CN117746567B - Energy storage power station composite fire detection system and method - Google Patents
Energy storage power station composite fire detection system and method Download PDFInfo
- Publication number
- CN117746567B CN117746567B CN202410186628.9A CN202410186628A CN117746567B CN 117746567 B CN117746567 B CN 117746567B CN 202410186628 A CN202410186628 A CN 202410186628A CN 117746567 B CN117746567 B CN 117746567B
- Authority
- CN
- China
- Prior art keywords
- fire
- smoke
- energy storage
- smoke concentration
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000004146 energy storage Methods 0.000 title claims abstract description 116
- 238000001514 detection method Methods 0.000 title claims abstract description 19
- 239000002131 composite material Substances 0.000 title claims abstract description 15
- 238000000034 method Methods 0.000 title claims abstract description 10
- 239000000779 smoke Substances 0.000 claims abstract description 227
- 238000012544 monitoring process Methods 0.000 claims abstract description 46
- 230000002159 abnormal effect Effects 0.000 claims description 66
- 238000009792 diffusion process Methods 0.000 claims description 16
- 238000011156 evaluation Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 3
- 238000009434 installation Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 3
- 230000035945 sensitivity Effects 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 description 4
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 3
- 238000012983 electrochemical energy storage Methods 0.000 description 3
- 229910001416 lithium ion Inorganic materials 0.000 description 3
- 239000002253 acid Substances 0.000 description 2
- 230000015572 biosynthetic process Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- UKACHOXRXFQJFN-UHFFFAOYSA-N heptafluoropropane Chemical compound FC(F)C(F)(F)C(F)(F)F UKACHOXRXFQJFN-UHFFFAOYSA-N 0.000 description 2
- 238000003786 synthesis reaction Methods 0.000 description 2
- WHXSMMKQMYFTQS-UHFFFAOYSA-N Lithium Chemical compound [Li] WHXSMMKQMYFTQS-UHFFFAOYSA-N 0.000 description 1
- NPYPAHLBTDXSSS-UHFFFAOYSA-N Potassium ion Chemical compound [K+] NPYPAHLBTDXSSS-UHFFFAOYSA-N 0.000 description 1
- FKNQFGJONOIPTF-UHFFFAOYSA-N Sodium cation Chemical compound [Na+] FKNQFGJONOIPTF-UHFFFAOYSA-N 0.000 description 1
- PTFCDOFLOPIGGS-UHFFFAOYSA-N Zinc dication Chemical compound [Zn+2] PTFCDOFLOPIGGS-UHFFFAOYSA-N 0.000 description 1
- 239000000443 aerosol Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 229910052744 lithium Inorganic materials 0.000 description 1
- 229910001414 potassium ion Inorganic materials 0.000 description 1
- 230000002265 prevention Effects 0.000 description 1
- 229910001415 sodium ion Inorganic materials 0.000 description 1
Landscapes
- Fire Alarms (AREA)
Abstract
The invention discloses a composite fire detection system and a composite fire detection method for an energy storage power station. The control method of the fire detection system comprises the following steps: establishing a three-dimensional coordinate system 0-xyz for fire detection in a three-dimensional model of the energy storage power station; mounting a smoke sensor and a temperature sensor, and mounting an electrical fire detector on an electrical system; the fire grade when the fire disaster occurs is evaluated according to the smoke concentration value, and the overflow point of the smoke in the energy storage unit is obtained; and acquiring the position of the fire disaster point in the energy storage unit by using the temperature values acquired by the temperature sensors around the overflow point. The fire disaster phenomenon and the fire disaster hidden danger of the energy storage battery can be found in time, the sensitivity, the reliability and the real-time performance of fire disaster monitoring are guaranteed, and the safe operation level of the energy storage power station is greatly improved.
Description
Technical Field
The invention relates to the field of fire monitoring of energy storage power stations, in particular to a composite fire detection system and method of an energy storage power station.
Background
The electrochemical energy storage power station charges and discharges the anode and the cathode of the battery through chemical reaction to realize energy conversion. The traditional electrochemical energy storage technology is represented by a lead-acid battery, and is gradually replaced by a lithium ion battery, a lead-carbon battery and a flow battery due to the fact that the lead-acid battery has great harm to the environment. At present, commercial lithium ion batteries have failed to fully meet the performance, cost, and other requirements required for energy storage. In order to meet the application requirements of mobile energy storage and large and medium-sized energy storage, electrochemical energy storage technology is gradually expanding from lithium ion batteries to more technical routes, such as solid-state lithium batteries, sodium ion batteries, potassium ion batteries, zinc ion batteries and the like.
The potential safety hazards of the energy storage power station are fires caused by electricity, such as transformer fires, cable fires and the like which can occur in the conventional power station, and aiming at the fires, the conventional fire alarm system and the heptafluoropropane fire extinguisher can effectively extinguish the fires; the other type is fire caused by batteries in an energy storage system, has large harm and is uncontrollable once the fire starts, and the fire is mainly extinguished by an automatic fire extinguishing mode, including a heptafluoropropane automatic fire extinguishing system, aerosol and the like.
