where ΔH weighted Expressed as temperature change;

[0038] According to the time-weighted temperature and humidity changes, combined with the cable material properties, the surface shrinkage coefficient is calculated. The calculation formula is CN = α × ΔT weighted +β×ΔH weighted , where CN represents the surface shrinkage coefficient, α and β are the sensitivity of temperature and humidity changes to material shrinkage.

[0039] Preferably, the step of comprehensively evaluating the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient to obtain the cable impact index is:

[0040] The cable impact index is calculated by weighted summation of the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient. The calculation formula is AD=a1×EB+a2×CW+a3×CN, where AD represents the cable impact index, EB represents the brittleness coefficient, CW represents the condensation water coefficient, CN represents the surface shrinkage coefficient, and a1, a2, and a3 represent the weight coefficients of the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient.

[0041] Preferably, the step of providing an alarm according to the cable impact index is:

[0042] The cable impact index is compared with the preset threshold. If the cable impact index is less than the preset threshold, it is determined that the current cable is lightly affected and no alarm is issued; if the cable impact index is greater than the preset threshold, it is determined that the current cable is severely affected and an alarm is issued to remind relevant staff to inspect and repair the fire-fighting cable in a timely manner.

[0043] Technical effects and advantages of the present invention:

[0044] A detection sensor is set on the fire-fighting cable in the cold storage to collect the embrittlement data of the fire-fighting cable, and the embrittlement coefficient is calculated and analyzed based on the embrittlement data. The condensation data of the fire-fighting cable is collected by the sensor, and the condensation water coefficient is calculated and analyzed based on the condensation data. The shrinkage data of the fire-fighting cable is collected by the sensor, and the surface shrinkage coefficient is calculated and analyzed based on the shrinkage data. The embrittlement coefficient, condensation water coefficient and surface shrinkage coefficient are comprehensively evaluated to obtain the cable affected index, and an alarm is issued based on the cable affected index, which effectively improves the accuracy of cable status detection and improves fire safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is the overall flow chart of the present invention. DETAILED DESCRIPTION

[0046] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are only examples. The fire cable detection device involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0047] The present invention provides a fire protection cable detection device, the device comprising:

[0048] A sensor setting module, used to set sensors for detection on the fire protection cables in the cold storage, wherein the sensors include infrared temperature sensors and humidity sensors;

[0049] The infrared temperature sensor is a device that measures the temperature of an object by detecting the infrared radiation emitted by it. It uses an infrared detector to receive the infrared spectrum radiated by the object and converts these signals into electrical signals to determine the surface temperature of the object. The advantage of the infrared temperature sensor is that it can measure temperature without contacting the target, and is suitable for temperature monitoring in high temperature, long distance or dangerous environments.

[0050] Infrared temperature sensors can measure temperature by detecting infrared radiation emitted from the surface of an object without direct contact with the object. This makes it possible to quickly and easily measure cable temperature, especially in cold storage where the ambient temperature is extremely low and it is not suitable for people or equipment to be exposed for a long time. Non-contact measurement avoids interference and potential safety risks. Infrared temperature sensors have extremely fast response speeds and can obtain temperature data in real time. They are suitable for monitoring situations where temperature changes rapidly and provide immediate feedback, while contact temperature sensors have a relatively slow response speed because they need to wait for the sensor itself to reach thermal equilibrium with the cable surface to obtain accurate readings. Infrared temperature sensors can measure cable sections that are difficult to directly touch, especially cables installed in narrow or high places. Operators can measure temperature from a distance without physically touching or moving the cable, while contact temperature sensors are difficult to install and measure for cables that are more hidden or difficult to reach, and may require additional tools or adjustments. The low temperature environment in the cold storage has less impact on the performance of infrared sensors because they do not need to be in direct contact with the cold surface, which can reduce the impact of the cold storage environment on the sensor and the measurement results.

[0051] The humidity sensor is a device used to measure the moisture content in the air. It senses the water vapor in the air and converts it into an electrical signal, thereby providing a relative humidity or absolute humidity value. Humidity sensors are widely used in fields such as meteorological monitoring, environmental control, and industrial processes to help regulate and maintain appropriate humidity levels.

