Monitoring system and method for new energy station, medium and equipment

Abstract

The invention relates to a monitoring system and method for a new energy station, a medium and equipment, and the system comprises a data monitoring module which is used for collecting the current health state information of a target operation and maintenance worker in the new energy station in real time, and the current environment information of an area where the target operation and maintenance worker is located; the monitoring platform is used for determining a target operation type corresponding to a target operation task currently executed by the target operation and maintenance personnel, determining an environment matching degree according to the target operation type and the current environment information, determining a health state matching degree according to the target operation type and the current health state information, and sending the health state matching degree to the target operation and maintenance personnel; if it is determined that the work scheduling information of the target operation and maintenance personnel needs to be adjusted according to the environment matching degree and the health state matching degree, prompt information is sent to terminal equipment used by the target operation and maintenance personnel; and the terminal equipment is used for receiving and outputting the prompt information. According to the technical scheme, the operation scheduling can be optimized, the operation safety of operation and maintenance personnel is improved, and the operation risk is reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of safety monitoring technology, and in particular, to a monitoring system, method, medium and equipment for a new energy station. Background Art

[0002] With the rapid development of the new energy industry, the operation and maintenance of new energy sites such as wind power stations and photovoltaic power stations are becoming increasingly important. Taking wind power stations as an example, the scale and coverage of wind turbine equipment are constantly expanding, and wind turbine equipment is mostly built in remote locations. When performing maintenance and inspection tasks, operation and maintenance personnel often face multiple risk conditions such as high-altitude operations, electrical risks, and severe weather. Therefore, how to improve the operation safety of operation and maintenance personnel is an urgent problem to be solved. Summary of the invention

[0003] The purpose of the present disclosure is to provide a monitoring system, method, medium and equipment for new energy stations, which can improve the operational safety of operation and maintenance personnel and reduce operational risks.

[0004] In order to achieve the above objectives, in a first aspect, the present disclosure provides a monitoring system for a new energy station, the system comprising: The data monitoring module is used to collect the current health status information of the target operation and maintenance personnel in the new energy station in real time, as well as the current environmental information of the area where the target operation and maintenance personnel are located, and send the current environmental information and the current health status information to the monitoring platform; The monitoring platform is used to determine the target operation type corresponding to the target operation task currently performed by the target operation and maintenance personnel, and determine the degree of environment matching according to the target operation type and the current environment information, and determine the degree of health status matching according to the target operation type and the current health status information, and if it is determined that the operation scheduling information of the target operation and maintenance personnel needs to be adjusted according to the degree of environment matching and the degree of health status matching, then send a prompt message to the terminal device used by the target operation and maintenance personnel, wherein the degree of environment matching is used to characterize the suitability of the target operation and maintenance personnel to perform the target operation task in the current environment, and the degree of health status matching is used to characterize the suitability of the target operation and maintenance personnel to perform the target operation task in the current health state; The terminal device is used to receive and output the prompt information.

[0005] In a second aspect, the present disclosure provides a monitoring method for a new energy station, the method comprising: Acquire the current health status information of the target operation and maintenance personnel in the new energy station collected in real time, as well as the current environmental information of the area where the target operation and maintenance personnel are located; Determine the target operation type corresponding to the target operation task currently performed by the target operation and maintenance personnel; Determine the degree of environmental matching according to the target operation type and the current environment information, and determine the degree of health status matching according to the target operation type and the current health status information, wherein the degree of environmental matching is used to characterize the degree of suitability of the target operation and maintenance personnel to perform the target operation task in the current environment, and the degree of health status matching is used to characterize the degree of suitability of the target operation and maintenance personnel to perform the target operation task in the current health state; If it is determined that the work schedule information of the target operation and maintenance personnel needs to be adjusted based on the environment matching degree and the health status matching degree, a prompt message is sent to the terminal device used by the target operation and maintenance personnel, so that the prompt message is received and output by the terminal device.