Along with the development of intelligent fire monitoring technology, an intelligent fire monitoring system is installed in the energy storage power station, so that the prevention and control of the fire of the energy storage power station can be effectively facilitated. However, the fire disaster intelligent monitoring technology in the prior art can only monitor one of an electric fire disaster or a battery fire disaster, cannot realize accurate positioning and monitoring aiming at multiple and complex fire disaster conditions, has poor positioning precision in the monitoring process, and cannot determine the fire disaster position in the energy storage unit.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a composite fire detection system and method for an energy storage power station, which can effectively monitor composite fire and fire at the position and locate the fire point.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
The energy storage power station comprises a plurality of energy storage units, wherein the energy storage units are internally formed by a plurality of energy storage battery packs, and the energy storage units comprise a smoke monitoring system, a battery fire monitoring system, an electric fire monitoring system, an alarm system and a controller;
The smoke monitoring system comprises a first smoke system and a second smoke system, wherein the first smoke system comprises smoke sensors uniformly arranged in gaps between the energy storage units, and the second smoke system comprises a plurality of smoke sensors uniformly arranged in a set area above the energy storage power station;
The battery fire monitoring system comprises a plurality of temperature sensors which are uniformly arranged in the energy storage battery pack;
The electrical fire monitoring system comprises a plurality of electrical fire detectors arranged in an electrical system of the energy storage power station;
the smoke monitoring system, the battery fire monitoring system, the electric fire monitoring system and the alarm system are all in communication connection with the controller.
The control method of the energy storage power station composite fire detection system comprises the following steps:
S1: extracting a three-dimensional model of an energy storage power station, establishing a three-dimensional coordinate system 0-xyz for fire detection in the three-dimensional model, and uniformly arranging mounting points of smoke sensors and mounting points of temperature sensors in an energy storage battery pack in a space of the three-dimensional model;
S2: in the energy storage power station, a smoke sensor and a temperature sensor are installed at corresponding positions of installation points of the smoke sensor and the temperature sensor, and an electric fire detector is installed on an electric system;
S3: acquiring coordinates of each smoke sensor and each temperature sensor according to a three-dimensional coordinate system 0-xyz, and numbering each smoke sensor and each temperature sensor in sequence, wherein the coordinates of each smoke sensor are as follows The coordinates of the temperature sensor are/>N is the number of the smoke sensor, and m is the number of the temperature sensor;
s4: the smoke sensor collects smoke concentration values once every set time length, evaluates fire grades when fire occurs according to the smoke concentration values, and obtains overflow points of smoke in the energy storage unit;
S5: and acquiring the position of a fire point in the energy storage unit by using the temperature values acquired by the temperature sensors around the overflow point, generating a corresponding fire signal of the energy storage battery pack or a fire signal of the electrical system, transmitting the fire signal and the fire level to a fire monitoring center of the energy storage power station, and marking the position of the fire point.
Further, step S4 includes:
S41: the smoke sensor acquires smoke concentration values once every set time length, acquires time labels corresponding to the smoke concentration values, and acquires smoke concentration values Y which are the same as smoke concentration conventional values in corresponding time periods Performing difference to obtain smoke concentration fluctuation value/>：/>；
S42: fluctuation value of smoke concentrationAnd smoke concentration fluctuation threshold value/>Comparing; if/>＞If the smoke concentration at the position is determined to be too high, the smoke concentration value is taken as an abnormal smoke concentration value/>; If/>≤Judging that the smoke concentration fluctuation at the position is normal;
S43: first acquisition of abnormal smoke concentration values from a smoke monitoring system Initially, all abnormal smoke concentration values are entered into an abnormal smoke concentration dataset/>In smoke concentration data set/>The abnormal smoke concentration value in (a) is/>，/>J is the number of the abnormal smoke concentration value;
S44: in smoke concentration data sets Sequentially sequencing all abnormal smoke concentration values according to the sequence of the time labels;
If it is Abnormal smoke concentration value/>Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
If it is Respectively acquiring and collecting abnormal smoke concentration values/>、/>And/>Coordinates of a smoke sensor of (a)、/>And/>；
S45: respectively calculating coordinatesAnd/>Distance d 1, coordinates/>And (3) withDistance d 2 of (a);
；
；
S46: comparing the size of the distance d 1、d2:
If d 1＞d2, collecting abnormal smoke concentration value Is more effective than acquiring abnormal smoke concentration value/>Is closer to the fire point, will have an abnormal smoke concentration value/>Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
If d 1≤d2, collecting abnormal smoke concentration value Is more effective than acquiring abnormal smoke concentration value/>Is closer to the fire point, will have an abnormal smoke concentration value/>Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
S47: smoke concentration data set After the ordering of the abnormal smoke concentration values in the smoke concentration data set is completed, a smoke concentration data set is obtained；
S48: calculated atThe rate of diffusion v 1 of smoke generated by a fire over time, and the rate of diffusion v 2 of smoke spread over distance:
；
Wherein D is the concentration value of the collected abnormal smoke Is used for acquiring abnormal smoke concentration value/>Is a distance between smoke sensors;
S49: calculating an evaluation coefficient K of the fire state according to the diffusion rate v 1、v2:
；
Wherein k 1、k2 is the influence coefficient of the diffusion rate of the smoke along with time and distance on the fire state, V is the wind speed when the fire happens, and k 3 is the influence coefficient of the wind speed on the diffusion of the smoke;
S410: setting evaluation thresholds K 1 and K 2,K2＞K1 of fire conditions;
when K is larger than K 2, judging that the fire is at a first level;
When K 1＜K≤K2 is reached, judging the fire grade is second grade;
When K 1 is more than or equal to K, judging that the fire is three-level;
S411: abnormal smoke concentration values acquired according to the first time t 1 and the second time t 2 Coordinates of the corresponding smoke sensor/>、/>Coordinates/>、/>The points are connected and oriented to the coordinates/>And (3) forming a plurality of extension lines, wherein the extension lines intersect with the area where the nearest energy storage unit is located, and the intersection point of the plurality of extension lines on the nearest energy storage unit is used as an overflow point of smoke generated by fire in the energy storage unit.
