Intelligent supervision system and method for power construction

Abstract

The invention relates to the technical field of power construction supervision processing, and particularly discloses an intelligent supervision system and method for power construction, and the system carries out the precise environment prediction of a power construction region through the arrangement of a region environment prediction and evaluation module, a site construction monitoring and judgment module and a supervision and early warning cloud platform. Through comprehensive evaluation of multi-dimensional data, the environment suitable construction value of the power construction area is obtained, so that whether the environment of the power construction area can be constructed or not is judged, safety accidents caused by the severe environment are reduced, and an accurate environment reference basis is provided for monitoring the construction condition of a power construction site; by judging the construction abnormal value of the electric power construction site and carrying out early warning prompt, the construction problem can be found and corrected in time, the correct construction direction of the electric power construction site is maintained, and therefore the overall construction quality and construction efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power construction supervision and processing, and in particular to an intelligent supervision system and method for electric power construction. Background Art

[0002] With the increasing number and complexity of power construction projects, in order to meet the requirements of construction quality and safety, real-time and accurate supervision of the power construction process is required. However, today's construction supervision technology is usually relatively one-sided, which makes it impossible to comprehensively improve construction efficiency, so that the accuracy of power construction cannot be guaranteed.

[0003] For example, the invention patent with announcement number CN103854233B announces an identification device and identification method for power safety supervision. The device includes: an information card for storing operator information; a storage card for storing forms related to on-site safety supervision; a GPS module for real-time positioning of operator position coordinates; a processor for comparing and calculating the collected operator position coordinates with the coordinates of all tower positioning points in the operation area in the form, obtaining a tower positioning point closest to the operator position, and judging whether the operator is in the operation area according to the set operation area range; an active RFID module for reading the electronic tags around the corresponding tower positioning point for storing whether the on-site operation is permitted or prohibited; and a GPRS module for uploading the on-site operation results, violation reports and accident reports of the operator in the operation area to the on-site monitoring terminal. This is conducive to solving the supervision problem of power line engineering construction and ensuring the safety of on-site personnel.

[0004] For example, the invention patent with the publication number CN1609842A discloses an intelligent monitoring method for the status of the power grounding wire at the construction site of power lines and equipment. The method steps are as follows: connect the monitoring host and computer of the system, input the SIM card number and the SIM card number of the distribution machine into the computer PC, use the computer PC for user management, perform line information maintenance, distribute task orders and write IC cards, and insert them into the field slave machine; check the status of power lines and facilities, process the grounding or disconnection status signals received by the field slave machine, and send them to the computer PC for information display and judgment. Advantages: The use of computer technology can automatically send the detection data results to the computer PC for display through the field slave machine and the system host of the system, accurately and intuitively monitor the grounding or disconnection status of power lines and facilities, save time and effort, effectively protect the life safety of construction personnel and construction equipment, and achieve the purpose of safe construction in the true sense.

[0005] Combining the above technical solutions, it is found that in the current regulatory technical solutions for power construction, the monitoring dimension is usually relatively single. However, a single factor will lead to inaccurate supervision of power construction, fail to maintain the correct construction direction of the power system, and ultimately affect the stable operation of the power system. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an intelligent supervision system and method for power construction, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The first aspect of the present invention provides an intelligent supervision system for power construction, including: a regional environmental prediction and evaluation module, which is used to make environmental predictions for the power construction area, evaluate the environmental suitability for construction value of the power construction area, and compare it with a preset environmental suitability for construction threshold. After verification, the first construction label of the power construction area is obtained and transmitted to a supervision and early warning cloud platform; an on-site construction monitoring and judgment module, which is used to monitor the construction status of the power construction site, thereby determining the construction abnormality value of the power construction site, and compare it with a preset construction abnormality threshold, thereby generating a second construction label of the power construction site and transmitting it to the supervision and early warning cloud platform; the supervision and early warning cloud platform is used to receive the first construction label of the power construction area and the second construction label of the power construction site, and make corresponding early warning prompts.

[0008] As a further solution, the verification obtains the first construction label of the power construction area, and the specific verification process is:

[0009] The environmental suitability value of the power construction area is compared with the environmental suitability threshold preset in the construction supervision database. If the environmental suitability value of the power construction area is equal to or lower than the environmental suitability threshold, the first construction label of the power construction area is defined as an abnormal environment; if the environmental suitability value of the power construction area is higher than the environmental suitability threshold, the first construction label of the power construction area is defined as a normal environment.

[0010] As a further solution, the specific process of generating the second construction label of the power construction site is as follows:

[0011] The construction anomaly value of the power construction site is compared with the construction anomaly threshold preset in the construction supervision database. If the construction anomaly value of the power construction site is higher than the construction anomaly threshold, the second construction label of the power construction site is defined as construction anomaly; if the construction anomaly value of the power construction site is equal to or lower than the construction anomaly threshold, the second construction label of the power construction site is defined as normal construction.

