A temperature monitoring and early warning system and method for a power drive chip

Abstract

The application discloses a temperature monitoring and early warning system and method for a power driving chip, and belongs to the technical field of temperature monitoring and early warning, which comprises a temperature collecting module, a temperature data processing module, an environment detecting module, a main control module and an intelligent early warning module. The temperature of the power driving chip is collected in real time to the temperature monitoring and early warning system through the temperature collecting module, the temperature data is analyzed in real time through the temperature data processing module, whether the temperature of the collected power driving chip is abnormal is judged, whether there is a staff under the current environment is detected through the environment detecting module, the temperature monitoring and early warning system is intelligently controlled through the main control module, whether there is a staff under the current environment is optimally selected and implemented through the intelligent early warning module, and when the collected temperature data is analyzed to be abnormal, the system selects an optimal early warning scheme according to the actual situation of the current environment, so that the chip temperature can be accurately monitored and timely early warning can be performed.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of temperature monitoring and early warning, in particular to a temperature monitoring and early warning system and method for power driving chips. BACKGROUND

[0002] When a chip is working, a part of energy is converted into heat energy, causing the chip to heat up. The temperature of the chip increases with the increase of working time and power, and sometimes even exceeds the maximum temperature of the chip, causing dangerous accidents such as explosion and fire. Therefore, it is necessary to monitor and early warn the temperature of the chip.

[0003] However, there are few systems capable of monitoring and early warning the temperature of the chip. The chip is always in a heating state when working and is easily affected by the external environment. When monitoring and early warning the temperature of the chip, temperature detection errors occur, resulting in false alarms and wasting a lot of manpower and resources. In addition, when the temperature of the chip is abnormal, the early warning method is incorrect, causing unavoidable harm and causing significant losses.

[0004] Therefore, a temperature monitoring and early warning system and method for power driving chips are needed to solve the above problems. SUMMARY

[0005] The present application aims to provide a temperature monitoring and early warning system and method for power driving chips to solve the problems raised in the background.

[0006] To solve the above technical problems, the present application provides the following technical solution: a temperature monitoring and early warning system for power driving chips, comprising a temperature collection module, a temperature data processing module, an environment detection module, a main control module, and an intelligent early warning module.

[0007] The temperature collection module is used to collect the temperature of the power driving chip in real time to the temperature monitoring and early warning system.

[0008] The temperature data processing module is used to analyze the collected temperature data in real time and determine whether the temperature of the power driving chip is abnormal.

[0009] The environment detection module is used to detect whether there is a worker in the current environment.

[0010] The main control module is used to intelligently control the temperature monitoring and early warning system.

[0011] The intelligent early warning module intelligently selects the optimal early warning scheme.

[0012] The output end of the temperature acquisition module is connected with the input end of a temperature data processing module; the output ends of the temperature data processing module and the environment detection module are connected with the input end of a main control module; and the output end of the main control module is connected with the input end of an intelligent early warning module.

[0013] According to the above technical solution, the temperature acquisition module uses a temperature sensor to acquire temperature data of the power driving chip to realize real-time acquisition of the temperature data. The temperature sensor is a device for measuring the cold and hot degree of an object and provides temperature measurement in a readable form through an electrical signal.

[0014] According to the above technical solution, the data processing module includes a data conversion unit, a data comparison unit and a data processing unit.

[0015] The data conversion unit is used for converting the type of the acquired temperature data. The temperature data type conversion converts the acquired analog signal into a digital signal through an analog-to-digital converter.

[0016] The data comparison unit is used for comparing the processed data with a temperature threshold to determine whether the data is normal.

[0017] The data processing unit is used for collating and operating the acquired data to determine whether the data is normal again.

[0018] The data comparison unit and the data processing unit are used for twice analysis and processing of the authenticity of the temperature, so that the temperature data processed by the data processing module is more convincing.

[0019] The output end of the data conversion unit is connected with the input ends of the data comparison unit and the data processing unit.

[0020] According to the above technical solution, the environment detection module includes an infrared sensing unit, a camera acquisition unit and an identity recognition unit.