Further, step S5 includes:
s51: acquiring coordinates of overflow points in a three-dimensional coordinate system 0-xyz Calculating the coordinate/>, where the overflow point and the ambient temperature sensor are locatedDistance L of (2):
；
S52: screening out the products with the distance L less than or equal to As the temperature sensor nearest to the overflow point, and acquiring the temperature value T acquired by the nearest temperature sensor in a set period, and calculating the average value/>，/>Is the distance between two adjacent temperature sensors;
；
wherein, For the ith temperature value acquired in the set period of time,/>The temperature value is the i-1 th temperature value;
s53: determining average value of temperature fluctuation Whether or not it is greater than the temperature fluctuation threshold/>：
If it is≥/>Then judge that the radius is/>, taking the overflow point as the centerIs a fire center area;
If it is ＜/>Continuing to expand the range of searching for the fire center, and executing the step S54;
s54: screening out the products with the distance L less than or equal to Temperature sensor around overflow point and acquiring radius around overflow point≤r≤/>Temperature fluctuation average value/>, of temperature values acquired by a temperature sensor in a set period of time, within a circular ring range；
；
Wherein,For the o temperature value acquired in the set period of time,/>The o-1 temperature value is acquired;
S55: determining average value of temperature fluctuation Whether or not it is greater than the temperature fluctuation threshold/>：
If it is≥/>Judging that the fire center is centered on the overflow point and the radius is at/>≤r≤/>Is within the circular range of (2);
If it is ≥/>Continuing to expand the range of searching for the fire center, returning to step S54, and setting the radius at/>, with the overflow point as the center of the circle≤r≤/>Searching for a fire center within the circular ring range;
S56: extracting a temperature sensor with a temperature value T being more than or equal to T Threshold value in the range of the fire center after searching the range of the fire center, extracting the coordinate of the temperature sensor in a three-dimensional coordinate system 0-xyz as a fire point coordinate, and marking in the three-dimensional coordinate system 0-xyz;
S57: if the temperature sensor with the acquired temperature value T being more than or equal to T Threshold value is not detected in the battery fire monitoring system in the energy storage unit, acquiring signals of the electric fire detector, judging whether the electric system in the energy storage unit monitors fire signals, generating corresponding fire signals of the energy storage battery pack or the electric system, transmitting the fire signals to a fire monitoring center of the energy storage power station together with fire grades, and marking the position of a fire point.
The beneficial effects of the invention are as follows: the invention provides a composite fire monitoring system capable of realizing multiple parts and synthesis in an energy storage power station, smoke sensors arranged in the energy storage power station monitor smoke released in an energy storage unit, smoke overflow points of the energy storage unit are obtained by using smoke concentration values collected by the smoke sensors, the range of fire points is judged by combining the smoke overflow points and then passing through the surrounding collected temperature values, the fire points are further obtained, and the fire grade can be estimated. The fire disaster phenomenon and the fire disaster hidden danger of the energy storage battery can be found in time, the sensitivity, the reliability and the real-time performance of fire disaster monitoring are guaranteed, and the safe operation level of the energy storage power station is greatly improved.
Drawings
Fig. 1 is a schematic layout of an energy storage plant.
Fig. 2 is a schematic diagram of the layout of the smoke sensor and the temperature sensor around the energy storage unit.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and all the inventions which make use of the inventive concept are protected by the spirit and scope of the present invention as defined and defined in the appended claims to those skilled in the art.
An energy storage power station composite fire detection system comprises a plurality of energy storage units, wherein the energy storage units in the energy storage power station are generally energy storage battery bins, the energy storage units are formed by a plurality of energy storage battery packs, the energy storage battery packs are generally battery clusters, and a plurality of battery clusters are contained in one energy storage battery bin. The fire detection system comprises a smoke monitoring system, a battery fire monitoring system, an electric fire monitoring system, an alarm system and a controller.
The smoke monitoring system comprises a first smoke system and a second smoke system, wherein the first smoke system comprises smoke sensors uniformly arranged in gaps between the energy storage units, the first smoke system is established in the gaps between the energy storage battery bins and used for monitoring smoke overflowing from the sides of the energy storage battery bins, and the second smoke system comprises a plurality of smoke sensors uniformly arranged in a set area above the energy storage power station and used for detecting smoke overflowing from the tops of the energy storage battery bins.