[0012] As a further solution, the corresponding early warning prompt is performed, and the specific early warning prompt process is:

[0013] The supervision and early warning cloud platform receives the first construction tag of the power construction area. If the first construction tag of the power construction area is an environmental abnormality, an early warning prompt is issued for the environment of the power construction area; the supervision and early warning cloud platform receives the second construction tag of the power construction site. If the second construction tag of the power construction site is a construction abnormality, an early warning prompt is issued for the construction status of the power construction site.

[0014] The second aspect of the present invention provides a method for an intelligent supervision system for power construction, including: regional environmental prediction and evaluation: performing environmental prediction on the power construction area, evaluating the environmental suitability for construction value of the power construction area, and comparing it with a preset environmental suitability for construction threshold, and obtaining a first construction label of the power construction area after verification and transmitting it to a supervision and early warning cloud platform; on-site construction monitoring and judgment: monitoring the construction conditions of the power construction site to determine the construction abnormality value of the power construction site, and comparing it with a preset construction abnormality threshold, thereby generating a second construction label of the power construction site and transmitting it to the supervision and early warning cloud platform; supervision and early warning cloud platform: receiving the first construction label of the power construction area and the second construction label of the power construction site, and issuing corresponding early warning prompts.

[0015] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0016] (1) The present invention provides an intelligent supervision system and method for power construction, which predicts the environment of the power construction area and evaluates the environmental suitability of the power construction area. It can be determined whether the environment of the power construction area meets the construction standards, and monitor the construction conditions of the power construction site to provide accurate environmental reference basis. By determining the abnormal construction values ​​of the power construction site and issuing early warning prompts, construction problems can be discovered and corrected in a timely manner, thereby improving the overall construction quality and efficiency.

[0017] (2) The present invention makes accurate environmental predictions for the power construction area and obtains the air quality index, soil stability index and temperature value. Through comprehensive evaluation of multi-dimensional data, the environmental suitability value for construction in the power construction area is obtained, and it can be determined in time whether construction can be carried out to reduce safety accidents caused by harsh environment.

[0018] (3) The present invention monitors the construction status of the power construction site where the environment is suitable for construction, obtains various construction data of the power construction site, and determines whether the construction at the power construction site is abnormal. If the construction at the power construction site is abnormal, an early warning prompt is issued to maintain the correct construction direction of the power construction site, ultimately ensuring the construction stability of the power construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0020] Figure 1 It is a schematic diagram of system module connection of the present invention.

[0021] Figure 2 The figure is a schematic flow chart of the method steps of the present invention.

[0022] Figure 3 It is a partial supervision schematic diagram of the power construction involved in the present invention. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] Reference Figure 1 As shown, the first aspect of the present invention provides an intelligent supervision system for power construction, including: a regional environment prediction and evaluation module, an on-site construction monitoring and judgment module and a supervision and early warning cloud platform.

[0025] The first aspect of the present invention provides an intelligent supervision system for power construction, which also includes a construction supervision database for storing the influencing factors of the unit values ​​corresponding to the soil stability deviation index, the soil stability definition index, the temperature reference value, the environmental suitable construction threshold, the reference number of workers, the reference working time, the reference consumption rate of electric energy and the reference consumption of various types of construction materials, and also stores the preset data described below.

[0026] The regional environment prediction and evaluation module is connected to the on-site construction monitoring and determination module, and both the regional environment prediction and evaluation module and the on-site construction monitoring and determination module are connected to the supervision and early warning cloud platform, and both the regional environment prediction and evaluation module and the on-site construction monitoring and determination module are connected to the construction supervision database.

[0027] The regional environmental prediction and assessment module is used to make environmental predictions for the power construction area, assess the environmental suitability for construction value of the power construction area, and compare it with the preset environmental suitability for construction threshold. After verification, the first construction label of the power construction area is obtained and transmitted to the supervision and early warning cloud platform.

[0028] It should be noted that the above-mentioned environmental prediction of the power construction area is carried out by the environmental prediction cloud platform within the power construction area. The environmental prediction cloud platform (such as Huawei IoT platform and Alibaba Cloud IoT platform) is connected to multiple sensors and data detection equipment, such as the temperature sensor, sulfur dioxide sensor, carbon monoxide sensor, ozone sensor, soil density meter, porosity meter and humidity sensor in this example. Through the above sensors and data detection equipment, various environmental data can be monitored in real time, and then the environmental prediction data in the power construction area can be predicted through the built-in algorithm (detailed description below) to make a more accurate judgment on whether the environment is suitable; the application scenario of the power construction area in this example can be the coastal construction type and the desert construction type; the first construction label of the power construction area is transmitted to the supervision and early warning cloud platform through the environmental prediction cloud platform, and the transmission method is wireless network.