[0021] The infrared sensing unit is used for detecting whether there is a person in the current environment to detect the current environment in the first time.

[0022] The camera acquisition unit is used for image acquisition when the infrared sensing unit detects a person. The image acquisition mainly uses a camera to quickly take a photo of the current environment for acquisition.

[0023] The identity recognition unit is used for data analysis of the acquired image and recognition of whether it is a staff member to quickly select an optimal early warning scheme.

[0024] The output end of the infrared sensing unit is connected with the input end of the central control unit; and the output end of the camera acquisition unit is connected with the input end of the identity recognition unit.

[0025] According to the technical scheme, the master module is composed of a plurality of central control units, which is used for intelligent control of the whole temperature monitoring and early warning system, so that the whole system can run in order.

[0026] According to the technical scheme, the intelligent early warning module is used for selecting and implementing the optimal early warning scheme according to the actual situation of the working environment of the power driving chip, so that the user can know the early warning situation in time and take first-aid measures in time and reduce the loss.

[0027] A temperature monitoring and early warning method of a power driving chip, the temperature monitoring and early warning method of the chip comprising the following steps:

[0028] S1: acquiring real-time data of the temperature of the chip by using a temperature sensor and transmitting the temperature data in real time;

[0029] S2: using a data conversion unit to perform real-time conversion processing on the collected temperature data, and transmitting the converted data to a data comparison unit; using the data comparison unit to compare the collected real-time temperature data with a temperature threshold, and transmitting the judgment result to a central control unit;

[0030] S3: using a data processing unit to analyze and process the collected data, to judge whether the collected temperature data is normal and the danger degree of exceeding the temperature safety range, and transmitting the processing result to the central control unit;

[0031] S4: using an infrared sensing unit to quickly detect the presence of people in the working environment of the power driving chip, and transmitting the detection situation to the central control unit; using a camera acquisition unit to quickly acquire image information of the person, and quickly transmitting the acquired information to an identity recognition unit, to judge whether the person is a staff member by recognizing the identity marker, and transmitting the judgment result to the central control unit;

[0032] S5: according to the real-time temperature comparison situation of S2, the correctness of the temperature data, the danger degree of exceeding the temperature safety range, and the actual situation of the working environment of the power driving chip, an optimal early warning scheme is selected and implemented.

[0033] According to the technical scheme, the data conversion unit in step S3 stores the real-time temperature collected when the power driving chip is working, and forms a set T={T1, T2, T3, T4, …, TN}, TS={TN-2, TN-1, TN}, wherein T1, T2, T3, T4, …, TN represent N times of real-time collected temperature data, and the set TS is used to store the temperature data collected for the N-2th, N-1th and Nth times, and simultaneously forms a set T K ={TN-2 T0, T N-1 T0, T N T0, T T0, T N-2 T0, T N-1 T0, T N T0, T

[0034] T0, T d T0, T T0, T

[0035] T0, T K T0, T

[0036] According to the above technical scheme, in step S4, the identity marker is any one of a work card, a work uniform, a safety helmet, and a chest badge, and the neural network method is an existing algorithm, which will not be described in detail here.

[0037] According to the above technical scheme, in steps S2-S4, the comparison result of the data comparison unit is a set B={0, 1}, where 0 indicates that the collected real-time temperature data is in a safe range, and 1 indicates that the collected real-time temperature data is in a dangerous range; the data processing result of the data processing unit is a set C={0, 1, W}, where set C indicates whether the N-1th temperature data is incorrect, 0 indicates that the temperature data is correct, 1 indicates that the temperature data is incorrect, and W indicates the highest dangerous degree of exceeding the temperature safety range; and the environmental monitoring result is represented by a set D={0, 1, 2}, where 0 indicates that no one is present in the working environment of the power driving chip, 2 indicates that the corresponding worker is present in the working environment of the power driving chip, and 3 indicates that someone is present in the working environment of the power driving chip but is not a worker.

[0038] When B=1, C=0, and D=0, the system will preferentially adopt remote alarm, information notification, monitoring room alarm warning, and start playing the correct first aid scheme and protection measures for warning and reminding.

