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笔者最近写了一个OpenHarmony开发者手机应用开获取手机的各种信息，源码开源如下： CPU_device_information

1.应用安装步骤

2.实现功能

完成了开发者手机以下信息的获取。

- CPU核心数- SOC型号- GPU温度- 主板温度- 系统运行时间- RAM总内存- RAM可用内存- RAM空闲内存- 缓存使用内存- Swaps交换分区- 系统启动以来创建的进程数- 上下文切换的总数- SOC温度- CPU利用率- CPU大核7温度和利用率- CPU中核6温度和利用率- CPU中核5温度和利用率- CPU中核4温度和利用率- CPU小核3温度和利用率- CPU小核2温度和利用率- CPU小核1温度和利用率- CPU小核0温度和利用率- 设备电量- 电池电压- 电池型号- 电池充电状态- 系统版本- RTC时间和日期- 内核版本信息- 电池信息

3.功能实现逻辑

（1）通过Native C++ 开发方式读取开发板端文件获取手机各项信息

# 获取SOC型号proc/device-tree/cpuinfo_hardware# 获取rtc时间/sys/class/rtc/rtc0/time# 获取内核信息/proc/version# 获取RTC系统日期/sys/class/rtc/rtc0/date# 交换分区大小/proc/swaps# 获取主板热区/sys/class/thermal/thermal_zone27/temp# 获取GPU热区/sys/class/thermal/thermal_zone17/temp# 获取lit0-thmzone 小核心 0 热区/sys/class/thermal/thermal_zone13/temp# 获取lit1-thmzone 小核心 1 热区/sys/class/thermal/thermal_zone14/temp# 获取lit2-thmzone 小核心 2 热区/sys/class/thermal/thermal_zone15/temp# 获取lit3-thmzone 小核心 3 热区/sys/class/thermal/thermal_zone16/temp# 获取mid4-thmzone 中核心 4 热区/sys/class/thermal/thermal_zone9/temp# 获取mid5-thmzone 中核心 5 热区/sys/class/thermal/thermal_zone10/temp# 获取mid6-thmzone 中核心 6 热区/sys/class/thermal/thermal_zone11/temp# 获取big7-thmzone 大核心 7 热区/sys/class/thermal/thermal_zone7/temp# 获取soc-thmzone系统芯片热区/sys/class/thermal/thermal_zone5/temp# /proc/uptime 是一个特殊的文件，它提供了当前系统的运行时间信息。文件中包含了两个数值，分别表示系统的总运行时间和空闲时间。/proc/uptime# 获取内存信息/proc/meminfo# 获取cpu info/proc/cpuinfo# 计算cpu利用率，进程计数器，正在运行的进程计数器，阻塞的进程计数器，系统发生的上下文切换次数/proc/stat