[0029] In this example, the above-mentioned intelligent supervision process of power construction is a partial supervision diagram of power construction, such as Figure 3 As shown:

[0030] pass Figure 3 It can be seen that in order to ensure the effective construction of the power construction site, this example adds a previous condition, namely, to determine whether the environment of the construction site meets the construction standards. Through this judgment, each construction operation (such as construction personnel and construction materials) at the subsequent power construction site can reach an effective construction level, thereby reducing or even ignoring the negative impact of environmental factors on the power construction site in this example and causing a series of safety hazards, ultimately improving the safe and stable construction of the power construction site.

[0031] Specifically, the verification obtains the first construction label of the power construction area, and the specific verification process is:

[0032] The environmental suitability value of the power construction area is compared with the environmental suitability threshold preset in the construction supervision database, where the environmental suitability threshold represents the minimum environmental conditions that can ensure construction safety, efficiency and quality under a certain construction environment; if the environmental suitability value of the power construction area is equal to or lower than the environmental suitability threshold, it means that the current environmental conditions in the area may not meet the safety, efficiency and quality requirements of the construction, and the first construction tag of the power construction area is defined as an environmental abnormality, where the first construction tag of the power construction area refers to an identifier obtained after monitoring the environment of the power construction area, which can help power construction management personnel understand whether the environment of their construction area is suitable for construction; the environmental prediction cloud platform transmits the first construction tag of the power construction area to the supervision and early warning cloud platform via a wireless network.

[0033] If the environmental suitability value of the power construction area is higher than the environmental suitability threshold, the first construction label of the power construction area is defined as normal environment, indicating that the environmental conditions in the area are more suitable for construction, and no early warning is required, and subsequent power construction can be carried out.

[0034] Furthermore, the environmental prediction for the power construction area specifically includes:

[0035] Conduct environmental forecasts on the power construction area to obtain environmental information of the power construction area, including the air quality index, soil stability index and temperature value of the power construction area at each environmental forecast time point.

[0036] It needs to be explained that the above-mentioned environmental prediction time points are obtained according to the environmental prediction duration. The environmental prediction duration represents a period of time for predicting the environment of the power construction area. The acquisition method is through the accurate prediction of the environmental prediction cloud platform, and some time periods are randomly selected. The purpose is to determine whether subsequent power construction can be carried out through the environmental prediction of the environmental prediction cloud platform.

[0037] It is further explained that the above temperature values ​​are obtained as follows:

[0038] By connecting the environmental prediction cloud platform to the temperature sensor, the current real-time monitored dimension value can be obtained. At the same time, the environmental prediction cloud platform has saved the historical temperature values ​​of the power construction area. Therefore, the predicted temperature value can be obtained through the built-in univariate linear regression algorithm of the environmental prediction cloud platform. The predicted temperature value obtained by the univariate linear regression algorithm is not explained in detail in this example, but only the corresponding data is given as an example. For example, the environmental prediction cloud platform obtains the temperature value at 0 o'clock on the day through real-time monitoring by the temperature sensor. At the same time, according to the temperature value at 0 o'clock on the previous day, the built-in univariate linear regression algorithm of the environmental prediction cloud platform can obtain the temperature value at 0 o'clock on the next day, that is, the temperature value at a certain environmental prediction time point; it should be noted that although the above-mentioned univariate linear regression algorithm is an existing algorithm, it has the advantages of faster calculation speed, lower calculation cost, higher prediction accuracy, etc., so that the predicted data obtained in this example is more accurate, so the obtained environmental construction suitability value is also more accurate, which can meet the requirements of the algorithm precision calculation of this example.

[0039] In this example, the air quality index is predicted by the sulfur dioxide sensor, carbon monoxide sensor and ozone sensor to obtain the sulfur dioxide concentration, carbon monoxide concentration and ozone concentration in the power construction area. The specific calculation method is similar to the predicted temperature value mentioned above, and no detailed explanation is given here. The above data are transmitted to the environmental prediction cloud platform, and the environmental prediction cloud platform processes the data, namely:

[0040]

[0041] In the formula, AQI m is the air quality index of the power construction area at the mth environmental prediction time point, It is the sulfur dioxide concentration in the power construction area at the mth environmental prediction time point, which refers to the concentration value predicted by the environmental prediction cloud platform at the mth environmental prediction time point.

[0042] C1 is the weight factor corresponding to the sulfur dioxide concentration preset in the construction supervision database. It is a mapping set of sulfur dioxide concentration and its corresponding weight factor constructed based on the relationship between the historical sulfur dioxide concentration and the air quality index, and the real-time sulfur dioxide concentration is input into the mapping set to obtain the weight factor corresponding to the sulfur dioxide concentration. At the same time, its value range in this example is [0, 1].

[0043] It is the carbon monoxide concentration in the power construction area at the mth environmental prediction time point, which refers to the concentration value predicted by the environmental prediction cloud platform at the mth environmental prediction time point.