[0052] The embrittlement analysis module is used to collect the embrittlement data of the fire-fighting cable, calculate and analyze the embrittlement coefficient based on the embrittlement data, and transmit the embrittlement coefficient to the cable status assessment module;

[0053] In this embodiment, it should be specifically explained that the step of obtaining the brittleness coefficient according to the brittleness calculation analysis is as follows:

[0054] Get the working temperature of the cold storage, which is usually a negative temperature, for example: -20℃;

[0055] Obtain the exposure time of the fire protection cable at the temperature, which is usually the continuous working time of the cold storage, and record it as the exposure time;

[0056] Obtain the total usage time of the fire protection cable from installation to the current moment, which is recorded as the total usage time;

[0057] The temperature influence factor is calculated according to the working temperature of the cold storage, and its calculation formula is F Te =e -ts×Te This formula shows that the lower the temperature, the smaller the temperature influence factor, which means that the material is more likely to become brittle, where F Te It is represented as the temperature influence factor, Te is represented as the working temperature of the cold storage, and ts is represented as the temperature sensitivity index, which is obtained from the detailed material property data provided by the corresponding material manufacturer of the cable;

[0058] The temperature sensitivity index is a parameter that characterizes the degree of response of a material to temperature changes. It reflects the speed at which the performance of a material changes under different temperature conditions. This index describes the acceleration of processes such as aging, embrittlement, and performance degradation of a material when the temperature rises or falls. The temperature sensitivity index of a material is usually used to predict the service life and reliability of a material under extreme or long-term temperature exposure, especially in materials that are susceptible to temperature, such as cables, rubber, and plastics. The temperature sensitivity index can help evaluate the durability and safety of the material.

[0059] The time impact factor is calculated based on the exposure time and total use time of the cable. The calculation formula is: It indicates the proportion of exposure time in the total use time. A higher proportion means a greater risk of embrittlement. t Expressed as the time impact factor, t er Expressed as exposure time, t tl Expressed as total usage time;

[0060] The brittleness coefficient is calculated based on the temperature influence factor and the time influence factor, and the calculation formula is EB = F Te ×F t The brittleness coefficient indicates the possibility of the cable becoming brittle in a cold storage environment. The larger the value, the easier it is for the cable to become brittle. EB is the brittleness coefficient, and F Te Expressed as temperature influence factor, F t Expressed as time impact factor.

[0061] The condensation condition analysis module is used to collect the condensation data of the fire-fighting cable through the sensor set in the sensor setting module, calculate and analyze the condensation water coefficient based on the condensation data, and transmit the condensation water coefficient to the cable status evaluation module;

[0062] In this embodiment, it should be specifically explained that the step of calculating and analyzing the condensation water coefficient according to the condensation data is as follows:

[0063] The fire-fighting cables in the cold storage are evenly divided into n parts, which are recorded as sub-cables. The real-time temperature of the air near each sub-cable is collected using an infrared temperature sensor, and the real-time humidity of the air near each sub-cable is collected using a humidity sensor.

[0064] The relative humidity is calculated based on the humidity data, and the calculation formula is: RH is the relative humidity, e(T) is the actual vapor pressure of water vapor in the air, i.e. the real-time humidity, and e s (T) is expressed as the saturated water vapor pressure (Pa) at the same temperature, which can be obtained by looking up a table or calculating a formula;

[0065] The dew point temperature is calculated based on the relative humidity, and the calculation formula is: Where Td represents the dew point temperature, RH represents the relative humidity, and T represents the real-time temperature;

[0066] Compare the real-time humidity of each sub-cable with the dew point temperature, and select the sub-cables whose real-time humidity is lower than the dew point temperature, which are recorded as condensed sub-cables. If the actual ambient temperature is close to or lower than the dew point temperature, then a higher absolute humidity will lead to more condensed water formation;

[0067] When the actual ambient temperature is close to or below the dew point temperature, water vapor in the air will more easily condense into liquid water on the cold surface, that is, condensate. At this time, higher absolute humidity means that there is more water vapor in the air, which is more likely to condense into water droplets when the temperature drops below the dew point. Therefore, under high humidity conditions, as the ambient temperature approaches or drops below the dew point temperature, the amount of condensate formed will increase significantly. This situation is particularly evident in areas such as cold storage, pipelines, and equipment surfaces, which may lead to equipment corrosion, degradation of insulation performance, and potential electrical failures. Therefore, it becomes crucial to manage and control the humidity and temperature of the environment, especially when it is close to the dew point temperature, to prevent excessive condensate from causing damage to equipment and materials.

