PA0_TIME == 0 || PA1_TIME == 0
时间: 2024-06-17 12:07:49 浏览: 8
PA0_TIME == 0 || PA1_TIME == 0 这个条件语句是用于判断PA0和PA1两个引脚是否在规定时间内被读取到。其中PA0_TIME和PA1_TIME是时间参数,如果PA0或PA1在规定时间内没有被读取到,则会返回True,否则返回False。这个语句通常用于嵌入式系统中对外部信号的检测。如果你需要更详细的信息,请提供更具体的背景和上下文。
相关问题
void Task_Time(void) { if(++LEDx_tt==LEDx_Time){ LEDx_tt=0, LEDx_Ref=1; } if(++KEY_tt==10) { KEY_tt=0; KeyScan(); } if(++LCD_tt==200){ LCD_tt=0; LCD_Ref=1; } if(PA1_Start == 1) { if(++PA1_tt == 5000 ) { PA1_tt = 0; PA1_Start = 0; PA1_Stop = 1; } } },请为每行语句添加注释
// 这是一个名为 Task_Time 的函数,用于处理定时任务
// 检查 LEDx_tt 是否等于 LEDx_Time,如果是,则将 LEDx_tt 置为 0,LEDx_Ref 置为 1
if (++LEDx_tt == LEDx_Time) {
LEDx_tt = 0;
LEDx_Ref = 1;
}
// 检查 KEY_tt 是否等于 10,如果是,则将 KEY_tt 置为 0,并调用 KeyScan() 函数
if (++KEY_tt == 10) {
KEY_tt = 0;
KeyScan();
}
// 检查 LCD_tt 是否等于 200,如果是,则将 LCD_tt 置为 0,LCD_Ref 置为 1
if (++LCD_tt == 200) {
LCD_tt = 0;
LCD_Ref = 1;
}
// 检查 PA1_Start 是否为 1
if (PA1_Start == 1) {
// 如果是,则递增 PA1_tt,并检查是否等于 5000
if (++PA1_tt == 5000) {
PA1_tt = 0;
PA1_Start = 0;
PA1_Stop = 1;
}
}
优化以下SQL select pao.id, pao.order_no, pao.apply_time, pao.purchase_user_id, pao.purchase_user_name, pao.apply_user_id, pao.apply_user_name, pao.apply_department_id, pao.apply_department_name, pao.apply_end_time, pao.create_user_id, pao.create_user_name, pao.approve_type, pao.approve_user_id, pao.approve_user_name, pao.approve_time, pao.description, pao.order_type, pao.purchase_type, pao.storage_type, pao.compose_order_no, pao.company_id, pao.delete, pao.create_time, pao.update_time, pao.supplier_id, pao.image_path, pao.contract_id, pao.status, pao.invoice_signer_name, pao.total_amount, pao.total_amount_tax, pao.purchase_status, pao.cancel_reason, pao.print_status, pao.demand_id, pao.arrival_status, pao.supervise_num, pao.supervise_date, pao.merge_apply_id, pao.deadline, pao.remind , s.name as supplierName, paod.amount, cm.return_status as returnStatus, cm.inventory_status as inventoryStatus, cm.stock_remark, cm.merge_flag, cm.signature_file, cm.department_pass, cm.receipt_file, cm.amount_paid, cm.amount_unpaid, cm.contract_name, cm.status as contractStatus, cm.contract_no, cm.contract_amount, paod.product_name, cm.advance_payment, cm.advance_ratio, cm.currency_unit from purchase_apply_order pao left join supplier s on pao.supplier_id = s.id left join ( SELECT GROUP_CONCAT(distinct p.product_name) product_name, sum(IFNULL(amount_tax, 0)) amount, apply_order_no from purchase_apply_order_details pa left join product p on p.pn_code = pa.product_code where p.company_id = 29 GROUP BY apply_order_no ) paod on paod.apply_order_no = pao.order_no left join contract_management cm on pao.contract_id = cm.id where pao.delete = 0 and pao.company_id = 29 and deadline <= '2023-05-25 15:34:00.01' and remind = 0 and arrival_status in( 0 , 1 ) order by pao.create_time desc;
首先,我们可以对该 SQL 查询语句进行简化,只选择需要的字段而不是全部选择。其次,我们可以尝试添加索引以加快查询速度。
以下是优化后的 SQL 查询语句:
```
SELECT pao.id, pao.order_no, pao.apply_time, pao.purchase_user_id, pao.purchase_user_name, pao.apply_user_id,
pao.apply_user_name, pao.apply_department_id, pao.apply_department_name, pao.apply_end_time, pao.create_user_id,
pao.create_user_name, pao.approve_type, pao.approve_user_id, pao.approve_user_name, pao.approve_time,
pao.description, pao.order_type, pao.purchase_type, pao.storage_type, pao.compose_order_no, pao.company_id,
pao.delete, pao.create_time, pao.update_time, pao.supplier_id, pao.image_path, pao.contract_id, pao.status,
pao.invoice_signer_name, pao.total_amount, pao.total_amount_tax, pao.purchase_status, pao.cancel_reason,
pao.print_status, pao.demand_id, pao.arrival_status, pao.supervise_num, pao.supervise_date, pao.merge_apply_id,
pao.deadline, pao.remind, s.name AS supplierName, paod.amount, cm.return_status AS returnStatus,
cm.inventory_status AS inventoryStatus, cm.stock_remark, cm.merge_flag, cm.signature_file, cm.department_pass,
cm.receipt_file, cm.amount_paid, cm.amount_unpaid, cm.contract_name, cm.status AS contractStatus,
cm.contract_no, cm.contract_amount, paod.product_name, cm.advance_payment, cm.advance_ratio, cm.currency_unit
FROM purchase_apply_order pao
LEFT JOIN supplier s ON pao.supplier_id = s.id
LEFT JOIN (
SELECT GROUP_CONCAT(DISTINCT p.product_name) product_name, SUM(IFNULL(amount_tax, 0)) amount, apply_order_no
FROM purchase_apply_order_details pa
LEFT JOIN product p ON p.pn_code = pa.product_code
WHERE p.company_id = 29
GROUP BY apply_order_no
) paod ON paod.apply_order_no = pao.order_no
LEFT JOIN contract_management cm ON pao.contract_id = cm.id
WHERE pao.delete = 0
AND pao.company_id = 29
AND deadline <= '2023-05-25 15:34:00.01'
AND remind = 0
AND arrival_status IN (0, 1)
ORDER BY pao.create_time DESC;
```
我们可以为 `purchase_apply_order` 表的 `company_id` 字段和 `deadline` 字段以及 `remind` 字段创建索引。同时,也可以为 `arrival_status` 字段和 `delete` 字段创建索引。这可以大大加快查询速度。
```
CREATE INDEX idx_purchase_apply_order_company_id_deadline_remind ON purchase_apply_order (company_id, deadline, remind);
CREATE INDEX idx_purchase_apply_order_arrival_status_delete ON purchase_apply_order (arrival_status, delete);
```
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