（2）Native C++开发的api

export const getCpuCount: () => Number;//获取cpu核心数export const getMemTotal: () => String;//获取RAM总内存大小export const getFreeMem: () => String;//获取空闲内存大小export const getCachedMem: () => String;//获取缓存使用内存大小export const getAvailableMem: () => String;//获取可用内存大小export const getCpuInfo: () => any;//获取CPU信息export const getMemoryInfo: () => any;//获取RAM信息export const getUptime: () => String;//读取/proc/uptime，/proc/uptime 是一个特殊的文件，它提供了当前系统的运行时间信息。文件中包含了两个数值，分别表示系统的总运行时间和空闲时间。export const getSOCtemp: () => String;//获取soc-thmzone系统芯片热区 /sys/class/thermal/thermal_zone5/tempexport const getCPU_CORE_big7_thmzonetemp: () => String; //获取big7-thmzone 大核心 7 热区export const getCPU_CORE_mid6_thmzonetemp: () => String; //获取mid6-thmzone 中核心 6 热区export const getCPU_CORE_mid5_thmzonetemp: () => String; //获取mid6-thmzone 中核心 5 热区export const getCPU_CORE_mid4_thmzonetemp: () => String; //获取mid6-thmzone 中核心 4 热区export const getCPU_CORE_lit3_thmzonetemp: () => String; //获取lit3-thmzone 小核心 3 热区export const getCPU_CORE_lit2_thmzonetemp: () => String; //获取lit2-thmzone 小核心 2 热区export const getCPU_CORE_lit1_thmzonetemp: () => String; //获取lit1-thmzone 小核心 1 热区export const getCPU_CORE_lit0_thmzonetemp: () => String; //获取lit0-thmzone 小核心 0 热区export const getGPU_temp: () => String;//获取GPU 热区export const getBoard_temp: () => String;//获取主板 热区export const getSwaps: () => String;//获取交换分区大小export const getRTC_Date_temp: () => String;//获取rtc日期export const getKernel_version: () => String;//获取内核信息export const getRTC_Time_temp: () => String;//获取rtc时间export const getCpu_stat_cpu: () => String;//获取cpu以及各个核利用率export const getprocesses: () => String;//获取正在运行的进程数export const getctxt: () => String;//获取正在运行的进程数export const getcpuinfo_hardware: () => String;//获取SOC型号

4.功能实现逻辑剖析

（1）底部导航栏、顶部状态栏设置

参考： 沉浸式界面开发

Index.etsimport window from '@ohos.window';import common from '@ohos.app.ability.common';//沉浸式界面开发:common.UIAbilityContext = getContext(this) as common.UIAbilityContextasync setSystemBar() {let windowClass = await window.getLastWindow(this.context)//设置导航栏，状态栏不可见/** let names: Array<'status' | 'navigation'> = ['navigation'];//设置顶部状态栏不可见* let names: Array<'status' | 'navigation'> = ['status'];//设置底部导航栏不可见* let names: Array<'status' | 'navigation'> = [];//设置*/let names: Array<'status' | 'navigation'> = ["navigation"];await windowClass.setWindowSystemBarEnable(names)}aboutToAppear() {this.setSystemBar()}

（2）获取SOC型号

读取开发板proc/device-tree/cpuinfo_hardware文件获取SOC型号。

TestStatisticsInfo.cpp// proc/device-tree/cpuinfo_hardware// 查看SOC型号napi_value TestStatisticsInfo::Getcpuinfo_hardware(napi_env env, napi_callback_info info) {if ((nullptr == env) || (nullptr == info)) {LOGE("TestStatisticsInfo::Getcpuinfo_hardware: env or info is null");return nullptr;}napi_value thisArg;if (napi_ok != napi_get_cb_info(env, info, nullptr, nullptr, &thisArg, nullptr)) {LOGE("TestStatisticsInfo::Getcpuinfo_hardware: napi_get_cb_info fail");return nullptr;}std::string time = getcpuinfo_hardware();LOGI("getcpuinfo_hardware success! %{public}s", time.c_str());napi_value res;napi_create_string_utf8(env, time.c_str(), strlen(time.c_str()), &res);return res;}std::string TestStatisticsInfo::getcpuinfo_hardware() {FILE *fp0 = fopen("proc/device-tree/cpuinfo_hardware", "r");if (NULL == fp0) {LOGE("TestStatisticsInfo:getcpuinfo_hardware failed to open cpuinfo =======");return 0;}std::string temp0 = "";char buffer0[1024]{};fgets(buffer0, sizeof(buffer0), fp0);temp0.assign(buffer0); // 将buffer转换为字符串类型并赋值给time。LOGE("TestStatisticsInfo::getcpuinfo_hardware %{public}d =======", buffer0);fclose(fp0);return temp0;}

index.d.tsexport const getcpuinfo_hardware: () => String;//获取SOC型号

@State cpuinfo_hardware: String = '';//aboutToAppear函数在创建自定义组件的新实例后，在执行其build()函数之前执行。允许在aboutToAppear函数中改变状态变量，更改将在后续执行build()函数中生效。aboutToAppear() {//getcpuinfo_hardwarethis.cpuinfo_hardware = testStatisticsApi.getcpuinfo_hardware();console.log("========Cpu_stat_cpu is ",this.cpuinfo_hardware)}