[0068] The condensation water degree of all condensation sub-cables is calculated according to the relative humidity, and the condensation water coefficient is obtained by averaging the condensation water degrees of all condensation sub-cables.

[0069] In this embodiment, it should be specifically explained that the steps of using the infrared temperature sensor to collect the real-time temperature of the air near each sub-cable are:

[0070] Select a suitable infrared temperature sensor and ensure that it has the following characteristics: it can cover the expected temperature range, meet the project's requirements for temperature measurement accuracy, respond quickly, and be suitable for real-time monitoring. The infrared sensor's field of view should be small enough to accurately measure the air temperature near the sub-cable without being affected by other objects;

[0071] Install the infrared temperature sensor in the air area near each sub-cable, ensuring that the sensor's field of view covers only that area and does not aim directly at the cable itself or other surfaces to avoid reflection or radiation interference. Calibrate the infrared temperature sensor using a reference point of known temperature or a black body radiation source to ensure its accuracy.

[0072] The infrared radiation data of the air near each sub-cable is obtained through the sensor and converted into a temperature value. The processing unit inside the sensor uses the Stefan-Boltzmann Law to calculate the temperature;

[0073] The Stefan-Boltzmann law is a basic physical law in the field of thermal radiation. It describes the relationship between the total radiation energy emitted by a black body (an ideal object that theoretically completely absorbs all incident radiation and emits radiation at all wavelengths with maximum efficiency) and its temperature. The law states that the total radiation power per unit area of ​​a black body (i.e., the total energy emitted from a unit area per unit time) is proportional to the fourth power of the absolute temperature of its surface.

[0074] The sensor calculates the temperature using the Stefan-Boltzmann law based on the relationship between the infrared radiation power and the radiation temperature emitted by the object. The calculation formula is T = εσR 4 , where T represents the real-time temperature, ε represents the emissivity of the object (depending on the surface characteristics of the object, air is usually approximately 1), and σ represents the Stefan-Boltzmann constant, σ = 5.67×10 -8 W / m 2 K 4 , R is the infrared radiation data; the infrared temperature sensor converts the received infrared radiation power value into temperature and outputs the result. Although the infrared emissivity of air is low, the sensor will make adjustments considering its characteristics.

[0075] In this embodiment, it should be specifically explained that the step of calculating the condensation water degree of all condensation sub-cables according to the relative humidity is:

[0076] The absolute humidity is calculated based on the real-time temperature, relative humidity and real-time humidity of the condensation cable. The calculation formula is: Where AH represents absolute humidity, RH represents relative humidity, e(T) represents real-time humidity, T represents real-time temperature, and 273.15 is an adjustment constant that reflects the relationship between temperature and saturated water vapor pressure. This constant is derived from experimental data fitting and is mainly used to ensure the accuracy of the formula at different temperatures.

[0077] Count the condensation time of the condensation sub-cables and calculate the contact surface area of ​​each condensation sub-cable with the air. The condensation time of the condensation sub-cable refers to the time required from the environmental conditions (such as temperature and humidity) reaching or falling below the dew point temperature to the time when the water vapor in the air condenses into water droplets on the cable surface or surrounding area. This period of time reflects the length of time it takes for condensed water to begin to appear on the cable surface under specific environmental conditions. The shorter the condensation time, the faster the condensed water forms, which may increase the humidity on the cable surface and the accumulation of condensed water, thereby affecting the insulation performance and safety of the cable;

[0078] The condensation water coefficient is calculated based on the absolute humidity, condensation time and contact surface area. The calculation formula is Cd=AH×LT×SA, where Cd represents the degree of condensation water, AH represents the absolute humidity, LT represents the condensation time, and SA represents the contact surface area.