The battery fire monitoring system comprises a plurality of temperature sensors which are uniformly arranged in the energy storage battery pack and are used for monitoring the temperature of a battery cluster in the energy storage battery bin; the electrical fire monitoring system includes a number of electrical fire detectors disposed within an energy storage power station electrical system.
The smoke monitoring system, the battery fire monitoring system, the electric fire monitoring system and the alarm system are all in communication connection with the controller.
The control method of the energy storage power station composite fire detection system comprises the following steps:
s1: as shown in fig. 1, extracting a three-dimensional model of an energy storage power station, establishing a three-dimensional coordinate system 0-xyz for fire detection in the three-dimensional model, and uniformly arranging mounting points of smoke sensors and mounting points of temperature sensors in an energy storage battery pack in a space of the three-dimensional model;
S2: in the energy storage power station, a smoke sensor and a temperature sensor are installed at corresponding positions of installation points of the smoke sensor and the temperature sensor, and an electric fire detector is installed on an electric system;
S3: acquiring coordinates of each smoke sensor and each temperature sensor according to a three-dimensional coordinate system 0-xyz, and numbering each smoke sensor and each temperature sensor in sequence, wherein the coordinates of each smoke sensor are as follows The coordinates of the temperature sensor are/>N is the number of the smoke sensor, and m is the number of the temperature sensor;
s4: the smoke sensor collects smoke concentration values once every set time length, evaluates fire grades when fire occurs according to the smoke concentration values, and obtains overflow points of smoke in the energy storage unit;
The step S4 includes:
S41: the smoke sensor acquires smoke concentration values once every set time length, acquires time labels corresponding to the smoke concentration values, and acquires smoke concentration values Y which are the same as smoke concentration conventional values in corresponding time periods Performing difference to obtain smoke concentration fluctuation value/>：/>；
S42: fluctuation value of smoke concentrationAnd smoke concentration fluctuation threshold value/>Comparing; if/>＞If the smoke concentration at the position is determined to be too high, the smoke concentration value is taken as an abnormal smoke concentration value/>; If/>≤Judging that the smoke concentration fluctuation at the position is normal;
S43: first acquisition of abnormal smoke concentration values from a smoke monitoring system Initially, all abnormal smoke concentration values are entered into an abnormal smoke concentration dataset/>In smoke concentration data set/>The abnormal smoke concentration value in (a) is/>，/>J is the number of the abnormal smoke concentration value;
S44: in smoke concentration data sets Sequentially sequencing all abnormal smoke concentration values according to the sequence of the time labels;
If it is Abnormal smoke concentration value/>Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
If it is Respectively acquiring and collecting abnormal smoke concentration values/>、/>And/>Coordinates of a smoke sensor of (a)、/>And/>；
S45: respectively calculating coordinatesAnd/>Distance d 1, coordinates/>And (3) withDistance d 2 of (a);
；
；
S46: comparing the size of the distance d 1、d2:
If d 1＞d2, collecting abnormal smoke concentration value Is more effective than acquiring abnormal smoke concentration value/>Is closer to the fire point, will have an abnormal smoke concentration value/>Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
If d 1≤d2, collecting abnormal smoke concentration value Is more effective than acquiring abnormal smoke concentration value/>Is closer to the fire point, will have an abnormal smoke concentration value/>Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
S47: smoke concentration data set After the ordering of the abnormal smoke concentration values in the smoke concentration data set is completed, a smoke concentration data set is obtained；
S48: calculated atThe rate of diffusion v 1 of smoke generated by a fire over time, and the rate of diffusion v 2 of smoke spread over distance:
；
Wherein D is the concentration value of the collected abnormal smoke Is used for acquiring abnormal smoke concentration value/>Is a distance between smoke sensors;
S49: calculating an evaluation coefficient K of the fire state according to the diffusion rate v 1、v2:
；
Wherein k 1、k2 is the influence coefficient of the diffusion rate of the smoke along with time and distance on the fire state, V is the wind speed when the fire happens, and k 3 is the influence coefficient of the wind speed on the diffusion of the smoke;
S410: setting evaluation thresholds K 1 and K 2,K2＞K1 of fire conditions;
when K is larger than K 2, judging that the fire is at a first level;
When K 1＜K≤K2 is reached, judging the fire grade is second grade;
When K 1 is more than or equal to K, judging that the fire is three-level;
S411: abnormal smoke concentration values acquired according to the first time t 1 and the second time t 2 Coordinates of the corresponding smoke sensor/>、/>Coordinates/>、/>The points are connected and oriented to the coordinates/>And (2) forming a plurality of extension lines, wherein the extension lines intersect with the area where the nearest energy storage unit is located, and the intersection point of the extension lines on the nearest energy storage unit is used as an overflow point of smoke generated by a fire disaster in the energy storage unit, as shown in fig. 2, and calculating the overflow point of the smoke according to a smoke sensor which monitors the smoke concentration to be too high at first.
When the fire disaster occurs in the energy storage power station, a large amount of smoke can be generated, the smoke can overflow from the gap closest to the ignition point, at the moment, the smoke sensor at the corresponding position can monitor the fire disaster, and the smoke can diffuse upwards after overflowing, so that the severity of the fire disaster can be estimated according to the rate of the smoke diffusion, and further the fire disaster is rated.