（3）获取cpu以及各个核利用率、正在运行的进程数、上下文切换的总数

读取开发板proc/stat目录获取。

# cat proc/statcpu136846 473 429582 992274 115 40307 14266 0 0 0cpu0 37440 30 120671 435245 107 10714 3552 0 0 0cpu1 35618 28 108085 58002 1 8694 3314 0 0 0cpu2 17470 20 58705 74576 6 8023 3100 0 0 0cpu3 13264 13 53196 77765 0 7046 2920 0 0 0cpu4 12691 121 33814 81271 0 2239 554 0 0 0cpu5 12134 134 34550 84395 0 2245 444 0 0 0cpu6 5407 83 14615 87894 0 1123 236 0 0 0cpu7 2819 41 5944 93124 0 219 143 0 0 0intr 28465308 0 303012 15607597 0 0 926124 2759258 0 0 0 0 6706602 0 0 0 0 0 0 0 0 0 0 0 0 0 1506 0 0 0 69 0 734 0 20 302 26293 19428 358 11614 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 49979 0 0 0 0 0 0 1916 0 0 0 0 0 0 1477101 13 0 225612 3534 0 0 0 0 0 105 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 62 8 51 3 0 0 0 0 0 0 0 0 0 2 0 0 49 0 341969 17 30 0 1933ctxt 45507242btime 534processes 6746procs_running 5procs_blocked 0softirq 7457395 112 685658 199 4997 15826 0 3684 2582028 0 4164891

以上参数含义解释如下：

注意：需要修改开发板/vendor/etc/init.uis7885.cfg文件将proc/stat的权限改为777。

TestStatisticsInfo.cppstd::string TestStatisticsInfo::getCpu_stat(std::string field) {std::ifstream meminfo("/proc/stat");std::string line;std::string cpu0Field = "cpu0";std::string cpu1Field = "cpu1";std::string cpu2Field = "cpu2";std::string cpu3Field = "cpu3";std::string cpu4Field = "cpu4";std::string cpu5Field = "cpu5";std::string cpu6Field = "cpu6";std::string cpu7Field = "cpu7";std::string cpuField = "cpu\u0020";std::string processesField = "processes"; // processes: 进程计数器统计。这个字段表示当前运行的进程数量。std::string procs_runningField = "procs_running"; //procs_running: 正在运行的进程计数器统计。这个字段表示当前正在运行的进程数量。std::string procs_blockedField = "procs_blocked";//procs_blocked: 阻塞的进程计数器统计。这个字段表示当前被阻塞的进程数量。std::string ctxtField = "ctxt";//上下文切换计数器统计。这个字段表示系统发生的上下文切换次数，可以用于评估系统的调度性能。while (getline(meminfo, line)) {if (line.find(processesField) != std::string::npos) {std::string res = line;_Cpu_stat[processesField] = res;}if (line.find(procs_runningField) != std::string::npos) {std::string res = line;_Cpu_stat[procs_runningField] = res;}if (line.find(procs_blockedField) != std::string::npos) {std::string res = line;_Cpu_stat[procs_blockedField] = res;}if (line.find(ctxtField) != std::string::npos) {std::string res = line;_Cpu_stat[ctxtField] = res;}if (line.find(cpu7Field) != std::string::npos) {std::string res = line;_Cpu_stat[cpu7Field] = res;}if (line.find(cpu6Field) != std::string::npos) {std::string res = line;_Cpu_stat[cpu6Field] = res;}if (line.find(cpu5Field) != std::string::npos) {std::string res = line;_Cpu_stat[cpu5Field] = res;}if (line.find(cpu4Field) != std::string::npos) {std::string res = line;_Cpu_stat[cpu4Field] = res;}if (line.find(cpu3Field) != std::string::npos) {std::string res = line;_Cpu_stat[cpu3Field] = res;}if (line.find(cpu2Field) != std::string::npos) {std::string res = line;_Cpu_stat[cpu2Field] = res;}if (line.find(cpu1Field) != std::string::npos) {std::string res = line;_Cpu_stat[cpu1Field] = res;}if (line.find(cpu0Field) != std::string::npos) {std::string res = line;_Cpu_stat[cpu0Field] = res;}if (line.find(cpuField) != std::string::npos) {std::string res = line;_Cpu_stat[cpuField] = res;}}return _Cpu_stat[field];}