[0006] In a third aspect, the present disclosure provides a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the monitoring method for new energy stations provided in the second aspect of the present disclosure.

[0007] In a fourth aspect, the present disclosure provides an electronic device, including: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of the monitoring method for new energy stations provided in the second aspect of the present disclosure.

[0008] Through the above technical solution, considering that different types of work tasks may have different requirements for the environment and the health status of the operation and maintenance personnel, the degree of environmental matching is determined according to the target work type and the current environmental information, and the degree of health status matching is determined according to the target work type and the current health status information, so that the obtained degree of environmental matching and health status matching are adapted to the target work type, more accurate, and improve the accuracy of monitoring whether the target operation and maintenance personnel are suitable for performing the target work tasks. If it is determined that the job scheduling information of the target operation and maintenance personnel needs to be adjusted based on the degree of environmental matching and the degree of health status matching, it can be indicated that the target operation and maintenance personnel are currently not suitable for performing the target work tasks, and the target operation and maintenance personnel can be reminded to suspend the work tasks in time. In this way, the job scheduling can be optimized, the operation safety of the operation and maintenance personnel can be improved, and the operation risks can be reduced.

[0009] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 It is a block diagram of a monitoring system for a new energy station according to an exemplary embodiment.

[0011] Figure 2 The present invention is a flow chart of a monitoring method for a new energy station according to an exemplary embodiment.

[0012] Figure 3 It is a block diagram of an electronic device according to an exemplary embodiment.

[0013] Figure 4 It is a block diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0014] The specific implementation of the present disclosure is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the present disclosure, and is not used to limit the present disclosure.

[0015] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.

[0016] Figure 1 is a block diagram of a monitoring system for a new energy station according to an exemplary embodiment. Figure 1 As shown, the monitoring system 10 may include a data monitoring module 11, a monitoring platform 12 and a terminal device 13. The data monitoring module 11 is communicatively coupled with the monitoring platform 12, and the two may communicate in any manner such as 4G, 5G, and an optical fiber ring network, and the monitoring platform 12 is communicatively coupled with the terminal device 13, and the two may communicate in any manner such as 4G, 5G, and the like.

[0017] The data monitoring module 11 is used to collect the current health status information of the target operation and maintenance personnel in the new energy station and the current environmental information of the area where the target operation and maintenance personnel are located in real time, and send the current environmental information and current health status information to the monitoring platform 12.

[0018] The target operation and maintenance personnel may be any operation and maintenance personnel currently performing work tasks in the new energy station. The current health status information includes the target operation and maintenance personnel's current heart rate, blood pressure, blood oxygen saturation, emotional state information, fatigue state information, and motion posture information. The current environmental information may include the current temperature, humidity, air pressure, wind speed, and wind direction of the target operation and maintenance personnel's area. The target operation and maintenance personnel's area may be an area of ​​space where the distance to the target operation and maintenance personnel is less than a distance threshold, and the distance threshold may be preset.

[0019] The data monitoring module 11 may include a health status monitoring unit, which may include a work recorder and an intelligent monitoring device worn by the target operation and maintenance personnel. The intelligent monitoring device can collect the current heart rate, blood pressure, and blood oxygen saturation of the target operation and maintenance personnel in real time. The intelligent monitoring device is, for example, a smart bracelet and a smart helmet. The work recorder can collect the motion posture information of the target operation and maintenance personnel, and can also collect the voice information spoken by the target operation and maintenance personnel in real time, and can obtain the emotional state information and fatigue state information of the target operation and maintenance personnel based on the voice information and motion posture information. For example, the emotional state information and fatigue state information can be determined based on the keywords and intonation in the voice information and the flexibility of the motion posture information. The emotional state information is used to characterize whether the target operation and maintenance personnel are in positive or negative emotions, and the fatigue state information is used to characterize whether the target operation and maintenance personnel are in a fatigue state, and the degree of fatigue of the target operation and maintenance personnel when they are in a fatigue state.