S5: and acquiring the position of a fire point in the energy storage unit by using the temperature values acquired by the temperature sensors around the overflow point, generating a corresponding fire signal of the energy storage battery pack or a fire signal of the electrical system, transmitting the fire signal and the fire level to a fire monitoring center of the energy storage power station, and marking the position of the fire point.
The step S5 comprises the following steps:
s51: acquiring coordinates of overflow points in a three-dimensional coordinate system 0-xyz Calculating the coordinate/>, where the overflow point and the ambient temperature sensor are locatedDistance L of (2):
；
S52: screening out the products with the distance L less than or equal to As the temperature sensor nearest to the overflow point, and acquiring the temperature value T acquired by the nearest temperature sensor in a set period, and calculating the average value/>，/>Is the distance between two adjacent temperature sensors;
；
wherein, For the ith temperature value acquired in the set period of time,/>The temperature value is the i-1 th temperature value;
s53: determining average value of temperature fluctuation Whether or not it is greater than the temperature fluctuation threshold/>：
If it is≥/>Then judge that the radius is/>, taking the overflow point as the centerIs a fire center area;
If it is ＜/>Continuing to expand the range of searching for the fire center, and executing the step S54;
s54: screening out the products with the distance L less than or equal to Temperature sensor around overflow point and acquiring radius around overflow point≤r≤/>Temperature fluctuation average value/>, of temperature values acquired by a temperature sensor in a set period of time, within a circular ring range；
；
Wherein,For the o temperature value acquired in the set period of time,/>The o-1 temperature value is acquired;
S55: determining average value of temperature fluctuation Whether or not it is greater than the temperature fluctuation threshold/>：
If it is≥/>Judging that the fire center is centered on the overflow point and the radius is at/>≤r≤/>Is within the circular range of (2);
If it is ≥/>Continuing to expand the range of searching for the fire center, returning to step S54, and setting the radius at/>, with the overflow point as the center of the circle≤r≤/>Searching for a fire center within the circular ring range;
S56: extracting a temperature sensor with a temperature value T being more than or equal to T Threshold value in the range of the fire center after searching the range of the fire center, extracting the coordinate of the temperature sensor in a three-dimensional coordinate system 0-xyz as a fire point coordinate, and marking in the three-dimensional coordinate system 0-xyz;
S57: if the temperature sensor with the acquired temperature value T being more than or equal to T Threshold value is not detected in the battery fire monitoring system in the energy storage unit, acquiring signals of the electric fire detector, judging whether the electric system in the energy storage unit monitors fire signals, generating corresponding fire signals of the energy storage battery pack or the electric system, transmitting the fire signals to a fire monitoring center of the energy storage power station together with fire grades, and marking the position of a fire point.
The invention provides a fire monitoring system capable of realizing multiple parts and synthesis in an energy storage power station, smoke sensors arranged in the energy storage power station monitor smoke released in an energy storage unit, smoke overflow points of the energy storage unit are obtained by using smoke concentration values collected by the smoke sensors, the range of fire points is judged by combining the smoke overflow points and then by surrounding collected temperature values, the fire points are further obtained, and the grade of fire can be estimated. The fire disaster phenomenon and the fire disaster hidden danger of the energy storage battery can be found in time, the sensitivity, the reliability and the real-time performance of fire disaster monitoring are guaranteed, and the safe operation level of the energy storage power station is greatly improved.
Claims (2)
1. A control method of an energy storage power station composite fire detection system is applied to the energy storage power station composite fire detection system and is characterized in that:
The energy storage power station comprises a plurality of energy storage units, wherein the energy storage units are internally formed by a plurality of energy storage battery packs;
the system comprises a smoke monitoring system, a battery fire monitoring system, an electric fire monitoring system, an alarm system and a controller;
the smoke monitoring system comprises a first smoke system and a second smoke system, wherein the first smoke system comprises smoke sensors uniformly arranged in gaps between the energy storage units, and the second smoke system comprises a plurality of smoke sensors uniformly arranged in a set area above the energy storage power station;
The battery fire monitoring system comprises a plurality of temperature sensors which are uniformly arranged in the energy storage battery pack;
The electrical fire monitoring system comprises a plurality of electrical fire detectors arranged in an energy storage power station electrical system;
The smoke monitoring system, the battery fire monitoring system, the electric fire monitoring system and the alarm system are all in communication connection with the controller;
The control method of the energy storage power station composite fire detection system comprises the following steps:
S1: extracting a three-dimensional model of an energy storage power station, establishing a three-dimensional coordinate system 0-xyz for fire detection in the three-dimensional model, and uniformly arranging mounting points of smoke sensors and mounting points of temperature sensors in an energy storage battery pack in a space of the three-dimensional model;
S2: in the energy storage power station, a smoke sensor and a temperature sensor are installed at corresponding positions of installation points of the smoke sensor and the temperature sensor, and an electric fire detector is installed on an electric system;
S3: acquiring coordinates of each smoke sensor and each temperature sensor according to a three-dimensional coordinate system 0-xyz, and numbering each smoke sensor and each temperature sensor in sequence, wherein the coordinates of each smoke sensor are (a n,bn,cn), the coordinates of each temperature sensor are (x m,ym,zm), n is the number of each smoke sensor, and m is the number of each temperature sensor;
s4: the smoke sensor collects smoke concentration values once every set time length, evaluates fire grades when fire occurs according to the smoke concentration values, and obtains overflow points of smoke in the energy storage unit;
S5: acquiring the position of a fire point in the energy storage unit by using temperature values acquired by temperature sensors around the overflow point, generating a corresponding fire signal of the energy storage battery pack or a fire signal of the electrical system, sending the fire signal and the fire level to a fire monitoring center of the energy storage power station, and marking the position of the fire point;
the step S4 includes:
S41: the smoke concentration value is acquired by the smoke sensor every set time length, a time tag corresponding to each smoke concentration value is acquired, the acquired smoke concentration value Y is differed from a smoke concentration conventional value Y' in a corresponding period, and a smoke concentration fluctuation value delta Y is obtained: Δy=y—y';
S42: comparing the smoke concentration fluctuation value delta Y with a smoke concentration fluctuation threshold delta Y Threshold value ; if DeltaY > DeltaY Threshold value , determining that the smoke concentration at the position is too high, and taking the smoke concentration value as an abnormal smoke concentration value If delta Y is less than or equal to delta Y Threshold value , judging that the smoke concentration fluctuation at the position is normal;
S43: first acquisition of abnormal smoke concentration values from a smoke monitoring system Initially, all abnormal smoke concentration values are input into an abnormal smoke concentration data set a, the abnormal smoke concentration value in the smoke concentration data set a being/>T j is a time tag, j is the number of the abnormal smoke concentration value;
s44: sequencing all abnormal smoke concentration values in the smoke concentration data set A according to the sequence of the time labels;
if t j＞tj-1, abnormal smoke concentration value Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
If t j＝tj-1, respectively acquiring and collecting abnormal smoke concentration values And/>Coordinates (a j-1,bj-1,cj-1)、(aj,bj,cj) and (a j-2,bj-2,cj-2) of the smoke sensor of (a);
S45: calculating a distance d1 between coordinates (a j-1,bj-1,cj-1) and (a j-2,bj-2,cj-2) and a distance d2 between coordinates (a j,bj,cj) and (a j-2,bj-2,cj-2), respectively;
S46: comparing the size of the distance d 1、d2:
If d 1＞d2, collecting abnormal smoke concentration value Is more effective than acquiring abnormal smoke concentration value/>Is closer to the fire point, will have an abnormal smoke concentration value/>Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
If d 1≤d2, collecting abnormal smoke concentration value Is more effective than acquiring abnormal smoke concentration value/>Is closer to the fire point, will have an abnormal smoke concentration value/>Exhaust at abnormal smoke concentration value/>Is formed on the front face of the upper part;
s47: after the sorting of the abnormal smoke concentration values in the smoke concentration data set A is completed, a smoke concentration data set is obtained
S48: calculate the diffusion rate v 1 of the smoke generated by the fire over time during the period t 1-tj, and the diffusion rate v 2 of the smoke over distance:
Wherein D is the concentration value of the collected abnormal smoke Is used for acquiring abnormal smoke concentration value/>Is a distance between smoke sensors;
S49: calculating an evaluation coefficient K of the fire state according to the diffusion rate v 1、v2:
K＝k1v1+k2v2-k3V；
Wherein k 1、k2 is the influence coefficient of the diffusion rate of the smoke along with time and distance on the fire state, V is the wind speed when the fire happens, and k 3 is the influence coefficient of the wind speed on the diffusion of the smoke;
S410: setting evaluation thresholds K 1 and K 2,K2＞K1 of fire conditions;
when K is larger than K 2, judging that the fire is at a first level;
When K 1＜K≤K2 is reached, judging the fire grade is second grade;
When K 1 is more than or equal to K, judging that the fire is three-level;
S411: abnormal smoke concentration values acquired according to the first time t 1 and the second time t 2 And connecting the points where the coordinates (a 1,b1,c1)、(a2,b2,c2) are located with the coordinates (a 1,b1,c1)、(a2,b2,c2) of the corresponding smoke sensor, extending the points towards the direction of the coordinates (a 1,b1,c1) to form a plurality of extension lines, intersecting the area where the nearest energy storage unit is located with the extension lines, and taking the intersection point of the plurality of extension lines on the nearest energy storage unit as an overflow point of smoke generated by a fire disaster in the energy storage unit.
