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

保持对负责向疗养院患者提供药物的自主系统的情景感知项目我的总体目标是将负责向疗养院患者提供药物的自主系统的需求建模为方程系统，然后可以使用该方程系统预测系统中未来错误的时间，以便可以预防这些错误。该系统还应在一定的置信度下运行，该置信度可以通过系统的调整来计算，并有望最小化。-创建一个表示确保自治系统平稳运行所需的条件的方程系统。我会从一小部分条件开始，然后尝试在整个项目过程中添加更多条件。-创建一种对等式进行优先排序的方法。要做到这一点，一种方法可能是查看如果不满足哪些条件将导致最严重的错误。理想情况下，这将通过医疗保健专业人员的输入来完成。-每个方程式将由几个参数组成。监控这些参数并为每个参数生成安全范围，在该范围内不存在严重错误的风险。-根据每个参数的这些安全范围，预测下一个致命错误可能发生的时间。这种方式，如果知道的话，很可能是可以防止的。-计算系统的有界误差概率。这可能是通过假设检验来实现的，每次模型产生新的未来风险时，假设检验都会更新。

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.