[0039] When B=1, C=0 and D=1, the system will preferentially adopt the field warning light flashing, the buzzer warning, the voice warning prewarning chip correct position warning and reminding;

[0040] When B=1, C=0 and D=3, the system will preferentially adopt the field warning light flashing, the buzzer warning, the remote alarm, the information notification, the voice warning prewarning chip correct position and the voice first-aid measure and protection scheme warning of the highest warning and reminding of the combination of multiple ways;

[0041] When C=1, the system will retrieve the prewarning instruction;

[0042] When B=W, the environmental detection module will not work, and the system will directly adopt the highest warning scheme for prewarning and reminding.

[0043] Through the above technical scheme, when the temperature of the power driving chip is detected to be abnormal, it can be judged whether the acquired temperature data is abnormal, and the optimal prewarning scheme is adopted for prewarning and reminding according to the actual situation under the current environment, so that major accidents can be avoided and losses can be reduced.

[0044] Compared with the prior art, the beneficial effects achieved by the present application are:

[0045] 1. The data conversion unit, data comparison unit and data processing unit are arranged, so that the acquired temperature data can be converted into digital signals by an analog-to-digital converter, and the converted data can be processed and analyzed twice by the data comparison unit and the data processing unit, so that the processed data is more persuasive, and temperature data errors and prewarning errors are reduced.

[0046] 2. The intelligent prewarning module is arranged, the selection and implementation of the intelligent prewarning scheme are carried out by detecting the current environment and analyzing and processing the temperature data, so that the prewarning scheme can be more effectively implemented, rescue processing can be carried out in time, major accidents can be avoided and losses can be reduced. DETAILED DESCRIPTION

[0047] The accompanying drawings are used to provide a further understanding of the present application, and constitute a part of the specification, and are used to explain the present application together with embodiments of the present application, and do not constitute a limitation of the present application. In the drawings:

[0048] Fig. 1 is a module composition structure schematic view of a temperature monitoring and prewarning system of a power driving chip of the present application;

[0049] Fig. 2 is a step flowchart schematic view of a temperature monitoring and prewarning method of a power driving chip of the present application;

[0050] Fig. 3It is a connection structure schematic view of a temperature monitoring and early warning system of a power drive chip. DETAILED DESCRIPTION

[0051] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0052] As shown in the drawings, Figs. 1-3 The present application provides the following technical solutions: a temperature monitoring and early warning system of a power drive chip, which comprises a temperature acquisition module, a temperature data processing module, an environment detection module, a main control module and an intelligent early warning module.

[0053] The temperature acquisition module is used for collecting the temperature of the power drive chip in real time to the temperature monitoring and early warning system.

[0054] The temperature data processing module is used for analyzing the collected temperature data in real time to determine whether the temperature of the collected power drive chip is abnormal.

[0055] The environment detection module is used for detecting whether there is a worker present in the current environment.

[0056] The main control module is used for intelligently controlling the temperature monitoring and early warning system.

[0057] The intelligent early warning module intelligently selects the optimal early warning scheme.

[0058] The output end of the temperature acquisition module is connected to the input end of the temperature data processing module; the output ends of the temperature data processing module and the environment detection module are connected to the input end of the main control module; and the output end of the main control module is connected to the input end of the intelligent early warning module.

[0059] According to the above technical solution, the temperature acquisition module uses a temperature sensor to obtain the temperature data of the power drive chip to realize real-time collection of temperature data. The temperature sensor is a device for measuring the cold and hot degree of an object and provides temperature measurement in a readable form through an electrical signal.

[0060] According to the above technical solution, the data processing module comprises a data conversion unit, a data comparison unit and a data processing unit.

[0061] The data conversion unit is used for converting the type of collected temperature data, and the temperature data type conversion is used for converting the type by using an analog-to-digital converter to convert an analog signal collected into a digital signal, for example, converting the current signal collected by a temperature sensor into a digital signal by using an analog-to-digital converter.