2. The method for controlling a composite fire detection system of an energy storage power station according to claim 1, wherein the step S5 includes:
S51: acquiring coordinates (e, f, g) of the overflow point in a three-dimensional coordinate system 0-xyz, and calculating a distance L between the overflow point and a coordinate (x m,ym,zm) where an ambient temperature sensor is located:
S52: screening out a temperature sensor with the distance L less than or equal to D' as a temperature sensor closest to an overflow point, acquiring a temperature value T acquired by the closest temperature sensor within a set period, and calculating a temperature fluctuation average value D' is the distance between two adjacent temperature sensors;
Wherein, T i is the i-th temperature value collected in the set period, and T i-1 is the i-1-th temperature value collected;
s53: determining average value of temperature fluctuation Whether or not it is greater than the temperature fluctuation threshold Δt Threshold value :
If it is Judging that the fire disaster is in a range of D' with the overflow point as the center and the radius as the fire disaster center area;
If it is Continuing to expand the range of searching for the fire center and executing step S54;
S54: screening out temperature sensors around overflow points with the distance L less than or equal to 2D ', and acquiring a temperature fluctuation average value of temperature values acquired by the temperature sensors in a set period within a circular ring range with the overflow points as circle centers and the radius D' less than or equal to r less than or equal to 2D
Wherein, T o is the o-th temperature value collected in the set period, and T o-1 is the o-1-th temperature value collected;
S55: determining average value of temperature fluctuation Whether or not it is greater than the temperature fluctuation threshold Δt Threshold value :
If it is Judging that the fire center is in a circular ring range with an overflow point as the center and the radius of D 'r less than or equal to 2D';
If it is Continuing to expand the range for searching the fire center, returning to the step S54, and searching the fire center in the circular ring range with the radius being 2D '. Ltoreq.r.ltoreq.3D' by taking the overflow point as the circle center;
S56: extracting a temperature sensor with a temperature value T being more than or equal to T Threshold value in the range of the fire center after searching the range of the fire center, extracting the coordinate of the temperature sensor in a three-dimensional coordinate system 0-xyz as a fire point coordinate, and marking in the three-dimensional coordinate system 0-xyz;
S57: if the temperature sensor with the acquired temperature value T being more than or equal to T Threshold value is not detected in the battery fire monitoring system in the energy storage unit, acquiring signals of the electric fire detector, judging whether the electric system in the energy storage unit monitors fire signals, generating corresponding fire signals of the energy storage battery pack or the electric system, transmitting the fire signals to a fire monitoring center of the energy storage power station together with fire grades, and marking the position of a fire point.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410186628.9A CN117746567B (en) | 2024-02-20 | 2024-02-20 | Energy storage power station composite fire detection system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410186628.9A CN117746567B (en) | 2024-02-20 | 2024-02-20 | Energy storage power station composite fire detection system and method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117746567A CN117746567A (en) | 2024-03-22 |
| CN117746567B true CN117746567B (en) | 2024-04-26 |
Family
ID=90280047
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410186628.9A Active CN117746567B (en) | 2024-02-20 | 2024-02-20 | Energy storage power station composite fire detection system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117746567B (en) |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007026187A (en) * | 2005-07-19 | 2007-02-01 | Ohbayashi Corp | Fire monitoring system for performing monitoring by using a plurality of sensor nodes |
| EP1975896A2 (en) * | 2007-03-30 | 2008-10-01 | Nohmi Bosai Ltd. | Smoke detector and sampling air supplying method for smoke detector |
| KR20090114794A (en) * | 2008-04-30 | 2009-11-04 | (주)브로드웨이브 | The techic of sensing and tracking spreaded forest fire |
| DE102013210939A1 (en) * | 2013-06-12 | 2014-12-18 | Robert Bosch Gmbh | Distance determining device, arrangement with the distance determining device, method and computer program |
| CN104408854A (en) * | 2014-11-17 | 2015-03-11 | 华侨大学 | Coach fire detection, extinguishing and pre-warning system and method thereof |
| JP2015052824A (en) * | 2013-09-05 | 2015-03-19 | ホーチキ株式会社 | Fire disaster detection device and method |
| JP2015125660A (en) * | 2013-12-27 | 2015-07-06 | ホーチキ株式会社 | Fire detection system and fire detection method |
| CN105279884A (en) * | 2014-07-04 | 2016-01-27 | 国家电网公司 | Transmission line mountain fire spread warning method with combination of public network weather |
| CN108922101A (en) * | 2018-07-19 | 2018-11-30 | 数海信息技术有限公司 | A kind of several Hisense's breath intelligent security guard Campus Management Systems |
| CN109920192A (en) * | 2019-03-15 | 2019-06-21 | 深圳力维智联技术有限公司 | Fire alarm method, system and computer readable storage medium |
| WO2019217504A1 (en) * | 2018-05-11 | 2019-11-14 | Carrier Corporation | Multi-point detection system |
| CN215653563U (en) * | 2021-06-30 | 2022-01-28 | 中材新材料装备科技(天津)有限公司 | Fire-fighting early warning system of energy storage power station |