[0079] The shrinkage analysis module is used to collect the shrinkage data of the fire cable through the sensor set in the sensor setting module, wherein the shrinkage data is the number and time of opening and closing the door of the cold storage during the detection time period, and calculate and analyze the surface shrinkage coefficient based on the shrinkage data, and transmit the surface shrinkage coefficient to the cable status evaluation module;

[0080] In this embodiment, it should be specifically explained that the step of calculating and analyzing the surface shrinkage coefficient based on the shrinkage data is as follows:

[0081] Record the number of times the cold storage door is opened and closed during the detection period, and record the duration of each door opening, which may be a collection of multiple time values; monitor and record the ambient temperature changes caused by each door opening and closing through an infrared temperature sensor; monitor and record the ambient humidity changes caused by each door opening and closing through a humidity sensor;

[0082] For each door opening and closing event, the infrared temperature sensor is used to calculate the cumulative temperature change, and the calculation formula is: Where ΔT total It is expressed as the cumulative temperature change, M is the number of times the cold storage door is opened and closed during the detection period, ΔT i It is expressed as the change in ambient temperature caused by the i-th door switch;

[0083] For each door opening and closing event, the humidity sensor calculates the cumulative change in humidity, and the calculation formula is: Where ΔH totlaIt is expressed as the cumulative change of humidity, M is the number of times the cold storage door is opened and closed during the detection period, ΔH i It is expressed as the change in ambient humidity caused by the i-th door switch;

[0084] Taking each door opening and closing time as the weight, the weighted total temperature change is calculated, and the calculation formula is: Where ΔT weighted It is expressed as temperature change, M is the number of times the cold storage door is opened and closed during the detection period, ΔT i It is expressed as the change in ambient temperature caused by the i-th door switch, t i It is expressed as the duration of the i-th door opening;

[0085] Taking each door opening and closing time as the weight, the weighted total humidity change is calculated, and the calculation formula is: Where ΔH weighted It is expressed as temperature change, M is the number of times the cold storage door is opened and closed during the detection period, ΔH i It is expressed as the change in ambient humidity caused by the i-th door switch;

[0086] According to the time-weighted temperature and humidity changes, combined with the cable material properties, the surface shrinkage coefficient is calculated. The calculation formula is CN = α × ΔT weighted +β×ΔH weighted , where CN is the surface shrinkage coefficient, ΔT weighted Expressed as temperature change, ΔH weighted It is expressed as temperature change, α and β are the sensitivity of temperature change and humidity change to the shrinkage of the material, and the α and β can be obtained through the physical property data of the cable material provided by the fire cable manufacturer.

[0087] The cable material properties refer to the sensitivity and reaction characteristics of the cable's outer insulation layer and internal materials to changes in ambient temperature and humidity. These properties mainly include the material's thermal expansion coefficient and hygroscopicity. The thermal expansion coefficient describes the material's ability to change volume or length with temperature changes, while hygroscopicity describes the material's ability to expand or deform after absorbing moisture. Combining these properties, the degree of stress or deformation generated by the cable material under temperature and humidity fluctuations can be calculated, thereby deriving the surface tension coefficient.

[0088] The cable status assessment module is used to receive the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient transmitted by the brittleness analysis module, the condensation analysis module and the shrinkage analysis module, and comprehensively evaluate the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient to obtain the cable affected index, and transmit the cable affected index to the alarm prompt module;

[0089] In this embodiment, it should be specifically explained that the steps of comprehensively evaluating the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient to obtain the cable impact index are:

[0090] The cable impact index is calculated by weighted summation of the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient. The calculation formula is AD = a1 × EN + a2 × CW + a3 × CN, where AD represents the cable impact index and EB represents the brittleness coefficient. As the brittleness coefficient of the cable material increases, that is, the cable material tends to become brittle under environmental factors such as low temperature, aging or chemical exposure, the risk of reduced performance, physical structure damage or functional failure of the cable under these conditions will also increase significantly. When the brittleness coefficient is high, the cable is more likely to break, crack or fail in insulation in harsh environments, resulting in a greater degree of overall impact, thereby reducing the reliability and safety of the cable. CW represents the condensation water coefficient. When the condensation water coefficient of the cable surface or surrounding environment increases, that is, the tendency of condensation water to form and accumulate on the cable surface increases, the risk of damage or performance degradation of the cable under these humid conditions will also increase significantly. As the condensation coefficient increases, the cable material may be exposed to moisture more frequently, resulting in reduced insulation performance, more electrical failures, and increased likelihood of corrosion and mechanical damage. CN is represented by the surface shrinkage coefficient. When the shrinkage coefficient of the cable surface increases, that is, the degree of tensile or compressive deformation of the cable under external force increases, the risk of damage or performance degradation of the cable under such mechanical stress conditions also increases. As the surface shrinkage coefficient increases, the cable may be more susceptible to structural changes during stretching, bending or compression, such as cracking of the insulation layer, breakage of the conductor or damage to the sheath. These changes will cause the electrical performance of the cable to deteriorate and the mechanical strength to weaken, thereby increasing the risk of short circuit, overheating or other failures. a1, a2, and a3 are represented as weight coefficients of the embrittlement coefficient, condensation coefficient, and surface shrinkage coefficient. The specific values ​​of a1, a2, and a3 are determined by professionals based on actual conditions, and a1+a2+a3=1. For example, a1, a2, and a3 can be 0.4, 0.4, and 0.2.