[0044] C2 is the weight factor corresponding to the carbon monoxide concentration preset in the construction supervision database. It is a mapping set of carbon monoxide concentration and its corresponding weight factor constructed based on the relationship between the historical carbon monoxide concentration and the air quality index, and the real-time carbon monoxide concentration is input into the mapping set to obtain the weight factor corresponding to the carbon monoxide concentration. At the same time, its value range in this example is [0, 1].

[0045] It is the ozone concentration in the power construction area at the mth environmental prediction time point, which refers to the concentration value predicted by the environmental prediction cloud platform at the mth environmental prediction time point.

[0046] C3 is the weight factor corresponding to the ozone concentration preset in the construction supervision database. It is a mapping set of ozone concentration and its corresponding weight factor constructed based on the relationship between historical ozone concentration and air quality index, and the real-time ozone concentration is input into the mapping set to obtain the weight factor corresponding to the ozone concentration. In this example, its value range is [0, 1].

[0047] D is the air quality reference concentration preset in the construction supervision database (unit: μg / m 3 ), represents the average measured concentration of pollutants in the air within a specific time period (for example, 1 hour), m is the number of each environmental prediction time point, m = 1, 2, 3, ..., x, x is the number of environmental prediction time points.

[0048] In this way, the air quality index of the power construction area can be obtained in the environmental prediction cloud platform; since the usage scenarios of this example are mostly coastal construction types and desert construction types, the types of pollutants are mostly sulfur dioxide, carbon monoxide and ozone, so the expression of the above air quality index is the pollutant type in this scenario. Of course, different scenarios will have different pollutant types, and the calculation of the corresponding air quality index will be slightly different. This example does not perform specific calculations.

[0049] Similarly, the method of obtaining the above soil stability index is the same as that of obtaining the air quality index, but the parameters used are relatively different, that is, the soil density (unit: g / cm3), porosity (unit: percentage) and water content (unit: percentage) of the power construction area are predicted by a soil densitometer, a porosity meter and a humidity sensor, and the data are transmitted to the environmental prediction cloud platform, which processes the data, namely:

[0050]

[0051] Where, SSI m is the soil stability index of the power construction area at the mth environmental prediction time point, ρ m It is the soil density of the power construction area at the mth environmental prediction time point, which refers to the soil density predicted by the environmental prediction cloud platform at the mth environmental prediction time point.

[0052] φ m It is the porosity of the power construction area at the mth environmental prediction time point, which refers to the porosity predicted by the environmental prediction cloud platform at the mth environmental prediction time point.

[0053] ω m It is the moisture content of the power construction area at the mth environmental prediction time point, and refers to the moisture content predicted by the environmental prediction cloud platform at the mth environmental prediction time point.

[0054] m is the number of each environmental prediction time point, m=1, 2, 3, ..., x, x is the number of environmental prediction time points, thus the predicted soil stability index of the power construction area can be obtained in the environmental prediction cloud platform.

[0055] It should be added that the above soil stability index will change over time, and its specific degree of change is shown in Table 1:

[0056] Soil density (unit: g / cm3) 1.5 1.6 1.3 1.8 Porosity (unit: percentage) 40 30 35 25 Water content (unit: percentage) 5 3 10 2 Soil stability index (unit: percentage) 76.9 82.9 78.3 87.0

[0057] It can be found from Table 1 above that different soil stability indexes represent different conditions of soil stability. Generally, the higher the soil stability index, the more stable the soil is and the more suitable it is for engineering applications. Among the above four groups of data, the soil stability index of the first and third columns of data groups is relatively low, indicating that the soil is not very stable, and the soil stability index of the second and fourth columns of data groups is relatively high, indicating that the soil is relatively more stable. Different coping methods can be obtained according to the soil stability index obtained from different data groups. For example, during the period when the soil stability index is high, construction can be carried out with more confidence, and reinforcement measures can be reduced, thereby saving engineering costs and improving construction quality and efficiency.

[0058] Specifically, the environmental suitability value of the power construction area is obtained through comprehensive analysis of the air quality index, soil stability index and temperature value, and its specific expression is:

[0059]

[0060] In the formula, AQI m is the air quality index of the power construction area at the mth environmental prediction time point, indicating the value obtained through comprehensive analysis of the sulfur dioxide concentration, carbon monoxide concentration and ozone concentration predicted in the power construction area in this example.

[0061] ζ2 is the influencing factor of the unit value of the soil stability deviation index preset in the construction supervision database. It is a mapping set of the soil stability deviation index and its corresponding influencing factor constructed according to the relationship between the historical soil stability deviation index and the environmental suitable construction value, and the real-time soil stability deviation index is input into the mapping set to obtain the influencing factor of the unit value of the soil stability deviation index. At the same time, its value range in this example is [0, 1].

[0062] SSI m is the soil stability index of the power construction area at the mth environmental prediction time point, which means the value obtained by comprehensive analysis of the soil density, porosity and water content of the power construction area predicted in this example.