[0020] The data monitoring module 11 may include an environmental monitoring unit set up in the new energy station. The environmental monitoring unit may include, for example, an anemometer, a wind measuring tower, an environmental weather station, etc. The anemometer can collect the wind speed in the area where the target operation and maintenance personnel are located, the wind measuring tower can collect the wind direction, and the environmental weather station can collect temperature, humidity, and air pressure.

[0021] The monitoring platform 12 is used to determine the target job type corresponding to the target job task currently performed by the target operation and maintenance personnel, and determine the degree of environment matching based on the target job type and current environment information, and determine the degree of health status matching based on the target job type and current health status information. If it is determined that the job scheduling information of the target operation and maintenance personnel needs to be adjusted based on the environment matching degree and the health status matching degree, a prompt message is sent to the terminal device 13 used by the target operation and maintenance personnel.

[0022] The terminal device 13 is used to receive and output prompt information.

[0023] Among them, the environmental matching degree is used to characterize the suitability of the target operation and maintenance personnel to perform the target operation tasks in the current environment, and the health status matching degree is used to characterize the suitability of the target operation and maintenance personnel to perform the target operation tasks in the current health status.

[0024] For example, the monitoring platform 12 is used to determine the target operation type according to the correspondence between the preset operation tasks and the operation type and the target operation tasks currently performed by the target operation and maintenance personnel. Among them, there are many different operation tasks in the new energy station, such as equipment maintenance, inspection, ground construction, safety management, etc. Different types of operation tasks may have different requirements for the environment and the health status of the operation and maintenance personnel. For example, for the operation tasks of the wind turbine maintenance class, due to the high height of the wind turbine, in order to ensure the safety of the operation and maintenance personnel responsible for the wind turbine maintenance, the wind speed needs to be as low as possible, and the fatigue state requirements for the operation and maintenance personnel are also high. Therefore, the operation tasks with similar environmental requirements and similar health requirements for the operation and maintenance personnel can be classified into one category, and the operation tasks are pre-divided into multiple operation types, such as maintenance, construction, etc., and the correspondence between the operation tasks and the operation types is pre-stored in the monitoring platform 12. The monitoring platform 12 searches for the correspondence according to the target operation task and can determine the corresponding target operation type.

[0025] In the present disclosure, taking into account that different job types may have different requirements for the environment and the health status of operation and maintenance personnel, the degree of environment matching and the degree of health status matching are determined according to the target job type, so that the obtained degree of environment matching and health status matching are adapted to the target job type, thereby improving the accuracy of monitoring whether the target operation and maintenance personnel are suitable for performing the target job tasks.

[0026] If the monitoring platform 12 determines that the work schedule information of the target operation and maintenance personnel needs to be adjusted, it can send a prompt message to the terminal device 13 used by the target operation and maintenance personnel. For example, the terminal device 13 can be at least one of the following: a mobile phone, a wristband, a smart watch, a smart helmet, and the above-mentioned health status monitoring unit can also be used as the terminal device 13. For example, the terminal device 13 can display the prompt message on the screen, or play the prompt message through a speaker in the form of voice.

[0027] Through the above technical solution, considering that different types of work tasks may have different requirements for the environment and the health status of the operation and maintenance personnel, the degree of environmental matching is determined according to the target work type and the current environmental information, and the degree of health status matching is determined according to the target work type and the current health status information, so that the obtained degree of environmental matching and health status matching are adapted to the target work type, more accurate, and improve the accuracy of monitoring whether the target operation and maintenance personnel are suitable for performing the target work tasks. If it is determined that the job scheduling information of the target operation and maintenance personnel needs to be adjusted based on the degree of environmental matching and the degree of health status matching, it can be indicated that the target operation and maintenance personnel are currently not suitable for performing the target work tasks, and the target operation and maintenance personnel can be reminded to suspend the work tasks in time. In this way, the job scheduling can be optimized, the operation safety of the operation and maintenance personnel can be improved, and the operation risks can be reduced.