[0091] The alarm prompt module is used to issue an alarm prompt based on the cable impact index, reminding relevant staff to inspect and repair the fire-fighting cable in time to ensure its normal operation.

[0092] In this embodiment, it should be specifically explained that the steps of providing an alarm prompt according to the cable impact index are:

[0093] The cable impact index is compared with the preset threshold. If the cable impact index is less than the preset threshold, it is determined that the current cable is slightly affected and no alarm is issued; if the cable impact index is greater than the preset threshold, it is determined that the current cable is severely affected and an alarm is issued to remind relevant staff to inspect the fire-fighting cable in time to ensure its normal operation.

[0094] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0095] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A fire cable detection device, characterized in that: The device comprises: A sensor setting module, used to set sensors for detection on the fire protection cables in the cold storage, wherein the sensors include infrared temperature sensors and humidity sensors; The embrittlement analysis module is used to collect the embrittlement data of the fire-fighting cable, calculate and analyze the embrittlement coefficient based on the embrittlement data, and transmit the embrittlement coefficient to the cable status assessment module; The condensation condition analysis module is used to collect the condensation data of the fire-fighting cable through the sensor set in the sensor setting module, calculate and analyze the condensation water coefficient according to the condensation data, and transmit the condensation water coefficient to the cable status evaluation module; The shrinkage analysis module is used to collect the shrinkage data of the fire cable through the sensor set in the sensor setting module. The shrinkage data is the number and time of opening and closing the door of the cold storage during the detection time period. The surface shrinkage coefficient is calculated and analyzed according to the shrinkage data, and the surface shrinkage coefficient is transmitted to the cable status evaluation module; The cable status assessment module is used to receive the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient transmitted by the brittleness analysis module, the condensation analysis module and the shrinkage analysis module, and comprehensively evaluate the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient to obtain the cable affected index, and transmit the cable affected index to the alarm prompt module; The alarm prompt module is used to issue an alarm prompt based on the cable impact index.

2. A fire cable detection device according to claim 1, characterized in that: The steps of obtaining the brittleness coefficient according to the embrittlement calculation analysis are as follows: Get the operating temperature of the cold storage; get the exposure time of the fire-fighting cable at the temperature; get the total usage time of the fire-fighting cable from installation to the current moment; The temperature influence factor is calculated according to the working temperature of the cold storage, and its calculation formula is F Te =e -ts×Te , where F Te It is represented as the temperature influence factor, Te is represented as the operating temperature of the cold storage, and ts is represented as the temperature sensitivity index; The time impact factor is calculated based on the exposure time and the total use time, and its calculation formula is: Among them, F t Expressed as the time impact factor, t er Expressed as exposure time, t tl Expressed as total usage time; The brittleness coefficient is calculated based on the temperature influence factor and the time influence factor, and the calculation formula is EB = F Te ×F t , where EB is the brittleness factor, F Te Expressed as temperature influence factor, F t Expressed as time impact factor.

3. A fire cable detection device according to claim 1, characterized in that: The steps of calculating and analyzing the condensation water coefficient based on the condensation data are as follows: The fire-fighting cables in the cold storage are evenly divided into n parts, which are recorded as sub-cables. The real-time temperature of the air near each sub-cable is collected using an infrared temperature sensor, and the real-time humidity of the air near each sub-cable is collected using a humidity sensor. The relative humidity is calculated based on the humidity data, and the calculation formula is: RH is the relative humidity, e(T) is the actual vapor pressure of water vapor in the air, i.e. the real-time humidity, and e s (T) is expressed as the saturated water vapor pressure at the same temperature; The dew point temperature is calculated based on the relative humidity, and the calculation formula is: Where Td represents the dew point temperature, RH represents the relative humidity, and T represents the real-time temperature; Compare the real-time humidity of each sub-cable with the dew point temperature, and select the sub-cables whose real-time humidity is lower than the dew point temperature, which are recorded as condensed sub-cables; The condensation water degree of all condensation sub-cables is calculated according to the relative humidity, and the condensation water coefficient is obtained by averaging the condensation water degree of all condensation sub-cables.