[0063] ΔSSI is a soil stability index preset in the construction supervision database, which indicates the lowest soil stability index preset for quantifying soil stability. The value set in this example is 100.

[0064] F m It is the temperature value of the power construction area at the mth environmental prediction time point, which means the result obtained after measuring the temperature of the environment in the power construction area at a specific time point (the mth time point).

[0065] ΔF is the temperature reference value preset in the construction supervision database and is used as a standard temperature value. The value set in this example is 25 degrees Celsius.

[0066] e is a natural constant, m is the number of each environmental prediction time point, m=1,2,3,...,x, x is the number of environmental prediction time points, A is the environmental suitable construction value of the power construction area. In this example, before the power construction is carried out, if the predicted construction environment is relatively bad or even effective construction cannot be carried out, that is, the air quality index is high, it means that the air quality in this area is relatively poor and there is a large amount of air pollution. The accumulation of pollutants will affect the heat exchange process of the atmosphere, further causing the temperature in this area to rise. At the same time, high concentrations of pollutants (such as heavy metals, organic pollutants, etc.) can enter the soil through precipitation leaching or direct infiltration, affecting the structural stability of the soil, and ultimately making the power construction inefficient. Therefore, it is necessary to determine whether the environmental conditions can support the construction process of the power construction area, that is, predict the air quality, soil stability and ambient temperature of this area. If the air quality index is low, the soil stability index is close to the preset soil stability definition index, and the ambient temperature is close to the reference temperature suitable for construction, it is generally known that the construction environment in this area is good and the construction project can be carried out.

[0067] In a specific embodiment, the present invention makes accurate environmental predictions for power construction areas, obtains air quality indexes, soil stability indexes, and temperature values, and thereby obtains environmental suitability values ​​for construction in the power construction area through comprehensive evaluation of multi-dimensional data, thereby timely determining whether construction can be carried out, thereby reducing safety accidents caused by harsh environments.

[0068] The on-site construction monitoring and judgment module is used to monitor the construction status of the power construction site, so as to determine the construction abnormality value of the power construction site, and compare it with the preset construction abnormality threshold, thereby generating a second construction label of the power construction site and transmitting it to the supervision and early warning cloud platform.

[0069] It should be noted that the above-mentioned monitoring of the construction conditions of the power construction site is subject to construction conditions, that is, the first construction label of the above-mentioned power construction area is the previous condition when the environment is normal. Of course, the environmental monitoring time when judging the environment is the predicted environmental time. For example, if you want to carry out power construction from 8:00 to 18:00 on the same day, the environmental monitoring time is also from 8:00 to 18:00 on the same day, but the judgment time is the time before 8:00 to 18:00 on the same day, that is, the predicted environmental suitable construction value corresponding to 8:00 to 18:00 on the same day. Although it is a predicted environmental suitable construction value, since the above-mentioned environmental prediction cloud platform can obtain comprehensive and accurate environmental data, it can provide rich reference data for the operation of the univariate linear regression algorithm. At the same time, the environmental prediction cloud platform can update its prediction results in real time by real-time processing and analysis of sensor data, thereby ensuring the real-time accuracy of environmental data. The environmental prediction cloud platform can also be combined with other types of algorithms and has great scalability. Therefore, the predicted environmental suitable construction value is real-time and accurate.

[0070] It needs to be explained that the above-mentioned monitoring of the construction status of the power construction site is monitored by the construction project management system within the power construction area. The construction project management system can be connected to multiple sensors and data detection equipment, such as the electric energy meter in this example. The purpose is to be able to monitor the construction data within the power construction site in real time to make a more accurate judgment on whether the construction is good; the power construction site is the work site for the construction and renovation of power facilities; the second construction tag of the power construction site is transmitted to the supervision and early warning cloud platform through the construction project management system, and the transmission method is a wireless network.

[0071] Furthermore, the specific process of generating the second construction label of the power construction site is as follows:

[0072] The construction anomaly value of the power construction site is compared with the construction anomaly threshold preset in the construction supervision database, where the construction anomaly threshold represents the upper limit of the construction anomaly value set during the construction process to ensure construction safety, quality and efficiency. If the construction anomaly value of the power construction site is higher than the construction anomaly threshold, it means that some situations that exceed the predetermined standards or risk control range have occurred during the construction process. The second construction tag of the power construction site is defined as a construction anomaly, where the second construction tag of the power construction site refers to an identifier obtained after monitoring the construction process of the power construction area. This identifier can help power construction management personnel understand whether the construction process in their construction area meets their construction standards; the construction project management system transmits the second construction tag of the power construction site to the supervision and early warning cloud platform via a wireless network.

[0073] If the construction abnormality value of the power construction site is equal to or lower than the construction abnormality threshold, the second construction label of the power construction site is defined as normal construction, indicating that the current construction activities are within the preset safety, quality, efficiency and environmental protection standards. There is no need for early warning and construction can continue.