（4）获取cpu以及各个核利用率

根据/proc/stat 文件内容可以计算 Linux CPU 利用率。

# cat proc/statcpu136846 473 429582 992274 115 40307 14266 0 0 0cpu0 37440 30 120671 435245 107 10714 3552 0 0 0cpu1 35618 28 108085 58002 1 8694 3314 0 0 0cpu2 17470 20 58705 74576 6 8023 3100 0 0 0cpu3 13264 13 53196 77765 0 7046 2920 0 0 0cpu4 12691 121 33814 81271 0 2239 554 0 0 0cpu5 12134 134 34550 84395 0 2245 444 0 0 0cpu6 5407 83 14615 87894 0 1123 236 0 0 0cpu7 2819 41 5944 93124 0 219 143 0 0 0

这是一个 CPU（中央处理器）使用情况的统计信息。每一行都表示一个 CPU 核心的使用情况。下面是对每一列的解释：

cpu: 总体统计信息cpu0、cpu1、cpu2、等等：各个 CPU 核心的统计信息user: 用户模式下运行时间nice: 优先级较低的用户模式下运行时间system: 内核模式下运行时间idle: 空闲时间iowait: 等待输入/输出完成的时间irq: 处理硬件中断的时间softirq: 处理软件中断的时间steal: 被虚拟化主机偷取的时间guest: 运行虚拟 CPU 的时间guest_nice: 运行虚拟 CPU 且优先级较低的时间在 /proc/stat 文件中，CPU 利用率的时间单位是“时钟滴答”（clock ticks）。每个 Linux 系统都有一个时钟线程（clock tick），它以固定的速率生成时钟滴答来驱动系统的计时器。时钟滴答的大小依赖于系统的硬件和配置。它通常以毫秒（ms）为单位，但也可能以微秒（μs）或纳秒（ns）为单位，具体取决于系统。要获取实际的时间单位，你可以查看 /proc/timer_list 或 /proc/timer_stats 文件中的信息。需要注意的是，这些时钟滴答并不是以独立的单位存在的，它们仅用于相对测量和计算 CPU 的利用率。因此，在分析 CPU 利用率时，我们通常关注的是两个时间点之间的差异，而不是实际的时钟滴答值本身。