4. A fire cable detection device according to claim 3, characterized in that: The steps of using the infrared temperature sensor to collect the real-time temperature of the air near each sub-cable are: Select an infrared temperature sensor, install the infrared temperature sensor in the air area near each sub-cable, and calibrate the infrared temperature sensor using a reference point with a known temperature; The infrared temperature sensor is used to obtain the infrared radiation data of the air near each sub-cable, and the infrared radiation data is converted into a temperature value by the Stefan-Boltzmann law. The calculation formula is T = εσR 4 , where T represents the real-time temperature, ε represents the emissivity of the object, σ represents the Stefan-Boltzmann constant, and σ = 5.67×10 -8 W / m 2 K 4 , R is the infrared radiation data.

5. A fire cable detection device according to claim 3, characterized in that: The steps for calculating the condensation water level of all condensation sub-cables according to the relative humidity are as follows: The absolute humidity is calculated based on the real-time temperature, relative humidity and real-time humidity of the condensation cable. The calculation formula is: Where AH represents absolute humidity, RH represents relative humidity, e(T) represents real-time humidity, and T represents real-time temperature; Count the condensation time of the condensation sub-cables and collect the contact surface area between each condensation sub-cable and the air; The condensation water coefficient is calculated based on the absolute humidity, condensation time and contact surface area. The calculation formula is Cd=AH×LT×SA, where Cd represents the degree of condensation water, AH represents the absolute humidity, LT represents the condensation time, and SA represents the contact surface area.

6. A fire cable detection device according to claim 1, characterized in that: The step of calculating and analyzing the surface shrinkage coefficient based on the shrinkage data is as follows: Record the number of times the cold storage door is opened and closed during the detection period, and record the duration of each door opening; The infrared temperature sensor monitors and records the ambient temperature changes caused by each door opening and closing; the humidity sensor monitors and records the ambient humidity changes caused by each door opening and closing; For each door opening and closing event, the infrared temperature sensor is used to calculate the cumulative temperature change, and the calculation formula is: Where ΔT total It is expressed as the cumulative temperature change, M is the number of times the cold storage door is opened and closed during the detection period, ΔT i It is expressed as the change in ambient temperature caused by the i-th door switch; For each door opening and closing event, the humidity sensor calculates the cumulative change in humidity, and the calculation formula is: Where ΔH total Expressed as the cumulative change in humidity, ΔH i It is expressed as the change in ambient humidity caused by the i-th door switch; Taking each door opening and closing time as the weight, the weighted total temperature change is calculated, and the calculation formula is: Where ΔT weighted Expressed as temperature change, t i It is expressed as the duration of the i-th door opening; Taking each door opening and closing time as the weight, the weighted total humidity change is calculated, and the calculation formula is: Where ΔH weighted Expressed as temperature change; According to the time-weighted temperature and humidity changes, combined with the cable material properties, the surface shrinkage coefficient is calculated. The calculation formula is CN = α × ΔT weighted +β×ΔH weighted , where CN represents the surface shrinkage coefficient, α and β are the sensitivity of temperature and humidity changes to material shrinkage.

7. A fire cable detection device according to claim 1, characterized in that: The steps of comprehensively evaluating the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient to obtain the cable impact index are as follows: The cable impact index is calculated by weighted summation of the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient. The calculation formula is AD=a1×EB+a2×CW+a3×CN, where AD represents the cable impact index, EB represents the brittleness coefficient, CW represents the condensation water coefficient, CN represents the surface shrinkage coefficient, and a1, α2, and a3 represent the weight coefficients of the brittleness coefficient, condensation water coefficient and surface shrinkage coefficient.

8. A fire cable detection device according to claim 1, characterized in that: The steps of providing an alarm according to the cable impact index are as follows: The cable impact index is compared with the preset threshold value. If the cable impact index is less than the preset threshold value, it is determined that the current cable is slightly affected, and no alarm prompt is issued; If the cable impact index is greater than the preset threshold, it is determined that the current cable is severely affected, and an alarm is issued to remind relevant staff to inspect and repair the fire-fighting cable in a timely manner.

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