[0028] In one embodiment, the monitoring platform 12 stores pre-trained environment monitoring models corresponding to each operation type and health status monitoring models corresponding to each operation type.

[0029] Among them, the environmental monitoring model corresponding to the job type is trained in the following way: The historical environmental information is used as the input of the first neural network model, and the matching degree corresponding to the pre-labeled historical environmental information is used as the output of the first neural network model. The first neural network model is trained, and when the training is completed, an environmental monitoring model corresponding to the job type is obtained.

[0030] Among them, for each job type, the environmental monitoring model corresponding to the job type can be pre-trained. The historical environmental information includes the environmental information of the area where the operation and maintenance personnel performed the job tasks corresponding to the job type in the first historical period. The first historical period can be a period of the past month or a week. The job type can correspond to one or more job tasks, and the operation and maintenance personnel can be any operation and maintenance personnel who performed the job task in the first historical period. The historical environmental information may include the temperature, humidity, air pressure, wind speed, and wind direction of the area where the operation and maintenance personnel performed the job tasks corresponding to the job type in the first historical period. The matching degree corresponding to the pre-annotated historical environmental information can be manually annotated data. It should be noted that the historical environmental information and the corresponding matching degree can be used as the input and output pairs used by the training model, and multiple input and output pairs can be constructed as training data for the first neural network model. The more the number of input and output pairs, the more sufficient the model training, and the more accurate the environmental monitoring model obtained. The present disclosure does not limit the structure of the first neural network model, and it can be set as needed.

[0031] The health status monitoring model corresponding to the job type is trained in the following way: The historical health status information is used as the input of the second neural network model, and the matching degree corresponding to the pre-labeled historical health status information is used as the output of the second neural network model. The second neural network model is trained, and when the training is completed, a health status monitoring model corresponding to the job type is obtained.

[0032] Among them, for each job type, a health status monitoring model corresponding to the job type can be pre-trained. The historical health status information includes the health status information of the operation and maintenance personnel when performing the job tasks corresponding to the job type in the second historical period. The second historical period can be a period of the past month or a week. The first historical period and the second historical period can be the same or different. The historical health status information may include the heart rate, blood pressure, blood oxygen saturation, emotional state information, fatigue state information and movement posture information when the operation and maintenance personnel perform the job tasks corresponding to the job type in the second historical period. The matching degree corresponding to the pre-annotated historical health status information can be manually annotated data. It should be noted that the historical health status information and the corresponding matching degree can be used as the input-output pair used by the training model, and multiple input-output pairs can be constructed as training data for the second neural network model. The present disclosure does not limit the structure of the second neural network model, and it can be set as needed.

[0033] In the present disclosure, the monitoring platform 12 is used to perform principal component analysis on the current environmental information to obtain current environmental characteristic information, and input the current environmental characteristic information into the environmental monitoring model corresponding to the target operation type to obtain the environmental matching degree output by the environmental monitoring model corresponding to the target operation type.

[0034] The monitoring platform 12 is used to perform principal component analysis on the current health status information to obtain the current health status characteristic information, and input the current health status characteristic information into the health status monitoring model corresponding to the target operation type to obtain the health status matching degree output by the health status monitoring model corresponding to the target operation type.

[0035] Among them, the principal component analysis (PCA) algorithm is a data preprocessing algorithm that can reduce the dimensionality of various information and improve the data processing speed.

[0036] Through the above technical scheme, taking into account that the requirements of different types of work tasks on the environment and the health status of operation and maintenance personnel may be different, for each type of work, the environmental monitoring model and health status monitoring model corresponding to the work type can be pre-trained, which can improve the accuracy of the corresponding environmental monitoring model and health status monitoring model, so that the environmental matching degree and health status matching degree of the model output are adapted to the target job type and more accurate, thereby improving the accuracy of monitoring whether the target operation and maintenance personnel are suitable for performing the target job tasks.