[0074] Specifically, the monitoring of the construction status of the power construction site includes:

[0075] The construction status of the power construction site is monitored to obtain the construction data of the power construction site, including the average daily number of workers at the power construction site within the set supervision period, the average working hours per person, the average daily consumption rate of power energy, and the average daily consumption of various construction materials.

[0076] It needs to be explained that the above-mentioned average daily consumption rate of electric energy can be obtained through real-time monitoring by an electric energy meter, that is, the electric energy meter collects power consumption in real time within the set supervision period, and the electric energy meter transmits the collected power consumption to the construction project management system, so that the construction project management system performs mean processing to calculate the average daily consumption rate of electric energy. For example, the total power consumption within the set supervision period can be calculated, and then divided by the length of the time period to obtain the average daily consumption rate of electric energy; the average daily number of workers is obtained by obtaining the employee attendance records through the employee attendance system in the construction project management system, so as to calculate the average daily number of workers; the average working hours per person can be obtained by obtaining the employee working hours through the employee work records in the construction project management system, so as to calculate the average working hours per person; the average daily consumption of various types of construction materials is obtained by obtaining the consumption of various types of construction materials through the material inventory management and usage records in the construction project management system, so as to calculate the average daily consumption.

[0077] Among them, the types of construction materials include but are not limited to building materials (concrete, steel bars) and power construction materials (cables, transformers).

[0078] It should be noted that the set supervision cycle is the environmental prediction duration of the above-mentioned prediction environment. The two durations are the same and indicate the same time, but the above is prediction data, so it is defined as the environmental prediction duration, and here is the monitoring status of the construction, so it is defined as the set supervision cycle; the method of obtaining the set supervision cycle can be extracted from the construction project management system, because the construction project management system will monitor the construction process in real time, so the set supervision cycle is also in the construction project management system.

[0079] Furthermore, the specific determination process of determining the abnormal construction value of the power construction site is as follows:

[0080] The average daily number of workers, average working hours per person, average daily consumption rate of electric energy, and average daily consumption of various construction materials at the power construction site within the set supervision period are comprehensively processed to ultimately determine the construction anomalies at the power construction site.

[0081] Specifically, the construction abnormal value of the power construction site is specifically expressed as follows:

[0082]

[0083] In the formula, S rc It is the average daily number of workers at the power construction site during the set supervision period, indicating the average number of construction workers entering the construction site to work every day during the set supervision period.

[0084] S Δrc The reference number of people who go to work preset for the construction supervision database refers to the average number of people who enter the construction site every day during the set supervision period. It reflects the configuration of construction personnel and is used to evaluate the current labor efficiency.

[0085] S sc It is the average working time per person at the power construction site within the set supervision period, indicating the actual working time of each construction worker at the construction site on average every day.

[0086] S Δsc The reference working time preset for the construction supervision database refers to the average length of appropriate working time for each construction worker at the construction site. This value can reflect the work intensity and work efficiency of the construction workers.

[0087] S sv It is the average daily consumption rate of electric energy at the power construction site within the set supervision period, indicating the average daily consumption of electric energy within the supervision period.

[0088] S Δsv The reference consumption rate of electric energy preset for the construction supervision database refers to the adapted value of the average daily consumption of electric energy within the set supervision period. This indicator can help formulate a more reasonable energy use strategy, reduce waste, and reduce energy consumption costs.

[0089] It is the average daily consumption of the pth type of construction materials at the power construction site during the set supervision period, indicating the specific quantity of each type of construction material consumed on average every day during the supervision period.

[0090] The reference consumption of the pth type of construction materials preset for the construction supervision database refers to the appropriate quantity of each type of construction materials consumed on average per day within the set supervision period. Through this indicator, the material procurement and use plan can be optimized to avoid waste caused by excessive procurement, or the production plan can be adjusted in time when materials are in short supply.

[0091] p is the number of each type of construction material, p = 1, 2, 3, ..., u, u is the total type of construction materials.

[0092] β is the construction abnormal value of the power construction site. During the power construction process, even if the suitability of the environment has been ensured, there are still abnormal construction progress during the construction process, that is, the average daily number of workers deviates from the reference number of workers, the average working time per person deviates from the reference working time, the average daily consumption rate of electric energy deviates from the reference consumption rate of electric energy, or the average daily consumption of construction materials deviates from the reference consumption. If one of the above conditions exists, even if other conditions are relatively good, the construction efficiency of this construction area will be reduced, and the construction cannot be carried out according to the expected progress, resulting in extended operation time of the power area; and the large difference between the average daily number of workers and the reference number of workers will cause a large fluctuation in the working time of the construction personnel, that is, the average working time per person will have a greater deviation from the reference working time, which will further lead to the unstable power consumption rate and consumption of construction materials at the construction site, which is not conducive to the improvement of construction quality in the construction area; in summary, it is necessary to strictly monitor its construction progress to ensure that the power construction is completed within a reasonable construction progress, and ultimately ensure the stable operation of its power area.

