Maintaining the situational awareness of an autonomous system responsible for delivering medication to patients in care homes

我的总体目标是将负责向护理家庭患者提供药物的自治系统的要求建模为方程组，然后可以用于预测系统中未来错误的时间，因此可以预防它们。系统还应该以一定的置信度运行，该置信度可以通过系统的适应来计算并希望最小化。创建一个方程组，表示确保自治系统平稳运行所需的条件。我会从一小部分条件开始，然后在项目过程中尝试添加更多条件。创建一个优先排序方程的方法。这样做的一种方法是查看如果不满足哪些条件会导致最严重的错误。理想情况下，这将与医疗保健专业人士的输入完成。每个方程都由几个参数组成。监控这些并为每个参数生成一个安全范围，其中没有关键错误的风险。根据每个参数的安全范围，预测下一个致命错误可能发生的时间。这样，如果知道的话，很可能会被阻止。计算系统的有界错误概率。这可能通过假设检验来完成，每次模型产生新的未来风险时都会更新假设检验。

Maintaining the situational awareness of an autonomous system responsible for delivering medication to patients in care homesProject My overall goal is to model the requirements of an autonomous system responsible for delivering medication to care home patients as a system of equations, which can then be used to predict times of future error in the system, so they can be prevented. The system should also function with a certain level of confidence, which can be calculated and hopefully minimized by adaptation of the system.-Create a system of equations representing the conditions needed to ensure the smooth operation of the autonomous system. I would start with a small number of conditions and then attempt to add more over the course of the project.- Create a method of prioritizing the equations. One way of doing this could be looking at which conditions would cause the most serious error if not met. Ideally, this would be done with input from a healthcare professional.- Each equation will be made up of several parameters. Monitor these and generate a safe range for each parameter, where there is no risk of critical error.- From these safe ranges of each parameter, predict the time at which the next fatal error could occur. This way, if known, it could likely be prevented.- Calculate a bounded probability of error for the system. This could potentially be done by hypothesis testing which is updated each time the model produces a new future risk.