[0037] In one embodiment, in addition to obtaining the environmental matching degree and the health status matching degree through a pre-trained model, the environmental matching degree and the health status matching degree may also be determined through a Gaussian Mixture Model (GMM) algorithm and a Kernel Density Estimation (KDE) algorithm.

[0038] In this embodiment, the similarity between the current health status information and the normal health status information corresponding to the pre-calibrated target operation type can be determined by a Gaussian mixture clustering algorithm, and the similarity between the current health status information and the normal health status information corresponding to the pre-calibrated target operation type can be determined by a kernel density estimation algorithm, for example, the mean of the two similarities is used as the degree of health status matching. Among them, the normal health status information includes the health status information when the operation and maintenance personnel are in a normal physical health state when performing the operation task. The similarity between the current environmental information and the normal environmental information corresponding to the pre-calibrated target operation type can be determined by a Gaussian mixture clustering algorithm, and the similarity between the current environmental information and the normal environmental information corresponding to the pre-calibrated target operation type can be determined by a kernel density estimation algorithm, for example, the mean of the two similarities is used as the degree of environmental matching. Among them, the normal environmental information includes the environmental information when the environment of the area where the operation and maintenance personnel are located when performing the operation task is normal.

[0039] In the present disclosure, the monitoring platform 12 is used to obtain the environmental prediction information of the area where the target operation and maintenance personnel will be located in the future period if the environmental matching degree is less than the first preset threshold and the health status matching degree is greater than or equal to the second preset threshold, determine the target operation time according to the environmental prediction information, and send a prompt information to the terminal device 13 to prompt the adjustment of the operation scheduling time.

[0040] Among them, the health status matching degree is greater than or equal to the second preset threshold value, indicating that the current health status of the target operation and maintenance personnel is suitable for performing the target operation task, but the environmental matching degree is less than the first preset threshold value, indicating that the current environment is not suitable for performing the target operation task. The environment may be relatively bad due to reasons such as excessive wind speed or excessive temperature. It is dangerous to perform the target operation task in the current environment. The environmental prediction information of the area where the target operation and maintenance personnel are located in the future period can be obtained. The environmental prediction information may include the temperature, humidity, air pressure, wind speed, and wind direction of the area where the target operation and maintenance personnel are located in the future period. Among them, the meteorological monitoring station of the new energy station can predict the environmental information and send it to the monitoring platform 12. The future period can include the next half hour, the next hour, etc. For example, if the environmental matching degree obtained according to the environmental prediction information of the next half hour is greater than or equal to the first preset threshold value, the target operation time can be a time point in the next half hour, and the prompt information sent to the terminal 13 can include the target operation time.

[0041] In the present disclosure, the monitoring platform 12 is used to send a prompt message to the terminal device to prompt the need to suspend the operation if the environment matching degree is greater than or equal to a first preset threshold and the health status matching degree is less than a second preset threshold.

[0042] Among them, if the degree of environmental matching is greater than or equal to the first preset threshold, it means that the current environment is suitable for executing the target operation task, but if the degree of health status matching is less than the second preset threshold, it means that the physical health of the target operation and maintenance personnel is not good and is not suitable for executing the target operation task. In order to reduce the operation risk and improve the operation safety, a prompt message can be sent to the terminal device 13 to prompt the need to suspend the operation.

[0043] If the environmental matching degree is greater than or equal to the first preset threshold and the health status matching degree is greater than or equal to the second preset threshold, a prompt message is sent to the terminal device to prompt the user to continue the operation. If the environmental matching degree is less than the first preset threshold and the health status matching degree is less than the second preset threshold, an early warning message is sent to the terminal device to remind the target operation and maintenance personnel that the current environment and health status are not suitable for performing the operation task and the operation needs to be suspended in time.