[0062] The data comparison unit is used for comparing the processed data with a temperature threshold to determine whether the data is normal, for example, comparing the processed temperature data 1000001 with the temperature threshold 1000110, and determining that the current chip is working normally and the chip temperature is in a safe range since 1000001 is less than 1000110.

[0063] The data processing unit is used for arranging and operating the collected data to determine whether the data is normal again.

[0064] The data comparison unit and the data processing unit are used for twice analyzing and processing the authenticity of the temperature, so that the temperature data processed by the data processing module is more convincing.

[0065] The output end of the data conversion unit is connected to the input end of the data comparison unit and the data processing unit.

[0066] According to the above technical solution, the environment detection module comprises an infrared sensing unit, a camera acquisition unit and an identity recognition unit.

[0067] The infrared sensing unit is used for detecting whether there is a person in the current environment, so as to detect the current environment in the first time.

[0068] The camera acquisition unit is used for acquiring images when the infrared sensing unit detects a person, and the image acquisition mainly uses a camera to quickly take a photo of the current environment.

[0069] The identity recognition unit is used for analyzing the collected images and recognizing whether the images are of a staff member, so as to quickly select an optimal early warning scheme, for example, quickly recognizing whether a badge is worn by using a neural network method to determine whether the collected image is of a staff member.

[0070] The output end of the infrared sensing unit is connected to the input end of the central control unit, and the output end of the camera acquisition unit is connected to the input end of the identity recognition unit.

[0071] According to the above technical solution, the main control module is composed of a plurality of central control units, which are used for intelligently controlling the whole temperature monitoring and early warning system, so that the whole system can run in an orderly manner.

[0072] According to the technical scheme, the intelligent early warning module is used for selecting and implementing an optimal early warning scheme according to the actual situation of the working environment of the power driving chip, so that the user can know the early warning situation in time, take first-aid measures quickly, and reduce losses, for example, when the temperature data of the chip collected exceeds the temperature threshold and it is detected that there is a worker in the current environment, the warning light is started to flash, the buzzer is started to alarm, and the position of the abnormal chip is reminded in time.

[0073] A temperature monitoring and early warning method of a power driving chip, the temperature monitoring and early warning method of the chip comprising the following steps:

[0074] S1: real-time data of the temperature of the chip acquired by a temperature sensor is transmitted in real time;

[0075] S2: the temperature data collected is processed by a data conversion unit in real time, and the converted data is transmitted to a data comparison unit; the real-time temperature data collected is compared with a temperature threshold by the data comparison unit, and the judgment result is transmitted to a central control unit;

[0076] S3: the collected data is analyzed and processed by a data processing unit to determine whether the temperature data collected is incorrect and the degree of danger of exceeding the temperature safety range, and the processing result is transmitted to the central control unit;

[0077] S4: the presence of a person in the working environment of the power driving chip is detected by an infrared sensing unit, and the detection result is transmitted to the central control unit; the image information of the person is collected by a camera collecting unit, and the collected information is transmitted to an identity recognition unit in real time, whether the person is a worker is determined by recognizing the identity marker, and the determination result is transmitted to the central control unit;

[0078] S5: according to the comparison of the real-time temperature in S2, the correctness of the temperature data in S3 and the degree of danger of exceeding the temperature safety range, and the actual situation of the working environment of the power driving chip in S4, an optimal early warning scheme is selected and implemented.

[0079] According to the technical scheme, the data conversion unit in step S3 stores the real-time temperature collected when the power driving chip is working, and forms a set T={T1, T2, T3, T4, …, TN}, TS={TN-2, TN-1, TN}, wherein T1, T2, T3, T4, …, TN represent N times of real-time collected temperature data, and the set TS is used to store the temperature data collected for the N-2th, N-1th and Nth times, and simultaneously forms a set T K ={T N-2 -T0, T N-1 -T0, T NT0, wherein Tn-2, Tn-1, Tn represents the temperature difference between the N-2th, N-1th, Nth adjacent two times, T N-2 T0, T N-1 T0, T N T0 represents the difference between the N-2th, N-1th, Nth and the temperature threshold T0;

