CN117679694B - Fire-fighting pipeline control system for energy storage battery compartment - Google Patents
Fire-fighting pipeline control system for energy storage battery compartment Download PDFInfo
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- 238000004146 energy storage Methods 0.000 title claims abstract description 47
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- 238000010276 construction Methods 0.000 claims description 13
- 238000013441 quality evaluation Methods 0.000 claims description 13
- 230000005540 biological transmission Effects 0.000 claims description 12
- 239000000779 smoke Substances 0.000 claims description 12
- 238000012360 testing method Methods 0.000 claims description 12
- 230000005856 abnormality Effects 0.000 claims description 9
- 238000003066 decision tree Methods 0.000 claims description 9
- 238000012544 monitoring process Methods 0.000 claims description 8
- 238000005507 spraying Methods 0.000 claims description 7
- 238000011156 evaluation Methods 0.000 claims description 6
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- 238000012549 training Methods 0.000 claims description 6
- 238000012423 maintenance Methods 0.000 claims description 5
- 239000007921 spray Substances 0.000 claims description 5
- 238000002790 cross-validation Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000013138 pruning Methods 0.000 claims description 3
- 239000007789 gas Substances 0.000 description 24
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Abstract
The invention discloses a fire-fighting pipeline management and control system for an energy storage battery compartment, and particularly relates to the technical field of fire-fighting management and control.
Description
Technical Field
The invention relates to the technical field of fire control, in particular to a fire control pipeline control system for an energy storage battery compartment.
Background
The main reason that the fire disaster happens in the energy storage battery compartment is often that thermal runaway occurs in the battery, and because of the special material of the battery in the energy storage container, the fire disaster can cause larger influence once happening, and the fire disaster spreads rapidly, and the duration is long, and the release of toxic gas is accompanied, and the risk of secondary reburning exists after the open fire is eliminated, so that huge economic and personnel losses can be caused, and therefore, the fire disaster of the battery needs to be extinguished accurately and rapidly, and the loss is controlled in the minimum range.
The existing fire control pipeline management and control system for the energy storage battery compartment is characterized in that a fire control pipeline is an independent fire control pipeline, smoke concentration in the energy storage battery compartment is tested by using a smoke sensor, fire control treatment is judged to be needed when the smoke concentration in the energy storage battery compartment reaches a preset value, and an electromagnetic valve is controlled to be connected with the fire control pipeline to spray at a compartment level.
However, the above system still has some problems: because the battery modules are all located in the battery frame, water fire-fighting spraying cannot directly act on the battery modules on fire, the water level in the cabin needs to wait for rising to the fire point, the fire fighting water can act on the fire battery modules, the best opportunity of fire extinguishment is easily delayed, economic and personnel losses are increased, meanwhile, whether fire fighting treatment is needed or not is judged by only relying on the smoke sensor to have certain errors, and multiple environmental parameters and battery operation parameters in the energy storage battery cabin are combined for multiple aspects to analyze, so that fire early warning accuracy and fire fighting treatment timeliness are improved.
Disclosure of Invention
In order to overcome the above-mentioned drawbacks of the prior art, an embodiment of the present invention provides a fire-fighting pipeline control system for an energy storage battery compartment, so as to solve the above-mentioned problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions: a fire line management and control system for an energy storage battery compartment, comprising:
a fire pipeline laying module: respectively paving a fire-fighting water pipeline and a fire-fighting air pipeline which are mutually independent in the fire-fighting pipeline according to a preset fire-fighting pipeline paving scheme, and controlling the on-off of a water path and an air path through an electromagnetic valve;
the fire prediction model building module: retrieving fire disaster data of the energy storage battery compartment, which is consistent with the type of the battery in the target energy storage battery compartment, to construct a fire disaster prediction model, and putting the model into use when the prediction accuracy of the model reaches the standard;
the battery compartment environment monitoring module: the temperature, humidity, pressure, smoke concentration, various gas concentrations, battery temperature, battery current and battery voltage in the battery compartment are monitored in real time by using a sensor, and the monitored data are sent to the battery compartment to use the intelligent regulation and control module;
the battery compartment uses intelligent regulation and control module: comparing the monitored battery compartment environment data with a corresponding preset regulation critical value, regulating and controlling the battery compartment environment data when the regulation conditions are met, judging that the data are abnormal when the regulation fails, and calculating a regulation quality coefficient based on regulation records in a preset fixed period;
and a fire prediction module: inputting the battery compartment environment data which are judged to be abnormal into a fire prediction model to obtain a fire occurrence probability prediction result;
fire control processing module: when the fire occurrence probability reaches a preset fire alarm threshold, automatically alarming and performing fire control treatment, recording related information of the fire control treatment process and sending the related information to a fire control data processing module;
the fire control data processing module: respectively calculating average fire-fighting treatment efficiency, average out-of-control coefficient of a fire-fighting pipeline, average fire-fighting equipment perfection rate and fire-fighting treatment frequency in a preset fixed period based on the recorded related information of the fire-fighting treatment process;
an abnormality maintenance module: analyzing and maintaining abnormal environmental data causes in the battery compartment when the fire occurrence probability does not reach a preset fire alarm threshold;
fire control quality evaluation module: after calculating the fire control quality index, comparing the calculated value with a preset value to judge whether the calculated value meets the standard, if the calculated value meets the standard, continuing the current fire control scheme, and if the calculated value does not meet the standard, optimizing the current fire control scheme;
database: for storing data for all modules in the system.
Preferably, the fire prediction model construction module comprises a fire data retrieval unit, a feature screening unit, a model construction unit, a model performance evaluation unit and an instruction output unit, wherein the fire data retrieval unit invokes fire analysis reports of various existing energy storage battery compartments based on the Internet to acquire temperature, humidity, pressure, smoke concentration, various gas concentrations, battery temperature, battery current and battery voltage in the energy storage battery compartments before and after a fire occurs; the characteristic screening unit screens fire data of the energy storage battery compartment, which is consistent with the battery type in the target energy storage battery compartment, as sample data by taking the battery type as a characteristic word; the model construction unit is used for preprocessing sample data, dividing the sample data into a training data set and a test data set through a cross-validation method, constructing a fire prediction decision tree model by using the training data set, and performing pruning operation on the constructed decision tree model to avoid overfitting; the model performance evaluation unit evaluates the constructed fire prediction decision tree model by using a test data set, and counts the number n of test data samples with correct prediction ca And number of test data samples n cb And calculates the prediction accuracy Y a The specific formula is as follows:comparing the calculated model prediction accuracy with a preset value, and modelingThe model prediction accuracy rate is more than or equal to a preset value and meets the standard, and the model prediction accuracy rate is less than the preset value and does not meet the standard; and the instruction output unit outputs an instruction for allowing the prediction model to be put into use when the standard is judged to be met, and outputs an instruction for further adjusting the prediction model when the standard is judged to be not met.
Preferably, the battery compartment use intelligent regulation and control module comprises a data receiving unit, a regulation and control judging unit, an intelligent regulation and control unit, a regulation and control recording unit, a regulation and control quality coefficient calculating unit, an abnormality judging unit and a data transmission unit, wherein the data receiving unit is used for receiving the environmental data of the battery compartment; the regulation and control judging unit is used for comparing the received data with a corresponding preset regulation and control critical value, and judging that the regulation and control conditions are met when the received data exceeds the upper limit of the preset regulation and control critical value or is lower than the lower limit of the preset regulation and control critical value; the intelligent regulation and control unit regulates and controls the battery compartment environmental data when judging that the battery compartment environmental data meet regulation and control conditions; the regulation and control recording unit is used for recording the quantity of the battery compartment environment data successfully regulated and controlled each time, the time required for regulating and controlling the data to be normal, the successful regulation and control result and the failed regulation and control result; the regulation and control quality coefficient calculation unit is based on a preset fixed period t y Number of internal control successes n ta Number of failure of regulation n tb Number m of battery compartment environment data successfully regulated and controlled for the ith time thi And time t required for successfully regulating and controlling data to be normal for the ith time hci Calculating a regulating quality coefficient X tz The specific formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the The abnormality determination unit determines that the environmental data of the battery compartment is abnormal when the regulation fails; the data transmission unit sends abnormal battery compartment environment data to the fire prediction module, and sends the calculated regulation quality coefficient to the fire control quality evaluation module.
Preferably, the fire control processing module comprises a fire control alarm unit, a fire control processing information recording unit and a fire control processing information transmission unit, wherein the fire control alarm unit automatically alarms when the predicted fire occurrence probability reaches a preset fire control alarm threshold; the fire control processing unit is used for controlling the gas pipeline electromagnetic valve to open the gas pipeline to spray fire control gas to the target abnormal position through the Pack-level fire control pipeline when receiving the fire control alarm prompt, judging whether to open the waterway electromagnetic valve based on the actual fire condition in the energy storage battery compartment after the fire control gas is sprayed, closing the waterway electromagnetic valve when the waterway electromagnetic valve is opened to prevent a water source from entering the fire control gas bottle group, and spraying fire control water to the target abnormal position through the Pack-level fire control pipeline when pouring fire control water to the target abnormal position; the fire control processing information recording unit is used for recording the fire occurrence probability in each fire control processing, the time length required by the fire occurrence probability to be reduced to 0, the actual pressure and flow of the fire control pipeline, the normal starting quantity of fire control equipment and the abnormal starting quantity of the fire control equipment; the fire control processing information transmission unit is used for transmitting the recorded fire control processing information to the fire control data processing module.
Preferably, the fire-fighting data processing module comprises a fire-fighting processing information receiving unit, an average fire-fighting processing efficiency calculating unit, a fire-fighting pipeline average out-of-control coefficient calculating unit, an average fire-fighting equipment perfectness calculating unit, a fire-fighting processing frequency calculating unit and a data output unit, wherein the data receiving unit is used for receiving recorded fire-fighting processing information; the average fire control treatment efficiency calculation unit is based on a preset fixed period t y Probability of fire occurrence P at the time of the inner ith fire fighting treatment ai And a time period t required for the probability of fire occurrence to fall to 0 pci Calculating average fire control treatment efficiency X fe The specific formula is as follows:，n xf for a preset fixed period t y The number of fire fighting treatments in the interior; the average out-of-control coefficient calculation unit of the fire-fighting pipeline is based on a preset fixed period t y Actual pressure p of fire-fighting pipeline during inner ith fire-fighting treatment xi And flow rate G xi And the expected pressure p yi And flow rate G yi Calculating average runaway coefficient X of fire-fighting pipeline ge The specific formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the The average fire-fighting equipment integrity rate calculation unit is based on a preset fixed period t y Normal starting quantity m of fire-fighting equipment during inner ith fire-fighting treatment sxi And the abnormal starting quantity m of fire-fighting equipment syi Calculating the average fire-fighting equipment integrity rate alpha se The specific formula is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the The fire control treatment frequency calculation unit is based on a preset fixed period t y Number of fire-fighting treatments in n xf Calculating fire control treatment frequency H xf The specific formula is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the And the data output unit sends the calculated fire control data indexes to the fire control quality evaluation module.
Preferably, the fire control quality evaluation module comprises a data receiving unit, a fire control processing reliability coefficient calculating unit, a fire control quality index calculating unit, a standard judging unit and an instruction output unit, wherein the data receiving unit is used for receiving a regulation quality coefficient, an average fire control processing efficiency, an average out-of-control coefficient of a fire control pipeline, an average fire control equipment perfection rate and a fire control processing frequency in a preset fixed period; the fire control reliability coefficient calculation unit is based on the average fire control efficiency X in a preset fixed period fe Average runaway coefficient X of fire-fighting pipeline ge Average fire equipment integrity rate alpha se Calculating a fire control reliability coefficient X in a preset fixed period k The specific formula of (2) is:e is a natural constant; the fire control quality index calculation unit is based on a regulating quality coefficient X in a preset fixed period tz Reliability coefficient X of fire control treatment k Fire control treatment frequency H xf Calculating fire control quality index Q X The specific formula of (2) is:the method comprises the steps of carrying out a first treatment on the surface of the The said arrivalThe standard judgment unit compares the calculated fire control quality index with a preset value, wherein the calculated value is larger than or equal to the preset value to judge that the calculated value meets the standard, and the calculated value is smaller than the preset value to judge that the calculated value does not meet the standard; the instruction output unit feeds back the current fire control scheme to the fire control center when the fire control quality index is judged to be up to standard, and feeds back the current fire control scheme to the fire control center when the fire control quality index is judged to be not up to standard.
The invention has the technical effects and advantages that:
1. the fire prediction model construction module is arranged to construct a fire prediction model based on the fire data of the energy storage battery compartment, the type of which is consistent with that of the battery in the target energy storage battery compartment, and the fire prediction model is put into use when the prediction accuracy of the model reaches the standard, so that the fire prediction accuracy is improved; the battery compartment environment monitoring module is arranged to monitor the temperature, humidity, pressure, smoke concentration, various gas concentrations, battery temperature, battery current and battery voltage in the battery compartment in real time by using the sensor, the battery compartment is arranged to compare the monitored battery compartment environment data with a corresponding preset regulation critical value by using the intelligent regulation module, the battery compartment environment data are regulated and controlled when the regulation conditions are met, the abnormal regulation failure is judged, the normal fluctuation of the data is effectively reduced, but the fire alarm error caused by the untimely regulation is effectively avoided, and the fire prediction module is arranged to input the abnormal battery compartment environment data into the fire prediction model to obtain the fire occurrence probability prediction result, so that the timeliness of fire control treatment and the fire prediction accuracy are improved.
2. The fire control processing module is arranged, when a fire control alarm prompt is received, the gas pipeline electromagnetic valve is controlled, the gas pipeline is opened to spray fire control gas to a target abnormal position through the Pack-level fire control pipeline, after fire control gas spraying is finished, whether the water path electromagnetic valve is opened or not is judged based on the actual fire condition in the energy storage battery compartment, the water path electromagnetic valve is closed when the water path electromagnetic valve is opened, a water source is prevented from entering the fire control gas bottle group, fire control water needs to be sprayed to the target abnormal position through the Pack-level fire control pipeline when fire control water is poured to the target abnormal position, the defect that the fire control water can only be poured into the battery compartment in the traditional water path, the uppermost battery module can be reached when the water level of the battery compartment is filled with fire control water, the fire control time is long, the inaccurate positioning defect is overcome, the fire control water spraying device of the fire control pipeline machine is reduced, and the cost is effectively reduced.
3. The invention sets the fire control data processing module to calculate the average fire control processing efficiency, the average out-of-control coefficient of the fire control pipeline and the average fire control equipment perfection rate based on the fire occurrence probability recorded in the fire control processing process, the time length required when the fire occurrence probability is reduced to 0, the actual pressure and flow of the fire control pipeline, the normal starting quantity of the fire control equipment and the abnormal starting quantity of the fire control equipment, further calculates the fire control processing reliability coefficient, reflects the fire control processing reliability through visual data, and is beneficial to realizing the fire control optimization.
Drawings
Fig. 1 is a block diagram of a system architecture of the present invention.
FIG. 2 is a flow chart of the system operation of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment as shown in fig. 1 provides a fire-fighting pipeline management and control system for an energy storage battery compartment, which comprises a fire-fighting pipeline laying module, a fire prediction model construction module, a battery compartment environment monitoring module, a battery compartment intelligent regulation and control module, a fire prediction module, a fire-fighting processing module, a fire-fighting data processing module, an abnormal maintenance module, a fire-fighting control quality evaluation module and a database, wherein the fire-fighting pipeline laying module is connected with the fire-fighting processing module, the fire prediction model construction module, the fire prediction module, the fire-fighting processing module and the fire-fighting data processing module are sequentially connected, the battery compartment environment monitoring module, the battery compartment intelligent regulation and control module, the fire prediction module and the abnormal maintenance module are sequentially connected, and the battery compartment intelligent regulation and control module and the fire-fighting data processing module are all connected with the fire-fighting control quality evaluation module, and all modules in the system are connected with the database.
The fire-fighting pipeline laying module lays the mutually independent fire-fighting water pipeline and fire-fighting air pipeline in the fire-fighting pipeline according to a preset fire-fighting pipeline laying scheme, and controls the on-off of the waterway and the air circuit through the electromagnetic valve.
The fire-fighting pipeline laying module comprises a fire-fighting water pipeline laying unit, a fire-fighting pipeline laying unit and a fire-fighting water and air pipeline communicating unit, wherein pipeline joints and reducing elbows are arranged at two ends of a fire-fighting water pipeline pipe by the fire-fighting water pipeline laying unit, one end of the fire-fighting water pipeline is connected with an external water source through the pipeline joints, and an electromagnetic valve is arranged at the other end of the fire-fighting water pipeline and connected with a DN65 water fire-fighting interface through the reducing joints; the fire-fighting pipeline laying unit is characterized in that an electromagnetic valve is arranged at one end of a fire-fighting pipeline and is connected with a fire-fighting gas bottle group, the other end of the fire-fighting pipeline is connected with a three-way side through pipe, and a three-way assembly is respectively connected with a Pack-level fire-fighting pipeline and a water pipeline electromagnetic valve; the fire water pipeline communication unit uses an electromagnetic valve to control the on-off of the fire water pipeline and the fire gas pipeline which are mutually independent.
And the fire prediction model construction module searches fire data of the energy storage battery compartment, which is consistent with the battery type in the target energy storage battery compartment, to construct a fire prediction model, and the fire prediction model is put into use when the prediction accuracy of the model reaches the standard.
Further, the fire prediction model construction module comprises a fire data retrieval unit, a feature screening unit, a model construction unit, a model performance evaluation unit and an instruction output unit, wherein the fire data retrieval unit invokes fire analysis reports of various existing energy storage battery cabins based on the Internet to acquire temperature, humidity, pressure, smoke concentration, various gas concentrations, battery temperature, battery current and battery voltage in the energy storage battery cabins before and after a fire occurs; the characteristic screening unit screens out the energy storage which is consistent with the battery type in the target energy storage battery compartment by taking the battery type as a characteristic wordFire data of the battery compartment is used as sample data; the model construction unit is used for preprocessing sample data, dividing the sample data into a training data set and a test data set through a cross-validation method, constructing a fire prediction decision tree model by using the training data set, and performing pruning operation on the constructed decision tree model to avoid overfitting; the model performance evaluation unit evaluates the constructed fire prediction decision tree model by using a test data set, and counts the number n of test data samples with correct prediction ca And number of test data samples n cb And calculates the prediction accuracy Y a The specific formula is as follows:comparing the calculated model prediction accuracy with a preset value, wherein the model prediction accuracy is up to standard when being larger than or equal to the preset value, and the model prediction accuracy is not up to standard when being smaller than the preset value; and the instruction output unit outputs an instruction for allowing the prediction model to be put into use when the standard is judged to be met, and outputs an instruction for further adjusting the prediction model when the standard is judged to be not met.
The battery compartment environment monitoring module monitors temperature, humidity, pressure, smoke concentration, various gas concentrations, battery temperature, battery current and battery voltage in the battery compartment in real time by using a sensor, and sends the monitored data to the battery compartment to use the intelligent regulation and control module.
The battery compartment uses intelligent regulation and control module to compare the battery compartment environmental data of monitoring with corresponding default regulation and control critical value, regulates and controls it when satisfying the regulation and control condition, and the regulation and control failure judges that data is unusual, calculates the regulation and control quality coefficient based on the regulation and control record in the default fixed cycle.
Further, the battery compartment use intelligent regulation and control module comprises a data receiving unit, a regulation and control judging unit, an intelligent regulation and control unit, a regulation and control recording unit, a regulation and control quality coefficient calculating unit, an abnormality judging unit and a data transmission unit, wherein the data receiving unit is used for receiving the environmental data of the battery compartment; the regulation and control judging unit is used for comparing the received data with a corresponding preset regulation and control critical value, and exceeding the preset regulation and control critical valueJudging that the regulation and control conditions are met if the upper limit of the regulation and control critical value is lower than the lower limit of the preset regulation and control critical value; the intelligent regulation and control unit regulates and controls the battery compartment environmental data when judging that the battery compartment environmental data meet regulation and control conditions; the regulation and control recording unit is used for recording the quantity of the battery compartment environment data successfully regulated and controlled each time, the time required for regulating and controlling the data to be normal, the successful regulation and control result and the failed regulation and control result; the regulation and control quality coefficient calculation unit is based on a preset fixed period t y Number of internal control successes n ta Number of failure of regulation n tb Number m of battery compartment environment data successfully regulated and controlled for the ith time thi And time t required for successfully regulating and controlling data to be normal for the ith time hci Calculating a regulating quality coefficient X tz The specific formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the The abnormality determination unit determines that the environmental data of the battery compartment is abnormal when the regulation fails; the data transmission unit sends abnormal battery compartment environment data to the fire prediction module, and sends the calculated regulation quality coefficient to the fire control quality evaluation module.
And the fire prediction module inputs the battery compartment environment data which is judged to be abnormal into a fire prediction model to obtain a fire occurrence probability prediction result.
In this embodiment, it is specifically required to specify that the fire prediction module includes an abnormal data receiving unit, an abnormal data input unit, and a fire prediction result output unit, where the abnormal data receiving unit is configured to receive battery compartment environmental data for determining abnormality; the abnormal data input unit is used for inputting abnormal battery compartment environment data into the fire prediction model; the fire prediction result output unit is used for outputting predicted fire occurrence probability.
The fire control processing module automatically alarms and performs fire control processing when the fire occurrence probability reaches a preset fire control alarm threshold value, and records relevant information of the fire control processing process and sends the relevant information to the fire control data processing module.
Further, the fire control processing module comprises a fire control alarm unit, a fire control processing information recording unit and a fire control processing information transmission unit, wherein the fire control alarm unit automatically alarms when the predicted fire occurrence probability reaches a preset fire control alarm threshold; the fire control processing unit is used for controlling the gas pipeline electromagnetic valve to open the gas pipeline to spray fire control gas to the target abnormal position through the Pack-level fire control pipeline when receiving the fire control alarm prompt, judging whether to open the waterway electromagnetic valve based on the actual fire condition in the energy storage battery compartment after the fire control gas is sprayed, closing the waterway electromagnetic valve when the waterway electromagnetic valve is opened to prevent a water source from entering the fire control gas bottle group, and spraying fire control water to the target abnormal position through the Pack-level fire control pipeline when pouring fire control water to the target abnormal position; the fire control processing information recording unit is used for recording the fire occurrence probability in each fire control processing, the time length required by the fire occurrence probability to be reduced to 0, the actual pressure and flow of the fire control pipeline, the normal starting quantity of fire control equipment and the abnormal starting quantity of the fire control equipment; the fire control processing information transmission unit is used for transmitting the recorded fire control processing information to the fire control data processing module.
In this embodiment, it is specifically required to explain that, when performing fire-fighting treatment on the energy storage battery compartment, it is determined whether fire water needs to be sprayed, including fire type, fire intensity, safety effect, and environmental effect of the energy storage battery compartment, firstly, it is required to determine the fire type, if it is a fire occurring in the battery itself, such as overheating and short-circuiting of the battery, fire water needs to be sprayed to reduce the temperature of the battery and extinguish the fire, if it is a fire caused by other substances, fire water does not need to be sprayed, secondly, it is determined whether fire intensity and diffusion condition are needed, if the fire intensity is small and limited in the battery compartment, fire gas is enough to control the fire intensity, at this time, fire water does not need to be sprayed, if the fire intensity is large or has diffused outside the battery compartment or other areas, fire water needs to be sprayed to control fire intensity and extinguish the fire, spraying fire water may cause damage to electrical equipment inside the battery compartment, and damage may also cause damage to the battery itself, when it is determined whether fire water needs to be sprayed, it is required to comprehensively consider effect and safety effect, finally, energy storage battery environmental effect is considered, environmental effect of the battery compartment, environmental factor around the battery compartment, if it is flammable substances may exist around the battery or other flammable substances may exist in the vicinity of the battery, and fire can be more serious fire-fighting problem if fire conditions are more severely caused by other flammable substances.
The fire control data processing module is used for respectively calculating average fire control processing efficiency, average out-of-control coefficient of a fire control pipeline, average fire control equipment perfection rate and fire control processing frequency in a preset fixed period based on the recorded related information of the fire control processing process.
Further, the fire control data processing module comprises a fire control processing information receiving unit, an average fire control processing efficiency calculating unit, a fire control pipeline average out-of-control coefficient calculating unit, an average fire control equipment perfectness calculating unit, a fire control processing frequency calculating unit and a data output unit, wherein the data receiving unit is used for receiving recorded fire control processing information; the average fire control treatment efficiency calculation unit is based on a preset fixed period t y Probability of fire occurrence P at the time of the inner ith fire fighting treatment ai And a time period t required for the probability of fire occurrence to fall to 0 pci Calculating average fire control treatment efficiency X fe The specific formula is as follows:，n xf for a preset fixed period t y The number of fire fighting treatments in the interior; the average out-of-control coefficient calculation unit of the fire-fighting pipeline is based on a preset fixed period t y Actual pressure p of fire-fighting pipeline during inner ith fire-fighting treatment xi And flow rate G xi And the expected pressure p yi And flow rate G yi Calculating average runaway coefficient X of fire-fighting pipeline ge The specific formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the The average fire-fighting equipment integrity rate calculation unit is based on a preset fixed period t y Normal starting quantity m of fire-fighting equipment during inner ith fire-fighting treatment sxi And the abnormal starting quantity m of fire-fighting equipment syi Calculating the average fire-fighting equipment integrity rate alpha se The specific formula is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the The fire control treatment frequency calculation unit is based on a preset fixed period t y Number of fire-fighting treatments in n xf Calculating fire control treatment frequency H xf The specific formula is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the And the data output unit sends the calculated fire control data indexes to the fire control quality evaluation module.
And the abnormal maintenance module analyzes and maintains abnormal environmental data causes in the battery compartment when the fire occurrence probability does not reach a preset fire alarm threshold.
And after the fire control quality evaluation module calculates the fire control quality index, comparing the calculated value with a preset value to judge whether the calculated value meets the standard, if the calculated value meets the standard, continuing the current fire control scheme, and if the calculated value does not meet the standard, optimizing the current fire control scheme.
The database is used for storing the data of all modules in the system.
In this embodiment, it is specifically required to explain that all the preset values are selected based on actual needs, and are not limited herein.
As shown in fig. 2, the embodiment provides an operation flow of a fire-fighting pipeline control system for an energy storage battery compartment, which comprises the following steps:
s1: respectively paving a fire-fighting water pipeline and a fire-fighting air pipeline which are mutually independent in the fire-fighting pipeline according to a preset fire-fighting pipeline paving scheme, and controlling the on-off of a water path and an air path through an electromagnetic valve;
s2: retrieving fire disaster data of the energy storage battery compartment, which is consistent with the type of the battery in the target energy storage battery compartment, to construct a fire disaster prediction model, and putting the model into use when the prediction accuracy of the model reaches the standard;
s3: monitoring the temperature, humidity, pressure, smoke concentration, various gas concentrations, battery temperature, battery current and battery voltage in the battery compartment in real time by using a sensor;
s4: comparing the monitored battery compartment environment data with a corresponding preset regulation critical value, regulating and controlling the battery compartment environment data when the regulation conditions are met, judging that the data are abnormal when the regulation fails, and calculating a regulation quality coefficient based on regulation records in a preset fixed period;
s5: inputting the battery compartment environment data which are judged to be abnormal into a fire prediction model to obtain a fire occurrence probability prediction result;
s6: analyzing and maintaining abnormal environmental data causes in the battery compartment when the fire occurrence probability does not reach a preset fire alarm threshold;
s7: when the fire occurrence probability reaches a preset fire alarm threshold, automatically alarming and performing fire control treatment, and recording the fire occurrence probability in the fire control treatment process, the time required when the fire occurrence probability is reduced to 0, the actual pressure and flow of a fire control pipeline, the normal starting quantity of fire control equipment, the abnormal starting quantity of the fire control equipment and the number of fire control treatment times in a preset fixed period;
s8: respectively calculating average fire-fighting treatment efficiency, average out-of-control coefficient of a fire-fighting pipeline, average fire-fighting equipment perfection rate and fire-fighting treatment frequency in a preset fixed period based on the recorded related information of the fire-fighting treatment process;
s9: and calculating a fire control reliability coefficient in a preset fixed period based on the average fire control efficiency in the preset fixed period, the average out-of-control coefficient of the fire control pipeline and the average fire control equipment integrity rate, calculating a fire control quality index based on the regulation quality coefficient in the preset fixed period, the fire control reliability coefficient and the fire control frequency, comparing the calculated value with a preset value, judging whether the calculated value meets the standard or not, continuing the current fire control scheme when the calculated value meets the standard, and optimizing the current fire control scheme when the calculated value does not meet the standard.
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (4)
1. A fire control pipeline management and control system for energy storage battery compartment, its characterized in that: comprising the following steps:
the fire prediction model building module: retrieving fire disaster data of the energy storage battery compartment, which is consistent with the type of the battery in the target energy storage battery compartment, to construct a fire disaster prediction model, and putting the model into use when the prediction accuracy of the model reaches the standard;
the fire prediction model construction module comprises a fire data retrieval unit, a feature screening unit, a model construction unit, a model performance evaluation unit and an instruction output unit, wherein the fire data retrieval unit invokes fire analysis reports of various existing energy storage battery compartments based on the Internet to acquire temperature, humidity, pressure, smoke concentration, various gas concentrations, battery temperature, battery current and battery voltage in the energy storage battery compartments before and after a fire occurs; the characteristic screening unit screens fire data of the energy storage battery compartment, which is consistent with the battery type in the target energy storage battery compartment, as sample data by taking the battery type as a characteristic word; the model construction unit is used for preprocessing sample data, dividing the sample data into a training data set and a test data set through a cross-validation method, constructing a fire prediction decision tree model by using the training data set, and performing pruning operation on the constructed decision tree model to avoid overfitting; the model performance evaluation unit evaluates the constructed fire prediction decision tree model by using a test data set, and counts the number n of test data samples with correct prediction ca And number of test data samples n cb And calculates the prediction accuracy Y a The specific formula is as follows:comparing the calculated model prediction accuracy with a preset value, wherein the model prediction accuracy is up to standard when being larger than or equal to the preset value, and the model prediction accuracy is not up to standard when being smaller than the preset value; the instruction output unit outputs an instruction for allowing the prediction model to be put into use when the standard is judged to be met, and outputs an instruction for further adjusting the prediction model when the standard is judged to be not met;
the battery compartment environment monitoring module: the temperature, humidity, pressure, smoke concentration, various gas concentrations, battery temperature, battery current and battery voltage in the battery compartment are monitored in real time by using a sensor, and the monitored data are sent to the battery compartment to use the intelligent regulation and control module;
the battery compartment uses intelligent regulation and control module: comparing the monitored battery compartment environment data with a corresponding preset regulation critical value, regulating and controlling the battery compartment environment data when the regulation conditions are met, judging that the data are abnormal when the regulation fails, and calculating a regulation quality coefficient based on regulation records in a preset fixed period;
the battery compartment use intelligent regulation and control module comprises a data receiving unit, a regulation and control judging unit, an intelligent regulation and control unit, a regulation and control recording unit, a regulation and control quality coefficient calculating unit, an abnormality judging unit and a data transmission unit, wherein the data receiving unit is used for receiving the environmental data of the battery compartment; the regulation and control judging unit is used for comparing the received data with a corresponding preset regulation and control critical value, and judging that the regulation and control conditions are met when the received data exceeds the upper limit of the preset regulation and control critical value or is lower than the lower limit of the preset regulation and control critical value; the intelligent regulation and control unit regulates and controls the battery compartment environmental data when judging that the battery compartment environmental data meet regulation and control conditions; the regulation and control recording unit is used for recording the quantity of the battery compartment environment data successfully regulated and controlled each time, the time required for regulating and controlling the data to be normal, the successful regulation and control result and the failed regulation and control result; the regulation and control quality coefficient calculation unit is based on a preset fixed period t y Number of internal control successes n ta Number of failure of regulation n tb Number m of battery compartment environment data successfully regulated and controlled for the ith time thi And time t required for successfully regulating and controlling data to be normal for the ith time hci Calculating a regulating quality coefficient X tz The specific formula is as follows:the method comprises the steps of carrying out a first treatment on the surface of the The abnormality determination unit determines that the environmental data of the battery compartment is abnormal when the regulation fails; the data transmission unit sends abnormal battery compartment environment data to the fire prediction module, and sends the calculated regulation quality coefficient to the fire control quality evaluation module;
and a fire prediction module: inputting the battery compartment environment data which are judged to be abnormal into a fire prediction model to obtain a fire occurrence probability prediction result;
fire control processing module: when the fire occurrence probability reaches a preset fire alarm threshold, automatically alarming and performing fire control treatment, recording related information of the fire control treatment process and sending the related information to a fire control data processing module;
the fire control data processing module: respectively calculating average fire-fighting treatment efficiency, average out-of-control coefficient of a fire-fighting pipeline, average fire-fighting equipment perfection rate and fire-fighting treatment frequency in a preset fixed period based on the recorded related information of the fire-fighting treatment process;
an abnormality maintenance module: analyzing and maintaining abnormal environmental data causes in the battery compartment when the fire occurrence probability does not reach a preset fire alarm threshold;
fire control quality evaluation module: after the fire control quality index is calculated, comparing the calculated value with a preset value to judge whether the calculated value meets the standard, if the calculated value meets the standard, continuing the current fire control scheme, and if the calculated value does not meet the standard, optimizing the current fire control scheme.
2. The fire line management and control system for an energy storage battery compartment of claim 1, wherein: the fire control processing module comprises a fire control alarm unit, a fire control processing information recording unit and a fire control processing information transmission unit, wherein the fire control alarm unit automatically alarms when the predicted fire occurrence probability reaches a preset fire control alarm threshold; the fire control processing unit is used for controlling the gas pipeline electromagnetic valve to open the gas pipeline to spray fire control gas to the target abnormal position through the Pack-level fire control pipeline when receiving the fire control alarm prompt, judging whether to open the waterway electromagnetic valve based on the actual fire condition in the energy storage battery compartment after the fire control gas is sprayed, closing the waterway electromagnetic valve when the waterway electromagnetic valve is opened to prevent a water source from entering the fire control gas bottle group, and spraying fire control water to the target abnormal position through the Pack-level fire control pipeline when pouring fire control water to the target abnormal position; the fire control processing information recording unit is used for recording the fire occurrence probability in each fire control processing, the time length required by the fire occurrence probability to be reduced to 0, the actual pressure and flow of the fire control pipeline, the normal starting quantity of fire control equipment and the abnormal starting quantity of the fire control equipment; the fire control processing information transmission unit is used for transmitting the recorded fire control processing information to the fire control data processing module.
3. The fire line management and control system for an energy storage battery compartment of claim 1, wherein: the fire control data processing module comprises a fire control processing information receiving unit, an average fire control processing efficiency calculating unit, a fire control pipeline average out-of-control coefficient calculating unit, an average fire control equipment perfectness calculating unit, a fire control processing frequency calculating unit and a data output unit, wherein the fire control processing information receiving unit is used for receiving recorded fire control processing information; the average fire control treatment efficiency calculation unit is based on a preset fixed period t y Probability of fire occurrence P at the time of the inner ith fire fighting treatment ai And a time period t required for the probability of fire occurrence to fall to 0 pci Calculating average fire control treatment efficiency X fe The specific formula is as follows:，n xf for a preset fixed period t y The number of fire fighting treatments in the interior; the average out-of-control coefficient calculation unit of the fire-fighting pipeline is based on a preset fixed period t y Actual pressure p of fire-fighting pipeline during inner ith fire-fighting treatment xi And flow rate G xi And the expected pressure p yi And flow rate G yi Calculating average runaway coefficient X of fire-fighting pipeline ge The specific formula is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the The average fire-fighting equipment integrity rate calculation unit is based on a preset fixed period t y Normal starting quantity m of fire-fighting equipment during inner ith fire-fighting treatment sxi And the abnormal starting quantity m of fire-fighting equipment syi Calculating the average fire-fighting equipment integrity rate alpha se The specific formula is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the The saidThe fire control treatment frequency calculation unit is based on a preset fixed period t y Number of fire-fighting treatments in n xf Calculating fire control treatment frequency H xf The specific formula is as follows: />The method comprises the steps of carrying out a first treatment on the surface of the And the data output unit sends the calculated fire control data indexes to the fire control quality evaluation module.
4. The fire line management and control system for an energy storage battery compartment of claim 1, wherein: the fire control quality evaluation module comprises a data receiving unit, a fire control processing reliability coefficient calculating unit, a fire control quality index calculating unit, a standard judging unit and an instruction output unit, wherein the data receiving unit is used for receiving a regulation quality coefficient, an average fire control processing efficiency, an average out-of-control coefficient of a fire control pipeline, an average fire control equipment perfection rate and a fire control processing frequency in a preset fixed period; the fire control reliability coefficient calculation unit is based on the average fire control efficiency X in a preset fixed period fe Average runaway coefficient X of fire-fighting pipeline ge Average fire equipment integrity rate alpha se Calculating a fire control reliability coefficient X in a preset fixed period k The specific formula of (2) is:
e is a natural constant; the fire control quality index calculation unit is based on a regulating quality coefficient X in a preset fixed period tz Reliability coefficient X of fire control treatment k Fire control treatment frequency H xf Calculating fire control quality index Q X The specific formula of (2) is:
the method comprises the steps of carrying out a first treatment on the surface of the The standard-reaching judgment unit compares the calculated fire control quality index with a preset value, the calculated value is larger than or equal to the preset value to judge that the calculated value reaches the standard,the calculated value is smaller than a preset value, and the calculated value is judged to be not up to standard; the instruction output unit feeds back the current fire control scheme to the fire control center when the fire control quality index is judged to be up to standard, and feeds back the current fire control scheme to the fire control center when the fire control quality index is judged to be not up to standard.
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