[0044] Through the above technical solution, if it is determined that the target operation and maintenance personnel's job scheduling information needs to be adjusted based on the degree of environmental matching and the degree of health status matching, it can be indicated that the target operation and maintenance personnel are currently not suitable for performing the target operation task, and the target operation and maintenance personnel can be reminded to suspend the operation task in time. In this way, the job scheduling can be optimized, the operation safety of the operation and maintenance personnel can be improved, and the operation risk can be reduced.

[0045] Based on the same inventive concept, the present disclosure also provides a monitoring method for a new energy station. Figure 2 is a flow chart of a monitoring method for a new energy station according to an exemplary embodiment. The method can be applied to a monitoring platform, such as Figure 2 As shown, the method may include steps 21 to 24.

[0046] In step 21, the current health status information of the target operation and maintenance personnel in the new energy station and the current environmental information of the area where the target operation and maintenance personnel are located are acquired in real time.

[0047] In step 22, the target operation type corresponding to the target operation task currently performed by the target operation and maintenance personnel is determined.

[0048] In step 23, the environment matching degree is determined according to the target operation type and the current environment information, and the health status matching degree is determined according to the target operation type and the current health status information. The environment matching degree is used to characterize the suitability of the target operation personnel to perform the target operation task in the current environment, and the health status matching degree is used to characterize the suitability of the target operation personnel to perform the target operation task in the current health state; In step 24, if it is determined that the target operation and maintenance personnel's work schedule information needs to be adjusted based on the environment matching degree and the health status matching degree, a prompt message is sent to the terminal device used by the target operation and maintenance personnel, so that the terminal device receives and outputs the prompt message.

[0049] Optionally, the determining the target operation type corresponding to the target operation task currently performed by the target operation and maintenance personnel includes: The target operation type is determined according to the correspondence between the preset operation task and the operation type and the target operation task currently performed by the target operation and maintenance personnel.

[0050] Optionally, determining the degree of environmental matching according to the target job type and the current environmental information includes: Performing principal component analysis on the current environment information to obtain current environment characteristic information; Inputting the current environmental feature information into the environmental monitoring model corresponding to the target operation type to obtain the environmental matching degree output by the environmental monitoring model corresponding to the target operation type; The determining the health status matching degree according to the target job type and the current health status information includes: Performing principal component analysis on the current health status information to obtain current health status characteristic information; The current health status characteristic information is input into a health status monitoring model corresponding to the target job type to obtain the health status matching degree output by the health status monitoring model corresponding to the target job type.

[0051] Optionally, the environment monitoring model corresponding to the operation type is trained in the following manner: Taking historical environmental information as input of a first neural network model, taking the matching degree corresponding to the pre-marked historical environmental information as output of the first neural network model, training the first neural network model, and obtaining the environmental monitoring model corresponding to the operation type when the training is completed, wherein the historical environmental information includes environmental information of the area where the operation and maintenance personnel performed the operation task corresponding to the operation type in the first historical period; The health status monitoring model corresponding to the job type is trained in the following way: The historical health status information is used as the input of the second neural network model, and the matching degree corresponding to the pre-labeled historical health status information is used as the output of the second neural network model. The second neural network model is trained, and when the training is completed, the health status monitoring model corresponding to the job type is obtained, and the historical health status information includes the health status information when the operation and maintenance personnel perform the job task corresponding to the job type in the second historical period.

[0052] Optionally, if it is determined that the job scheduling information of the target operation and maintenance personnel needs to be adjusted according to the environment matching degree and the health status matching degree, sending a prompt message to a terminal device used by the target operation and maintenance personnel includes: If the environmental matching degree is less than a first preset threshold and the health status matching degree is greater than or equal to a second preset threshold, obtaining environmental prediction information of the area where the target operation and maintenance personnel are located in the future period; The target operation time is determined according to the environmental prediction information, and prompt information for adjusting the operation schedule is sent to the terminal device.

