### Apache Airflow version

main (development)

### What happened

Airflow has `job_heartbeat_sec` (default 5) that was updated to 50 seconds in our environment. This caused 2 instances of triggerer process running for HA to keep updating triggerer_id since below query takes current time minus 30 seconds to query against the latest_heartbeat. This causes alive_triggerer_ids to return empty list since job_heartbeat_sec is more than 50 seconds and the current trigger running this query assigns the triggers to itself. This keeps happening moving triggers from one instance to another.

https://github.com/apache/airflow/blob/62a534dbc7fa8ddb4c249ade85c558b64d1630dd/airflow/models/trigger.py#L216-L223

### What you think should happen instead

The heartbeat calculation should have a value based on job_heartbeat_sec rather than 30 seconds hardcoded so that queries to check triggerer processes alive are adjusted as per user settings.

### How to reproduce

1. Change job_heartbeat_sec to 50 in airflow.cfg
2. Run 2 instances of triggerer.
3. Make an operator that uses `FileTrigger` with the file being absent or any other long running task.
4. Check triggerer_id for the trigger which keeps changing. 

### Operating System

Ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

from airflow.utils.log.logging_mixin import LoggingMixin
from airflow.utils.log.trigger_handler import (
    DropTriggerLogsFilter,
    LocalQueueHandler,
    TriggererHandlerWrapper,
    TriggerMetadataFilter,
    ctx_indiv_trigger,
    ctx_task_instance,
    ctx_trigger_end,
    ctx_trigger_id,
)
from airflow.utils.module_loading import import_string
from airflow.utils.session import provide_session
if TYPE_CHECKING:
    from airflow.models import TaskInstance
HANDLER_SUPPORTS_TRIGGERER = False
"""
If this value is true, root handler is configured to log individual trigger messages
visible in task logs.
:meta private:
"""
SEND_TRIGGER_END_MARKER = True
"""
If handler natively supports triggers, may want to disable sending trigger end marker.
:meta private:
"""
logger = logging.getLogger(__name__)
DISABLE_WRAPPER = conf.getboolean("logging", "disable_trigger_handler_wrapper", fallback=False)
DISABLE_LISTENER = conf.getboolean("logging", "disable_trigger_handler_queue_listener", fallback=False)
def configure_trigger_log_handler():