[0080] According to the temperature difference between the N-2th, N-1th, Nth adjacent two times, whether the temperature acquired in the N-1th time is accurate is judged by the set T d In the middle All greater than the maximum error a, then the temperature data collected in the N-1th time is proved to be wrong, such as the N-2th, N-1th, Nth temperature data TS={60, 90, 61} collected, then T d ={30, -29}, then 30, 29 respectively are greater than the maximum error d=9, it is judged that the N-1th magnetic data collection is wrong;

[0081] According to the difference between the N-2th, N-1th, Nth and the temperature threshold, the degree of danger of exceeding the temperature safety range is judged; when the data in the set TS are all greater than the temperature threshold T0 and the data in the set T K The percentage of the data greater than the maximum dangerous temperature difference β exceeds μ, then it is judged that the highest dangerous degree has been reached, such as the N-2th, N-1th, Nth temperature data TS={79, 80, 85} collected, the difference T K ={9, 10, 15} between the N-2th, N-1th, Nth and the temperature threshold T0, the data in the set TS are compared with the temperature threshold T0=70, it is judged that the set TS is greater than the temperature threshold T0=70, at the same time, the values in the set T K The percentage of the data greater than the maximum dangerous temperature difference β is 100% and compared with μ=60%, it is judged that the collected temperature data has reached the maximum dangerous degree.

[0082] According to the above technical scheme, in step S4, the identity marker is recognized based on a neural network method and whether it is a staff member is judged, the identity marker is any one of a badge, a work uniform, a safety helmet and a chest badge, and the neural network method is an existing algorithm, which will not be described in detail here.

[0083] According to the above technical solution, in steps S2-S4, the comparison result of the data comparison unit is set B={0, 1}, wherein 0 represents that the collected real-time temperature data is in a safe range, and 1 represents that the collected real-time temperature data is in a dangerous range; the data processing result of the data processing unit is set C={0, 1, W}, wherein set C represents whether the N-1th temperature data is incorrect, 0 represents that the temperature data is correct, 1 represents that the temperature data is incorrect, and W represents the highest danger degree exceeding the temperature safety range; the environmental monitoring result is represented by set D={0, 1, 2}, wherein 0 represents that there is no person in the working environment of the power driving chip, 2 represents that there is corresponding staff in the working environment of the power driving chip, and 3 represents that there is a person in the working environment of the power driving chip but not staff;

[0084] When B=1, C=0, and D=0, the system will preferentially adopt remote alarm, information notification, monitoring room alarm warning, and start playing the correct first aid scheme and protection measures for warning and reminding;

[0085] When B=1, C=0, and D=1, the system will preferentially adopt on-site warning light flashing, buzzer warning, and voice warning chip correct position warning and reminding;

[0086] When B=1, C=0, and D=3, the system will preferentially adopt on-site warning light flashing, buzzer warning, remote alarm, information notification, voice warning chip correct position warning, and voice first aid measures and protection scheme warning in combination of multiple ways;

[0087] When C=1, the system will retrieve the warning instruction;

[0088] When B=W, the environmental detection module will not work, and the system will directly adopt the highest warning scheme for warning and reminding.

[0089] Through the above technical solution, when the temperature of the power driving chip is detected to be abnormal, it can be quickly judged whether the obtained temperature data is abnormal, and the optimal warning scheme is adopted for warning and reminding according to the actual situation under the current environment, so as to avoid major accidents and reduce losses.

[0090] Embodiment:

[0091] The temperature acquisition module transmits the measured chip temperature to the temperature monitoring and warning system in real time by using a temperature sensor.