[0053] Optionally, if it is determined that the job scheduling information of the target operation and maintenance personnel needs to be adjusted according to the environment matching degree and the health status matching degree, sending a prompt message to a terminal device used by the target operation and maintenance personnel includes: If the environment matching degree is greater than or equal to a first preset threshold and the health status matching degree is less than a second preset threshold, a prompt message for prompting the need to suspend the operation is sent to the terminal device.

[0054] Optionally, the health status information includes heart rate, blood pressure, blood oxygen saturation, emotional state information, fatigue state information and motion posture information; Environmental information includes temperature, humidity, air pressure, wind speed, and wind direction; The terminal device is at least one of the following: a mobile phone, a bracelet, a smart watch, and a smart helmet.

[0055] Regarding the method in the above embodiment, the specific manner of executing the operation in each step has been described in detail in the embodiment of the system, and will not be elaborated here.

[0056] Figure 3 FIG. 7 is a block diagram of an electronic device 700 according to an exemplary embodiment. Figure 3As shown, the electronic device 700 may include: a processor 701 , a memory 702 . The electronic device 700 may also include one or more of a multimedia component 703 , an input / output (I / O) interface 704 , and a communication component 705 .

[0057] The processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned monitoring method for new energy stations. The memory 702 is used to store various types of data to support the operation of the electronic device 700, which may include instructions for any application or method used to operate on the electronic device 700, and application-related data, such as contact data, messages sent and received, pictures, audio, video, etc. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the other interface modules may be keyboards, mice, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited here. Therefore, the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0058] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned monitoring method for new energy stations.

[0059] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned monitoring method for a new energy station are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions can be executed by the processor 701 of the electronic device 700 to complete the above-mentioned monitoring method for a new energy station.

[0060] Figure 4 1 is a block diagram of an electronic device 1900 according to an exemplary embodiment. For example, the electronic device 1900 may be provided as a server. Figure 4 The electronic device 1900 includes a processor 1922, which may be one or more, and a memory 1932 for storing a computer program executable by the processor 1922. The computer program stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 1922 may be configured to execute the computer program to perform the above-mentioned monitoring method for a new energy station.

[0061] In addition, the electronic device 1900 may further include a power supply component 1926 and a communication component 1950, wherein the power supply component 1926 may be configured to perform power management of the electronic device 1900, and the communication component 1950 may be configured to implement communication of the electronic device 1900, for example, wired or wireless communication. In addition, the electronic device 1900 may further include an input / output (I / O) interface 1958. The electronic device 1900 may operate based on an operating system stored in the memory 1932.

[0062] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned monitoring method for a new energy station are implemented. For example, the non-transitory computer-readable storage medium can be the above-mentioned memory 1932 including program instructions, and the above-mentioned program instructions can be executed by the processor 1922 of the electronic device 1900 to complete the above-mentioned monitoring method for a new energy station.

[0063] In another exemplary embodiment, a computer program product is also provided, which includes a computer program that can be executed by a programmable device, and the computer program has a code portion for executing the above-mentioned monitoring method for a new energy station when executed by the programmable device.

[0064] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0065] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0066] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A monitoring system for a new energy station, characterized in that: The system comprises: The data monitoring module is used to collect the current health status information of the target operation and maintenance personnel in the new energy station in real time, as well as the current environmental information of the area where the target operation and maintenance personnel are located, and send the current environmental information and the current health status information to the monitoring platform; The monitoring platform is used to determine the target operation type corresponding to the target operation task currently performed by the target operation and maintenance personnel, and determine the degree of environment matching according to the target operation type and the current environment information, and determine the degree of health status matching according to the target operation type and the current health status information, and if it is determined that the operation scheduling information of the target operation and maintenance personnel needs to be adjusted according to the degree of environment matching and the degree of health status matching, then send a prompt message to the terminal device used by the target operation and maintenance personnel, wherein the degree of environment matching is used to characterize the suitability of the target operation and maintenance personnel to perform the target operation task in the current environment, and the degree of health status matching is used to characterize the suitability of the target operation and maintenance personnel to perform the target operation task in the current health state; The terminal device is used to receive and output the prompt information.

