### 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)

"""Sync entrypoint - just runs arun in an async loop."""
        asyncio.run(self.arun())
    async def arun(self):
        """
        Main (asynchronous) logic loop.
        The loop in here runs trigger addition/deletion/cleanup. Actual
        triggers run in their own separate coroutines.
        """
        watchdog = asyncio.create_task(self.block_watchdog())
        last_status = time.time()
        while not self.stop:
            try:
                
                await self.create_triggers()
                await self.cancel_triggers()
                await self.cleanup_finished_triggers()
                
                await asyncio.sleep(1)
                
                if time.time() - last_status >= 60:
                    count = len(self.triggers)
                    self.log.info("%i triggers currently running", count)
                    last_status = time.time()
            except Exception:
                self.stop = True
                raise
        
        await watchdog
    async def create_triggers(self):