TestStatisticsInfo.cpp//计算cpu利用率std::string TestStatisticsInfo::calculateCpuUtilization(std::string& a,std::string& a_second) {std::istringstream iss_a(a);std::istringstream iss_a_second(a_second);// 提取每个字段的值std::string cpu_name, cpu_name_second;int user, nice, system, idle, iowait, irq, softirq, steal, guest, guest_nice;int user_second, nice_second, system_second, idle_second, iowait_second, irq_second, softirq_second, steal_second,guest_second, guest_nice_second;iss_a >> cpu_name >> user >> nice >> system >> idle >> iowait >> irq >> softirq >> steal >> guest >> guest_nice;iss_a_second >> cpu_name_second >> user_second >> nice_second >> system_second >> idle_second >> iowait_second >>irq_second >> softirq_second >> steal_second >> guest_second >> guest_nice_second;// 计算总的 CPU 时间和空闲 CPU 时间int total_time = user + nice + system + idle + iowait + irq + softirq + steal;int total_time_second = user_second + nice_second + system_second + idle_second + iowait_second + irq_second +softirq_second + steal_second;int idle_time = idle + iowait;int idle_time_second = idle_second + iowait_second;// 计算 CPU 利用率double cpu_utilization =100.0 * (1.0 - (idle_time_second - idle_time) / static_cast<double>(total_time_second - total_time));return std::to_string(cpu_utilization);}// 计算cpu利用率napi_value TestStatisticsInfo::GetCpu_stat_cpu(napi_env env, napi_callback_info info) {if ((nullptr == env) || (nullptr == info)) {LOGE("TestStatisticsInfo::GetCachedMem: env or info is null");return nullptr;}napi_value thisArg;if (napi_ok != napi_get_cb_info(env, info, nullptr, nullptr, &thisArg, nullptr)) {LOGE("TestStatisticsInfo::GetCpu_stat_cpu: napi_get_cb_info fail");return nullptr;}std::string cpu_cached0 = getCpu_stat("cpu\u0020");std::string cpu0_cached0 = getCpu_stat("cpu0");std::string cpu1_cached0 = getCpu_stat("cpu1");std::string cpu2_cached0 = getCpu_stat("cpu2");std::string cpu3_cached0 = getCpu_stat("cpu3");std::string cpu4_cached0 = getCpu_stat("cpu4");std::string cpu5_cached0 = getCpu_stat("cpu5");std::string cpu6_cached0 = getCpu_stat("cpu6");std::string cpu7_cached0 = getCpu_stat("cpu7");std::this_thread::sleep_for(std::chrono::milliseconds(100)); // 延时 100 毫秒std::string cpu_cached1 = getCpu_stat("cpu\u0020");std::string cpu0_cached1 = getCpu_stat("cpu0");std::string cpu1_cached1 = getCpu_stat("cpu1");std::string cpu2_cached1 = getCpu_stat("cpu2");std::string cpu3_cached1 = getCpu_stat("cpu3");std::string cpu4_cached1 = getCpu_stat("cpu4");std::string cpu5_cached1 = getCpu_stat("cpu5");std::string cpu6_cached1 = getCpu_stat("cpu6");std::string cpu7_cached1 = getCpu_stat("cpu7");std::string cpu = calculateCpuUtilization(cpu_cached0, cpu_cached1);std::string cpu0 = calculateCpuUtilization(cpu0_cached0, cpu0_cached1);std::string cpu1 = calculateCpuUtilization(cpu1_cached0, cpu1_cached1);std::string cpu2 = calculateCpuUtilization(cpu2_cached0, cpu2_cached1);std::string cpu3 = calculateCpuUtilization(cpu3_cached0, cpu3_cached1);std::string cpu4 = calculateCpuUtilization(cpu4_cached0, cpu4_cached1);std::string cpu5 = calculateCpuUtilization(cpu5_cached0, cpu5_cached1);std::string cpu6 = calculateCpuUtilization(cpu6_cached0, cpu6_cached1);std::string cpu7 = calculateCpuUtilization(cpu7_cached0, cpu7_cached1);std::string aaa = cpu + " " + cpu0 + " " + cpu1 + " " + cpu2 + " " + cpu3 + " " + cpu4 + " " + cpu5 + " " + cpu6 + " " + cpu7;LOGI("GetCpu_stat_cpu success! Cached is %{public}s", aaa.c_str());napi_value res;napi_create_string_utf8(env, aaa.c_str(), strlen(aaa.c_str()), &res);return res;}