2. The system according to claim 1, characterized in that The monitoring platform is used to determine the target operation type according to the correspondence between the preset operation task and the operation type and the target operation task currently performed by the target operation and maintenance personnel.

3. The system according to claim 1, characterized in that The monitoring platform stores pre-trained environment monitoring models corresponding to each operation type and health status monitoring models corresponding to each operation type; The monitoring platform is used to perform principal component analysis on the current environmental information to obtain current environmental characteristic information, and input the current environmental characteristic information into the environmental monitoring model corresponding to the target operation type to obtain the environmental matching degree output by the environmental monitoring model corresponding to the target operation type; The monitoring platform is used to perform principal component analysis on the current health status information to obtain current health status characteristic information, and input the current health status characteristic information into the health status monitoring model corresponding to the target job type to obtain the health status matching degree output by the health status monitoring model corresponding to the target job type.

4. The system according to claim 3, characterized in that The environment monitoring model corresponding to the operation type is trained in the following way: Taking historical environmental information as input of a first neural network model, taking the matching degree corresponding to the pre-marked historical environmental information as output of the first neural network model, training the first neural network model, and obtaining the environmental monitoring model corresponding to the operation type when the training is completed, wherein the historical environmental information includes environmental information of the area where the operation and maintenance personnel performed the operation task corresponding to the operation type in the first historical period; The health status monitoring model corresponding to the job type is trained in the following way: The historical health status information is used as the input of the second neural network model, and the matching degree corresponding to the pre-labeled historical health status information is used as the output of the second neural network model. The second neural network model is trained, and when the training is completed, the health status monitoring model corresponding to the job type is obtained, and the historical health status information includes the health status information when the operation and maintenance personnel perform the job task corresponding to the job type in the second historical period.

5. The system according to claim 1, characterized in that The monitoring platform is used to obtain environmental prediction information of the area where the target operation and maintenance personnel will be located in a future period if the environmental matching degree is less than a first preset threshold and the health status matching degree is greater than or equal to a second preset threshold, determine the target operation time according to the environmental prediction information, and send prompt information to the terminal device to prompt the adjustment of the operation scheduling time.

6. The system according to claim 1, characterized in that The monitoring platform is used to send a prompt message to the terminal device to prompt the need to suspend the operation if the environment matching degree is greater than or equal to a first preset threshold and the health status matching degree is less than a second preset threshold.

7. The system according to any one of claims 1 to 6, characterized in that: Health status information includes heart rate, blood pressure, blood oxygen saturation, emotional status information, fatigue status information and movement posture information; Environmental information includes temperature, humidity, air pressure, wind speed, and wind direction; The terminal device is at least one of the following: a mobile phone, a bracelet, a smart watch, and a smart helmet.

8. A monitoring method for a new energy station, characterized in that: The method comprises: Acquire the current health status information of the target operation and maintenance personnel in the new energy station collected in real time, as well as the current environmental information of the area where the target operation and maintenance personnel are located; Determine the target operation type corresponding to the target operation task currently performed by the target operation and maintenance personnel; Determine the degree of environmental matching according to the target operation type and the current environment information, and determine the degree of health status matching according to the target operation type and the current health status information, wherein the degree of environmental matching is used to characterize the degree of suitability of the target operation and maintenance personnel to perform the target operation task in the current environment, and the degree of health status matching is used to characterize the degree of suitability of the target operation and maintenance personnel to perform the target operation task in the current health state; If it is determined that the work schedule information of the target operation and maintenance personnel needs to be adjusted based on the environment matching degree and the health status matching degree, a prompt message is sent to the terminal device used by the target operation and maintenance personnel, so that the prompt message is received and output by the terminal device.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to claim 8 are implemented.

10. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to claim 8.

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