[0092] The data processing module comprises a data conversion unit, a data comparison unit and a data processing unit; the data conversion unit is used for converting the temperature analog signal collected by the sensor into a digital signal 1001011 through an analog-digital converter; the data comparison unit is used for comparing the collected temperature data 1001011 with a temperature threshold 1000110; if 1001011 is greater than the temperature threshold 1000110, it is judged that the temperature data is abnormal, and the temperature data abnormality signal is rapidly transmitted to the central control unit;

[0093] The data processing unit is used for storing the real-time temperature collected when the power driving chip is working, and forming a set T={60, 61, 61, 63, …, 62}; the N-2th, N-1th and Nth temperature data collected are stored in a set TS={60, 80, 83} and a new set T d ={20, 3} is formed to represent the temperature difference of the N-2th, N-1th and Nth adjacent two times, and the data 20 in the set T d is greater than the maximum error a=9, and 3 is less than the maximum error a=9, it is judged that the collected temperature data is correct; meanwhile, the set TS={60, 80, 83} is compared with a temperature threshold T0=70, and it is judged that the highest risk degree is not reached since there is a value 60 in the set TS which is less than the temperature threshold T0=70, and the signal judged by the data processing unit is rapidly transmitted to the central control unit.

[0094] The environment detection module rapidly transmits the judgment result to the central control unit when receiving the signal sent by the central control unit.

[0095] The intelligent early warning module intelligently selects remote alarm, remote information sending and controlling the monitoring room to send an alarm and play a correct first-aid scheme and protective measures according to the signal obtained by the central processing unit, and notifies personnel to quickly handle and evacuate.

[0096] It should be noted that, in this document, the relationship terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms “include”, “contain” or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0097] Finally, it should be noted that the above only describes the preferred embodiments of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art will appreciate that the technical solutions described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalent ones. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A temperature monitoring and early warning method of a power drive chip, comprising the following steps: S1: acquiring real-time data of the chip temperature by using a temperature sensor and transmitting the temperature data in real time; S2: performing real-time conversion processing on the collected temperature data by using a data conversion unit, transmitting the converted data to a data comparison unit, comparing the collected real-time temperature data with a temperature threshold by using the data comparison unit, and transmitting the judgment result to a central control unit; S3: analyzing and processing the collected data by using a data processing unit to determine whether the collected temperature data is normal and the degree of danger of exceeding the temperature safety range, and transmitting the processing result to the central control unit; S4: rapidly detecting the presence of people in the working environment of the power drive chip by using an infrared sensing unit, and transmitting the detection condition to the central control unit; rapidly collecting image information of the person by using a camera collecting unit, and rapidly transmitting the collected information to an identity recognition unit to determine whether it is a staff member by recognizing the identity marker, and transmitting the judgment condition to the central control unit; S5: selecting and implementing the optimal early warning scheme according to the comparison of the real-time temperature in S2, the correctness of the temperature data, the degree of danger of exceeding the temperature safety range, and the actual situation of the working environment of the power drive chip in S4. 2.The temperature monitoring and early warning method of a power driving chip according to claim 1, characterized in that: The data conversion unit in step S3 stores the real-time temperature collected when the power driving chip is working and forms a set T={T1, T2, T3, T4, …, T N} S ={ T N-2 , T N-1 , T N}, wherein T1, T2, T3, T4, …, T N represent the N times of real-time collected temperature data, and the set T S is used to store the temperature data collected for the N-2th, N-1th and Nth times, and simultaneously forms a set wherein , represents the difference of the temperature of the N-2th, N-1th, Nth adjacent two times, represents the difference of the temperature of the N-2th, N-1th, Nth and the temperature threshold value ; According to the temperature difference of the N-2th, N-1th and Nth adjacent times, it is judged whether the temperature acquired in the N-1th time is accurate; when the temperature difference of the N-2th, N-1th and Nth adjacent times are all greater than the maximum error α, it is proved that the temperature data acquired in the N-1th time is wrong In the present application , ​ According to the difference between the N-2th, N-1th, Nth and temperature threshold value, the dangerous degree exceeding the temperature safety range is determined; when the data in set T S are all greater than the temperature threshold value T0 and the data in set is greater than the percentage of the maximum dangerous temperature difference β exceeding μ, it is determined that the highest dangerous degree has been reached. 3.The temperature monitoring and early warning method of a power driving chip according to claim 1, characterized in that: In step S4, the identity marker recognition and determination of whether it is a staff member are based on a neural network method, and the identity marker is any one of a badge, a work uniform, a safety helmet, and a chest badge.