index.d.tsexport const getCpu_stat_cpu: () => String;//获取cpu以及各个核利用率

Index.tsimport testStatisticsApi from 'libentry.so';@State Cpu_stat_cpu: String = '';//getCpu_stat_cputhis.Cpu_stat_cpu = testStatisticsApi.getCpu_stat_cpu();console.log("========Cpu_stat_cpu is ",this.Cpu_stat_cpu)Text("SOC温度:"+ (Number(this.soctemp)/1000).toFixed(3) +"°C" + "\t\t\tCPU利用率:" + (Number(this.Cpu_stat_cpu.split(" ")[0])).toFixed(3) +"\nCPU大核7温度:"+(Number(this.CPU_CORE_big7_temp)/1000).toFixed(3) +"°C" + "\tCPU大核7利用率:" +(Number(this.Cpu_stat_cpu.split(" ")[8])).toFixed(3) +"\nCPU中核6温度:"+(Number(this.CPU_CORE_mid6_temp)/1000).toFixed(3) +"°C" + "\tCPU中核6利用率:" +(Number(this.Cpu_stat_cpu.split(" ")[7])).toFixed(3) +"\nCPU中核5温度:"+(Number(this.CPU_CORE_mid5_temp)/1000).toFixed(3) +"°C" + "\tCPU中核5利用率:" +(Number(this.Cpu_stat_cpu.split(" ")[6])).toFixed(3) +"\nCPU中核4温度:"+(Number(this.CPU_CORE_mid4_temp)/1000).toFixed(3) +"°C" + "\tCPU中核4利用率:" +(Number(this.Cpu_stat_cpu.split(" ")[5])).toFixed(3) +"\nCPU小核3温度:"+(Number(this.CPU_CORE_lit3_temp)/1000).toFixed(3) +"°C" + "\tCPU小核3利用率:" +(Number(this.Cpu_stat_cpu.split(" ")[4])).toFixed(3) +"\nCPU小核2温度:"+(Number(this.CPU_CORE_lit2_temp)/1000).toFixed(3) +"°C" + "\tCPU小核2利用率:" +(Number(this.Cpu_stat_cpu.split(" ")[3])).toFixed(3) +"\nCPU小核1温度:"+(Number(this.CPU_CORE_lit1_temp)/1000).toFixed(3) +"°C" + "\tCPU小核1利用率:" +(Number(this.Cpu_stat_cpu.split(" ")[2])).toFixed(3) +"\nCPU小核0温度:"+(Number(this.CPU_CORE_lit0_temp)/1000).toFixed(3) +"°C" + "\tCPU小核0利用率:" +(Number(this.Cpu_stat_cpu.split(" ")[1])).toFixed(3))

（5）获取上下文切换的总数

TestStatisticsInfo.cpp// 获取proc/stat文件的ctxt: 上下文切换的总数napi_value TestStatisticsInfo::Getctxt(napi_env env, napi_callback_info info) {if ((nullptr == env) || (nullptr == info)) {LOGE("TestStatisticsInfo::Getctxt: env or info is null");return nullptr;}napi_value thisArg;if (napi_ok != napi_get_cb_info(env, info, nullptr, nullptr, &thisArg, nullptr)) {LOGE("TestStatisticsInfo::Getctxt: napi_get_cb_info fail");return nullptr;}std::string cached = getCpu_stat("ctxt");LOGI("getCpu_stat success! Cached is %{public}s", cached.c_str());napi_value res;napi_create_string_utf8(env, cached.c_str(), strlen(cached.c_str()), &res);return res;}

（6）启动的进程数

TestStatisticsInfo.cpp//获取proc/stat文件的processes: 启动的进程数napi_value TestStatisticsInfo::Getprocesses(napi_env env, napi_callback_info info) {if ((nullptr == env) || (nullptr == info)) {LOGE("TestStatisticsInfo::Getprocesses: env or info is null");return nullptr;}napi_value thisArg;if (napi_ok != napi_get_cb_info(env, info, nullptr, nullptr, &thisArg, nullptr)) {LOGE("TestStatisticsInfo::Getprocesses: napi_get_cb_info fail");return nullptr;}std::string cached = getCpu_stat("processes");LOGI("getCpu_stat success! Cached is %{public}s", cached.c_str());napi_value res;napi_create_string_utf8(env, cached.c_str(), strlen(cached.c_str()), &res);return res;}

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