[0093] In a specific embodiment, the present invention monitors the construction status of an electric power construction site where the environment is suitable for construction, obtains various construction data of the electric power construction site, and determines whether the construction at the electric power construction site is abnormal. If the construction at the electric power construction site is abnormal, an early warning prompt is issued to maintain the correct construction direction of the electric power construction site, ultimately ensuring the construction stability of the electric power construction site.

[0094] The supervision and early warning cloud platform is used to receive the first construction label of the power construction area and the second construction label of the power construction site, and to issue corresponding early warning prompts.

[0095] It should be noted that the above-mentioned supervision and early warning cloud platform is specifically used to monitor abnormal construction activities in power construction areas. The platform is connected to the environmental prediction cloud platform and the construction project management system through a wireless network to obtain abnormal conditions in the power construction area.

[0096] Specifically, the corresponding early warning prompt is performed, and the specific early warning prompt process is:

[0097] The supervision and early warning cloud platform receives the first construction tag of the power construction area. If the first construction tag of the power construction area is an abnormal environment, an early warning prompt is issued for the environment of the power construction area. The specific early warning prompt process is as follows:

[0098] The supervision and early warning cloud platform issues an abnormal environment warning to the power construction supervision platform through the wireless network. The power construction supervision platform then notifies each construction personnel, consumption management personnel of each construction material, etc. through text messages, phone calls, etc. After receiving this notification, each personnel will not carry out construction in this environment. At the same time, the power construction supervision platform can autonomously stop the operation of each equipment and various operations in progress (the equipment and personnel corresponding to the stopped operation here refer to the parts that are most affected by the harsh environment) until the environmental suitability for construction value in the power construction area is higher than the environmental suitability for construction threshold, and then construction can be carried out.

[0099] It should be explained that the above-mentioned power construction supervision general platform refers to the general platform for power construction supervision in this example, including but not limited to the environmental prediction cloud platform, the construction project management system and the supervision and early warning cloud platform.

[0100] The supervision and early warning cloud platform receives the second construction tag of the power construction site. If the second construction tag of the power construction site indicates construction abnormality, an early warning will be issued for the construction status of the power construction site. The specific early warning process is as follows:

[0101] The supervision and early warning cloud platform issues a construction abnormality warning to the power construction supervision general platform through the wireless network. The power construction supervision general platform then notifies each construction personnel, each construction material consumption management personnel, etc. through text messages, phone calls, etc. After receiving this notification, each personnel needs to readjust their working hours, working times or material consumption, as well as various operations under construction (the equipment and personnel corresponding to the stopped operation here refer to the parts whose construction quality is not up to standard) until the construction abnormality value at the power construction site is equal to or lower than the construction abnormality threshold, so as to improve the construction quality of the construction area.

[0102] Reference Figure 2As shown, the second aspect of the present invention provides a method for an intelligent supervision system for power construction, including: regional environmental prediction and evaluation: performing environmental prediction on the power construction area, evaluating the environmental suitability for construction value of the power construction area, and comparing it with a preset environmental suitability for construction threshold, and obtaining a first construction label of the power construction area after verification and transmitting it to a supervision and early warning cloud platform; on-site construction monitoring and judgment: monitoring the construction conditions of the power construction site to determine the construction abnormality value of the power construction site, and comparing it with a preset construction abnormality threshold, thereby generating a second construction label of the power construction site and transmitting it to the supervision and early warning cloud platform; supervision and early warning cloud platform: receiving the first construction label of the power construction area and the second construction label of the power construction site, and making corresponding early warning prompts.

[0103] In a specific embodiment, the present invention provides an intelligent supervision system and method for power construction, performs environmental forecasts on the power construction area, and evaluates the environmental suitability for construction in the power construction area. It can be determined whether the environment in the power construction area meets the construction standards, and monitors the construction conditions at the power construction site to provide accurate environmental reference basis. By determining abnormal construction values ​​at the power construction site and issuing early warning prompts, construction problems can be discovered and corrected in a timely manner, thereby improving the overall construction quality and efficiency.

[0104] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent supervision system for electric power construction, characterized in that: include: The regional environmental prediction and assessment module is used to make environmental predictions for the power construction area, assess the environmental suitability for construction in the power construction area, and compare it with the preset environmental suitability for construction threshold. After verification, the first construction label of the power construction area is obtained and transmitted to the supervision and early warning cloud platform; The on-site construction monitoring and determination module is used to monitor the construction status of the power construction site, so as to determine the construction abnormality value of the power construction site, and compare it with the preset construction abnormality threshold, thereby generating a second construction label of the power construction site and transmitting it to the supervision and early warning cloud platform; The supervision and early warning cloud platform is used to receive the first construction label of the power construction area and the second construction label of the power construction site, and issue corresponding early warning prompts.