4. The temperature monitoring and early warning method of a power driving chip according to claim 1, characterized in that: In steps S2-S4, the comparison result of the data comparison unit is a set B={0,1}, where 0 indicates that the collected real-time temperature data is in a safe range, and 1 indicates that the collected real-time temperature data is in a dangerous range; the data processing result of the data processing unit is a set C={0,1,W}, where the set C indicates whether the N-1th temperature data is incorrect, 0 indicates that the temperature data is correct, 1 indicates that the temperature data is incorrect, and W indicates the highest degree of danger of exceeding the temperature safety range; and the environmental monitoring result is represented by a set D={0,1,2}, where 0 indicates that there is no one in the working environment of the power drive chip, 2 indicates that there is a corresponding staff member in the working environment of the power drive chip, and 3 indicates that there is a person in the working environment of the power drive chip but not a staff member; When B=1, C=0, and D=0, the system will preferentially adopt remote alarm, information notification, monitoring room alarm, and start playing the correct first aid scheme and protection measures for early warning and reminding; When B=1, C=0, and D=1, the system will preferentially adopt on-site warning light flashing, buzzer warning, and voice reminding of the correct position of the warning chip for early warning and reminding; When B=1, C=0, and D=3, the system will preferentially adopt a combination of the highest early warning and reminding of multiple ways such as on-site warning light flashing, buzzer warning, remote alarm, information notification, voice reminding of the correct position of the warning chip, and voice first aid measures and protection scheme; When C=1, the system will recall the early warning instruction. When B = W, the environmental detection module will not work, and the system will directly adopt the highest warning scheme for warning reminder.

5. The temperature monitoring and early warning system of the power drive chip is applied to the temperature monitoring and early warning method of one of claims 1-4, characterized in that: The temperature monitoring and warning system comprises a temperature collection module, a temperature data processing module, an environmental detection module, a main control module and an intelligent warning module. The temperature collection module is used for collecting the temperature of the power driving chip in real time to the temperature monitoring and warning system. The temperature data processing module is used for analyzing the collected temperature data in real time to determine whether the temperature of the collected power driving chip is abnormal. The environmental detection module is used for detecting whether there is a staff present in the current environment. The main control module is used for intelligently controlling the temperature monitoring and warning system. The intelligent warning module intelligently selects the optimal warning scheme. The output end of the temperature collection module is connected to the input end of the temperature data processing module.

6. The temperature monitoring and warning system of power driver chip according to claim 5, characterized in that: The temperature data processing module and the environmental detection module are connected to the input end of the main control module.

7. The temperature monitoring and warning system of power driver chip according to claim 6, characterized in that: The output end of the main control module is connected to the input end of the intelligent warning module. The temperature collection module uses a temperature sensor to obtain the temperature data of the power driving chip to realize real-time collection of temperature data. The data processing module comprises a data conversion unit, a data comparison unit and a data processing unit. The data conversion unit is used for converting the type of the collected temperature data. The data comparison unit is used for comparing the processed data with a temperature threshold to determine whether the data is normal.

8. The temperature monitoring and warning system of power driver chip according to claim 7, characterized in that: The data processing unit is used for collating and operating the collected data to determine whether the data is normal again. The output end of the data conversion unit is connected to the input end of the data comparison unit and the data processing unit. The environmental detection module comprises an infrared sensing unit, a camera collection unit and an identity recognition unit. The infrared sensing unit is used for detecting whether there is a person present in the current environment. The camera collection unit is used for image collection when the infrared sensing unit detects a person.

9. The temperature monitoring and warning system of power driver chip according to claim 8, characterized in that: The identity recognition unit is used for data analysis and recognition of the collected image to determine whether it is a staff.

10. The temperature monitoring and warning system of power driver ICs as claimed in claim 8 wherein: The output end of the infrared sensing unit is connected to the input end of the central control unit. The output end of the camera collection unit is connected to the input end of the identity recognition unit. The main control module is composed of a plurality of central control units and is used for intelligently controlling the entire temperature monitoring and warning system. The intelligent warning module is used for selecting and implementing the optimal warning scheme according to the actual situation of the working environment of the power driving chip.

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