| CN114446001A (en) * | 2021-12-28 | 2022-05-06 | 上海有间建筑科技有限公司 | Multifunctional fire alarm device for intelligent construction and use method thereof |
| CN217908676U (en) * | 2022-08-08 | 2022-11-29 | 四川千页科技股份有限公司 | Electrochemistry energy storage cabin fire suppression system |
| CN116363825A (en) * | 2023-06-02 | 2023-06-30 | 北京利达华信电子股份有限公司 | Method and device for displaying fire spreading trend, electronic equipment and medium |
| CN117523809A (en) * | 2024-01-08 | 2024-02-06 | 四川千页科技股份有限公司 | Fire monitoring, evaluating and managing method for lithium ion battery energy storage station |
-
2024
- 2024-02-20 CN CN202410186628.9A patent/CN117746567B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007026187A (en) * | 2005-07-19 | 2007-02-01 | Ohbayashi Corp | Fire monitoring system for performing monitoring by using a plurality of sensor nodes |
| EP1975896A2 (en) * | 2007-03-30 | 2008-10-01 | Nohmi Bosai Ltd. | Smoke detector and sampling air supplying method for smoke detector |
| KR20090114794A (en) * | 2008-04-30 | 2009-11-04 | (주)브로드웨이브 | The techic of sensing and tracking spreaded forest fire |
| DE102013210939A1 (en) * | 2013-06-12 | 2014-12-18 | Robert Bosch Gmbh | Distance determining device, arrangement with the distance determining device, method and computer program |
| JP2015052824A (en) * | 2013-09-05 | 2015-03-19 | ホーチキ株式会社 | Fire disaster detection device and method |
| JP2015125660A (en) * | 2013-12-27 | 2015-07-06 | ホーチキ株式会社 | Fire detection system and fire detection method |
| CN105279884A (en) * | 2014-07-04 | 2016-01-27 | 国家电网公司 | Transmission line mountain fire spread warning method with combination of public network weather |
| CN104408854A (en) * | 2014-11-17 | 2015-03-11 | 华侨大学 | Coach fire detection, extinguishing and pre-warning system and method thereof |
| WO2019217504A1 (en) * | 2018-05-11 | 2019-11-14 | Carrier Corporation | Multi-point detection system |
| CN108922101A (en) * | 2018-07-19 | 2018-11-30 | 数海信息技术有限公司 | A kind of several Hisense's breath intelligent security guard Campus Management Systems |
| CN109920192A (en) * | 2019-03-15 | 2019-06-21 | 深圳力维智联技术有限公司 | Fire alarm method, system and computer readable storage medium |
| CN215653563U (en) * | 2021-06-30 | 2022-01-28 | 中材新材料装备科技(天津)有限公司 | Fire-fighting early warning system of energy storage power station |
| CN114446001A (en) * | 2021-12-28 | 2022-05-06 | 上海有间建筑科技有限公司 | Multifunctional fire alarm device for intelligent construction and use method thereof |
| CN217908676U (en) * | 2022-08-08 | 2022-11-29 | 四川千页科技股份有限公司 | Electrochemistry energy storage cabin fire suppression system |
| CN116363825A (en) * | 2023-06-02 | 2023-06-30 | 北京利达华信电子股份有限公司 | Method and device for displaying fire spreading trend, electronic equipment and medium |
| CN117523809A (en) * | 2024-01-08 | 2024-02-06 | 四川千页科技股份有限公司 | Fire monitoring, evaluating and managing method for lithium ion battery energy storage station |
Non-Patent Citations (1)
| Title |
|---|
| 电缆廊道中电缆接头处的火灾危险性分析;***;《消防科学与技术》;20180930;第37卷(第9期);1290-1294 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117746567A (en) | 2024-03-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111060821B (en) | Battery management system and method with early warning function of lithium battery fault | |
| CN112156399A (en) | Fire-fighting system for echelon early warning and multiple times of accurate discharge of lithium battery energy storage units | |
| CN205680751U (en) | A kind of battery thermal runaway detecting system | |
| CN109568833A (en) | A kind of anti-re-ignition automatic fire extinguisher of power battery pack and method | |
| KR102051863B1 (en) | Firefighting alarm system using eco-friendly energy | |
| CN111554066A (en) | Fire early warning device and method for energy storage battery compartment | |
| CN114913660B (en) | Fire monitoring, early warning and positioning device for prefabricated cabin type electrochemical energy storage system | |
| CN106781178A (en) | A kind of low-power consumption forest fire alarm system and its alarm method | |
| CN114839555A (en) | Early warning method and device for battery energy storage system, electronic equipment and storage medium | |
| CN105641845A (en) | Alarming and detection device and method for fire breakout of battery | |
| CN108683258A (en) | The monitoring method and device of electric line under a kind of bad weather | |
| CN114404839A (en) | Safety monitoring emergency system and method for lithium battery energy storage cabin | |
| CN114320469B (en) | Cloud-edge intelligence-based underground hazard source detection method | |
| CN117746567B (en) | Energy storage power station composite fire detection system and method | |
| CN210864985U (en) | Forest fire prevention monitoring system based on thermal imaging | |
| CN112090006A (en) | Fire control system and method for prefabricated cabin | |
| CN111983454A (en) | Testing device and testing method for lithium battery production | |
| CN115842183A (en) | Thermal runaway early warning system and early warning method for lithium ion battery energy storage cabin | |
| CN108258340A (en) | A kind of battery system with gas monitoring apparatus | |
| CN209055620U (en) | Transmission line of electricity monitoring system | |
| CN117420452B (en) | Monitoring and early warning system for lithium battery energy storage | |
| CN209746757U (en) | intelligent visual fire-fighting monitoring system | |
| CN209630480U (en) | A kind of anti-re-ignition automatic fire extinguisher of power battery pack | |
| CN219591479U (en) | Battery system with thermal runaway grading alarm function | |
| He et al. | Thermal runaway warning based on safety management system of lithium iron phosphate battery for energy storage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |