A three-proofing lamp control method and system with an emergency module

Abstract

This invention relates to a control method and system for a rugged light with an emergency module, belonging to the field of rugged light technology. The method includes: collecting drive status parameters and environmental sensing parameters; when the drive status parameters meet preset emergency connection reference parameters, collecting battery status parameters of the rugged light's emergency module; determining the remaining battery capacity based on the battery status parameters; retrieving human body sensing parameters and ambient light intensity values ​​based on the environmental sensing parameters; determining the ambient light compensation reference output power by combining the remaining battery capacity value and the ambient light intensity value; determining a personnel demand correction coefficient based on the human body sensing parameters; adjusting the ambient light compensation reference output power according to the personnel demand correction coefficient to generate a personnel demand output power; determining personnel output control information based on the personnel demand output power, and outputting the personnel output control information to the rugged light. This invention improves the reliability of rugged lights in emergency situations.

Description

Technical Field

[0001] This invention relates to the field of tri-proof light technology, and in particular to a tri-proof light control method and system with an emergency module. Background Technology

[0002] Tri-proof lights generally refer to sealed lighting fixtures that are waterproof, dustproof, and corrosion-resistant, and are specifically designed for harsh working conditions such as dampness, dust, and acid / alkali corrosion. Because LED lights have advantages such as high photoelectric conversion efficiency, long lifespan, fast start-up, and low-voltage safety, tri-proof lights typically use LED lights as their light-emitting core.

[0003] The Chinese invention patent application document "An LED lamp with an emergency module and its control circuit" (Publication No.: CN120657484A) discloses that: "The LED lamp includes a driver module and an emergency module. The driver module includes a first light source circuit, a second light source circuit, a first plug-in part, an opening and closing valve, and a power supply circuit powered by mains electricity. The opening and closing valve has a conducting state that connects the power supply circuit and the first light source circuit, and a blocking state that disconnects the power supply circuit from the first light source circuit. The emergency module includes a battery unit, a second plug-in part, and a pusher. When the driver module is used alone, the opening and closing valve is in the conducting state, and the mains electricity supplies power to the light source. When the emergency module is connected to the driver module, the pusher causes the opening and closing valve to switch from the conducting state to the blocking state. The first plug-in part and the second plug-in part are plugged in to electrically connect the second light source circuit to the battery unit, and the battery supplies power to the light source. Through a single plug-in action, the power supply circuit is simultaneously disconnected and the emergency circuit is connected."

[0004] In the above solution, the LED light's power circuit is disconnected and the emergency circuit is connected by the driver module in the emergency module. When an emergency occurs in a public scene, the emergency power supply needs to provide continuous power for a long time. However, the battery's stored power is limited, which may result in the inability to meet the long-term emergency lighting needs and reduce the reliability of the tri-proof light in emergency situations. Summary of the Invention

[0005] To improve the reliability of tri-proof lights in emergency situations, this invention provides a tri-proof light control method and system with an emergency module.

[0006] In a first aspect, the present invention provides a method for controlling a tri-proof light with an emergency module, employing the following technical solution: A method for controlling a tri-proof light with an emergency module, comprising: Collect the drive status parameters of the tri-proof light driver module and the environmental perception parameters of the tri-proof light's environment; When the drive status parameters meet the preset emergency connection reference parameters, the battery status parameters of the tri-proof light emergency module are collected. Determine the remaining battery capacity based on battery status parameters; Human body sensing parameters and ambient light intensity values ​​are retrieved based on environmental sensing parameters; The ambient light compensation baseline output power is determined by combining the remaining battery capacity value and the ambient light intensity value. Determine the personnel demand correction coefficient based on human body sensing parameters; The ambient light compensation baseline output power is adjusted based on the personnel demand correction factor to generate the personnel demand output power; The personnel output control information is determined based on the output power required by the personnel, and then output to the tri-proof light.

[0007] By adopting the above technical solution, driving state parameters and environmental sensing parameters are collected. When the driving state parameters meet the emergency connection reference parameters, battery state parameters are collected to determine the remaining battery capacity. At the same time, based on the environmental sensing parameters, human body sensing parameters and ambient light intensity values ​​are retrieved. Then, the ambient light compensation reference output power is determined by combining the remaining battery capacity value and the light intensity value. The ambient light compensation reference output power is then adjusted according to the human body sensing parameters to generate the output power required by personnel. Finally, the personnel output control information is determined and output to the tri-proof light. This allows the tri-proof light to comprehensively consider multiple factors such as the actual remaining battery capacity, ambient light conditions, and the presence of personnel on site in emergency situations, so as to achieve dynamic matching between the output power and the needs of the emergency scenario. This optimizes the light distribution strategy under limited battery power conditions, extends the effective duration of emergency lighting, and improves the reliability of the tri-proof light in emergency situations.

[0008] Optionally, methods for determining the ambient light compensation reference output power include: Collect the installation locations of the tri-proof lights; The emergency phase identifier is determined by combining the installation location and drive status parameters; Determine the baseline power demand value by combining the remaining battery capacity value with the emergency phase indicator; Determine the ambient light compensation coefficient based on the ambient light intensity value; Calculate the product between the ambient light compensation factor and the power demand baseline value and use it as the ambient light compensation reference output power.

[0009] By adopting the above technical solution, the installation location of the tri-proof lights is collected and the emergency stage indicator is determined in combination with the driving status parameters. Then, the power demand baseline value and the ambient light compensation coefficient are determined respectively, and the product value of the two is calculated as the ambient light compensation benchmark output power. This allows tri-proof lights in different installation areas to obtain differentiated benchmark output power according to the actual emergency demand level of their respective locations, and to perform ambient light compensation. This enables the output power to be adaptively adjusted with changes in ambient light conditions, thereby improving the precision of battery energy utilization.

[0010] Optional methods for determining the emergency phase identifier include: The emergency duration value is retrieved based on the drive status parameters; Determine the standard emergency duration based on the installation location; Calculate the ratio between the emergency duration value and the standard emergency duration and use it as the duration ratio value; The duration phase identifier is determined based on the duration ratio, and the duration phase identifier is used as the emergency phase identifier.

[0011] By adopting the above technical solution, the emergency duration value is retrieved, and the standard emergency duration is determined by the installation location. Then, the duration ratio value is calculated to determine the duration stage identifier and serve as the emergency stage identifier. This allows the tri-proof light to output the corresponding stage identifier according to the current time stage of the emergency process, thereby enabling the emergency lighting to perform segmented power management at different time stages.

[0012] Optionally, methods for determining the baseline value of power demand include: Collect the specifications of the tri-proof lamps; Determine the rated power based on the lamp specifications; Determine whether the emergency phase marker corresponds to the pre-set evacuation guidance period; If so, the rated power of the specification will be used as the baseline value for power demand; If not, then determine the reference value for the order of the signs based on the order between the emergency phase signs and the preset evacuation guidance period; The power adjustment coefficient is determined based on the reference value of the label sequence; Based on the comparison between the remaining battery capacity and the preset emergency response power threshold, the baseline value of emergency demand is determined; Calculate the product between the power adjustment factor and the emergency demand baseline value and use it as the power demand baseline value.

[0013] By adopting the above technical solution, the specifications of the lighting fixtures are collected to determine their rated power. Then, it is determined whether the emergency phase indication is within the preset evacuation guidance period. When it is the evacuation guidance period, the rated power is directly used as the power demand baseline value. When it is not the evacuation guidance period, the power adjustment coefficient and the emergency demand baseline value are determined separately, and the product value between the two is calculated and used as the power demand baseline value. Thus, during the evacuation guidance period, the rated power of the lighting fixtures is used to ensure the evacuation lighting needs. During the non-evacuation guidance period, the power output is adaptively adjusted according to the emergency phase indication and the remaining battery capacity value to extend the emergency lighting time.

[0014] Optional methods for determining personnel demand adjustment factors include: The presence status of personnel is retrieved based on human body sensing parameters; Determine whether the presence of personnel matches the preset unmanned baseline state; If so, the preset unmanned baseline correction coefficient will be output and used as the personnel demand correction coefficient. If not, the number of people and the distance between people will be retrieved based on the human body sensing parameters; The personnel selection correction coefficient is determined by combining the personnel quantity value and the personnel distance value, and the personnel selection correction coefficient is used as the personnel demand correction coefficient.

[0015] By adopting the above technical solution, the presence status of personnel is retrieved through human body sensing parameters, and it is judged whether the presence status of personnel is consistent with the preset unmanned baseline status. If they are consistent, the preset unmanned baseline correction coefficient is output as the personnel demand correction coefficient. If they are inconsistent, the personnel quantity value and personnel distance value are retrieved to determine the personnel selection correction coefficient and use it as the personnel demand correction coefficient. In the unmanned state, the baseline correction coefficient is used to reduce unnecessary power consumption. In the manned state, the correction coefficient is determined by combining the personnel quantity and distance information, so that the output power matches the actual personnel presence.

[0016] Optionally, methods for determining the personnel selection correction factor include: Determine if the number of personnel is only one; If so, then determine the single distance correction coefficient based on the personnel distance value, and use the single distance correction coefficient as the personnel selection correction coefficient; If not, then determine the personnel coverage area and area density value based on the personnel distance value; Determine the regional baseline distance value based on the area covered by personnel; The correction factor for multiple selections is determined by combining the regional baseline distance value and the regional density value, and this correction factor for multiple selections is used as the correction factor for personnel selection.

[0017] By adopting the above technical solution, it is determined whether there is only one person. If there is only one person, a single distance correction coefficient is determined and used as the person selection correction coefficient. If there is more than one person, the person coverage area and area density value are determined. Then, the multi-person selection correction coefficient is determined and used as the person selection correction coefficient. Thus, in single-person scenarios, the person distance is used as the main correction basis, and in multi-person scenarios, the person coverage area and area density are used as the comprehensive correction basis, so that the method of determining the correction coefficient is adapted to the actual pattern of the person distribution.

[0018] Optional methods for determining the correction factor when multiple people select it include: Determine whether the remaining battery capacity is greater than the preset emergency response power threshold; If yes, then determine the regional distance correction factor based on the regional reference distance value; Determine the density correction factor based on the regional density value; The regional distance correction factor and density correction factor corresponding to the same personnel coverage area are combined to determine the comprehensive correction factor, which is then used as the correction factor for multiple selections. If not, sort the regions from largest to smallest based on their density values, select the region density value with the highest density value as the selected density value, and use the region baseline distance value corresponding to the selected density value as the region selection distance value. The density selection correction factor is determined based on the selected density value; Determine the region selection correction factor based on the region selection distance value; The selection area correction factor is determined by combining the density selection correction factor and the area selection correction factor, and the selection area correction factor is used as the multi-person selection correction factor.

[0019] By adopting the above technical solution, in multi-person scenarios, it is determined whether the remaining battery capacity is greater than the emergency response power threshold. If it is greater, the area distance correction coefficient and density correction coefficient corresponding to the coverage area of ​​the same person are determined separately, and then combined to obtain a comprehensive correction coefficient, which is used as the multi-person selection correction coefficient. If it is not greater, the selection density value and area selection distance value are selected, and the density selection correction coefficient and area selection correction coefficient are determined accordingly. They are then combined as the multi-person selection correction coefficient. Thus, when the battery power is sufficient, comprehensive correction processing can be performed based on multiple personnel coverage areas. When the battery power is insufficient, sufficient lighting is provided only for the area with the highest personnel density, which facilitates the evacuation of people after gathering.

[0020] Optionally, after determining the personnel demand adjustment factor, the following may also be included: Collect the independent control status parameters of each LED unit in the tri-proof LED array; When the independent control status parameter is the preset independent control reference parameter, the area type configuration parameter is retrieved based on the independent control status parameter; The priority level of a region is determined by combining the remaining battery capacity value with the region type configuration parameters. The priority adjustment coefficient is determined based on the regional priority level, and the personnel demand correction coefficient is adjusted and updated based on the priority adjustment coefficient.

[0021] By adopting the above technical solution, independent control status parameters are collected. When the independent control status parameters are independent control reference parameters, the area type configuration parameters are retrieved based on the independent control status parameters. The area priority level is determined by combining the remaining battery capacity value with the area type configuration parameters. Then, the priority adjustment coefficient is determined based on the area priority level. Based on the priority adjustment coefficient, the personnel demand correction coefficient is adjusted and updated, so that the LED units in different functional areas can obtain priority adjustment coefficients that match the importance of their areas. This enables differentiated illumination allocation based on the functional importance of the area in multi-person coverage areas.

[0022] Optionally, methods for determining the priority adjustment factor include: The lighting priority adjustment coefficient is determined based on the regional priority level; Priority for retrieving safety indications based on installation location; Determine the safety lighting reference factor based on the safety indication priority; Determine whether the lighting priority adjustment factor is greater than the safe lighting reference factor; If so, the lighting priority adjustment factor will be used as the priority adjustment factor; If not, the safety lighting baseline coefficient will be used as the priority adjustment coefficient.

[0023] By adopting the above technical solution, the lighting priority adjustment coefficient and the safety lighting reference coefficient are determined respectively. It is then judged whether the lighting priority adjustment coefficient is greater than the safety lighting reference coefficient. If it is greater, the lighting priority adjustment coefficient is used as the priority adjustment coefficient. If it is not greater, the safety lighting reference coefficient is used as the priority adjustment coefficient. Thus, the safety indication requirement is used as the lower limit constraint condition, so that the priority adjustment coefficient can meet the basic requirements of safety indication while taking into account the lighting requirements.

[0024] Secondly, the present invention provides a tri-proof light control system with an emergency module, which adopts the following technical solution: A tri-proof light control system with an emergency module includes: The data acquisition module is used to collect drive status parameters, environmental perception parameters, battery status parameters, installation location, lamp specifications, and independent control status parameters. The memory stores a program for implementing a tri-proof light control method with an emergency module as described in any one of the first aspects; The processor loads and executes programs stored in memory.

[0025] In summary, the present invention has at least one of the following beneficial technical effects: 1. The system collects drive status parameters and environmental sensing parameters. When the drive status parameters meet the emergency connection reference parameters, the system collects battery status parameters to determine the remaining battery capacity. Simultaneously, based on the environmental sensing parameters, the system retrieves human body sensing parameters and ambient light intensity values. Then, it combines the remaining battery capacity value and the light intensity value to determine the ambient light compensation reference output power. Based on the human body sensing parameters, the system adjusts the ambient light compensation reference output power to generate the output power required by personnel. Finally, it determines and outputs personnel output control information to the tri-proof light. This allows the tri-proof light to comprehensively consider multiple factors such as the actual remaining battery capacity, ambient light conditions, and the presence of personnel on site in emergency situations. It achieves dynamic matching between the output power and the needs of the emergency scenario, thereby optimizing the light distribution strategy under limited battery power conditions, extending the effective duration of emergency lighting, and improving the reliability of the tri-proof light in emergency situations. 2. Collect data on the installation locations of the tri-proof lights and determine the emergency stage identifiers by combining the drive status parameters. Then, determine the baseline power demand value and the ambient light compensation coefficient, calculate the product of the two, and use it as the ambient light compensation benchmark output power. This allows tri-proof lights in different installation areas to obtain differentiated benchmark output power according to the actual emergency demand level of their respective locations, and to perform ambient light compensation so that the output power can be adaptively adjusted with changes in ambient light conditions, thereby improving the precision of battery energy utilization. 3. The emergency duration value is retrieved, and the standard emergency duration is determined by the installation location. Then, the duration ratio value is calculated to determine the duration stage identifier and serve as the emergency stage identifier. This allows the tri-proof light to output the corresponding stage identifier according to the current time stage of the emergency process, thereby enabling segmented power management of emergency lighting at different time stages. Attached Figure Description

[0026] Figure 1 This is a flowchart of the control method for tri-proof lights with an emergency module; Figure 2 This is a structural diagram of a tri-proof light with an emergency module. Figure 1 ; Figure 3 This is a structural diagram of a tri-proof light with an emergency module. Figure 2 ; Figure 4 This is a flowchart illustrating the method for determining the ambient light compensation reference output power.

[0027] The parts referred to by the numbers in the above attached diagrams are as follows: 1. Drive module; 2. Emergency module; 3. LED light board. Detailed Implementation

[0028] The present invention will now be described in further detail with reference to the accompanying drawings and embodiments.

[0029] A method for controlling a rugged light with an emergency module first collects drive status parameters and environmental sensing parameters. After confirming the emergency connection, it acquires battery status parameters and determines the emergency stage indicator based on the installation location. It then calculates the baseline power demand value based on the remaining battery capacity and the emergency stage indicator, and corrects this using an ambient light compensation coefficient. Simultaneously, it determines the presence of personnel through human body sensing parameters. If personnel are present, it further determines a personnel demand correction coefficient based on the number of personnel, their distance, the area covered by the personnel, and the area density. Furthermore, when the LED array has independent control capabilities, it adjusts the priority based on the area priority level. This allows the rugged light to perform differentiated power output control in emergency situations by comprehensively considering multiple factors such as battery capacity, ambient light, personnel distribution, and area importance. Under limited power conditions, it optimizes light distribution, extends the effective duration of emergency lighting, meets the lighting needs of different emergency stages and scenarios, and improves the reliability of the rugged light in emergency situations.

[0030] Reference Figure 1 This invention discloses a method for controlling a tri-proof light with an emergency module, comprising: S100: Collects the driving status parameters of the tri-proof light driver module 1 and the environmental perception parameters of the tri-proof light's environment.

[0031] Among them, the drive status parameters refer to the electrical characteristic data that characterize the current working state of the tri-proof light drive module 1. The drive status parameters include the on / off state between the drive module 1 and the mains power and the duration thereof.

[0032] Environmental sensing parameters refer to parameters that characterize the perception of the physical environment in which the tri-proof lamp is located. These parameters include human body detection parameters and ambient light intensity values. Ambient light intensity values ​​refer to the brightness of natural or ambient light around the installation location of the tri-proof lamp, while human body detection parameters characterize the presence of human activity and the spatial distribution of people within the detection area.

[0033] Reference Figure 2 and Figure 3 The tri-proof light includes an LED light panel 3 for illumination, a driver module 1 for connecting to mains power and controlling the operation of the LED light panel 3, and an emergency module 2 for activating the LED light panel 3 in an emergency. The driver module 1 and emergency module 2 are mounted on the back of the LED light panel 3. An LED array is mounted on the side of the LED light panel 3 away from the driver module 1, and the LED array is divided into several LED units. Each LED unit can be controlled independently or as a whole. A photosensitive sensor for detecting ambient light intensity and a human body sensor for detecting human body parameters are mounted on the side of the LED light panel 3 away from the driver module 1. The human body sensor can be a passive infrared sensor or a microwave radar sensor.

[0034] The system collects drive status parameters by querying drive module 1, collects ambient light intensity values ​​by using a photosensitive sensor, collects human body sensing parameters by using a human body sensing sensor, and combines the human body sensing parameters and ambient light intensity values ​​as environmental perception parameters for convenient subsequent use.

[0035] S101: When the drive status parameters meet the preset emergency connection reference parameters, collect the battery status parameters of the tri-proof light emergency module 2.

[0036] Among them, the emergency connection reference parameters refer to the pre-set set of status reference values ​​used to determine whether the physical connection and electrical switching between the drive module 1 and the emergency module 2 have been completed. The battery status parameters refer to the electrical characteristic data that characterize the current performance status of the battery cells inside the tri-proof light emergency module 2. The battery status parameters include the battery terminal voltage value, charging and discharging current value, battery plate temperature value, etc.

[0037] By comparing the drive status parameters with the emergency connection reference parameters, when all parameters in the drive status parameters meet the preset emergency connection reference parameters, it indicates that the tri-proof light is in emergency mode. Therefore, the emergency module 2 is queried and the battery status parameters are retrieved for subsequent use.

[0038] S102: Determine the remaining battery capacity based on battery status parameters.

[0039] Among them, the remaining battery capacity value refers to the total amount of releaseable electrical energy remaining in the battery cells of emergency module 2 under the current state.

[0040] The battery's remaining capacity is determined by retrieving the terminal voltage value from the battery status parameters and calculating the ratio between this value and a preset battery reference voltage value. This result is then used for subsequent use. The battery reference voltage value is obtained after being pre-input by the operator.

[0041] S103: Retrieve human body sensing parameters and ambient light intensity values ​​based on environmental sensing parameters.

[0042] Among them, human body sensing parameters and ambient light intensity values ​​are retrieved through environmental sensing parameters to facilitate subsequent use.

[0043] S104: Determine the ambient light compensation reference output power by combining the remaining battery capacity value and the ambient light intensity value.

[0044] Among them, the ambient light compensation reference output power refers to the initial power reference value of the light output under emergency lighting conditions.

[0045] By combining and analyzing the remaining battery capacity with the ambient light intensity, the ambient light compensation reference output power can be determined for convenient subsequent use.

[0046] S105: Determine the personnel demand correction coefficient based on human body sensing parameters.

[0047] The personnel demand correction coefficient refers to the proportional adjustment determined based on the actual distribution of personnel in the area surrounding the installation location of the tri-proof light.

[0048] By analyzing human body sensing parameters, the correction coefficient for personnel needs can be determined, which facilitates subsequent use.

[0049] S106: Adjust the ambient light compensation reference output power based on the personnel demand correction factor to generate the personnel demand output power.

[0050] Among them, the output power required by personnel refers to the final power reference value of the light output based on the personnel situation under emergency lighting conditions.

[0051] The product of the personnel demand correction factor and the ambient light compensation reference output power is calculated, and the calculation result is used as the personnel demand output power for convenient subsequent use.

[0052] S107: Determine the personnel output control information based on the personnel's required output power, and output the personnel output control information to the tri-proof light.

[0053] Among them, personnel output control information refers to the electrical drive command signal that drives the LED light board 3 to work at a specified power.

[0054] By converting the output power required by personnel into the target current or target voltage value corresponding to the operation of LED light board 3, and then converting the target current value into the duty cycle parameter of pulse width modulation signal to form personnel output control information, and outputting the personnel output control information to the tri-proof light, dynamic matching of output power and emergency scene requirements is achieved. This optimizes the lighting distribution strategy under limited battery power conditions, extends the effective duration of emergency lighting, and improves the reliability of tri-proof light in emergency situations.

[0055] To further ensure the rationality of the ambient light compensation reference output power, it is necessary to perform a further separate analysis and calculation of the ambient light compensation reference output power, which will be explained in detail through the steps shown below.

[0056] Reference Figure 4 The method for determining the ambient light compensation reference output power includes the following steps: S200: Collects the installation location of the tri-proof lights.

[0057] The installation location point refers to the physical location information of the tri-proof light in the actual application scenario. The installation location point is obtained by the installer through manual configuration when installing the tri-proof light.

[0058] For example, a set of binary DIP switches or jumpers is set on the driver module 1 of the tri-proof light. Each bit of the DIP switch corresponds to a position attribute dimension (such as bits 1-2 indicating the area type, bits 3-4 indicating the installation height range, and bit 5 indicating whether it is near the exit). During installation, the installer sets the DIP switch to the corresponding position according to the actual site conditions. The control chip reads the binary code value of the DIP switch through the general-purpose input / output pins and parses it into the corresponding installation position attribute.

[0059] S201: Determine the emergency phase identifier by combining the installation location and drive status parameters.

[0060] The emergency phase indicator refers to the identifying information used to characterize the time stage of the tri-proof lamp in the current emergency lighting process. The emergency phase indicator is used to distinguish different time stages of emergency lighting, specifically including the initial stage of emergency activation, the evacuation guidance period, the continuous maintenance period, or the power depletion warning period.

[0061] By combining the analysis of the installation location and drive status parameters, the emergency phase indicator can be determined to facilitate subsequent use.

[0062] S202: Determine the baseline value of power demand by combining the remaining battery capacity value with the emergency phase indicator.

[0063] Among them, the power demand baseline value refers to the basic power reference value that allows the LED light board 3 to operate based on the remaining battery capacity under the emergency process time stage corresponding to the current emergency stage identifier.

[0064] By combining and analyzing the remaining battery capacity with the emergency phase indicator, a baseline value for power demand can be determined to facilitate subsequent use.

[0065] S203: Determine the ambient light compensation coefficient based on the ambient light intensity value.

[0066] Among them, the ambient light compensation coefficient refers to the adjustment coefficient that requires artificial emergency lighting to compensate for ambient natural light or existing light sources.

[0067] By comparing the ambient light intensity value with the preset lighting reference light intensity value, when the ambient light intensity value is greater than the lighting reference light intensity value, 0 is used as the ambient light compensation coefficient. When the ambient light intensity value is not greater than the lighting reference light intensity value, the ratio between the ambient light intensity value and the preset lighting reference light intensity value is calculated and used as the ambient light compensation coefficient for convenient subsequent use.

[0068] S204: Calculate the product between the ambient light compensation coefficient and the power demand baseline value and use it as the ambient light compensation reference output power.

[0069] Specifically, by calculating the product between the ambient light compensation coefficient and the baseline power demand value, and using the calculation result as the ambient light compensation reference output power, the accuracy of the obtained ambient light compensation reference output power is improved.

[0070] To further ensure the rationality of the emergency phase identifier, it is necessary to conduct further separate analysis and calculation on the emergency phase identifier, which will be explained in detail through the steps shown below.

[0071] The method for determining the emergency phase indicator includes the following steps: S300: Retrieves the emergency duration value based on drive status parameters.

[0072] The emergency duration value refers to the cumulative time elapsed from the moment the drive module 1 of the tri-proof light detects the emergency state trigger to the current data collection time. The drive state parameters include the emergency duration value.

[0073] The emergency duration value can be retrieved by driving the status parameters, which facilitates subsequent use.

[0074] S301: Determine the standard emergency duration based on the installation location.

[0075] The standard emergency duration refers to the minimum emergency lighting duration that the area where the installation point is located should meet.

[0076] The system retrieves the corresponding area type by installation location, and then retrieves the corresponding standard emergency response time based on the area type for convenient subsequent use. Different area types correspond to different standard emergency response time requirements, which are preset by the operator.

[0077] For example, the standard emergency response time is no less than 90 minutes when the area type is an evacuation route and safety exit area, no less than 60 minutes when the area type is a general densely populated work area, and no less than 30 minutes when the area type is a non-densely populated ordinary area.

[0078] S302: Calculate the ratio between the emergency duration value and the standard emergency duration and use it as the duration ratio value.

[0079] The duration ratio refers to the ratio between the emergency duration and the standard emergency duration.

[0080] The calculation of the duration ratio facilitates subsequent use.

[0081] S303: Determine the duration phase identifier based on the duration ratio value, and use the duration phase identifier as the emergency phase identifier.

[0082] Among them, the duration phase identifier refers to the time interval in which the current emergency process is located within the overall emergency duration.

[0083] The accuracy of the obtained duration stage identifier is improved by comparing the duration ratio value with a preset time stage mapping table and using the duration stage identifier as the emergency stage identifier.

[0084] The time phase mapping table is pre-stored with different duration ratio ranges and their corresponding duration phase identifiers. The time phase mapping table is obtained after the operator pre-inputs the information.

[0085] For example, the time phase mapping table can be set as follows: the time phase corresponding to the time ratio range of 0% to 30% is the initial stage of emergency activation; the time phase corresponding to the time ratio range of 30% to 60% is the evacuation guidance period; the time phase corresponding to the time ratio range of 60% to 90% is the continuous maintenance period; and the time phase corresponding to the time ratio range of 90% to 100% is the power depletion warning period.

[0086] To further ensure the rationality of the power demand baseline value, it is necessary to perform a further separate analysis and calculation on the power demand baseline value, which will be explained in detail through the steps shown below.

[0087] The method for determining the baseline value of power demand includes the following steps: S400: Collects the specifications of tri-proof lamps.

[0088] The lamp specifications refer to the set of specifications that characterize the inherent electrical properties of the tri-proof lamp itself. The lamp specifications are obtained by connecting and reading the driver module 1 of the tri-proof lamp with the LED light board 3.

[0089] S401: Determine the rated power according to the lamp specifications.

[0090] The rated power refers to the power value of the LED light board 3 when it is running under standard operating conditions.

[0091] By retrieving the power value corresponding to the lamp specifications and using it as the rated power of the specifications, it is convenient for subsequent use.

[0092] S402: Determine whether the emergency phase indicator is the preset evacuation guidance period. If yes, proceed to S403; if no, proceed to S404.

[0093] The evacuation guidance period refers to the time during which a higher power output is needed to ensure the illumination of evacuation routes and safety exits to meet the needs of personnel evacuation guidance during the ongoing emergency. The evacuation guidance period is obtained through pre-input.

[0094] By determining whether the emergency phase indicator corresponds to the preset evacuation guidance period, it can be determined whether the rated power can be used directly.

[0095] S403: Use the rated power of the specification as the baseline value for power demand.

[0096] When the emergency phase is marked as the preset evacuation guidance period, it means that the rated power can be used directly at this time, so the rated power is used as the baseline value of power demand.

[0097] S404: Determine the reference value for the order of the signs based on the sequence between the emergency phase signs and the preset evacuation guidance period.

[0098] Among them, the reference value for the order of identification refers to a numerical parameter that characterizes the relative order of the actual time interval corresponding to the current emergency stage identification and the time interval corresponding to the preset evacuation guidance period on the time axis of the emergency process.

[0099] When the emergency phase indicator is not the preset evacuation guidance period, it means that the rated power cannot be used directly at this time. Therefore, by comparing the emergency phase indicator with the preset evacuation guidance period, and assigning a negative value to the phase indicator before the evacuation guidance period and a positive value to the phase indicator after the evacuation guidance period, and with the larger the time interval between the phase indicators, the larger the value assigned, the higher the value is obtained.

[0100] S405: Determine the power adjustment coefficient based on the reference value of the label sequence.

[0101] Among them, the power adjustment coefficient refers to the proportional correction factor for adjusting the power during the non-evacuation guidance period.

[0102] The corresponding standard coefficients are retrieved based on the positive and negative values ​​of the reference values ​​before and after the identification. The product of the values ​​corresponding to the reference values ​​before and after the identification and the standard coefficients before and after the identification is calculated and used as the power adjustment coefficient before and after the identification.

[0103] The pre- and post-emergency standard coefficients are pre-set standard coefficients for situations where the emergency phase indicator is located before the evacuation guidance period and standard coefficients for situations where the emergency phase indicator is located after the evacuation guidance period. The pre- and post-emergency standard coefficients are obtained after being pre-input by the operator.

[0104] S406: Determine the baseline value of emergency demand based on the comparison between the remaining battery capacity and the preset emergency response power threshold.

[0105] The emergency response power threshold refers to the power threshold sufficient to support full-power lighting needs in the phase following the evacuation guidance period. The emergency response power threshold is obtained through pre-input by the operator.

[0106] The emergency demand baseline value refers to the reference power limit value that ensures the long-term use of emergency lighting during the emergency phase, which is not the evacuation guidance period.

[0107] By comparing the remaining battery capacity with the preset emergency response power threshold, when the remaining battery capacity is greater than the preset emergency response power threshold, the rated power is used as the baseline value for emergency demand. When the remaining battery capacity is not greater than the preset emergency response power threshold, the ratio between the remaining battery capacity and the preset emergency response power threshold is calculated and used as the power ratio value. Then, the product of the power ratio value and the rated power is used as the baseline value for emergency demand, which is convenient for subsequent use.

[0108] S407: Calculate the product between the prior power adjustment coefficient and the emergency demand baseline value and use it as the power demand baseline value.

[0109] In this process, the accuracy of the obtained power demand baseline value is improved by calculating the product between the sequential power adjustment coefficient and the emergency demand baseline value and using the calculation result as the power demand baseline value.

[0110] To further ensure the rationality of the personnel demand adjustment factor, it is necessary to conduct a further separate analysis and calculation of the personnel demand adjustment factor, which will be explained in detail through the steps shown below.

[0111] The method for determining the personnel demand adjustment factor includes the following steps: S500: Retrieves the presence status of personnel based on human body sensing parameters.

[0112] Among them, the presence status of personnel refers to the state parameters characterizing whether there is personnel activity within the detection area. Human body sensing parameters include the presence status of personnel.

[0113] The presence status of people can be retrieved by human body sensing parameters, which facilitates subsequent use.

[0114] S501: Determine whether the personnel presence status is consistent with the preset unmanned baseline status. If yes, proceed to S502; if no, proceed to S503.

[0115] The unmanned baseline state refers to the state parameters that characterize the absence of human activity within the detection area. The unmanned baseline state is obtained through pre-input by the operator.

[0116] By judging whether the presence of personnel is consistent with the preset unmanned baseline state, it can be determined whether the LED light panel 3 can be directly controlled to turn off.

[0117] S502: Output the preset unmanned baseline correction coefficient and use it as the personnel requirement correction coefficient.

[0118] The unmanned baseline correction factor refers to the baseline correction factor corresponding to the absence of human activity within the detection area. This factor is obtained through pre-input by the operator. The unmanned baseline correction factor can be set to 0.

[0119] When the personnel presence status is consistent with the preset unmanned baseline status, it means that the LED light board 3 can be directly controlled to turn off. Therefore, the preset unmanned baseline correction coefficient is output and used as the personnel demand correction coefficient.

[0120] S503: Retrieve the number of people and the distance between people based on human body sensing parameters.

[0121] The personnel count value refers to the number of people within the detection area. The personnel distance value refers to the vector distance between a person within the detection area and the tri-proof light. Human body sensing parameters include both the personnel count value and the personnel distance value.

[0122] When the presence of personnel is inconsistent with the preset unmanned baseline state, it means that the LED light panel 3 cannot be directly controlled to turn off. Therefore, the number of personnel and the distance between personnel are retrieved through human body sensing parameters for convenient subsequent use.

[0123] S504: Determine the personnel selection correction coefficient by combining the personnel quantity value and personnel distance value, and use the personnel selection correction coefficient as the personnel demand correction coefficient.

[0124] The personnel selection correction factor refers to the proportional adjustment amount determined when it is confirmed that there are personnel activities in the area surrounding the installation location of the tri-proof light.

[0125] By combining the analysis of personnel quantity and personnel distance values, a personnel selection correction coefficient is determined, and this correction coefficient is used as the personnel demand correction coefficient, thereby improving the accuracy of the obtained personnel demand correction coefficient.

[0126] To further ensure the rationality of the personnel selection correction coefficient, it is necessary to conduct a further separate analysis and calculation of the personnel selection correction coefficient, which will be explained in detail through the steps shown below.

[0127] The method for determining the personnel selection correction factor includes the following steps: S600: Determine if the number of personnel is only one. If yes, proceed to S601; if no, proceed to S602.

[0128] In this process, by determining whether the number of personnel is only one, it can be determined whether further settings are needed based on the specific distribution of personnel.

[0129] S601: Determine a single distance correction factor based on the personnel distance value, and use the single distance correction factor as the personnel selection correction factor.

[0130] Among them, the single distance correction factor refers to the correction factor set by an individual based on the actual needs of emergency lighting brightness at different distances.

[0131] When there is only one person, it means that there is no need to make further settings based on the specific distribution of people. Therefore, the distance value of people is assigned according to the principle that the closer the people are, the lower the requirement for the control degree and the closer the correction coefficient is to 0. The farther the people are, the higher the requirement for the control degree and the closer the correction coefficient is to 1. The assigned value is used as a single distance correction coefficient, and then the single distance correction coefficient is used as the personnel selection correction coefficient to improve the accuracy of the obtained personnel selection correction coefficient.

[0132] S602: Determine the personnel coverage area and area density value based on the personnel distance value.

[0133] The personnel coverage area refers to the overall distribution range of personnel within the area surrounding the installation location of the lighting fixture. The area density value refers to the degree of personnel concentration per unit area or unit distance within the defined personnel coverage area.

[0134] By retrieving the direction and distance corresponding to the distance values ​​of personnel, and constructing a coordinate system with the location of the tri-proof light as the origin, the location of each person is determined. Then, the DBSCAN density clustering algorithm is used to cluster all personnel location points to obtain several personnel gathering areas as personnel coverage areas. The ratio of the number of people in each cluster to the area of ​​the cluster is calculated as the regional density value of the corresponding area for convenient subsequent use.

[0135] S603: Determine the regional baseline distance value based on the area covered by personnel.

[0136] Among them, the regional baseline distance value refers to a representative single distance value extracted from the overall spatial range of the determined personnel coverage area in a multi-person scenario.

[0137] By calculating the center point of the area covered by personnel, and using the distance between the center point and the tri-proof light location as the area's baseline distance value, it is convenient for subsequent use.

[0138] S604: Combine the regional baseline distance value and the regional density value to determine the correction factor for multiple selections, and use the correction factor for multiple selections as the correction factor for personnel selection.

[0139] Among them, the multi-person selection correction coefficient refers to the comprehensive proportional factor determined based on the spatial location characteristics of the personnel coverage area and the degree of personnel concentration in multi-person scenarios.

[0140] By combining the regional baseline distance value and the regional density value, a correction coefficient for multiple selections is determined, and this correction coefficient is used as the correction coefficient for personnel selection, thereby improving the accuracy of the obtained correction coefficient for personnel selection.

[0141] To further ensure the rationality of the correction coefficient for multiple selections, it is necessary to perform a further separate analysis and calculation of the correction coefficient for multiple selections, which will be explained in detail through the steps shown below.

[0142] The method for determining the correction factor when multiple people select it includes the following steps: S700: Determine whether the remaining battery capacity is greater than the preset emergency response power threshold. If yes, proceed to S701; if no, proceed to S704.

[0143] Specifically, the system determines whether it is necessary to perform coefficient fusion for multiple users by judging whether the remaining battery capacity is greater than the preset emergency response power threshold.

[0144] S701: Determine the regional distance correction factor based on the regional reference distance value.

[0145] Among them, the regional distance correction coefficient refers to the scaling factor determined based on the regional distance.

[0146] When the remaining battery capacity is greater than the preset emergency response power threshold, it means that there is no need to perform coefficient fusion for multiple people. Therefore, the regional baseline distance value is assigned according to the principle that the closer the people are, the lower the need for comparison and the closer the correction coefficient is to 0, and the farther the people are, the higher the need for comparison and the closer the correction coefficient is to 1. The assigned value is used as the regional distance correction coefficient for convenient subsequent use.

[0147] S702: Determine the density correction factor based on the regional density value.

[0148] The density correction factor is a proportional factor determined based on the population density in the area.

[0149] The regional density values ​​are assigned according to the principle that the greater the regional density, the greater the need for control and the closer the correction coefficient is to 1; the smaller the regional density, the lower the need for control and the closer the correction coefficient is to 0. The assigned values ​​are then used as density correction coefficients for convenient subsequent use.

[0150] S703: Combine the regional distance correction factor and density correction factor corresponding to the same personnel coverage area to determine the comprehensive correction factor and use it as the correction factor for multiple selections.

[0151] Among them, the comprehensive correction coefficient refers to the comprehensive proportional factor determined by combining regional distance and regional density.

[0152] By retrieving the regional distance correction coefficient and density correction coefficient corresponding to the same personnel coverage area and inputting them into the preset coefficient weighting calculation formula, the correction coefficient of a single area is calculated. Then, the average value of each single area correction coefficient is calculated and used as the comprehensive correction coefficient. Finally, the comprehensive correction coefficient is used as the correction coefficient for multiple selections, thereby improving the accuracy of the obtained correction coefficient for multiple selections.

[0153] The formula for calculating the weighted coefficient is: Comprehensive correction coefficient = Regional distance correction coefficient * A + Density correction coefficient * B, A + B = 1, and A and B are obtained after being pre-input by the operator.

[0154] S704: Sort the region density values ​​from largest to smallest, select the region density value with the highest sorting value as the selected density value, and use the region reference distance value corresponding to the selected density value as the region selection distance value.

[0155] Here, the selected density value refers to the density value corresponding to the selected area density value. The selected area distance value refers to the distance value corresponding to the selected area reference distance value.

[0156] When the remaining battery capacity is not greater than the preset emergency response power threshold, it indicates that it is necessary to perform coefficient fusion for multiple people. Therefore, the area density values ​​are sorted from largest to smallest, and the largest area density value is selected as the selected density value. The area selection distance value is also defined for convenient use later.

[0157] S705: Determine the density selection correction factor based on the selected density value.

[0158] The density selection correction factor refers to the scaling factor determined based on the selected density value.

[0159] For the specific method of obtaining the density selection correction factor, please refer to S702.

[0160] S706: Determine the region selection correction coefficient based on the region selection distance value.

[0161] Among them, the region selection correction coefficient refers to the scaling factor determined based on the region selection distance value.

[0162] For details on how to obtain the region selection correction coefficient, please refer to S701.

[0163] S707: Combine the density selection correction factor and the region selection correction factor to determine the selection region correction factor, and use the selection region correction factor as the multi-person selection correction factor.

[0164] Among them, the regional selection correction coefficient refers to the comprehensive proportional factor determined by combining the density selection correction coefficient and the regional selection correction coefficient.

[0165] By inputting the density selection correction coefficient and the region selection correction coefficient into a preset coefficient weighting calculation formula to calculate the region selection correction coefficient, and then using the region selection correction coefficient as the multi-person selection correction coefficient, the accuracy of the obtained multi-person selection correction coefficient is improved.

[0166] To further ensure the rationality of the determined personnel demand adjustment coefficient, a further separate analysis and calculation is required after the personnel demand adjustment coefficient is determined. The specific steps are explained in detail below.

[0167] After determining the personnel demand adjustment factor, the following steps are also included: S800: Collects the independent control status parameters of each LED unit in the tri-proof LED array.

[0168] The independent control status parameter refers to the key information characterizing whether each LED unit in the tri-proof LED array has independent drive control capability. The independent control status parameter is obtained by reading the LED array in LED panel 3.

[0169] S801: When the independent control status parameter is the preset independent control reference parameter, retrieve the area type configuration parameter based on the independent control status parameter.

[0170] The independent control baseline parameters refer to the key information characterizing the independent drive and control capability of each LED unit in the tri-proof LED array. These parameters are obtained through pre-input by the operator. The zone type configuration parameters, assuming the tri-proof LED array supports independent control of each LED unit, are pre-set configuration information representing the functional attributes of the lighting service area for each LED unit corresponding to an independent control channel. Zone type configuration parameters include evacuation route lighting zones, safety exit indicator zones, etc.

[0171] When the independent control status parameter is the preset independent control reference parameter, the function configuration of each LED unit is read through the independent control status parameter and used as the area type configuration parameter for convenient subsequent use.

[0172] S802: Determine the region priority level by combining the remaining battery capacity value and the region type configuration parameters.

[0173] Among them, the regional priority level refers to the priority level assigned to the regional type configuration parameters of each independent control channel in the tri-proof LED array under different power remaining conditions.

[0174] By inputting the remaining battery capacity value and the region type configuration parameters into the preset region priority database, the region priority level is matched and obtained, which facilitates subsequent use.

[0175] The area priority database pre-stores a table mapping different battery remaining capacity values, area type configuration parameters, and their corresponding area priority levels. The database is retrieved after pre-input. The closer the battery remaining capacity value is to 100%, the closer the area priority level corresponding to the area type configuration parameter of "evacuation route lighting zone" is to the area priority level corresponding to the area type configuration parameter of "safety exit indication zone," and the closer it is to the highest level. Conversely, the closer the battery remaining capacity value is to 0%, the higher the area priority level corresponding to the area type configuration parameter of "evacuation route lighting zone" is to the area priority level corresponding to the area type configuration parameter of "safety exit indication zone," and the closer both are to the lowest level. The specific area priority level is set by the operator according to actual needs.

[0176] For example, if the area priority level is set to 5 levels, then when the remaining battery capacity is 90%, the area priority level corresponding to the area type configuration parameter of evacuation route lighting zone is level 5, and the area priority level corresponding to the area type configuration parameter of safety exit indication zone is level 4; when the remaining battery capacity is 60%, the area priority level corresponding to the area type configuration parameter of evacuation route lighting zone is level 5, and the area priority level corresponding to the area type configuration parameter of safety exit indication zone is level 2; when the remaining battery capacity is 20%, the area priority level corresponding to the area type configuration parameter of evacuation route lighting zone is level 3, and the area priority level corresponding to the area type configuration parameter of safety exit indication zone is level 1.

[0177] S803: Determine the priority adjustment coefficient based on the regional priority level, and adjust and update the personnel demand correction coefficient based on the priority adjustment coefficient.

[0178] The priority adjustment coefficient is a proportional correction factor determined based on the priority level of each region.

[0179] By analyzing the regional priority levels, the priority adjustment coefficient is determined. Then, the product value between the priority adjustment coefficient and the personnel demand correction coefficient is calculated, and the calculation result is used to replace the personnel demand correction coefficient, thereby improving the accuracy of the obtained personnel demand correction coefficient.

[0180] To further ensure the rationality of the priority adjustment coefficient, it is necessary to perform a further separate analysis and calculation on the priority adjustment coefficient, which will be explained in detail through the steps shown below.

[0181] The method for determining the priority adjustment coefficient includes the following steps: S900: Determine the lighting priority adjustment coefficient based on the area priority level.

[0182] The lighting priority adjustment coefficient refers to the proportional correction factor corresponding to the adjustment of the area priority level when the area type configuration parameter is set as the evacuation passage lighting zone.

[0183] The product of the area priority level and the preset priority baseline coefficient when the area type configuration parameter is set to evacuation passage lighting zone is calculated, and the calculation result is used as the lighting priority adjustment coefficient for convenient subsequent use.

[0184] S901: Priority for retrieving safety indications based on installation location.

[0185] Among them, the safety indication priority refers to the degree of importance attached to the safety indication function of the tri-proof light installation location in emergency situations.

[0186] Different installation locations correspond to different safety indicator priorities. Installation locations in evacuation routes and safety exits have the highest priority, followed by stairwells, and then general work areas and equipment rooms. The priority of the corresponding safety indicator can be retrieved based on the installation location for convenient subsequent use.

[0187] S902: Determine the safety lighting reference coefficient based on the safety indication priority.

[0188] Among them, the safety lighting reference factor refers to the reference factor corresponding to the minimum lighting power guarantee level required for the installation location to meet the safety indication function in an emergency.

[0189] The higher the safety indicator priority, the larger the corresponding safety lighting reference coefficient. The safety indicator priority is entered into a preset safety lighting reference database to obtain the corresponding safety lighting reference coefficient for convenient subsequent use.

[0190] The safety lighting reference database pre-stores a table of different safety indication priorities and their corresponding safety lighting reference coefficients. The safety lighting reference database is obtained after the operator pre-inputs the information.

[0191] S903: Determine whether the lighting priority adjustment factor is greater than the safety lighting reference factor. If yes, proceed to S904; if no, proceed to S905.

[0192] Specifically, the ability to use the lighting priority adjustment factor is determined by whether the lighting priority adjustment factor is greater than the safety lighting reference factor.

[0193] S904: Use the lighting priority adjustment factor as the priority adjustment factor.

[0194] When the lighting priority adjustment coefficient is greater than the safety lighting reference coefficient, it means that the lighting priority adjustment coefficient can be used at this time. Therefore, the lighting priority adjustment coefficient is used as the priority adjustment coefficient to improve the accuracy of the obtained priority adjustment coefficient.

[0195] S905: Use the safety lighting reference coefficient as the priority adjustment coefficient.

[0196] When the lighting priority adjustment coefficient is not greater than the safety lighting reference coefficient, it means that the lighting priority adjustment coefficient cannot be used at this time. Therefore, the safety lighting reference coefficient is used as the priority adjustment coefficient to improve the accuracy of the obtained priority adjustment coefficient.

[0197] Based on the same inventive concept, embodiments of the present invention provide a tri-proof light control system with an emergency module, comprising: The data acquisition module is used to collect drive status parameters, environmental perception parameters, battery status parameters, installation location, lamp specifications, and independent control status parameters. The memory stores a program for implementing a tri-proof light control method with an emergency module as described above; The processor loads and executes programs stored in memory.

[0198] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional modules is used as an example. In practical applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device, and unit described above can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0199] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principles of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A method for controlling a tri-proof light with an emergency module, characterized in that, include: Collect the driving status parameters of the tri-proof light driving module (1) and the environmental perception parameters of the tri-proof light's environment; When the drive status parameters meet the preset emergency connection reference parameters, the battery status parameters of the tri-proof light emergency module (2) are collected. Determine the remaining battery capacity based on battery status parameters; Human body sensing parameters and ambient light intensity values ​​are retrieved based on environmental sensing parameters; The ambient light compensation baseline output power is determined by combining the remaining battery capacity value and the ambient light intensity value. Determine the personnel demand correction coefficient based on human body sensing parameters; The ambient light compensation baseline output power is adjusted based on the personnel demand correction factor to generate the personnel demand output power; The personnel output control information is determined based on the output power required by the personnel, and then output to the tri-proof light.

2. The method for controlling a tri-proof light with an emergency module according to claim 1, characterized in that, Methods for determining the ambient light compensation reference output power include: Collect the installation locations of the tri-proof lights; The emergency phase identifier is determined by combining the installation location and drive status parameters; Determine the baseline power demand value by combining the remaining battery capacity value with the emergency phase indicator; Determine the ambient light compensation coefficient based on the ambient light intensity value; Calculate the product between the ambient light compensation factor and the power demand baseline value and use it as the ambient light compensation reference output power.

3. The method for controlling a tri-proof light with an emergency module according to claim 2, characterized in that, The methods for determining the emergency phase identifier include: The emergency duration value is retrieved based on the drive status parameters; Determine the standard emergency duration based on the installation location; Calculate the ratio between the emergency duration value and the standard emergency duration and use it as the duration ratio value; The duration phase identifier is determined based on the duration ratio, and the duration phase identifier is used as the emergency phase identifier.

4. The method for controlling a tri-proof light with an emergency module according to claim 2, characterized in that, Methods for determining the baseline value of power demand include: Collect the specifications of the tri-proof lamps; Determine the rated power based on the lamp specifications; Determine whether the emergency phase marker corresponds to the pre-set evacuation guidance period; If so, the rated power of the specification will be used as the baseline value for power demand; If not, then determine the reference value for the order of the signs based on the order between the emergency phase signs and the preset evacuation guidance period; The power adjustment coefficient is determined based on the reference value of the label sequence; Based on the comparison between the remaining battery capacity and the preset emergency response power threshold, the baseline value of emergency demand is determined; Calculate the product between the power adjustment factor and the emergency demand baseline value and use it as the power demand baseline value.

5. A method for controlling a tri-proof light with an emergency module according to claim 2, characterized in that, The methods for determining the personnel demand adjustment factor include: The presence status of personnel is retrieved based on human body sensing parameters; Determine whether the presence of personnel matches the preset unmanned baseline state; If so, the preset unmanned baseline correction coefficient will be output and used as the personnel demand correction coefficient. If not, the number of people and the distance between people will be retrieved based on the human body sensing parameters; The personnel selection correction coefficient is determined by combining the personnel quantity value and the personnel distance value, and the personnel selection correction coefficient is used as the personnel demand correction coefficient.

6. A method for controlling a tri-proof light with an emergency module according to claim 5, characterized in that, The methods for determining the personnel selection correction factor include: Determine if the number of personnel is only one; If so, then determine the single distance correction coefficient based on the personnel distance value, and use the single distance correction coefficient as the personnel selection correction coefficient; If not, then determine the personnel coverage area and area density value based on the personnel distance value; Determine the regional baseline distance value based on the area covered by personnel; The correction factor for multiple selections is determined by combining the regional baseline distance value and the regional density value, and this correction factor for multiple selections is used as the correction factor for personnel selection.

7. A method for controlling a tri-proof light with an emergency module according to claim 6, characterized in that, Methods for determining the correction factor when multiple people select it include: Determine whether the remaining battery capacity is greater than the preset emergency response power threshold; If yes, then determine the regional distance correction factor based on the regional reference distance value; Determine the density correction factor based on the regional density value; The regional distance correction factor and density correction factor corresponding to the same personnel coverage area are combined to determine the comprehensive correction factor, which is then used as the correction factor for multiple selections. If not, sort the regions from largest to smallest based on their density values, select the region density value with the highest density value as the selected density value, and use the region baseline distance value corresponding to the selected density value as the region selection distance value. The density selection correction factor is determined based on the selected density value; Determine the region selection correction factor based on the region selection distance value; The selection area correction factor is determined by combining the density selection correction factor and the area selection correction factor, and the selection area correction factor is used as the multi-person selection correction factor.

8. A method for controlling a tri-proof light with an emergency module according to claim 7, characterized in that, After determining the personnel demand adjustment factor, the following is also included: Collect the independent control status parameters of each LED unit in the tri-proof LED array; When the independent control status parameter is the preset independent control reference parameter, the area type configuration parameter is retrieved based on the independent control status parameter; The priority level of a region is determined by combining the remaining battery capacity value with the region type configuration parameters. The priority adjustment coefficient is determined based on the regional priority level, and the personnel demand correction coefficient is adjusted and updated based on the priority adjustment coefficient.

9. A method for controlling a tri-proof light with an emergency module according to claim 8, characterized in that, The methods for determining the priority adjustment coefficient include: The lighting priority adjustment coefficient is determined based on the regional priority level; Priority for retrieving safety indications based on installation location; Determine the safety lighting reference factor based on the safety indication priority; Determine whether the lighting priority adjustment factor is greater than the safe lighting reference factor; If so, the lighting priority adjustment factor will be used as the priority adjustment factor; If not, the safety lighting baseline coefficient will be used as the priority adjustment coefficient.

10. A tri-proof light control system with an emergency module, characterized in that, include: The data acquisition module is used to collect drive status parameters, environmental perception parameters, battery status parameters, installation location, lamp specifications, and independent control status parameters. The memory stores a program for implementing a tri-proof light control method with an emergency module as described in any one of claims 1 to 9; The processor loads and executes programs stored in memory.

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