2. According to claim 1, an intelligent supervision system for electric power construction is characterized in that: The specific process of performing environmental prediction on the power construction area includes: Conduct environmental forecasts on the power construction area to obtain environmental information of the power construction area, including the air quality index, soil stability index and temperature value of the power construction area at each environmental forecast time point.

3. According to claim 2, an intelligent supervision system for electric power construction is characterized in that: The environmental suitability construction value of the power construction area is specifically expressed as: Where A is the environmental suitability value for power construction areas, AQI m is the air quality index of the power construction area at the mth environmental prediction time point, ζ2 is the impact factor of the soil stability deviation index corresponding to the unit value preset in the construction supervision database, SSI m is the soil stability index of the power construction area at the mth environmental prediction time point, ΔSSI is the soil stability definition index preset in the construction supervision database, and F m is the temperature value of the power construction area at the mth environmental prediction time point, ΔF is the temperature reference value preset in the construction supervision database, e is a natural constant, m is the number of each environmental prediction time point, m=1,2,3,...,x, x is the number of environmental prediction time points.

4. According to claim 1, an intelligent supervision system for electric power construction is characterized in that: The verification obtains the first construction label of the power construction area, and the specific verification process is as follows: The environmental suitability value of the power construction area is compared with the environmental suitability threshold preset in the construction supervision database. If the environmental suitability value of the power construction area is equal to or lower than the environmental suitability threshold, the first construction label of the power construction area is defined as an abnormal environment. If the environmental suitability value of the power construction area is higher than the environmental suitability threshold, the first construction label of the power construction area is defined as a normal environment.

5. According to claim 1, an intelligent supervision system for electric power construction is characterized in that: The monitoring of the construction status of the power construction site specifically includes: The construction status of the power construction site is monitored to obtain the construction data of the power construction site, including the average daily number of workers at the power construction site within the set supervision period, the average working hours per person, the average daily consumption rate of power energy, and the average daily consumption of various construction materials.

6. The intelligent supervision system for electric power construction according to claim 5, characterized in that: The specific determination process of determining the abnormal construction value at the power construction site is as follows: The average daily number of workers, average working hours per person, average daily consumption rate of electric energy, and average daily consumption of various construction materials at the power construction site within the set supervision period are comprehensively processed to ultimately determine the construction anomalies at the power construction site.

7. The intelligent supervision system for electric power construction according to claim 6, characterized in that: The construction abnormal value of the power construction site is specifically expressed as: In the formula, S rc is the average number of workers per day at the power construction site during the set supervision period, S Δrc The reference number of workers preset in the construction supervision database, S sc is the average working hours per person at the power construction site within the set supervision period, S Δsc The construction supervision database preset working time reference length, S sv is the average daily consumption rate of electric energy at the power construction site within the set supervision period, S Δsv The reference consumption rate of electric energy preset for the construction supervision database, is the average daily consumption of the pth type of construction materials at the power construction site within the set supervision period, is the reference consumption of the pth type of construction material preset in the construction supervision database, p is the number of each type of construction material, p=1,2,3,...,u, u is the total type of construction materials, and β is the construction abnormal value of the power construction site.

8. The intelligent supervision system for electric power construction according to claim 1, characterized in that: The specific process of generating the second construction label of the power construction site is as follows: The construction abnormality value of the power construction site is compared with the construction abnormality threshold preset in the construction supervision database. If the construction abnormality value of the power construction site is higher than the construction abnormality threshold, the second construction label of the power construction site is defined as construction abnormality; If the construction abnormality value of the electric power construction site is equal to or lower than the construction abnormality threshold, the second construction label of the electric power construction site is defined as normal construction.

9. The intelligent supervision system for electric power construction according to claim 1, characterized in that: The corresponding early warning prompt is performed, and the specific early warning prompt process is: The supervision and early warning cloud platform receives the first construction tag of the power construction area. If the first construction tag of the power construction area indicates an abnormal environment, an early warning prompt is issued for the environment of the power construction area; The supervision and early warning cloud platform receives the second construction tag of the power construction site. If the second construction tag of the power construction site indicates construction abnormality, an early warning prompt is issued for the construction status of the power construction site.

10. A method for applying the intelligent supervision system for electric power construction as claimed in any one of claims 1 to 9, characterized in that: include: Regional environmental prediction and assessment: Conduct environmental prediction for the power construction area, assess the environmental suitability of the power construction area, and compare it with the preset environmental suitability threshold. After verification, the first construction label of the power construction area is obtained and transmitted to the supervision and early warning cloud platform; On-site construction monitoring and judgment: Monitor the construction status of the power construction site to determine the construction abnormality of the power construction site, and compare it with the preset construction abnormality threshold, thereby generating a second construction label of the power construction site and transmitting it to the supervision and early warning cloud platform; Supervision and early warning cloud platform: receives the first construction label of the power construction area and the second construction label of the power construction site, and issues corresponding early warning prompts.

Images